Maria Pinelli | Research Excellence | Best Researcher Award

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Dr. Maria Pinelli | Research Excellence | Best Researcher Award

Dr. Maria Pinelli | Radboud University Medical Center | Italy

Dr. Maria Pinelli is an Assistant Professor Junior (RTDa) at the Politecnico di Milano (Italy) in the Department of Management, Economics, and Industrial Engineering (ING-IND/35). Her academic and research work focuses on technological innovation in healthcare, with particular attention to Health Technology Assessment (HTA), innovation management in hospitals, and the integration of scanning and assessment processes to enhance healthcare value creation. She earned her Ph.D. from Politecnico di Milano in 2025 with a thesis titled “MedTech Innovation in Hospitals: Re-Framing the Integration between Scanning and Assessment and the Determinants of Value.” During her doctoral studies, she was a Visiting Ph.D. Student at Radboud University (Netherlands), collaborating on international research exploring hospital technology strategies. Her academic background also includes a Master’s Degree in Management Engineering with specialization in Sustainable Operations Management and Social Innovation and a Bachelor’s Degree in Industrial Engineering, both completed with honors. Dr. Pinelli has published extensively in high-impact international journals such as Health Policy, Technological Forecasting and Social Change, PLOS ONE, IEEE Journal of Translational Engineering in Health and Medicine, and IJERPH. Her works contribute to understanding the strategic, clinical, and socio-economic evaluation of medical technologies and the role of digital transformation and sustainability in healthcare systems. She has been actively involved in teaching and coordinating courses such as Innovation in Health and Social Care, Healthcare Management, and Economia e Organizzazione Aziendale at Politecnico di Milano and Humanitas University. Her contributions extend to international conferences, including EURAM, ISPOR, IPDMC, and Health Technology Assessment International, where she presented cutting-edge research on hospital innovation, inclusive healthcare technologies, and decision-making frameworks. Dr. Pinelli also serves as a reviewer for several leading journals, including the Journal of Medical Internet Research and Health Services Management Research. Beyond academia, she has contributed to practitioner conferences addressing the impact of AI and MedTech innovation in healthcare. Through her multidisciplinary expertise, international collaboration, and commitment to advancing healthcare innovation, Dr. Maria Pinelli represents a new generation of scholars bridging management engineering and medical technology for sustainable, patient-centered care.

Profiles: Google Scholar

Featured Publications 

Pinelli, M., Moglia, A., Marsilio, L., Rossi, M., Lettieri, E., Mainardi, L., & Manzotti, A. (2023). Mixed reality and artificial intelligence: A holistic approach to multimodal visualization and extended interaction in knee osteotomy. IEEE Journal of Translational Engineering in Health and Medicine, 10. https://doi.org/10.1109/JTEHM.2023.3335608

Pinelli, M., Manetti, S., & Lettieri, E. (2023). Assessing the social and environmental impact of healthcare technologies: Towards an extended social return on investment. International Journal of Environmental Research and Public Health, 20(6), 5224. https://doi.org/10.3390/ijerph20065224

Di Francesco, A., Pinelli, M., Lettieri, E., Toletti, G., & Galli, M. (2023). Towards a more inclusive society: The social return on investment (SROI) of an innovative ankle–foot orthosis for hemiplegic children. Sustainability, 15(5), 4361. https://doi.org/10.3390/su15054361

Pinelli, M., Gerardi, C., Lettieri, E., Maioru, M., Marone, L., Bertoldi, L., Navanteri, G., Costantini, M., Botti, C., & Pellini, F. (2024). Comparison of indocyanine green with conventional tracers for sentinel lymph node biopsy in breast cancer: A multidisciplinary evaluation of clinical effectiveness, safety, organizational and economic impact. PLOS ONE, 19(8), e0309336. https://doi.org/10.1371/journal.pone.0309336

Pinelli, M., Lettieri, E., Boaretto, A., Casile, C., Citro, G., Zazzaro, B., & Ravazzoni, A. (2022). Glucometer usability for 65+ type 2 diabetes patients: Insights on physical and cognitive issues. Sensors, 22(16), 6202. https://doi.org/10.3390/s22166202

Ajit Yadav | Research Excellence | Best Researcher Award

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Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Raffaele Marotta | Industry Collaboration | Young Innovator Award

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Dr. Raffaele Marotta | Industry Collaboration | Young Innovator Award

University of Naples Federico II | Baker Hughes | Italy

Dr. Raffaele Marotta is an accomplished researcher in vehicle dynamics, control systems, and AI-driven estimation, with proven academic and industrial impact. He earned his Ph.D. in Industrial Engineering (Mechatronics) with honors from the University of Naples Federico II, focusing on AI-enhanced vehicle dynamics. His career includes key roles at the Italian National Research Council (CNR), TU Ilmenau, Tenneco, ZF Group, and currently Baker Hughes, where he leads the development of advanced control algorithms for sustainable energy systems. He has contributed significantly to the European OWHEEL project, developing active chassis control and virtual sensing strategies. His research integrates Kalman filtering, neural networks, reinforcement learning, and digital twins into practical solutions for automotive and energy applications. He has published 22 documents, with 83 citations across 42 sources and an h-index of 6, reflecting strong scientific visibility and influence. His works, published in IEEE and SAE journals, include pioneering studies on wheel displacement estimation, traction force prediction, and vehicle mass estimation. International collaborations across Italy, Germany, Belgium, and Lithuania highlight his global network and impact. Recognized by Nova Talent’s top  global talent network, he also mentors young engineers in STEM leadership programs. With his blend of theoretical innovation, experimental validation, and industrial application, Dr. Marotta stands out as a promising candidate for global research excellence awards.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Multi-output physically analyzed neural network for the prediction of tire–road interaction forces”

“Deep learning for the estimation of the longitudinal slip ratio”

“Estimation of the tire-road interaction forces by using Pacejka’s formulas with combined slips and camber angles”

“Active control of camber and toe angles to improve vehicle ride comfort”

“Improvement of traction force estimation in cornering through neural network”

“Camber angle estimation based on physical modelling and artificial intelligence”

“Electric vehicle corner architecture: driving comfort evaluation using objective metrics”

“A PID-Based Active Control of Camber Angles for Vehicle Ride Comfort Improvement”

“A strain-based estimation of tire-road forces through a supervised learning approach”

“On the prediction of the sideslip angle using dynamic neural networks”

“Neural Network-Based Virtual Measurement of Road Vehicle Wheel Displacements”

“Enhancing Wheel Vertical Displacement Estimation in Road Vehicles Through Integration of Model-Based Estimator with Artificial Intelligence”

“On the measurement of unsprung mass displacement of road vehicles through a model-based virtual sensor”

“Model-Based Vehicle Mass Estimation for Enhanced Adaptive Cruise Control Performance”

Uzair Ishtiaq | Industry Collaboration | Best Industrial Research Award

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Mr. Uzair Ishtiaq | Industry Collaboration | Best Industrial Research Award

Mr. Uzair Ishtiaq | Paktex Industries | Pakistan

Mr. Uzair Ishtiaq is a dedicated biochemist with hands-on experience in enzyme bioproduction, microbial testing, and quality control processes within the medical devices industry. With expertise in QC analysis, sterilization monitoring, and tender management, he has developed strong problem-solving and team collaboration skills. His background reflects adaptability, technical proficiency, and a commitment to maintaining high-quality standards in both laboratory and industrial settings.

Academic Profile 

Orcid | Scopus

Education

Uzair Ishtiaq has pursued a strong academic foundation in the field of life sciences, beginning with a focus on pre-medical studies at Punjab College Kamoke. He later enrolled in the University of Management and Technology Lahore, initially in the BS Forensic Sciences program. Due to program restructuring, he transitioned into the BS Biochemistry program, where he completed his undergraduate studies. This academic background provided him with a solid understanding of biochemistry, microbiology, enzymology, and laboratory practices, shaping the basis for his later professional and research pursuits.

Experience

Uzair gained practical industry experience through his role as a QC Analyst at Paktex Industries Kamoke. His responsibilities included analysis of raw materials, in-process monitoring, and finished product testing for medical devices. He played a crucial role in sterility testing, microbial analysis, and monitoring the ethylene oxide sterilization process along with its biological indicators. In addition to laboratory duties, he was also actively involved in tender management, including the preparation of technical and financial bids, evaluating submissions, and addressing grievances in official meetings. His exposure to both scientific and administrative tasks demonstrates his versatility and ability to adapt across laboratory and corporate settings.

Research Interests

Uzair’s research interests lie in the fields of industrial biotechnology, enzyme production, and microbial applications. His early work focused on the bioproduction of pectinase enzyme using rotten lemon and lemon peels with Aspergillus niger through fermentation techniques, reflecting his interest in waste-to-value approaches and sustainable biotechnology. He is also interested in microbial fermentation, quality assurance in bioprocesses, and applied microbiology in industrial and medical device production. These interests highlight his passion for bridging scientific innovation with practical industry needs.

Awards

Uzair has been recognized for his dedication and contribution in academic and professional environments. His consistent performance in quality control and tender management earned him appreciation for maintaining accuracy, compliance, and efficiency in a challenging industrial setting. His ability to balance technical laboratory work with administrative responsibilities reflects a commendable achievement that has set him apart as a reliable and skilled professional.

Publications

Potent antimicrobial and antibiofilm activity of citric acid coated magnetite nanoparticles for leather preservation
Author: Amina Hayat; Asma Irshad; Uzair Ishtiaq; Qudsia Mushtaq; Alexis Spalletta; Patrick Martin; Rabbia Jawad; Tahira Batool
Journal: Scientific Reports
Year: 2025

Nature-Inspired Antimicrobial Agents: Cinnamon-Derived Copper Oxide Nanoparticles for Effective Aspergillus Niger Control
Author: Zunaira Iram; Asma Irshad; Alexis Spalletta; Rabbia Jawad; Qudsia Mushtaq; Nicolas Joly; Patrick Martin; Uzair Ishtiaq
Journal: Current Microbiology
Year: 2025

Determination of antibacterial and antioxidant potential of organic crude extracts from Malus domestica, Cinnamomum verum and Trachyspermum ammi
Author: Asma Irshad; Rabbia Jawad; Qudsia Mushtaq; Alexis Spalletta; Patrick Martin; Uzair Ishtiaq
Journal: Scientific Reports
Year: 2025

Amylase and Cellulase Production from Newly Isolated Bacillus subtilis Using Acid Treated Potato Peel Waste
Author: Qudsia Mushtaq; Uzair Ishtiaq; Nicolas Joly; J.I. Qazi; Patrick Martin
Journal: Microorganisms
Year: 2024

Bioengineering of glucan coated silver nanoparticles as dynamic biomedical compound; in vitro and in vivo studies
Author: Asma Irshad; Rabbia Jawad; S. Sharif; Nicolas Joly; Uzair Ishtiaq; Patrick Martin; Qudsia Mushtaq
Journal: Microbial Pathogenesis
Year: 2024

Conclusion

Uzair Ishtiaq’s journey reflects a unique balance of academic knowledge, industrial expertise, and research-driven innovation. His contributions to enzyme bioproduction, quality control in medical devices, and effective tender management highlight his ability to connect science with real-world applications. With continuous growth and a commitment to excellence, he emerges as a highly deserving and suitable candidate for the Best Industrial Research Award.

Chien-Hung Yeh | Research Excellence | Best Researcher Award

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Prof. Dr. Chien-Hung Yeh | Research Excellence | Best Researcher Award

Prof. Dr. Chien-Hung Yeh | Beijing Institute of Technology, China

Professor Chien-Hung Yeh, a tenured faculty member at Beijing Institute of Technology and a National High-Level Fellow, is renowned for his groundbreaking work in neuromodulation, cross-frequency coupling, and medical AI. With over 50 SCI publications, 15+ patents, and leadership in major national research projects, he has significantly advanced intelligent healthcare technologies. His collaborations span prestigious institutions like Harvard and Oxford, and his innovations influence clinical practices and brain-computer interface development. As a senior IEEE member and editorial board contributor, Professor Yeh exemplifies excellence in interdisciplinary biomedical engineering—making him a distinguished candidate for the Best Researcher Award.

Academic Profile 

ORCID, Google Scholar

Education

Professor Chien-Hung Yeh holds a distinguished academic background, earning his doctoral degree through a joint supervision program between Harvard Medical School and National Central University. This unique cross-continental academic training provided him with a rich blend of cutting-edge biomedical knowledge and rigorous technological insight. His PhD research laid the groundwork for his later innovations in neuromodulation and cross-frequency coupling, with strong emphasis on translational science bridging engineering and clinical neuroscience. His academic journey reflects both depth and global perspective, equipping him with interdisciplinary tools essential for leadership in advanced healthcare technologies.

Experience

Professor Yeh currently serves as a tenured professor at Beijing Institute of Technology, one of China’s premier research universities. Over the years, he has gained extensive experience leading major national-level research projects, including initiatives funded by the Ministry of Science and Technology of China, the National Natural Science Foundation of China (NSFC), and the Beijing Municipal Health Commission. In addition to his academic role, he is actively engaged in consultancy and industry-academia collaborations, such as with Kao Corporation and Neuracle Technology Co., Ltd. He also chairs IEEE conferences and serves as a reviewer for various high-level funding agencies including the Ministry of Industry and Information Technology and the National Science Foundation of China. His experience spans administration, research management, teaching, and policy advising, making him a key figure in biomedical innovation ecosystems.

Research Interests

Professor Yeh’s research is at the forefront of biomedical engineering, with core interests in cross-frequency coupling, neuromodulation, and artificial intelligence applications in medicine. He is internationally recognized for his pioneering work on dynamic brain signal processing, particularly in the development of algorithms for brain-computer interfaces and intelligent monitoring systems for neurological disorders. His contributions to waveform analysis and AI-driven health diagnostics have practical implications for epilepsy, Parkinson’s disease, sleep disorders, and critical care. These interests are not only intellectually rigorous but also clinically transformative, aiming to close the gap between neuroscience theory and patient-centered innovation.

Awards

Throughout his career, Professor Yeh has received numerous prestigious recognitions. He has been honored as a National High-Level Fellow in China, a designation reserved for top-tier scientists making significant contributions to strategic research areas. His projects have received substantial support from national and municipal government bodies, reinforcing the value of his work to public health and innovation policy. He has also co-led a team that was named a runner-up in the Qualcomm Tricorder XPRIZE, a global competition to develop portable diagnostic devices capable of revolutionizing healthcare delivery. This accomplishment highlights the global applicability of his research. Furthermore, Professor Yeh’s editorial roles in leading journals, including Cyborg and Bionic Systems, Applied Sciences, and BMC Medical Informatics and Decision Making, along with his membership in key professional societies such as IEEE and the Chinese Society of Biomedical Engineering, reflect the academic community’s high regard for his expertise and leadership.

Publications

Amplitude modulation multiscale entropy characterizes complexity and brain states

Author: W Shi, H Feng, X Zhang, CH Yeh
Journal: Chaos, Solitons & Fractals
Year: 2023

A novel measure of cardiopulmonary coupling during sleep based on the synchrosqueezing transform algorithm 

Author: Y Wang, W Shi, CH Yeh
Journal: IEEE journal of biomedical and health informatics
Year: 2023

Waveform changes with the evolution of beta bursts in the human subthalamic nucleus

Author: CH Yeh, B Al-Fatly, AA Kuehn, AC Meidahl, G Tinkhauser, H Tan,
Journal: Clinical neurophysiology
Year: 2020

Generalized multiscale Lempel–Ziv complexity of cyclic alternating pattern during sleep

Author: CH Yeh, W Shi
Journal: Nonlinear Dynamics
Year: 2018

A comparison study on stages of sleep: Quantifying multiscale complexity using higher moments on coarse-graining

Author: W Shi, P Shang, Y Ma, S Sun, CH Yeh
Journal: Communications in Nonlinear Science and Numerical Simulation
Year: 2017

Quantifying spasticity with limited swinging cycles using pendulum test based on phase amplitude coupling

Author: CH Yeh, HWV Young, CY Wang, YH Wang, PL Lee, JH Kang, MT Lo
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2016

Spurious cross-frequency amplitude–amplitude coupling in nonstationary, nonlinear signals

Author: CH Yeh, MT Lo, K Hu
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2016

On the computational complexity of the empirical mode decomposition algorithm 

Author: YH Wang, CH Yeh, HWV Young, K Hu, MT Lo
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2014

Conclusion

Professor Chien-Hung Yeh exemplifies the ideal candidate for the Best Researcher Award through his high-impact publications, transformative research, interdisciplinary expertise, and technological innovations. His leadership in both academic and applied research domains, coupled with international collaborations and continuous contributions to scientific advancement, makes him a deserving recipient of this recognition.