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Faculty & Staff

Mr. Naren J
Contact

Mr. Naren J

Assistant Professor

  • School/College

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

Mr. Naren. J is currently working as Assistant Professor, Department of CSE, Faculty of Engineering and Technology, MS Ramaiah University of Applied Sciences, Bangalore. He has 16 years of Experience in the field of Teaching. His Research Interests are Brain Computing, Cognitive Science, Explainable AI, Machine Learning, Machine Learning Operations (Mlops), Deep Learning. He has 72 papers published in International Journals and International Conferences. He is an Editor in 22 International Journals and a Reviewer in 19 International Journals. He is also a Technical Program Committee Member and Reviewer at 47 International Conferences. He had been as ExCom Member of IEEE – Computer Society, Bangalore Chapter and the student branch Co-ordinator for IEEE – CS Chapter at Alliance University. He has been the ACM Membership Chair for the Student Chapter at JAIN (Deemed-to-be University), Bangalore. He is a Life Member in CSI, ISTE and a member of many Professional Bodies. He is currently the Student Branch Coordinator (SBC) of the Student Chapter of Computer Society of India (CSI) at SASTRA Deemed University, Thanjavur. He has also guided 40 Projects at the Post Graduate Level and 16 Projects at the Undergraduate Level. At the School of Computing, he has organized many Workshops, Faculty Development Programs, Seminars and 2 International Conferences. He has also been the Co-chairperson of three International Conferences. He is a recipient of so many awards namely Excellence of Teaching in Higher Education Award, Young Scientist Award, Best Computer Science Faculty Award, Longest Continuous Student Branch Co-ordinator Award in Computer Society of India, Best Paper Presenter in International Conferences Award and many other awards.

Qualifications

  • Ph.D. in Computer Science and Engineering (Pursuing from 2021)

    Hindustan Institute of Technology and Science, Chennai/ Hindustan University, Chennai

  • M.Tech - Computer Science and Engineering

    SRM Institute of Science and Technology, Chennai/ SRM University, Chennai. 2007

  • M.C.A - Computer Applications

    St. Joseph’s College of Engineering, Chennai / Anna University, Chennai. 2005

  • B. Sc.- Computer Science

    Alpha Arts and Science College, Chennai /University of Madras. 2002

Experience

Total Years of Experience: 16 Years and 9 Months
Academic Experience : 16 Years
  • Working as Assistant Professor, Department of CSE, Faculty of Engineering and Technology, MS Ramaiah University of Applied Sciences, Bangalore – March 2025 – till date.
  • Worked as an Assistant Professor, Department of CSE, Alliance College of Engineering and Design, Alliance University - From Sept 2023 – Feb 2025.
  • Worked as an Assistant Professor, School of CS and IT, JAIN (Deemed-to-be University), Bangalore - From June 2022 - August 2023.
  • Worked as a Mentor, PG Diploma in AI and Machine Learning - Great Learning, Mumbai - from April 2020 - Dec 2020. (Part – Time Freelancer)
  • Doctoral Reseacher - Self Employed - from Nov 2019 – April 2020. (Freelancer)
  • Worked as an Assistant Professor (Grade – II) in the Department of CSE – School of Computing, SASTRA Deemed University, Thanjavur – from July 2013 – Nov 2019. 
  • Worked as an Assistant Professor in the Department of MCA – School of Engineering and Technology, Jain Deemed University, Bangalore from July 2011 – June 2013. 
  • Worked as a Lecturer in the Department of MCA, St. Joseph's College of Engineering from June 2007 – May 2011. 
  • Worked as a Teaching Associate in the Department of CSE, School of Engineering, SRM Deemed University in from April 2007 – May 2007. 
Research Experience : 9 Months
  • Worked as Senior Faculty CSE, iNurture Education Private Limited, Bangalore - From August 2021 – April 2022.      .

  • Cognitive Computing
  • Affective Computing
  • Explainable AI
  • Machine Learning
  • Machine Learning Operations (Mlops)
  • Deep Learning.

  • Dr. D. Sumathi, Prof. Naren. J, Mrs. S. Gayathri, Mr. Amit Joshi. (2024). Responsible Implementations of Generative Al. https://doi.org/10.5281/zenodo.14598117

  • IEEE Young Professionals Association – Mentor 2024.
  • IEEE Internship Mentor – IAMPro 2024.
  • Internship Co-ordinator – IAMPro 2024.
  • Executive Committee Member – IEEE – Computer Society – Bangalore Chapter 2024.
  • Session Chair in three Conferences – ICDEC 2024, ICICI 2025, ICDAM 2025.
  • BEST INNOVATIVE TEACHER AWARD – Knowledge Research Academy – August 2024.
  • Outstanding Post Graduate Faculty - Mentoring Award – Novel Research Academy – June 2024.
  • IEEE CS - Faculty Advisor – SBC – Alliance University from Dec 2023 – Feb 2025.
  • Dr. Sarvepalli Radhakrishnan Best Faculty & Researcher Award 2022 in Artificial Intelligence - IMRF Awards · Sep 2022.
  • Best Researcher Award - INSO Awards · Jul 2022.
  • International Academic Excellence Award in Computer Science - Centre for Professional Development · Jul 2022.
  • Program Head - Department of Computer Applications – JAIN (Deemed-to-be University), 12th July 2022 – 30th Nov 2022.
  • I2OR International Teaching Excellence Award 2021 - World Teacher’s Day, 5th Oct 2021, International Institute of Organized Research (I2OR), 2021.
  • Excellence in Research - Science Father, SHEN 2021, International Conference on Health and Engineering 2021.
  • Outstanding Scientist Award – VDGOOD Technology Factory, 9th International Scientist Awards on Engineering, Science and Medicine, 12th -13th Sept 2020, Tamil Nadu, India.
  • Best Faculty Award (Male) – IARE Awards 2020, 2nd International Academic and Research Excellence Awards 2020, Oct 3rd, 2020, Goa, India.
  • Shiksha Bharati Award – Indian Achievers Forum, Indian Achievers Award 2020, July 2020, India.
  • Most Distinguished Professor and Researcher of Computer Science, Tamil Nadu – Brands Impact Media LLP – Education Excellence Awards, May 12th, 2020, India.
  • Innovative Researcher of the Year – RULA Awards, International Research Ratna Awards, Trichy, May 10th, 2020, India.
  • Chief Anchor Citation – Chief Anchor in VDGOOD, Chennai, Tamil Nadu, India, 15th Feb 2020.
  • Paper Presenter at International Conferences - Computer Society of India, CSI 2020 Annual Student Convention, KIIT University, Bhubaneswar, 18th Jan 2020.
  • Longest Continuous Student Branch Coordinator Award - Computer Society of India, CSI 2020 Annual Student Convention, KIIT University, Bhubaneswar, 18th Jan 2020.
  • Best Computer Science Faculty Award – ASDF Global Awards, Green Lanes, London, UK, 30th Dec 2019.
  • Young Scientist Award – VDGOOD, Chennai, Tamil Nadu, India, 14th September 2019.
  • Excellence in Teaching for Higher Education Award – DK Research Foundation, Tamil Nadu, 30th Jun 2019.

Conference Papers
  • Selvam, M., Naren, J., HS, V.K., Reddy, K.M.N. and Teja, A., 2025, February. Simple Engineering in Saline Monitoring System Using IoT. In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (pp. 693-698). IEEE.
  • Sudharshana, N., Naren, J. and Sumathi, D., 2023, December. Leveraging ML Algorithms to Predict IT Job Opportunities and Inform Programme Approval. In International Conference on Computing and Network Communications (pp. 61-70). Singapore: Springer Nature Singapore.
  • Sudharshana, N., Naren, J. and Sumathi, D., 2023, December. Prediction of Student Performance in Online Classes During COVID-19 Pandemic. In International Conference on Computing and Network Communications (pp. 685-699). Singapore: Springer Nature Singapore
  • Naren, J. and Durga, V.S., 2024, June. Instantaneous Envelope and Energy Features for LCL Activation based complementary 1D-CNN in EEG Stress classification. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE. 
  • Mehta, S., Tiwari, S., Siarry, P. and Jabbar, M.A. (eds.) (2022) Tools, Languages, Methodologies for Representing Semantics on the Web of Things. John Wiley & Sons.
  • Natarajan, V., Naren, J., Naresh, S. and Kumar, V.H.S. (2022) 'Job Prediction for Students and Program Approval in Universities', 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE Xplore Digital Library.
  • Naren, J. (2022) 'Applications of Swarm Intelligence and Machine Learning for COVID-19', in Swarm Intelligence and Machine Learning, pp. 51-70. CRC Press.
  • Ganesan, V. et al. (2021) 'Hybrid Intelligent System Tool to Improve Technological Growth in Science and Technology (S&T) Sector by Identifying the GAP', in Advances in Electronics, Communication and Computing: Select Proceedings of ETAEERE 2020, pp. 299-314. Springer Singapore.
  • Ganesan, V. et al. (2020) 'Egocentric Vision for Dog Behavioral Analysis', in International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy, pp. 325-336. Springer Nature Singapore.
  • Naren, J. et al. (2021) 'A Machine Learning Model for Predicting Academic Performance of Students Through Internet Usage', in Advances in Electronics, Communication and Computing: Select Proceedings of ETAEERE 2020, pp. 315-324. Springer Singapore.
  • Ganesan, V. et al. (2021) 'Analysis, Prediction and Maintenance of Teaching learning process by Empathize Students’ View', in Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020.
  • Ganesan, V. et al. (2021) 'Deep learning based smart surveillance robot', in Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020.
  • Naren, J. et al. (2021) 'A Deep Learning Model for Investigation on Human Body Movements and Action', in Advances in Electronics, Communication and Computing: Select Proceedings of ETAEERE 2020, pp. 337-353. Springer Singapore.
  • Ganesan, V. et al. (2021) 'Post-COVID-19 Emerging Challenges and Predictions on People, Process, and Product by Metaheuristic Deep Learning Algorithm', in Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020, pp. 275-287. Springer Singapore.
  • Ganesan, V., Naren, J. and Rajarajeswari, P. (2020) 'QoS Routing in Internet of Things (IoT) by Context Aware Agent priority by Meta Computational Intelligence for Evidence-based E-Health Services', in Proceedings of the International Conference on Innovative Computing & Communications (ICICC).
  • Ganesan, V. et al. (2020) 'Eccocentric Vision for Coconut Tree Analysis and Prediction', in Proceedings of the International Conference on Innovative Computing & Communications (ICICC).
  • Bhavesh Shri Kumar, N. et al. (2020) 'Scene Text Recognition: A Preliminary Investigation on Various Techniques and Implementation Using Deep Learning Classifiers', in International Conference on Innovative Computing and Communications: Proceedings of ICICC 2019, Volume 1, pp. 233-242. Springer Singapore.
  • Srivathsan, S., Sreenithi, B. and Naren, J. (2020) 'Detection and Prediction of Schizophrenia Using Magnetic Resonance Images and Deep Learning', in Cognitive Informatics and Soft Computing: Proceeding of CISC 2019, pp. 97-105. Springer Singapore.
  • Jaswanth, V. and Naren, J. (2020) 'A System for the Study of Emotions with EEG Signals Using Machine Learning and Deep Learning', in Cognitive Informatics and Soft Computing: Proceeding of CISC 2019, pp. 59-65. Springer Singapore.
  • Naren, J., Revathy, S., Sangavi, R. & Srimathi, V. (2017) 'News analytics and dual sentiment analysis for stock market prediction', International Conference on Inventive Computation Technologies, pp. 1-2.
  •  Mohanraj, I., Ashokumar, K. & Naren, J. (2016) 'Field monitoring and automation using IoT in the agriculture domain', Procedia Computer Science, 93, pp. 931-939.
  •  Mohanraj, I. & Naren, J. (2016, March) 'The application of semantic web on the agricultural domain—A state-of-the-art survey', 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1596-1599. IEEE.
  • Mohanraj, I. & Naren, J. (2016, March) 'An architectural framework for e-agricultural system', 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1600-1604. IEEE.
  • Naren, J., Ashokkumar, K. & Raghavendran, V. (2016, March) 'Semantic feedback on students' performance with data mining techniques: State-of-the-art survey', 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1605-1609. IEEE.
  • Kate, A.V., Balakrishnan, H. and Naren, J. (2014, February) ‘Ontology mining in Molecular Biology domain (Lac Operon problem)’, Proceedings of IEEE International Conference on Computer Communication and Systems ICCCS14, pp. 001-003. IEEE.
  • Karthick, N., Venkatraman, K., Naren, J. and Amutha, B. (2009, December) ‘A resource management mechanism for downlinking in WiMax networks’, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 803-805. IEEE.
  • Venkatraman, K., Karthick, N., Naren, J. and Amutha, B. (2009) ‘Sensor-Based Dead Reckoning for land vehicle navigation system’, International Journal of Recent Trends in Engineering, 2(4), p. 240.
  • Karthick, N., Prashanth, K., Venkatraman, K., Nanmaran, A. and Naren, J. (2009, January) ‘Location estimation using RSSI and application of extended Kalman filter in wireless sensor networks’, 2009 International Conference on Advanced Computer Control, pp. 337-341. IEEE.
  • Karthick, N., Prashanth, K., Venkatraman, K., Nanmaran, A. and Naren, J. (2009, January) ‘Accurate Location Estimation for a Dynamically Moving Object Using Modified Particle Filter Algorithm’, 2009 International Conference on Advanced Computer Control, pp. 301-305. IEEE.
International Journal Papers
  • Naren, J. and Babu, A.R., 2024. EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function. Journal of King Saud University-Computer and Information Sciences, 36(4), p.102013.
  • Ganesan, V. et al. (2021) 'Quantum inspired meta-heuristic approach for optimization of genetic algorithm', Computers & Electrical Engineering, 94, p. 107356
  • Ganesan, V. et al. (2021) 'Analysis, Prediction and Maintenance of Teaching learning process based on empathize Students’ View of attending Online/Regular Class', EAI Endorsed Transactions on e-Learning, 7(20), e4-e4.
  • Ramanujam, S.S. et al. (2019) 'A study on hybrid recommender system with deep learning and deployment in big data', Test Engineering and Management, 81(11-12), pp. 1869-1875.
  • Ashokkumar, K. et al. (2020) 'Ontological Framework for analyzing Student’s Emotional behavior performance enhancement using Fuzzy Logic', International Journal of Psychosocial Rehabilitation, 24(2).
  • Si, R. and Naren, J. (2020) 'A framework on health smart home using IoT and machine learning for disabled people', International Journal of Psychosocial Rehabilitation, 24(2), pp. 1-9.
  • Naren, J. and Rakshanasri, S.I. (2020) 'Health Smart Home with IoT–A State of Art Survey', International Journal of Psychosocial Rehabilitation, 24(2), pp. 19-28.
  • Vithya, G., Naren, J. & Varun, V. (2019) 'Opinion mining with real-time ontology streaming data', International Journal of Psychosocial Rehabilitation, 23(1).
  • Naren, J., Vithya, D. G., Srivathsan, S. & Reddy, B. (2019) 'Supporting individuals with autistic spectrum disorder with various technologies: A review', International Journal of Psychosocial Rehabilitation, 23(1).
  • Adinarayanan, S., Naren, J., Shriranjan, P. & Vithya, G. (2019) 'Rule-based POS tagger for Sanskrit', International Journal of Psychosocial Rehabilitation, 23(1).
  • Prithish, K. & Naren, J. (2019) 'An investigation on machine learning approaches in supply chain forecasting: A survey', International Journal of Psychosocial Rehabilitation, 23(1).
  • Vithya, D. G., Naren, J., Reddy, K. V. & Raghunandan, V. (2019) 'A study on web intelligence for the Internet of Things', International Journal of Psychosocial Rehabilitation, 23(1).
  • Naren, J., Vithya, D. G. & Reddy, B. (2019) 'Predicting academic performance in students by an analytical study on big data machine learning techniques', International Journal of Psychosocial Rehabilitation, 23(1).
  • Kumar, B. S., Naren, J., Vithya, D. G. & Pramaths, K. (2019) 'A novel architecture based on deep learning for scene image recognition', International Journal of Psychosocial Rehabilitation, 23(1).
  • Naren, J., Rajeswari, D. R., Sannidhi, N. & Vithya, G. (2019) 'An investigation on ontology-based fuzzy semantic information retrieval', International Journal of Psychosocial Rehabilitation, 23(1).
  • Sairam, K., Naren, J., Vithya, G. & Srivathsan, S. (2019) 'Computer-aided system for autism spectrum disorder using deep learning methods', International Journal of Psychosocial Rehabilitation, 23(1).
  • Anjanadevi, V., Hemalatha, R., Venkateshwar, R., Naren, J. & Vithya, G. (2019) 'A framework for the diagnosis of diabetic retinopathy using deep learning techniques', International Journal of Psychosocial Rehabilitation, 23(1).
  • Ramanujam, S. S., Naren, J., Jayaseelan, N. & Vithya, D. G. (2019) 'Deep learning architecture based on behavioral and academic perspectives for classifying students in a university', International Journal of Psychosocial Rehabilitation, 23(1).
  • Hemalatha, R., Anjanadevi, V., Naren, J. & Vithya, G. (2019) 'A detailed study on diagnosis and prediction of diabetic retinopathy using current machine learning and deep learning techniques', International Journal of Psychosocial Rehabilitation, 23(1), pp. 412-417.
  • Kumar, B. S., Naren, J., Prahathish, K. & Vithya, G. (2019) 'Enumeration on the various tenets in scene recognition—applications and techniques', International Journal of Psychosocial Rehabilitation, 23(1).
  • Mohanraj, I., Ashokumar, K. and Naren, J. (2016) 'Field monitoring and automation using IOT in agriculture domain', Procedia Computer Science, 93, pp. 931-939.
  • Naren, J. et al. (2015) 'Deduction of orphans and suitable parent candidates using Statistical Modelling', International Journal of Applied Engineering Research, 10(22), pp. 42846-42850.
  • Kate, A.V., Nikilav, P.V., Giriesh, S., RS, H.P. and Naren, J. (2014) ‘Multimedia data mining-a survey’, International Journal of Engineering and Computer Science, 3(12).
  • Sowmya, S.K., Deepika, P. and Naren, J. (2014) ‘Layers of cloud–IaaS, PaaS and SaaS: a survey’, International Journal of Computer Science and Information Technologies, 5(3), pp. 4477-4480.
  • Keshav, R., Goutham, A.S.S.R. and Naren, J. (2014) ‘Content-based recommender system on customer reviews using sentiment classification algorithms’, International Journal of Computer Science and Information Technology, 5(3), pp. 4782-4787.
  • Mohan, A., Manisha, R., Vijayaa, B. and Naren, J. (2014) ‘An approach to perform aspect level sentiment analysis on customer reviews using sentiscore algorithm and priority-based classification’, International Journal of Computer Science and Information Technology, 5(3), pp. 4145-4148.
  • Elakia, G. and Aarthi, N.J. (2014) ‘Application of data mining in educational database for predicting behavioral patterns of the students’, International Journal of Computer Science and Information Technologies, 5(3), pp. 4649-4652.
  •  Venkatraman, K., Karthick, N., Naren, J. & Amutha, B. (2009) 'Sensor-based dead reckoning for land vehicle navigation system', International Journal of Recent Trends in Engineering, 2(4), p. 240.

  • Computer Society of India – CSI – Life Member.
  • Indian Society for Technical Education – ISTE – Life Member.
  • Institute of Engineers – IE – Life Member.
  • Institute of Electrical and Electronics Engineer – IEEE – Member.
  • Association of Computing Machinery – ACM – Member.
  • Institute of Engineering and Technology – IET – Member.
  • Indian Society of Remote Sensing – ISRS – Life Member.
  • International Association of Computer Science and Information Technology – IACSIT – Life Member.

  • Dr. Sumathi Duraisamy, Prof. Naren Jeeva, Dr. Balakrishnan Subramanian, Dr. Menaga Meenakshisundaram, Mrs. Sri Dhivya Dharmakrishnan, Dr. Balamurali Ezhilarasan, Dr. Deepa Samuel Theodore, Dr. Praveen Sen, Mr. Rajkumar Yesuraj, Ms. Jayashree Srinivasan, “AI Based Multimedia Interactive Whiteboard for online studies”, UK Design, Design number: 6359961, Grant date: 22nd April 2024.
  • Dr. D. Sumathi, Prof. Naren.J, Dr. Hardeep Singh, Dr. Kalaiarasi Arumugam, Dr. Divakara Navulkumar, Ms. Manjula Devi P, Ms. Vinutha M, Ms. Swathi Srikanth Achanur, Mr. Arvind Raja, “AI BASED GOGGLES FOR VISUALLY IMPAIRED”, Design Number: 410787-001, Publication Date: 3rd May 2024.
  • Dr. Sumathi Duraisamy, Prof. Naren Jeeva, Dr. Rajagopal, Manavi Sreedhar, Velugu Venkata Charan Reddy,” SELF-CLEANING DIET MONITORING DEVICE”, Application No.202441080042 A, Publication Date: 25th October 2024.
  • Dr. Sumathi Duraisamy, Prof. Naren Jeeva, Rakkasi Bharath Kumar Reddy, Vedant Jaysukhbhai Senjaliya, “RECOMMENDATION DEVICE FOR CROP PRODUCTION”, Application No.202441080039 A, Publication Date: 25th October 2024.

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ADDRESS

Vidya Soudha (Heritage Block)

M. S. Ramaiah University of Applied Sciences,

Gnanagangothri Campus

New BEL Road

MSR Nagar, Bangalore - 560054

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