Aman Bin Jantan | Computer Science | Best Researcher Award

Posted on 26/03/202526/03/2025 by Book of Award

Assoc. Prof. Dr. Aman Bin Jantan | Computer Science | Best Researcher Award

Universiti Sains Malaysia | Malaysia

Author Profile

Early Academic Pursuits 🎓

Assoc. Prof. Dr. Aman Bin Jantan's academic journey is rooted in a strong foundation in computer science. He earned his Bachelor’s degree (1993) and Master’s in Computer Science (AI) (1996) from Universiti Sains Malaysia (USM), where he laid the groundwork for his expertise in artificial intelligence and software engineering. His research on FrameLog Compiler Construction during his MSc reflected an early inclination toward programming languages and AI-driven system development. His PhD in Software Engineering (2002) from USM further solidified his prowess, focusing on the redefinition of expert system development languages—a groundbreaking contribution to the field.

Professional Endeavors 🏢

Dr. Aman has had an extensive career in both academia and industry. His professional journey began as a Research Officer at USM’s AI Lab in 1993, followed by roles as a Graduate Assistant and Lecturer. His passion for education saw him taking up lecturing positions at Stamford College, UiTM Shah Alam, and USM. Apart from academia, he ventured into the tech industry by establishing his own ICT business, offering software solutions, IT services, and computer training. Since 2002, he has been an integral part of USM’s School of Computer Sciences, where he now serves as an Associate Professor.

Contributions and Research Focus 🔬

Dr. Aman’s research spans across multiple domains, including:
Information Security – Intrusion Detection, Cyberwarfare, Encryption, Steganography, and Electronic Forensics.
Software Engineering – Fault Tolerance, Component-Based System Development, and Software Quality Assurance.
Artificial Intelligence – Machine Learning, Neuro-Fuzzy Systems, and Expert Systems.

His work on network security, intrusion detection, and machine learning-driven cybersecurity solutions has significantly impacted the field. His innovative Honeybee Intelligent Model for Network Zero-Day Attack Detection is a notable contribution that has been widely recognized.

Accolades and Recognition 🏆

Dr. Aman’s excellence in teaching and research has earned him multiple Excellent Service Awards (2007, 2011, 2020). His publications in high-impact journals, including those on financial crime prevention, AI-driven profiling, and cybersecurity measures, have established him as a thought leader in his domain.

Impact and Influence 🌍

As an academic and researcher, Dr. Aman has shaped the next generation of cybersecurity experts and software engineers. His workshops, mentorship, and leadership in the field of information security have influenced policy-making and corporate cybersecurity strategies. His Security and Forensic Research Group Laboratory at USM is a hub for cutting-edge research in cyber defense technologies.

Legacy and Future Contributions 🚀

Dr. Aman’s contributions to artificial intelligence, cybersecurity, and software engineering will continue to shape the landscape of digital security and computing. His commitment to advancing cybersecurity education and research ensures that future professionals will be well-equipped to tackle emerging threats in an increasingly digital world. With a strong portfolio of research, industry collaborations, and mentorship, Dr. Aman remains a driving force in the evolution of AI-driven security solutions. His future work is expected to redefine the intersection of AI and cybersecurity, making digital systems safer and more resilient.

Publications

📄 Enhancing Neighborhood-Based Co-Clustering Contrastive Learning for Multi-Entity Recommendation
- Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Z. Liu, Zhe
- Journal: Engineering Applications of Artificial Intelligence
- Year: 2025

📄 Digital Forensic Investigation on Social Media Platforms: A Survey on Emerging Machine Learning Approaches
- Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi
- Journal: Journal of Information Science Theory and Practice
- Year: 2024

📄 Digital Forensics Investigation Approaches in Mitigating Cybercrimes: A Review
- Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi
- Journal: Journal of Information Science Theory and Practice
- Year: 2023

📄 A Machine Learning Classification Approach to Detect TLS-Based Malware Using Entropy-Based Flow Set Features (Open Access)
- Authors: K. Keshkeh, Kinan; A.B. Jantan, Aman Bin; K. Alieyan, Kamal
- Journal: Journal of Information and Communication Technology
- Year: 2022

📄 Multi-Behavior RFM Model Based on Improved SOM Neural Network Algorithm for Customer Segmentation (Open Access)
- Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Y. Ruan, Yunfei; C. Zhou, Changmin
- Journal: IEEE Access
- Year: 2022

Prudence Munyaradzi Mavhemwa | Computer Science | Best Researcher Award

Posted on 06/01/202506/01/2025 by Book of Award

Mr. Prudence Munyaradzi Mavhemwa | Computer Science | Best Researcher Award

University of Rwanda |Rwanda

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Early Academic Pursuits 🎓

Prudence Munyaradzi Mavhemwa embarked on his academic journey with an unwavering passion for computer science and technology. He earned a Bachelor of Science (Hons) in Computer Science from Bindura University of Science Education in 2008, laying a solid foundation in programming, system analysis, and database management.
Later, he pursued a Master of Science in Computer Science at the University of Zimbabwe (2010–2012), where he delved deeper into advanced computational methods and application development. Recognizing the need to foster education, he added a Postgraduate Diploma in Tertiary Education (2015–2016) from Bindura University, enhancing his pedagogical expertise.
Currently, he is completing a PhD in Embedded Computing Systems (2020–2024) at the University of Rwanda, focusing on improving user authentication in the Internet of Medical Things (IoMT) in Rwanda under the mentorship of distinguished supervisors from the University of Rwanda and the University of Pretoria.

Professional Endeavors 💻

Mr. Mavhemwa's professional journey spans over a decade of academic and technical contributions. He began his career as a Software Developer Intern at Provenance Support Company in Harare, developing payroll and MIS systems.
At Bindura University of Science Education, he ascended to the role of Chairman of the Computer Science Department (2019–2022) and served as a full-time lecturer (2010–2024), imparting knowledge in programming languages, artificial intelligence, and computer security.
In addition to his full-time commitments, he contributed to Zimbabwe Ezekiel Guti University as a part-time lecturer, showcasing his dedication to advancing computer science education across institutions.

Contributions and Research Focus 🔬

Mr. Mavhemwa’s research focuses on cutting-edge topics, including:

Usable security and IoT for development (IoT4D).
Health informatics, particularly adaptive authentication models for medical applications.
He has contributed significantly through innovative projects such as an IoMT adaptive authentication system for the elderly and user-centered designs leveraging machine learning and wearable technology.
His expertise has guided several undergraduate research projects, influencing the next generation of computing professionals.

Accolades and Recognition 🏆

Mr. Mavhemwa’s academic rigor and professional excellence have earned him recognition in multiple domains. As a peer reviewer for prestigious journals like Heliyon and the Journal of Cybersecurity and Privacy, he has demonstrated his commitment to advancing scientific discourse.
His published works span innovative topics such as mobile-based learning, adaptive authentication systems, and health informatics, with notable articles in Springer and IOP Publishing.

Impact and Influence 🌟

Through his teaching and leadership roles, Mr. Mavhemwa has significantly impacted the academic community. His tenure at Bindura University was marked by efforts to modernize computer science curricula and foster a culture of innovation. His research has implications for both academia and practical applications, particularly in enhancing security protocols in healthcare and improving educational accessibility through technology.

Legacy and Future Contributions 🔮

As Mr. Mavhemwa continues to refine his PhD research and publish groundbreaking studies, his work is set to influence the fields of IoT, health informatics, and user-centered design. His dedication to academic mentorship and innovative problem-solving ensures a lasting legacy in computer science education and research.

Publications

📖 An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly
Journal of Cybersecurity and Privacy
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

📖 Weighted Naïve Bayes Multi-User Classification for Adaptive Authentication
Journal: Journal of Physics Communications
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

📖 An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly
Journal: Preprint
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

📖 User-Centred Design of Machine Learning-Based Internet of Medical Things (IoMT) Adaptive User Authentication Using Wearables and Smartphones
Journal: Book Chapter in Lecture Notes in Networks and Systems
Year: 2023
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

📖 Uniform Spatial Subdivision to Improve Boids Algorithm in a Gaming Environment
Journal: International Journal of Advance Research and Development
Year: 2018
Author: Prudence Munyaradzi Mavhemwa

Junwei Du | Computer Science | Best Researcher Award

Posted on 17/12/202417/12/2024 by Book of Award

Prof. Junwei Du | Computer Science | Best Researcher Award

Qingdao University of Science and Technology | China

Author Profile

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Early Academic Pursuits 🎓

Prof. Junwei Du embarked on his academic journey with a strong foundation in computer science. He earned his Ph.D. in Computer Software and Theory from Tongji University in 2010. His thirst for international exposure led him to become a Visiting Scholar at Arizona State University, USA, in 2014. Further enriching his skills, Prof. Du attended the AI Training Workshop for Young Backbone hosted by the University of Queensland and the University of Technology, Sydney, Australia, in September 2018.

Professional Endeavors 💼

Prof. Junwei Du is currently Executive Vice Dean of the School of Data Science at Qingdao University of Science and Technology. His professional affiliations include being a Distinguished Member of CCF and holding memberships in prestigious committees like the China Computer Society's Software Engineering Specialised Committee and the China Automation Society's Network Information Service Committee. Additionally, he serves as a Director of the Shandong Artificial Intelligence Society, underscoring his leadership in the field.

Contributions and Research Focus 🔬

Prof. Du's research focuses on cutting-edge areas like intelligent software engineering, graph representation learning, and recommendation algorithms. He has led numerous high-impact projects, including a National Natural Science Foundation of China top-level project, two provincial funds, and a key R&D project in Shandong Province. His work has also extended to over 10 national vertical projects and nine enterprise-driven horizontal projects. Prof. Du has published more than 60 academic papers in renowned journals such as Information Sciences, Software Journal, and Expert Systems with Applications. His research has significantly contributed to software fault prediction, cross-domain recommendation systems, and privacy-preserving algorithms in IoT.

Accolades and Recognition 🏆

Prof. Junwei Du’s achievements have earned him notable accolades. As a key participant, he received the Third Prize of Shandong Provincial Scientific and Technological Progress and the Third Prize of Shandong Provincial Teaching Achievement. He has also guided his students to excel in prestigious competitions, leading them to win over 20 national awards in software design and testing.

Impact and Influence 🌍

Through his extensive contributions, Prof. Junwei Du has shaped the landscape of intelligent software systems and data science education. His leadership in research and teaching has inspired countless students to pursue innovation. Prof. Du’s work on ensemble learning, recommendation algorithms, and software fault prediction holds significant implications for industries ranging from IT to industrial IoT, enhancing technological efficiency and reliability.

Legacy and Future Contributions 🔮

Prof. Junwei Du continues to build a legacy of excellence, bridging academia and industry with transformative research and mentorship. His focus on emerging areas like graph representation learning and cross-domain recommendation systems will pave the way for smarter AI applications. By fostering collaboration and innovation, he is set to make lasting contributions to data science and software engineering, empowering the next generation of researchers and professionals.

Publications

📄 Improving Bug Triage with the Bug Personalized Tossing Relationship
Authors: Wei Wei, Haojie Li, Xinshuang Ren, Feng Jiang, Xu Yu, Xingyu Gao, Junwei Du
Journal: Information and Software Technology
Year: 2025

📄 A Privacy-Preserving Cross-Domain Recommendation Algorithm for Industrial IoT Devices
Authors: Yu X., Peng Q., Lv H., Du J., Gong D.
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

📄 Research on Efficient Data Warehouse Construction Methods for Big Data Applications
Authors: Zhao C., Du J., Wang F., Li H.
Journal: Applied Mathematics and Nonlinear Sciences
Year: 2024

📄 A Cross-Domain Intrusion Detection Method Based on Nonlinear Augmented Explicit Features
Authors: Yu X., Lu Y., Jiang F., Du J., Gong D.
Journal: IEEE Transactions on Network and Service Management
Year: 2024

📄 A Multi-Behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning
Authors: Yu J., Jiang F., Du J.W., Yu X.
Journal/Proceedings: Communications in Computer and Information Science
Year: 2024

Ousmane Thiare | Computer Science | Best Scholar Award

Posted on 10/10/202410/10/2024 by Book of Award

Prof Dr. Ousmane Thiare | Computer Science | Best Scholar Award

Université Gaston Berger | Senegal

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Early Academic Pursuits 🎓

Professor Ousmane Thiare's academic journey began at Gaston Berger University (UGB), Senegal, a prestigious institution where he would later spend much of his career. He joined UGB in 1994 and demonstrated academic excellence, earning a Diploma of Advanced Studies (DEA) in Applied Mathematics in 2000. Eager to expand his knowledge, he continued his studies abroad at the Polytechnic School of the François Rabelais University of Tours (Polytech'Tours), obtaining a second DEA in Computer Science in 2002. His academic pursuits culminated in 2007 when he earned a Doctorate in Computer Science from CY Cergy Paris University in France.

Professional Endeavors 👨‍🏫

After completing his studies, Professor Thiare embarked on a teaching career that began right at the institution where he was trained, UGB. In 2002, he started as a Full Assistant in Computer Science. His dedication and expertise quickly saw him rise through the ranks, becoming an Assistant Professor in 2008 and later a Lecturer with Accreditation (HDR) from 2010 to 2015. Beyond Senegal, his teaching experience extended to Nigeria, where he served as an Associate Professor at the African University of Science and Technology (AUST) in Abuja from 2014. In 2015, Professor Thiare was promoted to Full Professor at UGB, a position of immense respect. By April 2021, he was further recognized as a Full Professor of Exceptional Class of Universities, underscoring his contributions to academia.

Contributions and Research Focus 🔬

Professor Thiare's contributions extend beyond teaching. His research spans critical areas such as Computer Science, Information and Communication Technologies (ICT), and Mathematics. As Head of the Computer Science Department at UGB's UFR of Applied Sciences and Technology between 2007 and 2009, he influenced the direction of academic programs. He was instrumental in coordinating the Third Cycle in Computer Science in 2011 and later served as Director of the Ousmane Seck Computing Center from 2013. From 2017 to 2020, Professor Thiare led the African Center of Excellence for Mathematics, Computer Science, and ICT (CEA-MITIC), a World Bank-funded project aimed at providing world-class education in STEM fields. His leadership in this $8 million initiative was crucial in developing skilled professionals in ICT, Computer Science, and Mathematics across Africa.

Accolades and Recognition 🏅

Professor Thiare’s accomplishments have garnered numerous accolades. In 2021, he was elected as a Full Member of the National Academy of Sciences and Technology of Senegal (ANSTS), in the Fundamental, Applied, and Innovation Sciences (SFAI) section, recognizing his significant contributions to science and technology. As an Expert Evaluator for the National Authority for Quality Assurance of Higher Education (ANAQ-Sup) since 2014, he has contributed to maintaining high educational standards across Senegal. He also serves on the Scientific and Pedagogical Council of the Doctoral School of Science and Technology at UGB, reflecting his influence in shaping future academic research and educational programs.

Impact and Influence 🌍

From May 2018 to March 2023, Professor Thiare served as Rector of Gaston Berger University, leading one of Senegal's foremost institutions. As Rector, he played a pivotal role in guiding the university’s academic programs, fostering partnerships with international institutions, and ensuring the adoption of cutting-edge technologies to make UGB globally competitive. His role as Principal Authorizing Officer of UGB’s budget allowed him to influence not only academic policy but also the strategic use of financial resources to promote education and research. Under his leadership, UGB also spearheaded major projects such as the Mastercard Foundation Scholars Program, which secured nearly $38 million in funding to train 1,000 scholars, 70% of whom are women, in digital technology, health, agriculture, and engineering by 2031. This initiative has empowered young African talents to make meaningful contributions to their communities.

Legacy and Future Contributions 🌟

Professor Thiare's legacy as a trailblazer in African higher education is well-established. Through his work at CEA-MITIC, UGB, and various national and international platforms, he has helped shape the landscape of STEM education in Africa. His dedication to improving the quality of higher education, combined with his strategic leadership in academic programs and technological innovation, has left an indelible mark.

Publications

📄 Hardware Development and Evaluation of Multihop Cluster-Based Agricultural IoT Based on Bluetooth Low-Energy and LoRa Communication Technologies
Authors: Effah, E., Ghartey, G., Aidoo, J.K., Thiare, O.
Journal: Sensors
Year: 2024

📄 Data collection in IoT networks: Architecture, solutions, protocols and challenges
Authors: Abba Ari, A.A., Aziz, H.A., Njoya, A.N., Thiare, O., Mohamadou, A.
Journal: IET Wireless Sensor Systems
Year: 2024

📄 A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon
Authors: Dtissibe, F.Y., Ari, A.A.A., Abboubakar, H., Mohamadou, A., Thiare, O.
Journal: Scientific African
Year: 2024

📄 Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
Authors: Abba Ari, A.A., Ngangmo, O.K., Titouna, C., Mohamadou, A., Gueroui, A.M.
Journal: Applied Computing and Informatics
Year: 2024

📄 A collaborative WSN-IoT-Animal for large-scale data collection
Authors: Abdoul Aziz, H., Abba Ari, A.A., Ndam Njoya, A., Mohamadou, A., Thiare, O.
Journal: IET Smart Cities
Year: 2024

Abidemi Adeniyi | Computer Science | Best Researcher Award

Posted on 30/05/202431/05/2024 by Book of Award

Mr. Abidemi Adeniyi | Computer Science | Best Researcher Award

Bowen University, Iwo | Nigeria

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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

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

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