Information
- Designation : Assistant Professor – Grade II
- Email : ramanujam@cse.nits.ac.in
- Phone : 9788153765
Key Notes
- Conference: International - 6
- Journals: 11
- Conferences: 7
- Book Chapter: 1
- Book: 1
- PhD: Guided: 7
20
PUBLICATIONS7
DOCTORAL STUDENTSIntroduction [Biosketch]
- Dr. Ramanujam E received a B.E. in Computer Science and Engineering with a Gold Medal and an M.E in Computer Science and Engineering with a University Rank from Anna University, Chennai, Tamil Nadu, India. He received a Ph.D degree in Information and Communication Engineering from Anna University, Chennai, Tamil Nadu, India, in Time series mining using the Motif discovery process. He is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam, India. He is leading a research group, 'AmbiL'- Ambient Intelligence, and their team works on activity recognition for ambient intelligence, especially fall detection and multi-resident activity recognition systems. Along with AmbiL, the research team concentrates on spam SMS detection for Multilingual Indian languages.
Areas of Interest
- Machine and Deep Learning
- Human Activity Recognition
- Spam Detection
| Institution | Year | Degree |
|---|---|---|
| Anna University Chennai | 2010 | B.E (CSE) |
| Anna University Chennai | 2012 | M.E (CSE) |
| Anna University Chennai | 2021 | ICE |
Teaching Experience
National Institute of Technology Silchar
Thiagarajar College of Engineering
Ruchi Singh, Ramanujam, E., Naresh Babu M.,, “ExamVision: A Dual-Task System for Academic Misconduct and Stress Detection in Online Exams”, IEEE Multimedia, July, 2025, Indexed in SCIE, Impact Factor: 2.3, Quartile: Q2
Ramanujam E, Abirami A M, “NCMDFE: Performance Evaluation of Non-Contextual Meta-Data Feature Extraction for Spam SMS Classification in Indian Languages”, International Journal of Information Technology, June, 2025, Indexed in Scopus, Impact Factor: 1.574, Quartile: Q2
Ramanujam E, Chandan Chakraborty, “Artificial Intelligence and IoT in Online Education Systems”, October, 2025, Wiley Scrivener
| Sl.No | Course Name | Semester | Course Code | Duration | Status |
|---|---|---|---|---|---|
| 1 | Programming and Data Structures | B.Tech | CS221 | 6 | Ongoing |
| 2 | Data Analytics and Computing | M.Tech | CS5205 | 6 | Ongoing |
EEG Signal Analysis
S Alagesan
Ongoing
Co Supervisor : Dr, Suganya Devi K
Academic Year : 2023-2024
Smartphone based HAR
Supriya Singh
Ongoing
Academic Year : 2023-2024
Foot Ulcer Detection using DL Models
Naresh Babu Merugu
Ongoing
Academic Year : 2022-2023
Pancreatic Cancer Detection
Gottala Surendra Kumar
Ongoing
Academic Year : 2022-2023
EEG Signal Analysis using XAI
Kistam Gopi
Ongoing
Academic Year : 2022-2023
Bioinformatics and Deep Learning
C Lalrinmawii
Ongoing
Co Supervisor : Dr. Aparajitta Dutta
Academic Year : 2021-2022
Student Engagement Detection
Ruchi Singh
Ongoing
Co Supervisor : Naresh Babu Muppalaneni
Academic Year : 2020-2021
Awards And Honours
- Received Best Paper Award - Intelligent Virtual Interview/Viva Systems: Integrating Emotion Recognition and Behavioural Assessment for Candidate Assessment, 6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2024), National Institute of Technology Goa, India.
| Sl.No | Course Title | Resource Person | Documents | Area | Funding Agency | Date |
|---|---|---|---|---|---|---|
| 1 | Explainable AI : Theoretical Insights and Engineering Applications | SERB under Karyashala Accelerate Vigyan (AV) Scheme | Jun 03 2023 |
