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Mr. Naren J

Assistant Professor

Alliance College of Engineering and Design

Prof. Naren J. is an Assistant Professor of Computer Science and Engineering in the School of Engineering and Design at Alliance University.

Some of his comprehensive track records include: Assistant Professor, JAIN (Deemed-to-Be University), Bangalore; Senior Faculty, CSE, iNurture Education Private Limited; Doctoral Researcher, Freelancer, Mentor with Great Learning; Assistant Professor at the Department of Computer Science and Engineering, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu.

He completed his MCA from Anna University and his M. Tech in Computer Science and Engineering from SRM Deemed University in 2005 and 2007, respectively. Currently, he is pursuing his Ph.D. at Hindustan Institute of Technology and Science in Computer Science and Engineering with AI as his research area. He has 16 years of experience in the field of teaching.

His research interests include Brain Computing, Cognitive Science, Machine Learning, Semantic Web, Sentiment Analysis and Opinion Mining, Ontology Modeling and Mining, Spatial Data Mining, and Web Services. He has published 67 papers in international journals and conferences, serves as an editor for 22 international journals, and is a reviewer for 19 international journals. Additionally, he is a Technical Program Committee Member and Reviewer for 47 international conferences. He is an Associate Member of IEEE and serves as the Membership Chair for ACM. He is a Life Member of CSI and ISTE and a member of many professional bodies. He currently serves as the Student Branch Coordinator (SBC) of the Student Chapter of the Computer Society of India (CSI) at SASTRA Deemed University, Thanjavur. Prof. Naren has also guided 24 projects at the postgraduate level and 16 projects at the undergraduate level. At the School of Computing, he has organized numerous workshops, faculty development programs, seminars, and two international conferences. He has also served as a Session Chair for five international conferences and is the recipient of 18 awards.

  • Mehta, S., Tiwari, S., Siarry, P., & 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., & Kumar, V. H. S. (2022, October). Job Prediction for Students and Program Approval in Universities. In 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., Sobhana, M., Anuradha, G., Yellamma, P., Devi, O. R., Prakash, K. B., & Naren, J. (2021). Quantum inspired meta-heuristic approach for optimization of genetic algorithm. Computers & Electrical Engineering, 94, 107356.
  • Ganesan, V., Naren, J., Vidyullatha, P., Ramadoss, P., & Harita, U. (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., Ramadoss, P., Rajarajeswari, P., Naren, J., & HemaSiselee, S. (2020, March). Egocentric Vision for Dog Behavioral Analysis. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy(pp. 325-336). Singapore: Springer Nature Singapore.
  • Naren, J., Ganesan, V., Gayathiri, P., Dhivyhalakshmi, K. K., & Ramalingam, P. (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., Kumar, M., Govindarajan, G., Naren, J., & Pachipala, Y. (2021, January). 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, 16-17 May 2020, Chennai, India.
  • Ganesan, V., Govindarajan, V., Naren. J, Yellamma, P. (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.gf
  • Ramanujam, S. S., Sivaneshwar, P., Naren, J., Madhumitha, S., & Vithya, G. (2019). A study on hybrid recommender system with deep learning and deployment in big data. Test Engineering and Management, 81(11-12), 1869-1875.
  • Ganesan, V., Das, S., Kundu, T., Naren, J., & Bushra, S. (2021, January). Deep learning based smart survilance robot. In Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India.
  • Naren, J., Ganesan, V., Jayaseelan, N., Ramanujam, S. S., & Vijayalakshmi, P. (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., Rajarajeswari, P., Govindaraj, V., Prakash, K. B., & Naren, J. (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., & Rajarajeswari, P. (2020, April). 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., Banu, M. B., Kavya, T., SathyaSri, R., Preetha, M., & Naren, J. (2020, April). Eccocentric Vision for Coconut Tree Analysis and Prediction. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC).
  • Ashokkumar, K., Naren, J., Rakshanasri, S. L., & Vithya, G. (2020). Ontological Framework for analyzing Student’s Emotional behavior performance enhancement using Fuzzy Logic. International Journal of Psychosocial Rehabilitation, 24(2).
  • Si, R., Naren. J (2020). A framework on health smart home using IoT and machine learning for disabled people. International Journal of Psychosocial Rehabilitation, 24(2), 1-9.
  • J, Rakshanasri, S. I. (2020). Health Smart Home with IoT–A State of Art Survey. International Journal of Psychosocial Rehabilitation, 24(2), 19-28.
  • Bhavesh Shri Kumar, N., Reddy, D. N. B. K. S., Sairam, K., & Naren, J. (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., & 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., & 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., Ramalingam, P., Raja Rajeswari, U., Vijayalakshmi, P., & Vithya, G. (2020). An intelligent system on computer-aided diagnosis for Parkinson’s Disease with MRI using machine learning. In Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)(pp. 159-165). Springer International Publishing.
  • Naren, J., Sarada Pyngas, A. B., & Subhiksha, S. (2020). Computer-aided diagnosis system for investigation and detection of epilepsy using machine learning techniques. In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2019, Volume 1(pp. 243-253). Springer Singapore.
  • Prahathish, K., Naren, J., Vithya, G., Akhil, S., Dinesh Kumar, K., & Sai Krishna Mohan Gupta, S. (2020). A systematic framework using machine learning approaches in supply chain forecasting. In Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)(pp. 152-158). Springer International Publishing.
  • Naren, J., Banu, M. Z., & Lohavani, S. (2020). Recommendation system for students’ course selection. In Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019(pp. 825-834). Springer Singapore.
  • Naren, J., Venkatesan, R., Rajendran, P., Vasudha, G. S., & Vivek. (2020). Indian sign language spelling finger recognition system. In Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019(pp. 845-855). Springer Singapore.
  • Jithendran, A., Pranav Karthik, P., Santhosh, S., & Naren, J. (2020). Emotion recognition on E-learning community to improve the learning outcomes using machine learning concepts: a pilot study. In Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019(pp. 521-530). Springer Singapore.
  • Ramanujam, S. S., Sivaneshwar, P., Naren, J., Madhumitha, S., & Vithya, G. (2019). A study on hybrid recommender system with deep learning and deployment in big data. Test Engineering and Management, 81(11-12), 1869-1875.
  • Vithya, G., Naren, J., & Varun, V. (2019). Opinion Mining with Real Time Ontology Streaming Data. International Journal of Psychosocial Rehabilitation, 23(01).
  • 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., Sriranjanie, P., & Vithya, G. (2019). Rule based POS Tagger for Sanskrit. International Journal of Psychosocial Rehabilitation, 23(01).
  • Prahathish, K., Naren. J, “An Investigation on Machine Learning Approaches in Supply Chain Forecasting: A Survey." International Journal of Psychosocial Rehabilitation01 (2019).
  • 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., & Prahathish, 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(01).
  • Sairam, K., Naren, J., Vithya, G., & Srivathsan, S. (2019). Computer aided system for autism spectrum disorder using deep learning methods.  J. Psychosoc. Rehabil, 23(01).
  • 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(01).
  • 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(01).
  • 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), 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(01).
  • Vishal, R., Naren. J., Analysis of Data Mining, Big Data and Machine Learning Techniques to Predict Academic Performance.
  • Vishal, R. Naren. J, An Architecture for Student Classification based on Behavioral and Academic Perspectives using Deep Learning in a Big Data Environment.
  • Kavitha, R., & Naren, J. QGIS based Spatial analysis of recently collapsed buildings in India.
  • Naren, J., Revathy, S., Sangavi, R., & Srimathi, V. (2017). News analytics and dual sentiment analysis for stock market prediction. In International Conference on Inventive Computation Technologies(pp. 1-2).
  • Mohanraj, I., Ashokumar, K., & Naren, J. (2016). Field monitoring and automation using IOT in agriculture domain. Procedia Computer Science, 93, 931-939.
  • Mohanraj, I., & Naren, J. (2016, March). The application of semantic web on agricultural domain—A state of art survey. In 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. In 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 student's performance with data mining techniques: State-of-the-art survey. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)(pp. 1605-1609). IEEE.
  • Naren, J., Nikilav, P. V., Kate, A. V., & Mohan, A. (2015). Deduction of orphans and suitable parent candidates using Statistical Modelling. International Journal of Applied Engineering Research, 10(22), 42846-42850.
  • Adinarayanan, S., & Ranjaniee, N. S. (2015). Part-of speech tagger for Sanskrit. A state of art survey.  J. Appl. Eng. Res, 10, 24173-24178.
  • Kate, A. V., Nikilav, P. V., Giriesh, S., RS, H. P., & Naren, J. (2014). Multimedia data mining-a survey. International Journal Of Engineering And Computer Science, 3(12).
  • Sowmya, S. K., Deepika, P., & Naren, J. (2014). Layers of cloud–IaaS, PaaS and SaaS: a survey. International Journal of Computer Science and Information Technologies, 5(3), 4477-4480.
  • Keshav, R., Goutham, A. S. S. R., & Naren, J. (2014). Content based recommender system on customer reviews using sentiment classification algorithms.  J. Comput. Sci. Inf. Technol, 5(3), 4782-4787.
  • Mohan, A., Manisha, R., Vijayaa, B., & Naren, J. (2014). An approach to perform aspect level sentiment analysis on customer reviews using sentiscore algorithm and priority-based classification.  J. Comput. Sci. Inf. Technol, 5(3), 4145-4148.
  • Elakia, G., & Aarthi, N. J. (2014). Application of data mining in educational database for predicting behavioral patterns of the students. Elakia et al, /(IJCSIT) International Journal of Computer Science and Information Technologies, 5(3), 4649-4652.
  • Kate, A. V., Balakrishnan, H., & Naren, J. (2014, February). Ontology mining in Molecular Biology domain (Lac Operon problem). In Proceedings of IEEE International Conference on Computer Communication and Systems ICCCS14(pp. 001-003). IEEE.
  • Karthick, N., Venkatraman, K., Naren, J., & Amutha, B. (2009, December). A resource management mechanism for down linking in WiMax networks. In 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies(pp. 803-805). IEEE.
  • Venkatraman, K., Karthick, N., Naren, J., & Amutha, B. (2009). Sensor-Based Dead Rockening for land vehicle navigation system. International Journal of Recent Trends in Engineering, 2(4), 240.
  • Karthick, N., Prashanth, K., Venkatraman, K., Nanmaran, A., & Naren, J. (2009, January). Location estimation using RSSI and application of extended Kalman filter in wireless sensor networks. In 2009 International Conference on Advanced Computer Control(pp. 337-341). IEEE.
  • Karthick, N., Prashanth, K., Venkatraman, K., Nanmaran, A., & Naren, J. (2009, January). Accurate Location Estimation for a Dynamically Moving Object Using Modified Particle Filter Algorithm. In 2009 International Conference on Advanced Computer Control(pp. 301-305). IEEE.

Awards Won:

  • 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
  • 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,
  • 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
  • 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
  • Young Scientist Award – VDGOOD, Chennai, Tamil Nadu, India, 14th September
  • Excellence in Teaching for Higher Education Award – DK Research Foundation, Tamil Nadu, 30th Jun 2019.

Other Achievements:

  • Currently Session Chairperson for ICDMAI 2024.
  • IEEE Associate Member.
  • ACM Membership Chair – ACM Student Chapter at JAIN (Deemed-to-be University) for 7 Months and conducted 10 Activities.
  • BoS Internal Member – UG and PG Programs JAIN (Deemed-to-be University).
  • Program Head and Co-ordinator – BCA and MCA Miles Programme.
  • Student Mentor – Great Learning.
  • CSI Student Branch Co-ordinator – SASTRA (Deemed-to-be University) for 6 Years and conducted 60 Activities.
  • Covenenor of around 5 Conferences Internationally.
  • Conducted Two International Conferences as a Chairperson.
  • Served as a Technical and Program Committee in 71 International Conferences.
  • Editorial Board Member in 22 International Journals.
  • Review Board Member in 19 International Journals.
  • Organized 6 National Level Workshops as a Convener.
  • NAAC and IQAC Co-ordinator at JAIN University.

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