M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award | 10112

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Mr. M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award

Research Associate | ChangeMaker Nexus Ltd | Bangladesh

Mr. M.M. Abdullah Al Mamun Sony is an accomplished researcher and academic specializing in sociology, disaster management, gender studies, and social-environmental research. He is currently pursuing a Ph.D. at the University of Debrecen, Hungary, at the Géza Marton Doctoral School of Legal Studies with an outstanding grade of 4.98/5.00, reflecting his strong academic capabilities and commitment to research excellence. Sony holds a Master of Social Science in Sociology from Khulna University, Bangladesh, where he specialized in disaster management, gender policy, and sociological research methods, and a Bachelor of Social Science (Honours) in Sociology, also from Khulna University, demonstrating a solid academic foundation. His professional experience spans several significant roles, including Locally-led Action Research Consultant for the Bangladesh Preparedness Partnership, DOSZ Ambassador of Bangladesh fostering scientific collaboration with Hungary, and research associate and consultant for multiple social science and disaster management projects funded by Khulna University Research Cell, UGC Bangladesh, and international agencies. His research interests encompass social-environmental risk assessment, disaster coping mechanisms, gender-based studies, education quality, and labor market inclusion. Sony has developed strong research skills in quantitative and qualitative methods, including SPSS, NVivo, Atlas.ti, EndNote, and advanced data collection, analysis, and reporting techniques. He has an impressive publication record in Q1 and SSCI-indexed journals such as Social Sciences & Humanities Open, Sustainability, and the International Journal of Disaster Risk Reduction, with 22 citations, 7 documents, and an H-index of 3. Sony has received multiple awards and honors, including the Stipendium Hungaricum PhD Fellowship, Bangladesh Sweden Trust Fund travel grant, Best Leadership Award, Best Youth Icon Award, and recognition for outstanding presentations at international conferences. With his academic excellence, extensive research experience, international collaborations, leadership roles, and community engagement, Mr. M.M. Abdullah Al Mamun Sony demonstrates exceptional potential to contribute significantly to global social science research, making him a highly deserving candidate for recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Yu, X., Amin, M. B., Olga, P., Rahaman, M. A., & Sony, M. M. A. A. M. (2024). Gender-based emergency response and crisis management knowledge assessment: A cross-sectional study on Chinese tertiary student. International Journal of Disaster Risk Reduction, 112, 104800. [Citations: 18]

  2. Mollah, M. A., Rana, M., Amin, M. B., Sony, M. M. A. A. M., Rahaman, M. A., & Fenyves, V. (2024). Examining the role of AI-augmented HRM for sustainable performance: Key determinants for digital culture and organizational strategy. Sustainability, 16(24), 10843. [Citations: 15]

  3. Roy, T., Chandra, D., Sony, M. M. A. A. M., & Rahman, M. S. (2021). Impact of salinity intrusion on health of coastal people: Reflections from Dacope upazila of Khulna district, Bangladesh. Khulna University Studies, 17(1 & 2), 57-66. [Citations: 14]

  4. Roy, T., Nasreen, M., Hasan, M. K., & Sony, M. M. A. A. M. (2023). Community priorities in disaster risk reduction interventions: A critical perspective from Bangladesh. In Coastal disaster risk management in Bangladesh (pp. 335-355). [Citations: 8]

  5. Hasan, M. K., & Sony, M. M. A. A. M. (2023). Covid-19, social change, and society 5.0. In The Palgrave Handbook of Global Social Change (pp. 1-19). [Citations: 8]

Sarvesh Tanwar | Computer Science | Excellence in Research Award

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Prof. Dr. Sarvesh Tanwar | Computer Science | Excellence in Research Award

Professor | Amity University | India

Dr. Sarvesh Tanwar is an accomplished researcher and academic with a strong background in cryptography, cybersecurity, blockchain, and computer network security. She earned her Ph.D. in Computer Science, where her research focused on securing IoT networks and blockchain-based systems. Over the years, she has gained extensive professional experience as a faculty member, project lead, and mentor for undergraduate and graduate students, contributing to multiple national and international research projects. Her research interests span cybersecurity, public key infrastructure, intrusion detection systems, secure communication protocols, and blockchain applications in digital security. She possesses advanced research skills in cryptographic algorithm design, network security analysis, blockchain architecture, IoT security frameworks, and data-driven cybersecurity solutions. Dr. Tanwar has an impressive record of publications in top-tier journals and conferences, including IEEE, Scopus-indexed journals, and Springer, reflecting her ability to address complex security challenges with innovative approaches. Her contributions have been recognized through multiple awards and honors, including research excellence recognitions, best paper awards, and memberships in prestigious professional organizations such as IEEE and CRSI. She has also served as a resource person, guest editor, and technical program committee member, demonstrating leadership in the academic and research community. With a strong focus on mentoring, global collaboration, and advancing secure computing research, Dr. Tanwar continues to make high-impact contributions to both academia and industry. Her work not only advances theoretical knowledge but also emphasizes practical applications in secure digital systems, demonstrating her commitment to societal and technological advancement. Overall, her educational background, professional achievements, research expertise, and recognized contributions establish her as a leading figure in cybersecurity and blockchain research, making her highly deserving of recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Tanwar, S., & Bojarajulu, B. (2023). Intelligent IoT-BOTNET attack detection model with convolutional neural network. Computers, Materials & Continua, 70(2), 2077–2093.Citations: 44

  2. Tanwar, S., Choudhary, V., Choudhury, T., & Kotecha, K. (2024). Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset. Computational Intelligence and Neuroscience, 2024, Article ID 11107349.Citations: 11

  3. Tanwar, S., & Kumar, K. (2024). Deep-learning-based cryptanalysis through topic modeling. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  4. Tanwar, S., & Kumar, K. (2024). MAN-C: A masked autoencoder neural cryptography based encryption scheme for CT scan images. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  5. Tanwar, S., & Kumar, K. (2024). Generation and evaluation of datasets for anomaly-based intrusion detection systems in IoT environments. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

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Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

Graduate Student | Washington University of Science & Technology | United States

MD Shadman Soumik is a dedicated IT Support and Data Security professional and researcher with extensive expertise in cybersecurity, data analytics, cloud computing, and enterprise IT systems, combining practical experience with innovative research contributions. He earned his Master of Science in Information Technology from Washington University of Science and Technology, Virginia (2025) and a Bachelor of Science in Electrical and Electronic Engineering from North South University, Bangladesh (2017), establishing a strong academic foundation for both technical and analytical proficiency. Over his career, he has worked with organizations including Reliable Home Care Services Corp, Frontier Semiconductor Bangladesh Ltd, and Poran Agro Products Ltd, where he provided comprehensive IT support, implemented cybersecurity protocols, conducted security audits, managed secure data integration, and optimized IT operations to ensure operational efficiency and data protection. His research interests encompass artificial intelligence applications in cybersecurity, network intrusion detection, secure and usable system design, early disease diagnosis using healthcare data, and AI-based financial market prediction. Soumik’s research skills include machine learning, neural networks, cybersecurity operations, database management, cloud computing, data analysis, technical writing, and project management, allowing him to bridge applied IT work and academic research effectively. He has contributed to high-impact publications in journals and conferences such as IEEE ICDSIS, International Journal of Computer Applications (IJCA), International Journal of Scientific Research and Applications (IJSRA), and International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), and he actively participates in professional organizations including the International Society for Data Science and Analytics (USA) and the Institute of Engineers, Bangladesh. His achievements have been recognized through research awards and professional honors that highlight his contributions to cybersecurity, IT management, and applied analytics. In conclusion, MD Shadman Soumik exemplifies a researcher and professional whose combined expertise, leadership, publications, and dedication to innovation make him highly deserving of recognition, with significant potential to advance IT security, artificial intelligence applications, and data analytics on a global scale.

Profile: LinkedIn

Featured Publications

  1. Soumik, M. S., Mahmud, M. R., Sami, S. I., & Tanim, M. K. B. S. (2025). Designing secure and usable systems: The intersection of human-computer interaction, cybersecurity, and machine learning. International Journal of Computer Applications (IJCA).

  2. Tarafdar, R., Soumik, M. S., & Venkateswaranaidu, K. (2025). Applying artificial intelligence for enhanced precision in early disease diagnosis from healthcare dataset analytics. IEEE International Conference on Data Science and Information Systems (ICDSIS).

  3. Soumik, M. S. (2024). A comparative analysis of network intrusion detection (NID) using artificial intelligence techniques for increased network security. International Journal of Scientific Research and Applications (IJSRA).

  4. Tanim, M. K. B. S., Parash, M. H., Soumik, M. S., & Shakib, M. (2024). Enhanced network anomaly detection using convolutional neural networks in cybersecurity operations. International Journal of Computer Applications (IJCA).

  5. Soumik, M. S. (2024). Prediction of the financial stock market: A comprehensive analysis of artificial intelligence. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 4(2).