SAMEERCHAND PUDARUTH | Artificial Intelligence | Academic Excellence Award

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Assoc. Prof. Dr. SAMEERCHAND PUDARUTH | Artificial Intelligence | Academic Excellence Award

Assoc. Prof. Dr. SAMEERCHAND PUDARUTH, University of Mauritius, Mauritius

Dr. Sameerchand Pudaruth is an Associate Professor in the Faculty of Information, Communication & Digital Technologies at the University of Mauritius. With a PhD in Artificial Intelligence, his expertise spans machine learning, computational linguistics, and data science. His academic journey reflects a deep commitment to technological advancement and knowledge dissemination. Having served as Head of the ICT Department (2019–2021), he played a key role in shaping academic policies and research initiatives. Dr. Pudaruth is an accomplished author and a sought-after researcher, contributing significantly to AI, distributed systems, and digital transformation. His membership in prestigious organizations such as IEEE, ACM, and IAENG highlights his standing in the global research community. Beyond academia, he is dedicated to mentoring students, fostering innovation, and driving interdisciplinary collaboration in AI. His work continues to bridge the gap between theoretical research and practical AI applications, making significant strides in Mauritius and beyond.

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Suitability for the Research for Best Researcher Award – Associate Professor Dr. Sameerchand Pudaruth

Dr. Sameerchand Pudaruth is a distinguished academic and researcher in Artificial Intelligence, Computer Science, and related fields, with a strong background in teaching, research, and leadership. With over two decades of experience, he has contributed significantly to the advancement of AI, distributed systems, multimedia, and computational linguistics. His PhD in Artificial Intelligence, combined with his legal studies, positions him uniquely at the intersection of AI and law, demonstrating an interdisciplinary approach to research.

His extensive publication record, including book chapters, conference proceedings, and journal articles, highlights his dedication to pushing the boundaries of AI, machine learning, and computational methodologies. His research contributions in legal text classification, intelligent systems, and IT support services optimization have real-world applications, making his work both academically rigorous and practically relevant. His leadership roles, including serving as Head of the ICT Department and holding senior positions in IEEE and ACM, reflect his commitment to advancing research and fostering collaboration in the global research community.

🎓 Education

Dr. Sameerchand Pudaruth holds a PhD in Artificial Intelligence from the University of Mauritius, awarded in 2020, focusing on AI-driven decision-making systems. His academic portfolio includes an MSc in Computer Science with a specialization in Distributed Systems and Multimedia (2004–2006) and a BSc (Hons) in Computer Science and Engineering (First Class) from the same institution (2000–2003). In addition, he pursued legal studies, earning an LLB from the University of London (2009–2012) and completing the Law Practitioner’s Vocational Course (2013). This diverse educational background equips him with a unique interdisciplinary perspective, blending AI, computational intelligence, and legal analytics. His continuous professional development is evident through active participation in research forums, conferences, and international collaborations. Dr. Pudaruth’s academic journey reflects a commitment to lifelong learning, innovation, and thought leadership in artificial intelligence and digital technologies.

💼 Professional Experience

Dr. Sameerchand Pudaruth has been an integral part of the University of Mauritius since 2007. Currently serving as an Associate Professor (since 2022), he previously held the positions of Senior Lecturer (2016–2022) and Lecturer (2007–2016). He also served as Head of the ICT Department (2019–2021), where he spearheaded academic advancements and research collaborations. His career is marked by expertise in AI, machine learning, and data-driven technologies, leading various projects focused on intelligent systems. He has mentored numerous postgraduate students and contributed extensively to curriculum development. Dr. Pudaruth’s industry collaborations have reinforced his reputation as a pioneer in applied AI research. His leadership in conferences and symposiums underscores his commitment to advancing knowledge in computational sciences. As an educator, researcher, and innovator, he continuously pushes the boundaries of AI applications, influencing both academia and industry.

🏅 Awards and Recognition

Dr. Sameerchand Pudaruth’s contributions to AI and computational research have earned him numerous accolades. He has been a Senior IEEE Member since 2020, recognizing his significant professional achievements. His role as a founding member and Vice-Chair of IEEE Mauritius Section (2018–2021) highlights his leadership in fostering AI research communities. He has received research grants and recognition for outstanding publications in AI, machine learning, and computational linguistics. His book “Python in One Week” (2010) and multiple Springer book chapters have cemented his reputation in AI education. His work on machine learning applications in law and data science has been widely cited, further amplifying his global impact. His membership in ACM, IAENG, and the Association for Computational Linguistics reflects his standing in the international AI research community. Through groundbreaking research, academic leadership, and scholarly contributions, Dr. Pudaruth continues to be a driving force in AI innovation.

🌍 Research Skills On Artificial Intelligence

Dr. Sameerchand Pudaruth specializes in artificial intelligence, machine learning, and computational linguistics. His expertise spans natural language processing, legal informatics, and AI-driven decision-making models. He has pioneered research in AI applications for law, healthcare, and distributed systems. With a deep understanding of neural networks, deep learning, and intelligent automation, he has contributed significantly to AI-driven knowledge systems. His work includes feature selection using evolutionary algorithms, predictive modeling, and sentiment analysis. He has led interdisciplinary collaborations to advance AI ethics, data privacy, and algorithmic fairness. His ability to translate complex AI concepts into real-world applications has led to impactful research publications. As a member of international AI organizations, he remains at the forefront of technological advancements, constantly exploring innovative solutions. Dr. Pudaruth’s research continues to influence academia, industry, and public policy, making AI more accessible and applicable across diverse domains.

 📖 Publication Top Notes

  1. Plant leaf recognition using shape features and colour histogram with K-nearest neighbour classifiers
    • Authors: T. Munisami, M. Ramsurn, S. Kishnah, S. Pudaruth
    • Citations: 262
    • Year: 2015
  2. People factors in agile software development and project management
    • Authors: V. Lalsing, S. Kishnah, S. Pudaruth
    • Citations: 195
    • Year: 2012
  3. Predicting the price of used cars using machine learning techniques
    • Authors: S. Pudaruth
    • Citations: 183
    • Year: 2014
  4. Automatic Recognition of Medicinal Plants using Machine Learning Techniques
    • Authors: A. Begue, V. Kowlessur, U. Singh, F. Mahomoodally, S. Pudaruth
    • Citations: 123
    • Year: 2017
  5. A review of mobile ad hoc NETwork (MANET) Protocols and their Applications
    • Authors: D. Ramphull, A. Mungur, S. Armoogum, S. Pudaruth
    • Citations: 98
    • Year: 2021
  6. Authorship attribution using stylometry and machine learning techniques
    • Authors: H. Ramnial, S. Panchoo, S. Pudaruth
    • Citations: 71
    • Year: 2016
  7. Sentiment analysis from Facebook comments using automatic coding in NVivo 11
    • Authors: S. Pudaruth, S. Moheeputh, N. Permessur, A. Chamroo
    • Citations: 53
    • Year: 2018
  8. Forgotten, excluded or included? Students with disabilities: A case study at the University of Mauritius
    • Authors: U. Singh, S. Pudaruth, R. Gunputh
    • Citations: 30
    • Year: 2017
  9. Resource allocation in 4G and 5G networks: A review
    • Authors: L.N. Degambur, A. Mungur, S. Armoogum, S. Pudaruth
    • Citations: 29
    • Year: 2021
  10. SuperFish: A Mobile Application for Fish Species Recognition using Image Processing Techniques and Deep Learning
  • Authors: P. Sameerchand, N. Nadeem, A. Chandani, K. Somveer, V. Munusami, S. Pudaruth
  • Citations: 26
  • Year: 2021

Ghulam Mohi-ud-din | AI | Best Researcher Award

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Prof. Ghulam Mohi-ud-din | AI | Best Researcher Award

👤 Prof. Ghulam Mohi-ud-din, Northwestern Polytechnical University, China

Ghulam Mohi-ud-din is a highly skilled and accomplished professional in Software Engineering and Computer Science. Born in Rawalpindi, Pakistan, he has garnered extensive international experience in academia and industry. Holding a PhD in Software Engineering from the University of Florida, he has contributed to the field through teaching, research, and product development roles. With experience at prestigious institutions such as IBM, Oracle, and Nanchang Hangkong University, Ghulam’s work focuses on Artificial Intelligence, Machine Learning, and Software Engineering. His expertise in developing and coordinating large-scale projects and mentoring students has earned him recognition in the tech community.

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🌟  Summary of Suitability for the Research for Best Researcher Award:

Ghulam Mohi-ud-din is highly suitable for the Research for Best Researcher Award due to his extensive academic background, international exposure, and remarkable contributions to the fields of software engineering, artificial intelligence, and computer science. He has obtained a Ph.D. in Software Engineering from the prestigious University of Florida, USA, further solidifying his academic expertise. His earlier degrees, including a Master’s in Computer Science from the University of Florida and a Bachelor’s in Software Engineering from the University of Arizona, reflect his strong foundation in both theoretical and practical aspects of software development.

His professional journey demonstrates a unique combination of teaching, research, and industry experience. As a faculty member at Nanchang Hangkong University in China, he has significantly impacted students’ learning in areas such as Artificial Intelligence, Machine Learning, and Software Engineering.

🎓 Education

Ghulam Mohi-ud-din’s educational journey is marked by excellence in software engineering and computer science. He completed his PhD in Software Engineering from the University of Florida, USA, in January 2022, furthering his research in Artificial Intelligence. Prior to this, he obtained his Master of Science in Computer Systems Networking and Telecommunications from the same university in 2010. His academic career began with a Bachelor of Science in Software Engineering from the University of Arizona, USA, in 2007. Throughout his studies, Ghulam consistently demonstrated a strong aptitude for problem-solving and innovative thinking, especially in areas involving AI and data communication. His educational background laid a robust foundation for his subsequent professional achievements.

 💼  Professional Experience

Ghulam Mohi-ud-din’s career spans academia and industry, where he has made significant contributions. He currently serves as a faculty member at Nanchang Hangkong University in China, teaching courses in Artificial Intelligence, Machine Learning, Software Engineering, and Networking. Before this, he was a Product Development Coordinator at ResearchEx Ltd. in London, managing project costs, schedules, and performance. His previous roles at IBM as a Data Administrator and at Oracle Corporation as a Database Administrator allowed him to develop expertise in database management, system administration, and project coordination. Additionally, Ghulam has extensive experience in mentoring students, overseeing research projects, and securing funding for various academic initiatives. His work reflects a blend of technical knowledge and practical application, making him a key player in both academia and the technology industry.

🏅 Awards and Recognition

Throughout his career, Ghulam Mohi-ud-din has earned numerous accolades and recognition for his exceptional work in software engineering and academia. His research contributions in Artificial Intelligence and Machine Learning have been widely recognized in both academic and professional circles. He has successfully secured funding for various research projects, including a $25,000 grant for his work at Oracle Corporation. His leadership in the academic community, particularly in teaching and mentoring students, has made a lasting impact. Additionally, Ghulam’s innovative work in database management and system administration at IBM and Oracle garnered praise for its strategic insights and efficiency. His dedication to advancing technology and education has positioned him as a respected figure in the field of computer science.

🌍 Research Skills On AI

Ghulam Mohi-ud-din possesses a robust skill set in software engineering and artificial intelligence research. His expertise spans data analysis, machine learning, AI algorithms, and system architecture. He is proficient in applying research methodologies to develop innovative solutions in complex technological fields, including network communications and software testing. Throughout his academic and professional career, he has demonstrated an exceptional ability to design and execute research projects that lead to meaningful outcomes, including published papers and conference presentations. His work involves creating security protocols, optimizing system performance, and contributing to cutting-edge AI research. Ghulam is also skilled at managing interdisciplinary teams, coordinating projects, and mentoring students to foster research excellence. His research is characterized by a blend of theoretical knowledge and practical application, making him a versatile and accomplished researcher in his field.

📖 Publication Top Notes

  • A Wireless Sensor Network for Coal Mine Safety Powered by Modified Localization Algorithm
    • Authors: Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din
    • Citation: Heliyon (2024-12)
  • Click-level Supervision for Online Action Detection Extended from SCOAD
    • Authors: Xiang Zhang, Yuhan Mei, Ye Na, Xia Ling Lin, Genqing Bian, Qingsen Yan, Ghulam Mohi-ud-din, Chen Ai, Zhou Li, Wei Dong
    • Citation: Future Generation Computer Systems (2024-12)
  • Unmanned Aerial Vehicle Intrusion Detection: Deep-meta-heuristic System
    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din
    • Citation: Vehicular Communications (2024-04)
  • Real-time Portrait Image Retouching Extended from DualBLN
    • Authors: Xiang Zhang, Dawei Yan, Genqing Bian, Chengzhe Lu, Sifei Wang, Ghulam Mohi-ud-din, Qingsen Yan, Wei Dong
    • Citation: Expert Systems with Applications (2024-03)
  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique
    • Authors: Ghulam Mohi-ud-din, Liu Zhiqiang, Zheng Jiangbin, Wang Sifei, Lin Zhijun, Muhammad Asim, Yuxuan Zhong, Yuxin Chen
    • Citation: IEEE Transactions on Network and Service Management (2023-12)
  • Intrusion Detection Using Hybridized Meta-heuristic Techniques with Weighted XGBoost Classifier
    • Authors: Ghulam Mohiuddin, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng
    • Citation: Expert Systems with Applications (2023-12)
  • Intrusion Detection in Wireless Sensor Network Using Enhanced Empirical Based Component Analysis
    • Authors: Liu Zhiqiang, Ghulam Mohiuddin, Zheng Jiangbin, Muhammad Asim, Wang Sifei
    • Citation: Future Generation Computer Systems (2022-10)
  • NIDS: Random Forest Based Novel Network Intrusion Detection System for Enhanced Cybersecurity in VANET’s
    • Authors: Ghulam Mohi-ud-din, Jiangbin Zheng, Zhiqiang Liu, Muhammad Asim, Jiajun Chen, Jinjing Liu, Zhijun Lin
    • Citation: 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI) (2022-10)
  • A Novel Deep Learning-Based Security Assessment Framework for Enhanced Security in Swarm Network Environment
    • Authors: Zhiqiang Liu, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Muhammad Asim
    • Citation: International Journal of Critical Infrastructure Protection (2022-09)
  • Modeling Network Intrusion Detection System Using Feed-Forward Neural Network Using UNSW-NB15 Dataset
    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Li Bing, Luo Jianchao, Zhu Ye, Lin Zhijun
    • Citation: 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE) (2019-08)