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.
đź’Ľ 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.
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
- 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
- People factors in agile software development and project management
- Authors: V. Lalsing, S. Kishnah, S. Pudaruth
- Citations: 195
- Year: 2012
- Predicting the price of used cars using machine learning techniques
- Authors: S. Pudaruth
- Citations: 183
- Year: 2014
- Automatic Recognition of Medicinal Plants using Machine Learning Techniques
- Authors: A. Begue, V. Kowlessur, U. Singh, F. Mahomoodally, S. Pudaruth
- Citations: 123
- Year: 2017
- 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
- Authorship attribution using stylometry and machine learning techniques
- Authors: H. Ramnial, S. Panchoo, S. Pudaruth
- Citations: 71
- Year: 2016
- Sentiment analysis from Facebook comments using automatic coding in NVivo 11
- Authors: S. Pudaruth, S. Moheeputh, N. Permessur, A. Chamroo
- Citations: 53
- Year: 2018
- 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
- Resource allocation in 4G and 5G networks: A review
- Authors: L.N. Degambur, A. Mungur, S. Armoogum, S. Pudaruth
- Citations: 29
- Year: 2021
- 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