Muhammad Tahir | Mathematics | Young Scientist Award

Dr. Muhammad Tahir | Mathematics | Young Scientist Award

Gomal University | Pakistan

Dr. Muhammad Tahir is an emerging researcher and academic in the field of applied mathematics, with expertise spanning numerical analysis, fuzzy logic, artificial intelligence, and decision-making systems. He has served as a Lecturer in Mathematics at Beacon Light College, Pakistan, and as a Teaching Assistant at the Islamia University of Bahawalpur, where he contributed to curriculum development and quality enhancement initiatives. Dr. Tahir holds a Master of Science in Mathematics from the Islamia University of Bahawalpur, where his thesis focused on the “Numerical Study of Deformation of Bubbles Using Phase-Field Models with Decoupling Technique.” His research portfolio includes several high-impact publications in reputed journals such as Applied Soft Computing, European Journal of Pure and Applied Mathematics, and Engineering Applications of Artificial Intelligence. His studies cover topics like fuzzy set theory, cryptographic security, cyber risk mitigation, environmental sustainability, and multi-criteria decision-making. Dr. Tahir’s recent works emphasize hybrid intelligence frameworks, machine learning-integrated decision systems, and quantum-resistant cryptography. He has presented his research at international conferences in Turkey, demonstrating his commitment to interdisciplinary collaboration and computational innovation. His scholarly contributions continue to advance soft computing, mathematical modeling, and intelligent decision-making for industrial and environmental applications.

Profiles : Scopus | Orcid

Featured Publications

Kamran, M., Zhang, Q., Pamucar, D., Tahir, M., & Simic, V. (2025). Enhancing confidence level in decision-making frameworks using Fermatean fuzzy rough sets: Application in Industry 4.0. Applied Soft Computing.

Tahir, M., Kfueit, K., Rasheed, M., Hanan, A., & Shahid, M. I. (2025, October 4). Pythagorean soft sets and hypersoft sets: A comprehensive framework for advanced uncertainty modeling in decision making. Spectrum of Decision Making and Applications.

Victor R.L. Shen | Computer Science | Best Researcher Award

Prof. Dr. Victor R.L. Shen | Computer Science | Best Researcher Award

National Taipei University | Taiwan

Prof. Dr. Victor R. L. Shen is a highly accomplished scholar and Professor Emeritus in the Department of Computer Science and Information Engineering at National Taipei University, Taiwan. With an extensive academic background, including a Ph.D. in Computer Science from National Taiwan University, he has dedicated decades to advancing research and education in artificial intelligence, Petri net theory, fuzzy logic, cryptography, e-learning systems, IoT, and intelligent computing. Over his distinguished career, he has published 78 documents that collectively received 840 citations across 696 sources, earning him an h-index of 15, reflecting both the depth and impact of his contributions. Beyond his prolific research, Prof. Shen has held prominent academic leadership positions, including Dean, Chairman, and CEO roles at National Taipei University and Ming Chi University of Technology, shaping academic programs and fostering innovation. His global recognition includes visiting professorships, membership in leading professional organizations such as IEEE, ACM, and IET, and numerous prestigious awards for teaching, research, and innovation. With sustained contributions in smart systems, advanced computing, and AI-driven education, Prof. Shen continues to influence the global academic community, leaving a legacy of excellence in both research and pedagogy.

Profiles : Scopus | Orcid

Featured Publications

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Lin, Y.-C. (2025). Petri net modeling and analysis of an IoT-enabled system for real-time monitoring of eggplants. Systems Engineering.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Jheng, W.-S. (2025). A novel IoT-enabled system for real-time monitoring home appliances using Petri nets. IEEE Canadian Journal of Electrical and Computer Engineering.

Chang, J.-C., Chen, S.-A., & Shen, V. R. L. (2024). Smart bird identification system based on a hybrid approach: Petri nets, convolutional neural and deep residual networks. Multimedia Tools and Applications, 83(12), 34795–34823.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Tung, Y.-C., & Lin, J.-F. (2024). A novel IoT-enabled system for real-time face mask recognition based on Petri nets. IEEE Internet of Things Journal, 11(4), 6992–7001.

Yang, C.-Y., Lin, Y.-N., Wang, S.-K., Shen, V. R. L., & Lin, Y.-C. (2024). An edge computing system for fast image recognition based on convolutional neural network and Petri net model. Multimedia Tools and Applications, 83(5), 12849–12873.

Yang, C.-Y., Hwang, M.-S., Tseng, Y.-W., Yang, C.-C., & Shen, V. R. L. (2024). Advancing financial forecasts: Stock price prediction based on time series and machine learning techniques. Applied Artificial Intelligence, 38(1), 1–24.

Lin, Y.-N., Wang, S.-K., Chiou, G.-J., Yang, C.-Y., Shen, V. R. L., & Su, Z. Y. (2023). Development and verification of an IoT-enabled air quality monitoring system based on Petri nets. Wireless Personal Communications, 131(1), 63–87.*

 

Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

Prof. Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

University of Dhaka | Bangladesh

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Prof. Hafiz Mohammad Hasan Babu began his academic journey in the realm of computer science and engineering with a strong foundation from the Brno University of Technology, Czech Republic, where he completed his M.Sc. with a focus on logic network automation. His curiosity for advanced computational systems took him to the Kyushu Institute of Technology in Japan, where he earned his Ph.D. in Computer Science and Electronics. His doctoral work concentrated on data structures for multiple-output functions and their applications in VLSI CAD, under the guidance of Prof. Dr. Tsutomu Sasao. These formative years laid the groundwork for his future innovations in quantum computing, reversible logic, and nanotechnology.

Professional Endeavors

Prof. Hasan Babu's academic career spans several decades and institutions, notably the University of Dhaka, where he served in various capacities, including as professor in the departments of Computer Science and Engineering, and Robotics and Mechatronics Engineering. His early academic roles also included positions at Khulna University. He has been deeply involved in curriculum development, student mentorship, and departmental leadership. Beyond teaching, he also contributed significantly as a research supervisor and played a critical role in developing the academic and research culture of computer science in Bangladesh.

Contributions and Research Focus

A prolific researcher, Prof. Hasan Babu has made groundbreaking contributions in the fields of quantum computing, reversible logic design, DNA computing, and machine learning applications in healthcare and agriculture. His interdisciplinary research integrates electronics, artificial intelligence, and biological systems. His most recent works delve into quantum biocomputing and nanotechnology, as evidenced by his multi-volume publications with Springer Nature and CRC Press. He has also authored numerous peer-reviewed articles on topics such as cardiovascular disease detection using mobile AI, air quality forecasting, and toxic substance identification in fruits through deep learning.

Accolades and Recognition

Prof. Hasan Babu has received numerous prestigious awards recognizing his excellence in research and scholarly contributions. These include the Dhaka University Research Excellence Recognition, the UGC Gold Medal, and the Dr. M. O. Ghani Memorial Gold Medal from the Bangladesh Academy of Sciences. His biography has been featured in “Who's Who in the World, USA.” He has also received international fellowships such as the Japanese Government Scholarship, the DAAD Fellowship from Germany, and a Czechoslovakian Government Scholarship, marking his global academic influence.

Impact and Influence

Throughout his academic life, Prof. Hasan Babu has significantly influenced the fields of computer science, electronics, and artificial intelligence. His innovations in reversible logic and DNA computing have shaped research methodologies and applications in both academia and industry. He has been instrumental in advancing computational methods that address real-world problems, particularly in environmental monitoring, biomedical diagnostics, and agricultural automation. His role as a mentor to doctoral and master’s students further amplifies his impact on the next generation of scholars.

Legacy and Future Contributions

Prof. Hasan Babu’s extensive scholarly contributions, particularly in the emerging domains of quantum AI and biocomputing, position him as a thought leader in futuristic technologies. His upcoming publications promise to offer new paradigms in nanotechnology and molecular-level computing. As he continues to mentor new researchers and expand the boundaries of interdisciplinary science, his legacy will be defined by his relentless pursuit of innovation and his dedication to fostering a globally relevant research ecosystem.

List of Book Publications



Books Published in 2025:

1. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume I, Springer Nature, Singapore.

2. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume II, Springer Nature, Singapore.

3. Quantum Biocomputing in Quantum Biology, Volume I, Springer Nature, Singapore.

4. Quantum Biocomputing in Quantum Biology, Volume II, Springer Nature, Singapore.

Book Published in 2024:
5. DNA Logic Design: Computing with DNA, World Scientific Publishing Co Pte Ltd., Singapore.

Books Published in 2023:
6. Multiple-Valued Computing in Quantum Molecular Biology, Volume I, CRC Press, USA.
7. Multiple-Valued Computing in Quantum Molecular Biology, Volume II, CRC Press, USA.

Books Published in 2022:
8. VLSI Circuits and Embedded Systems, CRC Press, USA.
9. Control Engineering Theory and Applications (Co-authored with Md. Jahangir Alam, Guoqing Hu, and Huazhong Xu), CRC Press, USA.

Books Published in 2020:
10. Quantum Computing: A Pathway to Quantum Logic Design, 2nd Edition, IOP Publishers, Bristol, UK.
11. Reversible and DNA Computing, Wiley Publishers, UK.



Journal Publications


Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Authors: Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md Mahbubur Rahman, Hafiz Md Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder
Journal: Neuroscience Informatics (Elsevier)
Year: 2025


Empowering early detection: A web-based machine learning approach for PCOS prediction
Authors: Md. Mahbubur Rahman, Ashikul Islam, Forhadul Islam, Mashruba Zaman, Md Rafiul Islam, Md Shahriar Alam Sakib, Hafiz Md Hasan Babu
Journal: Journal of Informatics in Medicine (Elsevier)
Year: 2024


Computer vision based deep learning approach for toxic and harmful substances detection in fruits
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Heliyon (Cell Press)
Year: 2024


A Comprehensive Approach to Detecting Chemical Adulteration in Fruits Using Computer Vision, Deep Learning, and Chemical Sensors
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Journal of Intelligent Systems with Applications (Elsevier)
Year: 2024


A Voice assistive mobile application tool to detect cardiovascular disease using machine learning approach
Authors: Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md Hasan Babu
Journal: Biomedical Materials & Devices (Springer US)
Year: 2024


Conclusion

Prof. Hafiz Mohammad Hasan Babu embodies the spirit of academic excellence and innovation in computer science. With a career rich in scholarly output, international collaborations, and student mentorship, he has become a beacon of transformative research and a visionary in integrating quantum theory with computational systems. His work continues to influence the scientific community both in Bangladesh and globally, promising continued advancements in technology and applied sciences.

Raghavendran Prabakaran | Mathematics | Best Scholar Award

Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Author Profile

Scopus

Orcid

Google Scholar

 

Early Academic Pursuits

Mr. Raghavendran Prabakaran began his academic journey with a strong foundation in mathematics. He completed his B.Sc. in Mathematics from the prestigious Loyola College, Chennai. Building on this, he pursued his M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His dedication to research led him to enroll in a Ph.D. program at the same institution, focusing on cutting-edge mathematical applications in AI and cryptography.

Professional Endeavors

Mr. Prabakaran has actively engaged in interdisciplinary research through internships at Symbiosis Institute of Digital and Telecom Management, where he contributed to innovative projects related to Brain-Computer Interfaces (BCI), AI in neuroscience, and energy forecasting. These roles not only refined his technical skills but also positioned him at the intersection of applied mathematics and next-generation AI applications.

Contributions and Research Focus

His primary research areas include Fractional Differential Equations, Control Theory, Integral Transforms, Fuzzy Analysis, Cryptography, and Artificial Neural Networks. His Ph.D. dissertation explores advanced integro-differential systems with state-dependent delays, which have direct implications in AI modeling and secure communication systems. Mr. Prabakaran’s passion for innovation is evident from his 12 published patents, introducing transformative concepts such as the P-Transform, A-Transform, Y-Transform, and V-Transform for applications ranging from signal processing to robotics and environmental monitoring.

Accolades and Recognition

Mr. Raghavendran Prabakaran boasts an impressive academic portfolio, including 22 journal articles, 12 conference papers, 13 book chapters, and one authored book. Several of his publications appear in Q1 journals indexed in Web of Science (WoS) and Scopus, reflecting the high quality of his research. His scholarly influence is evident through 184 citations and an h-index of 9 on Scopus, 79 citations and an h-index of 6 on Web of Science, and 219 citations with an i10-index of 8 on Google Scholar. His pioneering research, particularly in AI-integrated control theory and the development of mathematical models for real-world applications, has earned widespread academic recognition and continues to impact multiple scientific domains.

Impact and Influence

Mr. Prabakaran’s research contributions resonate across disciplines, especially in AI, cryptography, energy systems, neuroscience, and robotics. His patented technologies have the potential to revolutionize fields like healthcare (Parkinson’s diagnosis), transport (driver alert systems), and disaster management (forest fire detection). He is recognized as a bridge between theoretical mathematics and applied innovation.

Legacy and Future Contributions

As a dynamic scholar with an impressive blend of mathematical precision and technological foresight, Mr. Raghavendran Prabakaran is poised to lead future innovations in AI-driven control systems, smart robotics, and secure communication protocols. His forward-thinking approach ensures that his work will continue to influence academic research, industrial applications, and policy-level technological adoption for years to come.

Publications


A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam
Journal: Fractal and Fractional
Year: 2025


Existence, Uniqueness, and Stability Results of Fractional Volterra-Fredholm Integro-Differential Equations with State Dependent Delay
Authors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Kottakkaran Sooppy Nisar
Journal: Qualitative Theory of Dynamical Systems
Year: 2025


R-Transform Techniques for Strengthening Cryptographic Protocols in Digital Supply Networks
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar
Journal: Global Integrated Mathematics
Year: 2025


Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations
Authors: Prabakaran Raghavendran, T. Gunasekar, Shyam Sundar Santra, Dumitru Baleanu
Journal: Journal of Mathematics and Computer Science
Year: 2025


Application of Pourreza Transform to Solve Fractional Integro-Differential Equations
Authors: T. Gunasekar, P. Udhayasankar, Prabakaran Raghavendran, M. Suba
Journal: Journal of Applied Mathematics and Informatics
Year: 2025


Qiuping Li | Mathematics | Best Researcher Award

Dr. Qiuping Li | Mathematics | Best Researcher Award

Gansu University of Political Science and Law | China

Author Profile

Orcid

Early Academic Pursuits 🎓

Dr. Qiuping Li embarked on his academic journey with a Bachelor of Science in Information and Computational Science from Jilin University, where he developed a strong foundation in mathematical modeling and computational analysis. His passion for theoretical mathematics led him to pursue a Ph.D. in Applied Mathematics at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in Beijing. During this time, he honed his expertise in graph theory, delving into its complex structures and applications.

Professional Endeavors 🏛️

As a dedicated academic, Dr. Li has held key positions in prestigious institutions. He served as a lecturer at the School of Computer Science and Technology at Hengyang Normal University from 2018 to 2024, where he mentored aspiring mathematicians and contributed significantly to research in graph theory and cryptography. In 2025, he transitioned to the School of Cyber Security at Gansu University of Political Science and Law, focusing on integrating graph theory with network security, reinforcing his role as a leading researcher in these domains.

Contributions and Research Focus 🔬

Dr. Li's research spans several critical areas, including graph theory, network security, and cryptographic algorithms. His work on graph energy, order-energetic graphs, and lightweight cryptography has provided valuable insights into mathematical structures and their real-world applications. His contributions to the field are reflected in multiple SCI-indexed publications, including his studies on infinite classes of L-borderenergetic graphs and graph energy changes due to edge deletion. His research has enhanced the understanding of structural properties in computational chemistry and network systems.

Accolades and Recognition 🏆

Dr. Li’s groundbreaking research has earned him recognition in the academic community. His publications in prestigious journals such as MATCH Communications in Mathematical and Computer Chemistry have been widely cited and referenced by fellow researchers. His expertise in cryptography has also led to the development of novel block cipher algorithms, with several patents granted for innovative encryption methodologies. His contributions to lightweight block ciphers have positioned him as a thought leader in secure communication technologies.

Impact and Influence 🌍

Beyond academia, Dr. Li’s research has profound implications for cybersecurity and mathematical modeling. His advancements in graph theory contribute to network security by optimizing encryption methods, ensuring more robust data protection. His patented cryptographic algorithms offer practical solutions for secure digital communication, addressing modern challenges in information security. Through his teachings and mentorship, he continues to inspire the next generation of researchers, fostering a new wave of innovation in applied mathematics and cryptography.

Legacy and Future Contributions 🔮

Dr. Qiuping Li’s legacy is defined by his relentless pursuit of knowledge and his commitment to advancing mathematical research. His work in graph theory and cryptography will continue to influence academic discourse and practical applications in cybersecurity. As he progresses in his career, he is poised to further bridge the gap between theoretical mathematics and real-world problem-solving, paving the way for new breakthroughs in secure systems and network analysis. His dedication to research and education ensures that his contributions will leave a lasting imprint on both academia and industry.

Publications


  • 📄 A New Family of Multipartition Graph Operations and Its Applications in Constructing Several Special Graphs

    • Authors: Qiuping Li, Liangwen Tang, Qingyun Liu, Mugang Lin

    • Journal: Symmetry

    • Year: 2025


  • 📄 Infinite Numbers of Infinite Classes of L-Borderenergetic Graphs

    • Authors: Qiuping Li, Liangwen Tang

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2023


  • 📄 Construction of Order-Energetic Graphs

    • Authors: Qiuping Li, Liangwen Tang, Qingyun Liu, Mugang Lin

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2024


  • 📄 Graph Energy Change on Edge Deletion

    • Authors: Liangwen Tang, Mugang Lin, Qiuping Li

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2023


  • 📄 Lightweight Block Ciphers

    • Authors: Li Lang, Li Qiuping

    • Publisher: Huazhong University of Science and Technology Press

    • Year: 2020


 

Massimo Bertaccini | Computer Science | Best Innovation Award

Dr. Massimo Bertaccini | Computer Science | Best Innovation Award

Cryptolab Inc | United States

Author Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Massimo Bertaccini's journey into cryptography and cybersecurity began with a strong foundation in finance and mathematics. He obtained his Bachelor’s degree in Science of Finance from the University of Bologna, where he developed an early interest in computational finance and its applications. This passion led him to pursue a Ph.D. in Mathematics and Computational Finance, further honing his skills in cryptographic algorithms and secure data management techniques. Through advanced studies, he acquired a robust technical background that later shaped his career in cyber innovation and cryptographic research.

Professional Endeavors 🚀

Dr. Bertaccini has made significant strides in the field of cryptography. In 2009, he founded Cryptolab, a research laboratory focused on pioneering solutions in cryptography, blockchain, and cybersecurity. His innovative leadership at Cryptolab attracted substantial financial backing from private investors, international venture capitalists, and the European Union. Under his guidance, Cryptolab earned recognition as one of the best cybersecurity start-ups in California in 2023. Dr. Bertaccini also served as CEO for PrimeCash, contributing to his reputation as an expert in both cybersecurity and cryptographic finance. His experience includes consulting in finance and security, holding academic roles, and serving as a contract professor at EMUNI University and a lecturer in national cybersecurity programs.

Contributions and Research Focus 📚

Throughout his career, Dr. Bertaccini has focused on advancements in cryptographic algorithms and secure data systems. His groundbreaking work led to the development of the first Homomorphic Crypto-Searching-Engine (CSE), a revolutionary tool that allows encrypted data to be searched without compromising security or privacy. His research interests encompass areas such as symmetric and asymmetric encryption, blockchain, zero-knowledge protocols, and quantum cryptography. He holds several patents, including those in homomorphic encryption, zero-knowledge protocols, and innovative brain-wave authentication technologies. In addition, he is a published author of numerous scientific articles and has written the popular book Cryptography Algorithms, which has been widely recognized in cryptographic literature.

Accolades and Recognition 🏆

Dr. Bertaccini’s pioneering contributions have been celebrated globally. His book Cryptography Algorithms became a #1 bestseller on Amazon Worldwide in 2022, staying in the top 10 for cryptography literature for 40 weeks. He has received numerous prestigious awards, including the "Inventors of Silicon Valley" award by the U.S. Patent and Trademark Office in 2016 and the "Seal of Excellence" by Horizon 2020 in 2017, 2018, and 2019. In 2023, he was honored with the American Innovation Prize by the Italian-American Foundation, further cementing his status as a leading figure in the field.

Impact and Influence 🌐

Dr. Bertaccini has had a profound impact on the fields of cybersecurity and cryptography. His innovations have set new standards for data security, influencing policies on GDPR compliance and data privacy. His Homomorphic Crypto-Searching-Engine has inspired advancements in data encryption, particularly for GDPR-compliant technologies. Through his international speaking engagements at conferences like CES Las Vegas, he has shared his insights on cybersecurity trends and cryptographic solutions, shaping the future of data security practices. His work has also contributed to building resilient infrastructure for smart cities and secure digital frameworks.

Legacy and Future Contributions 🔮

Looking to the future, Dr. Bertaccini’s vision continues to push the boundaries of cybersecurity and cryptographic applications. His upcoming project, Brain_Waves, is a neural interface designed to authenticate users through brainwave recognition, a groundbreaking step in neural cryptography. His legacy will likely endure through both his published works and the widespread adoption of his cryptographic patents. Dr. Bertaccini remains dedicated to advancing cybersecurity, blockchain, and cryptographic innovations, setting a lasting example for future generations of researchers and cybersecurity professionals.

 

Publications


📘 Cryptography Algorithms 2nd Edition: Explore New Algorithms in Zero-Knowledge, Homomorphic Encryption, and Quantum Cryptography

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2024


📘 An Introduction to a New Lightweight Encryption Algorithm: Cybpher

Author: JW Massimo Bertaccini Ph.D.
Publication: Cryptography Algorithms 2nd Edition
Year: 2023


📘 Cryptography Algorithms: A Guide to Algorithms in Blockchain, Quantum Cryptography, Zero-Knowledge Protocols, and Homomorphic Encryption

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2022


 

Kalyanapu Srinivas | Computer Science | Best Researcher Award

Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

 

Publications 📚


  • Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
    Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
    Journal: Remote Sensing
    Year: 2023

  • Article: User-segregation based channel estimation in the MIMO system
    Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
    Journal: Physical Communication
    Year: 2023

  • Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
    Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
    Book: Cognitive Science and Technology
    Year: 2023

  • Article: Plant disease classification using deep bilinear CNN
    Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
    Journal: Intelligent Automation and Soft Computing
    Year: 2022

  • Article: Symmetric key generation algorithm using image-based chaos logistic maps
    Authors: Srinivas, K., Janaki, V.
    Journal: International Journal of Advanced Intelligence Paradigms 🧠
    Year: 2021

 

Abidemi Adeniyi | Computer Science | Best Researcher Award

Mr. Abidemi Adeniyi | Computer Science | Best Researcher Award

Bowen University, Iwo | Nigeria

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Mr. Abidemi Adeniyi's early academic journey began at New Oko Oba Primary School in Lagos State, Nigeria, where he completed his primary education in 2001. He then attended Obaji Comprehensive High School in Ekan-Nla, Kwara State, graduating in 2007 with a Secondary School Leaving Certificate. His post-secondary education started at Kwara State Polytechnic, Ilorin, where he earned a Higher National Diploma in Computer Science with Upper Credit in 2014. He furthered his studies at the University of Ilorin and Ladoke Akintola University of Technology, culminating in a B.Sc. in Computer Science with Second Class Upper Division in 2019 and an M.Sc. in Computer Science with Distinction in 2021. Currently, he is pursuing a Ph.D. in Computer Science at the University of Ilorin.

Professional Endeavors

Mr. Adeniyi has amassed substantial professional experience across various academic and industry roles. He currently serves as a Lecturer II at Bowen University in Osun State, Nigeria, since October 2023, where he is involved in teaching, research, and curriculum development. Prior to this, he was an Assistant Lecturer at Precious Cornerstone University, Ibadan, from March 2022 to September 2023, and a Technologist at Landmark University, where he handled practical courses and organized programming languages and computer hardware practical classes from November 2016 to March 2022. His industry experience includes roles as a Software/Web Developer at Tetrad Solution Limited and an ICT Desk Officer at the NYSC State Secretariat in Umuahia.

Contributions and Research Focus

Mr. Adeniyi's research interests are focused on Information Security using Cryptographic Algorithms, Internet of Things Security, Cloud Security, Network Security, Computational Complexity of Cryptographic Algorithms, Machine Learning, and Information Systems. He has developed proficiency in various programming languages and frameworks, including C/C++, Java, Python, Assembly Language, Spring framework, Node.JS, and Flutter. His academic contributions include several publications and presentations at international conferences, showcasing his research on cryptographic algorithms and security.

Accolades and Recognition

Mr. Adeniyi's excellence in research and teaching has been recognized through several awards and honors. He was listed as one of the top 500 researchers/authors in Nigeria by SCOPUS/SCIVAL in 2021 and 2022. He has received travel and registration grants for attending prestigious conferences, including the 2024 IEEE Conference on Secure and Trustworthy ML (SaTML) in Toronto and the ICCV 2023 DEI travel and registration grant. His distinctions also include the Certificate of Reviewer from MDPI Journal and Egyptian Informatics Journal, and an Award of Excellence in Technical Skill from Landmark University.

Impact and Influence

Throughout his career, Mr. Adeniyi has had a substantial impact on both the academic and professional communities. He has mentored numerous students, guiding them in their academic and research pursuits. His role in curriculum development and community service at various institutions has contributed to the academic quality and standards. His collaboration with industry partners to develop practical applications and solutions has further enhanced his influence in the field of computer science and information technology.

Legacy and Future Contributions

Mr. Adeniyi's dedication to excellence in teaching, learning, and research is evident in his continuous pursuit of knowledge and problem-oriented research aimed at solving immediate societal problems. His legacy is marked by his contributions to academia and industry, and his future endeavors are expected to further advance the fields of information security, cryptography, and machine learning. He remains committed to mentoring the next generation of computer scientists and contributing to the development of innovative solutions to contemporary challenges.

 

Notable Publications

A systematic review on elliptic curve cryptography algorithm for internet of things: Categorization, application areas, and security 2024

EASESUM: an online abstractive and extractive text summarizer using deep learning technique 2024

A biometrics-generated private/public key cryptography for a blockchain-based e-voting system 2024

Dark and Light Triad: A cross-cultural comparison of network analysis in 5 countries 2023 (4)

Implementation of a block cipher algorithm for medical information security on cloud environment: using modified advanced encryption standard approach 2023 (8)

 

Satheesh Kumar M | Computer Science | Best Research Award

Mr. Satheesh Kumar M | Computer Science | Best Research Award

K.L.N. College of Engineering | India

Author Profile

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Early Academic Pursuits

Mr. Satheesh Kumar's academic journey began at St. Mary's Higher Secondary School in Dindigul, where he completed his S.S.L.C in 1999. He then attended NSVV Boys Higher Secondary School, also in Dindigul, where he completed his H.S.C in 2001. Mr. Kumar pursued a B.E. in Computer Science and Engineering from PSNA College of Engineering and Technology, graduating with first-class honors in 2005. He continued his education with an M.E. in Computer Science and Engineering from the University College of Engineering, Trichirapalli, Anna University, Chennai, also graduating with first-class honors in 2012. Currently, he is pursuing a part-time Ph.D. in Information and Communication Engineering at Anna University, having submitted his synopsis in April 2024.

Professional Endeavors

With over 18 years and 4 months of academic experience, Mr. Satheesh Kumar has been serving as an Assistant Professor in the Department of Information Technology at K.L.N. College of Engineering, Madurai, since September 2005. He also mentors at Infinity Uniquers Consulting Services (KLNCE - TBI) and is a Certified Data Scientist by NIELIT, Chennai, Government of India. His career objective is to achieve great heights through continuous learning, maintaining dynamism, vision, and competitiveness in the challenging global scenario.

Contributions and Research Focus

Mr. Satheesh Kumar has significantly contributed to the academic and professional fields through his roles and research. As the Department NBA Coordinator, he has played a crucial role in the accreditation processes in 2012, 2016, and 2023. He has also served as the NAAC Criteria 1 Coordinator and has been instrumental in establishing the industry-collaborated Honeywell Sentience Lab on campus. His consultancy work includes collaborations with Honeywell Technologies Solutions and Sundaram Medical Devices. Mr. Kumar mentors startup initiatives such as Infinity Uniquers Consulting Services and has received project funds from MSME and IISc Bangalore. His academic contributions include coordinating the Department Board of Studies (BoS) process, managing various department laboratories, and mentoring student projects that have received state-level recognition and awards.

Accolades and Recognition

Mr. Satheesh Kumar's excellence in teaching and research has been recognized through numerous awards and honors. He received the Young Achiever Award from the Institute for Exploring Advances in Engineering (IEAE) in June 2018. He has organized national events such as hackathons, project contests, and seminars and has secured funds for Faculty Development Training Programs (FDTP) from Anna University, Chennai. His efforts in mentoring students and coordinating academic and research activities have been acknowledged through various awards and recognitions at institutional and state levels.

Impact and Influence

Mr. Satheesh Kumar has had a substantial impact on both academia and industry. He has mentored numerous students, guiding them in their academic and research pursuits. His industry collaborations have led to practical applications and solutions, including projects like "Hello Friend" and "Micro Zoom Zone," which have received significant awards and recognition. His active involvement in accreditation, quality assurance, and innovation promotion has contributed to the academic quality and standards of his institution.

Legacy and Future Contributions

Mr. Satheesh Kumar's legacy is marked by his dedication to academic excellence, research innovation, and industry collaboration. His future contributions are expected to continue in the same vein, focusing on enhancing educational practices, fostering research and development, and mentoring the next generation of engineers and researchers. His ongoing Ph.D. pursuit and continuous engagement in academic and professional activities reflect his commitment to lifelong learning and contribution to the field of Information Technology.

 

Notable Publications

A public static agreement key based cryptography for secure data transmission in WSN based smart environment application 2024

Modelling Air Pollution and Traffic Congestion Problem Through Mobile Application 2023

I2RED: Integrated IRED based congestion control for data transmission in sensor cloud networks 2015

 

 

Leda Kamal | Engineering | Best Researcher Award

Ms. Leda Kamal | Engineering | Best Researcher Award

Toc H Institute of Science and Technology | India

Author Profile

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Early Academic Pursuits

Leda Kamal pursued her academic journey with a strong focus on Computer Science & Engineering. She obtained her M.Tech in Computer Science & Engineering and is currently engaged in pursuing her Ph.D. Her early academic pursuits laid a solid foundation for her future endeavors in the field.

Professional Endeavors

With over a decade of experience in academia, Leda Kamal has held various positions, starting as a Lecturer at Holy Matha College of Technology, then progressing to positions at Ilahia College of Engineering & Technology and Toc H Institute of Science & Technology. Currently, she serves as an Assistant Professor at Toc H Institute of Science & Technology.

Contributions and Research Focus

Leda Kamal's research interests primarily revolve around Blockchain, Deep Learning, and Cryptography. Her contributions to these areas include publications such as "Blockchain: A Compendium on Contemporary Privacy Preservation Approaches and its Manifestation in Varied Realms" and "Enhanced Technique for Privacy Preserving Public Auditing for Shared Data in Cloud."

Accolades and Recognition

Her work has been recognized and published in various esteemed platforms, including international journals and conferences. Noteworthy publications include "NVSS scheme for digital image sharing" and "Enhanced RSA combined with DWT domain watermarking."

Impact and Influence

Through her research and academic contributions, Leda Kamal has made a significant impact on the fields of Blockchain, Deep Learning, and Cryptography. Her work has contributed to advancements in privacy preservation, data security, and digital image sharing.

Legacy and Future Contributions

With a strong foundation in academia and a dedication to cutting-edge research, Leda Kamal is poised to continue making meaningful contributions to the fields of Computer Science & Engineering. Her legacy will be marked by her commitment to innovation, scholarly excellence, and the pursuit of knowledge in emerging technologies.

Notable Publications

Metaverse Creation And Decentralized Land NFTs Over Blockchain 2023

Blockchain: A Compendium on Contemporary Privacy Preservation Approaches and Its Manifestation in Varied Realms 2022 (1)