Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

University of Lisbon | Portugal

Dr. Rasool Taban, Ph.D, is a distinguished Data Scientist currently affiliated with Technical University Institute – University of Lisbon, where he continues to advance the frontiers of Artificial Intelligence and Data Science. His academic journey began in Computer Engineering and evolved into a profound focus on Artificial Intelligence during his M.Sc. studies at the University of Tehran, where he graduated with honors in Artificial Intelligence and Robotics. His early research centered on developing an automated screening system designed to assist in diagnosing Autism Spectrum Disorder in children, demonstrating his ability to merge technology with meaningful social impact. Dr. Taban recently earned his Industrial Ph.D. at Institute – University of Lisbon, funded by the prestigious Marie Curie BIGMATH project, where his research specialized in addressing one of the most persistent challenges in statistical learning-imbalanced data. He successfully developed three novel balancing techniques, each tailored to optimize performance across different variable classes, making significant contributions to data reliability and analytical accuracy in machine learning models. With two published journal papers indexed in Scopus and SCI, Dr. Taban’s scholarly work reflects both academic rigor and applied innovation. He has also participated in multiple research and industry projects, collaborating with institutions such as the SDG Group, CIF/N26, Evenco International, and CTAD–Tehran Autism Center. His involvement as part of the editorial team for the International Conference on Robotics and Mechatronics (ICRoM) further underscores his leadership in advancing interdisciplinary research. Dr. Taban’s primary research interests include imbalanced data, statistical learning, data science, and financial data modeling. His contributions have not only expanded methodological knowledge in statistical computing but have also bridged the gap between theoretical frameworks and real-world data-driven applications, reflecting his commitment to excellence in both academia and industry.

Profiles:  Google Scholar | Linked In

Featured Publications

Taban, R., Nunes, C., & Oliveira, M. R. (2023). RM-SMOTE: A new robust balancing technique.

Taban, R., Nunes, C., & Oliveira, M. R. (2025). Mixed-robROSE: A novel balancing technique tailored for mixed-type datasets.

Bozorgnia, F., Arakelyan, A., & Taban, R. (2023). Graph-based semi-supervised learning for classification of imbalanced data. Submitted to Conference ENUMATH.

Shahri, M. A., & Taban, R. (2021). ML revolution in NLP: A review of machine learning techniques in natural language processing. Journal of Applied Intelligent Systems & Information Sciences (JAISIS), 2(1), 2.

Taban, R., Parsa, A., & Moradi, H. Tip-toe walking detection using CPG parameters from skeleton data gathered by Kinect. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 9).

Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Hacettepe University | Turkey

Assoc Prof. Dr. Mustafa Kerem Kockar is a Turkish engineering geologist and geotechnical expert currently serving in the Department of Civil Engineering at Hacettepe University, Ankara. He holds a B.Sc., M.Sc., and Ph.D. in Geological Engineering from Middle East Technical University (METU), where his research focused on engineering geological and geotechnical site characterization of Upper Pliocene and Quaternary deposits west of Ankara. He has also conducted research at The University of Texas at Austin and Texas A&M University. His key research interests include engineering geology, rock and soil mechanics-particularly tunnelling, dam sites, slopes, and landslides-in-situ geotechnical and seismic site characterization, dynamic and static numerical modelling of geotechnical problems, environmental geotechnology, and engineering seismology with an emphasis on ground-motion amplification, attenuation modelling, earthquake hazard assessment, and enhanced geothermal systems involving hydraulic fracturing and micro-seismic monitoring. He has authored or co-authored 47 documents and has received 650 citations with an h-index of 17, reflecting his strong contribution to the field. He has supervised several postgraduate theses on landslide monitoring, slope stability, fibre-optic methods for early warning, and solar farm foundation design. His professional experience includes academic and research roles at METU, UT Austin, Texas A&M, Gazi University’s Earthquake Engineering Research Center, and Hacettepe University. He also contributes to Turkey’s national seismology and earth-interior advisory commission under the Disaster and Emergency Management Authority (AFAD) and has provided expert consultancy on major infrastructure projects such as the Trans Anatolian Natural Gas Pipeline (TANAP) and slope-erosion surveys, showcasing his interdisciplinary expertise in geotechnical fieldwork, seismic hazard analysis, and numerical modelling.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Oner, G., Akgun, H., Koçkar, M. K., & Arslan Kelam, A. (2025). Municipal landfill site selection using TOPSIS methodology: A case study for Polatlı, Ankara, Türkiye. Bulletin of Engineering Geology and the Environment, 84(3), 126.

Arslan Kelam, A., Akgun, H., Bobet, A., & Kockar, M. K. (2025). Assessment of complex rock slope instabilities in Mudurnu, Turkey, through kinematic and dynamic analyses: A case study. Rock Mechanics and Rock Engineering, 58(2), 2223–2242.

cınar, Ö. F., Aldemir, A., Zervent, A., Yücel, O. B., Erberik, M. A., Anıl, O., & Koçkar, M. K. (2024). Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network. Neural Computing and Applications, 36(3), 1329–1350.

Askan, A., Altindal, A., Aydin, M. F., Erberik, M. A., Koçkar, M. K., Tun, M., et al. (2025). Assessment of urban seismic resilience of a town in Eastern Türkiye: Turkoglu, Kahramanmaras before and after 6 February 2023 M 7.8 Kahramanmaras earthquake. Earthquake Spectra, 41(1), 146–175.

Sahin, G., Okalp, K., Koçkar, M. K., Yilmaz, M. T., Jalehforouzan, A., Temiz, F. A., et al. (2024). Development of a GIS-based predicted map of Türkiye using geological and topographical parameters: Case study for the region affected by the 6 February 2023 earthquakes. Seismological Research Letters, 95(4), 2044–2057.

Aasma Shaukat | Clinical Trials and Statistical Designs | Best Researcher Award

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Dr. Aasma Shaukat | Clinical Trials and Statistical Designs | Best Researcher Award

New York University | United States

Dr. Aasma Shaukat, M.D., M.P.H., is an internationally acclaimed gastroenterologist, epidemiologist, and academic leader recognized for her transformative contributions to colorectal cancer prevention, gastrointestinal outcomes research, and population health. She serves as Director of Gastrointestinal Outcomes Research, Robert M. and Mary H. Glickman Endowed Professor of Medicine, Professor of Population Health, Co-Director of the Translational Research Education and Career (TREC) Program, and Program Director for the KL2 Scholars Program at the Clinical and Translational Science Institute at NYU Grossman School of Medicine, while also serving as a staff physician at the VA New York Harbor Healthcare System. Before joining NYU, she led the Gastroenterology Section at the Minneapolis VA Health Care System and was a core investigator at the Center for Chronic Disease Outcomes Research, establishing herself as a national authority in outcomes-based gastroenterology. Dr. Shaukat holds an M.B., B.S. from The Aga Khan University Medical College in Karachi and an M.P.H. in International Health and Epidemiology from Johns Hopkins Bloomberg School of Public Health, followed by residency training in Internal Medicine at the State University of New York and fellowship training in Gastroenterology at Emory University School of Medicine. Board-certified in Internal Medicine and Gastroenterology, she has combined clinical expertise with advanced epidemiologic research to drive evidence-based improvements in digestive health and preventive care. Her research has shaped international colorectal cancer screening practices through landmark studies demonstrating the long-term mortality benefit of fecal occult blood testing, influencing screening guidelines worldwide. With more than 273 peer-reviewed publications and numerous invited lectures, Dr. Shaukat has become one of the most cited researchers in gastroenterology, with an h-index of 50, i10-index of 155, and over 9,245 citations according to Scopus, underscoring her scientific impact. Her work encompasses endoscopic quality improvement, health disparities, cost-effectiveness of screening programs, and novel noninvasive diagnostics for gastrointestinal diseases. In addition to her research, Dr. Shaukat is a dedicated mentor and educator who has guided countless trainees and junior faculty, championing diversity and inclusion in academic medicine. She serves on the Board of Trustees for the American College of Gastroenterology, chairs the Clinical Practice Section of the American Gastroenterological Association Institute, and contributes to several national advisory and planning committees, including ASCO GI, GIQUIC, PCORI, and the VA GI Field Advisory Board. A recipient of numerous prestigious honors such as the ASGE Endoscopic Research Mentoring Award, ACG MVP SCOPY Award for Colon Cancer Prevention, and NYU Research Mentor of the Year Award, she continues to shape the future of gastroenterology through innovation, mentorship, and leadership. Dr. Shaukat’s enduring legacy lies in her ability to merge clinical excellence, epidemiologic insight, and translational impact to advance gastrointestinal health globally and inspire the next generation of physician-scientists committed to research-driven healthcare transformation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Udaikumar, J., Nimmagadda, Shaukat, A.,R., Ingawale, S., Lella, V. V., Vijayakumar, K., et al. (2025). Current perspectives on colorectal cancer screening and surveillance in the geriatric population. Current Gastroenterology Reports, 27(1), 34.

Singal, A. G., Quirk, L., Boike, J., Chernyak, V., Feng, Z., Giamarqo, G., Kanwal, F., … (2025). Value of HCC surveillance in a landscape of emerging surveillance options: Perspectives of a multi-stakeholder modified Delphi panel. Hepatology, 82(3), 794–809.

Shaukat, A., Hu, J., Zhao, Y., Faulx, G., Augustin, A., Murphy, S., Stevens, E., et al. (2025). A randomized clinical trial of multi-level intervention to improve colorectal cancer screening rates at multiple federally qualified health care centers in New York City. Contemporary Clinical Trials, 108115.

Farooque, U., Murtaza, M., Umer, M., Johar, A., Aparna, F., Khan, A. R., Kumar, A., et al. (2025). Advancing health equity through telehealth: A systematic review and meta-analysis of remote vs. in-person weight-loss interventions among Black women with obesity. Current Obesity Reports, 14(1), 72.

Tang, C. Z., Delau, O. R., Katz, S., Axelrad, J. E., Hudesman, D., Shaukat, A., et al. (2025). Mild endoscopic disease activity is associated with adverse outcomes among older adults with inflammatory bowel disease. Alimentary Pharmacology & Therapeutics.

Kiran Sree Pokkuluri | Machine Learning and Statistics | Excellence in Research Award

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Prof. Dr. Kiran Sree Pokkuluri | Machine Learning and Statistics | Excellence in Research Award

Shri Vishnu Engineering College For Women | India

Prof. Dr. Kiran Sree Pokkuluri is a distinguished academician, researcher, and innovator in the field of Artificial Intelligence and Machine Learning with an illustrious career of academic and research excellence. Currently serving as Professor and Head of the Department of Computer Science and Engineering at Shri Vishnu Engineering College for Women, he has significantly contributed to advancing computational intelligence and data-driven innovation in academia and industry. He holds a Ph.D. in Artificial Intelligence from JNTU-Hyderabad and has an impressive scholarly record with over 100 research publications in reputed SCI and Scopus-indexed journals, a citation count exceeding 653, an h-index above 13, and an Documents exceeding 152, reflecting the global impact of his research. His research areas include Deep Learning, Healthcare Analytics, Bioinformatics, IoT Power Optimization, Big Data Analytics, and Cloud Computing. Dr. Sree has authored six textbooks with ISBNs on Artificial Intelligence, Machine Learning, and Deep Learning, and has filed and published six patents in the domains of AI and intelligent systems. His innovations such as the Hybrid Deep Neural ZF Network (HDNZF-Net) have set new benchmarks in real-time speech enhancement for speech-impaired individuals and IoT optimization. He has completed five major funded projects and collaborated with premier institutions including Stanford University through the UIF program, fostering cross-disciplinary innovation. A recognized thought leader, Dr. Sree serves as Editor-in-Chief, editorial board member, and reviewer for multiple international journals. His remarkable achievements have earned him prestigious recognitions like the Bharat Excellence Award and Rashtriya Ratan Award, and he has been featured in Marquis Who’s Who in the World. As Global Vice President of the World Statistical Data Analysis Research Association (WSA) and a member of professional bodies such as IEEE, ISTE, CSI, and IAENG, Dr. Kiran Sree continues to inspire excellence in AI-driven research, education, and technological innovation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Venkatachalam, B., Pokkuluri, K. S., Suguna Kumar, S., Dhandapani, A., & Bhonsle, M. (2025). Adaptive fuzzy heuristic algorithm for dynamic data mining in IoT integrated big data environments. Journal of Fuzzy Extension and Applications, 6(3), 615–636.

Pokkuluri, K. S., Sarkar, P., Birchha, V., Mathariya, S. K., Veeramachaneni, V., & others. (2025). Intelligent reasonable optimization for virtual machine provisioning in hybrid cloud using fuzzy AHP and cost-effective autoscaling. SN Computer Science, 6(7), 1–15.

Sivanuja, M., Raju, P. J. R. S., Prasad, M., RR, P. B. V., Kumar, K. S., & Pokkuluri, K. S,. (2025). A novel ensemble-based deep learning framework combining CNN and transfer learning models for enhanced wildfire detection. In Proceedings of the 2025 International Conference on Computational Robotics, Testing and Applications.

Alzubi, J. A., Pokkuluri, K. S., Arunachalam, R., Shukla, S. K., Venugopal, S., & others. (2025). A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network. Scientific Reports, 15(1), 17594.

Pokkuluri, K. S., Chandanan, A. K., Mishra, A. K., Jyothi, D., Lavanya, M. S. S. L., & others. (2025). Deep learning-enhanced intrusion detection and privacy preservation for IIoT networks. In Proceedings of the 2025 4th International Conference on Distributed Computing and Electrical Systems.

Ahmad Abuhani | Machine Learning and Statistics | Best Researcher Award

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Assist Prof. Dr. Ahmad Abuhani | Machine Learning and Statistics | Best Researcher Award

Middle East University | Jordan

Assist Prof. Dr. Ahmad Abuhani is an accomplished Assistant Professor of Interior Design at the Faculty of Engineering and Design, Middle East University, Amman, Jordan, known for his distinguished academic, artistic, and research achievements. He earned his B.Sc., M.Sc., and Ph.D. in Interior Design from the Moscow State University of Applied Arts named after S.G. Stroganov, Russia, where he specialized in interior composition, architectural planning, and the artistic formation of traditional Jordanian housing. His doctoral research, titled “The Construction System and Technical Composition of the Interior Design of the Jordanian Home,” demonstrates his dedication to blending cultural identity with modern design principles. Dr. Abu Hani has held several academic and administrative positions, including Head of the Interior Design Department at Middle East University, Amman University, and Yarmouk University. His teaching expertise covers a wide range of design areas such as architectural drawing, color theory, space planning, and professional practice. His scholarly contributions include publications in international journals and conferences focusing on design aesthetics, visual communication, and creative methodology. His research interests span fine and applied arts, architectural design, descriptive geometry, and color theory. A member of the Fine Artists Association (Amman) and the International Council of Societies of Industrial Design (ICSID), he also serves as a reviewer for Horizon Research Publishing and participates in multiple academic committees and juries. Dr. Abu Hani has exhibited his work in 15 personal and 9 collective exhibitions across Jordan and Russia, receiving prestigious awards including first place in national art competitions and recognition from the Ministry of Culture, Dr. Abu Hani continues to make impactful contributions to the fields of interior design, applied arts, and creative education, combining innovation with cultural and academic excellence.

Profiles: Orcid |  Google Scholar 

Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

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Dr. Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Sinomune Pharmaceutical Co. Ltd | China

Dr. Om Sambhaji Shelke is a highly accomplished pharmaceutical scientist with extensive expertise in the formulation and development of topical, semisolid, solid, and liquid drug products. Holding a Ph.D. in Pharmacy and an M. Pharmacy from Savitribai Phule Pune University, he has over a decade of experience across global markets including the US, EU, China, Hong Kong, and India. Currently serving as Chief Scientist at Sinomune Pharmaceutical Co. Ltd. in Wuxi, Jiangsu, China, Dr. Shelke leads the development of generic topical products for the NMPA market. He is skilled in Quality by Design (QbD)-based development of creams, ointments, gels, shampoos, and solutions, with specialization in novel formats such as emulgel, organogel, nanogel, solid lipid nanoparticles, suspensions, and toothpaste. He also holds three granted patents and has published multiple scientific and technical articles. Throughout his career, he has received multiple awards recognizing his innovation, knowledge sharing, and leadership, including the StarFire Award. Dr. Shelke has held pivotal roles at leading pharmaceutical and consumer healthcare companies such as Prinbury Biopharm Co. Ltd., Encube Ethicals Pvt Ltd., Bright Future Pharmaceuticals Ltd., Unilever Industries Pvt Ltd., Abbott Healthcare Pvt Ltd., Dr. Reddy’s Laboratories, and Glenmark Pharmaceuticals Ltd., contributing to both regulatory-compliant NDA, ANDA, and 505(b)(2) products as well as OTC, cosmetic, and personal care formulations. His professional journey reflects a consistent commitment to scientific excellence, innovative product development, and leadership in cross-functional teams, positioning him as a prominent figure in global pharmaceutical research and development.

Profiles: Google Scholar | Orcid

Featured Publications

F. Jie, O. Shelke, Z. Yijie, C. Yulan, & L. Yongbo. (2025). Q1 and Q2 selection, Q3, IVRT, IVPT, pharmacokinetic and pharmacodynamic evaluation of topical generic product. Drug Development and Industrial Pharmacy, 51(6), 555–565.

J. Feng, O. S. Shelke, Y. Chen, Z. Zhang, X. Tang, & Y. Zhu. (2025). IVRT and IVPT of desonide lotion and cream: Correlation with human bioequivalence study. Journal of Pharmaceutical Innovation, 20(5), 196.

S. Krishna Phani Chandra, S. Om Sambhaji, & N. Shorgar. (2025). Quantification of leniolisib in rat plasma using LC-MS/MS: Method development, validation, and pharmacokinetic study. African Journal of Biological Sciences, 7(7), 121–142.

S. Om. (2025). Editorial article: The transformative impact of AI in pharmaceutical drug product development. Insights of Pharmatech, 1(2), 1.

S. Gadge, O. S. Shelke, R. Pingale, P. Palande, S. Tandale, P. Sonawane, … (2025). Development and evaluation of a polyherbal neem-based emulgel enriched with herbal oils for enhanced topical delivery and antibacterial efficacy. Journal of Chemical Health Risks, 15(3), 2189–2209.

Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

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Prof. Dr. Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Suleyman Demirel University | Turkey

Prof. Dr. Fatih Ucun is a distinguished physicist specializing in atomic and molecular physics, with expertise in electron paramagnetic resonance (EPR), nuclear magnetic resonance (NMR), and infrared (IR) spectroscopy. He completed his B.Sc. and M.Sc. in Physics at Atatürk University and earned his Ph.D. from Ondokuz Mayıs University. He is a full professor in the Department of Physics at Suleyman Demirel University in Isparta, Turkey. Prof. Ucun has made significant contributions to computational chemistry, molecular modeling, and quantum mechanics, bridging theoretical insights with practical applications in material science and nanotechnology through pioneering studies on molecular electronic structures and quantum chemical simulations. He has authored 91 publications, cited 883 times, and holds an h-index of 16, reflecting his substantial impact in the field. In addition to his research, he has published four books and serves on editorial boards of scientific journals, demonstrating his leadership and influence in the academic community. His work has advanced the understanding of atomic-level interactions and energy transfer mechanisms, while mentoring future scientists and enriching scientific progress in physical chemistry and computational modeling.

Profiles: Scopus | Google Scholar 

Featured Publications

Ucun, F., Isik, Y. E., & Tiryaki, O. (2025). An approach to description of isotropic hyperfine interaction constants in the fluorinated nitrobenzene and nitrophenol radical anions: DFT calculations vs. experiment. Russian Journal of Physical Chemistry A, 99, 2498–2505.

Yolburun, H., & Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F., & Alakuş, N. (2022). Enthalpies and activation energies of several gas reactions by intrinsic reaction coordinate (IRC) calculations. El-Cezeri, 9(2), 576–583.

Ucun, F., & Küçük, S. (2022). Triafulvalen, pentafulvalen ve heptafulvalenin katyon ve anyon radikallerinin EPR aşırı ince-yapı yapıları: Bir teorik çalışma. Süleyman Demirel University Faculty of Arts and Science Journal of Science.

BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

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Mr. BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

SRM Institute of Science and Technology (SRMIST) | India

Mr. Bhaskar A is a highly accomplished academic and industry professional with over two decades of experience in mechanical engineering, manufacturing, and Agile methodologies. Currently serving as an Assistant Professor (Selection Grade) and Scrum Master at SRM Institute of Science and Technology (SRMIST), Ramapuram, he has played a pivotal role in integrating Agile practices into engineering education, mentoring teams, and enhancing organizational productivity. His educational journey includes an MBA from Annamalai University, an M.E. in Manufacturing Engineering from Madras Institute of Technology, and a B.E. in Mechanical Engineering from the University of Madras, and he is presently pursuing a part-time Ph.D. in Lean Manufacturing from Anna University. Over his career, he has held positions as an Assistant Professor at several engineering colleges and worked in industry roles including Production Engineer, contributing to process improvements and team management. Dr. Bhaskar has made significant research contributions in lean manufacturing, mechanical properties of materials, and the application of Agile methodologies, with numerous publications in journals and conferences. Beyond research and teaching, he is dedicated to continuous professional development, having completed multiple Faculty Development Programs, workshops, and online courses in project management, digital manufacturing, materials science, and other emerging technologies, reflecting his commitment to advancing knowledge and fostering innovation in engineering education.

Profiles:  Google Scholar | Linked In

Featured Publications

Alexpandian, A. S., Rajesha, M., Loganathan, P., Hariram, V., & [Y.R.]. (2023). Optimization of machining parameters to improve surface quality in the abrasive water jet cutting of AA6351 aluminium alloy. International Journal of Vehicle Structures & Systems, 15(4), 547–551.

Devaraju, A. B. A. (2025). Integrated ERP lean model for quality enhancement and operational excellence in SME based automotive mould manufacturing. Scientific Reports, 15(35979), 1–16.

Jeffrey, V. P. S. S. J. A., Govindaraj, S., Mahesh, R., Bhaskar, A., Arunkumar, K., & [R.]. (2025). Influence of Fe2O3 nanoparticle-infused waste cooking oil biodiesel on the emission, performance, and combustion aspects towards a cleaner environment. Journal of Environmental Nanotechnology, 14(3), 466–476.

Yoganjaneyulu, G., Perumal, V. S., Sivasankaran, S., Annamalai, B., & Niranjan, T. (2025). Strategic method to enhancing the formability of Nitinol foils via micro-incremental sheet forming processes and evaluation of structure–property. Metals and Materials International, 1–15.

Hepsi, B. M. J., Bhaskar, A., Rekha, R. S., & Vasanthi, P. (2024). Wear behavior of hemp-flax-glass fibre hybrid composite material. Advances in Additive Manufacturing Technologies, 75–79.

Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

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Assoc Prof. Dr. Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

High Institute of Industrial Management of Sfax | Tunisia

Assoc Prof. Dr. Kaies Samet is a highly accomplished academic and researcher in the field of Economic Sciences, currently serving as Maitre de Conferences at the Institut Superieur de Gestion Industrielle de Sfax, Tunisia, and as an active researcher at the Laboratoire en Economie de Developpement, Faculty of Economics and Management of Sfax. He holds a Doctorate and a University Habilitation in Economic Sciences from the Faculty of Economics and Management of Sfax, earned with distinction. Over his long and dedicated academic career, he has taught at several prominent Tunisian institutions including the Institut Superieur de Gestion de Gabes, Ecole Superieure de Commerce de Sfax, Esprit School of Business, and Universite Centrale de Tunis. His teaching and research cover a wide range of topics such as economic growth, the knowledge economy, digital transformation, innovation systems, decision making models, and regional development. Dr Kaies Samet has authored more than forty five academic publications, including journal articles, book chapters, and conference papers, which together have received over 8 citations, demonstrating his influence in the academic community, with an h index of 2 according to Scopus. His research contributions often bridge theory and practice, addressing the dynamics of technological progress, information systems, and their implications for sustainable economic development in emerging economies. Beyond his research output, he has guided many students in postgraduate programs and collaborated with interdisciplinary teams on projects related to economic intelligence, competitiveness, and policy innovation. Dr. Samet is widely recognized for his analytical rigor, innovative thinking, and commitment to advancing economic education and applied research in Tunisia and abroad. His continuous engagement in academic conferences, seminars, and research collaborations reflects his passion for knowledge dissemination and his vision of building a stronger, innovation driven economy through education, research, and regional development initiatives.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Ben Flah, I., Samet, K., El Ammari, A., & Terzi, C. (2025). Shock and volatility transmissions across global commodity and stock markets spillovers: Empirical evidence from Africa. Journal of Risk and Financial Management, 18(6), 332.

Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

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Dr. Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

New York University | United States

Dr. Yahya  Alshamy is a culturally attuned economist and policy analyst with extensive experience in higher education and research across Saudi Arabia and the United States. Currently a Post-Doctoral Fellow and Lecturer at New York University, he enhances NYU’s teaching portfolio in law, macroeconomics, and political economy by integrating cutting-edge research in behavioural and development economics into graduate instruction, mentoring teaching and research assistants, and leading independent studies such as “Legitimacy by Consumption,” which examines economic welfare and authority in transitioning rentier states. Concurrently, he serves as an Associate Research Fellow at the King Faisal Centre for Research and Islamic Studies (KFCRIS), where he oversees research, authors flagship reports, and positions KFCRIS as a thought leader through publications analyzing non-oil revenue growth, subsidy reform, and intellectual history, including cross-disciplinary works on Yemen and comparative studies of Western conservative critiques of intellectuals. Previously, as a Graduate Lecturer at George Mason University, Dr. Alshamy redesigned large macroeconomics survey courses, employing interactive problem sets, real-time polling, policy simulations, and discussion labs to boost student engagement and evaluations. His Ph.D. research at the Mercatus Centre examined institutional failures in conflict zones and the governance of defence technologies, resulting in nine peer-reviewed journal articles, multiple book chapters, and high-impact policy briefs, including pioneering frameworks for evaluating “noxious government markets” in international arms trade. Dr. Alshamy has also executed large-scale data analytics projects, including NLP pipelines tracking U.S. and EU investor sentiment on Saudi Vision 2030, and designed behavioral interventions that informed financial literacy programs for young Saudi investors. With over ten peer-reviewed and policy publications, certifications in human-subjects research and executive communication, and board appointments on research advisory and scientific boards, he exemplifies a blend of rigorous scholarship, innovative pedagogy, and policy-relevant impact in economics and governance.

Profiles: Google Scholar |  Linked In

Featured Publications

Alshamy, Y., Callais, J. T., & Ammons, J. (2024). Nonviolent regime change and economic freedom. SSRN, 4877262.

Alshamy, Y., Goodman, N. P., & Novak, M. (2025). Polycentric peace. Journal of Pacifism and Nonviolence, 1(aop), 1–29.

Alshamy, Y. (2025). Mind the cultural gap: Cultural contingency of behavioral interventions. SSRN, 5316905.

Alshamy, Y. (2024). Monocentric governance and the rise of sectarian conflict in Yemen. In Conflicts and challenges in the Middle East: Religious, political and …

Alshamy, Y. (2024). Essays on institutional analysis and development in war-torn countries. George Mason University.