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Dr. Gokulakrishnan S

Associate Professor
  • Teaching

About

Dr. Gokulakrishnan S is an Associate Professor in the field of Computer Science, with over 19 years of academic experience encompassing teaching, research, and academic administration. He completed his Postdoctoral Research in Artificial Intelligence and Data Analytics in 2022 at Ton Duc Thang University and the Industrial University of Ho Chi Minh City, Vietnam. His postdoctoral work focused on advanced AI methodologies and data-driven analytical frameworks. Dr. Gokulakrishnan earned his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering in 2021 from Sathyabama Institute of Science and Technology, Tamil Nadu. His doctoral research specialized in Cloud Computing, with an emphasis on system scalability, efficiency, and performance optimization. He holds both a Bachelor’s degree and a Master’s degree in Information Technology, providing a strong academic foundation in computing technologies and systems. Dr. Gokulakrishnan has made significant scholarly contributions through publications in Web of Science (WoS) and Scopus-indexed journals, and through presentations at several international conferences. His research reflects a balance between theoretical rigor and practical applicability. In addition to his research contributions, he is a committed educator and mentor, dedicated to academic excellence and the professional development of students. His teaching philosophy emphasizes critical thinking, innovation, and preparedness for emerging challenges in the digital and technological landscape.

Education

  • Post Doc – Artificial Intelligence and Data Analytics, Ton Duc Thang University & Industrial University of Ho Chi Minh City (Vietnam), 2023

  • Ph.D – Cloud Computing, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, 2021

  • M.Tech – Information Technology, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, 2011

  • B.Tech – Information Technology, Pallavan College of Engineering, Anna University, Tamil Nadu, 2005

Experience

  • Assistant Professor, Dayananda Sagar University, Bengaluru, 2023 - 2025

  • Assistant Professor, Presidency University, Bangalore, Karnataka, 2022 - 2023

  • Assistant Professor, SCSVMV Deemed To Be University, Kanchipuram, Tamilnadu, 2014 - 2022

  • Assistant Professor, Rajiv Gandhi College of Engineering, Sriperumbudur, Tamilnadu, 2009 - 2014

  • Lecturer, Kanchi Pallavan Engineering College, Kanchipuram, Tamilnadu, 2005 - 2009

Additional Information

  • Academic Interests: Dr. Gokulakrishnan’s areas of academic and research interest include Artificial Intelligence, Data Analytics, Cloud Computing, Human–Computer Interaction, and Web Technologies. His work emphasizes scalable, data-driven solutions with real-world relevance. Professional Contributions: He has delivered several advanced courses, including Research Methodology, Responsible AI Ethics in Computing, and Human–Computer Interaction, for undergraduate and postgraduate programs. Publications & Scholarly Output: Dr. Gokulakrishnan has published numerous articles, papers, and conference presentations in both international journals and archival conferences indexed in Web of Science (WoS) and Scopus. His research spans topics such as AI in recruitment processes and data science applications. Books / Academic Resources: He has contributed to academic resources, including works on Data Science fundamentals and teaching materials related to Linux systems and Human–Computer Interaction. Editorial & Review Roles: Dr. Gokulakrishnan serves as a peer reviewer and editorial contributor for international conferences and journals, contributing to academic quality and scholarly dissemination. Industry & Academic Engagement: As an active academician, he participates in workshops, curriculum development initiatives, and academic committees to foster research culture and high standards in computing education.

Teaching

  • Cloud Computing

  • Amazon Web Services

  • Human Computer Interaction

  • Data Structures

  • Web Technology

  • Front End Full Stack

  • Data Science and Analytics

Responsibilities

  • Deliver UG and PG courses with a focus on Outcome-Based Education (OBE) and student-centric learning.

  • Implement innovative teaching practices including PBL, flipped classrooms, and ICT-enabled instruction.

  • Actively contribute to NBA, NAAC, and IQAC activities, including CO-PO attainment and accreditation documentation.

  • Engage in research, publications, patents, and IPR mentoring.

  • Guide UG, PG, and Ph.D. projects, supporting research, publications, and innovation.

  • Mentor students for hackathons, startups, and entrepreneurial initiatives.

  • Serve as coordinator for academic, research, and quality-assurance activities.

  • Organize FDPs, workshops, seminars, and support professional bodies and student forums.

  • Promote ethical research practices, academic integrity, and lifelong learning.

Research Guidance

  • Dr. Gokulakrishnan S has actively guided students at various academic levels, mentoring them in: Undergraduate capstone projects, Postgraduate research projects, Doctoral (Ph.D.) research theses, Project-based learning and innovation initiatives. His guidance has helped students publish research articles, contribute to patents, and pursue careers in academia and industry.

Research Interest

  • Human Computer Interaction

  • Data Science and Analytics

  • Cloud Computing

Books

  • Bridging Human and Machine Intelligence Through Deep Learning Pandit publications ISBN: 978-93-48908-81-0

  • Cloud Services Management charulatha publications ISBN: 978-93-6260-465-1

  • Foundation of Data Science Pandit Publications ISBN: 978-93-93769-71-8

  • Machine Learning Charulatha Publications ISBN: 978-93-5577-058-5

  • Virtualization Privacy Concerns in Cloud Computing Environments: A Taxonomy Kalaivani Publications (Amazon Kindle Edition) ASIN: B09P46894P

Conferences

  • 2025-A Comprehensive Deep Learning Framework for Physical Vehicle Fitness Testing and Document Validation Senthil Kumar A, Senthilkumar J, Selvaraj Kesavan, Gokulakrishnan S, Nagaraj S

  • 2025-Designing a Custom Linux Distribution for Improved Accessibility S Gokula Krishnan, Khushi S Rotti, Kushal Hali, Sanskruthi Kinagi, Rahul Joy Suneel S

  • 2025-An Adaptive Machine Learning Framework for Detection and Mitigation of Rogue Access Points (RAPs) in WLAN J. Sebastian Nixon, C. Ganesh, B.Murugesakumar, U Pavan Kumar, Gokulakrishnan, Rajesh L

  • 2025-An Optimized Deep Learning based Framework for Cognitive State Classification using Brain-Computer Interface Technologies E. Padma, Gokulakrishnan S, R. Chithra, ArulKumar R, M. Kalaiselvi

  • 2025-An Efficient Elderly Fall Monitoring and Detection System using Machine Learning and Computer Vision Senthil Kumar A, Selvaraj Kesavan, Rajkumar Bhojan, Kakarla Maanasa, Gokulakrishnan S, Rajasekaran Selvaraju

  • 2025-Enhancing Marketing Strategies through Big Data-Driven Customer Journey Mapping: An Analysis Using Machine Learning Algorithms Vignesh Janarthanan, Saurabh Pratap Singh Rathore, Karthikayen A, Sripelli Jagadish, Pooja Bhardwaj, Gokulakrishnan S

  • 2024-Exploring the Role of Artificial Intelligence in Enhancing Chatbot Functionality Gayatri Parasa, Deepak Kumar Nayak, Amit Gangopadhyay, M. Stanlywit, S. Gokulakrishnan, Priya Sharma IEEE Xplore

  • 2024-Distributed Self-Localization with Improved Optimization with Machine Learning in IoT Applications Zahraa Hameed Jaber, Mohammed Ihsan, S. Gokulakrishnan, Hanaa Ali Alshaibani, Fatima H. Alsalamy, Hussein Al-Aboudy IEEE Xplore

  • 2024-Predictive Analytics for Heart Failure Outcomes Using Machine Learning Techniques Ms. Priyanka P. Pawar, Mrs Shital Gajbhiye, Dr. Komal Dhanraj Deshmukh (Deosarkar) and Dr. Gokulakrishnan S

  • 2024-Predictive Analytics in Animal Health: Leveraging AI and Machine Learning for Livestock Management Ms. Anagha Deepak Kulkarni, Mrs. Pallavi S. Thakare, Mrs. Shubhangi Ravindra Shelar and Dr. Gokulakrishnan S

  • 2021-Effective Predictive Maintenance to Overcome System Failures - A Machine Learning Approach Sai Kumar Chilukuri, Nagendra Panini Challa, J.S. Shyam Mohan, S. Gokulakrishnan, R. Vasanth Kumar Mehta, A. Purnima Suchita Springer Nature

  • 2020-Data Integrity and Recovery Management in Cloud Systems S. Gokulakrishnan, J.M. Gnanasekar IEEE Xplore

  • 2020-Potential Subscriber Detection Using Machine Learning M. Adithi Mookambal, S. Gokulakrishnan Springer Nature

  • 2018-Use of Flipped Classroom in Data Structure Course S. Gokulakrishnan International Journal Of Research Culture Society

Journals

  • 2025-An efficient fuzzy logic and artificial intelligence based optimization strategy for bigdata healthcare system Ravi Kumar, S. Gokulakrishnan, S. N. V. J. Devi Kosuru, R. Praveen Kumar, Thota Radha Rajesh Edelweiss Applied Science and Technology Scopus Indexed - Open Access

  • 2025-Multi Objective Fuzzy Network Based Big Data Analytics System for Energy Consumption Prediction in Smart Grid R. Praveen Kumar, Ravi Kumar, S. Gokulakrishnan, S. N. V. J. Devi Kosuru, Neeraj Shrivastava, Jyothi P Journal of Machine and Computing Scopus Indexed - Open Access

  • 2025-A Comparative Assessment for Examining the Performance of Reconfigurable Multiband MIMO Antennas for Communication Systems S. N. V. J. Devi Kosuru, R. Praveen Kumar, Ravi Kumar, S. Gokulakrishnan, Abhisek Sethy, Velagapudi Sreenivas Journal of Information Systems Engineering and Management Scopus Indexed - Open Access

  • 2024-Detecting Anomaly Intrusions in Digital Network Traffic Using Machine Learning Approach J. Sebastian Nixon, Admasu Desalegn, J. Jeya A Celin, S. Gokulakrishnan, A. Senthil Kumar Journal of Systems Engineering and Electronics

  • 2023-An optimized facial recognition model for identifying criminal activities using deep learning strategy S. Gokulakrishnan, Prasun Chakrabarti, Bui Thanh Hung & S. Siva Shankar International Journal of Information Technology, Springer SCI Indexed

  • 2021-Blockchain based Public Distribution System Sumathy V, Brahmadesam Viswanathan Krishna, S. Gokulakrishnan, Harikrishnan G Turkish Online Journal of Qualitative Inquiry (TOJQI), Vol. 12, Issue 3, June 2021: 2206-2212 Scopus Indexed

  • 2019-Efficient and Privacy for Data Integrity and Data Replication in Cloud Computing S. Gokulakrishnan, J.M. Gnanasekar International Journal of Innovative Technology and Exploring Engineering Scopus Indexed - Open Access

  • 2019-Data Integrity and Recovery Management under Peer to Peer Convoluted Fault Recognition Cloud Systems S. Gokulakrishnan, J.M. Gnanasekar Journal of Computational and Theoretical Nanoscience Scopus Indexed - Open Access

  • 2018-An Approach to E-Certificate Designing with Auto-Emailing S. Gokulakrishnan International Journal of Scientific Research & Engineering Trend UGC Care

  • 2017-Peer to Peer Convoluted Fault Recognition to Conquer Single Point Stoppage in Cloud Systems S. Gokulakrishnan, Dr. J.M. Gnanasekar International Journal of Pure and Applied Mathematics Scopus Indexed - Open Access

Others

  • Till date, a total of 23 patents have been filed and published in various emerging technology domains including Artificial Intelligence, IoT, Machine Learning, Cloud Computing, Blockchain, Smart Healthcare, Smart Agriculture, Energy Optimization, and Cyber Security. In addition, 1 Copyright has also been filed and published.

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