Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

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Prof. Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

S.P.Timoshenko Institute of Mechanics | Ukraine

Dr. Kostyantin Kotenko is an Professor in the Department of Theoretical Mechanics at the Kyiv National University of Construction and Architecture (KNUCA), Ukraine, specialising in building structures and civil engineering systems. He holds the degree of Candidate of Technical Sciences (equivalent to PhD) and has developed extensive expertise in the dynamics of layered, or sandwich, shell structures with inhomogeneous fillers. A graduate of KNUCA, Dr. Kotenko’s academic background is rooted in the theory and design of complex structural systems, and his research focuses on the dynamic response and stability of multi-layered shells subjected to transient, impact, and nonstationary loads. Over his career, he has co-authored numerous influential papers in international journals, exploring dynamic responses of domes, cylindrical and conical shells with inhomogeneous elastic cores. His work has earned recognition for its analytical depth and contribution to advancing the field of structural dynamics. According to his Scopus profile, Dr. Kotenko has authored 10 scientific publications, received approximately 16 citations, and holds an h-index of 1, reflecting his active engagement and growing impact in the global research community. At KNUCA, he teaches theoretical mechanics and structural dynamics, supervises postgraduate research, and contributes to academic development through innovative research on layered shell mechanics. His continuing investigations into the stress–strain behaviour and stability of multi-layered systems have practical applications in modern civil and aerospace engineering. Dr. Kotenko’s scholarly contributions, combined with his dedication to education and applied mechanics, establish him as a prominent specialist in the field of dynamic analysis of layered and composite structural shells.

Featured Publications

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).

Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

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Prof. Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

Nanchang Hangkong University | China

Prof. Ding Xiangyu is a distinguished scholar and the Dean of the School of Power and Energy at Nanchang University of Aeronautics, where he has established himself as a leading expert in the field of aeroengine technology and engineering. With an academic career marked by innovation, precision, and dedication, Professor Ding has devoted decades to advancing research on surface treatment and sealing structures for aeroengines, contributing significantly to the reliability, performance, and longevity of modern propulsion systems. His research has been instrumental in addressing critical challenges in high-temperature sealing, material fatigue, and efficiency optimization within the aerospace industry. Professor Ding has successfully led and participated in numerous high-impact research projects supported by prestigious funding bodies such as the Jiangxi Provincial Natural Science Foundation, the National Natural Science Foundation of China, the AVIC Independent Innovation Fund, and several defense-related horizontal projects that bridge academic theory with industrial application. His leadership and expertise have positioned him as a pivotal figure in fostering collaboration between academia, government, and the aerospace sector, driving forward China’s capabilities in aeronautical power engineering. As the chief editor of the authoritative textbook Principles of Aeroengines, Professor Ding has also made substantial contributions to the academic community by shaping the next generation of aerospace engineers and researchers. His textbook serves as a foundational reference for students and professionals alike, reflecting his deep understanding of engine thermodynamics, aerodynamics, and mechanical design. Beyond his academic and research achievements, he is widely recognized for his visionary leadership in developing the School of Power and Energy into a center of excellence for innovation and applied research. Under his guidance, the school has enhanced its focus on interdisciplinary education, experimental research, and international collaboration, aligning closely with global trends in sustainable and intelligent propulsion technologies. Professor Ding’s academic influence, technical expertise, and leadership continue to inspire advancements in the field of aeroengine engineering, contributing meaningfully to China’s aerospace progress and reinforcing his reputation as one of the foremost authorities in the field. His lifelong commitment to research excellence and educational leadership underscores his invaluable role in shaping both the technological and academic landscape of aerospace power and energy systems.

Profiles:  Orcid

Featured Publications

Wang, Y., Ding, X., Yu, S., Wang, S., Wu, Z., Yuan, Y., & Wang, C. (2025). Study on the effect of laser impact strengthening on the service performance of ZL101A aluminum alloy. Journal of Materials Engineering and Performance.

Gong, Z., Zhang, T., Chen, Y., Lu, J., Ding, X., Zhang, S., Lan, M., Shen, Y., & Wang, S. (2024). Effect of laser shock peening on stress corrosion cracking of TC4/2A14 dissimilar metal friction stir welding joints. Journal of Materials Research and Technology.

Ding, X., Zhang, J., Yu, S., Jiang, Z., Zhong, J., Ma, S., Wang, S., Li, H., & Wang, C. (2024). The effect of laser shock peening on the rotating bending fatigue resistance of S51740 stainless steel. Journal of Materials Science.

Ding, X., Li, H., Jiang, Z., Zhang, J., Ma, S., Zhong, J., Wang, S., & Wang, C. (2023). Prediction of surface residual stresses after laser shock processing on TC4 titanium alloy using different neural network agent models. Coatings.

Ding, X., Ma, S., Zhang, J., Jiang, Z., Li, H., Wang, S., Wang, C., & Zhong, J. (2023). Numerical simulation and process study on laser shock peening of 1Cr18Ni9Ti material. Crystals.

Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

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Assoc Prof. Dr. Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

Xinjiang University of Finance & Economics | China

Profiles: Scopus 

Featured Publications

Fan, Y., Qian, Y., Gong, W., Chu, Z., Qin, Y., & Muhetaer, P. (2024). Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data

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.

Moumita Mukherjee | Machine Learning and Statistics | Best Researcher Award

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Dr. Moumita Mukherjee | Machine Learning and Statistics | Best Researcher Award

Charite-University Medicine Berlin | Germany

Dr. Moumita Mukherjee is an accomplished health economist and digital health researcher with expertise in health systems research, machine learning applications in healthcare, and interdisciplinary teaching. She holds a PhD in Economics from the University of Calcutta, an MBA in Entrepreneurship, Innovation and Project Development from International Telematic University, and an MSc in Data Science from the University of Europe for Applied Sciences, Germany. Her professional experience spans both academic and applied research environments, including positions at Charite-University Medicine Berlin, the Indian Institute of Public Health in Shillong, and the Berlin School of Business and Innovation. She has contributed extensively to global health research focusing on digital transformation, equity in healthcare access, and the use of data-driven methods for improving health outcomes. Her body of work includes numerous peer-reviewed publications in leading journals such as Scientific Reports, Journal of Health, Population and Nutrition, Journal of Health Management, and International Journal for Equity in Health, as well as book chapters and authored volumes addressing child health, nutrition, and health equity. In her current role at Charite-University Medicine Berlin, she lectures on digital health and artificial intelligence, supervises master’s theses, and mentors students. With advanced technical proficiency in Python, STATA, and NVivo, she applies econometric, machine learning, and deep learning models to address complex public health and policy questions. Her interdisciplinary approach integrates health economics, digital innovation, and policy analysis to support equitable and sustainable health systems worldwide. Through her research, teaching, and mentorship, Dr. Moumita Mukherjee continues to bridge data science and health economics to shape the future of evidence-based global health policy and digital healthcare transformation.

Profiles: Google Scholar | Orcid

Featured Publications

Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

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Mr. Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

Indian Institute of Technology | India

Mr. Deepak Kumar is a dedicated engineer-researcher driving frontier work in fluid mechanics, multiphase flows, atomization, and energy sustainability. He completed his B.Tech in Aeronautical Engineering from Gautam Buddha Technical University, followed by an M.Tech in Aerospace Engineering from the Indian Institute of Technology Kanpur and is nearing completion of his Ph.D. in Aerospace Engineering at IIT Kanpur, where he has built a strong academic and experimental foundation. His industry-relevant research spans primary breakup of jets in cross-flow and swirling air, twin-fluid injectors for fluidized bed catalytic cracking risers sponsored by HPCL, throttleable rocket injectors developed for ISRO, and urea-deposition and thermal-decomposition studies for SCR after-treatment systems sponsored by Cummins. Before entering academia, he served as Senior Project Associate and Project Engineer at IIT Kanpur and is currently a faculty member at VIT University, Bhopal. He is proficient in advanced experimental diagnostics such as LDV/PDPA, PIV, high-speed imaging, 3D hot-wire anemometry, and sensor-based DAQ systems, and is skilled in software tools like LabView, TecPlot 360, ANSYS Workbench, and ICEM-CFD, along with programming expertise in C++, MATLAB, and Python. His research output includes multiple peer-reviewed journal papers and numerous international conference presentations, recognized with a Best Paper Award for his work on twin-fluid injectors for modern FCC systems. He has also mentored students as a tutor and teaching assistant in fluid mechanics and rate processing on both IIT Kanpur and NPTEL platforms. According to available bibliometric sources, his h-index stands at approximately 1, with 4 total citations and 17 published documents, highlighting his growing impact in the fields of alternative fuels, atomization, and flow diagnostics. Dr. Kumar continues to pursue innovation aimed at addressing global energy-sustainability challenges while inspiring the next generation of engineers and researchers.

Profiles: Scopus |  Orcid

Featured Publications

Kumar, D., & Kushari, A.. Spray dynamic in twin-fluid atomizer with tangentially air intake. Journal of Fluid Mechanics, 897, 112–125.

Kumar, D., Sikroria, T., & Kushari, A. Droplet dynamics of liquid jet in swirling crossflow air at elevated pressure environment. Journal of Engineering for Gas Turbines and Power.

Kumar, D., & Kushari, A. Spray dynamic in twin-fluid atomizer with tangentially air intake. Chemical Engineering & Technology.

Kumar, D., Sikroria, T., & Kushari, A. Experimental study on liquid jet trajectory in cross flow of swirling air at elevated pressure condition. Journal of Engineering for Gas Turbines and Power.

Kumar, D., Kushari, A., Kumar, P., & Mishra, H. Droplet size distribution in twin fluid nozzle for modern FCC riser. Journal of Fluid Flow, Heat and Mass Transfer.

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.

Baptiste Pigno | Environmental and Climate Statistics | Best Researcher Award

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Prof. Baptiste Pignon | Environmental and Climate Statistics | Best Researcher Award

National Institute of Health and Medical Research (INSERM) | France

Prof. Baptiste Pignon is a distinguished psychiatrist and researcher affiliated with the Department of Psychiatry, INSERM, Fondation FondaMental, Hopitaux Universitaires Henri Mondor, Creteil, France. His research primarily focuses on the intersections of psychiatry, environmental health, and public health epidemiology, with particular attention to the mental health impacts of climate change and environmental stressors. Prof. Pignon has made substantial contributions to the study of psychiatric emergencies, mood and psychotic disorders, and their associations with climatic variables such as temperature, air pollution, and green exposure. His interdisciplinary expertise integrates psychiatric epidemiology, biostatistics, and environmental psychology, enabling him to explore how external environmental determinants affect the onset, severity, and healthcare utilization patterns in mental illnesses. He has collaborated extensively with national and international research consortia, including the CONSTANCES cohort and the Fondation FondaMental network, fostering data-driven insights into mental health determinants across diverse populations. Prof. Pignon has authored and co-authored more than 131 scientific documents, including peer-reviewed journal articles, book chapters, and conference proceedings, reflecting his dedication to advancing psychiatric research. His scholarly impact is evidenced by an h-index of 21 and over 2,385 citations (as indexed in Scopus), marking him as one of the leading French researchers in the field of environmental psychiatry. His recent works have explored nuanced factors such as school holidays, thermal comfort indices, and contextual variables in understanding psychiatric outcomes related to extreme temperatures-addressing methodological limitations in prior global studies. Beyond his contributions to research, Prof. Pignon is also deeply involved in clinical practice and academic mentorship, guiding early-career psychiatrists and epidemiologists in methodological rigor and evidence-based approaches to mental health. His investigations-such as the case-crossover analyses of psychiatric emergencies in response to thermal variations-have provided critical implications for health policy, climate adaptation strategies, and mental health preparedness in urban and suburban contexts. Through his commitment to translational research, Prof. Baptiste Pignon continues to shape the understanding of how environmental and climatic stressors influence psychiatric morbidity and health system responses, bridging scientific inquiry and clinical application to improve patient outcomes and public resilience amid accelerating climate challenges.

Profiles: Scopus | Google Scholar | Orcid

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.