Dr. N. Bharathi Gopalsamy

• High Performance Computing
• Artificial Intelligence
• Security in IoT
• Cloud Computing
• Machine Learning
• Deep Learning
• Big Data
• Blockchain

• Computer Vision
• Artificial Neural networks
• Programming in Java
• Data Structures
• Compiler design
• Internet of Things
• Artificial Intelligence
• Computer Networks

• I worked as an associate professor in the CSE Department of the SRM Institute of Science and Technology, Vadapalani, Chennai, from July 2019 to date
• I worked as an associate professor in the CSE Department of Saveetha School of Engineering, SIMATS, Chennai, from January 2017 to June 2019
• Research and Development Head, Yalamanchili Manufacturing Private limited, IITM Research Park, Chennai, from July 2015 to December 2016
• I worked as an assistant professor in the School of Computing, SASTRA Deemed University, Thanjavur (613401), from August 2002 to April 2015

• Served as expert member for the preparation of Question Bank for Student Learning Assessment (SLA) Project initiated by AICTE in 2021
• Served as Content Reviewer – academic review committee for the Teaching Learning Material, Anna university distance education in June 2022
• Senior member of IEEE from August 2023.
• Served as Evaluator for Smart India Hackathon 2023 organized by Ministry of Education & AICTE, Government of India
• Received AICTE certified High performance computing master trainer certificate by successfully completing HPC master trainer program conducted in physical mode at CDAC, Pune.
• Received funds and successfully conducted ATAL FDP on introduction to High performance computing in August 2024.
• Has served as an academic mentor in the student mentorship program (SMP) 2024 organized by IEEE India council Industry Academia young professionals committee (IAYPC) held from 20th August 2024 to 20th December 2024.
• Supervised and graduated 2 Ph.D. Candidates.
• AICTE SANKALP – High performance computing awareness sessions (count 3) are conducted to train the faculties and students in High performance computing using super computers in Department of CINTEL, SRM Institute of Science and Technology, Kattankulathur on 25/09/2024, in Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College on 11/09/2024, in Karpagam College of Engineering, Coimbatore on 15/07/2024.
• Supervised and graduated 2 Ph.D. Candidates.
• Authored two books titled “Sensors and Protocols for Industry 4.0” and “Learning Algorithms for Internet of Things”, published by Apress – A springer nature publisher.
• Served as organizing secretary for the International Conference on Computing and Emerging Technologies for Sustainable Planet at SRM Institute of Science and Technology Vadapalani Campus, April 2025.

• Exploring Speaker Diarization with Embedding Pipelines, published in June 2026.
• Design patent on Smart Irrigation System, granted in Feb 2026.
• AI-Powered Intelligent Stem System for Real-Time Experimental Guidance, Published in Feb 2026.
• Multi Scale Residual Learning Architecture for Fast and Coherent Image Inpainting, Published in July 2025.
• AI Powered Healthcare: A Hybrid classification model for improved disease prediction, Published in March 2025.
• YouTube Channel Revenue decision making system using BigData Analysis, Published in February 2023.
• Emotion Recognition using combination of deep learning and machine learning approach based on ECG and EEG signals from visual emotion Bigdata, Published in February 2023.
• An Internet of Things Based Smart Vision Device for Visually Impaired Persons, published in October 2021.
• Air Pollution Monitoring System Using IOT and Machine Learning, published in September 2020.

• Govindarajan, M.P., Bharathi Gopalsamy, N., Balasubramanian, K. (2026). Swin-UNetR for Clinical Environment Automated Measurement of Fetal Head Circumference and Gestational Age Prediction. In: Kumar, S., Shorif Uddin, M., Rawat, T.K. (eds) Sixth Congress on Intelligent Systems. CIS 2025. Lecture Notes in Networks and Systems, vol 1825. Springer, Cham. https://doi.org/10.1007/978-3-032-18132-9_13.
• Indumathy Mayuranathan and Bharathi Navaneethakrishnan (2026), "Supplier Selection under Epistemic Uncertainty Using a Bayesian BWM-Credal Ranking Integrated Fuzzy VIKOR Framework," Journal of Advances in Information Technology, Vol. 17, No. 3, pp. 415-428, doi: 10.12720/jait.17.3.415-428
• Indumathy M., Bharathi N., (2025), “An Efficient Reinforcement Learning-Based Supplier Selection Framework Through Risk Prediction Procedures”, Journal of Theoretical and Applied Information Technology, Vol. 103. No. 23.
• R, Deepa., & N, Bharathi. (2025). A novel chaotic-based advanced encryption standard algorithm with blockchain technology for secured IoMT data transfer and disease diagnosis. Automatika, 66(4), 883–903.
  https://doi.org/10.1080/00051144.2025.2570956
• Deepa Ravichandran and Bharathi Navaneethakrishnan, (2025) "Blockchain-Based Cryptographic Cross-Chain Protocol for Secured Health Information Systems," Journal of Advances in Information Technology, Vol. 16, No. 9, pp. 1246-1263, doi: 10.12720/jait.16.9.1246-1263
• Subha, K., & Bharathi, N. (2025). Adaptive algorithms for YouTube channel analysis and revenue enhancement. Evolving Systems, 16, 85.
  https://doi.org/10.1007/s12530-025-09709-6
• Santhanam, P., Aashvi, G. S., & Gopalsamy, B. N. (2025). Indian Sign Language Gesture Recognition Using Bi-Directional LSTM and GRU with Text to Speech Conversion. In P. D. Sivakumar, R. Ramachandran, C. Pasupathi, & P. Balakrishnan (Eds.), Computing Technologies for Sustainable Development. IRCCTSD 2024. Communications in Computer and Information Science, 2362. Springer, Cham.
  https://doi.org/10.1007/978-3-031-82386-2_11
• Mohammed Zayaan, N., Varun, R., Nashith Arham, C. M., & Bharathi, N. (2025). Feathered Diagnose: Smart Disease Classification in Chickens Using Deep Learning and MLOps. In Communications in Computer and Information Science, 2362. Springer, Cham.
  https://doi.org/10.1007/978-3-031-82389-3_27
• Subha, K., & Bharathi, N. (2024). Leveraging spark-based machine learning algorithm for audience sentiment analysis in youtube content. Intelligent Data Analysis, 28(5), 1395-1405.
  https://doi.org/10.3233/IDA-240198
• Abisha, A., & Bharathi, N. (2024). Modified Xception-RF: A biotic stress prediction model in plant leaves using feature extraction and classification. Multimedia Tools and Applications, 83, 34199–34218.
  https://doi.org/10.1007/s11042-024-18534-z
• Nishok, V. G., & Bharathi, N. (2024). Sentimental Analysis for Trump Tweets Using R. In Lecture Notes in Networks and Systems, 1106. Springer, Singapore.
  https://doi.org/10.1007/978-981-97-8666-4_30
• Abisha, A., & Bharathi, N. (2024). A Hybrid Feature Extraction and Feature Selection Mechanism to Predict Disease in Plant Leaves. Journal of Advances in Information Technology, 15, 480-491.
  https://doi.org/10.12720/jait.15.4.480-491
• Subha, K., & Bharathi, N. (2023). Big Data-Driven Support System for YouTube Channel Improvement. Journal of Theoretical and Applied Information Technology, 101(18), 7308-7316.
• Abisha, A., & Bharathi, N. (2023, December). Impact of Image Pre-Processing in Image Quality and Segmentation for Banana Leaf Disease Prediction. In International Conference on Sustainable Communication Networks and Application (ICSCNA) (pp. 1302-1307). Theni, India.
  https://doi.org/10.1109/ICSCNA58489.2023.10370581
• Subha, K., & Bharathi, N. (2023, December). Spark-based Big Data Sentiment Analysis of Social Media Comments. In International Conference on Sustainable Communication Networks and Application (ICSCNA) (pp. 164-169). Theni, India.
  https://doi.org/10.1109/ICSCNA58489.2023.10370518
• Abisha, A., & Bharathi, N. (2023). A Hybrid Feature Extraction and Classification using Xception-RF for Multiclass Disease Classification in Plant Leaves. Applied Artificial Intelligence, 37(1).
  https://doi.org/10.1080/08839514.2023.2176614
• Satya, M. S. R., & Bharathi, G. N. (2023). Human Lives Matter: Intelligent Transport System for Protecting Human Lives. In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd.
  https://doi.org/10.4028/p-xkzw14
• Shantoash, C., Vishal, M., Shruthi, S., & Bharathi, G. N. (2023). Speech Accent Recognition. In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd. https://doi.org/10.4028/p-irai1l
• Raju, S., Rishiikeshwer, B. S., Shriram, A. T., Brindha, G. R., Santhi, B., & Bharathi, N. (2023). COVID-19 - Novel Short Term Prediction Methods. In Mobile Computing Solutions for Healthcare Systems (pp. 16-35). Bentham Science Publications.
• Bharathi, N., Rishiikeshwer, B. S., Shriram, A. T., Santhi, B., & Brindha, G. R. (2022). The Significance of Feature Selection Techniques in Machine Learning. In Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications (pp. 121-134). Wiley.
  https://doi.org/10.1002/9781119821908.ch5
• Krishna, B. S. V., Rishiikeshwer, B. S., Raju, J. S., Bharathi, N., Venkatasubramanian, C., & Brindha, G. R. (2022). Crack Detection in Civil Structures Using Deep Learning. In Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications (pp. 311-325). Wiley.
  https://doi.org/10.1002/9781119821908.ch13
• Aarthi, S., & Bharathi, N. (2022, March). Analysis of security and privacy issues over vehicular communication in Internet Of Vehicles. In MECON2022 (pp. 500-505).
  https://doi.org/10.1109/MECON53876.2022.9751907
• Subha, K., & Bharathi, N. (2022, March). Apache Spark based analysis on word count application in Big Data. In 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 491-495). Gautam Buddha Nagar, India.
  https://doi.org/10.1109/ICIPTM54933.2022.9753879
• Abisha, A., & Bharathi, N. (2022). Feature Extraction from Plant Leaves and Classification of Plant Health Using Machine Learning. In Lecture Notes in Electrical Engineering, 858. Springer, Singapore.
  https://doi.org/10.1007/978-981-19-0840-8_67
• Abisha, A., & Bharathi, N. (2021, August). Review on Plant health and Stress with various AI techniques and Big data. In International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-6). Puducherry, India.
  https://doi.org/10.1109/ICSCAN53069.2021.9526370
• Bharathi, N., & Jayavel, K. (2021, November). Role of VLSI Design to Build Trusted and Secured IOT Devices- A Methodological Approach. In 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 473-479). Coimbatore, India.
  https://doi.org/10.1109/ICECA52323.2021.9675878
• Sriramya, P., Kalaiarasi, S., & Bharathi, N. (2021). Anomaly Based Detection of Cross Site Scripting Attack in Web Applications Using Gradient Boosting Classifier. In Communications in Computer and Information Science, 1394 (pp. 243-252). Springer, Singapore.
• Rajendran, S., Jayavel, K., & Bharathi, N. (2021). Data collection and deep learning for traffic and road infrastructure management. In Lecture Notes in Networks and Systems, 130 (pp. 403–414). Springer.
• Bharathi, N., & Sriramya, P. (2020). Smart healthcare system for COVID-19 using internet of things. Journal of Critical Reviews, 7(8), 1697–1702.
• Aswath Shakthi, K. P., Brindha, G. R., & Bharathi, N. (2018). Enhanced Classification Through Improved Feature Selection Technique. International Journal of Mechanical Engineering & Technology, 8(10), 342–351.
• Bharathi, N. (2018). FPGA Accelerated Cloud Service. Journal of Advanced Research in Dynamical and Control Systems, Special issue 17, 392-400.
• Dhanalakshmi, T. G., & Bharathi, N. (2015). Secure M-Health Patient Monitoring and Emergency Alert System Framework. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 6(3), 476-484.
• Monisha, M., & Bharathi, N. (2015). System Framework for Efficient Resource Utilization by Using Smart Task Scheduling. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 6(3), 740–749.
• Dhanalakshmi, T. G., Bharathi, N., & Monisha, M. (2014, October). Safety concerns of Sybil attack in WSN. In IEEE International Conference on Science Engineering and Management Research (ICSEMR).
  https://doi.org/10.1109/ICSEMR.2014.7043659
• Maheswari, A., Bharathi, N., Neelamegam, P., & Gayathridevi, T. (2014). Classification and recognition of herbal leaf using SVM algorithm. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 5(5), 415-423.
• Rajalakshmi, M., Neelamegam, P., Bharathi, N., & Kumaravel, S. (2014). Effective diagnosis of heart disease using multilayer feed forward neural network using back propagation algorithm and associative neural network. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 5(2), 1019-1034.
• Bharathi, N., Brindha, G. R., Santhi, B., & Neelamegam, P. (2014). FPGA based OM Analysis of User Authentication. Information Technology Journal, 13, 2057-2060.
  https://doi.org/10.3923/itj.2014.2057.2060
• Bharathi, N., Brindha, G. R., Santhi, B., & Neelamegam, P. (2014). Integration of FPGA, Cloud and Opinion Mining. Journal of Applied Sciences, 14, 1653-1657. https://doi.org/10.3923/jas.2014.1653.1657
• Rajalakshmi, M., Neelamegam, P., & Bharathi, N. (2013). Diagnosis and classification of level of kidney function using associative neural network and polynomial neural network. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 4(4), 724-738.
• Iswarya, R. J., & Bharathi, N. (2013). Information extraction using metadata and solving polysemy problems. International Journal of Engineering and Technology, 5(2), 782-786.
• Bharathi, N., & Neelamegam, P. (2013). FPGA Based Software Testing Prioritization Using Rnk-Means Clustering. ICTACT Journal on Soft Computing, 4(1).
• Poornima, R., & Bharathi, N. (2013). Time-based CSMA protocol for alleviating collision problem in RFID system. International Journal of Engineering and Technology, 5(2), 776-781.
• Bharathi, N., & Neelamegam, P. (2013). Analysis of scheduling the independent CCHBs for partially reconfigurable FPGA. Indian Journal of Science and Technology, 6(4), 4317-4323.
• Bharathi, N., & Neelamegam, P. (2013). A Reconfigurable Framework for Cloud Computing Architecture. Journal of Artificial Intelligence, 6(1), 117-120.
• Bharathi, N., & Neelamegam, P. (2012). FPGA-Based Temperature Monitoring and Control System for Infant Incubator. Sensors and Transducers, 143(8), 88-97.
• Bharathi, N., & Neelamegam, P. (2012). A Decade of Productive FPGA Utilization With Genetic Algorithms. Journal of Theoretical and Applied Information Technology, 35(2), 242–249.
• Bharathi, N., & Neelamegam, P. (2011). FPGA Based Linear Heating System for Measurement of Thermoluminescence. Measurement Science Review, 11(6), 207-209.
• Bharathi, N., & Neelamegam, P. (2010, February). Implementation of Floating-point Arithmetic for Embedded systems in FPGAs. In National Conference on Latest techniques in electronics for use in scientific research. University of Madras.
• Siew-Kei, L., Bharathi, N., & Srikanthan, T. (2006, December). Efficient Management of Custom Instructions for Run-Time Reconfigurable Instruction Set Processors. In IEEE conference on Field Programmable Technology (pp. 261-264).

Book Chapter/Book Published

• Kanagachidambaresan G., Bharathi N., (2024). Learning Algorithms for Internet of Things. Berkeley, CA: Apress, Springer.
• Kanagachidambaresan G., Bharathi N., (2024). Sensors and Protocols for Industry 4.0., Berkeley, CA: Apress, Springer.
• Bharathi N Gopalsamy and Brindha, GR and Santhi, B, “Implementation of Machine Learning in Network Security” in the book titled Handbook of Research on Emerging Trends and Applications of Machine Learning, published by IGI Global, 2020, 276-299.
• Bharathi.N. Gopalsamy, Chapter 14 “Communication Trends in Internet of Things” in the book titled Development and Trends in Intelligent Technologies and Smart Systems, Published by IGI Global copyright in 2018.