Sarvesh Tanwar | Computer Science | Excellence in Research Award

Published on by Best Paper Awards

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

Published on by Best Paper Awards

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).

Alain Bernard Djimeli Tsajio | Apprentissage Machine (IA) | Best Researcher Award

Published on by Best Paper Awards

Prof. Alain Bernard Djimeli Tsajio | Apprentissage Machine (IA) | Best Researcher Award

Senior lecturer at University of Dschang, Cameroon.

Prof. Alain Bernard Djimeli Tsajio is a physicist, AI researcher, and telecommunications expert specializing in computer vision, machine learning, and cybersecurity. He holds a Ph.D. in Electronics from the University of Dschang and has over 20 years of experience in academia and research. As a faculty member at IUT Fotso Victor, University of Dschang, he has significantly contributed to curriculum development, student mentorship, and applied research in artificial intelligence. His work has been published in high-impact journals, and he actively collaborates on international research projects in AI-driven diagnostics, wireless networks, and intelligent security systems.

Publication Profile

Orcid

Google Scholar

Educational Details

  • Ph.D. in Physics (Electronics), 2016 – University of Dschang, Cameroon

  • Diplôme d’Études Approfondies (DEA) in Physics (Electronics), 2005 – University of Yaoundé I, Cameroon

  • Maîtrise in Physics (Electronics), 2003 – University of Yaoundé I, Cameroon

  • Licence in Physics, 2000 – University of Yaoundé I, Cameroon

  • Baccalauréat C, 1995 – Lycée Classique de Bangangté, Cameroon

Professional Experience

Prof. Djimeli Tsajio is a Senior Lecturer and Researcher in Telecommunications and Networks at the IUT Fotso Victor, University of Dschang, Cameroon. Since 2005, he has been responsible for course coordination, student mentoring, and curriculum development. His teaching expertise covers a broad range of topics, including:

  • Multimedia Protocols and Quality of Service

  • Wireless Networks and Emerging Technologies

  • Cybersecurity and Artificial Intelligence

  • Information Theory and Cryptography

  • Telecommunication Protocols and High-Speed Networks

He has also served as an instructor at the CISCO Networking Academy, a guest lecturer at multiple universities, and a thesis advisor for Master’s and Ph.D. students in AI and Cybersecurity. His administrative contributions include student academic counseling, exam grading, and research program coordination.

Research Interest

  • Precision Agriculture (disease detection in plants)

  • Medical Diagnostics (breast cancer detection, leukocyte counting)

  • Network Security and Cybersecurity

  • AI-Based Intelligent Agents

Top Noted Publication

  • Solitons and other solutions of the nonlinear fractional Zoomeron equation

    • Authors: E. Tala-Tebue, Z. I. Djoufack, A. Djimeli-Tsajio, A. Kenfack-Jiotsa

    • Journal: Chinese Journal of Physics

    • Volume: 56 (3), Pages: 1232-1246

    • Year: 2018

    • Citations: 26

    • Summary: This paper presents soliton solutions and other exact solutions to the nonlinear fractional Zoomeron equation, leveraging advanced mathematical techniques in nonlinear wave dynamics and fractional calculus.

  • Improved detection and identification approach in tomato leaf disease using transformation and combination of transfer learning features

    • Authors: A. B. Djimeli-Tsajio, N. Thierry, L. T. Jean-Pierre, T. F. Kapche, P. Nagabhushan

    • Journal: Journal of Plant Diseases and Protection

    • Volume: 129 (3), Pages: 665-674

    • Year: 2022

    • Citations: 14

    • Summary: This study introduces an AI-based method for plant disease detection, utilizing transfer learning and feature transformation techniques to improve tomato leaf disease identification.

  • Quantum breathers associated with modulational instability in 1D ultracold boson in optical lattices involving next-nearest neighbor interactions

    • Authors: Z. I. Djoufack, E. Tala-Tebue, F. Fotsa-Ngaffo, A. B. Djimeli-Tsajio, F. Kapche-Tagne

    • Journal: Optik

    • Volume: 164, Pages: 575-589

    • Year: 2018

    • Citations: 13

    • Summary: This work explores quantum breathers and modulational instability in ultracold bosonic systems under optical lattice constraints, contributing to quantum physics and nonlinear dynamics.

  • Formalization method of the UML statechart by transformation toward Petri Nets

    • Authors: T. Noulamo, E. Tanyi, M. Nkenlifack, J. P. Lienou, A. Djimeli

    • Journal: IAENG International Journal of Computer Science

    • Volume: 45 (4), Pages: 32

    • Year: 2018

    • Citations: 8

    • Summary: This paper focuses on software modeling and verification, proposing a methodology for transforming UML statecharts into Petri Nets for improved formal verification of software systems.

  • Analysis of interest points of curvelet coefficients contributions of microscopic images and improvement of edges

    • Authors: A. Djimeli, D. Tchiotsop, R. Tchinda

    • Journal: arXiv preprint

    • Year: 2013

    • Citations: 8

    • Summary: This study investigates curvelet transform techniques for microscopic image analysis, improving edge detection in biological and medical imaging.

Conclusion

Prof. Alain Bernard Djimeli Tsajio is a strong candidate for the Best Researcher Award, given his significant contributions to AI, cybersecurity, and telecommunications. His work in AI-driven plant disease detection and medical diagnostics highlights both technical excellence and real-world impact. Strengthening his global presence, industry partnerships, and citation impact could further solidify his position as a leading researcher in his field.

 

Ali Mokhtassi-Bidgoli | Statistical Analyst | Best Researcher Award

Published on by Best Paper Awards

Dr. Ali Mokhtassi-Bidgoli | Statistical Analyst | Best Researcher Award

Faculty member, at Tarbiat Modares University, Iran.

Ali Mokhtassi-Bidgoli is an esteemed academic and researcher in the field of agronomy, with a focus on crop and weed ecophysiology.  he currently serves as the Associate Professor and Head of the Department of Agronomy at Tarbiat Modares University in Tehran. Mokhtassi-Bidgoli holds a Ph.D. in Agronomy from Tarbiat Modares University, where his dissertation centered on the population dynamics of Descurainia sophia in wheat fields. His primary research interests include weed management, crop ecology, and modeling the effects of climate change on agricultural systems. With years of experience in academia and research, he has published numerous studies and participated in various international conferences, contributing significantly to the agricultural science community. 🌾

Professional Profile

Scopus

ORCID

Google Scholar

Education 🎓

Ali Mokhtassi-Bidgoli’s academic journey is marked by outstanding achievements. He earned his Ph.D. in Agronomy from Tarbiat Modares University, Tehran, Iran, in 2012, where he investigated the impact of water and nitrogen regimes on Descurainia sophia, a key wheat weed. Earlier, he completed his M.Sc. in Agronomy at the Islamic Azad University, ranking first among all students, and his B.Sc. in Agronomy and Plant Breeding from the Shahr-e-rey branch of Islamic Azad University, where he ranked third. His educational background reflects a deep commitment to agricultural sciences, combining theoretical knowledge with practical applications in weed management and crop production. Through his education, he has developed a robust foundation in agronomy, enabling him to lead various research projects and contribute meaningfully to global agricultural advancements. 🎓

Experience 💼

Ali Mokhtassi-Bidgoli’s professional experience spans across multiple prestigious academic roles. He is currently an Associate Professor and has previously served as the Head of the Department of Agronomy at Tarbiat Modares University, where he has also held the role of Assistant Professor since 2013. Mokhtassi-Bidgoli has extensive experience in the field, including his role as a visiting professor at the University of Saskatchewan, Canada, in 2023. His work includes leading research projects, such as those focused on improving water and fertilizer use efficiency in rice and exploring agronomic management practices for Jerusalem artichoke. As an academic leader, he has also contributed to his university’s research council and designed numerous courses in soil science, weed management, and organic farming. His broad professional experience highlights his expertise in both teaching and research. 🧑‍🏫

Research Interests 🔬

Ali Mokhtassi-Bidgoli’s research interests are centered on improving crop and weed management through ecological and physiological studies. His work covers crop and weed ecophysiology, focusing on how different environmental factors, such as water stress, affect crop and weed growth. Mokhtassi-Bidgoli is particularly interested in modeling the growth and population dynamics of crops and weeds under varying climatic conditions. He also explores the impact of herbicides and alternative fertilizers on the environment. His research contributes to developing sustainable farming practices, addressing the challenges of weed management, and improving field crop productivity in the face of climate change. These interests have guided him to lead various significant research initiatives aimed at advancing agricultural practices worldwide. 🌱

Awards 🏆

Ali Mokhtassi-Bidgoli has received numerous accolades throughout his career, recognizing his contributions to agricultural science. Notably, his academic excellence was recognized during his M.Sc. and B.Sc. programs, where he ranked first and third, respectively, among his peers. His research has also earned him acknowledgment at international conferences, such as the International Conference on Renewable, Environment, and Agriculture (ICREA) and the BIALIC Congress. As an influential figure in his field, Mokhtassi-Bidgoli’s continued dedication to agricultural innovation and sustainable farming practices has resulted in prestigious awards and nominations. His leadership as Head of the Department of Agronomy at Tarbiat Modares University further exemplifies his ability to guide and inspire students and researchers. 🏅

Top Notes Publications 📖

1. Optimizing Saffron Cormlet Production through Substrate Composition, Nutrient Concentration, and Irrigation Management in Soilless Cultivation

  • Journal: Scientific Reports
  • Year: 2025
  • Volume & Issue: 15(1), 36
  • DOI: 10.1038/s41598-025-69762-5
  • Abstract: This study explores how substrate composition, nutrient concentration, and irrigation management can optimize saffron cormlet production in soilless cultivation systems.

2. Effect of Melatonin on the Contents of Fatty Acids and Antioxidants of Saffron

  • Journal: Heliyon
  • Year: 2025
  • Volume & Issue: 11(2), e41766
  • DOI: 10.1016/j.heliyon.2025.e41766
  • Abstract: The article investigates how melatonin treatment influences the fatty acid composition and antioxidant levels in saffron, providing valuable insights for improving saffron quality.

3. Melatonin Enhances Drought Tolerance and Recovery Capability in Two Contrasting Fenugreek Landraces

  • Journal: Journal of Plant Growth Regulation
  • Year: 2024
  • Volume & Issue: 43(12), 4588-4607
  • DOI: 10.1007/s00344-024-10374-5
  • Abstract: This study discusses the role of melatonin in improving drought tolerance and the recovery of fenugreek landraces, shedding light on potential stress mitigation strategies in crops.

Conclusion

Dr. Ali Mokhtassi-Bidgoli is undoubtedly a suitable candidate for the Best Researcher Award. His extensive academic background, leadership in agronomy research, numerous publications, and dedication to advancing agricultural sciences make him a remarkable researcher. His contributions, particularly in crop and weed management and ecological modeling, have had significant academic and practical implications. While there is room for diversification in research focus and publication strategy, his current body of work positions him as a leader in his field. His ongoing international collaborations and teaching initiatives further demonstrate his commitment to advancing knowledge in the agricultural sciences.