Email : moumitachatterjee@aliah.ac.in

Address : Department of Computer Science & Engineering, 7th Floor, Right Block Room No: Faculty Room, Department of Computer Science and Engineering.

Joined : 17.09.2019

Dr. Moumita Chatterjee is an Assistant Professor in the Department of Computer Science & Engineering. Dr.Chatterjee has completed her Ph.D. from the University of Calcutta in the area of Distributed and High Performance Computing. She specializes in the fields of Distributed Computing, Natural Language Processing, Machine Learning, and Social Media Mining. She has published several papers at international conferences and in reputed journals.  

Any student interested in working with me may send their latest C.V. to moumitachatterjee@aliah.ac.in. I am looking for motivated Ph.D. scholars who are interested in working in the fields of Social Media Mining, NLP, Machine Learning, and Distributed Computing.

Education

1. B.Sc Computer Science, University of Calcutta
2. M.Sc Computer and Information Science, University of Calcutta
3. M.Tech Computer Science and Engineering, University of Calcutta 
4. Ph.D (Tech) Computer Science and Engineering, University of Calcutta

Teaching Experience

1. Assistant Professor, Department of Computer Science and Engineering, Aliah University, Kolkata, India, since September 2019 and continuing.
2. Lecturer in Computer Science, Bidhan Chandra College, Rishra Hooghly.

Industrial Experience

1. Assistant Manager (Systems), State Bank of Hyderbad, Head Office, Gunfoundry, Hyderabad, Telengana.

Field of Specialization

1. Theoretical Computer Science
2. Algorithms
3. Big Data and Machine Learning
4. Distributed OS
5. Data Mining

Courses Taught/Teaching

1. Data Mining and Data Warehousing
2. Numerical Methods
3. Data Structures and Algorithms
4. Computer Organization and Architecture
5. Mobile Computing
6. Embedded Systems
7. Discrete Mathematics and Graph Theory

Research Area

1. Distributed Computing
2. Big Data
3. Machine Learning
4. Social Media Mining
5. Natural Language Processing

Experience

1. NET JRF Research Scholar, Department of Computer Science and Engineering, University of Calcutta, Kolkata.

Conference Papers Published

1. M. Chatterjee and S. K. Setua, "A new clustered load balancing approach for distributed systems," Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), Hooghly, India, 2015, pp. 1-7, doi: 10.1109/C3IT.2015.7060188.
2. Chatterjee, M., Setua, S.K. (2017). A Distributed Transactional Memory Protocol for Dynamic Networks. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_22
3. Bhattacharya, S., Mitra, A., Chatterjee, M., Roy, S., Adhikari, S., Sen, S. (2022). Restoring of Fundus Retinal Image for Detection of Diabetic Retinopathy in Presence of Blurriness of Cataract. In: Peng, SL., Lin, CK., Pal, S. (eds) Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0182-9_24
4. M. Chatterjee and S. K. Setua, "A semi-centralized algorithm using adaptive gossip to detect and resolve distributed deadlocks," 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Spring), Dehradun, India, 2016, pp. 1-8, doi: 10.1109/ICACCA.2016.7578858.
5. Samanta, P., Kumar, P., Dutta, S., Chatterjee, M., Sarkar, D. (2023). Depression Detection from Twitter Data Using Two Level Multi-modal Feature Extraction. In: Goswami, S., Barara, I.S., Goje, A., Mohan, C., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-19-2600-6_32
6. Kumar, P., Samanta, P., Dutta, S., Chatterjee, M., & Sarkar, D. (2022). Feature-based depression detection from Twitter data using machine learning techniques. Journal of Scientific Research, 66(2), 220–228.
7. M. Chatterjee, P. Samanta, P. Kumar and D. Sarkar, "Suicide Ideation Detection using Multiple Feature Analysis from Twitter Data," 2022 IEEE Delhi Section Conference (DELCON), New Delhi, India, 2022, pp. 1-6, doi: 10.1109/DELCON54057.2022.9753295.

Journal Papers Published

1. “Gossip-based Fault Tolerant Protocol in Distributed Transactional Memory using Quorum Based Replication System” ”-Moumita Chatterjee Anirban Mitra, Sudipto Roy, S.K.Setua., Cluster Computing Springer(SCI-E) 
2. “Gossip Based Fault Tolerant Load Balancing Algorithm with low communication overhead”-Moumita Chatterjee Anirban Mitra, Sudipto Roy, S.K.Setua. Computers and Electrical Engineering Elsevier (SCI) 
3. Chatterjee, M., Kumar, P., & Sarkar, D. (2023). Generating a Mental Health Curve for Monitoring Depression in Real Time by Incorporating Multimodal Feature Analysis Through Social Media Interactions. International Journal of Intelligent Information Technologies (IJIIT), 19(1), 1-25. http://doi.org/10.4018/IJIIT.324600
4. Chatterjee, M., Setua, S.K. A Multi-Objective Deadline-Constrained Task Scheduling Algorithm with Guaranteed Performance in Load Balancing on Heterogeneous Networks. SN COMPUT. SCI. 2, 361 (2021). https://doi.org/10.1007/s42979-021-00609-5
5. Sarkar, D., Kumar, P., Samanta, P., Dutta, S., & Chatterjee, M. (2022). A Two-Level Multi-Modal Analysis for Depression Detection From Online Social Media. International Journal of Software Innovation (IJSI), 10(1), 1-22. http://doi.org/10.4018/IJSI.309114
6. Chatterjee, M., Kumar, P., Samanta, P., & Sarkar, D. (2022). Suicide ideation detection from online social media: A multi-modal feature based technique. International Journal of Information Management Data Insights, 2(2). 10.1016/j.jjimei.2022.100103

Books Published

1. Chatterjee, M., Modak, S., & Sarkar, D. (2023). Mental Health Predictions Through Online Social Media Analytics. In P. Bhowmick, S. Das, & K. Mazumdar (Eds.), Cognitive Cardiac Rehabilitation Using IoT and AI Tools (pp. 44-66). IGI Global. https://doi.org/10.4018/978-1-6684-7561-4.ch004
2. Chatterjee, M., Mitra, A., Roy, S., Roy, S., Shah, H., Setua, S.K. (2019). Gossip-Based Distributed Real-time Task Scheduling with Guaranteed Performance on Heterogeneous Networks. In: Madria, S., Fournier-Viger, P., Chaudhary, S., Reddy, P. (eds) Big Data Analytics. BDA 2019. Lecture Notes in Computer Science(), vol 11932. Springer, Cham. https://doi.org/10.1007/978-3-030-37188-3_15.
3. Mitra, A. et al. (2020). Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis. In: Verma, O., Roy, S., Pandey, S., Mittal, M. (eds) Advancement of Machine Intelligence in Interactive Medical Image Analysis. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-1100-4_1
4. Chatterjee, M., Setua, S.K. (2019). Gossip-Based Real-Time Task Scheduling Using Expander Graph. In: Chaki,     R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 897. Springer, Singapore. https://doi.org/10.1007/978-981-13-3250-0_1 

5. Sarkar, D., Samanta, P., Kumar, P., & Chatterjee, M. (2023). Feature-based suicide-ideation detection from Twitter data using machine learning techniques. In Hybrid Computational Intelligent Systems (pp. 237-249). CRC Press.