Srinivas Tadepalli | Mechanical Engineering | Best Researcher Award

Dr. Srinivas Tadepalli | Mechanical Engineering | Best Researcher Award 

ASSISTANT PROFESSOR,  Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Dr. Srinivas Tadepalli is an accomplished Assistant Professor of Chemical Engineering at Imam Muhammad Bin Saud Islamic University, Saudi Arabia. With over 9 years of teaching experience and a solid research foundation, he holds a Ph.D. in Chemical Engineering from UPES, Dehradun. His research specializes in environmental engineering, particularly in water pollution, bio-remediation, and low-cost adsorption techniques for heavy metal removal. Dr. Tadepalli has contributed significantly to the academic world with 30+ peer-reviewed publications, several books, and international conference presentations. His teaching portfolio spans undergraduate and postgraduate courses, along with lab development and coordination. He is widely recognized for his innovative teaching methodologies and extensive work on adsorption modeling and simulation. Dr. Tadepalli has also been actively involved in academic coordination, technical events, and quality assurance programs. Passionate about sustainability, he continues to mentor students and contribute to environmental research through interdisciplinary collaborations worldwide.

Professional Profile

🎓 Education 

Dr. Srinivas Tadepalli’s educational journey reflects a strong foundation in engineering disciplines. He earned his Ph.D. in Chemical Engineering (2011–2017) from the University of Petroleum & Energy Studies (UPES), Dehradun, with a focus on environmental pollution and heavy metal remediation using adsorbents. Prior to that, he completed his M.Tech in Gas Engineering (2008–2010) at UPES, achieving 85.4% and submitting a thesis on the design of compact heat exchangers. He holds a B.Tech in Chemical Engineering (2004–2008) from Bapatla Engineering College, affiliated with Acharya Nagarjuna University, where he conducted a project on xylene separation using distillation and extraction. Dr. Tadepalli also excelled in his early education, scoring 88.7% in Intermediate (2002–2004) and 84% in SSC (2001–2002). Throughout his academic path, he demonstrated excellence by securing top state ranks and qualifying national-level competitive exams like GATE and PGECET.

👨‍🏫 Experience 

Dr. Tadepalli has an extensive teaching and research career spanning over 15 years, including international appointments. Since December 2019, he has been serving as Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. His past appointments include Assistant Professorships at Chandigarh University, Galgotias University, Bule Hora University (Ethiopia), and NIT Warangal. He began as a teaching assistant and research fellow at UPES Dehradun (2011–2015), where he completed his doctoral research. His responsibilities have included course instruction, lab development, curriculum design, project supervision, and academic coordination. He is adept in subjects such as Thermodynamics, Mass Transfer, Instrumentation, Wastewater Treatment, and Alternative Energy Technologies. Additionally, he has coordinated technical events, handled IPR and publications, and acted as a Department Research Committee (DRC) member. His international teaching exposure and consistent research productivity distinguish him as a versatile and committed academic professional.

🔬 Research Focus 

Dr. Srinivas Tadepalli’s research is deeply rooted in environmental and chemical engineering, with a strong emphasis on adsorption technologies for heavy metal remediation from industrial effluents. His doctoral work explored low-cost biosorbents in packed bed columns, integrating FTIR analysis, AAS, and isotherm-kinetic modeling. He has developed several models like Thomas, BDST, Yoon-Nelson, and Adam–Bohart for batch and continuous adsorption processes. His current interests extend to nanomaterials, biopolymers, biochar, wastewater treatment, thermodynamic modeling, sorption capacity enhancement, and green technologies. Dr. Tadepalli’s collaborative projects have included CFD simulations, composite fiber development, and bioremediation techniques using agricultural and industrial waste. His publications also focus on kinetic studies, statistical optimization, and comparative evaluations of adsorbents. With a practical approach, he links experimental data to real-world industrial solutions. Through interdisciplinary collaborations, he aims to tackle global challenges in sustainable water treatment, waste valorization, and pollution control.

📚Publications Top Notes

 Biosorption of toxic heavy metals on sawdust

Citation:
V. Mishra, S. Tadepalli. CLEAN – Soil, Air, Water, 43(3), 360–367, 2015
Cited by: 24
Summary:
This study explores the efficiency of sawdust as a low-cost biosorbent for the removal of heavy metals like lead and cadmium from contaminated water. The adsorption mechanisms, equilibrium models, and reusability aspects were evaluated to determine its suitability in industrial wastewater treatment.

Synthesis and suitability characterization of microcrystalline cellulose from Citrus x sinensis sweet orange peel fruit waste-based biomass for polymer composite applications

Citation:
M. Palaniappan, S. Palanisamy, R. Khan, N. H. Alrasheedi, S. Tadepalli, et al. Journal of Polymer Research, 31(4), 105, 2024
Cited by: 18
Summary:
This research highlights the extraction of microcrystalline cellulose (MCC) from sweet orange peel waste. The resulting MCC was characterized and tested for compatibility in polymer composite applications, offering a sustainable path for waste valorization and advanced material design.

Novel Ficus retusa L. aerial root fiber: a sustainable alternative for synthetic fibres in polymer composites reinforcement

Citation:
M. Palaniappan, S. Palanisamy, T.M. Murugesan, N.H. Alrasheedi, S. Ataya, S. Tadepalli, et al. Biomass Conversion and Biorefinery, 15(5), 7585–7601, 2025
Cited by: 16
Summary:
The study introduces aerial root fiber from Ficus retusa as a green reinforcement material in polymer composites. Mechanical, thermal, and morphological analyses confirmed its potential as an eco-friendly alternative to synthetic fibers.

 Potential for hydrothermally separated groundnut shell fibers for removal of methylene blue dye

Citation:
D. Sachdev, H. Shrivastava, S. Sharma, S. Srivastava, S. Tadepalli, et al. Materials Today: Proceedings, 48, 1559–1568, 2022
Cited by: 15
Summary:
This paper evaluates the adsorption capacity of groundnut shell fibers, treated hydrothermally, for removing methylene blue dye. It investigates isotherms and kinetics to demonstrate the fiber’s potential in textile effluent remediation.

Removal of Cu(II) and Fe(II) from industrial wastewater using orange peel as adsorbent in batch mode operation

Citation:
S. Tadepalli, K.S.R. Murthy, N.N. Rakesh. International Journal of ChemTech Research, 9(5), 290–299, 2016
Cited by: 12
Summary:
This work examines the batch adsorption of copper and iron ions from wastewater using orange peel. The findings support its cost-effectiveness, with modeling of adsorption behavior using Freundlich and Langmuir isotherms.

🏅 Conclusion

Dr. Srinivas Tadepalli’s distinguished career reflects a steadfast commitment to academic excellence, impactful research, and sustainable innovation in chemical and environmental engineering. His work on low-cost adsorption technologies, wastewater treatment, and environmental remediation has contributed significantly to solving pressing industrial challenges. With a strong foundation in teaching, mentoring, and interdisciplinary collaboration, he continues to bridge the gap between science and society. Looking ahead, Dr. Tadepalli remains devoted to advancing green technologies, guiding future engineers, and fostering global research partnerships that promote cleaner, safer, and more sustainable solutions for the world.

Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award

Mr. Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award 

Lecturer, University of South Africa, South Africa

Kgaogelo Edwin Ramatsetse is a dedicated lecturer and food science researcher at the University of South Africa (UNISA), specializing in food safety and functional meat product innovation. With a passion for advancing nutritional science, he explores the use of indigenous African crops like Bambara groundnut and Moringa oleifera to enhance meat quality and public health outcomes. His interdisciplinary approach integrates food microbiology, product development, and preservation technologies. Recognized as the Best Graduand in Food Science and Technology at the University of Venda, Ramatsetse continues to mentor students, collaborate with research teams, and publish impactful scientific articles that contribute to both academic advancement and industry transformation.

Professional Profile

Google Scholar

🎓 Education

Ramatsetse holds a Master of Science (MSc) in Food Science and Technology from the University of Venda. His academic training focused on bioprocessing, nutritional analysis, quality assurance, and food preservation. This solid foundation has guided his professional path as an educator and researcher.

💼 Experience

Ramatsetse’s career journey spans academia, government research, and the private sector. He served as a Research and Innovation Intern at the University of Venda, a Laboratory Assistant, and later interned at the Agricultural Research Council. He also gained industry exposure at Cavalier Foods. Currently, as a lecturer at UNISA, he leads research initiatives, mentors undergraduate and postgraduate students, and contributes to academic development through publications and conferences.

🔬 Research Interests

His primary research interests include food safety, meat science, nutritional enhancement through functional ingredients, and the valorization of underutilized crops. He is particularly interested in the microbiological safety of meat products and how plant-based fortification can improve shelf life, sensory attributes, and health benefits. Ramatsetse is also developing a PhD proposal focusing on meat safety, microbial hazards, and regulatory frameworks.

📚Publications Top Notes

“Effects of Adding Moringa oleifera Leaves Powder on the Nutritional Properties, Lipid Oxidation and Microbial Growth in Ground Beef during Cold Storage”
Authors: Mashau ME, Ramatsetse KE, Ramashia SE
Journal: Applied Sciences, Vol. 11(7), Article 2944 (2021)
Citations: 44
Summary: This experimental study demonstrated that incorporating Moringa oleifera powder into ground beef significantly improved its antioxidant stability, delayed lipid oxidation, and inhibited microbial growth during refrigeration. The findings support the use of natural plant additives for extending the shelf life and enhancing the nutritional profile of meat products.

“A Review on Health Benefits, Antimicrobial and Antioxidant Properties of Bambara Groundnut (Vigna subterranea)”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: International Journal of Food Properties, Vol. 26(1), pp. 91–107 (2023)
Citations: 39
Summary: This comprehensive review compiled existing research on the health-promoting properties of Bambara groundnut, highlighting its high protein content, bioactive compounds, and potential as a sustainable functional ingredient. The paper emphasized its antioxidant and antimicrobial capabilities, encouraging its use in food systems, especially meat formulations.

“Impact of Industrial Revolutions on Food Machinery – An Overview”
Authors: Jideani AIO, Mutshinyani AP, Maluleke NP, Mafukata ZP, Sithole MV, et al. (incl. Ramatsetse KE)
Journal: Journal of Food Research, Vol. 9(5), pp. 42–52 (2020)
Citations: 27
Summary: This article reviewed the evolution of food processing machinery across industrial revolutions, discussing advancements in automation, digitalization, and intelligent systems. Ramatsetse’s contribution helped assess how modern machinery can improve food safety, quality, and efficiency in production.

“The Incorporation of Moringa oleifera Leaves Powder in Mutton Patties: Influence on Nutritional Value, Technological Quality, and Sensory Acceptability”
Authors: Khomola GT, Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Open Agriculture, Vol. 6(1), pp. 738–748 (2021)
Citations: 10
Summary: This study assessed the effects of adding Moringa leaf powder to mutton patties. It showed improvements in protein and fiber content, while enhancing water-holding capacity and maintaining consumer acceptability. The research validates the role of Moringa in creating healthier, functional meat products.

“Effect of Partial Mutton Meat Substitution with Bambara Groundnut (Vigna subterranea (L.) Verdc.) Flour on Physicochemical Properties, Lipid Oxidation, and Sensory Attributes”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Food Science & Nutrition, Vol. 12(6), pp. 4019–4037 (2024)
Citations: 6
Summary: This recent article explored replacing mutton with Bambara groundnut flour in patties. The results showed improved moisture retention and antioxidant capacity, while reducing saturated fat content. It also maintained favorable taste and texture, supporting plant-based meat innovation.

🏅 Conclusion

Kgaogelo Edwin Ramatsetse is a promising researcher whose academic achievements and published work are already contributing to food safety, public health, and sustainable innovation in meat science. His research addresses timely challenges in nutrition and food preservation, using African resources to find global solutions. With a total of 8 journal publications, a citation index of 4, and several high-impact articles, he continues to expand his influence in both academic and applied food science. His commitment to student mentorship, multidisciplinary collaboration, and research dissemination makes him a strong candidate for the Best Researcher Award.

Eyachew Misganew Tegaw | Cancer | Best Researcher Award

Assist. Prof. Dr. Eyachew Misganew Tegaw | Cancer | Best Researcher Award

Assistant Professor of Medical Physics, Debre Tabor University, Ethiopia

Dr. Eyachew Misganew Tegaw is an Assistant Professor at Debre Tabor University, Ethiopia, specializing in Medical Physics. He earned his PhD from Tehran University of Medical Sciences, focusing on enhancing intraoperative radiotherapy for breast cancer using nanoparticles. With a robust background in condensed matter and applied physics, Dr. Tegaw has contributed significantly to radiotherapy, dosimetry, and medical imaging research. His work integrates advanced computational methods, including Monte Carlo simulations and machine learning, to improve cancer treatment outcomes. Dr. Tegaw’s dedication to academia and research has positioned him as a leading figure in medical physics, with numerous publications and collaborations that underscore his commitment to advancing cancer therapy.

Professional Profile

Education

Dr. Eyachew Misganew Tegaw’s academic journey began with a BSc in Applied Physics from the University of Gondar, Ethiopia. He then pursued an MSc in Condensed Matter Physics at Mekelle University, where he conducted a theoretical study on gold-coated iron nanoparticles for medical applications. His academic pursuits culminated in a PhD in Medical Physics from Tehran University of Medical Sciences, Iran. His doctoral research focused on enhancing intraoperative radiotherapy for breast cancer using effective nanoparticles, under the guidance of esteemed supervisors and advisors. Throughout his education, Dr. Tegaw has undertaken comprehensive coursework in areas such as radiobiology, radiation protection, imaging techniques, and computational physics, laying a strong foundation for his research endeavors in medical physics.

Experience 

Dr. Eyachew Misganew Tegaw has amassed extensive experience in academia and research. He began his career as a Lecturer in the Department of Physics at Debre Tabor University, Ethiopia, where he served from April 2011 to August 2016. Following his doctoral studies, he resumed his role at the university as an Assistant Professor in October 2020. In addition to teaching, Dr. Tegaw has held leadership positions, including Head of the Physics Department and Chairman of the Ethiopian Space Science Society’s Debre Tabor branch. His responsibilities have encompassed curriculum development, research supervision, and organizing workshops aimed at enhancing educational quality and research output. Dr. Tegaw’s commitment to education and research has significantly contributed to the advancement of medical physics in Ethiopia.

Research Focus 

Dr. Eyachew Misganew Tegaw’s research centers on advancing cancer treatment through medical physics. His primary focus areas include radiotherapy techniques such as 3D-CRT, IMRT, VMAT, and IORT, with a particular interest in dose enhancement using nanoparticles. He employs Monte Carlo simulations to model radiation interactions and optimize treatment planning. Dr. Tegaw also explores the integration of artificial intelligence and machine learning to predict treatment outcomes and personalize therapy. His interdisciplinary approach extends to imaging modalities like CT, MRI, and nuclear medicine, aiming to improve diagnostic accuracy and treatment efficacy. Through his research, Dr. Tegaw seeks to bridge the gap between theoretical physics and clinical applications, contributing to the development of more effective and safer cancer therapies.

Publication Top Notes

  1. Explainable Machine Learning to Compare the Overall Survival Status Between Patients Receiving Mastectomy and Breast Conserving Surgeries

    • Authors: Betelhem Bizuneh Asfaw, Eyachew Misganew Tegaw

    • Published: March 2025

    • Journal: Scientific Reports

    • Summary: This study utilizes explainable machine learning techniques to compare survival outcomes between breast cancer patients undergoing mastectomy versus breast-conserving surgery, providing insights into treatment efficacy.

  2. Explainable Machine Learning and Feature Interpretation to Predict Survival Outcomes in the Treatment of Lung Cancer

    • Authors: Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

    • Published: May 2025

    • Journal: Seminars in Oncology

    • Summary: The research applies explainable machine learning models to predict survival outcomes in lung cancer treatment, highlighting key biomarkers influencing patient prognosis.

  3. Attenuation Correction for Dedicated Cardiac SPECT Imaging Without Using Transmission Data

    • Authors: Getu Tadesse, Parham Geramifar, Mehrshad Abbasi, Eyachew Misganew Tegaw, et al.

    • Published: February 2023

    • Journal: Molecular Imaging and Radionuclide Therapy

    • Summary: This study proposes a method for attenuation correction in cardiac SPECT imaging without relying on transmission data, enhancing image quality and diagnostic accuracy.

  4. Diagnostic Performance of Mammography and Ultrasound in Breast Cancer: A Systematic Review and Meta-Analysis

    • Authors: Getu Tadesse, Eyachew Misganew Tegaw, Ejigu Kebede Abdisa

    • Published: January 2023

    • Journal: Journal of Ultrasound

    • Summary: The meta-analysis evaluates the diagnostic accuracy of mammography and ultrasound in breast cancer detection, providing evidence-based recommendations for clinical practice.

  5. Gold-Nanoparticle-Enriched Breast Tissue in Breast Cancer Treatment Using the INTRABEAM® System: A Monte Carlo Study

    • Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Somayeh Gholami, Mehdi Shojaei, Getu Tadesse

    • Published: March 2022

    • Journal: Radiation and Environmental Biophysics

    • Summary: This research investigates the use of gold nanoparticles to enhance the efficacy of intraoperative radiotherapy in breast cancer treatment, utilizing Monte Carlo simulations for dose distribution analysis.

  6. Comparison of Organs at Risk Doses Between Deep Inspiration Breath-Hold and Free-Breathing Techniques During Radiotherapy of Left-Sided Breast Cancer: A Meta-Analysis

    • Authors: Eyachew Misganew Tegaw, Getu Tadesse, Ghazale Geraily, Somayeh Gholami, Wondesen Tassew Gebreamlak

    • Published: March 2022

    • Journal: Polish Journal of Medical Physics and Engineering

    • Summary: The study compares radiation doses to critical organs using deep inspiration breath-hold versus free-breathing techniques in left-sided breast cancer radiotherapy, highlighting the benefits of breath-hold methods.

  7. Dosimetric Effect of Nanoparticles in the Breast Cancer Treatment Using INTRABEAM® System with Spherical Applicators in the Presence of Tissue Heterogeneities: A Monte Carlo Study

    • Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, Hossein Ghanbari, Somayeh Gholami, Mehdi Shojaei, Mostafa Farzin, Getu Tadesse

    • Published: April 2021

    • Journal: Biomedical Physics & Engineering Express

    • Summary: This study evaluates the impact of tissue heterogeneities on dose distribution when using nanoparticles in intraoperative radiotherapy for breast cancer, employing Monte Carlo simulations for analysis.

  8. A Comparison Between EGSnrc/Epp and MCNP Monte Carlo Codes in Simulation of the INTRABEAM® System with Spherical Applicators

    • Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, Somayeh Gholami, Hossein Ghanbari, Mostafa Farzin, Getu Tadesse, Mehdi Shojaei

    • Published: January 2021

    • Journal: Journal of Biomedical Physics & Engineering

    • Summary: The research compares two Monte Carlo simulation codes, EGSnrc/Epp and MCNP, in modeling the INTRABEAM® system for breast cancer treatment, assessing their accuracy and computational efficiency.

Conclusion

Dr. Eyachew Misganew Tegaw stands out as a promising and innovative researcher in the field of medical physics and oncology technology. His diverse yet focused expertise, combined with his growing publication record, interdisciplinary approaches, and contribution to science leadership in Ethiopia, strongly support his nomination for a Best Researcher Award.

Ismail Kara | Cancer Genetic | Best Faculty Award

Prof. Dr. Ismail Kara | Cancer Genetic | Best Faculty Award

Cukurova university faculty of medicine department of medical oncology, Turkey

Prof. Dr. İsmail Oğuz Kara is a distinguished medical oncologist serving at Çukurova University Faculty of Medicine. He completed his medical degree at Hacettepe University in 1995 and earned specialization in Internal Medicine and Medical Oncology from Çukurova University. With a career spanning over two decades, Dr. Kara has held several academic titles from Assistant Professor to Full Professor since 2013. His expertise lies in clinical oncology, translational cancer research, and leading clinical trials. He has served as a principal or co-investigator in numerous international and national clinical studies, particularly in melanoma, gastric, and hepatocellular carcinomas. Dr. Kara holds extensive certifications in Good Clinical Practice (GCP) and remains active in the Turkish Oncology Group. He has published impactful articles in prestigious journals and is committed to advancing evidence-based cancer therapies. His work continues to shape cancer treatment protocols and research across Turkey and beyond.

Professional Profile

Education

Prof. Dr. İsmail Oğuz Kara’s academic journey began at Hacettepe University Faculty of Medicine, where he obtained his Medical Doctorate in 1995. Following his graduation, he pursued a Specialization in Internal Medicine at Çukurova University Faculty of Medicine, completing it in 2002. He continued with subspecialty training in Medical Oncology and earned the title of Yandal Uzmanı (subspecialist) in 2005. In the same institution, he began his academic career as an Assistant Professor in 2006, promoted to Associate Professor in 2007, and finally became a Full Professor in April 2013. His educational trajectory reflects a robust focus on oncology, reinforced by continuous professional development through certified international trainings, including multiple ICH-GCP certifications. These qualifications have positioned him as an expert in both academic and clinical aspects of oncology, with a deep understanding of patient care, clinical trial management, and research-based education.

Experience

Prof. Dr. İsmail Kara has dedicated his career to clinical medicine and oncology research at Çukurova University Faculty of Medicine. From 1996 to 2002, he served as a Research Assistant, followed by a Subspecialty Research Role until 2005. He became a Specialist Doctor in 2005, quickly advancing to Assistant Professor (2006–2007), then Associate Professor (2007–2013), and ultimately a Full Professor in 2013. Throughout his tenure, he has been instrumental in pioneering and leading clinical oncology practices and supervising numerous clinical trials as a Principal Investigator. Dr. Kara’s experience is enriched by collaborations with global pharmaceutical entities such as Pfizer, Bayer, MSD, and BMS, facilitating high-impact research on cancer therapies. His career reflects a synergy of clinical excellence, academic leadership, and research advancement, making him a key contributor to the field of medical oncology in Turkey.

Research Focus

Prof. Dr. İsmail Oğuz Kara’s research primarily focuses on clinical and translational oncology, particularly in melanoma, gastric cancer, hepatocellular carcinoma, and lung cancer. He is deeply involved in multicenter clinical trials examining second-line treatment efficacies, immunotherapy outcomes, and predictive biomarkers. He has investigated CEA/Albumin and CRP/Albumin ratios as novel prognostic tools in gastric cancer and led numerous GCP-certified clinical studies. His current work contributes significantly to identifying molecular predictors of treatment response and survival outcomes, aimed at personalizing oncology therapy. As part of the Turkish Oncology Group, he continuously collaborates with national and international experts, contributing to evidence-based practice guidelines. His future-oriented research aims to integrate cancer genetics and precision medicine into routine oncological care to enhance survival rates and quality of life for cancer patients.

Publication Top Notes

1.
📘 Title: Prognostic factors and outcomes of adjuvant and first-line metastatic treatments in melanoma: A Turkish Oncology Group study
👨‍⚕️ Authors: Majidova N., Arak H., Özalp F.R., Özgün A., Kostek O., Kara İ.O., et al.
📚 Journal: Scientific Reports
📅 Year: 2025
🔗 Summary: This study evaluated survival and prognostic variables in patients with melanoma receiving adjuvant and metastatic treatments. It emphasizes the clinical importance of baseline characteristics and genetic markers in improving melanoma management.

2.
📘 Title: Efficacy of Second-Line Treatments After Atezolizumab and Bevacizumab in Advanced Hepatocellular Carcinoma and Related Prognostic Factors
👨‍⚕️ Authors: Majidova N., Yaslikaya S.S., Mıldanoglu M.M., Yalçın S., Kostek O., Kara İ.O., et al.
📚 Journal: Turkish Journal of Gastroenterology
📅 Year: 2025
🔗 Summary: This multicenter research assessed outcomes of second-line therapies in hepatocellular carcinoma following Atezolizumab-Bevacizumab failure. It identified key prognostic variables affecting progression and survival.

3.
📘 Title: Can the Pathological Response in Patients with Locally Advanced Gastric Cancer Receiving Neoadjuvant Treatment Be Predicted by the CEA/Albumin and CRP/Albumin Ratios?
👨‍⚕️ Authors: Bayram E., Kidi M.M., Camadan Y.A., Kara I.Ö., Şahin B.S.
📚 Journal: Journal of Clinical Medicine
📅 Year: 2024
🔗 Summary: Investigates inflammatory and tumor marker-based ratios as predictive tools for neoadjuvant treatment response in gastric cancer, providing a potential non-invasive diagnostic method.

Conclusion

Prof. Dr. İsmail Oğuz Kara is highly suitable for the Research for Best Faculty Award based on his deep academic foundation, long-standing and active involvement in clinical trials, and recent peer-reviewed publications. His commitment to oncology research, particularly in Turkey, positions him as a significant contributor to the field. With slight improvements in international visibility and citation metrics, his impact could become even more far-reaching.

 

Galder Kortaberria | Polymeric materials | Best Review Paper Award

Prof. Dr. Galder Kortaberria | Polymeric materials | Best Review Paper Award

Professor, University of the Basque Country, Spain

Dr. Galder Kortaberria Altzerreka is a distinguished Professor of Chemical Engineering at the University of the Basque Country (UPV/EHU). Born on March 25, 1975, he has established himself as a leading expert in polymer science, particularly in the development and characterization of nanostructured thermosetting systems and biopolymers. His doctoral research focused on the simultaneous analysis of curing processes in thermoset matrices using infrared spectroscopy and impedance measurements. Over the years, Dr. Kortaberria has contributed significantly to the field through numerous publications and collaborations with international research institutions. His work has been instrumental in advancing the understanding of molecular dynamics, dielectric spectroscopy, and the development of sustainable polymeric materials. In recognition of his contributions, he was appointed as a Full Professor in April 2024.

Professional Profile

Education 

Dr. Kortaberria completed his undergraduate studies in Chemical Sciences at the University of the Basque Country (UPV/EHU) in June 1998. He pursued his doctoral studies at the same institution, earning his Ph.D. in Chemical Sciences in April 2004. His doctoral thesis, titled “Simultaneous Analysis by IR with Optical Fibers and Impedances of Curing Processes of Thermoset Matrices Modified with Thermoplastics,” was supervised by Dr. Iñaki Bixintxo Mondragón Egaña. This research laid the foundation for his future work in polymer science, focusing on the characterization and development of advanced polymeric materials. Throughout his academic journey, Dr. Kortaberria has demonstrated a strong commitment to research and education, contributing to the advancement of knowledge in his field.

Experience 

Dr. Kortaberria’s academic career began in 2002 as an interim lecturer at the Polytechnic University School (UPV). He held various teaching positions, including Associate Professor and Interim Lecturer, at different faculties within UPV/EHU. In June 2011, he was appointed as an Associate Professor at the School of Engineering of Gipuzkoa, where he continued to advance his research and teaching activities. His dedication and contributions led to his promotion to Full Professor in April 2024, as documented in the official state bulletin (BOE-A-2024-6876). Throughout his career, Dr. Kortaberria has been actively involved in research projects, focusing on polymer science, nanotechnology, and sustainable materials. His extensive experience in both academia and research has made him a respected figure in his field.

Research Focus 

Dr. Kortaberria’s research primarily centers on the development and characterization of advanced polymeric materials. His work involves the use of dielectric spectroscopy, molecular dynamics, and infrared spectroscopy to study the curing processes and properties of thermoset matrices modified with thermoplastics. He has a keen interest in biopolymers and nanocomposites, exploring their potential in creating sustainable and high-performance materials. His research has led to significant advancements in understanding the molecular behavior of polymers and the development of materials with tailored properties for various applications. Through collaborations with international research institutions, Dr. Kortaberria continues to contribute to the field of polymer science, pushing the boundaries of material innovation.

Publication Top Notes:

Thermoplastic polyurethane elastomers based on polycarbonate diols with different soft segment molecular weight and chemical structure: Mechanical and thermal properties
Polymer Engineering & Science, 2008
This study investigates the mechanical and thermal properties of thermoplastic polyurethane elastomers synthesized from polycarbonate diols with varying molecular weights and chemical structures. The research provides insights into how these variations affect the performance of the resulting materials.

Modification of montmorillonite with cationic surfactants. Thermal and chemical analysis including CEC determination
Applied Clay Science, 2008
The paper explores the modification of montmorillonite clay using cationic surfactants. It includes thermal and chemical analyses, as well as cation exchange capacity (CEC) determination, to understand the effects of modification on the clay’s properties.

Nanostructured thermosetting systems by modification with epoxidized styrene−butadiene star block copolymers. Effect of epoxidation degree
Macromolecules, 2006
This research focuses on the development of nanostructured thermosetting systems by incorporating epoxidized styrene-butadiene star block copolymers. The study examines how the degree of epoxidation influences the morphology and properties of the resulting materials.

Micro- or nanoseparated phases in thermoset blends of an epoxy resin and PEO–PPO–PEO triblock copolymer
Polymer, 2005
The article investigates the phase separation behavior in thermoset blends composed of epoxy resin and PEO–PPO–PEO triblock copolymers. The findings contribute to the understanding of micro- and nanostructure formation in polymer blends.

Structure–property relationships of thermoplastic polyurethane elastomers based on polycarbonate diols
Journal of Applied Polymer Science, 2008
This publication examines the relationship between the structure of thermoplastic polyurethane elastomers and their mechanical properties. The study provides valuable information for designing materials with specific performance characteristics.

 New poly(itaconate)s with bulky pendant groups as candidates for “all-polymer” dielectrics
Authors: Galder Kortaberria Altzerreka et al.
Journal: Reactive and Functional Polymers, Vol. 140, 2019, pp. 1–13.
Summary: The paper introduces novel poly(itaconate)s featuring bulky pendant groups, evaluating their suitability as all-polymer dielectrics, which are crucial for the development of flexible electronic devices.

 

Synthesis of new poly(itaconate)s containing nitrile groups as high dipolar moment entities for the development of dipolar glass polymers with increased dielectric constant. Thermal and dielectric characterization
Authors: Galder Kortaberria Altzerreka et al.
Journal: European Polymer Journal, Vol. 114, 2019, pp. 19–31.
Summary: This study focuses on synthesizing poly(itaconate)s with nitrile groups to enhance dielectric constants, contributing to the advancement of materials for high-performance electronic applications.

 

 Biocomposites with increased dielectric constant based on chitosan and nitrile-modified cellulose nanocrystals
Authors: Galder Kortaberria Altzerreka et al.
Journal: Carbohydrate Polymers, Vol. 199, 2018, pp. 20–30.
Summary: The research presents biocomposites combining chitosan and nitrile-modified cellulose nanocrystals, resulting in materials with enhanced dielectric properties suitable for sustainable electronic applications.

Polyitaconates: A New Family of “all-Polymer” Dielectrics
Authors: Galder Kortaberria Altzerreka et al.
Journal: ACS Applied Materials and Interfaces, Vol. 10, No. 44, 2018, pp. 38476–38492.
Summary: This paper introduces polyitaconates as a new class of all-polymer dielectrics, discussing their synthesis, properties, and potential applications in flexible electronics.

Improving the performance of chitosan in the synthesis and stabilization of gold nanoparticles
Authors: Galder Kortaberria Altzerreka et al.
Journal: European Polymer Journal, Vol. 68, 2015, pp. 419–431.
Summary: The study explores methods to enhance chitosan’s effectiveness in synthesizing and stabilizing gold nanoparticles, contributing to the development of biocompatible nanomaterials.

Teodor Atanackovic | Mathematical Physics | Best Researcher Award

Prof. Dr. Teodor Atanackovic | Mathematical Physics | Best Researcher Award

Professor emeritus, University of Novi Sad, Serbia

Prof. Dr. Teodor Atanackovic is a renowned Serbian mechanical engineer and applied mathematician affiliated with the University of Novi Sad and a full member of the Serbian Academy of Arts and Sciences. With a distinguished academic career spanning more than five decades, he is internationally recognized for his pioneering contributions to mechanics, fractional calculus, and the theory of elasticity. His work bridges the disciplines of engineering and mathematics, significantly advancing theoretical frameworks and practical applications in structural analysis, vibration theory, and continuum mechanics.

Professional Profile

Google Scholar

🎓 Education

Prof. Atanackovic began his academic journey in Sibac and Novi Sad, attending school from 1952 to 1964. He pursued a degree in Mechanical Engineering at the University of Novi Sad from 1964 to 1969. His graduate studies took him to the University of Kentucky, USA, where he earned a Master of Science in Engineering Mechanics in 1973, followed by a Ph.D. in Engineering Mechanics in 1974. These foundational years abroad profoundly influenced his future research trajectory and scientific collaborations.

💼 Professional Experience

Returning to Serbia after his doctorate, Prof. Atanackovic started as an Assistant at the Department of Mechanics, University of Novi Sad (1975–1978), quickly advancing to Assistant Professor (1978–1983), then Associate Professor (1983–1988), and finally Ordinary Professor from 1988 onward. In 2014, he was named Professor Emeritus. His leadership roles include Chairman of the Department of Applied Mechanics (2000–2006) and Vice-Rector for Science at the University of Novi Sad (2001–2002). From 2006 to 2010, he chaired the Department of Mechanics at the Mathematical Institute of the Serbian Academy. He has also participated in international research collaborations, notably with the Alexander von Humboldt Foundation and the US-Yugoslav NSF Project (1988–1991).

🔬 Research Interests

Prof. Atanackovic’s research encompasses mechanics of deformable bodies, fractional calculus, variational principles, elastic stability, and vibration theory. He is especially known for advancing the use of fractional derivatives in mechanical modeling, significantly influencing the understanding of nonlocal and memory-dependent materials. His theoretical innovations have found application in various domains, from civil engineering to biomechanics and materials science.

📚 Publications Top Notes

Fractional Calculus with Applications in Mechanics: Vibrations and Diffusion Processes
  • Authors: T.M. Atanackovic, S. Pilipovic, B. Stankovic, D. Zorica

  • Publisher: John Wiley & Sons

  • Year of Publication: 2014

  • Citations: 757

Summary:
This landmark monograph serves as a pioneering reference in applying fractional calculus to continuum mechanics. The authors offer a systematic treatment of fractional differential equations and their application to vibrations, diffusion, and viscoelasticity. The book is structured to guide readers from fundamental definitions and properties of fractional operators to real-world mechanical models involving memory effects and hereditary phenomena. It is particularly impactful in modeling non-local behavior in materials and anomalous transport processes, which classical integer-order models fail to accurately represent. Its interdisciplinary relevance spans materials science, control systems, and applied physics, and it remains a foundational text in this field.

Theory of Elasticity for Scientists and Engineers
  • Authors: T.M. Atanackovic, A. Guran

  • Publisher: Springer Science & Business Media

  • Year of Publication: 2000

  • Citations: 253

Summary:
This book is a thorough introduction to the classical theory of elasticity, crafted for both engineering students and researchers. It presents the theory with clarity and precision, beginning with basic kinematics of deformation and stress tensors, and progressing to the formulation and solution of boundary value problems in elasticity. Topics include 2D and 3D elasticity, anisotropic materials, and the mechanics of plates and shells. The book is valued for its balance between mathematical rigor and engineering application, making it a versatile text across mechanical, civil, and materials engineering programs.

Variational Problems with Fractional Derivatives: Euler–Lagrange Equations
  • Authors: T.M. Atanackovic, S. Konjik, S. Pilipovic

  • Journal: Journal of Physics A: Mathematical and Theoretical, Vol. 41, Issue 9

  • Year of Publication: 2008

  • Citations: 206

Summary:
In this influential paper, the authors derive the Euler–Lagrange equations for variational problems involving fractional derivatives, establishing a new theoretical framework for nonlocal variational mechanics. The work bridges fractional calculus with classical calculus of variations, allowing for a more general treatment of physical systems with long-term memory or spatial nonlocality. The study includes fractional functionals with both left and right Riemann–Liouville derivatives, offering significant generalizations of existing models. This paper has become a reference point for researchers working on fractional Lagrangian mechanics and the extension of Hamiltonian systems.

Stability Theory of Elastic Rods
  • Author: T.M. Atanackovic

  • Publisher: World Scientific Publishing

  • Year of Publication: 1997

  • Citations: 194

Summary:
This monograph provides a detailed examination of the stability behavior of elastic rods and beams under various loading and boundary conditions. It covers linear and nonlinear stability analysis, bifurcation theory, and post-buckling behavior. The author explores analytical and numerical methods, offering insights into phenomena such as Euler buckling, dynamic stability, and perturbation techniques. The book is widely cited by engineers and mathematicians working in structural mechanics, aerospace engineering, and biomechanics, particularly in the modeling of slender structures like columns, beams, and bio-filaments.

Variational Problems with Fractional Derivatives: Invariance Conditions and Noether’s Theorem
  • Authors: T.M. Atanackovic, S. Konjik, S. Pilipovic, S. Simic

  • Journal: Nonlinear Analysis: Theory, Methods & Applications, Vol. 71, Issues 5–6

  • Year of Publication: 2009

  • Citations: 163

Summary:
This paper extends the classical Noether’s theorem—which relates symmetries and conservation laws—to systems governed by fractional differential equations. By defining invariance conditions in the fractional context, the authors show that conserved quantities can be derived for systems exhibiting fractional dynamics. This work is instrumental for theoretical physics and applied mathematics, especially in modeling systems with energy dissipation and time-delay effects. It lays the foundation for developing symmetry-based conservation laws in complex mechanical systems and has wide implications in control theory and dynamical systems.

On a Numerical Scheme for Solving Differential Equations of Fractional Order
  • Authors: T.M. Atanackovic, B. Stankovic

  • Journal: Mechanics Research Communications, Vol. 35, Issue 7

  • Year of Publication: 2008

  • Citations: 156

Summary:
This article introduces an efficient numerical method for solving fractional differential equations (FDEs), which are central to modeling memory-driven and nonlocal phenomena. The authors propose a discretization approach tailored to the characteristics of FDEs, ensuring numerical stability and convergence. The study includes simulations and error analysis, making it a valuable resource for engineers and scientists implementing fractional models in computational environments. It addresses the long-standing challenge of simulating systems described by non-integer order equations and has found utility in material modeling, viscoelastic analysis, and control systems.

🔚 Conclusion

Prof. Dr. Teodor Atanackovic’s distinguished academic and research career has left an indelible mark on modern mechanics and applied mathematics. Through his pioneering efforts in fractional calculus and elasticity, he has opened new avenues for scientific exploration and practical problem-solving. His leadership, mentorship, and collaborative spirit continue to inspire generations of researchers worldwide. Prof. Atanackovic’s work is not only widely cited but also profoundly impactful across disciplines, making him a most deserving candidate for this prestigious award nomination.

Dayeong An | Biomedical Engineering | Best Researcher Award

Dr. Dayeong An | Biomedical Engineering | Best Researcher Award

Postdoctoral Fellow, Medical College of Wisconsin, United States

Dr. Dayeong An is a Postdoctoral Fellow in the Department of Radiology at Northwestern University. With a multidisciplinary academic background spanning Biomedical Engineering, computational sciences, and statistics, she specializes in applying machine learning and probabilistic modeling to multimodal biomedical data. Dr. An’s research bridges clinical needs and computational innovation, focusing on neurovascular outcomes, stroke mechanisms, translational AI, and advanced image processing. Her career spans multiple institutions including the Medical College of Wisconsin, Marquette University, and Minnesota State University. She has developed sophisticated deep learning frameworks for MRI and DSA image enhancement, and predictive models for stroke recurrence and cardiovascular risks. Dr. An has received numerous awards, including poster competition wins and international travel scholarships. Her publications reflect a strong focus on early cardiotoxicity detection using advanced imaging and machine learning techniques. She is a forward-thinking researcher committed to precision medicine and AI-driven clinical advancements.

Professional Profile

ORCID Profile

🎓 Education

Dr. Dayeong An holds a Ph.D. in Biomedical Engineering from the Medical College of Wisconsin, completed in February 2024. She earned her M.S. in Computational Sciences from Marquette University in July 2018 and an M.S. in Mathematics and Statistics from Minnesota State University, Mankato in July 2014. She also completed a B.S. in Mathematics with a minor in Economics at Minnesota State University in July 2012. Her education demonstrates a progressive trajectory toward integrating mathematical modeling, statistics, and machine learning for biomedical applications. This interdisciplinary foundation has enabled her to contribute significantly to biomedical image analysis, computational modeling, and clinical decision support systems. Through her academic journey, Dr. An developed expertise in machine learning, data integration, and quantitative image analysis, laying a strong groundwork for her current and future research in Biomedical Engineering and translational medicine.

💼 Experience

Dr. An is currently a Postdoctoral Researcher at Northwestern University (March 2024–Present), where she develops advanced machine learning frameworks for perfusion MRI and conducts stroke outcome analysis using national datasets. She previously served as a Research Assistant at the Medical College of Wisconsin (2019–2024), working on deep learning-based myocardial strain analysis and MR image enhancement. Earlier roles include Teaching and Research Assistant at Marquette University (2015–2020), where she supported courses in statistics, calculus, and computational labs. She also held adjunct teaching roles at Globe University and South Central College in Minnesota and taught international students at Minnesota State University. Across these roles, she combined research and teaching in quantitative analysis, medical imaging, and neural networks, culminating in a robust professional background in both academia and applied biomedical research.

🏆 Awards and Honors

Dr. An has received several prestigious awards recognizing her excellence in research and academic achievement. In 2023, she was awarded travel grants by the Graduate Student Association and Kayoko Ishizuka Award from the Medical College of Wisconsin. She also received research travel support from Marquette University and won poster competitions for her innovative work on myocardial strain analysis using deep learning. In 2022, she was a winner at the Annual Research Day at the Medical College of Wisconsin for her work on myocardial displacement fields using image-to-image translation networks. Internationally, she earned scholarships for the Global Cardio Oncology Summit (Madrid, 2023) and the ISMRM Annual Meeting (Toronto, 2023). Her early recognitions include the Grad Cohort Workshop for Women scholarship (2018). These accolades reflect her impactful contributions to the biomedical engineering field, especially in AI applications for clinical imaging and precision medicine.

🔍 Research Focus

Dr. An’s research centers on leveraging machine learning and probabilistic modeling to interpret and integrate multimodal biomedical data. Her work focuses on neurovascular outcome prediction, stroke mechanism classification, and cardiovascular risk assessment using perfusion MRI, 4D flow imaging, and computational fluid dynamics. She actively develops transformer-based and GAN-enhanced models to refine imaging quality and interpretability, particularly in digital subtraction angiography (DSA) and cardiac MRI. A major thrust of her research lies in creating translational AI tools that enable precision medicine, supported by real-world clinical datasets like the NVQI-QOD. Dr. An also contributes to meta-analyses of stroke mechanisms and predictive modeling for recurrent ischemic events. Her cross-disciplinary approach combines statistical learning, biomedical engineering, and clinical collaboration to enhance patient-specific diagnostics and treatment planning. She is particularly driven by the potential of AI to bridge gaps between medical imaging, big data, and individualized care.

Publication Top Notes

1. Radiation-Induced Cardiotoxicity in Hypertensive Salt-Sensitive Rats: A Feasibility Study

📅 Life, 2025-05-27
🔗 DOI: 10.3390/life15060862
Authors: Dayeong An, Alison Kriegel, Suresh Kumar, Heather Himburg, Brian Fish, Slade Klawikowski, Daniel Rowe, Marek Lenarczyk, John Baker, El-Sayed Ibrahim
Summary: This study explores the feasibility of detecting early radiation-induced cardiotoxicity in hypertensive, salt-sensitive rats. The research integrates cardiac MRI with biological data to identify early imaging biomarkers, demonstrating the viability of using preclinical genetic models for cardiotoxicity prediction.

2. Elucidating Early Radiation-Induced Cardiotoxicity Markers in Preclinical Genetic Models Through Advanced Machine Learning and Cardiac MRI

📅 Journal of Imaging, 2024-12-01
🔗 DOI: 10.3390/jimaging10120308
Authors: Dayeong An, El-Sayed Ibrahim
Summary: This paper presents a novel machine learning framework integrating cardiac MRI to identify early markers of radiation-induced cardiotoxicity in preclinical models. The study highlights the promise of AI in enhancing the diagnostic sensitivity of cardiac imaging, offering a path forward for precision cardiology.

Conclusion

Dr. Dayeong An is a strong candidate for a Best Researcher Award, especially in the fields of AI-driven biomedical imaging, precision medicine, and translational neuroscience. Her innovative contributions, interdisciplinary expertise, and recognition through multiple awards distinguish her as a rising star in clinical AI research. With more publications and leadership in funded projects, she is poised to become a leading figure in the field.

Guanglei Wu | Robotics | Best Researcher Award

Assoc. Prof. Dr. Guanglei Wu | Robotics | Best Researcher Award

Dalian University of Technology, China

Dr. Guanglei Wu is an Associate Professor at the School of Mechanical Engineering, Dalian University of Technology (DUT), China, since July 2016. He specializes in robotic technologies, focusing on robot design and their industrial applications. His research has been published in esteemed journals such as Mechanism and Machine Theory, ASME Journal of Mechanical Design, and IEEE ICRA and IROS conferences. Dr. Wu has contributed significantly to the field, earning international recognition for his work. He has authored two books and holds nine Chinese patents. His academic journey includes a Ph.D. in Robotics from Aalborg University, Denmark, in 2013, followed by postdoctoral research at the same institution from 2014 to 2016. He has been a visiting scholar at institutions like McGill University, University of Nantes, and Aarhus University. Dr. Wu has delivered over 10 keynote speeches at international conferences and serves as a referee for over 50 journals and conferences in the fields of mechanisms and robotics.

Professional Profile

Education

Dr. Guanglei Wu’s academic journey began with a Bachelor’s degree in Mechanical Design, Manufacture & Automation from Yantai University, China, in 2007. He then pursued a Master’s degree in Mechanical Manufacture and Automation, specializing in Parallel Robotics, from Northeastern University, China, graduating in 2009. Furthering his expertise, he earned a Ph.D. in Robotics from the Department of Mechanical and Manufacturing Engineering at Aalborg University, Denmark, in 2013. During his doctoral studies, he participated in an exchange program at the Institut de Recherche en Communications et Cybernétique de Nantes (IRCCyN), University of Nantes, France, in 2012. His commitment to continuous learning led him to undertake Breakthrough Leadership Training, lectured by Harvard Business Publishing, organized by Innovation Fund Denmark, from 2015 to 2016. This diverse educational background has equipped Dr. Wu with a comprehensive understanding of robotics and mechanical engineering.

Experience

Dr. Guanglei Wu’s professional experience spans academia, research, and industry. Since July 2016, he has been serving as an Associate Professor at the School of Mechanical Engineering, Dalian University of Technology (DUT), China. Between 2014 and 2016, he worked as an Industrial Postdoctoral Researcher at Aalborg University, Denmark, following his Ph.D. In 2012, he was a visiting scholar at the Institut de Recherche en Communications et Cybernétique de Nantes (IRCCyN), University of Nantes, France. Dr. Wu has also held positions at McGill University, Canada, and Aarhus University, Denmark. In addition to his academic roles, he has been involved in industry as a part-time R&D Engineer at Alida (Changzhou) Intelligent Technology Co., Ltd., China, since 2019, and as a part-time Researcher at the Jiangsu Institute of Science affiliated with DUT, Changzhou, China, since 2018. His diverse experiences have contributed to his expertise in robotics and mechanical engineering.

Awards and Honors

Dr. Guanglei Wu has received numerous accolades throughout his career, reflecting his significant contributions to the field of robotics. In 2022, he was honored as the AIS Expert of the Year by the international academic organization AiScholar. He was a recipient of the Visiting Researcher Scholarship funded by the China Scholarship Council in 2020. In 2019, he received the TC Service Award from the IFToMM Technical Committee for Linkages and Mechanical Controls. Dr. Wu was selected for the Star Ocean Thousand Youth Talents Program at DUT in 2018. He has also been recognized with the Nan Tai Lake Talent Program of Huzhou City in 2019 and the Liaoning Provincial 7th International Academic Exchange Program for Youth Scholars in 2019. His paper on parallel Schöflies-motion robots earned the 2017 Liaoning Academic Award (third class). Additionally, he received the Best Conference Paper Award at IFToMM Asian MMS 2016 & CCMMS 2016 for his work on high-acceleration robots.

Research Focus

Dr. Guanglei Wu’s research focuses on the design, analysis, and application of robotic systems, particularly in industrial settings. His interests encompass the conceptual design and performance evaluation of mechanisms, optimal robot design, and robot control and vision. He delves into the kinematics and elastostatics of robots, exploring motion/force transmission, sensitivity analysis, accuracy analysis, and error compensation design. His work also includes the study of robot geometry and dynamics, emphasizing dynamic stability. Dr. Wu has a keen interest in parallel manipulators, industrial robots, and their applications, as well as flexible robots, high-speed pick-and-place robots, lightweight robotic arms, and compliant actuation. His research aims to advance the field of robotics by developing innovative solutions that enhance the efficiency and effectiveness of robotic systems in various industrial applications.

Publication Top Notes

  1. Dynamic modeling and design optimization of a 3-DOF spherical parallel manipulator
    Journal: Robotics and Autonomous Systems 62 (10), 1377-1386 (2014)
    Summary: This paper presents a dynamic model and design optimization for a 3-DOF spherical parallel manipulator, aiming to improve its performance in robotic applications.

  2. Kinematic sensitivity, parameter identification and calibration of a non-fully symmetric parallel Delta robot
    Journal: Mechanism and Machine Theory 161, 104311 (2021)
    Summary: The study investigates the kinematic sensitivity, parameter identification, and calibration techniques for a non-fully symmetric parallel Delta robot.

  3. Architecture optimization of a parallel Schönflies-motion robot for pick-and-place applications in a predefined workspace
    Authors: G. Wu, S. Bai, P. Hjørnet
    Journal: Mechanism and Machine Theory 106, 148–165 (2016)
    Citations: 68
    Summary: This paper proposes an architecture optimization approach for a Schönflies-motion parallel robot. The aim is to enhance operational effectiveness in constrained workspaces typical in industrial pick-and-place tasks.

  4. Design and kinematic analysis of a 3-RRR spherical parallel manipulator reconfigured with four–bar linkages
    Authors: G. Wu, S. Bai
    Journal: Robotics and Computer-Integrated Manufacturing 56, 55–65 (2019)
    Citations: 58
    Summary: A novel reconfigurable 3-RRR spherical manipulator is proposed using four-bar mechanisms. Kinematic analysis demonstrates increased flexibility and application potential.

  5. Error Modeling and Experimental Validation of a Planar 3-PPR Parallel Manipulator With Joint Clearances
    Authors: G. Wu, S. Bai, J.A. Kepler, S. Caro
    Journal: Journal of Mechanisms and Robotics 4(4), 041008 (2012)
    Citations: 56
    Summary: This study presents error modeling of planar parallel manipulators considering joint clearances and validates the model experimentally.

  6. Mobile platform center shift in spherical parallel manipulators with flexible limbs
    Authors: G. Wu, S. Bai, J.A. Kepler
    Journal: Mechanism and Machine Theory 75, 12–26 (2014)
    Citations: 53
    Summary: Investigates how flexible limbs in spherical parallel manipulators can cause platform center shifts, affecting accuracy.

  7. A Translational 3-DOF Parallel Mechanism With Partial Motion Decoupling and Analytic Direct Kinematics
    Authors: H.S. Shen, D. Chablat, B. Zeng, J. Li, G. Wu, T.L. Yang
    Journal: Journal of Mechanisms and Robotics 12(2), 021112 (2020)
    Citations: 48
    Summary: A novel 3-DOF translational parallel mechanism is introduced with partially decoupled motion and direct kinematic solutions.

Conclusion

Dr. Guanglei Wu demonstrates outstanding technical expertise, a strong publication and citation record, global academic integration, and a clear history of impactful innovation in the field of robotics and mechanisms. His profile aligns very well with the criteria typically expected for a Best Researcher Award, especially in engineering and applied sciences.

Hongchao Qiao | Laser Machining Technology | Best Researcher Award

Prof. Hongchao Qiao | Laser Machining Technology | Best Researcher Award 

Professor, Shenyang Institute of Automation, China

Prof. Hongchao Qiao is a distinguished expert in laser processing technologies and currently serves as a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences 🇨🇳. He received his B.Eng. and M.Eng. degrees from Dalian University of Technology 🎓. Since joining SIA, his work has focused on water jet guided laser (WJGL) and laser shock peening technologies. With over 100 publications in SCI-indexed journals and 24 invention patents, he has contributed significantly to the field of precision machining. Prof. Qiao is a member of the Youth Innovation Promotion Association of the CAS and is recognized under the “Hundred, Thousand, Ten Thousand Talents Program” in Liaoning Province 🏅. His pioneering studies on composite material removal mechanisms and real-time efficiency evaluation using spectroscopy are highly impactful. He continues to lead innovative projects while mentoring young researchers and collaborating on industrial applications across China.

Professional Profile

📘 Education 

Prof. Hongchao Qiao pursued both his Bachelor of Engineering and Master of Engineering Science degrees at Dalian University of Technology 🏫, a premier institution in China. His academic training laid a strong foundation in mechanical engineering and precision manufacturing, particularly focusing on laser-material interactions and advanced machining technologies. During his academic career, Prof. Qiao demonstrated a keen interest in interdisciplinary learning, integrating knowledge from fluid mechanics, optics, and materials science. This academic pathway directly influenced his post-graduate research direction, especially in the realm of laser-based surface and structural modification techniques. His education was marked by early exposure to research practices, leading to contributions in scientific articles even before his professional career formally began. The rigorous academic environment and mentorship at Dalian University provided Prof. Qiao with both technical depth and a spirit of innovation, which continue to guide his contributions to research and industry today.

🛠️ Experience 

After completing his postgraduate studies, Prof. Hongchao Qiao joined the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, where he embarked on groundbreaking research in laser processing technologies 🔬. Over the years, he has played a pivotal role in over 27 research projects, including 21 completed and 6 ongoing studies. He has led investigations into water jet guided laser machining, laser shock peening, and hybrid thermal-mechanical processing techniques. His work involves both theoretical and experimental components, contributing to cutting-edge innovations in advanced manufacturing 🏭. Prof. Qiao also collaborates with industries, having successfully contributed to 11 consultancy/industry projects. His practical knowledge extends to system development, laser-fluid coupling, and spectroscopic analysis. Beyond research, he actively mentors graduate students and junior researchers, and engages in scientific collaboration across institutions. His experience spans academia, innovation, and applied engineering, making him a key figure in China’s laser-based smart manufacturing ecosystem.

🔬 Research Focus 

Prof. Qiao’s research is centered on laser processing technologies, with a special focus on Water Jet Guided Laser (WJGL) machining and Laser Shock Peening (LSP) 💡. He proposed the double coaxial gas-assisted WJGL machining method, significantly improving the processing of difficult-to-cut materials such as carbon/silicon carbide fiber composites, superalloys, and silicon carbide 🔧. His research dives deep into material removal mechanisms, integrating effects of laser thermal input, forced water jet cooling, detonation wave shear, and plasma formation 🌊🔥. He is known for his discovery of plasma-induced detonation during WJGL and developed a real-time spectroscopic method for evaluating material removal efficiency. Prof. Qiao’s work combines mechanics, optics, and fluid dynamics, leading to high-precision, damage-minimized material processing. These innovations have not only advanced theoretical understanding but also have substantial industrial relevance. His future focus includes further enhancement of laser-fluid interaction models and development of intelligent machining systems.

Publication Top Notes 

📄  A spectroscopic real-time characterization method of material removal efficiency in water jet guided laser machining technology

Authors: Zhihe Cao, Hongchao Qiao, Shunshan Wang, Jibin Zhao
Journal: Optics and Laser Technology
Citations: 0
Summary:
This study introduces a spectroscopic real-time monitoring technique to evaluate material removal efficiency during water jet guided laser (WJGL) machining. By analyzing the emission spectra generated in real-time, the method allows dynamic assessment of material ablation quality and machining performance. This innovation offers improved control and precision in laser processing of hard-to-machine materials, enhancing process automation and optimization.

📄  Numerical and experimental study on the stability of water-beam fiber in double coaxial gas-assisted water jet guided laser machining

Authors: Yuting Zhang, Hongchao Qiao, Jibin Zhao, Jinsheng Liang, Qing Zhang
Journal: Optics and Laser Technology
Citations: 0
Summary:
The paper presents both numerical simulations and experiments exploring the stability of the laser beam in water jet guided laser machining using a double coaxial gas-assist mechanism. The study analyzes how gas flow configurations affect the water column and laser delivery, contributing to enhanced machining precision and process reliability in complex industrial applications.

📄  Laser Shock Processing Mechanism and Its Applications in Aeronautical Components

Authors: Xiaodie Cao, Yinghua Li, Yuqi Yang, Hongchao Qiao, Yongjie Zhao
Type: Review Article
Citations: 0
Summary:
This review elaborates on the mechanisms of laser shock processing (LSP) and its practical applications in aeronautical components. It covers theoretical foundations, process parameters, residual stress generation, and microstructure enhancement. The study highlights LSP’s effectiveness in improving fatigue life and resistance to stress corrosion cracking in aerospace alloys.

📄 Numerical and experimental study on water jet-guided laser machining of closed-loop groove

Authors: Jinsheng Liang, Hongchao Qiao, Jibin Zhao, Shunshan Wang, Yuting Zhang
Journal: International Journal of Advanced Manufacturing Technology
Citations: 0
Summary:
This paper investigates the machining of closed-loop grooves using water jet-guided laser technology. By combining simulation models and experimental data, it analyzes groove shape, surface quality, and material removal mechanisms. Results demonstrate that the WJGL method offers high precision and reduced thermal damage for advanced manufacturing of intricate features.

📄  Simulation and experimental study on double staggered-axis air-assisted water jet-guided laser film cooling hole machining

Authors: Jinsheng Liang, Hongchao Qiao, Jibin Zhao, Yuting Zhang, Qing Zhang
Journal: Optics and Laser Technology
Citations: 1
Summary:
The study develops a novel configuration of air-assisted WJGL machining using double staggered-axis for film cooling hole creation, crucial in turbine blades. Simulations coupled with experiments show improved hole quality and directional control, providing a pathway for more efficient cooling systems in aeroengine components.

🔬 Conclusion

Professor Hongchao Qiao exemplifies excellence in scientific innovation, with pioneering contributions in laser machining technologies. His inventive method such as the double coaxial gas-assisted water jet guided laser technique—have significantly advanced material processing of complex composites. With over 100 research publications, 24 patents, and numerous completed projects, his work has made a lasting impact on both academia and industry. Recognized through prestigious programs like the “Hundred, Thousand, Ten Thousand Talents Program” and as a member of the Youth Innovation Promotion Association of CAS, Professor Qiao continues to lead with vision and dedication. His nomination for the Best Researcher Award is a well-deserved recognition of his sustained commitment to cutting-edge research, impactful innovations, and academic leadership.

Yafei Luo | Drug Delivery | Best Researcher Award

Dr. Yafei Luo | Drug Delivery | Best Researcher Award

Lab Master, Chongqing University of Arts and Sciences, China

Yafei Luo, born on October 4, 1990, in Leshan, Sichuan Province, China, is a dedicated researcher in Physical Chemistry. Holding a Master’s degree from Southwest University under the guidance of Prof. Wei Shen, he has been active in theoretical and computational chemistry since 2013. Luo’s early work involved designing phosphorescent Pt(II) and Ir(III) complexes with a focus on photodeactivation mechanisms. He expanded his research into catalysis and drug design, investigating cycloisomerization, semihydrogenation, and coupling reactions, using tools like Gaussian, VASP, ADF, and Discovery Studio. His computational methods include DFT, AIMD simulations, MECP calculations, and molecular docking. Luo’s work is well-recognized in peer-reviewed journals like Phys. Chem. Chem. Phys., J. Org. Chem., and J. Phys. Chem. C. With strong interdisciplinary expertise, he contributes significantly to organometallic photophysics, catalysis, and CADD. His academic journey reflects passion, precision, and progress in chemical research. 📘🔬💡

 Professional Profile

🎓 Education

Yafei Luo began his academic path at Leshan Normal University, where he earned his Bachelor’s degree in Chemistry from 2009 to 2013. His undergraduate training laid the foundation in core physical and chemical sciences. In 2013, he commenced his Master’s studies at the College of Chemistry and Chemical Engineering, Southwest University in Chongqing, China. Guided by Professor Wei Shen, his graduate research focused on theoretical investigations of phosphorescent platinum(II) and iridium(III) complexes. His thesis, completed in June 2016, was titled “Reasonable Design of High-Efficiency Phosphorescent Platinum(II), Iridium(III) Complexes and Theoretical Investigation on the Photo-Deactivation Mechanism.” Throughout his education, Luo gained expertise in advanced quantum chemistry techniques, including transition state analysis, radiative decay modeling, and excited-state deactivation pathways. These studies prepared him for in-depth research in photochemistry and catalysis, equipping him with powerful computational tools like Gaussian, ADF, and Materials Studio. His academic background bridges theory and application.

💼 Experience 

Since 2013, Yafei Luo has engaged in progressive research across physical chemistry, catalysis, and computational drug design. His early work emphasized the photostability and emission control of Pt(II) and Ir(III) phosphorescent complexes. He developed mechanisms to suppress nonradiative decay using ligand design and geometric control strategies. From 2016 onwards, he explored catalytic mechanisms for ω-alkynylfuran cycloisomerisation, acetylene semihydrogenation, and Suzuki coupling using nanoclusters and single-atom catalysts. His experience spans advanced modeling software such as Gaussian, VASP, ADF, SIESTA, and Discovery Studio, coupled with MD simulations and 3D-QSAR analysis. Additionally, Luo has actively contributed to virtual screening and structure–activity relationship studies in CADD, focusing on efficient drug delivery systems. His computational workflow includes transition state search, MECP computation, and surface interaction modeling. With interdisciplinary expertise, Luo has become a key contributor to both fundamental theory and practical chemical applications.

🏅 Awards and Honors

While detailed honors were not explicitly listed, Yafei Luo’s consistent publication in high-impact journals like J. Phys. Chem. C, ChemPhysChem, Phys. Chem. Chem. Phys., and Org. Electron. indicates peer recognition and scholarly impact. His research has been published alongside prominent authors and cited for its innovation in theoretical design and catalysis mechanisms. Luo’s selection for collaborative, multidisciplinary projects, including studies on nanocluster catalysis and drug design, reflects the scientific community’s trust in his expertise. His work has contributed to advancements in OLEDs, green catalysis, and structure–activity relationships. The complexity and originality of his computational designs also suggest competitive academic grants and project participation. His role in clarifying photodeactivation mechanisms and enhancing catalyst stability indicates a reputation for precision and innovation in theoretical chemistry. These academic achievements position him as a rising scholar in computational physical chemistry. 🏆

🔬 Research Focus 

Yafei Luo’s research spans theoretical photochemistry, catalysis, and computer-aided drug design. His core expertise lies in the design and photostability of phosphorescent Pt(II) and Ir(III) complexes, targeting emission tuning and suppression of nonradiative decay. Luo investigates photodeactivation pathways through quantum chemistry, using MECP searches, Huang-Rhys factor calculations, and AIMD simulations. His work has expanded into catalytic mechanisms of organic transformations, such as ω-alkynylfuran cycloisomerisation, semihydrogenation of alkynes, and Suzuki coupling reactions. These studies often involve metal clusters, single-atom catalysts, and oxide supports. Since 2016, he has contributed to computer-aided drug discovery (CADD), performing virtual screening, 3D-QSAR modeling, and molecular dynamics simulations to evaluate drug–target interactions. His computational skills include Gaussian, VASP, ADF, Materials Studio, and Amber, making his research deeply interdisciplinary. Luo aims to bridge materials chemistry, catalysis, and pharmaceutical applications through theoretical insights.

Publication Top Notes 

 Redox-neutral depolymerization of lignin-derived aryl ethers catalyzed by Rh(III)-complexes: a mechanistic insight

  • Authors: Zhang Yan, Luo Yafei, Hu Changwei, Tang Dianyong, Su Zhishan
    Journal: Physical Chemistry Chemical Physics, 2024
    Citation Format:
    Zhang, Y., Luo, Y., Hu, C., Tang, D., & Su, Z. (2024). Redox-neutral depolymerization of lignin-derived aryl ethers catalyzed by Rh(III)-complexes: a mechanistic insight. Physical Chemistry Chemical Physics.
  • 🔍 Summary:
    This paper explores the catalytic mechanism of Rh(III)-complexes in the redox-neutral cleavage of lignin-derived aryl ether bonds. Through computational and possibly experimental investigations, the authors reveal the energy profiles, intermediates, and transition states that drive this green depolymerization process, potentially advancing sustainable biomass conversion strategies.

 Influence of coordinate character on the photo-deactivate process for Pt(II) complex: A theoretical investigation

  • Authors: Luo Yafei, Tang Lingkai, Zeng Wanrui, Hu Jianping, Tang Dianyong
    Journal: Optical Materials, 2024
    Citation Format:
    Luo, Y., Tang, L., Zeng, W., Hu, J., & Tang, D. (2024). Influence of coordinate character on the photo-deactivate process for Pt(II) complex: A theoretical investigation. Optical Materials.
  • 🔍 Summary:
    The study offers theoretical insights into how the coordination environment of Pt(II) complexes influences their photo-deactivation pathways. By analyzing excited-state dynamics and electronic configurations, the work informs the design of photostable metal complexes for applications in optoelectronics and sensing.

Alcohol solvent effect on the self-assembly behaviors of lignin oligomers

  • Authors: Ma Ya, Jiang Zhicheng, Luo Yafei, Luo Yiping, Shi Bi
    Journal: Green Energy and Environment, 2024 (Open Access)
    Citation Format:
    Ma, Y., Jiang, Z., Luo, Y., Luo, Y., & Shi, B. (2024). Alcohol solvent effect on the self-assembly behaviors of lignin oligomers. Green Energy and Environment.
  • 🔍 Summary:
    This open-access article investigates how different alcohol solvents impact the self-assembly mechanisms of lignin oligomers. The findings suggest that solvent polarity and hydrogen bonding critically influence aggregation behavior, offering implications for lignin valorization and the design of functional biobased materials.

🔬 Conclusion

Yafei Luo is a highly accomplished researcher specializing in physical chemistry with a focus on theoretical investigations of phosphorescent metal complexes, catalytic mechanisms, and drug design. With a solid academic background and extensive experience in computational modeling, he has made significant contributions to understanding photodeactivation pathways, catalytic efficiencies, and molecular interactions. His proficiency in tools like Gaussian, Materials Studio, VASP, and Discovery Studio has empowered his exploration of complex systems across photophysics, catalysis, and pharmaceuticals. Through 18+ peer-reviewed publications, Yafei has demonstrated scholarly excellence and continues to influence the field with innovative, multidisciplinary research. 🌟📘⚗️