Education:

1. Bachelor’s Degree: B.E. in CSE from Jorhat Engineering College (2009), Jorhat
2. Master’s Degree: M.Tech in Information Technology from Tezpur University (2011)
3. Ph.D. from Dibrugarh University (2023)

Professional Experience:

1. Assistant Professor in Computer Science and Engineering Department of DUIET (Since 2011 till present)

Areas of Interest/ Specialization:

• Data Science, Spatial Data, Mining Techniques in Network Field.

Orientation/ Refresher/ Workshop/short term:

• Refresher Course on Research Methodology in Technical Education at DUIET, Dibrugarh University, 2015 by NITTR, Kolkata.
• Short term course on E-governance, Eco-preneurship and green IT in Technical Institutes through ICT at Dibrugarh University, 2015 by NITTR Chandigarh.
• A workshop on “Data Mining” at Dibrugarh University, 2014 by ISI, Kolkata.
• A workshop on “Introduction to Robotics” at Tezpur University.
• Refresher Course on Teaching and Learning Pedagogy, (Under NEQIP) by NITTR, Kolkata.
• A workshop on Design and Development of self-learning materials (SLMs) at Dibrugarh University.

Administrative Assignments:

1. Member in various Committees of the DUIET, D.U.
2. Assistant officer B.Tech Examination 2012 i/c at DUIET
3. Development of application software for B.Tech Admission

Research Publications:

National/International Journals:

1. Prasad, R. K., Sarmah, R., Chakraborty, S., & Sarmah, S. (2023). NNVDC: A new versatile density-based clustering method using k-Nearest Neighbors. Expert Systems with Applications, 120250.
2. Prasad, R. K., Chakraborty, S., & Sarmah, R. (2022). Impact of distance measures on partition-based clustering method—an empirical investigation. International Journal of Information Technology, 1-16.
3. Bhattacharyya, S., Das, R., Sonowal, N., Bezbaruah, A., & Prasad, R. (2018). "Partition Based with Outlier Detection". International Journal of Computer Trends and Technology, 59, 63-67.
4. Mridumurchana Kashyap,Surakhita Gogoi,Rabinder Kumar Prasad,   "A COMPARATIVE STUDY ON PARTITION-BASED CLUSTERING METHODS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.1457-1463, April 2018.

National/International Conferences:

1. Rabinder Kumar Prasad, Kaushik Das, Rosy Sarmah, "A Variable Density Clustering on Spatial Data: A Review". In National Conference on Trends in Machine Intelligence, 2011.
2. Rabinder Kumar Prasad, Rosy Sarmah, "VDSC: A Variable Density Spatial Data Clustering". In Proceeding of 2nd International Conference on Computer & Communication Technology (ICCCT)-2011, pp. 53–58.
3. R. K. Prasad, R. Sarmah and S. Chakraborty, "Enhanced Partition-Based Method using Correlation Coefficient", 2019 International Conference on Computing, Power and Communication Technologies (GUCON), New Delhi, India, 2019, pp. 307-311.
4. Prasad R.K., Sarmah R., Chakraborty S. (2019) "Incremental k-Means Method". In: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science, vol 11941. Springer, Cham. https://doi.org/10.1007/978-3-030-34869-4_5.
5. Alom, R., Mazumdar, A., Prasad, R. K., Basumatary, G., & Baruah, B. (2022, September). Analysis of Seismic Data Using Partition-Based Clustering Techniques. In 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) (pp. 1-6). IEEE.
6. Prasad, R. K., Boruah, A., & Majumdar, S. (2023, February). Real-Time Hand Gesture Recognition Using Indian Sign Language. In Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 1 (pp. 927-937). Singapore: Springer Nature Singapore.
7. Prasad, R. K., Chakraborty, S., & Sarmah, R. (2022, May). Lockdown Phases and Changing Clusters of Indian States with Respect to Number of Cases of COVID-19. In Smart Intelligent Computing and Applications, Volume 2: Proceedings of Fifth International Conference on Smart Computing and Informatics (SCI 2021) (pp. 71-84). Singapore: Springer Nature Singapore.

Book Chapter:

1. Prasad R.K., Sarmah R., Chakraborty S. (2019) "Incremental k-Means Method". In: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science, vol 11941. Springer, Cham. https://doi.org/10.1007/978-3-030-34869-4_5.

1. Database Mangement System
2. Formal Language and Automata
3. Computer Graphics
4. System Software
5. Computer Networks
6. Object Oriented Programming Language
7. Data Mining and Warehousing
8. Introduction to Computing
9. Machine Learning
10. Programming for Problem solving