Mr. Shiplu Das

Mr. Shiplu Das

Designation : Assistant Professor

Email ID: shiplu.das1@adamasuniversity.ac.in

Qualifications:

•    PhD (Pursuing) [PhD/CSE/20007/630] in the department of Computer Science and   Engineering from IIIT (Indian Institute of Information Technology), Kalyani.

•    M.Tech in the Department of Computer Science & Engineering from Jadavpur University.

•   B.Tech in the Department of Computer Science & Engineering from West Bengal University of Technology.

Work Experience : 

•  Assistant Professor in the Department of Computer Science and Engineering at Adamas University from 3rd July,2023 to till date.

•  Assistant Professor in the Department of Computer Science and Engineering at  Brainware University from September, 2019 to 30th June,2023.

•  Senior Lecturer in the Computer Science and Technology Department at Budge Budge Institute of Technology from September 2014 to September 2019.

•  Software Developer of Patel Information Technology Services (5 months), 2014.

Research Publications:

1. Das, S., Pratihar, S., Pradhan, B., Jhaveri, R. H., & Benedetto, F. (2024). IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture. Information, 15(1), 30. (ESCI)

2. Prasad, R., Chattopadhyay, S., & Das, S. (2023). Trustworthiness of Customer Reviews of E-Commerce Portal Using Supervised and Semi-supervised Machine Learning Techniques. In Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022 (pp. 553-559). Singapore: Springer Nature Singapore.

3. Das, S., Sarkar, S., Dutta, S., Ghosh, S., Dhar, S., Pradhan, B., & Sahana, S. (2023, March). Machine Learning and Deep Learning-Based Smart City Infrastructure to Connect Intelligent Domain Using Internet of Things. In International Conference on Communication, Devices and Computing (pp. 289-301). Singapore: Springer Nature Singapore.

4. Pradhan, B., Das, S., Roy, D. S., Routray, S., Benedetto, F., & Jhaveri, R. H. (2023). An AI-Assisted Smart Healthcare System Using 5G Communication. IEEE Access. (ESCI)

5. Das, S., Pradhan, B., Sharma, S., Jana, B., Das, G., & Chakraborty, P. (2023). Intelligent Infrastructure of Route Scheduling for Smart Transportation Systems in Smart Cities. In Handbook of Research on Network-Enabled IoT Applications for Smart City Services (pp. 174-188). IGI Global.

6. Das, S., Chattopadhyay, S., Prasad, R., Kundu, J., & Pal, S. (2022, June). Text Region Identification from Natural Scene Images Using Semi-Supervised MSER Method. In Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science: ICMMCS 2021 (pp. 401-408). Singapore: Springer Nature Singapore.

7. Bhattacharjee A, Das S, Adaptation of Technology Driven Methods of Teaching-Learning Practices under the Purview of Pandemic and Assessing its Implications on the Education System as a Whole on “An International Multidisciplinary Online Journal” ISSN: 2583-1380 Vol. 2, July 2022. 

8. Bhattacharjee A, Das S, Digital Literacy: Integrating a New Pedagogical Approach with the Traditional Models of Child Education", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.c213-c216, February-2024

Specializations :

• Computer Vision

• Deep Learning

• Machine Learning