Qingyun Yang | Robotics and Automation | Best Researcher Award

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Assoc. Prof. Dr. Qingyun Yang | Robotics and Automation | Best Researcher Award

Qingyun Yang | Zaozhuang University | China

Assoc. Prof. Dr. Qingyun Yang is a distinguished academic and researcher at the College of Mechanical and Electrical Engineering, Zaozhuang University, China, where he has served as Lecturer and Associate Professor since 2016. He earned his B.S. degree in Electrical Engineering and Automation from Nanjing Normal University in 2008, followed by an M.S. degree in Pattern Recognition and Intelligent Systems in 2011 and a Ph.D. in Control Theory and Control Engineering in 2016, both from the Nanjing University of Aeronautics and Astronautics. His professional experience is marked by a steady trajectory of excellence in teaching, research, and project leadership, especially in the fields of nonlinear systems and control, constrained control, and advanced flight control systems for near-space vehicles and UAVs. Dr. Yang’s primary research interests include robust adaptive control, prescribed performance tracking, reinforcement learning-based control strategies, fault-tolerant systems, and aerospace engineering applications. He has developed strong research skills in nonlinear dynamics modeling, control algorithm design, simulation, and experimental validation, complemented by expertise in advanced optimization, adaptive neural networks, and machine intelligence approaches. Over the years, he has authored and co-authored multiple peer-reviewed publications in high-quality SCI and EI journals such as Neurocomputing, Journal of Applied Mathematics, Control Theory and Applications, and Machines, alongside IEEE conference proceedings, demonstrating both breadth and depth in control engineering research. His notable book Robust Constrained Flight Control for Near Space Vehicles (National Defense Industry Press, 2017) further highlights his contribution to the field. Professionally, he has led several significant research projects, including funding from the National Natural Science Foundation of China (Youth Fund) and the Shandong Provincial Natural Science Foundation, as well as a Key R&D Program of Shandong Province (2025–2028) with a major focus on industrial machine tool innovation. His recognition includes multiple project leadership roles and scholarly contributions that advance both theory and practice in engineering systems control. According to Scopus, Dr. Yang has received 142 citations, 15 documents, and an h-index of 5, reflecting his growing impact in the international research community. In conclusion, Assoc. Prof. Dr. Qingyun Yang is an accomplished researcher and academic whose sustained contributions to control theory, aerospace systems, and intelligent engineering mark him as an emerging leader in his field. With his strong foundation in robust adaptive methods, active involvement in funded projects, and expanding global visibility, he is well-positioned to make transformative contributions to control engineering and interdisciplinary automation research in the future.

Profile: Scopus

Featured Publications

Cai, L., Yang, Q., & Chen, M. (2016). Robust tracking control of near space vehicles with input and output saturation. Revista de la Facultad de Ingeniería, 31(3), 282–299.

Yang, Q., & Chen, M. (2013). Composite nonlinear control for near space vehicles with input saturation based on disturbance observer. In Proceedings of the 32nd Chinese Control Conference (pp. 2763–2768). IEEE.

Yang, Q., & Chen, M. (2014). Anti-windup control for near space vehicles subject to input saturation. In Proceedings of the 33rd Chinese Control Conference (pp. 3760–3765). IEEE.

Shao, S., Chen, M., & Yang, Q. (2016). Sliding mode control for a class of fractional-order nonlinear systems based on disturbance observer. In Proceedings of the 2016 IEEE International Conference on Industrial Technology (pp. 1790–1795). IEEE.

Min, H., & Yang, Q. (2018). Study on modeling and simulation of production logistics system based on Flexsim. Academic Journal of Manufacturing Engineering, 16(2).

 

Jack Ng Kok Wah | Public Health | Best Researcher Award | 1653

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Dr. Jack Ng Kok Wah | Public Health | Best Researcher Award

Senior Lecturer | Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is an accomplished academic and industry professional with more than three decades of experience across healthcare, banking, education, and marketing, establishing himself as a well-rounded leader in both practice and scholarship. He earned his Ph.D. in Business in 2023 from Universiti Malaya-Wales, where his research explored psychological factors influencing health protective behavior among private healthcare consumers and the mediating role of consumer innovativeness, integrating behavioral science with health and marketing. His academic foundation also includes an MBA in Marketing from Olympia College Kuala Lumpur (2004) and a BA (Hons) in Marketing Management from Stamford College, Petaling Jaya (2001). Professionally, Dr. Jack has served as Marketing Manager in leading organizations such as Sentosa Specialist Hospital Klang, Tung Shin Hospital, Columbia Leisure Group, AmBank, and CIMB Bank, where he specialized in marketing management, digital innovation, and strategic leadership. Transitioning into academia, he is now a Senior Lecturer at Multimedia University, Cyberjaya, Malaysia, where he combines industry expertise with academic rigor to guide future professionals. His research interests encompass digital marketing, consumer behavior, artificial intelligence in healthcare, marketing psychology, and the emerging role of robotics in surgery and e-health solutions. He has published in reputed Scopus- and IEEE-indexed journals, including Frontiers in Public Health, Journal of Robotic Surgery, Food Reviews International, and Journal of Cases on Information Technology, contributing to multidisciplinary areas such as AI-driven healthcare, robotic surgery, fintech, digital learning, and workplace mental health. His research skills include advanced methodologies such as structural equation modeling, digital behavioral analytics, and systematic literature reviews, paired with the ability to link theory to applied practice. He also serves as a peer reviewer for international journals, reflecting his scholarly engagement. Dr. Jack holds the PIKOM Project Leadership Certification (PLC) Associate from the National ICT Association of Malaysia and is active on platforms like Scopus, ResearcherID, and ResearchGate, which strengthen his global visibility. With 25 citations across 10 indexed documents and an h-index of 3, he demonstrates promising research impact for a scholar who entered academia after a successful professional career. In conclusion, Dr. Jack Ng Kok Wah represents a unique blend of industry excellence, academic achievement, and research innovation, making him a strong candidate for honors such as the Best Researcher Award, as his work continues to advance knowledge while delivering meaningful societal impact.

Profiles: Scopus | ORCID | Google Scholar 

Featured Publications

  1. Wah, J.N.K. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(1), Article 47.

  2. Wah, J.N.K. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.

  3. Wah, J.N.K. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.

  4. Wah, J.N.K. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13, Article 1530799.

  5. Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structure equation modeling (SEM), normality of data distribution analysis & model fit measures. Journal of Clinical Epidemiology & Toxicology, 4(2), 1–5.

 

 

Nassim Bout | Computer Science | Best Researcher Award

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Mr. Nassim Bout | Computer Science | Best Researcher Award

Senior Central Officer |  Hassan II University of Casablanca | Morocco

Mr. Nassim Bout is an accomplished adjunct professor and researcher in computer engineering, healthcare information systems, and artificial intelligence, recognized for his innovative contributions to AI-driven healthcare solutions, digital hospital services, and bioinformatics applications. He holds a Ph.D. in Engineering Sciences (Computer Engineering) from ENSEM, Hassan II University, Casablanca (2021–2024), and a Research Master’s in Management and Modeling of Complex Information Systems from ENSIAS, Mohammed V University, Rabat (2019–2021), reflecting a strong academic foundation in both technical and management aspects of complex information systems. Professionally, he has served as Senior Central Officer at the Ministry of Interior, coordinating digital transformation and IT services, as well as Product Owner at Netopia Solutions, where he led IT ecosystem studies and consulting for healthcare institutions. He has also contributed to Afrihealth Solutions as a software engineer, implementing hospital information systems across multiple regions. His research interests include AI integration in patient-centered healthcare, enterprise architecture in oncology, bioinformatics, and healthcare digital transformation. Mr. Bout possesses advanced skills in artificial intelligence and machine learning (deep learning, NLP, computer vision), algorithms and programming (C, C++, Python, JavaScript, PHP, Django), system design and architecture (TOGAF, UML, ArchiMate), project management frameworks (Agile, SCRUM, KANBAN), database management (SQL, PostgreSQL, Oracle DB), and bioinformatics tools, alongside strong communication and organizational abilities. He has an extensive publication record in reputed journals and conferences, including Discover Internet of Things, IJECE, Springer Lecture Notes, and ISDA proceedings, with citations by 1 document, 1 document, and an h-index reflecting his scholarly impact. He actively participates in professional societies as a reviewer for TELKOMNIKA, Digital Health, Cyber-physical Systems, and Network Modeling Analysis in Health Informatics and leads social inclusion initiatives through e-MOBADARA. Awards and honors include international conference recognitions and certifications in project management, scientific publishing, and bioinformatics training. In conclusion, Mr. Bout demonstrates exceptional interdisciplinary expertise, leadership, and scholarly influence, with strong potential to advance global research in AI-driven healthcare systems, mentor emerging researchers, and contribute to high-impact publications, international collaborations, and societal development through innovative healthcare technologies.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Bout, N., Khazaz, R., Azougaghe, A., El-Hfid, M., Abik, M., & Belhadaoui, H. (2021). Implementation of the business process model and notation in the modelling of patient’s clinical workflow in oncology. International Conference on Intelligent Systems Design and Applications, 576–586. Citations: 2

  2. Bout, N., Moukhliss, G., Belhadaoui, H., Afifi, N., & Abik, M. (2025). Integrating emotional AI, IoT, and robotics for patient-centered healthcare: Challenges and future directions. Discover Internet of Things, 5(75), 18. Citations: 1

  3. Bout, N., Azougaghe, A., Belhadaoui, H., El-Hfid, M., & Khazaz, R. (2022). Business process model and notation implemented in the hospital, any use? Case of the patient clinical workflow. Journal of Network and Innovative Computing, 10, 8–8. Citations: 1

  4. Bout, N., Ouzayd, F., & Retmi, K. (2025). Erratum for Role of Hospital Digital Services in Improvement of Clinical Regime of Patients [Health Tech Asmnt Act. 2021; 5(1)]. Health Technology Assessment in Action.

  5. Bout, N., Belhadaoui, H., Afifi, N., Abik, M., El-Hfid, M., & Azougaghe, A. (2025). Towards a standardized enterprise architecture: Enhancing decision-making in oncology multidisciplinary team meetings. International Journal of Electrical and Computer Engineering (IJECE), 15(2), 2224–2236.

 

Zhihui Zhao | Medicine | Best Researcher Award

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Dr. Zhihui Zhao | Medicine | Best Researcher Award

Student | Shanghai Jiao Tong University School of Nursing | China

Dr. Zhihui Zhao is a distinguished researcher in nursing and public health whose academic journey began with a Bachelor of Science in Nursing from Zhengzhou University in 2020, followed by a Master of Science in Nursing from the School of Nursing, Wuhan University, completed in 2023; during her master’s studies she served as party branch secretary of graduate students and earned high academic distinction with a GPA of around 3.71/4.00. Professionally, she has been deeply involved in multiple research projects in Wuhan, China, including longitudinal studies of infertility-related stress among women undergoing IVF-ET, predictive model development for antenatal depression and fertility intention under demographic policy change, and systematic reviews/meta-analyses of co-parenting effects on breastfeeding, as well as implementation evaluation of clinical practice guidelines and team-cooperation training in hospitals. Her research interests lie in maternal and child health, psychosocial stressors in infertile or expectant populations, guideline implementation, mental health in perinatal and undergraduate populations, and breastfeeding promotion within ecological and social systems. She has developed skills in statistical modelling, clinical prediction modeling, meta-analysis (RevMan), use of software tools like SPSS, Weka, Mplus, qualitative and quantitative mixed-methods designs, evidence-based practice, and guideline evaluation. Among her awards and honours are multiple first-prize excellent academic scholarships at both Wuhan and Zhengzhou Universities, recognition as excellent student leader, university-level honours for social practice, and competition prizes including in Cochrane China evidence translation. She also holds a utility model patent (Patent No. ZL 2019 2 1461667.6) and serves as a reviewer for Frontiers in Psychiatry. In terms of citation metrics: according to ResearchGate and other public sources, her published works affiliated with Wuhan University have accumulated dozens of citations (for example, her systematic review on co-parenting and breastfeeding has been cited ≈ 12 times, and individual meta-analysis & survey works registered in BMC Medical Education and Nutrients have significant visibility); although a precise Scopus h-index for Dr. Zhi-Hui Zhao is not publicly confirmed in the sources accessed, the available document counts are in the range of 8-12 indexed works with her as first or co-author, with citation counts roughly in the tens across those documents. Through her strong publication record, leadership roles, and research skills, Dr. Zhao has established herself as an emerging leader in her field, with significant capacity for future high-impact work in maternal health, psychosocial interventions, and evidence-based guideline implementation.

Profile: ORCID 

Featured Publications

1. Zhao, Z., Qu, F., Wu, R., Wei, X., Song, X., Wu, C., Wang, J., Hua, W., & Zhu, D. (2025). The longitudinal influence of parent–grandparent coparenting relationships on preschoolers’ eating behaviors in Chinese urban families: The mediating roles of caregivers’ feeding behaviors. Nutrients, 17(18), 2961.

2. Zhao, Z., et al. (2022). Perceived social support and professional identity in nursing students during the COVID-19 pandemic era: The mediating effects of self-efficacy and the moderating role of anxiety. BMC Medical Education. Citations: ~35

3. Zhao, Z., et al. (2022). Co-parenting and breastfeeding effects: Systematic review and meta-analysis. Breastfeeding Medicine. Citations: ~12

4. [Lead author], [others], & Zhao, Z. (2023). Attitudes and knowledge of palliative care of Chinese undergraduate nursing students: A multi-center cross-sectional study. Nurse Education Today. Citations: ~10

5. Jin, Y.-H., Zhao, Z., Huang, C., et al. (2022). Development and validation evaluation of the implementation evaluation tools of clinical practice guidelines. The Chinese Journal of Evidence-Based Medicine, 22(1), 111-119.Citations: ~5

 

 

Jiatao Ding | Robotics and Automation | Best Researcher Award

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Dr. Jiatao Ding | Robotics and Automation | Best Researcher Award

Postdoctoral Researcher | University of Trento | Italy

Dr. Jiatao Ding is an accomplished robotics researcher whose work focuses on optimal control, robot learning, and legged robotics, with a strong record of international collaborations and impactful scientific contributions. He obtained his Bachelor’s degree in Mechanical Engineering from Wuhan University in 2014 (Cum Laude), followed by a Doctorate in Mechatronics Engineering from Wuhan University in 2020, during which he also served as a Ph.D. Fellow at the Italian Institute of Technology (2018–2020), gaining valuable international exposure. Professionally, Dr. Ding has held prestigious research appointments including Research Assistant Scientist at the Chinese University of Hong Kong (2020–2022), Postdoctoral Researcher at Delft University of Technology (2022–2025), and currently, Postdoctoral Researcher at the University of Trento, Italy (2025–present). His research interests lie in humanoid and quadruped locomotion, reinforcement learning, and bio-inspired robotic control, where he has actively contributed to major EU H2020 projects such as Inverse, Nature Intelligence, and CogIMon, along with NSFC-funded projects in China. Dr. Ding’s research skills span advanced reinforcement learning, trajectory optimization, hierarchical and model predictive control, and adaptive locomotion strategies, which have enabled breakthroughs in versatile bipedal and quadrupedal robotic systems. His scholarly output is extensive, with publications in flagship robotics venues such as IEEE ICRA, IROS, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, and Advanced Robotics, reflecting both quality and global reach. He has served the academic community as a reviewer for leading journals and conferences, session chair at AIM 2025, associate editor at UR 2025, and guest editor for special issues in reputed journals, demonstrating leadership and commitment to advancing robotics research. His awards and honors include invited talks, editorial board appointments, and recognition through collaborative project leadership across Europe and Asia. According to Scopus, Dr. Ding has achieved 262 citations across 241 documents with an h-index of 11, underscoring both productivity and research impact. In conclusion, Dr. Jiatao Ding exemplifies an emerging global leader in robotics whose academic excellence, technical expertise, and dedication to collaborative research position him strongly for future innovations in intelligent robotic systems, making him a deserving candidate for international recognition.

Profile: Google Scholar

Featured Publications

Atanassov, V., Ding, J., Kober, J., Havoutis, I., & Della Santina, C. (2024). Curriculum-based reinforcement learning for quadrupedal jumping: A reference-free design. IEEE Robotics & Automation Magazine, 32(2), 35–48. Citations: 24

Ding, J., Han, L., Ge, L., Liu, Y., & Pang, J. (2022). Robust locomotion exploiting multiple balance strategies: An observer-based cascaded model predictive control approach. IEEE/ASME Transactions on Mechatronics, 27(4), 2089–2097. Citations: 24

Ding, J., Wang, Y., Yang, M., & Xiao, X. (2018). Walking stabilization control for humanoid robots on unknown slope based on walking sequences adjustment. Journal of Intelligent & Robotic Systems, 90(3), 323–338. Citations: 16

Ding, J., Zhou, C., Xin, S., Xiao, X., & Tsagarakis, N. G. (2021). Nonlinear model predictive control for robust bipedal locomotion: Exploring angular momentum and CoM height changes. Advanced Robotics, 35(18), 1079–1097. Citations: 26*

Ding, J., Atanassov, V., Panichi, E., Kober, J., & Della Santina, C. (2024). Robust quadrupedal jumping with impact-aware landing: Exploiting parallel elasticity. IEEE Transactions on Robotics, 40(1), 3212–3231. Citations: 13

Huiyi Xia | Mathematics | Best Researcher Award

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Dr. Huiyi Xia | Mathematics | Best Researcher Award

Associate Professor | Nanfang College of Sun Yat-sen University | China

Dr. Huiyi Xia is a dedicated academic and researcher in the fields of mathematics and statistics, with a career rooted in both teaching and scholarly research. She began her academic journey with a Bachelor of Science degree in Mathematics from Anhui University, China, in 1992, and later continued at the same institution to earn a Master of Science degree in Mathematics in 2006. Pursuing advanced research, she completed her Ph.D. in Statistics and Management at the Shanghai University of Finance and Economics in 2016, where she developed a strong foundation in statistical modeling, data analysis, and applied mathematics. Currently, she is engaged in teaching and research at Nanfang College, where her professional experience reflects a balance of pedagogy, mentorship, and contributions to academic scholarship. Her research interests span across applied mathematics, statistics, and their applications in management sciences, with a focus on quantitative approaches to problem-solving and data interpretation. Over the years, Dr. Xia has cultivated valuable research skills, including statistical modeling, data-driven analysis, mathematical computation, and academic writing, enabling her to contribute meaningfully to both theoretical and applied dimensions of her discipline. She has also demonstrated the ability to collaborate effectively on research projects, contributing to knowledge development and student training. Though at an early stage of her international academic recognition, her work has been published in peer-reviewed and Scopus-indexed journals, with her efforts contributing to global academic discourse in mathematics and statistics. While no major awards and honors have yet been recorded, her steady research output, dedication to teaching, and involvement in academic development at Nanfang College highlight her as a promising scholar with potential for broader recognition. In conclusion, Dr. Huiyi Xia’s career reflects perseverance, scholarly dedication, and a commitment to advancing both mathematical sciences and higher education. With continued focus on Q1 journal publications, expanding international collaborations, and involvement in professional academic societies, she is well-positioned to enhance her research impact and leadership in the academic community. Scopus record: 2 citations by 2 documents, 4 total documents, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publication

  • Xia, H., Xu, J., & Wen, D. (2025). The impact of large models’ success on data modeling. In Proceedings of the 2025 International Conference on Digital Economy and Information Systems (DEIS). ACM

 

Albert Minkevich | Physics | Best Researcher Award

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Prof. Dr. Albert Minkevich | Physics | Best Researcher Award

Senior Professor | Belarusian State University | Belarus

Prof. Dr. Albert Vitoldovich Minkevich, born in 1941 in Minsk, Belarus, is a distinguished theoretical physicist whose lifelong academic journey has been dedicated to advancing the frontiers of gravitation and cosmology. He completed his higher education at the Belarusian State University, graduating with honors in Theoretical Physics in 1963, and went on to earn his Ph.D. in 1970 with a thesis on the interaction of gravitational and other physical fields. He further achieved the prestigious Doctor of Physical and Mathematical Sciences degree in 1986 for his groundbreaking work on the gauge approach in gravitation theory. Over the course of his academic career, he advanced from Assistant Lecturer to Full Professor at the Faculty of Physics, Belarusian State University, and also served internationally as a professor at the University of Boumerdès in Algeria (1988–1992) and at the University of Warmia and Mazury in Poland (2000–2015). His research interests lie at the intersection of gravitation, cosmology, and astrophysics, with a focus on applying variational methods and gauge theories to solve fundamental problems such as the cosmological singularity, dark matter, dark energy, and the accelerated expansion of the universe. His pioneering contributions include the development of isotropic cosmological models in Riemann-Cartan space-time, which eliminate singularities and propose alternatives to dark energy explanations, as well as insights into gravitational repulsion and torsion effects in astrophysical systems. Professor Minkevich’s research skills span advanced mathematical physics, including group theory, tensor analysis, differential geometry, and differential equations, which he has effectively applied to cosmological modeling and gravitational theory. He has authored more than 200 peer-reviewed publications, delivered invited talks at leading international conferences across Europe, Asia, and the Americas, and supervised numerous doctoral theses that extended his legacy in theoretical physics. Throughout his illustrious career, he has served as an editorial board member and reviewer for leading journals, played active roles in program committees of prestigious global conferences such as the Marcel Grossmann Meetings, and maintained long-standing collaborations with research institutions across Poland, Germany, France, the USA, and Vietnam. His honors include election to the European Academy of Sciences (Belgium) in 2002, in recognition of his outstanding contributions to theoretical physics and cosmology. Professor Minkevich’s lifelong commitment to advancing knowledge, mentoring future scientists, and contributing to international collaborations underscores his standing as a globally respected scholar. Scopus Citations by 165 documents, 30 Documents, h-index 11.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Minkevich, A. V. (1980). Generalised cosmological Friedmann equations without gravitational singularity. Physics Letters A, 80(4), 232–234. Citations: 118

2. Minkevich, A. V., Garkun, A. S., & Kudin, V. I. (2007). Regular accelerating universe without dark energy in Poincaré gauge theory of gravity. Classical and Quantum Gravity, 24(23), 5835. Citations: 81

3. Minkevich, A. V. (2009). Accelerating Universe with spacetime torsion but without dark matter and dark energy. Physics Letters B, 678(5), 423–426. Citations: 62

4. Minkevich, A. V., & Garkun, A. S. (2006). Analysis of inflationary cosmological models in gauge theories of gravitation. Classical and Quantum Gravity, 23(12), 4237. Citations: 52

5. Minkevich, A. V. (1983). Generalised cosmological Friedmann equations and the de Sitter solution. Physics Letters A, 95(8), 422–424. Citations: 39

sainand jadhav | Mechanical Engineering | Emerging Researcher Award

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Dr. Sainand Jadhav | Mechanical Engineering | Emerging Researcher Award

Assistant Professor | Kennesaw State University | United States

Dr. Sainand M. Jadhav is an accomplished emerging researcher in the field of Mechanical Engineering, specializing in additive manufacturing, advanced materials, and welding technologies. He earned his Ph.D. in Mechanical Engineering from Tennessee Technological University, USA, in 2024, after completing his Master’s and Bachelor’s degrees in Mechanical Engineering in India. His doctoral research primarily focused on wire arc additive manufacturing (WAAM) of refractory alloys and the development of bimetallic structures with tailored properties for industrial applications. With over thirteen years of academic involvement and three and a half years of concentrated research, he has gained significant international experience through collaborations with Oak Ridge National Laboratory, USA, and leading research institutes in South Korea. Professionally, Dr. Jadhav has served as a faculty member and mentor, imparting knowledge in mechanical design, manufacturing, and materials engineering while actively guiding student research projects. His research interests include metal additive manufacturing, WAAM of refractory and high-temperature alloys, bimetallic structures, materials characterization, and the development of sustainable and advanced manufacturing processes. He possesses strong research skills in process optimization, alloy design, computational modeling, and advanced characterization techniques, complemented by hands-on expertise in welding, fabrication, and mechanical testing. Dr. Jadhav has authored impactful publications in globally recognized journals such as Additive Manufacturing, International Journal of Refractory Metals and Hard Materials, Virtual and Physical Prototyping, and IEEE conferences, reflecting both the quality and relevance of his work. His growing reputation has also been supported by invitations to participate in collaborative projects, workshops, and academic exchanges. He has been recognized with prestigious honors, including research fellowships, scholarships, and awards that highlight his contributions to the advancement of metal additive manufacturing. As an educator and mentor, he continues to inspire young engineers and researchers to explore sustainable manufacturing and innovative material solutions. Looking ahead, Dr. Jadhav aims to expand his international collaborations, publish in high-impact Q1 journals, and participate in global conferences as a keynote speaker, thereby contributing further to the field of additive manufacturing and materials science. His career trajectory demonstrates a blend of academic dedication, technical expertise, and research innovation that positions him as a future leader in advanced manufacturing. According to Scopus, his research output includes 15 documents with 105 citations by 83 documents and an h-index of 6, reflecting the growing influence and recognition of his scholarly work.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Karim, D. M. A., Jadhav, S., Kannan, R., Pierce, D., & Yousub, … (2024). Investigating stainless steel/aluminum bimetallic structures fabricated by cold metal transfer (CMT)-based wire-arc directed energy deposition. Additive Manufacturing, 81, 104015. Citations: 37

  2. Shin, S.-J., Lee, J.-H., & Jadhav, S. (2023). Material-adaptive anomaly detection using property-concatenated transfer learning in wire arc additive manufacturing. International Journal of Precision Engineering and Manufacturing. Citations: 26

  3. Shin, S.-J., Hong, S.-H., & Jadhav, S. (2023). Detecting balling defects using multisource transfer learning in wire arc additive manufacturing. Journal of Computational Design and Engineering, 10(4), 1423–1442. Citations: 19

  4. Mohite, D. D., & Jadhav, S. (2016). An investigation of effect of dressing parameters for minimum surface roughness using CNC cylindrical grinding machine. Euro Asia Research and Development Association, 6(6). Citations: 18

  5. Swami, S. A., Jadhav, S., & Deshpande, A. (2016). Influence of MIG welding process parameters on tensile properties of mild steel. European Journal of Engineering and Technology Research, 1(2), 1–5. Citations: 16

Ting Ren | Renewable Energy | Best Researcher Award

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Assist. Prof. Dr. Ting Ren | Renewable Energy | Best Researcher Award

Assistant Research Fellow | University of Chinese Academy of Sciences | China

Assist. Prof. Dr. Ting Ren is an accomplished researcher in the field of thermal engineering and intelligent energy systems, currently serving as an Assistant Research Fellow at the Institute of Electrical Engineering, Chinese Academy of Sciences. She earned her Ph.D. in Thermal Engineering from North China Electric Power University in 2017, following a strong academic foundation that equipped her with expertise in energy conversion and system optimization. Upon completion of her doctorate, she immediately joined the Chinese Academy of Sciences, where she has been actively engaged in advanced research and international collaborations focusing on energy storage, power system operations, and smart optimization strategies. Her professional experience reflects a consistent dedication to addressing global energy challenges, particularly in integrating renewable energy with storage technologies, enhancing system efficiency, and applying artificial intelligence and machine learning for predictive modeling, dispatch strategies, and real-time performance enhancement of power grids. Dr. Ren’s research interests lie in the areas of energy storage technologies, renewable energy systems, optimization methods, and the application of machine learning in thermal and power systems, all of which contribute to advancing sustainable and efficient energy solutions for society. She has developed advanced research skills in system modeling, optimization algorithms, big data analysis, and computational intelligence applications to energy problems, which have positioned her at the forefront of innovative research in clean energy technologies. Over the course of her career, she has published in reputed international journals and conferences, many indexed in IEEE and Scopus, and her work has received significant recognition from the scientific community. Dr. Ren’s research achievements have been acknowledged through invitations to participate in collaborative projects, recognition from peers, and contributions that strengthen the link between academia and applied industrial solutions. While her honors and awards reflect her steady progress as a leading energy researcher, her growing international visibility demonstrates her ability to translate fundamental research into impactful societal benefits. She continues to play an active role in academic mentorship, international scientific networks, and collaborative initiatives that bridge disciplines and institutions. In conclusion, Assist. Prof. Dr. Ting Ren represents a rising academic leader whose contributions to thermal engineering, energy storage, and intelligent system optimization address critical global challenges, and her future research potential promises to further advance energy innovation and sustainability at an international level. According to Scopus metrics, her research has been recognized with 194 citations by 179 documents, across 12 publications, with an h-index of 8, reflecting the quality, impact, and growing influence of her scientific contributions.

Profile: Scopus

Featured Publication

Nie, F., Ma, T., Zhang, Q., Chang, Z., Li, X., … [other authors]. (2024). Heat storage and release characteristics of a prototype CaCO₃/CaO thermochemical energy storage system based on a novel fluidized bed solar reactor. Journal of Cleaner Production, 450(5), Article 142003. This article currently has 9 citations, and as per Scopus, the author has 194 citations by 179 documents, 12 documents, and an h-index of 8.