Shohei Katsuya | Research Excellence | Excellence in Research

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Mr. Shohei Katsuya | Research Excellence | Excellence in Research

Mr. Shohei Katsuya | Advanced Technology Laboratories, OSAKA GAS Co., Ltd. | Japan

Shohei Katsuya is a dedicated Researcher at the Advanced Technology Laboratories of OSAKA GAS Co., Ltd., where he specializes in cutting-edge metabolic and nutritional research. He holds a Master of Agriculture degree from Kyoto University, completed in March 2021, and has since been actively involved in advanced investigations centered on the physiological functions and health impacts of beta-hydroxybutyrate (BHB). Since joining Osaka Gas in April 2021, Katsuya has contributed significantly to a series of clinical and biochemical studies exploring the therapeutic potential of BHB, a key ketone body known for its roles in metabolism, energy utilization, and physiological regulation. His research focuses on understanding the metabolic pathways and physiological effects of BHB in humans, with applications ranging from obesity reduction to improved sleep quality and metabolic health. He has authored five peer-reviewed publications between 2023 and 2025 in reputable journals including Obesities, Journal of Nutritional Science and Vitaminology, Bioscience, Biotechnology, and Biochemistry, and Nutrition. These works include randomized, double-blind, placebo-controlled clinical trials investigating the effects of D-BHB on body fat reduction, sleep quality enhancement, and its safety profile in humans and animal models. Additionally, he contributed to a collaborative study demonstrating BHB’s protective effects on diabetic renal and muscular pathologies.Katsuya’s publications have collectively received 18 citations and earned an h-index of 2 according to Scopus, reflecting the emerging impact of his work within the nutritional and biochemical sciences. His ongoing projects continue to deepen scientific understanding of BHB as a functional metabolite with potential applications in health optimization, disease prevention, and metabolic regulation. Through his work, Shohei Katsuya is advancing evidence-based insights that contribute to both academic knowledge and practical applications in human health research.

Profile: Orcid

Featured Publications

Katsuya, S., Kawata, Y., Kawamura, J., Goto, T., Takara, T., & Tsubota, J. (2025). Effect of D-β-hydroxybutyric acid on body fat in Japanese adults: A randomized, double-blind, placebo-controlled study. Obesities, 5(4), 82. https://doi.org/10.3390/obesities5040082

Aisyah, R., Katsuya, S., Miyata, K., Chen, Z., Horii, M., Kudo, A., Kumrungsee, T., Tsubota, J., & Yanaka, N. (2025). β-Hydroxybutyrate attenuates diabetic renal and muscular pathologies in a streptozotocin-induced diabetic model. Nutrition, Article 112792. https://doi.org/10.1016/j.nut.2025.112792

Katsuya, S., Kawata, Y., Kawamura, Y., Kawamura, J., & Tsubota, J. (2025). Effect of d-β-hydroxybutyrate on sleep quality in healthy participants: A randomized, double-blind, placebo-controlled study. Bioscience, Biotechnology, and Biochemistry, 89(5), 769–775. https://doi.org/10.1093/bbb/zbaf017

Katsuya, S., Kawata, Y., Sugimoto, M., Nishimura, T., & Tsubota, J. (2024). Determination of the safety of Halomonas sp. KM-1-derived d-β-hydroxybutyric acid and its fermentation-derived impurities in mice and Japanese adults. Bioscience, Biotechnology, and Biochemistry, 88(9), 1073–1080. https://doi.org/10.1093/bbb/zbae088

Ip, C.-H., Higuchi, H., Wu, C.-Y., Okuda, T., Katsuya, S., Ogawa, J., & Ando, A. (2024). Production of docosahexaenoic acid by a novel isolated Aurantiochytrium sp. 6-2 using fermented defatted soybean as a nitrogen source for sustainable fish feed development. Bioscience, Biotechnology, and Biochemistry, 88(5), 872–881. https://doi.org/10.1093/bbb/zbae035

Katsuya, S., Kawata, Y., Goto, T., & Tsubota, J. (2023). Daily intake of D-β-hydroxybutyric acid (D-BHB) reduces body fat in Japanese adult participants: A randomized, double-blind, placebo-controlled study. Journal of Nutritional Science and Vitaminology, 69(2), 121–128. https://doi.org/10.3177/jnsv.69.121

Lian-Wang Guo | Innovation Impact | Best Researcher Award

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Dr. Lian-Wang Guo | Innovation Impact | Best Researcher Award

Dr. Lian-Wang Guo | University of Virginia | United States

The Guo Lab at the University of Virginia investigates the fundamental and translational biology of vascular wall remodeling and retinal degeneration, with a central focus on how epigenetic mechanisms drive pathological cell-state transitions. Specifically, the group studies the roles of histone-code “readers” and “writers” in orchestrating chromatin dynamics that contribute to disease progression. By dissecting how these epigenetic regulators influence cellular phenotypes, the lab seeks to identify novel therapeutic targets capable of preventing or reversing harmful remodeling processes. A major emphasis of the lab’s work is bridging mechanistic discoveries with translational innovation. Their research pipeline spans from uncovering basic molecular dysfunctions to engineering practical therapeutic interventions. For instance, the Guo Lab investigates the epigenetic underpinnings of vascular wall thickening and stenosis following surgical procedures such as vein grafting and angioplasty. These studies illuminate how chromatin dysregulation contributes to post-surgical complications and guides the development of targeted therapeutic strategies. In parallel, the lab collaborates with surgeons and bioengineers to design precision delivery systems for chromatin-modulating “epi-drugs.” One pioneering approach involves the creation of bio-adhesive nanoparticles engineered to be “painted” directly onto vein grafts, aiming to preserve long-term graft patency. Another strategy focuses on combating restenosis after angioplasty by developing injectable biomembrane-camouflaged carriers capable of homing in on vascular lesions. These cutting-edge delivery systems enhance therapeutic specificity and minimize off-target effects, accelerating the translation of epigenetic therapies into clinically viable solutions. The lab’s innovative research direction has resulted in multiple approved and pending patents, demonstrating its impact at both scientific and translational fronts. Ultimately, the Guo Lab strives to solve critical medical challenges by targeting dysregulated epigenetic mechanisms and ensuring a seamless continuum from mechanistic discovery to therapeutic application.

Profile: Google Scholar

Featured Publications

Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., … (2021). Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy, 17(1), 1–382.

Kumar, A., D’Souza, S. S., Moskvin, O. V., Toh, H., Wang, B., Zhang, J., Swanson, S., … (2017). Specification and diversification of pericytes and smooth muscle cells from mesenchymoangioblasts. Cell Reports, 19(9), 1902–1916.

Yu, Q., Wang, B., Chen, Z., Urabe, G., Glover, M. S., Shi, X., Guo, L.-W., Kent, K. C., & Li, L. (2017). Electron-transfer/higher-energy collision dissociation (EThcD)-enabled intact glycopeptide/glycoproteome characterization. Journal of the American Society for Mass Spectrometry, 28(9), 1751–1764.

Borck, P. C., Guo, L.-W., & Plutzky, J. (2020). BET epigenetic reader proteins in cardiovascular transcriptional programs. Circulation Research, 126(9), 1190–1208.

Goel, S. A., Guo, L.-W., Liu, B., & Kent, K. C. (2012). Mechanisms of post-intervention arterial remodelling. Cardiovascular Research, 96(3), 363–371.

Zent, J., & Guo, L.-W. (2018). Signaling mechanisms of myofibroblastic activation: Outside-in and inside-out. Cellular Physiology and Biochemistry, 49(3), 848–868.

DiRenzo, D. M., Chaudhary, M. A., Shi, X., Franco, S. R., Zent, J., Wang, K., Guo, L.-W., … (2016). A crosstalk between TGF-β/Smad3 and Wnt/β-catenin pathways promotes vascular smooth muscle cell proliferation. Cellular Signalling, 28(5), 498–505.

Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

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Assoc. Prof. Dr. Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

This research portfolio centers on advancing space thermal control and cryogenic refrigeration technologies, with significant emphasis on precision temperature management, lightweight system design, and enhanced performance for scientific payloads in orbit. The work covers key technological domains such as flexible heat transfer, thermal matching for low-temperature devices, insulation support structures, contamination control, and integrated thermal–mechanical engineering for spacecraft. A major focus of the research involves developing high-precision low-temperature control systems for space missions, enabling stable operation of sensitive optical payloads in complex orbital environments. Through comprehensive mastery of mechanics, thermodynamics, electromagnetics, and automated temperature regulation, several critical engineering challenges were overcome. These include improving temperature stability, reducing micro-vibration output, and optimizing thermal interfaces for high-performance detection instruments. The resulting technologies enhanced the scientific capabilities of spaceborne payloads and earned recognition from international experts in spacecraft engineering. Another central contribution lies in the development of lightweight pulse tube cryocoolers for space applications. Under major scientific and engineering programs, extensive basic and applied studies were conducted to design and optimize compact refrigeration systems. A series of prototypes was successfully built, achieving significant reductions in mass while preserving cooling capacity, operational lifespan, and structural robustness. These innovations contribute to next-generation spacecraft refrigeration solutions, supporting advanced astronomical observations and deep-space scientific missions. The research integrates theoretical modeling, high-frequency performance analysis, experimental verification, and system-level optimization. Publications include studies on coaxial and single-stage pulse tube cryocoolers, micro-scale units capable of reaching extremely low temperatures, inertance tube phase-shifting characteristics, multi-cold-finger systems, and thermo-mechanical behavior of cryogenic components. The work has appeared in leading scientific journals and international conferences covering thermal engineering, cryogenics, refrigeration science, and astronomical instrumentation. Collectively, these contributions advance cutting-edge cryogenic and thermal control technologies essential to modern space science, supporting higher-accuracy payloads, more efficient cooling solutions, and improved performance of future spacecraft systems.

Profile: Scopus

Featured Publications

Liu, C., Tian, B., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Experimental investigation of a single-stage micro pulse tube cryocooler operating at 59 Hz with liquid nitrogen precooling: Achieving 14.8 K under 5 W input power. International Journal of Refrigeration.

Tian, B., Liu, C., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Investigation on a micro pulse tube cryocooler operating at 152 Hz. Cryogenics.

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Yong Liu | Research Excellence | Innovative Research Award

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Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

Profile: Orcid

Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1

Guangqin Li | Innovation Impact | Best Researcher Award

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Prof. Guangqin Li | Innovation Impact | Best Researcher Award

Prof. Guangqin Li | Anhui University of Finance & Economics | China

Dr. Guangqin Li began his academic journey with a doctorate in Urban Economics and Management from Shanghai University of Finance and Economics and now serves as a professor and master’s supervisor at Anhui University of Finance & Economics. With deep research interests in the digital economy, industrial economy, environmental economy, and regional economy, he has established himself as a versatile scholar bridging theoretical insights and empirical applications. His bibliometric profile reflects 37 published documents, 1,847 citations from 1,765 citing documents, and an h-index of 18, underscoring his growing impact within the academic community. His publications span studies on the green transformation of industry, the interface of urban innovation and infrastructure investment, and the spatial dynamics of economic development. He has contributed extensively through consultancy projects and collaborations with industry and regional authorities and serves on editorial boards of key journals in his fields. His research output has helped inform policy discussions on how new infrastructure investment can catalyze innovation in cities, particularly by influencing talent agglomeration and economic clustering. Poised at the cutting edge of his disciplines, he continues to mentor rising scholars and engage in interdisciplinary work, positioning his future contributions to shape the intersection of digitalization, regional growth, and sustainability.

Profiles: Scopus | Orcid 

Featured Publications 

Zhang, B., & Li, G. (2025). New infrastructure special debt, agglomeration and urban innovation: Evidence from China. Economic Modelling.

Liu, W., & Li, G. (2025). Sci-tech finance and urban entrepreneurial activity: Evidence from China. Economic Change and Restructuring.

Li, G., & Niu, W. (2025). How does fintech promote urban innovation? Empirical evidence from China. Economic Change and Restructuring.

Fang, X., Liu, M., & Li, G. (2024). Can the green credit policy promote green innovation in enterprises? Empirical evidence from China. Technological and Economic Development of Economy.

Li, G., Jin, Y., & Gao, X. (2023). Digital transformation and pollution emission of enterprises: Evidence from China’s micro-enterprises. Energy Reports.

Kristine Hallisy | Innovation Impact | Best Researcher Award

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Assoc. Prof. Dr. Kristine Hallisy | Innovation Impact | Best Researcher Award

Assoc. Prof. Dr. Kristine Hallisy | University of WI-Madison | United States

Dr. Kristine Marie (Kristi) Hallisy, PT, DSc, is an Associate Professor (CHS) in the Department of Family Medicine and Community Health at the University of Wisconsin–Madison School of Medicine and Public Health. She plays a pivotal role in the Doctor of Physical Therapy Program, where she integrates clinical expertise with innovative teaching practices. Dr. Hallisy’s professional focus lies in advancing physical therapy education, promoting evidence-based practice, and fostering interprofessional collaboration. Her research interests include clinical education models, patient-centered care, and strategies for enhancing student learning and professional identity formation. With years of academic and clinical experience, she has contributed to shaping future healthcare professionals through mentorship and curriculum development. She is actively involved in institutional service and community outreach initiatives that strengthen health education and practice. Dr. Hallisy has presented her work at national and international conferences and has published in peer-reviewed journals related to physical therapy and health sciences education. She emphasizes compassionate, ethical, and holistic approaches to healthcare delivery. Her leadership reflects a deep commitment to improving health outcomes and educational quality. Known for her collaborative spirit, she bridges the gap between research and clinical practice. Dr. Hallisy continues to inspire excellence among students, educators, and practitioners alike.

Profile: Orcid

Featured Publications

Salihu, E. Y., Hallisy, K., Baidoo, S., Malta, J. S., Ferrill, C., Melgoza, F., Sandretto, R., Culotti, P. C., & Chewning, B. (2025). Feasibility and acceptability of a “Train the Leader” model for disseminating Tai Chi Prime with fidelity in African American/Black and Latinx communities: A pilot mixed-methods implementation study. Healthcare, 13(20), 2622. https://doi.org/10.3390/healthcare13202622

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.