Dr. Ramanujam E


Assistant Professor
Department of Computer Science and Engineering
National Institute of Technology Silchar
Assam, India – 788010 
Phone  : +91-97881 53765
Email   : ramanujam[at]cse.nits.ac.in | ramanujamge[at]ieee.org
DOJ      : 14/07/2022
Academic/Industrial Experience: 9+ years
Google Scholar | Publons | Scopus 

Academic Qualifications

  • B.E – Computer Science and Engineering – Anna University [2006-2010] – College Topper – Gold Medalist
  • M.E – Computer Science and Engineering – Anna University [2010 – 2012] – University 4th Rank
  • Ph.D – Information and Communication Engineering – Anna University – 2021

 Area of Interest and Specialization

  • Machine and Deep Learning 
  • Time Series Mining 
  • Activity Recognition

Subjects Handled

  • Introduction to Computer Programming
  • Principles of Compiler Design
  • Data Structures
  • Introduction to Machine Learning
  • Data Mining


  1. AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons, Ramanujam, E., Thinagaran Perumal. International Journal of Ambient Computing and Intelligence, 13(1), 1-22, (2022). doi : 10.4018/IJACI.304727 [Q2 – Scopus – IF – 1.165]
  2. Xenobots : A Remarkable combination of an Artificial Intelligence-based biological living robot, Ramanujam, E., Rasikannan, L., Anandhalakshmi, P.A., Nashwa Ahmad Kamal. International Journal of Sociotechnology and Knowledge Development, 14(1), 1-11, (2022). doi : 10.4018/IJSKD.289038 [Q3 – Scopus]
  3. Perception and Importance of Urban Home Gardeners to improve sustainable food production : A Study in Madurai City, Tamil Nadu, Ramanujam, E., Mayilmurugan, A., Sundareswaran, R. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(1), 1-15, (2022). doi : 10.4018/IJSESD.290312 [Q3 – Scopus]
  4. Consumer Perception of Internet banking and Mobile banking using Twitter Analytics, Chandrakumar, T., Ramya, T., Ramanujam, E., Deepthi Bennet, T., Preethi Bennet, T., International Journal of Sociotechnology and Knowledge Development, 14(1), 1-11, (2022). doi : 10.4018/IJSKD.297978 [Q3 – Scopus]
  5. Day-Level forecasting of COVID-19 transmission in India using variants of supervised LSTM models : Modeling and Recommendations, Ramanujam, E., Santhiya, C., Padmavathi, S., Journal of Information Technology Research, 15(1), 1-14, (2022). doi : 10.4018/JITR.299376
  6. Ensemble Feature Selection for the Recognition of Human Activities and Postural Transitions on Smartphones, Ramanujam, E., Padmavathi, S., Baskar, L. A., & Niwin, P. International Journal of Service Science, Management, Engineering, and Technology, 12(5), 80–101, (2021). doi:10.4018/ijssmet.2021090106 [Q2-Scopus]
  7. Statistical Assessment of Ambient Assistive Techniques by Elders to Enhance Their Well Being From Fall Events, Ramanujam, E., & Padmavathi, S. International Journal of Service Science, Management, Engineering, and Technology, 12(4), 164-179, (2021). http://doi.org/10.4018/IJSSMET.2021070110 [Q2-Scopus]
  8. Discriminate Supervised Weighted Scheme for the Classification of Time Series Signals, Ramanujam, E., & Padmavathi, S. International Journal of Sociotechnology and Knowledge Development, 13(3), 1–16 (2021). doi:10.4018/ijskd.2021070101 [Q4 – Scopus]
  9. Real time fall detection using Infrared cameras and reflective tapes under day/night luminance, Ramanujam, E., & Padmavathi, S. Journal of Ambient Intelligence and Smart Environments, 13(4), pp. 285-300 (2021). [Q2-SCIE]
  10. Human Activity Recognition with Smartphone and Wearable Sensors using Deep Learning Techniques: A Review. Ramanujam, E., Perumal, T., & Padmavathi, S. IEEE Sensors Journal, 21(12), 13029-13040, March 2021. (link[Q1-SCIE]
  11. Recommendation of Pesticide for Roof Top Pest Image Using Convolutional Neural Network Model. Ramanujam, E., Padmavathi, S., & Kamal, N. A. International Journal of Sociotechnology and Knowledge Development (IJSKD)13(1), 38-51, March 2021. (link[Q4 – Scopus]
  12. Effect of COVID-19 Quarantine Period on a Married Woman With Special Reference to a TIER-II Selected City in India. Ramanujam, E., Sundareswaran, R., Suganya, R., & Kamal, N. A. International Journal of Sociotechnology and Knowledge Development (IJSKD)13(1), 133-148, March 2021. (link[Q4 – Scopus]
  13. Genetic time series motif discovery for time series classification. Ramanujam, E., & Padmavathi, S. International Journal of Biomedical Engineering and Technology31(1), 47-63, 2019 [Q4-ESCI]
  14. A Review on Time Series Motif Discovery Techniques an Application to ECG Signal Classification. Ramanujam, E., & Padmavathi, S. International Journal of Artificial Intelligence and Machine Learning (IJAIML)9(2), 39-56. (2019)
  15. Multi-objective genetic motif discovery technique for time series classification. Ramanujam, E., & Padmavathi, S. International Journal of Business Intelligence and Data Mining11(4), 318-337, 2016. [Q4-Scopus]

Conference Publications

  1. Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach, Ramanujam, E., Arpit Sharma, Javid Hussain, J., Thinagaran Perumal. In 2022 1st International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP 2022) Technically sponsored by IEEE Hyderabad Section, IEEE, 2022, July. 
  2. Extraction of Opinion Targets and Words from Reviews Using Collective Parallel Cluster Algorithm, Rasikannan, L., Alli, P., & Ramanujam, E. Lecture Notes on Data Engineering and Communications Technologies, 363–372 (2021). doi:10.1007/978-981-15-9647-6_28 
  3. A Multilingual Decision Support System for early detection of Diabetes using Machine Learning approach: Case study for Rural Indian people. Ramanujam, E., Chandrakumar, T., Thivyadharsine, K. T., & Varsha, D. In 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) (pp. 17-21). IEEE, 2020, November. 
  4. Evaluation of Feature Extraction and Recognition for Human Activity using Smartphone based Accelerometer data. Ramanujam, E., Padmavathi, S., Dharshani, G., & Madhumitta, M. R. R. In 2019 11th International Conference on Advanced Computing (ICoAC) (pp. 86-89). IEEE, December-2019. 
  5. Improved Feature Based Sentiment Analysis for Online Customer Reviews. Rasikannan, L., Alli, P., & Ramanujam, E, In International Conference on Innovative Data Communication Technologies and Application (pp. 148-155). Springer, Cham. October – 2019.
  6. Prediction of Fetal Distress Using Linear and Non-linear Features of CTG Signals. Ramanujam, E., Chandrakumar, T., Nandhana, K., & Laaxmi, N. T, In International Conference On Computational Vision and Bio Inspired Computing (pp. 40-47). Springer, Cham, September – 2019, September. 
  7. Crop recommendation system for precision agriculture. Pudumalar, S., Ramanujam, E., Rajashree, R. H., Kavya, C., Kiruthika, T., & Nisha, J, In 2016 Eighth International Conference on Advanced Computing (ICoAC) (pp. 32-36). IEEE, January – 2017 
  8. Double constrained genetic algorithm for ECG signal classification. Ramanujam, E., & Padmavathi, S. In 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS) (pp. 1-5). IEEE, February – February – 2016.
  9. Naïve Bayes classifier for ECG abnormalities using multivariate maximal time series motif. Padmavathi, S., & Ramanujam, E. Procedia Computer Science47, 222-228 (2015) 
  10. Constraint frequent motif detection in sequence datasets. Ramanujam, E., & Padmavathi, S. In 2012 Fourth International Conference on Advanced Computing (ICoAC) (pp. 1-5). IEEE, December-2012 

Chapters in Edited Books

  1. Predictive Strength of Ensemble Machine Learning Algorithms for the Diagnosis of Large Scale Medical Datasets, Ramanujam, E., Rasikannan, L., Viswa, S., & Prashanth, B. D. In Applications of Big Data in Large-and Small-Scale Systems (pp. 260-281). IGI Global, 2021
  2. The Dark Web: Hidden Access to Internet Today, Ramanujam, E., In Encyclopedia of Criminal Activities and the Deep Web (pp. 129-139). IGI Global, 2020
  3. A Vision-Based Posture Monitoring System for the Elderly Using Intelligent Fall Detection Technique, Ramanujam, E., & Padmavathi, S. In Guide to Ambient Intelligence in the IoT Environment (pp. 249-269). Springer, Cham, 2019.
  4. Side Channel Attacks in Cloud Computing. Ramanujam, E., & Prianga, M. In Cognitive Social Mining Applications in Data Analytics and Forensics (pp. 77-98). IGI Global, 2019. [Scopus]
  5. Security and Privacy Challenges in Big Data Environment. Manikandakumar, M., & Ramanujam, E. In Handbook of Research on Network Forensics and Analysis Techniques (pp. 315-325). IGI Global, 2018 [Scopus]

Membership in Professional Societies

  • IEEE – Senior Member’ 22
  • Indian Society for Technical Education(ISTE)  – Member(LM93654) [2012- Present]

Reviewing Services

  • IEEE Sensors Journal
  • IEEE Internet of Things Journal
  • Computers in Biology and Medicine, Elsevier
  • Journal of Ambient Intelligence and Humanized Computing, Springer
  • Image Processing, IET
  • Signal Processing, IET
  • Applied Sciences, Springer Nature
  • Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, Springer
  • International Journal of Pervasive Computing and Communications, Emerald