Alessandro Ceccarelli | Prostheses and Exoskeletons | Best Researcher Award

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Mr. Alessandro Ceccarelli | Prostheses and Exoskeletons | Best Researcher Award

Campus Bio-Medico University of Rome, Italy

Dr. Alessandro Ceccarelli is an Italian biomedical engineer specializing in the design and optimization of low-cost hand prostheses and exoskeletons. His research focuses on developing kinematic synthesis methods to replicate complex hand movements through simplified mechanical structures, utilizing additive manufacturing for cost-effective and customizable solutions. Currently a PhD candidate at the University Campus Bio-Medico of Rome, he is part of the CREO Lab under the supervision of Eng. Nevio Luigi Tagliamonte and Prof. Loredana Zollo. Dr. Ceccarelli has also been a visiting PhD student at ETH Zurich’s Sensory-Motor Systems Lab, working with Prof. Dr. Dr. h.c. Robert Riener. He has co-authored several publications in the field and has been actively involved in teaching and mentoring students in biomedical and industrial engineering.

Professional Profile

Education

Dr. Ceccarelli’s educational journey began at Liceo Scientifico G. Peano in Monterotondo, Rome, where he earned his Scientific High School Qualification with top honors in 2014. He then pursued a Bachelor’s degree in Medical Engineering at the University of Rome Tor Vergata, graduating in 2018. Continuing his studies, he completed a Master’s degree in Biomedical Engineering with a focus on Biorobotics and Bionics at the University Campus Bio-Medico of Rome in 2021, achieving the highest distinction. His thesis centered on the kinematic synthesis of a low-cost long finger exoskeleton for assisting activities of daily living. In November 2021, he commenced his PhD in Science and Engineering for Humans and the Environment at the same institution, where he currently serves as a research assistant. His academic path reflects a strong commitment to advancing the field of biomedical engineering, particularly in prosthetics and exoskeletons.

Work Experience

Dr. Ceccarelli has a diverse range of academic and research experience. Since October 2021, he has been a teaching assistant at the University Campus Bio-Medico of Rome, instructing courses in Applied Mechanics, Machine and Biomechanical System Construction, and Machines and Biomechanical Systems Mechanics. He has also co-supervised six Bachelor’s theses and five Master’s theses in Industrial and Biomedical Engineering, respectively, and mentored two internship students. In March 2024, he began lecturing at the Istituto Tecnico Superiore Meccatronico del Lazio in Frosinone, leading courses in Mechanical Design Fundamentals and Computer-Aided Engineering – CAD. Additionally, Dr. Ceccarelli has been involved in research projects such as 3D-AID and 3Daid++, focusing on the development of low-cost hand prostheses and exoskeletons. His work emphasizes the integration of kinematic optimization and additive manufacturing to enhance the functionality and accessibility of assistive devices.

Awards and Honors

Dr. Ceccarelli’s innovative contributions to biomedical engineering have been recognized through various accolades. Notably, in June 2021, he and his team secured first place in the IEEE RAS SofTech-Rehab School competition. Their project, a tendon-actuated exoskeleton for scoliosis rehabilitation, showcased advancements in soft robotics for therapeutic applications. This achievement underscores his commitment to developing assistive technologies that address complex medical challenges. His work continues to inspire and contribute to the evolving field of rehabilitation engineering.

Research Focus

Dr. Ceccarelli’s research is centered on the design and development of low-cost, customizable hand prostheses and exoskeletons aimed at assisting individuals in activities of daily living. He employs kinematic optimization techniques to replicate complex hand movements through simplified mechanical structures, facilitating the creation of functional assistive devices. A significant aspect of his work involves the integration of additive manufacturing technologies, such as 3D printing, to reduce production costs and enhance the customization of prosthetic devices. By focusing on both adult and pediatric populations, his research addresses a critical need for accessible and adaptable assistive technologies. Collaborating with institutions like the Istituto Eugenio Medea and Ospedale Pediatrico Bambino Gesù, Dr. Ceccarelli aims to bridge the gap between advanced engineering solutions and practical, real-world applications in healthcare.

Publication Top Notes

1. Analysis of Hand Intra-Finger Couplings During Flexion Movements in the Free Space

  • Authors: Martina Lapresa, Alessandro Ceccarelli, Fabrizio Taffoni, Nevio Luigi Tagliamonte, Loredana Zollo, Francesca Cordella

  • Published in: IEEE Access, 2023

  • Summary: This study investigates the intrinsic coupling mechanisms within the human hand during flexion movements. Understanding these couplings is crucial for designing prosthetic devices that accurately replicate natural hand movements. The research provides insights into the biomechanical constraints that must be considered in prosthetic design.

2. Mechanical Design of a Bioinspired and Customized Prosthetic Hand Finger Based on Six-Bar Linkage

  • Authors: Alessandro Ceccarelli, L. Nini, Fabrizio Taffoni, Loredana Zollo, Nevio Luigi Tagliamonte

  • Presented at: 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

  • Summary: This paper presents the design of a prosthetic hand finger utilizing a six-bar linkage mechanism. The bioinspired approach aims to enhance the dexterity and functionality of prosthetic devices, providing users with more natural movement capabilities.ResearchGate

3.The Atlas of 1-DoF Finger Prostheses and Orthoses Based on Six-Bar Linkages

  • Authors: Alessandro Ceccarelli, Fabrizio Taffoni, Loredana Zollo, Nevio Luigi Tagliamonte

  • Journal: Mechanism and Machine Theory, Vol. 211, Article 106046, 2025

  • Summary: This work provides a comprehensive catalog (atlas) of single-degree-of-freedom prosthetic and orthotic finger designs utilizing six-bar linkages. The study aims to guide researchers and designers in selecting topologies based on application-specific motion and space constraints, with a focus on affordability and mechanical simplicity.

Conclusion

Alessandro Ceccarelli is a highly promising and capable researcher, with a strong foundation in biomedical and mechanical engineering, a clear focus on socially impactful innovation, and demonstrated expertise across technical, academic, and collaborative dimensions. While there is room to expand his international and publication footprint, his track record and trajectory absolutely justify serious consideration for a Best Researcher Award, especially in the field of assistive technologies, rehabilitation robotics, and biomedical device design.

Hui Wang | Molecular Fluorescence Probes | Best Researcher Award

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Assoc. Prof. Dr. Hui Wang | Molecular Fluorescence Probes | Best Researcher Award

Associate professor, doctoral supervisor, Shandong Normal University, China

Dr. Wang Hui is an Associate Professor and doctoral supervisor at Shandong Normal University, specializing in molecular fluorescence probes for real-time in vivo imaging. Her research focuses on developing probes for detecting reactive oxygen species (ROS) and proteins in live organisms, aiming to enhance early diagnosis and understanding of diseases such as atherosclerosis, rheumatoid arthritis, and idiopathic pulmonary fibrosis. Dr. Wang has authored over 30 peer-reviewed articles in high-impact journals like Angewandte Chemie International Edition and Analytical Chemistry. She has also filed multiple patents related to her probe technologies. Her work has been recognized by the National Natural Science Foundation of China and the Shandong Provincial Natural Science Foundation. Dr. Wang is a member of the Chinese Chemical Society and collaborates with the Institute of Oceanology, Chinese Academy of Sciences, on projects related to marine pollution.

Profile

Orcid

Education

Dr. Wang Hui completed her undergraduate studies in Physics at Shandong Normal University from 2013 to 2017. She then pursued a Ph.D. in Chemistry at Nankai University, graduating in 2022. Her doctoral research focused on the development of molecular fluorescence probes for bioimaging applications. Throughout her academic journey, Dr. Wang has been involved in various research projects, including those funded by the National Natural Science Foundation of China and the Shandong Provincial Natural Science Foundation. Her educational background has provided her with a strong foundation in both theoretical and practical aspects of molecular chemistry and bioimaging techniques.

Experience

Dr. Wang Hui has extensive experience in the field of molecular fluorescence probes and bioimaging. Since joining Shandong Normal University, she has led several research projects aimed at developing innovative probes for detecting ROS and proteins in live organisms. Her work has led to the creation of novel probes such as the C-HBrO-GGT and GolgiROS, which have been instrumental in studying diseases like atherosclerosis and hypertension. Dr. Wang has also been involved in collaborations with institutions like the Institute of Oceanology, Chinese Academy of Sciences, focusing on environmental applications of fluorescence probes. Her contributions have been recognized through numerous publications in high-impact journals and several patents.

Research Focus

Dr. Wang Hui’s research focuses on the development of molecular fluorescence probes for specific imaging of biomolecules. By combining these probes with fluorescence imaging technology, her work aims to achieve early warning and diagnosis of major diseases such as atherosclerosis, rheumatoid arthritis, and idiopathic pulmonary fibrosis. Her innovative approaches include the development of dual-mode fluorescent probes and two-photon fluorescence imaging techniques to detect bioactive molecules like ROS and proteins in the lesion sites of live mice. These advancements have the potential to significantly enhance early disease diagnosis and drug discovery, providing fundamental tools for real-time organelle-level redox research.

Publication Top Notes

  1. “Prediction of Early Atherosclerotic Plaques Using a Sequence‐Activated Fluorescence Probe for the Simultaneous Detection of γ‐Glutamyl Transpeptidase and Hypobromous Acid”
    Angewandte Chemie International Edition, 2023, 136(1): e202315861
    Developed a dual-activated probe for early detection of atherosclerotic plaques.

  2. “Fluorescence Probes for Sensing and Imaging within Golgi Apparatus”
    Coordination Chemistry Reviews, 2023, 502: 215618
    Reviewed advancements in probes targeting the Golgi apparatus for cellular imaging.

  3. “Recent Progress in the Development of Small-Molecule Double-Locked Logic Gate Fluorescence Probes”
    Chemical Communications, 2023, 59: 11017-11027
    Discussed the evolution of logic gate-based fluorescence probes for biosensing.

  4. “Treatment Evaluation of Rheumatoid Arthritis by In Situ Fluorescence Imaging of the Golgi Cysteine”
    Talanta, 2023, 270: 125532
    Investigated the role of Golgi cysteine in rheumatoid arthritis treatment using fluorescence imaging.

  5. “Exploring Idiopathic Pulmonary Fibrosis Biomarker by Simultaneous Two-Photon Fluorescence Imaging of Cysteine and Peroxynitrite”
    Analytical Chemistry, 2022, 94(32): 11272-11281
    Utilized two-photon imaging to identify biomarkers in pulmonary fibrosis.

  6. “Simultaneous Fluorescence Imaging of Golgi O₂ and Golgi H₂O₂ in Mice with Hypertension”
    Biosensors and Bioelectronics, 2022, 213: 114480
    Monitored oxidative stress in hypertensive mice through Golgi-targeted imaging.

Conclusion:

Dr. Wang Hui is highly suitable for the Best Researcher Award based on:

  • Deep scientific expertise in molecular probe development.
  • Strong record of impactful research, patent filings, and national-level funding.
  • Consistent output in top-tier international journals.

Although aspects like citation metrics, editorial roles, and industry collaborations could further strengthen the application, these are not critical omissions. Dr. Wang’s contributions to early disease diagnosis using fluorescence imaging are timely, innovative, and aligned with global research priorities in medical diagnostics.

 

 

Iqtidar Ahmad | photocatalytic water splitting | Best Researcher Award

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Dr. Iqtidar Ahmad | photocatalytic water splitting | Best Researcher Award

Postdoctoral fellow, Shenzhen University, China.

Dr. Iqtidar Ahmad is a Pakistani physicist specializing in material physics and chemistry, currently serving as a Postdoctoral Researcher at the College of Materials Science and Engineering, Shenzhen University, China. He completed his Ph.D. in 2022 at Kunming University of Science and Technology, China. Dr. Ahmad has held teaching positions in Pakistan, including at Government Degree College, Lohor, and Army Public School and College, Mansehra. His research focuses on low-dimensional materials, van der Waals heterostructures, and their applications in optoelectronics, spintronics, and photocatalysis. He has co-authored several publications in high-impact journals, contributing significantly to the field of material science.

Profile

Orcid

Education 

Dr. Ahmad’s academic journey began with a Diploma of Associate Engineering (D.A.E.) in Electronics from Gandahara College of Technology, Chakdara, Pakistan, in 2009. He then pursued a Bachelor of Science (Hons) in Physics at Hazara University Mansehra, Pakistan, graduating in 2013 with a CGPA of 3.42/4. Continuing his studies, he completed a Master of Philosophy (M.Phil.) in Physics at the same institution in 2016, achieving a CGPA of 3.92/4. Dr. Ahmad further advanced his expertise by earning a Ph.D. in Material Physics and Chemistry from Kunming University of Science and Technology, China, in December 2022. His educational background laid a strong foundation for his research in material science and physics.

Experience 

Dr. Ahmad has a diverse professional background combining academia and research. He currently serves as a Postdoctoral Researcher at the College of Materials Science and Engineering, Shenzhen University, China, since 2023. Prior to this, he held teaching positions in Pakistan, including Lecturer roles at Government Degree College, Lohor (2016–2017), Army Public School and College, Mansehra (2015–2016), and Suffa Model School (2013–2014). His research experience encompasses computational studies on two-dimensional materials and their applications in energy-related fields. Dr. Ahmad’s work has led to several publications in peer-reviewed journals, reflecting his commitment to advancing knowledge in material science.

Research Focus 

Dr. Ahmad’s research primarily focuses on the theoretical investigation of low-dimensional materials and their heterostructures, utilizing first-principles calculations to explore their electronic, optical, and thermoelectric properties. His work aims to design materials with enhanced performance for applications in optoelectronics, spintronics, and photocatalysis. He employs advanced computational techniques, including density functional theory (DFT), to study phase transitions, strain engineering, and the effects of doping and adsorption on material properties. Dr. Ahmad’s research contributes to the development of materials with tailored properties for energy-related applications, such as water splitting and energy storage. His expertise in computational material science positions him at the forefront of research in this domain.

Publication Top Notes

  1. Title: Two-dimensional SiH/In₂XY (X, Y = S, Se) van der Waals heterostructures for efficient water splitting photocatalysis: A DFT approach

    • Journal: International Journal of Hydrogen Energy

    • Date: April 18, 2025

    • DOI: 10.1016/j.ijhydene.2025.04.289

    • Summary: This study investigates the photocatalytic properties of SiH/In₂XY heterostructures for water splitting applications, utilizing density functional theory to analyze their efficiency.

  2. Title: Theoretical insights into Sb₂Te₃/Te van der Waals heterostructures for achieving very high figure of merit and conversion efficiency

    • Journal: International Journal of Heat and Mass Transfer

    • Date: March 1, 2025

    • DOI: 10.1016/j.ijheatmasstransfer.2024.126479

    • Summary: This paper explores the thermoelectric properties of Sb₂Te₃/Te heterostructures, aiming to enhance their efficiency for energy conversion applications.

  3. Title: The van der Waals heterostructures of blue phosphorene with GaN/GeC for high-performance thermoelectric applications

    • Journal: APL Materials

    • Date: January 1, 2025

    • DOI: 10.1063/5.0243511

    • Summary: This research examines the potential of blue phosphorene/GaN/GeC heterostructures for thermoelectric applications, focusing on their performance and efficiency.

  4. Title: Enhanced spintronic and electronic properties in MTe₂-GdCl₂ (M=Mo, W) heterojunctions

    • Journal: Surfaces and Interfaces

    • Date: December 2024

    • DOI: 10.1016/j.surfin.2024.105364

    • Summary: This paper investigates the spintronic and electronic

  5. Title: Enhanced visible-light-driven photocatalytic activity in SiPGaS/arsenene-based van der Waals heterostructures

    • Journal: iScience

    • Date: 2023

    • DOI: 10.1016/j.isci.2023.108025

    • Summary: Demonstrates enhanced visible-light absorption and charge separation efficiency in SiPGaS/arsenene heterostructures, making them promising candidates for photocatalytic water splitting.

  6. Title: High thermoelectric performance of two-dimensional SiPGaS/As heterostructures

    • Journal: Nanoscale

    • Date: 2023

    • DOI: 10.1039/d3nr00316g

    • Summary: Investigates thermoelectric efficiency improvements through phonon suppression and high Seebeck coefficients in SiPGaS/As heterostructures.

  7. Title: Nickel selenide nano-cubes anchored on cadmium selenide nanoparticles for hybrid energy storage

    • Journal: Journal of Energy Storage

    • Date: 2023

    • DOI: 10.1016/j.est.2023.107065

    • Summary: First-ever design of NiSe nanocubes on CdSe for hybrid supercapacitor applications showing high capacitance and stability.

  8. Title: Versatile characteristics of Ars/SGaInS van der Waals heterostructures

    • Journal: Physical Chemistry Chemical Physics

    • Date: 2023

    • DOI: 10.1039/d2cp04832a

    • Summary: Analyzes multifunctional characteristics for applications in optoelectronics and photovoltaics.

  9. Title: Two-dimensional Janus SGaInSe/PtSe₂ heterostructures for water splitting

    • Journal: International Journal of Hydrogen Energy

    • Date: 2022

    • DOI: 10.1016/j.ijhydene.2022.06.188

    • Summary: Examines potential for solar-driven water splitting, emphasizing electron-hole separation efficiency.

  10. Title: Electronic, mechanical, and photocatalytic properties of Janus XGaInY monolayers

    • Journal: RSC Advances

    • Date: 2021

    • DOI: 10.1039/d1ra02324a

    • Summary: Explores tunable bandgaps and mechanical stability of Janus monolayers for photocatalysis.

Conclusion

Dr. Iqtidar Ahmad is a highly qualified, technically capable, and productive researcher in the field of computational materials science. His work demonstrates depth, novelty, and interdisciplinary relevance, making him a strong candidate for a Best Researcher Award, especially at the early to mid-career level.

Mohammad Mahdavian | Surface Coatings and Corrosion | Best Researcher Award

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Prof. Mohammad Mahdavian | Surface Coatings and Corrosion | Best Researcher Award

Professor, Institute for Color Science and Technology, Iran.

Dr. Mohammad Mahdavian is an esteemed Associate Professor at the Institute for Color Science and Technology (ICST) in Tehran, Iran, specializing in polymer engineering with a focus on surface coatings and corrosion protection. With over a decade of academic and industrial experience, he has significantly contributed to the development of advanced coating technologies, emphasizing sustainability and performance.

Profiles

Education

Dr. Mahdavian completed his Bachelor’s, Master’s, and Ph.D. degrees in Polymer Engineering at Amirkabir University of Technology (AUT), Tehran, Iran. His doctoral research, titled “Evaluation of corrosion inhibition of azole derivatives as alternatives to chromates,” earned him the distinction of top student with a GPA of 3.94. His academic journey reflects a deep commitment to advancing the field of polymer coatings and corrosion science.

Professional Experience

Dr. Mahdavian’s career spans both academia and industry. At ICST, he has held various positions, including Assistant Professor (2009–2011), Assistant Professor at Sahand University of Technology (2011–2013), and currently serves as Associate Professor since 2019. His industrial experience includes roles as Coating Scientist at Atlas Protecting Coating (APC) and Deputy of Paint Production Plant at Khosh Paint Company (KPC). Additionally, he has contributed to administrative services, such as Head of the International Scientific Cooperation Office at ICST and Secretary of the 6th International Color and Coating Congress in 2015.

Awards and Honors

Dr. Mahdavian’s exceptional contributions have been recognized internationally. He has been honored with the Distinguished Paper Award by the American Cleaning Institute in 2012. He was ranked among the top 1% in Materials Science & Cross-Field reviewers by Web of Science in 2019 and has been listed among the top 2% of scientists globally by Elsevier BV and Stanford University in 2020, 2021, and 2022. In 2023, he was selected as a Preeminent Scientist by the National Science Foundation of Iran and as an Outstanding Researcher by the Ministry of Science and Technology.

Research Focus

Dr. Mahdavian’s research encompasses the development of advanced polymer coatings, corrosion inhibitors, and nanocomposite materials. His work explores the synthesis and surface modification of nanoparticles, including graphene oxide, carbon nanotubes, and layered double hydroxides, for use in smart coatings with self-healing and anti-corrosion properties. He also investigates the application of metal-organic frameworks (MOFs) and clays in enhancing the performance of coatings. His interdisciplinary approach integrates electrochemistry, materials science, and nanotechnology to address challenges in corrosion protection.

Publication Top Notes

1. Enhancement of Barrier and Corrosion Protection Performance of an Epoxy Coating through Wet Transfer of Amino Functionalized Graphene Oxide

This study investigates the integration of amino-functionalized graphene oxide (GO) into epoxy coatings to enhance corrosion resistance. The modified coatings exhibited improved barrier properties and corrosion protection, demonstrating the potential of GO-based nanocomposites in protective coatings.

2. Glycyrrhiza Glabra Leaves Extract as a Green Corrosion Inhibitor for Mild Steel in 1 M Hydrochloric Acid Solution

The research explores the use of Glycyrrhiza glabra (licorice) leaf extract as a natural corrosion inhibitor for mild steel in acidic environments. The extract demonstrated significant corrosion inhibition, offering an eco-friendly alternative to traditional inhibitors.

3. Another Approach in Analysis of Paint Coatings with EIS Measurement: Phase Angle at High Frequencies

This paper presents an alternative method for analyzing paint coatings using Electrochemical Impedance Spectroscopy (EIS), focusing on phase angle measurements at high frequencies. The approach provides insights into the protective performance of coatings.

4. Covalently-Grafted Graphene Oxide Nanosheets to Improve Barrier and Corrosion Protection Properties of Polyurethane Coatings

The study examines the enhancement of polyurethane coatings by covalently grafting graphene oxide nanosheets. The modified coatings exhibited improved mechanical properties and corrosion resistance, highlighting the role of nanomaterials in coating performance.

5. Enhancement of the Corrosion Protection Performance and Cathodic Delamination Resistance of Epoxy Coating through Treatment of Steel Substrate by a Novel Nanometric Sol-Gel

This research investigates the application of a novel nanometric sol-gel treatment on steel substrates to enhance the corrosion protection and cathodic delamination resistance of epoxy coatings. The treatment led to significant improvements in coating performance.

6. Development of Metal-Organic Framework (MOF) Decorated Graphene Oxide Nanoplatforms for Anti-Corrosion Epoxy Coatings

The paper explores the development of metal-organic framework (MOF) decorated graphene oxide nanoplatforms for incorporation into epoxy coatings. The modified coatings demonstrated enhanced anti-corrosion properties, showcasing the potential of MOFs in protective coatings.

7. Effects of Highly Crystalline and Conductive Polyaniline/Graphene Oxide Composites on the Corrosion Protection Performance of a Zinc-Rich Epoxy Coating

This study investigates the incorporation of polyaniline/graphene oxide composites into zinc-rich epoxy coatings. The composites enhanced both cathodic protection and barrier properties, offering a dual mechanism for improved corrosion resistance.ADS

8. Corrosion Inhibition Performance of 2-Mercaptobenzimidazole and 2-Mercaptobenzoxazole Compounds for Protection of Mild Steel in Hydrochloric Acid Solution

The research evaluates the corrosion inhibition performance of 2-mercaptobenzimidazole and 2-mercaptobenzoxazole compounds for mild steel in hydrochloric acid. The study provides insights into the effectiveness of these compounds as corrosion inhibitors.

9. Persian Liquorice Extract as a Highly Efficient Sustainable Corrosion Inhibitor for Mild Steel in Sodium Chloride Solution

This paper examines the use of Persian liquorice extract as a sustainable corrosion inhibitor for mild steel in sodium chloride solution. The extract demonstrated high efficiency, offering an environmentally friendly alternative to traditional inhibitors.

10. Electrochemical Impedance Spectroscopy and Electrochemical Noise Measurements as Tools to Evaluate Corrosion Inhibition of Azole Compounds on Stainless Steel in Acidic Media

The study utilizes Electrochemical Impedance Spectroscopy (EIS) and Electrochemical Noise Measurements (ENM) to evaluate the corrosion inhibition of azole compounds on stainless steel in acidic media. The findings contribute to understanding the protective mechanisms of azole-based inhibitors.

Conclusion

Dr. Mohammad Mahdavian is a highly accomplished and internationally recognized researcher in the field of polymer coatings and corrosion protection. His robust publication record, impactful patents, academic leadership, and industrial collaborations form a compelling case for the Best Researcher Award. With continued expansion into international funding and science communication, he could further strengthen his candidacy for even broader global honors.

Amir Abdollahi | Electrical Engineering | Best Researcher Award

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Prof. Dr. Amir Abdollahi | Electrical Engineering | Best Researcher Award

Professor, Shahid Bahonar University of Kerman, Iran

Professor Amir Abdollahi, born on September 3, 1985, is a distinguished researcher and educator in power systems engineering. He serves as a full professor and Head of the Energy and Environment Research Institute at Shahid Bahonar University of Kerman, Iran. Prof. Abdollahi earned his Ph.D. from Tarbiat Modares University, Tehran, focusing on dynamic demand response from the ISO perspective. His professional journey spans high-impact teaching, cutting-edge research in electricity markets, smart grids, and renewable energy systems. Recognized for his leadership and innovation, he is an active member of IEEE and a published expert across several energy domains. His contributions address national and global challenges in energy reliability, economics, and optimization.

Profiles

🎓 Education

Professor Abdollahi’s academic journey reflects excellence across Iran’s premier institutions. He completed his Ph.D. in Electrical Engineering (Power Systems) from Tarbiat Modares University, Tehran, in 2012 under the mentorship of Prof. Mohsen Parsa Moghaddam. His doctoral research explored Dynamic Demand Response Scheduling from the ISO perspective, laying the foundation for future work in energy systems optimization. He holds a Master’s degree (M.Sc., 2009) from Sharif University of Technology, where he worked with Prof. Mehdi Ehsan on Security-Constrained Unit Commitment and Generation Scheduling. He began his academic pursuit with a B.Sc. in Electrical Engineering from Shahid Bahonar University, where his undergraduate thesis focused on the Impact of Restructuring on Power System Operation. These milestones have shaped his versatile expertise in energy management, smart grids, and system reliability.

👨‍🏫 Experience

Prof. Abdollahi brings over a decade of academic and research experience. As a Professor at Shahid Bahonar University, he teaches undergraduate and graduate courses such as Power System Operation, Planning, Reliability, Restructuring, and Smart Grids. He has supervised numerous MSc and PhD theses in cutting-edge areas like energy market modeling, demand-side management, and renewable integration. He also leads the Energy and Environment Research Institute, where he spearheads interdisciplinary projects and national collaborations. His service as a mentor, administrator, and curriculum designer has significantly contributed to engineering education in Iran. He is also active in the IEEE community and often collaborates on international platforms involving smart electricity grids and optimization algorithms. His dynamic presence bridges research, teaching, and innovation.

🔬 Research Focus 

Prof. Abdollahi’s research encompasses power system flexibility, smart electricity grids, demand response, energy economics, and renewable integration. His doctoral and post-doctoral work on Dynamic Demand Response Scheduling laid a foundation for modern smart grid control mechanisms. He investigates ways to optimize electricity markets under uncertainty, often using game theory, multi-criteria decision making (MCDM), and hybrid optimization methods. His ongoing projects explore the interaction of distributed energy resources with power system operation, market simulation, and energy resilience strategies. He combines theoretical modeling with real-world scenarios, contributing solutions for grid reliability, peak load management, and market regulation in developing and developed contexts. With energy systems undergoing rapid digital transformation, his work stands at the intersection of engineering, economics, and sustainability.

📄 Publication Top Notes

1. Flexible demand response programs modeling in competitive electricity markets

Authors: M.P. Moghaddam, A. Abdollahi, M. Rashidinejad
Journal: Applied Energy, Volume 88, Issue 9, 2011, Pages 3257–3269
Cited by: 391
Summary:
This paper develops a detailed framework for modeling various flexible demand response (DR) programs in competitive electricity markets. It distinguishes between incentive-based and price-based mechanisms, incorporating customer behavior in response to market signals. By applying optimization techniques, the authors evaluate the impact of DR on market performance, load profiles, and system reliability. The study concludes that DR can significantly enhance both economic efficiency and grid stability.

2. Investigation of economic and environmental-driven demand response measures incorporating UC

Authors: A. Abdollahi, M.P. Moghaddam, M. Rashidinejad, M.K. Sheikh-El-Eslami
Journal: IEEE Transactions on Smart Grid, Volume 3, Issue 1, 2011, Pages 12–25
Cited by: 211
Summary:
This work integrates economic and environmental considerations into a unit commitment (UC) model enhanced with demand response. It proposes a flexible UC framework that incorporates DR as a scheduling tool for power system operators. Using scenario-based simulations, the authors demonstrate that DR reduces both operational costs and CO₂ emissions. The paper emphasizes the strategic role of DR in achieving sustainability goals in smart grid operations.

3. Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model

Authors: H. Khaloie, A. Abdollahi, M. Shafie-Khah, A. Anvari-Moghaddam, S. Nojavan, et al.
Journal: Applied Energy, Volume 259, 2020, Article 114168
Cited by: 159
Summary:
The study proposes a multi-stage stochastic model for coordinated operation of wind, thermal, and energy storage systems in energy and spinning reserve markets. The model effectively handles uncertainties in wind power and market prices, offering optimal bidding strategies to maximize profit while ensuring system reliability. This paper highlights how energy storage enhances the dispatchability of renewable energy and supports reserve provision in volatile market conditions.

4. A comprehensive sequential review study through the generation expansion planning

Authors: H. Sadeghi, M. Rashidinejad, A. Abdollahi
Journal: Renewable and Sustainable Energy Reviews, Volume 67, 2017, Pages 1369–1394
Cited by: 152
Summary:
This review comprehensively analyzes generation expansion planning (GEP) techniques, classifying them by modeling approaches, uncertainty treatment, and objective criteria (economic, environmental, technical). It covers classical methods, stochastic programming, robust optimization, and scenario analysis, providing a step-by-step understanding of GEP frameworks. The study also explores integration of renewable energy, environmental regulations, and modern computational tools, making it a valuable reference for researchers and planners.

5. Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Authors: H. Khaloie, A. Abdollahi, M. Shafie-Khah, P. Siano, S. Nojavan, et al.
Journal: Journal of Cleaner Production, Volume 242, 2020, Article 118434
Cited by: 130
Summary:
This paper introduces a co-optimization strategy for hybrid renewable-conventional power systems (wind, thermal, and solar) in deregulated electricity markets. A stochastic programming approach accounts for uncertainties in generation, demand, and market prices. The findings show improved profitability and resilience of integrated energy systems. It also emphasizes the advantages of diversification and coordination among different energy sources under competitive market conditions.

6. The energy hub: An extensive survey on the state-of-the-art

Authors: H. Sadeghi, M. Rashidinejad, M. Moeini-Aghtaie, A. Abdollahi
Journal: Applied Thermal Engineering, Volume 161, 2019, Article 114071
Cited by: 104
Summary:
This extensive review presents the concept of the “energy hub” as a pivotal solution for managing multiple energy carriers (electricity, gas, heat, etc.) in a smart and integrated manner. It classifies energy hub models based on their mathematical formulation, control strategies, and optimization approaches. The review also discusses the role of energy hubs in smart cities and highlights future challenges in terms of uncertainty modeling, renewable integration, and cyber-physical system design.

7. Evaluation of plug-in electric vehicles impact on cost-based unit commitment

Authors: E. Talebizadeh, M. Rashidinejad, A. Abdollahi
Journal: Journal of Power Sources, Volume 248, 2014, Pages 545–552
Cited by: 101
Summary:
The paper investigates the influence of plug-in electric vehicles (PEVs) on traditional unit commitment strategies. A cost-based unit commitment model is enhanced by incorporating vehicle-to-grid (V2G) capabilities. The analysis reveals that coordinated charging and discharging of PEVs can flatten load profiles, improve generation scheduling, and reduce overall operational costs. This study showcases the benefits of integrating transportation electrification with power system operation.

8. Probabilistic multiobjective transmission expansion planning incorporating demand response resources and large-scale distant wind farms

Authors: A. Hajebrahimi, A. Abdollahi, M. Rashidinejad
Journal: IEEE Systems Journal, Volume 11, Issue 2, 2017, Pages 1170–1181
Cited by: 95
Summary:
This work introduces a probabilistic multiobjective framework for transmission expansion planning (TEP), considering both demand response and large-scale remote wind integration. Using a scenario-based optimization model, it evaluates trade-offs among cost, reliability, and environmental factors. The study emphasizes the significant impact of demand-side resources and renewables on reducing transmission investments and increasing system flexibility.

9. The role of energy storage and demand response as energy democracy policies in the energy productivity of hybrid hub system considering social inconvenience cost

Authors: S. Dorahaki, A. Abdollahi, M. Rashidinejad, M. Moghbeli
Journal: Journal of Energy Storage, Volume 33, 2021, Article 102022
Cited by: 63
Summary:
The authors explore how energy storage and demand response can support energy democracy and enhance energy productivity in hybrid hub systems. A multi-objective optimization model is proposed, which includes social inconvenience costs—representing the discomfort experienced by users due to participation in DR programs. The findings advocate for people-centered energy policies that balance technical efficiency with consumer welfare.

10. Risk-based probabilistic-possibilistic self-scheduling considering high-impact low-probability events uncertainty

Authors: H. Khaloie, A. Abdollahi, M. Rashidinejad, P. Siano
Journal: International Journal of Electrical Power & Energy Systems, Volume 110, 2019, Pages 598–612
Cited by: 61
Summary:
This paper proposes a hybrid probabilistic-possibilistic model for the self-scheduling of power producers under uncertainty. It particularly addresses high-impact low-probability (HILP) events, such as extreme weather or cyberattacks. The model integrates risk-averse strategies with operational decision-making to maintain reliability and cost-effectiveness. The approach is validated using case studies that show how HILP scenarios influence bidding and reserve commitments in electricity markets.

Conclusion

Professor Amir Abdollahi is a highly qualified and influential academic in the field of Power Systems Engineering. His academic leadership, diverse teaching, and research focus on modern challenges in energy systems make him a strong candidate for the Best Researcher Award, particularly at the national or institutional level.

Kai Zhang | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Kai Zhang | Mechanical Engineering | Best Researcher Award

Associate Professor, Shenyang University of Chemical Technology, China

ZHANG Kai is an accomplished Associate Professor at Shenyang University of Chemical Technology, specializing in artificial intelligence algorithms, robotics, and mechanical system optimization. With a doctoral degree in mechanical engineering, he has made significant contributions to intelligent fault diagnosis, machine vision, and the reliability of rotating machinery. Over the past five years, he has authored more than 30 academic papers, including 9 SCI-indexed and 11 EI-indexed articles, with 7 appearing in top-tier JCR Q1 journals. Dr. Zhang has led a sub-project under China’s National Key R&D Program and participated in several National Natural Science Foundation initiatives. His innovative research in adaptive optimization algorithms has also resulted in four patents. Committed to academic excellence and engineering innovation, Dr. Zhang continues to mentor students and lead pioneering research that bridges AI and mechanical design. His work enhances predictive maintenance, system reliability, and intelligent manufacturing technologies.

Profile

Scopus

Education 

ZHANG Kai earned his Doctorate in Mechanical Engineering, focusing on intelligent systems and optimization algorithms. His academic foundation is grounded in multidisciplinary studies that bridge traditional mechanical principles with cutting-edge computer science, especially in artificial intelligence and robotics. During his postgraduate years, he explored complex optimization problems, laying the groundwork for future research in algorithm development and machine learning applications in mechanical systems. His doctoral thesis was recognized for its innovation in adaptive optimization strategies for mechanism design. Dr. Zhang’s education equipped him with both theoretical acumen and practical engineering problem-solving skills, which he has since applied across a range of high-impact projects in academia and applied research. His passion for teaching and mentoring has also led to the development of curricula that integrate AI tools into traditional mechanical engineering coursework.

Experience 

Currently serving as Associate Professor at the Shenyang University of Chemical Technology, ZHANG Kai has over a decade of experience in academia and research. He has led and participated in multiple national-level projects, including a key sub-project under the National Key Research and Development Program. Over the past five years, he has published more than 30 peer-reviewed papers, many of which have been recognized in prestigious SCI and EI journals. He specializes in intelligent fault diagnosis for rotating machinery, differential evolution algorithms, and machine vision systems. His engineering expertise extends to vibration analysis and online health monitoring technologies. Dr. Zhang is also a key contributor to various academic initiatives aimed at improving the integration of AI within traditional mechanical systems. He is deeply involved in supervising graduate students and promoting interdisciplinary research within his department.

Research Focus

ZHANG Kai’s research lies at the intersection of mechanical engineering and artificial intelligence. His primary interests include the development of adaptive evolutionary algorithms, fault diagnosis techniques for rotating machinery, and intelligent machine vision systems. He applies AI-based solutions such as particle swarm optimization and differential evolution to solve multi-constraint mechanical design problems. His studies have enhanced the accuracy and efficiency of vibration monitoring, online health diagnostics, and fault tolerance systems in industrial equipment. With a growing emphasis on smart manufacturing, Dr. Zhang aims to bridge theoretical algorithm development with real-world mechanical applications. His research has far-reaching implications in industrial automation, robotics, and mechanical system reliability. He also works on improving the robustness and flexibility of mechanical optimization through novel algorithmic approaches. As industries increasingly seek to implement predictive maintenance and automation, his research offers critical tools and strategies for system sustainability and innovation.

Publication Top Notes

  1. Zhang K, Yang M, Zhang Y, et al.
    Title: Error feedback method (EFM) based dimension synthesis optimisation for four-bar linkage mechanism
    Journal: Applied Soft Computing, 2023: 110424
    Summary: Introduced an innovative error feedback method to enhance dimension synthesis in mechanical linkages, improving mechanical efficiency through intelligent correction algorithms.

  2. Kai Zhang, Eryu Zhu, et al.
    Title: A multi-fault diagnosis method for rolling bearings
    Journal: Signal, Image and Video Processing, 2024, 18: 8413-8426
    Summary: Developed a multi-fault detection model using signal processing and AI classification to improve maintenance systems in rotating equipment.

  3. Kai Zhang, Jiahao Zhu, Yimin Zhang, Qiujun Huang
    Title: Optimization method for linear constraint problems
    Journal: Journal of Computational Science, 2021, 51: 101315
    Summary: Proposed a new optimization framework for solving mechanical design issues with linear constraints using a hybrid computational approach.

Conclusion:

Associate Professor ZHANG Kai’s academic output, innovative methodologies, and active leadership in key research initiatives position him as a highly deserving candidate for the Best Researcher Award. His contributions significantly advance knowledge in AI-based mechanical systems and engineering reliability. Recognizing his work through this award would not only honor his individual achievements but also encourage further interdisciplinary research within his field.

Meng Duan | Engineering and Technology | Best Researcher Award

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Dr. Meng Duan | Engineering and Technology | Best Researcher Award

Engineer, Water Resources Research Institute of Inner Mongolia Autonomous Region, China

Meng Duan is a dedicated engineer and researcher in the field of agricultural water resource management, currently working at the Water Resources Research Institute of Inner Mongolia Autonomous Region. He earned his Ph.D. in Water Conservancy Engineering from China Agricultural University and has since made significant contributions to the study of evapotranspiration, water-carbon flux, and crop growth modeling. His research efforts have directly influenced water-saving irrigation strategies and sustainable agriculture in arid regions of China. With funding from the National Natural Science Foundation of China (NSFC) and collaborations with top institutions, Duan’s work bridges scientific innovation and field application. He has published widely in SCI-indexed journals, authored a highly regarded monograph, and holds a national patent related to crop canopy structure modeling. Recognized as an NSFC Excellent Young Scholar, Meng Duan continues to advance integrated water and agricultural solutions for regional and national impact.

Profile

Orcid

Education

Meng Duan received his doctoral degree (Ph.D.) in Water Conservancy Engineering from China Agricultural University, one of China’s premier agricultural and environmental research institutions. His doctoral studies focused on integrated water resource management and crop modeling, particularly in arid and semi-arid regions. During his academic journey, he conducted extensive research in the Heihe River Basin—a critical area for understanding water transformation and oasis agriculture. His thesis emphasized multi-process coupling mechanisms within soil-plant-atmosphere systems. He complemented his formal education with practical research experiences in national labs and collaborated with experts from the National Key Laboratory of Watershed Water Cycle Simulation. His strong academic foundation laid the groundwork for his future roles in applied water resource engineering, interdisciplinary modeling, and sustainable irrigation systems. With robust training in both theoretical frameworks and computational modeling techniques, Duan emerged from his education well-prepared to tackle complex hydrological and agricultural challenges.

Professional Experience 

Meng Duan currently serves as an Engineer at the Water Resources Research Institute of Inner Mongolia Autonomous Region. In this capacity, he has designed and implemented advanced models for evapotranspiration estimation, crop growth behavior, and water-carbon flux quantification. His professional track record includes leadership in several prestigious national-level research projects funded by the NSFC and the National Key Laboratory. Between 2015 and 2025, Duan contributed to over six major multi-year research programs, including work on scalable evapotranspiration models and the development of efficient irrigation systems tailored to China’s arid agricultural zones. Beyond research, he has played a crucial role in policy consultation for water use regulation and agronomic strategy optimization in Inner Mongolia. His technical contributions span data simulation, system integration, and predictive analytics for agricultural productivity. Through collaboration with cross-disciplinary teams and institutions, Duan has gained a reputation as a practical and visionary water resource engineer.

Research Focus 

Meng Duan’s research is centered on sustainable agricultural water management in arid and semi-arid regions. He specializes in evapotranspiration modeling, water-carbon flux analysis, and crop growth simulation. His work bridges the theoretical and practical realms by developing tools and methods that improve irrigation efficiency and crop productivity. A major focus of his research is understanding the dynamic interactions between soil, mulch, plant, and atmospheric systems, especially under water-stressed conditions. He has developed innovative models to link canopy structure with radiation efficiency, significantly boosting maize yields and optimizing water use. With NSFC-funded support, Duan’s research has resulted in tangible irrigation strategies that reduce water usage by up to 25% in Inner Mongolia. He continues to explore how remote sensing, environmental physics, and data-driven modeling can synergize to support food security and ecological resilience in vulnerable agricultural zones.

Publication Top Notes

  1. Meng Duan, Baozhong Zhang. (2025).
    Title: Modeling the Impact of Canopy Structure on Crop Water Use Efficiency in Arid Zones
    Journal: Agronomy
    Indexing: SCI, IF = 3.7, CAS II
    Summary: This study explores how variations in canopy structure affect evapotranspiration and crop yield, providing a model for improving irrigation practices in drylands.

Conclusion:

 Meng Duan stands out as a highly competent and impactful early-career researcher, especially in the specialized field of agricultural water resources engineering. His research contributes significantly to sustainable water   management, food security, and agro-ecological modeling in arid regions of China.

Kyeong A So | Gynecologic oncology | Best Researcher Award

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Assoc. Prof. Dr. Kyeong A So | Gynecologic oncology | Best Researcher Award

Associate Professor, Konkuk University Hospital, South Korea

Dr. Kyeong A So is an Associate Professor in the Department of Obstetrics and Gynecology at Konkuk University Hospital and School of Medicine, Seoul, Korea. With a distinguished career in gynecologic oncology, Dr. So has contributed significantly to the understanding and treatment of gynecologic cancers. Having earned an M.D., a Master’s degree, and a Ph.D. in Medicine from Korea University, Dr. So’s expertise spans clinical practice, research, and education. They have held various clinical and academic roles, including Assistant Professor and Clinical Professor in prominent hospitals. Dr. So is a leading member of numerous professional organizations such as the Korean Society of Gynecologic Oncology and the Korean Gynecologic Oncology Group. Recognized for their work in both research and education, Dr. So continues to make a remarkable impact in the field through pioneering studies and leadership roles.

Profile

Scopus

Education

Dr. Kyeong A So completed their education at Korea University, Seoul, Korea. They began with the Premedical School from 2000-2002, followed by an M.D. from Korea University School of Medicine (2002-2006). This was followed by advanced postgraduate studies, culminating in a Master of Science degree (2007-2009) and a Doctor of Philosophy (Ph.D.) in Medicine (2009-2012) from Korea University Graduate School. This solid educational foundation has equipped Dr. So with a deep understanding of both clinical and research aspects of gynecologic oncology. Their academic path demonstrates a commitment to continuous learning and advancing medical knowledge, particularly in the field of gynecologic cancer treatment and research.

Experience

Dr. Kyeong A So has an extensive career in both clinical and academic settings. After completing their internship at Seoul National University Hospital (2006-2007), Dr. So trained as a resident at Korea University Guro Hospital, specializing in Obstetrics and Gynecology from 2007-2011. Following residency, they completed a fellowship in Gynecologic Oncology at the same hospital from 2011-2014. Dr. So’s academic journey includes roles as a Clinical Professor at Myongji Hospital (2014-2015) and as an Assistant Professor at Cheil General Hospital and Women’s Healthcare Center (2015-2018). In 2019, they joined Konkuk University Hospital as an Assistant Professor and became an Associate Professor in 2022. In these roles, Dr. So has made significant contributions to medical education, research, and patient care in the field of gynecologic oncology.

Awards and Honors

Dr. Kyeong A So has received several awards and honors in recognition of their excellence in the field of gynecologic oncology. In 2010, they were honored with a Certificate of Commendation from Korea University Medical Center. In 2013, Dr. So received the “Best Oral Abstract” award at the 14th Annual Congress of the Asia-Pacific Association for Gynecologic Endoscopy for their groundbreaking research. Their research has also been widely published and cited, further establishing Dr. So as a leading expert in the field. These accolades reflect Dr. So’s commitment to advancing gynecologic oncology, both through clinical practice and innovative research, and underscore their standing as a respected academic and clinician.

Research Focus

Dr. Kyeong A So’s research focuses on advancing the understanding, diagnosis, and treatment of gynecologic cancers, particularly endometrial and ovarian cancers. They have investigated the molecular and clinical aspects of cancer recurrence, treatment efficacy, and fertility preservation in cancer patients. Dr. So’s work on the impact of menopausal status on HPV infection and vaginal dysbiosis has also contributed to the broader understanding of gynecologic health. Their current research efforts include exploring novel treatment regimens such as immunotherapy and personalized medicine. Through collaboration with international researchers and involvement in clinical trials, Dr. So is committed to improving patient outcomes and providing innovative solutions in the treatment of gynecologic cancers. This work has been widely published, with several articles appearing in high-impact journals, and has garnered significant attention in the scientific community.

Publication Top Notes

  1. Surgical staging in early endometrial cancer without intra-uterine manipulator using the da Vinci SP robotic system 🦠🩺
  2. Risk factors for the recurrence in patients with early endometrioid endometrial cancer achieving complete remission for fertility-sparing hormonal treatment 🔬
  3. Menopausal status induces vaginal dysbiosis in women with human papillomavirus infection 🔬
  4. Atezolizumab and chemotherapy for advanced or recurrent endometrial cancer (AtTEnd): a randomised, double-blind, placebo-controlled, phase 3 trial 📊🧬
  5. The Expression and Amplification of HER2 Has a Significant Impact on the Prognosis of Endometrial Carcinoma in Korean Patients 🧪📑

 

 

Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

Assistant Professor, UCSI University, Malaysia

Dr. Sathiyaraj Thambiayya is an Assistant Professor in the Institute of Actuarial Science and Data Analytics at UCSI University, Kuala Lumpur, Malaysia. He holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, India. With over six years of teaching and research experience, Dr. Sathiyaraj specializes in control systems, fractional calculus, stochastic processes, and artificial intelligence applications in dynamic systems. He has worked as a Post-Doctoral Research Fellow at Guizhou University, China, and has been selected for the prestigious National Post-Doctoral Fellowship by the Science and Engineering Research Board (SERB), Government of India. Dr. Sathiyaraj’s research contributions have been recognized globally, with a total research impact factor of 67.10 and a focus on applying advanced mathematics to real-world challenges such as healthcare and AI systems. He is currently leading several funded research projects and is actively involved in postgraduate supervision.

Profile

Google Scholar

Education

Dr. Sathiyaraj Thambiayya completed his Ph.D. in Mathematics from the Department of Mathematics at The Gandhigram Rural Institute, India (2015–2017). Before that, he earned a Master of Philosophy in Mathematics from St. Joseph’s College, Trichy, India (2011–2012) and a Master of Science in Mathematics from the same institution (2009–2011). He holds a Bachelor of Education in Mathematics from Tamil Nadu Teachers Education, Chennai, India (2008–2009), and a Bachelor of Science in Mathematics from AVVM Sri Pushpam College, Thanjavur, India (2005–2008). Additionally, he completed his Higher Secondary School at Govt. High School, Thanjavur, India (2003–2005). His academic journey highlights his consistent focus on mathematics and its application to real-world problems, particularly in control systems, stochastic processes, and fractional calculus.

Experience

Dr. Sathiyaraj Thambiayya has extensive academic experience in teaching and research. He currently serves as an Assistant Professor at the Institute of Actuarial Science and Data Analytics at UCSI University, Malaysia, where he has been employed since January 2024. Previously, he worked as a Lecturer in the same institute (2021–2023). His earlier academic experience includes a role as a Guest Faculty at The Gandhigram Rural Institute, India (2017–2018), and as an Assistant Professor in Mathematics at Oxford Engineering College, Trichy, India (2012–2013). Dr. Sathiyaraj has contributed significantly to research during his Post-Doctoral Fellowship at Guizhou University, China (2018–2021), and under the SERB Fellowship at IIT Kanpur, India (2021). His teaching and research have revolved around advanced mathematics, stochastic systems, AI, and control theory, with a particular emphasis on healthcare applications and machine learning.

Awards and Honors

Dr. Sathiyaraj Thambiayya has received several prestigious awards throughout his career. In December 2021, he was selected for the National Post-Doctoral Fellowship (NPDF) by the Science and Engineering Research Board (SERB), Government of India, which he carried out under the mentorship of Prof. Dhirendra Bahuguna at the Indian Institute of Technology Kanpur. This fellowship recognizes his excellence in mathematical research. In December 2013, Dr. Sathiyaraj was awarded the Senior Research Fellow by the Council of Scientific and Industrial Research (CSIR), New Delhi, India, which facilitated the completion of his Ph.D. degree. These honors reflect his exceptional academic and research contributions, particularly in the areas of stochastic processes, fractional calculus, and dynamic systems, positioning him as a leading researcher in applied mathematics and control theory.

Research Focus

Dr. Sathiyaraj Thambiayya’s research focuses on several advanced topics in applied mathematics, with particular emphasis on control systems, stochastic processes, fractional calculus, and machine learning applications for dynamic systems. His research interests include approximate controllability, optimal control, and the development of AI-based solutions for complex systems. His expertise lies in analyzing the qualitative behavior of dynamical systems, including fractional-order systems and stochastic differential equations. He has applied these methods to real-world problems, including the use of AI for the automated detection of diabetic retinopathy and the modeling of complex stochastic systems. His ongoing research explores the intersection of AI, control theory, and fractional calculus, particularly in dynamic and uncertain environments. Through these efforts, Dr. Sathiyaraj aims to develop innovative mathematical tools and techniques for tackling complex problems in engineering, healthcare, and other fields.

Publication Top Notes

  1. Controllability and optimal control for a class of time-delayed fractional stochastic integro-differential systems 📝🔧
  2. Ulam’s stability of Hilfer fractional stochastic differential systems 🧮🔍
  3. Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution 🔄🌐
  4. ABC Fractional Derivative for the Alcohol Drinking Model using Two‐Scale Fractal Dimension 🍻📊
  5. Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion 🏗️🔢
  6. Null controllability results for stochastic delay systems with delayed perturbation of matrices 🕒📉
  7. Relative controllability of a stochastic system using fractional delayed sine and cosine matrices 🔢📏
  8. The controllability of fractional damped stochastic integrodifferential systems ⚙️📉
  9. Synchronization of butterfly fractional order chaotic system 🦋🌀
  10. Controllability of Hilfer fractional stochastic system with multiple delays and Poisson jumps 🔄🧮

 

 

Bawinile Hadebe | Breast Cancer | Best Researcher Award

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Dr. Bawinile Hadebe | Breast Cancer | Best Researcher Award

Head Clinical Unit, Inkosi Albert Luthuli Central Hospital, South Africa

Dr. Bawinile Pearl-Gene Hadebe is an esteemed Nuclear Medicine specialist, currently serving as the Head of the Nuclear Medicine Department at Inkosi Albert Luthuli Central Hospital in South Africa. She is also an Honorary Lecturer at the University of KwaZulu-Natal. Bawinile holds an MBChB from the University of Cape Town, with postgraduate qualifications in Nuclear Medicine, including the FCNP(SA) and an MMed. She is pursuing a PhD in Nuclear Medicine at the University of KwaZulu-Natal. With a focus on clinical research, her work has made significant contributions to molecular imaging in oncology, particularly in oropharyngeal squamous cell carcinoma. Bawinile is known for her leadership in training future nuclear medicine specialists and her global impact as a researcher. She has been recognized with numerous awards for her research excellence and academic achievements. Her interests include jogging, traveling, and reading.

Profile

Google Scholar

Education

Dr. Bawinile Pearl-Gene Hadebe completed her medical studies at the University of Cape Town, where she earned a Bachelor of Medicine and Bachelor of Surgery (MBChB) degree from 2002 to 2007. Her commitment to advancing her career in nuclear medicine led her to specialize in the field, and she became a Fellow of the College of Nuclear Physicians of South Africa (FCNP) in October 2015. She also holds a Master of Medicine (MMed) degree, where her research on 99mTc-MIBI scintimammography in breast cancer patients earned her significant recognition, with the abstract published in the World Journal of Nuclear Medicine. Currently, Bawinile is a PhD candidate at the University of KwaZulu-Natal, focusing on the clinical impact of 68Ga-Pentixafor in oropharyngeal squamous cell carcinoma, with a focus on HIV-infected and non-infected patients. Her academic journey has been marked by academic excellence and leadership.

Experience

Dr. Bawinile Pearl-Gene Hadebe has extensive experience in both clinical practice and academic leadership. She currently serves as the Head of the Nuclear Medicine Department at Inkosi Albert Luthuli Central Hospital, where she plays a critical role in patient care and medical education. Her past leadership roles include Acting Academic Head of Department at the University of KwaZulu-Natal’s Nuclear Medicine Department. Prior to these, she was a Specialist Nuclear Physician at Inkosi Albert Luthuli Central Hospital and Sefako Makgatho Health Sciences University. Dr. Hadebe’s experience spans both public and academic health institutions, with her expertise in nuclear medicine and imaging helping to shape the next generation of medical professionals. Additionally, she has worked at several hospitals, including Dr. George Mukhari Academic Hospital and Mmametlhake Community Hospital, contributing to a broad range of patient care and specialized research projects in nuclear medicine and oncology.

Awards and Honors

Dr. Bawinile Pearl-Gene Hadebe has received numerous prestigious awards and honors in recognition of her contributions to the field of nuclear medicine. In 2023, she was awarded the Discovery PhD Fellowship Award, a significant recognition for her ongoing research in molecular imaging and oncology. She also secured the SAMRC self-initiated research fund, providing R200,000 per year for three years (2023–2025) to advance her research. Her groundbreaking work on nuclear imaging techniques has earned her the Vulindlela Holdings research grant of R45,000 for her PhD research. Dr. Hadebe has also earned international accolades, winning the Best International Abstract Award for South Africa at the SNMMI meeting in Toronto (June 2024) and the Best Abstract Award at the iPET meeting in Vienna (October 2024). Her expertise has led to her selection as an international expert at the International Atomic Energy Agency (IAEA) regional training course in Cairo, Egypt, in August 2024.

Research Focus

Dr. Bawinile Pearl-Gene Hadebe’s research primarily focuses on the application of nuclear medicine and molecular imaging in oncology, specifically in the diagnosis and management of cancers such as oropharyngeal squamous cell carcinoma (SCC). Her PhD research explores the clinical impact of 68Ga-Pentixafor PET/CT in evaluating CXCR-4 expression in oropharyngeal SCC in both HIV-infected and non-infected patients. The aim is to assess the diagnostic performance of this molecular imaging technique in the context of KwaZulu-Natal’s unique healthcare challenges. In addition, her earlier work, such as the role of 99mTc-MIBI scintimammography in breast cancer diagnosis, has demonstrated the utility of nuclear medicine in improving the detection and management of malignancies. Dr. Hadebe’s research is not only scientifically significant but also highly relevant to addressing the healthcare needs in resource-constrained settings.

Publication Top Notes

  • Current Status of 68Ga-Pentixafor in Solid Tumours 🧬🩺
  • Molecular Imaging and Theranostics in Ovarian Cancer: The Role of Nuclear Medicine 🔬💉
  • The Clinical Utility of 2-deoxy-2-[18F] Fluoro-d-glucose Positron Emission Tomography in Guiding Myocardial Revascularisation 🫀📊
  • The Role of 99m Tc-Mibi Scintimammography in Predicting Malignancy in Patients Suspected to Have Fibroadenomas of the Breast on Mammography 🩻👩‍⚕️
  • Assessing the Diagnostic Accuracy of 99mTc-MIBI Scintimammography in Predicting Malignancy in Patients Suspected to Have Fibroadenomas of the Breast 🩻🔍