Dr. Ramanujam E


Assistant Professor – Grade II
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: 10+ years
Google Scholar | Publons | Scopus  | DBLP | Vidwan

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

S.No Course Semester Academic Year
1 CS486- Introduction to Neural Networks and Deep Learning B. Tech – 7 Semester Odd Semester (2022-2023) (2023-2024)
2 CS221 – Programming and Data Structures  B. Tech (EE) – 3 Semester Even Semester (2022-2023)
3 CS5205 – Big Data Analytics and Computing  M.Tech (AI) – 2 Semester Even Semester (2022-2023)
4 CS5302 & CS5243 – Data Science M.Tech (AI & DSE) – 1 Semester Odd Semester (2023-2024)

Journal Publications

  1. Perumal, T., Ramanujam, E., Suman, S., Sharma, A., & Singhal, H. (2023). Internet of Things Centric-Based Multiactivity Recognition in Smart Home Environment. IEEE Internet of Things Journal, 10(2), 1724–1732. https://doi.org/10.1109/jiot.2022.3209970 [SCIE]
  2. Ramanujam, E., & Padmavathi, S. (2021). Real time fall detection using infrared cameras and reflective tapes under day/night luminance. Journal of Ambient Intelligence and Smart Environments, 13(4), 285–300. https://doi.org/10.3233/ais-210605 [SCIE]
  3. Ramanujam, E., Perumal, T., & Padmavathi, S. (2021). Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review. IEEE Sensors Journal, 21(12), 13029–13040. https://doi.org/10.1109/jsen.2021.3069927 [SCIE]
  4. Ramanujam. E, Perumal. T & Shankar. K. (2023) Fall Detection Systems at Night, IEEE Computer, vol. 56, no. 06, pp. 44-51, 2023. doi: https://doi.org.10.1109/MC.2022.3200404 [SCIE]
  5. Ramanujam, E., Santhiya, C., & Padmavathi, S. (2022). Day-Level Forecasting of COVID-19 Transmission in India Using Variants of Supervised LSTM Models. Journal of Information Technology Research, 15(1), 1–14. https://doi.org/10.4018/jitr.299376 [ESCI]

  1. Ramanujam, E., & Perumal, T. (2022). MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition. Journal of Ambient Intelligence and Humanized Computing, 14(3), 2313–2325. https://doi.org/10.1007/s12652-022-04487-4 
  2. Ramanujam, E., & Padmavathi, S. (2022). Comprehensive review on time series motif discovery using evolutionary techniques. International Journal of Advanced Intelligence Paradigms, 23(1/2), 155. https://doi.org/10.1504/ijaip.2022.125239
  3. Ramanujam, E., Rasikannan, L., & Balasubramanian A. (2022). Coupling of Dimensionality Reduction and Stacking Ensemble Learning for Smartphone-Based Human Activity Recognition. International Journal of E-Services and Mobile Applications, 14(1), 1–15. https://doi.org/10.4018/ijesma.300267
  4. Ramanujam, E., & Perumal, T. (2022). AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons. International Journal of Ambient Computing and Intelligence, 13(1), 1–22. https://doi.org/10.4018/ijaci.304727
  5. Thangavel, C., Thangavel, R., Ramanujam, E., Bennet, D. T., & Bennet, P. S. (2022). Consumer Perception of Internet Banking and Mobile Banking Using Twitter Analytics. International Journal of Sociotechnology and Knowledge Development, 14(1), 1–14. https://doi.org/10.4018/ijskd.297978
  6. Ramanujam, E., Rasikannan L., Anandhalakshmi P. A., & Kamal, N. A. (2021). Xenobots. International Journal of Sociotechnology and Knowledge Development, 14(1), 1–11. https://doi.org/10.4018/ijskd.289038
  7. Ramanujam, E., & Padmavathi, S. (2021). Discriminate Supervised Weighted Scheme for the Classification of Time Series Signals. International Journal of Sociotechnology and Knowledge Development, 13(3), 1–16. https://doi.org/10.4018/ijskd.2021070101
  8. Ramanujam, E., & Padmavathi, S. (2021). Statistical Assessment of Ambient Assistive Techniques by Elders to Enhance Their Well Being From Fall Events. International Journal of Service Science, Management, Engineering, and Technology, 12(4), 164–179. https://doi.org/10.4018/ijssmet.2021070110
  9. Ramanujam, E., Padmavathi, S., & Kamal, N. A. (2021). Recommendation of Pesticide for Roof Top Pest Image Using Convolutional Neural Network Model. International Journal of Sociotechnology and Knowledge Development, 13(1), 38–51. https://doi.org/10.4018/ijskd.2021010104
  10. Ramanujam, E., Sundareswaran, R., Suganya, R., & Kamal, N. A. (2021). Effect of COVID-19 Quarantine Period on a Married Woman With Special Reference to a TIER-II Selected City in India. International Journal of Sociotechnology and Knowledge Development, 13(1), 133–148. https://doi.org/10.4018/ijskd.2021010110
  11. Ramanujam, E., Mayilmurugan, A., & Sundareswaran, R. (2021). Perception and Importance of Urban Home Gardeners to Improve Sustainable Food Production. International Journal of Social Ecology and Sustainable Development, 13(1), 1–15. https://doi.org/10.4018/ijsesd.290312
  12. Ramanujam, E., Padmavathi, S., Baskar, L. A., & Niwin, P. (2021). Ensemble Feature Selection for the Recognition of Human Activities and Postural Transitions on Smartphones. International Journal of Service Science, Management, Engineering, and Technology, 12(5), 80–101. https://doi.org/10.4018/ijssmet.2021090106
  13. Ramanujam, E., & Padmavathi, S. (2019). Genetic time series motif discovery for time series classification. International Journal of Biomedical Engineering and Technology, 31(1), 47. https://doi.org/10.1504/ijbet.2019.101051
  14. Ramanujam, E., & Padmavathi, S. (2016). Multi-objective genetic motif discovery technique for time series classification. International Journal of Business Intelligence and Data Mining, 11(4), 318. https://doi.org/10.1504/ijbidm.2016.082214

Conference Publications

  1. Ramanujam, E., Kalimuthu, S., Harshavardhan, B. V., & Perumal, T. (2023, October). Improvement in Multi-resident Activity Recognition System in a Smart Home Using Activity Clustering. In IFIP International Internet of Things Conference (pp. 316-334). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45878-1_22
  2. Ramanujam, E., Sakthi Prakash K., Abirami, A.M., (2023). Evaluation of Hand-crafted Features for the Classification of Spam SMS in Dravidian Languages, Data Science and Network Engineering: Proceedings of ICDSNE 2023791, 3. https://doi.org/10.1007/978-981-99-6755-1_1. 
  3. Ramanujam, E., Shankar, K., Arpit Sharma. (2023). A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection,  In 3rd International conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN2022), 523-536. https://doi.org/10.1007/978-981-99-6690-5_40 
  4. Ramanujam, E., Chakkaravarthy, G. V., & Lavanya, R. (2022). Hybrid Algorithm for Resource Aware Predictive Scheduling: A case-study to Human Activity Recognition. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES). https://doi.org/10.1109/ickecs56523.2022.10059785
  5. Ramanujam, E., Shankar, K., & Arpit, S. (2022). Multi-lingual Spam SMS detection using a hybrid deep learning technique. 2022 IEEE Silchar Subsection Conference (SILCON). https://doi.org/10.1109/silcon55242.2022.10028936
  6. Ramanujam, E., Sharma, A., Hussian, J. J., & Perumal, T. (2022). Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach. 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP). https://doi.org/10.1109/iciccsp53532.2022.9862328
  7. Rasikannan, L., Alli, P., & Ramanujam, E. (2021). Extraction of Opinion Targets and Words from Reviews Using Collective Parallel Cluster Algorithm. Lecture Notes on Data Engineering and Communications Technologies, 363–372. https://doi.org/10.1007/978-981-15-9647-6_28
  8. Ramanujam, E., Chandrakumar, T., Thivyadharsine, K. T., & Varsha, D. (2020). A Multilingual Decision Support System for early detection of Diabetes using Machine Learning approach: Case study for Rural Indian people. 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). https://doi.org/10.1109/icrcicn50933.2020.9296187
  9. Ramanujam, E., Padmavathi, S., Dharshani, G., & Madhumitta, M. R. R. (2019). Evaluation of Feature Extraction and Recognition for Human Activity using Smartphone based Accelerometer data. 2019 11th International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac48765.2019.247124
  10. Rasikannan, L., Alli, P., & Ramanujam, E. (2020). Improved Feature Based Sentiment Analysis for Online Customer Reviews. Lecture Notes on Data Engineering and Communications Technologies, 148–155. https://doi.org/10.1007/978-3-030-38040-3_17
  11. Ramanujam, E., Chandrakumar, T., Nandhana, K., & Laaxmi, N. T. (2020). Prediction of Fetal Distress Using Linear and Non-linear Features of CTG Signals. Advances in Intelligent Systems and Computing, 40–47. https://doi.org/10.1007/978-3-030-37218-7_5
  12. Pudumalar, S., Ramanujam, E., Rajashree, R. H., Kavya, C., Kiruthika, T., & Nisha, J. (2017). Crop recommendation system for precision agriculture. 2016 Eighth International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac.2017.7951740
  13. Ramanujam, E., & Padmavathi, S. (2016). Double constrained genetic algorithm for ECG signal classification. 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS). https://doi.org/10.1109/icetets.2016.7603010
  14. Padmavathi, S., & Ramanujam, E. (2015). Naïve Bayes Classifier for ECG Abnormalities Using Multivariate Maximal Time Series Motif. Procedia Computer Science, 47, 222–228. https://doi.org/10.1016/j.procs.2015.03.201
  15. Ramanujam, E., & Padmavathi, S. (2012). Constraint Frequent Motif Detection in sequence datasets. 2012 Fourth International Conference on Advanced Computing (ICoAC). https://doi.org/10.1109/icoac.2012.6416844

Chapters in Edited Books

  1. Ramanujam, E., Chandrakumar, T., & Sakthipriya, D. (2023). Investigation on Improving the Performance of Class-imbalanced Medical Health Datasets. In Machine Learning for Healthcare Systems (pp. 1-18). River Publishers. https://doi.org/10.1201/9781003438816-1.
  2. Katiyar, S., Kumar, K., Ramanujam, E., Suganya Devi, K., & Naidu, V. N. (2023). Comparative analysis of lumpy skin disease detection using deep learning models. Deep Learning in Medical Image Processing and Analysis, 79–96. https://doi.org/10.1049/pbhe059e_ch5
  3. Ramanujam, E., & Manikandakumar, M. (2022). Mobile Application-based Assistive System for Visually Impaired People: A Hassle-Free Shopping Support SystemObject Detection with Deep Learning Models: Principles and Applications. https://doi.org/10.1201/9781003206736-4
  4. Ramanujam, E., Rasikannan, L., Viswa, S., & Prashanth, B. D. (2021). Predictive Strength of Ensemble Machine Learning Algorithms for the Diagnosis of Large Scale Medical Datasets. In Applications of Big Data in Large-and Small-Scale Systems (pp. 260-281). IGI Global.
  5. Ramanujam, E. (2020). The Dark Web: Hidden Access to Internet Today. In Encyclopedia of Criminal Activities and the Deep Web (pp. 129-139). IGI Global.
  6. Ramanujam, E., & Padmavathi, S. (2019). A vision-based posture monitoring system for the elderly using intelligent fall detection technique. Guide to Ambient Intelligence in the IoT Environment: Principles, Technologies and Applications, 249-269.
  7. Ramanujam, E., & Prianga, M. (2019) Side Channel Attacks in Cloud Computing.  In Cognitive Social Mining Applications in Data Analytics and Forensics (pp. 77-98). IGI Global, 2019.
  8. Manikandakumar, M., & Ramanujam, E. (2018). Security and Privacy Challenges in Big Data Environment. In Handbook of Research on Network Forensics and Analysis Techniques (pp. 315-325). IGI Global.


  1. Spam SMS in Dravidian Languages – IEEE Dataport –  https://dx.doi.org/10.21227/dcym-pd69   

Membership in Professional Societies

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

List of Administrative Responsibilities

S.No Responsibility Date From Date To
1 M.Tech Coordinator May 2023 Till Date
2 Departmental ERP Coordinator November 2022 Till Date
3 Departmental Exam Coordinator  October 2023 Till Date

Session Chair

S.No Conference Organized by Date
3 2022 IEEE Silchar Subsection Conference (SILCON 2022) Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Assam 06-November 2022
2 International Conference on Intelligent Computing Systems and Applications (2022) Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam 23 – September 2022
1 3rd Congress on Intelligent Systems Soft Computing Research Society & Christ University – Bangalore 06-September 2022

Details of PhD Guidance

S.No Name of the Student Status Topic
1 Supriya Singh [Group B – Self Supported] July 2023

Workshop Organized

  • Title: Explainable AI : Theoretical Insights and Engineering Applications; Funding Agency: SERB under Karyashala Accelerate Vigyan (AV) Scheme; Duration: 03th-09st July 2023; Cost: Rs. 05 Lakh, Role: Coordinator; Status: Completed

Details of B.Tech Projects

  • Automated Proctoring System using Deep Learning Techniques” – Keerthi Satya Sai Sundar, Addanki Vamsi Krishna, Kadimi Varun Chandra Sai – July 2023
  • Deep Learning Technique for Cattle Disease Detection” – Shikhar Katiyar, Krishna Kumar, Vadagana Nagendra Naidu – July 2023 [Published a Book chapter B7]

Details of M.Tech Scholar Guided/ Guiding

  • Maximal Feature Subset Selection for Smartphone based Human Activity Recognition” – S Reshmi [Currently working in Philips, Bengaluru] – July 2023

Reviewing Services

  • IEEE Sensors Journal
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • 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
  • Disability and Rehabilitation: Assistive Technology, Taylor and Francis
  • 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