Caroline Neuberg | Research Excellence | Best Researcher Award

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Dr. Caroline Neuberg | Research Excellence | Best Researcher Award

Leeds Trinity University | United Kingdom

Dr. Caroline Neuberg is a dedicated science educator and researcher whose career bridges physical volcanology and transformative science education. With a PhD in Physical Volcanology, international postdoctoral experience, and leadership roles in both academia and schools, she has consistently advanced innovative approaches to science teaching. Her pioneering work in establishing school seismometer networks in New Zealand and England has brought real-world research into classrooms, inspiring young learners to engage with authentic scientific inquiry. A Fellow of the Higher Education Academy and Chartered Science Teacher, she was recognized with the Royal Astronomical Society’s Sir Patrick Moore Medal for Education, underscoring her exceptional impact on science communication and education.

Profile: Orcid

Featured Publications

Neuberg, C. M. A., Davies, A., & Nourshargh, E. M. (2025). The elephant in the science staff room: An investigation into the mathematical skills and confidence of pre-service science teachers. International Journal of Science Education, 47(11), 2557601.

Zahra Amini | Emerging Technologies | Best Researcher Award

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Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint –
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.

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.