The Division of Data Science and Cyber Security prepares students to become skilled data scientists, cybersecurity professionals, and technology leaders capable of solving complex challenges in the digital era. The Division offers an interdisciplinary academic environment that integrates data science, artificial intelligence, machine learning, cybersecurity, cloud computing, digital forensics, blockchain, quantum computing, and intelligent systems.
Through research-driven teaching, practical learning, industry engagement, and innovation, the Division equips students with strong technical knowledge and problem-solving capabilities. Our faculty bring diverse academic and professional expertise to foster a collaborative learning environment, enabling students to explore emerging technologies, undertake impactful research, develop industry-relevant solutions, and build successful careers in rapidly evolving technology domains.
Faculty Experts
The Division of Data Science and Cyber Security offers students, partners and collaborators access to world-class
expertise in data science, cyber security, and intelligent systems.
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Our Faculty Members
Dr. E. Grace Mary Kanaga, M.Tech. Ph.D
Dr. E. Grace Mary Kanaga is Professor & Head of the Division of Data Science and Cyber Security, with expertise in Artificial Intelligence, Machine Learning, Big Data Analytics, and Brain-Computer Interface research. She has successfully led government-funded research projects, guided Ph.D. scholars, and published extensively in high-impact international journals. Her academic leadership and contributions have earned multiple professional awards and recognition.
Dr. P. William, M.Tech., Ph.D, Post Doctoral Fellowship
Dr. P. William is a Professor (Research) specializing in Artificial Intelligence, Machine Learning, Cloud Computing, Cyber Security, and IoT. He has been recognized among the World's Top 2% Scientists by Stanford University and Elsevier (2023–2025) and has an outstanding record of research publications, books, and international collaborations in emerging technologies.
Prof. Joseph Jeyaranjan Nargunam is a Professor of Practice with over 25 years of experience in IT infrastructure, cloud computing, cybersecurity, and digital transformation. He has successfully led large-scale technology programs across North America, Europe, and Asia, bringing extensive industry expertise to academia.
Dr. Shamila Ebenezer A is an Associate Professor in the Division of Data Science and Engineering with over 22 years of teaching, research, and mentoring experience. Her expertise includes Artificial Intelligence, Machine Learning, Data Science, and Computer Vision, with several funded research projects and high-impact publications. She is passionate about advancing innovative research and mentoring future technology professionals.
Dr. K. Rebecca Jebaseeli Edna is an Associate Professor with expertise in Applied Probability, Statistics, and Acceptance Sampling Plans. Her research focuses on Fuzzy and Neutrosophic Acceptance Sampling, supported by extensive publications, research guidance, and over two decades of teaching experience in Mathematics and Data Science.
Dr. M. Roshni Thanka is an Associate Professor in the Division of Data Science and Cyber Security with expertise in Machine Learning, Deep Learning, Cloud Computing, and IoT. She has extensive research publications, funded projects, patents, and industry certifications, with a strong focus on AI-driven solutions and academic excellence.
Dr. V. Ebenezer is an Associate Professor in the Division of Data Science and Cyber Security with expertise in Data Analytics, Python Programming, Cloud Computing, and Machine Learning. His research focuses on the Internet of Things (IoT) and Artificial Intelligence, supported by numerous international publications, patents, and Microsoft certifications.
Dr. Jenefa A is an Associate Professor, Division of Data Science and Cyber Security, Karunya Institute of Technology and Sciences, Coimbatore. Specializes in Artificial Intelligence, Computer Vision, Data Science, and Biomedical Engineering, with extensive teaching, research, and academic leadership experience. Published 20+ journal papers, 60 conference papers, and 6 book chapters, with an H-index of 13 and over 550 citations.
Dr. Vidhya K is an Associate Professor in the Division of Data Science and Cyber Security at Karunya Institute of Technology and Sciences. She specializes in Generative AI, Deep Learning, Computer Vision, Cloud Computing, and IoT, with over 18 years of teaching experience. Her research focuses on AI-driven healthcare analytics and intelligent systems, supported by numerous SCI/Scopus-indexed publications, patents, and authored books.
Dr. Antony Taurshia is an Assistant Professor specializing in Computer Science with expertise in Internet of Things (IoT), Cyber Security, and Artificial Intelligence. His teaching and research focus on network security, AI-driven data science, and secure computing solutions. He has contributed to reputed journals and conferences and is actively involved in advancing research and innovation in emerging technologies.
Dr. J. Biju is an Assistant Professor with expertise in Soft Computing, Network Automation, Image Processing, and Affective Computing. Actively engaged in AI and Deep Learning research, with multiple Scopus-indexed publications and patents, and passionate about teaching Computer Networks, DBMS, and emerging technologies.
Mr. Rahul R, Assistant Professor, Division of Data Science and Cyber Security, with expertise in Cyber Security, Ethical Hacking, Digital Forensics, and Networking. Currently pursuing a Ph.D. at Karunya Institute of Technology and Sciences and actively contributing to research in secure cyber-physical systems and intrusion detection.
Mrs. J. Srija is an Assistant Professor with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things (IoT), Cloud Computing, and Data Analytics. She combines academic excellence with practical software industry experience, enabling her to bridge theoretical concepts with real-world applications.
Mrs. K. Esther Lipni is an Assistant Professor with expertise in Machine Learning, Deep Learning, Internet of Things, Computer Vision, Cloud Computing, and Security. She is passionate about teaching and research, with interests spanning Python, Web Technologies, Cryptography, and Data Mining. She has published research in engineering journals and is committed to advancing innovative, technology-driven solutions.
Ms. Divina T P is an Assistant Professor specializing in Cyber Security, Data Science, Machine Learning, and Deep Learning. Her research focuses on secure intelligent systems and AI-driven solutions, supported by recent international publications. She is passionate about teaching cybersecurity and data science-related subjects.
Ms. Shivanthana is an Assistant Professor specializing in Cyber Security, Network Security, Cryptography, Generative AI, and Digital Forensics. Her research focuses on AI-driven cybersecurity solutions, and her teaching interests include Artificial Intelligence, Blockchain, Deep & Machine Learning, and Cryptography.
Mrs. J. Cynthia is an Assistant Professor with expertise in Machine Learning, Deep Learning, Computer Vision, and Cyber Security. She is actively engaged in research, innovation, and teaching, with patented contributions in AI-based security and ongoing doctoral research in Computer Science and Engineering.
Dr. H. Jude Immaculate is an Assistant Professor with expertise in Topology, Fuzzy Topology, Intuitionistic Fuzzy Sets, Machine Learning, IoT, and Wireless Sensor Networks. Actively engaged in research, publications, patents, and teaching in Mathematics and emerging interdisciplinary technologies.
Mr. F. Allwin Edilbert is an Assistant Professor with expertise in Data Science, Machine Learning, Artificial Intelligence, and Big Data Analytics. His research focuses on healthcare data science, deep learning, and sports analytics, with publications and a book chapter to his credit. He is passionate about innovative teaching and interdisciplinary research in emerging technologies.
Ms. Amala Nikitha George is an Assistant Professor in Data Science and Cyber Security with expertise in cybersecurity, post-quantum cryptography, and quantum computing. She holds an M.S. in Cybersecurity from Northeastern University and has research, teaching, and industry experience in threat analysis, cryptography, and AI. Her work includes published research, security risk assessment, and advanced cybersecurity projects, complemented by professional certifications such as CompTIA Security+.
Ms. Ahima Prasad is an Assistant Professor specializing in Artificial Intelligence, Data Science, Machine Learning, NLP, and Generative AI, with teaching, industry, and research experience. Passionate about developing secure AI solutions, mentoring students, and building intelligent applications using modern AI frameworks and technologies.
