Mr R. Nareshkumar

Assistant Professor

Computer Science and Engineering

0431-2258444

nareshkr@srmist@edu.in nareshkumar.r@ist.srmtrichy.edu.in

Total Experience 

Area of intErest

Text Analytics, Machine Learning, Deep Learning and Data Science

17 Years

course handled

Artificial Intelligence, Machine Learning, Data Analytics, Data Visualization Computer Networks, Data Science, Programming for Problem Solving 


Education Details

  • Publication details

    1. Nareshkumar R and N. Krishnan, “An Efficient Deep Learning-Based Hybrid Framework for Personality Trait Prediction through Behavioral Analysis,” Computers, Materials & Continua, vol. 85, no. 2, pp. 3253–3265, 2025, doi: 10.32604/cmc.2025.067490.


    2. K. Nimala, C.-S. Shieh, R. Nareshkumar, and V. S. Murugan, “Scalable and transparent mental health support via XAI-LLM,” International Journal of Information Technology, Jun. 2025, doi: 10.1007/s41870-025-02590-1. 


    3. SHOBANA J†, VENKATA SUBRAMANIAN A‡, BALAMURUGAN P §, SIVAKUMAR PERUMAL ¶, SANKARI V∥, ELDHO K J, AND NARESHKUMAR R., “Smart Agriculture: Integrating Air Quality Monitoring with Deep Learning for Process Optimization,” Scalable Computing: Practice and Experience, vol. 26, no. 3, pp. 1005–1016, Apr. 2025, doi: 10.12694/scpe.v26i3.4190. 


    4. Nareshkumar. R, Nimala, “Depression Classification using Bert Embedding Model on Social Media Posts,” Journal of Machine and Computing, pp. 474–482, Jan. 2025, doi: 10.53759/7669/jmc202505037. 


    5. Nareshkumar. R, Nimala. K, A Noval Hybrid SMOTE OverSampling Approach for Balancing Class Distribution on social media Text,” Bulletin of Electrical Engineering and Informatics, Vol. 14, No. 1, February2025, pp. 638~646ISSN: 2302-9285, DOI: 10.11591/eei.v14i1.8380. 


    6. Nareshkumar. R, Nimala. K, S. R, S. Banu S, S. P, and B. P, “Graph-Based Rumor Detection on Social Media Using Posts and Reactions,” International Journal of Computing and Digital Systems, vol. 15, no. 1, pp. 173–182, Jul. 2024, doi: 10.12785/ijcds/160114. 


    International and National Conferences


    1. C. V. Subramanian, R. Shalinikumari, M. M. Hussain, P. S. A. Mary, K. Deiwakumari, and R. Nareshkumar, “Cocoa Pod disease detection based on convolutional neural network for healthy landscape,” INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN ENGINEERING AND SCIENCE: ICETES2023, vol. 3162, p. 020080, 2025, doi: 10.1063/5.0242381. (Scopus Indexed)


    2. J. T. Abraham, M. M. Hussain, R. Srividhya, P. E. Linda, S. Karthik, and Nareshkumar. R, “Classifying Grape Leaf Disease using an Optimized YOLOv7 Deep Learning Model,” 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA), pp. 127–132, Sep. 2024, doi: 10.1109/icscsa64454.2024.00027. 


    3. Nareshkumar. R, R. Shalinikumari, S. S. N. Kowsalya, V. Anand P, A. Mohamed, and S. Gayathri, “Impurity explicit optimal Machine learning and statistical perfect construction for air quality prediction,” 2024 2nd International Conference on Networking and Communications (ICNWC), Apr. 2024, doi: 10.1109/icnwc60771.2024.10537343. (Scopus Indexed)


    4. R. Nareshkumar, K. Nimala, M. K. M. Faizal, P. Sasikumar, S. Karthigeyan, and S. Cherukuvada, “Deep Learning for Emoji Generation: From Faces and Gestures to Digital Emotion,” 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW), pp. 1–6, Sep. 2024, doi: 10.1109/icietdw61607.2024.10939614.


    5. P. Sasikumar, S. Cherukuvada, P. Balmurugan, P. Vijay Anand, S. Brindasri, and R. Nareshkumar, “An Efficient Brain tumor classification using CNN and transfer learning,” 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), pp. 1–5, May 2024, doi: 10.1109/accai61061.2024.10602391. (Scopus Indexed)


    6. R. Sasikala, P. Sakthi, K. Agalya, U. Vidhya, M. Karthik, and R. Nareshkumar, “An Efficient Dimensionality Reduction Techniques to Data Data Visualization,” 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), pp. 1–6, May 2024, doi: 10.1109/accai61061.2024.10601723.


    7. S. S. Samal, K. Pathak, K. Nimala, and R. Nareshkumar, “Sentiment Analysis for Depression using Human Expression,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Dec. 2023, doi: 10.1109/icses60034.2023.10465560. (Scopus Indexed)


    8. M. M. Hussain, P. Shanmugam, K. Moorthi, U. Sakthivelu, A. Rajasekar, and R. Naresh Kumar, “An Ensemble Deep Learning Model for Diabetic Retinopathy Identification,” 2023 9th International Conference on Smart Structures and Systems (ICSSS), Nov. 2023, doi: 10.1109/icsss58085.2023.10407073. (Scopus Indexed)


    9. M. Jananee, K. Nimala, and R. Nareshkumar, “Enhancing Cloud Computing Resource Allocation with LSTM-Based Predictive Modeling,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Dec. 2023, doi: 10.1109/icses60034.2023.10465563 (Scopus Indexed)


    10. M. Vijayalakshmi, S. Cherukuvada, A. Chinnappa, G. Kavitha, A. Soujanya, and R. Nareshkumar, “Predictive Modeling of Cardiovascular Disease Using ML Algorithms,” 2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Dec. 2023, doi: 10.1109/icdsaai59313.2023.10452498. (Scopus Indexed)


    11. R. Nareshkumar and K. Nimala, “An Enhanced BERT Model for Depression Detection on Social Media Posts,” Lecture Notes in Networks and Systems, pp. 53–64, 2024, doi: 10.1007/978-981-99-8479-4_5. (Scopus Indexed)


    12. P. Sirenjeevi, J. M. Karthick, K. Agalya, R. Srikanth, T. Elangovan, and R. Nareshkumar, “Leaf Disease Identification using ResNet,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Jan. 2023, doi: 10.1109/iceconf57129.2023.10083963.


    13. L. J. Sailesh, V. K. Kumar, K. Nimala, and R. Nareshkumar, “Emotion Detection in Instagram Social Media Platform,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Jan. 2023, doi: 10.1109/iceconf57129.2023.10083724. (Scopus Indexed)



    14. R. Nareshkumar, K. Agalya, A. Arunpandiyan, M. Vijayalakshmi, V. Ranjani, and A. Ramya, “An Effective Deep Learning based Recommender System with user and item embedding,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Jan. 2023, doi: 10.1109/iceconf57129.2023.10083578. (Scopus Indexed)


    15. R. Nareshkumar and K. Nimala, “Interactive Deep Neural Network for Aspect-Level Sentiment Analysis,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Jan. 2023, doi: 10.1109/iceconf57129.2023.10083812. (Scopus Indexed)


    16. R. Nareshkumar and K. Nimala, “An Exploration of Intelligent Deep Learning Models for Fine Grained Aspect-Based Opinion Mining,” 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Jul. 2022, doi: 10.1109/icses55317.2022.9914094. (Scopus Indexed)


    Books/Book Chapters Published


    1. R. Nareshkumar, G. Suseela, K. Nimala, and G. Niranjana, “Feasibility and Necessity of Affective Computing in Emotion Sensing of Drivers for Improved Road Safety,” Advances in Computational Intelligence and Robotics, pp. 94–115, Sep. 2022, doi: 10.4018/978-1-6684-3843-5.ch007. (Scopus Indexed) 

    2. Book chapter entitled R. Nareshkumar and K. Nimala, “Pattern Analysis of Personality Dimensions Using Artificial Intelligence” was published in the Cambridge Scholars Publishing, 2023 (ISBN-13: 978-1527553811)." Amazon Link – “https://www.amazon.com/Analysis-Personality-Dimensions-Artificial-Intelligence/dp/1527553817”


    3. Book chapter entitled., “Social Determinants Trends in Cognitive Analysis of Healthcare Analytics” and Chapter 12. R. Nareshkumar and K. Nimala ” Analysis of Mental Stress and Health Behaviors,” 2024, was published in th Novapublishers doi: 10.52305/ozsa0684. (Scopus Indexed)


    4. Book chapter entitled., “Social Determinants Trends in Cognitive Analysis of Healthcare Analytics” and Chapter 24. G. Yogapriya¹, R. Nareshkumar², K. Srikanth Cherukuvada², K. Nivedha Raghu³, M. Narayanan³, and A. Ramya⁴  ” Behavior Analysis of Old Age People Underlying Chronic Kidney Diseases,” 2024, was published in  Nova publishers doi: 10.52305/ozsa0684. (Scopus Indexed)


    5. R. Nareshkumar, S. Umarani, V. Bharathi, P. Sasikumar, and P. U. Maheswari, “A lightweight Enhanced KP-ABE system cyber-physical security and privacy advancement in healthcare networks,” Big Data and Blockchain Technology for Secure IoT Applications, pp. 72–91, Oct. 2024, doi: 10.1201/9781032663005-5. (Scopus Indexed)


    Patents


    Patent Application No. 202441056939 A, “APPLICATIONS OF GRAPH THEORY IN A CRYPTOGRAPHIC KEY EXCHANGE PROTOCOL ” published on 26/07/2024












  • Awards and Achievements

    • Best Paper award for the paper titled “Multi Sentimental Analysis for Depression Detection using Deep Learning” at 4th International Conference on
           Artificial Intelligence, 5G Communications and Network Technologies (ICA5NT 2024), Velammal Institute of Technology, 2024


    • Top Performing mentor in 12 weeks online NPTEL course on “The Joy Computing using Python”, 2023


    • Active Member Award in SKI NSLV9 MANIAMMAIYAR SAT and “All Women Team to Launch a Balloon Satellite, recorded in Asia Book of Records, Periyar
          Maniammai Institute of Science and Technology, Thanjavur, 2019


    • Best User award in Library at Periyar Maniammai Institute of Science and Technology, Thanjavur, 2018


    • Best Teacher Award, Periyar Maniammai Institute of Science and Technology, Thanjavur, 2013


  • Workshops / Seminars

    Participated 


    1. Completed UGC-approved Short-Term Course on NEP Orientation & Sensitization under the Malaviya Mission Teacher Training Programme (MM-TTP), organized by MMTTC, Tezpur University (April 2025). 


    2. Completed AICTE/UGC-endorsed Faculty Development Program on Salesforce Platform Developer 1 (40 hours), organized by ICT Academy, Feb 2025.


    3. Participated in IP Awareness Training Program under National Intellectual Awareness Mission on August 18, 2022 by Intellectual Property Office, India.


    4. Attended the workshop titled Developing Applications Using NLP organized by the Department of Computing Technologies, SRMIST from 20th July 2022 to 22nd July 2022


    5. Participated in the Faculty Development Program on “Deep Learning and its Applications” in associated with Indian Society for Technical Education (ISTE) from 11th to 15 July, 2022.


    6. Participated in the six days Faculty Development program on MACHINE LEARNING FOR ALL Organized by the Department of Data Science and Business system is associated with great learning held from 16th May 2022 to 21st May 2022.


    7. Participation in One Day Seminar on "Awareness of Cyber Attacks and Cyber Security" Organized by the Department of CSE in association with CSI, K. Ramakrishnan College of Engineering, Trichy on 28.3.2022


    8. Participation in One Day Seminar on "Awareness of Cyber Attacks and Cyber Security" Organized by the Department of CSE in association with CSI, K. Ramakrishnan College of Engineering, Trichy on 28.3.2022


    9. Participated in the National Faculty Development Programme on “Recent Advances in Quantum Machine Learning for Defence and Security Applications”organised from 07-03-2022 to 11-03-2022.


    10. “Three Days Online Workshop on Practical Foundation on Artificial Intelligence and Deep Learning” from 6th to 8th September 2021. Organized by The Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur - 603 203.


    11. “Two Days Online Workshop on Machine Learning” Jan 2020. Organized by The Department of Computer science and Engineering, Jayram college of Engineering and Technology, Thuraiyur.


    12. “An Intelligent Health Observation System Using Smart Phone and Wearable Sensor “, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 4, April 2016


    13. Undergone two days National Level seminar on “DATA STRUTURES” Conducted by The Anna university, Trichy


    14. Presented a paper on “Improving Aodv routing protocol in MANET” at K. Ramakrishna College of Technology. Trichy District.


    15. Undergone AICTE Sponsored Faculty Development Programme on “Network and Management” at The National Engineering College, Kovilpetti


    16. Presented a paper titled “Balancing the energy consumption and Data integrity in MANET” in the national Conference conducted by SNS college of Engineering, Coimbatore Held on 1st and 2nd March 2013.


    17. Undergone Faculty Training Programme at The Gnanamani college of Technology, Namakkal held from 26th to 28th May 2012.


    18. Presented a paper titled “Performance increasing AODV protocol in MANET” in the national Conference conducted by Kurinji college of Engineering and Technology, Manapparai.



  • Work Experience

    Assistant Professor at SRM Institute of Science & Technology, Tiruchirapalli from 2025 to still


    Assistant Professor at Mahalakshmi Engineering College, Trichy, Tamilnadu from 2013 to 2022


    Senior Lecturer at Gnanamani College of Engineering, Namakkal, Tamilnadu from 2012 to 2013


    Lecturer at Kurinji College of Engineering and Technology, Manapparai, Tamilnadu from 2008 to 2012

  • Memberships

    NIL

  • Funded Projects

    NIL