Anupam Singha

Employee ID:

10161

Office:

N/A

School:

School of Engineering

Department:

Computer Science & Engineering

Profile Links:

Anupam Singha approach computer science with the creativity and discipline He has cultivated as a musician, blending artistry with technical expertise. His research focuses on cutting-edge topics such as pattern recognition, image classification, and natural language processing (NLP). With a strong academic background in Big Data Analytics and Artificial Intelligence, I have contributed to projects in medical image analysis, text summarization, and music classification. Passionate about teaching and research, I bring a unique interdisciplinary perspective to his work, striving to be a dedicated and innovative academician. His achievements include publications in international conferences and recognition through scholarships and awards.

Deep Learning and Machine Learning
Natural Language Processing (NLP)
Image Processing and Computer Vision
Blockchain Technology
Computational Music

No workshops listed.

No trainings listed.

Research Articles

Sengupta, A., & Singha, A. (2024). Visualizing Requirements: Data-Driven Dashboards for Stakeholder Alignment in Requirements Gathering. In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) (pp. 1125–1131). IEEE. https://doi.org/10.1109/ICICNIS64247.2024.10823217
Rajalakshmi, N. R., Saravanan, S., & Singha, A. (2023). Surplus Data Prediction and Classification of Textual-Data Using Machine and Deep Learning Comparative Analysis. In 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI) (pp. 329–334). IEEE. https://doi.org/10.1109/ICCSAI59793.2023.10421287
Singha, A., & Rajalakshmi, N. R. (2023). Bengali Text Summarization with Attention-Based Deep Learning. In 2023 3rd Asian Conference on Innovation in Technology (ASIANCON) (pp. 1–5). IEEE. https://doi.org/10.1109/ASIANCON58793.2023.10270772
Singha, A., Rajalakshmi, N. R., Pandian, J. A., & Saravanan, S. (2023). Deep Learning-Based Classification of Indian Classical Music Based on Raga. In 2023 6th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1–7). IEEE. https://doi.org/10.1109/ISCON57294.2023.10111985
Singha, A., Sarkar, S. J., Nayak, S., & Patgiri, R. (2022). Green Cloud Computing-To Build A Sustainable Tomorrow. In 2022 International Conference for Advancement in Technology (ICONAT) (pp. 1–6). IEEE. https://doi.org/10.1109/ICONAT53423.2022.9726052

Conferences

No conferences listed.

Codingal

Remote (Dover, United States)

Senior Coding Instructor
Aug 2022 – Jun 2023

Study In India (SII) Scholarship

Organization:

Ministry of Education, Government of India

Location:

India

ICCR Scholarship

Organization:

Indian Council for Cultural Relations (ICCR)