Sargis Ter-Avetisyan l Quantitative Research | Research Excellence Award

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Prof. Sargis Ter-Avetisyan l Quantitative Research | Research Excellence Award

ELI-NP | Romania

Prof. Sargis Ter-Avetisyan is a Senior Research Fellow at ELI-NP specializing in relativistic, ultra-high intensity laser-plasma interactions, x-ray generation, and particle acceleration. He earned his PhD in Physics (Optics) in 1991 and graduated from Yerevan State University in 1984. His professional experience spans leadership and research roles at ELI-ALPS, Gwangju Institute of Science and Technology, ELI-Beamlines, Queens University Belfast, and Max Born Institute, with notable achievements in laser-driven mono-energetic ions, collimation of proton bursts, and particle beam diagnostics. Prof. Sargis Ter-Avetisyan has published extensively, holds a patent, supervised students, and led multiple international research grants, contributing significantly to high-energy density physics.

Citation Metrics (Scopus)

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Tebogo Tsele-Tebakang | Social Impact | Research Excellence Award

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Dr. Tebogo Tsele-Tebakang | Social Impact | Research Excellence Award

 University of Johannesburg – Doornfontein Campus | South Africa

Dr. Tebogo Tsele-Tebakang is a distinguished homoeopath and academic with a Doctorate in Homoeopathy (2022) and advanced degrees in the field. She has extensive professional experience as a lecturer, head clinician, acting head, and head of the Department of Complementary Medicine at a leading university. Her research focuses on homoeopathy, complementary medicine, antimicrobial studies, and patient satisfaction, supervising numerous master’s and PhD projects. She is published in accredited journals, presents at international conferences, and actively contributes to advancing the integration of conventional and complementary healthcare practices.

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Gheorghe Balint | Educational Data Analysis | Research Excellence Award

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Prof. Dr. Gheorghe Balint | Educational Data Analysis | Research Excellence Award

Vasile Alecsandri University | Romania

Prof. Dr. Gheorghe Balint is a distinguished academic and researcher in physical education, sports sciences, and winter sports, with over three decades of experience in higher education and international sports organizations. He holds a Doctorate in Pedagogy, recognized as a Doctor in Physical Education and Sports, and a habilitation in optimizing training in faculties of physical education and sports. Currently a Ph.D. supervisor at “Dunărea de Jos” University of Galați, he has served as Professor and Director of the Department of Physical Education and Sport Performance at “Vasile Alecsandri” University of Bacău, as well as Vice-Dean and Head of Chair for Sportive Games. His teaching expertise spans winter sports, association football, coaching, and professional sports pedagogy, while his research interests focus on training optimization, programmed teaching, assessment of theoretical knowledge, and sports performance evaluation. Prof. Balint has coordinated national and international projects, authored multiple books and book chapters, and published numerous ISI-indexed and peer-reviewed articles. He has been recognized with prestigious international honors, including the FIEP Gold and Silver Crosses of Honor and ambassadorial appointments in physical education. Through his leadership, research, and mentorship, Prof. Balint has significantly contributed to the development of physical education, sports science, and international collaboration in training and coaching excellence.

Profile : Scopus

Featured Publications

Grosu, V. T., Vari, H. I., Ordean, M.-N., & Grosu, E. F. (2022). Increasing self-confidence in students from different universities through exercises in body technique and dance therapy. Conference Paper.

Luptáková, G., Argajová, J., Balga, T., & Antala, B. (2025). Team teaching models in primary physical education: Effects on basic motor competencies and self-reported physical literacy. Article.

Šiška, Ľ., Balint, G., Zentko, J., & Voinea, N. L. (2025). Use of a mobile phone for assessing the intensity of strength exercises – Pilot study. Preprint.

Luptáková, G., Argajová, J., Balga, T., & Antala, B. (2025). Team teaching models in primary physical education: Effects on basic motor competencies and self-reported physical literacy. Preprint.

(2024). Changes in selected movement abilities through the use of movement games in physical education lessons at the gymnasium level. Journal of Physical Education and Sport.

Vilma Petkova | Qualitative Research | Best Researcher Award

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Prof. Vilma Petkova | Qualitative Research | Best Researcher Award

Institute of Mineralogy and Crystallography “Acad. Ivan Kostov”, Bulgarian Academy of Sciences | Bulgaria

Prof. Vilma Petkova is an eminent chemist-engineer and researcher specializing in inorganic materials science, crystallography, thermal analysis, and environmentally clean technologies. She holds a Ph.D. in Chemical Technology and Metallurgy and has over three decades of academic and research experience, serving in positions ranging from Assistant Professor to full Professor at the Institute of Mineralogy and Crystallography, Bulgarian Academy of Sciences, and New Bulgarian University. Her research spans inorganic substances, nanomaterials, cement and construction materials, fertilizers, solid-phase kinetics, thermal and X-ray analysis, spectroscopy, and eco-friendly materials. Prof. Petkova has supervised numerous bachelor, master, and Ph.D. students, actively participated in over 130 national and international conferences, and contributed to more than 193 publications, including 89 indexed in IF/SJR journals, accumulating 904 citations across 744 documents with an h-index of 18. She has led and participated in national and international research projects, served on scientific councils, editorial boards, and accreditation panels, and received recognition for her leadership in thermal analysis and materials science. Her expertise integrates material characterization, environmental chemistry, biotechnology, and sustainable development. Prof. Petkova continues to advance research, mentor emerging scientists, and contribute to global knowledge in material science and chemistry, promoting innovations that balance technological progress with environmental sustainability.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Petkova, V., Mihaylova, K., Serafimova, E., Titorenkova, R., Tsvetanova, L., & Trikkel, A. (2025). “Impact of High Energy Milling and Mineral Additives on a Carbonate–Quartz–Apatite System for Ecological Applications.” Materials.

Petkova, V., Mihaylova, K., Kaljuvee, T., & Piroeva, I. (2025). “Induced structural changes within a natural apatite-calcite system via short-time mechanochemical activation.” Materials Chemistry and Physics.

Petkova, V., Stoyanov, V., Mihaylova, K., & Kostova, B. (2025). “Impact of pozzolanic and inert powders on the microstructure and thermal chemistry of cement mortars.” Ceramics International.

Stoyanov, V., Petkova, V., Mihaylova, K., & Shopska, M. (2024). “A Study of the Influence of Thermoactivated Natural Zeolite on the Hydration of White Cement Mortars.” Materials.

Serafimova, E., & Petkova, V. (2022). “BTEX exposure in indoor air in schools in Bulgaria.” IOP Conference Series: Materials Science and Engineering.

Zhifen Chen | Public Health Analytics | Best Researcher Award

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Dr. Zhifen Chen | Public Health Analytics | Best Researcher Award

German Heart Center, TUM University Hospital, Technical University of Munich (TUM) | Germany

Dr. Zhifen Chen is an Independent Junior Group Leader at the German Heart Center, Technical University of Munich, specializing in experimental cardiology. She earned her Bachelor’s degree in Life Sciences from Hubei Normal University and a Master of Science from Tsinghua University. Dr. Chen completed her PhD at the Technical University of Munich with a summa cum laude distinction, focusing on human iPSC-derived cardiomyocytes for cardiac disease modeling, therapeutic discovery, and safety pharmacology. She pursued postdoctoral research at Harvard University and the Beth Israel Deaconess Medical Center, contributing to functional genomics, CRISPR-based screening, and cardiovascular disease studies. Her research focuses on the genetics and molecular mechanisms of coronary artery disease, adipose tissue biology, insulin resistance, and cardiovascular precision medicine. Dr. Chen has secured multiple competitive grants, including from the DFG, DZHK, and international cardiovascular research partnerships. She has received numerous awards and honors, such as PhD summa cum laude, international travel awards, and conference prizes. She actively supervises postdoctoral researchers, PhD, MD, Master, and Bachelor students, and contributes to scientific communities as a reviewer, consortium member, and workshop organizer. Dr. Chen’s work integrates genome editing, transcriptomics, and advanced in vitro models to identify novel therapeutic targets, advancing cardiovascular research and translational medicine.

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Featured Publications

von Scheidt, M., Adkar, S. S., Krefting, J., Hoermann, G., Meggendorfer, M., Bauer, S., Mitchell, S., Pugach, I., Friess, C., Ma, A., et al. (2025). “Clonal Haematopoiesis of Indeterminate Potential and Mortality in Coronary Artery Disease.” European Heart Journal.

Xu, C., Nie, X., Chen, Z., Qu, J. Z., & Wang, D. (2025). “Stenotic Left Atrioventricular Valve after Atrioventricular Septal Defect Repair: A Distinct Surgical Phenotype.” The Journal of Thoracic and Cardiovascular Surgery.

Chen, Z., Li, S., Song, X., Diagel, A., Li, L., Moggio, A., Li, Z., Chen, Y., Dang, T., Li, M., et al. (2025). “An Interplay of Non-Coding RNAs Regulates CDH13 Expression and Affects Endothelial Function and Coronary Artery Disease Risk.” Preprint.

Byers, P., Kellerer, T., Li, M., Chen, Z., Huser, T., & Hellerer, T. (2025). “Super-Resolution Upgrade for Deep Tissue Imaging Featuring Simple Implementation.” Nature Communications.

Sanin, V., Schmieder, R. S., Koenig, W., Li, L., Schunkert, H., & Chen, Z. (2025). “Rolle der Genetik in der Präzisionsmedizin der Koronaren Herzkrankheit.” Herz.

Raquel Gaspar | Financial Data Analysis | Best Researcher Award

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Prof. Raquel Gaspar | Financial Data Analysis | Best Researcher Award

ISEG, Universidade de Lisboa | Portugal

Prof. Raquel M. Gaspar is an Associate Professor of Finance with Habilitation at ISEG – Universidade de Lisboa, where she coordinates the Scientific Area of Finance and the Master in Finance program. She earned her PhD in Finance from the Stockholm School of Economics in 2006, focusing on credit risk and forward price models under the supervision of Prof. Tomas Björk, following an MSc in Mathematics Applied to Economics and Management from ISEG. Her research interests include mathematical and computational finance, credit risk modeling, asset pricing, stochastic processes, portfolio management, and risk analysis. Prof. Gaspar has extensive teaching experience at ISEG and internationally, including Stockholm Business School and Universidad Complutense de Madrid. She has supervised multiple PhD and MSc theses in finance and actuarial science, with an emphasis on quantitative methods and applied finance. Her scientific contributions are reflected in 329 citations, an h-index of 10, and 13 i10-index publications, according to Google Scholar. She has authored several pedagogical materials and textbooks and participates actively in research projects under CEMAPRE/REM. Recognized for her pedagogical innovation and leadership, Prof. Gaspar continues to contribute to the development of financial education and quantitative finance research in Portugal and abroad.

Profiles : Scopus | Orcid

Featured Publications

Gaspar, R. M., & Silva, P. M. (2023). Investors’ perspective on portfolio insurance: Expected utility vs prospect theories. Portuguese Economic Journal.

França, R., & Gaspar, R. M. (2023). On the bias of the unbiased expectation theory. Mathematics.

Gaspar, R. M., & Khapko, M. (2023, October). In memoriam: Tomas Björk (1947–2021), on his career and beyond. Finance and Stochastics.

Almeida, J., & Gaspar, R. M. (2023, July 25). Portfolio performance of European target prices. Journal of Risk and Financial Management.

Céu, M. S., & Gaspar, R. M. (2022, December 21). Vegetative cycle and bankruptcy predictors of agricultural firms. Agricultural Economics (Zemědělská ekonomika), 0139-570X / 1805-9295.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”

 

Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

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Dr. Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Yangzhou University | China

Dr. Muhammad Saddam Khokhar is an accomplished academic and researcher specializing in generative artificial intelligence and computer vision. With over a decade of teaching, research, and leadership experience, he has made significant contributions to artificial intelligence, quantum computing, and deep learning. His expertise spans across developing innovative AI-driven solutions, managing academic programs, and mentoring research scholars at undergraduate, postgraduate, and doctoral levels. As an assistant professor and former department chairman, he has been instrumental in advancing artificial intelligence education, accreditation processes, and research-driven innovation in multiple institutions internationally.

Professional Profiles

ORCID

GOOGLE SCHOLAR

Education

Dr. Khokhar earned his Doctorate in Computer Application Technology from Jiangsu University, China, where his dissertation focused on nonlinear optimization and dimensional reduction using advanced Spearman correlation analysis integrated with deep learning models. His research was recognized with an excellent dissertation award for its innovative methodologies. He also holds a Master’s degree in Computer Science and Information Technology with a focus on machine learning, data mining, and software project management, as well as a Bachelor’s degree in Software Engineering, where he developed strong expertise in artificial intelligence, software architecture, and advanced programming techniques.

Experience

With extensive academic and professional experience, Dr. Khokhar has served in multiple teaching and research roles, including Assistant Professor at the College of Artificial Intelligence, Yangzhou University, and Postdoctoral Fellow at the College of Software Engineering, focusing on generative AI projects. He has also chaired the Department of Artificial Intelligence at Dawood University of Engineering and Technology and contributed to curriculum development, laboratory design, and accreditation processes for AI and quantum computing programs. Earlier in his career, he held lecturer positions at leading Pakistani universities and worked as a software engineer, gaining industry insights that enriched his academic pursuits.

Research Interests

His research primarily focuses on generative artificial intelligence, computer vision, deep learning, and nonlinear optimization techniques. Dr. Khokhar has developed innovative models leveraging Spearman correlation analysis for medical image processing, robotic vision, traffic surveillance, and multi-camera monitoring systems. His recent projects explore lightweight generative adversarial networks (IoTGAN), hybrid attention-driven generative frameworks, and blockchain-based secure election systems. He has also actively contributed to discussions on artificial general intelligence, metaverse technologies, and ethical implications of AI in modern societies through various publications and invited talks.

Awards

Dr. Khokhar has been recognized with several prestigious awards for his contributions to innovation, research, and academic excellence. These include the Best Innovation Award for developing a revolutionary AI platform for gene editing and medical technology, multiple academic achievement awards during his doctoral studies, and accolades in application development and research competitions. His work has been published in high-impact journals and presented at international conferences, showcasing his commitment to advancing cutting-edge AI research and practical solutions for global challenges.

Publications

Muhammad Saddam Khokhar, Misbah Ayoub, Zakria, Abdullah Lakhan. (2025). “Advanced Nonlinear Optimization of Low- and High-Resolution Medical Images Using Adaptive Deep Spearman Correlation Analysis (D-SCA) for Pattern Sequence Recognition.” Applied Soft Computing.

Muhammad Saddam Khokhar. (2025). “Energy Harvesting in IoT, Fog, and Blockchain–Thermoelectric Cooling Innovations.”

Muhammad Saddam Khokhar. (2025). “Health Coin: Revolutionizing Global Healthcare with Green Blockchain Technology.”

Zakria Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar. (2022). “Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, et al. (2021). “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network.” Electronics.

Abdullah Lakhan, Mazhar Ali Dootio, Tor Morten Groenli, Ali Hassan Sodhro, Muhammad Saddam Khokhar. (2021). “Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks.” Electronics.

Conclusion

Dr. Muhammad Saddam Khokhar embodies a dynamic blend of academic rigor, innovative research, and leadership in the field of artificial intelligence. His career reflects a commitment to advancing AI education, developing impactful technologies, and contributing to global scientific knowledge. Through his research, publications, and mentorship, he continues to inspire the next generation of AI professionals while fostering interdisciplinary collaborations that bridge technology with societal advancement.