Galder Kortaberria | Polymeric materials | Best Review Paper Award

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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

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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

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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

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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

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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

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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. 🌟📘⚗️

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.

Bhushan Chaudhari | Computer Science and Artificial Intelligence | Best Industrial Research Award

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Mr. Bhushan Chaudhari | Computer Science and Artificial Intelligence | Best Industrial Research Award

Technology Lead, Iris Software Inc, United States

Dr. Bhushan P. Chaudhari is a Senior Principal Scientist at CSIR-National Chemical Laboratory (NCL), Pune, India. With a Ph.D. from Marathwada Agricultural University, he has over two decades of experience in nanotechnology and nanomedicine. His research focuses on developing next-generation targeted drug delivery systems, nanobiosensors, and sustainable agricultural solutions. Dr. Chaudhari has supervised numerous Ph.D. students and has been instrumental in advancing the field of nanopharmacology.

Profile

Google Scholar

Education

Dr. Chaudhari completed his Bachelor of Engineering in Computer Science from North Maharashtra University, India. He later pursued a Ph.D. in Biological Sciences from CSIR-NCL, Pune, under the guidance of Dr. Bhushan P. Chaudhari. His doctoral research focused on the structure-function characterization of the tail-anchored protein translocation pathway in plants, contributing significantly to the understanding of protein transport mechanisms in plant cells.

Experience

Dr. Chaudhari’s professional journey includes roles at various organizations:

  • CSIR-NCL, Pune: As a Senior Principal Scientist, he leads research in nanopharmacology, focusing on targeted drug delivery systems and nanobiosensors. IJBio+6Google Sites+6NCL IRINS+6

  • Tech Mahindra Ltd.: He worked as a Member of Technical Staff, contributing to projects like EDD-ISA, where he developed solutions for enterprise document delivery systems.

  • Perennial System: As a Team Lead, he managed offshore teams and developed dynamic web applications for clients in the insurance sector.

  • BioAnalytical: In this role, he enhanced backend and UI components for web-based applications in the healthcare domain.

Research Focus

Dr. Chaudhari’s research is centered on nanotechnology applications in medicine and agriculture. His work includes the development of functionalized nanoparticles for disease detection, biosynthesis of nanoparticles using fungi, and the creation of stimuli-responsive drug delivery systems. He has also explored the use of nanomaterials in combating plant viral diseases and enhancing agricultural sustainability.

Publications

  1. Functionalized gold nanorods (GNRs) as a label for the detection of thyroid-stimulating hormone (TSH) through lateral flow assay (LFA)
    Emergent Materials, 2024
    This study presents the use of GNRs in lateral flow assays for the sensitive detection of TSH, aiding in thyroid function diagnostics.

  2. Chitosan nanoparticles for single and combinatorial delivery of 5-fluorouracil and ursolic acid for hepatocellular carcinoma
    Emergent Materials, 2024
    The research explores chitosan-based nanoparticles for co-delivery of chemotherapeutic agents, enhancing therapeutic efficacy against liver cancer.

  3. Understanding Critical Aspects of Liposomal Synthesis for Designing the Next Generation Targeted Drug Delivery Vehicle
    Chemistry Select, 2023
    This article delves into liposomal synthesis techniques, providing insights for developing advanced drug delivery systems.

  4. Robust Optimization and Characterization of MCM-41 Nanoparticle Synthesis using Modified Sol-Gel Method
    Chemistry Select, 2023
    The paper discusses the optimization of MCM-41 nanoparticle synthesis, focusing on structural and functional properties for various applications.

  5. Nanoparticles for the Delivery of Antiviral Phytotherapeutics
    Advances in Phytonanotechnology for Treatment of Various Diseases, CRC Press, 2023
    This book chapter examines the role of nanoparticles in enhancing the delivery of plant-based antiviral agents, offering new therapeutic avenues.

Conclusion

Bhushan B. Chaudhari is a strong candidate for the Best Industrial Researcher Award, particularly in the applied software engineering and AI-driven enterprise architecture domains. His ability to integrate modern research into scalable, real-time financial and telecom applications is both impressive and impactful. His work demonstrates a clear bridge between industrial challenges and technological innovation, with AI, microservices, and cloud-native design at its core. With more academic collaboration and broader community engagement, he could emerge as a leading figure not just in implementation, but also in shaping future software engineering practices.

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.

 

 

Vivek Vohra | Organizational Behavior | Best Researcher Award

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Mr. Vivek Vohra | Organizational Behavior | Best Researcher Award

Research Scholar, Indian Institute of Management, Ranchi, India

Vivek Vohra is a Ph.D. candidate in Management at the Indian Institute of Management, Ranchi, specializing in Organizational Behavior and Human Resource Management. His research focuses on socio-economic class disparities, career sustainability, and gender, particularly in the context of low-income mothers. Vivek’s work explores career decisions and mobility constraints in familialized societies, contributing significantly to inequality research. He holds an MBA in Organizational Behavior from Devi Ahilya Vishwa Vidyalaya, Indore, and a B.Sc. in Statistics and Computer Science from Vikram University, Ujjain. Vivek has published in top-tier journals and has been nominated for several awards. He also has diverse professional experience, including roles in academia and the banking sector. He is passionate about flexibility in the workplace, its stigma, and its implications for human resource management.

Profile

Orcid

Education: 

Vivek Vohra is currently pursuing his Ph.D. in Management (Organizational Behavior & Human Resource Management) at the Indian Institute of Management, Ranchi. He has submitted his thesis titled “Career Decisions and Mobility Constraints for Low-Income Mothers: A Multi-Contextual Exploration in Familialized Societies,” with an internal defense expected by August 2025. Vivek earned his MBA in Organizational Behavior and Human Resource Management from Devi Ahilya Vishwa Vidyalaya, Indore, in 2020. He completed his B.Sc. in Statistics and Computer Science from Vikram University, Ujjain, in 2018. Throughout his academic journey, Vivek has developed a strong foundation in human resource management, with a keen interest in addressing socio-economic class-based inequalities in career development, especially for marginalized groups.

Experience:

Vivek Vohra has diverse professional experience, spanning academia and industry. He served as an Assistant Professor at Indore Management Institute from December 2021 to May 2022, where he taught courses in human resource management. Prior to that, he worked as an Assistant Manager at Bandhan Bank from October 2020 to November 2021, where he gained valuable insights into organizational management and banking operations. Vivek’s academic journey at IIM Ranchi has provided him with research expertise in organizational behavior and human resource management. He also contributes actively to various conferences and workshops, sharing his research and findings with the broader academic community. Vivek’s multidisciplinary background enables him to bridge the gap between research and practice in human resource management.

Research Focus:

Vivek Vohra’s research focuses on socio-economic class disparities, career sustainability, and gender. His core question—”Why do we see persistent socio-economic class-based gaps in career attainment and mobility?”—drives his exploration of career decisions and mobility constraints, particularly for women from low-income backgrounds. Drawing on flexible work models and cultural theories, his research aims to provide new insights into how individuals from diverse socio-economic backgrounds navigate their careers. Vivek is particularly interested in understanding how organizations can better manage human resources from these diverse backgrounds and how flexible work arrangements can impact career development, especially for women in familialized societies.

Publications:

📄 Embracing Flexibility Post-COVID-19: A Systematic Review of Flexible Working Arrangements Using the SCM-TBFO Framework – Global Journal of Flexible Systems Management, Mar 2024 | DOI: 10.1007/s40171-023-00366-9 🧠💼🌍
👥 Authors: Vivek Vohra, Shiwangi Singh, Tanusree Dutta

🌐 Work, Wander and Repeat: Modeling the Enablers of Digital Nomadic Lifestyle – Journal of Global Mobility: The Home of Expatriate Management Research, Mar 2025 | DOI: 10.1108/JGM-05-2024-0044 ✈️💻🗺️
👥 Authors: Vivek Vohra, Shanthi Banishetty, Tanusree Dutta, Aanchal Joshi

Conclusion:

Vivek Vohra stands out as a dedicated and insightful scholar whose research bridges the gap between organizational behavior theory and real-world socio-economic challenges. With a strong academic foundation from premier Indian institutions and a growing list of impactful publications, Vivek explores how career trajectories are shaped by inequality, class, and gender, especially for marginalized populations. His interdisciplinary approach, blending cultural theory with HR practices, reflects a deep commitment to making workplaces more inclusive and equitable. As he nears the completion of his Ph.D., Vivek is poised to make significant contributions to academia and industry alike, offering both intellectual rigor and practical relevance in addressing critical human resource management issues in contemporary society. 🌍📘💼