Mr. Ronak Kosamia | Neuroscience | Excellence in Research Award
Engineering Development Lead | Medtronic | United States
Featured Publications
Kosamia, R. I. (2023). Securing Android Automotive: A Machine Learning Approach to Intrusion and Malware Detection. Journal of Artificial Intelligence, Machine Learning and Data.
Kosamia, R. I. (2025, January 27). A Novel Plugin-Based Navigation Architecture for Multi-Brand, Multi-Screen Automotive Systems. Journal of Engineering and Management.
Kosamia, R. I. (2023, June). ML-Based Energy Optimization in Android Infotainment for Electric Vehicles. Source: ResearchGate.
Kosamia, R. I. (2023, June). Software Configuration As A Service (SCaaS): Scalable Runtime Tuning For Mass-Customized Vehicles. Source: ResearchGate.
Kosamia, R. I. (2022, August). Edge-supervised Learning Frameworks for Personalization in Embedded IVI Systems. Source: ResearchGate.
Dr. Zaid Khan | Health Professions | Best Researcher Award
Pharm D Intern | Aditya Bangalore Institute of Pharmacy Education and Research | India
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Khan, Z., & Hiremath, S. R. R. (2025). A comprehensive study on antibiotic prophylaxis practices across diverse surgical modalities. Journal of Pharmaceutical Care, 13(2), 93–100.
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Khan, Z., Rekha, M., & Shapur, S. (2025). Transforming postoperative recovery: Synergistic impact of medication therapy management and precision analgesia on patient outcomes. Journal of Pharmacology and Clinical Practice.
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Khan, Z. (2025). Development and computational analysis of polyherbal chewable lozenges for effective management of mouth and throat infections. Palestinian Medical and Pharmaceutical Journal.
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Khan, Z. (2024). A case report of advanced periampullary carcinoma: Palliative chemotherapy following Whipple surgery. Research and Reviews: Journal of Oncology and Hematology, 13(1), 1–6.
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Khan, Z., Sajeev, N., & Ba, V. (2023). Enhancing sun protection: Formulating and assessing herbal sunscreen formulations. RGUHS Journal of Pharmaceutical Sciences, 13(4).
Prof. Dr. Zonglin He | Materials Science | Best Researcher Award
Associate Professor | Taiyuan University of Science and Technology | China
Dr. Zonglin He is an accomplished Associate Professor at Taiyuan University of Science and Technology, specializing in Mechanical Engineering with research expertise in metal plastic forming theory and high-performance engineering numerical calculation. He earned his Doctorate in Engineering from Taiyuan University of Science and Technology, where his academic foundation in mechanical systems and materials science evolved into a distinguished research career. Dr. He’s professional experience spans teaching, supervising master’s students, and leading multiple funded research and industrial projects that integrate theoretical modeling with practical application. His research interests focus on metal deformation mechanics, bimetallic and composite pipe forming, and numerical simulation for advanced materials design. He possesses strong research skills in computational modeling, metallurgical structure analysis, and the development of mathematical models for forming processes. Dr. He has published four peer-reviewed papers in SCI and Scopus-indexed journals, accumulating 22 citations and an h-index of 3 and 4 Document , which reflect the growing international recognition of his scientific contributions. Alongside his publications, he holds three national invention patents and has collaborated with Steel Heli Company to develop cladding pipe manufacturing technologies, demonstrating his commitment to research with industrial impact. His pioneering work on the Pilger hot-rolling process for bimetallic seamless clad pipes has significantly advanced understanding in metallurgical bonding and deformation mechanisms. In recognition of his excellence in academic innovation and teaching, he received the Second Prize of Shanxi Provincial Teaching Achievement. Dr. He’s dedication to combining engineering research with industrial application positions him as a forward-thinking scholar with strong potential for global collaboration and leadership. In conclusion, his achievements, innovation-driven mindset, and contributions to sustainable material processing make Dr. Zonglin He a highly deserving candidate for the Best Researcher Award.
Profile: Scopus
Featured Publications
He, Z., and Li, Y. (2024). Enhanced mechanical properties of bimetal metallurgical cladding tube by non-vacuum Pilger hot-rolling. Materials Letters.
He, Z., and [Co-author(s)]. (2020). The bonding mechanism and experimental verification of Pilger hot rolling clad tube.
Mr. Hayatullah Mushwani | Environmental Science | Best Researcher Award
Lecturer | Kabul Institute | Afghanistan
Mr. Hayatullah Mushwani is a highly committed research scientist and lecturer in the Disaster Management Department, Environment Faculty, at Kabul University, Afghanistan. With over eight years of experience in teaching, research, and consulting, he has developed deep expertise in disaster risk reduction, climate change mitigation and adaptation, environmental management, and sustainable development. He holds a Master’s degree in Disaster Preparedness, Mitigation, and Management from the Asian Institute of Technology (AIT), Thailand, completed in 2023, and a Bachelor’s degree in Disaster Management from Kabul University in 2017. His professional experience includes serving as a lecturer since 2018, delivering courses in disaster risk reduction, climatic hazards, GIS, and resilience studies. He has also contributed to several humanitarian and research-driven organizations such as ADRA International, Redr UK, CWSA Japan, and the International Organization for Migration (IOM), focusing on climate adaptation, curriculum development, and resilience planning. His research interests encompass disaster risk analysis, climate change policy, hazard modeling, resilience assessment, and community-based risk management. He is skilled in GIS and remote sensing applications, AHP numerical modeling, SPSS data analysis, and advanced research design methodologies. Mr. Mushwani has published over ten peer-reviewed articles in international Q1 and Q2 journals, including ScienceDirect and Springer Nature, with an H-index of 4 and more than 46 citations and 7 Documents . His dedication to academic excellence is reflected through multiple honors, including appreciation letters from international institutions in Singapore, the USA, and India for outstanding teaching and volunteer contributions. His academic and professional journey reflects a strong commitment to environmental sustainability and knowledge transfer. In conclusion, Mr. Mushwani’s blend of scholarly rigor, teaching excellence, and global engagement demonstrates his potential to contribute meaningfully to international research and policy frameworks in disaster management and climate resilience.
Profiles: Google Scholar | Scopus | LinkedIn | ResearchGate
Featured Publications
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Safi, L., Mujeeb, M., Sahak, K., Mushwani, H., & Hashmi, S. K. (2024). Climate change impacts and threats on basic livelihood resources, food security, and social stability in Afghanistan. GeoJournal, 89(2), 85. Citations: 36
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Mushwani, H., Ahmadzai, M. R., Ullah, H., Baheer, M. S., & Peroz, S. (2024). A comprehensive AHP numerical module for assessing resilience of Kabul City to flood hazards. Urban Climate, 55, 101939. Citations: 13
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Morshed, M. A., Mushwani, H., Sahak, K., & Hairan, M. H. (2024). The current state of early warning system in South Asia: A case study of Afghanistan. International Journal of Disaster Risk Reduction, 100, 104201. Citations: 13
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Mushwani, H., Arabzai, A., Safi, L., Ullah, H., Afghan, A., & Parven, A. (2025). Evaluation of flood hazard vulnerabilities and innovative management strategies in Afghanistan’s central region. Natural Hazards, 121(4), 4639–4655. Citations: 6
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Mushwani, H., Arabzai, A., Safi, L., Chaiya, C., & Sahak, K. (2025). Evaluation of gender-based challenges during natural disasters in the central region of Afghanistan: A case study of Parwan Province. World Development Perspectives, 37, 100646. Citations: 2
Ms. Shahrzad Manavi Nameghi | Biochemistry | Best Researcher Award
Researcher | Islamic Azad University Tehran Medical Sciences | Iran
Shahrzad Manavi Nameghi is an accomplished molecular genetics researcher from Tehran, Iran, recognized for her work in diabetes, cancer pathways, gene therapy, and stem cell research. She completed her M.Sc. in Molecular Biology-Genetics at Islamic Azad University, Tehran Medical Sciences in 2019, where her thesis focused on the relation between the GIPR gene and type 2 diabetes, following a B.Sc. in Cellular and Molecular Biology-Genetics from Shahid Bahonar University, Kerman in 2017. Professionally, she has served as a lab technician and R&D assistant at Khazar Lab, Tehran, and as a main lab technician at Mendel Medical Genetics Laboratory, contributing to projects involving DNA and RNA extraction, real-time PCR, pyro-sequencing, ARMS-PCR, MLPA-PCR, and other molecular techniques. She has also worked as a research assistant at the Endocrine and Metabolism Research Institute, gaining expertise in RFLP-PCR and sequencing analysis. Her research interests include molecular genetics, diabetes and cancer-related gene pathways, gene therapy, and stem cell therapy, and she is proficient in analytical techniques such as ELISA, fragment analysis, primer design, and basic R programming. Shahrzad has published multiple peer-reviewed articles in indexed journals including Gene Reports, Endocrine and Metabolic Science, and Regenerative Biology and Medicine, with a growing citation count of 15 and h-index of 2, and serves as an editor and peer reviewer for biomedical journals. She has presented her work at international conferences, including the IDF Congress in Korea and Brussels, and completed various certifications and workshops in peer review, manuscript preparation, laboratory techniques, and molecular biology. Her achievements, dedication to research, and involvement in scientific communities underscore her leadership potential and commitment to advancing biomedical science. For her significant contributions to molecular genetics, diabetes, and cancer research, and her active role in knowledge dissemination and mentorship, Shahrzad Manavi Nameghi is a highly deserving candidate for the Best Researcher Award.
Profiles: Google Scholar | ORCID | Scopus | LinkedIn | ResearchGate
Featured Publications
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Manavi Nameghi, S. (2024). Unraveling the molecular genetic basis of type 2 diabetes. Journal of Gene Reports. CiteScore: 3.3. Citations: 4. H-index: 2.
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Manavi Nameghi, S. (2024). Exploring the recent advancement and future prospects of personalized medicine in type 2 diabetes. Journal of Endocrine and Metabolic Science. CiteScore: 2.8.
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Manavi Nameghi, S. (2023). Cancer stem cells as a considerable barrier in anti-cancer treatments. Journal of Regenerative Biology and Medicine. CiteScore: 7.
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Manavi Nameghi, S. (2023). Association of GIPR gene variant on the risk of type 2 diabetes: A case control study. Journal of Endocrine and Metabolic Science. CiteScore: 2.8.
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Manavi Nameghi, S. (2022). Investigating the highlights of pluripotent stem cells in type 2 diabetes. Journal of Regenerative Biology and Medicine. CiteScore: 7.
Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award
Assistant Professor | Beijing Institute of Technology | China
Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.
Featured Publications
Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.
Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.
Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.
Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.
Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.
Dr. Subhashis Banerjee | Arts and Humanities | Best Researcher Award
Assistant Professor | Nagaland University | India
Dr. Subhashis Banerjee, born on 20th April 1986, is an Assistant Professor of English at Nagaland University with a distinguished career in teaching, research, and academic leadership. He completed his Ph.D. in English Literature from Tezpur University, Assam, focusing on the travel writings of Swami Vivekananda, and holds an M.A. and B.A. in English from Rabindra Bharati University, along with a B.Ed. from NEHU, Shillong, and a Diploma in Computer Applications. Over the years, he has served as Assistant Professor at Government College Seppa, Rajiv Gandhi University, and Jawaharlal Nehru College, Pasighat, coordinating IGNOU M.A. programs and heading multiple academic initiatives, including IQAC, R&D Cells, language labs, and seminar series. His research interests encompass travel literature, postcolonial studies, comparative American literature, and Northeastern indigenous cultural studies, with a strong focus on cultural, social, and ecological dimensions. Dr. Banerjee possesses advanced research skills in methodology, ICT-enabled teaching, data analysis, and academic writing, supported by numerous national and international professional development programs. He has authored and edited multiple books, including “Charaiveti: Vivekananda’s Dialogue on People, Politics & Space” and “Research Methodology for Academic Research,” and published extensively in SCOPUS-indexed, UGC-CARE listed, and peer-reviewed journals. Recognized for his leadership and scholarly contributions, he has received awards such as the State Rank in Assistant Professor Selection, National Merit Scholarship, and research grants from MAKAIAS and the Department of Higher and Technical Education, Arunachal Pradesh. His work demonstrates a deep commitment to advancing English literature scholarship, mentoring students, organizing national and international seminars, and promoting cross-cultural understanding. With a proven record of academic excellence, research productivity, and societal impact, Dr. Banerjee is highly deserving of recognition, and his continued contributions are poised to further enhance the quality and visibility of humanities research both nationally and internationally.
Profile: Google Scholar
Featured Publications
Banerjee, S. (2020). Charaiveti: Vivekananda’s Dialogue on People, Politics & Space. Lucknow: Book Rivers Press. ISBN 978-93-89914-64-1
Banerjee, S. (2023). Simple English Pedagogy for School Teachers. Mumbai: Phoenix. ISBN 978-93-89914-64-1
Banerjee, S. (2024). Research Methodology for Academic Research. Lucknow: Book Rivers. ISBN 978-93-58423-891
Banerjee, S. (2015). Soncu Maharaj’s Dialogue with Assam: A Brief Analysis of His Travel Writings. REIMRJ, V, 23–28.
Banerjee, S. (2018). American Transcendentalism as the Precursor to Ecocriticism. IJTSRD (Multidisciplinary), 2, 2874–2877.
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
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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]
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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]
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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]
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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]
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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]
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
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Tanwar, S., & Bojarajulu, B. (2023). Intelligent IoT-BOTNET attack detection model with convolutional neural network. Computers, Materials & Continua, 70(2), 2077–2093.Citations: 44
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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
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Tanwar, S., & Kumar, K. (2024). Deep-learning-based cryptanalysis through topic modeling. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4
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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
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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
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
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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).
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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).
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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).
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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).
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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).
