Mr. Shiplu Das

Mr. Shiplu Das

Designation : Associate  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:

• Das, S., Chattopadhyay, S., Prasad, R., Kundu, J., Pal, S. (2022). Text Region Identification from Natural Scene Images Using Semi-Supervised MSER Method on 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_40 

• Prasad, R., Chattopadhyay, S., Das, S. (2023). Trustworthiness of Customer Reviews of ECommerce Portal Using Supervised and Semi-supervised Machine Learning Techniques. In: Kumar Singh, K., Bajpai, M.K., Sheikh Akbari, A. (eds) Machine Vision and Augmented Intelligence. Lecture Notes in Electrical Engineering, vol 1007. Springer, Singapore. https://doi.org/10.1007/978-981-99-0189-0_43 

• Das S, Pradhan B,Sharma S, Jana B, Das G, Chakroborty P, Intelligent Infrastructure of Route Scheduling for Smart Transportation System in Smart City at IGI Global on “Network-Enabled IoT Applications for Smart City Services” Scopus Indexed. ISBN13: 9798369307441 DOI: 10.4018/979-8-3693-0744-1 

• Das, S. et al. (2023). Machine Learning and Deep Learning-Based Smart City Infrastructure to Connect Intelligent Domain Using Internet of Things. In: Sarkar, D.K., Sadhu, P.K., Bhunia, S., Samanta, J., Paul, S. (eds) Proceedings of the 4th International Conference on Communication, Devices and Computing. ICCDC 2023. Lecture Notes in Electrical Engineering, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-99-2710-4_23 

• An AI-based Integrated Framework for Motion-Activated Facial Recognition at 2nd International Conference on Innovation Data Analytics (ICIDA 2023) Springer, Scopus Index 

• Das, S., Chakraborty, G., Joardar, D., Paul, S., & Pradhan, B. (2025). IoT‐Based Health Monitoring Using a Hybrid Machine Learning Model. Smart Sensors for Industry 4.0: Fundamentals, Fabrication and IIoT Applications, 1-13. 

• Das, S., Bhattacharjee, A., Chakraborty, G., & Joardar, D. (2024). Evaluating the Readability of English Language Using Machine Learning Models. How Machine Learning is Innovating Today's World: A Concise Technical Guide, 69-88. 

• Das, S., Sen, S., Joardar, D., & Chakraborty, G. (2024). Image Enhancement Techniques to Modify an Image with Machine Learning Application. How Machine Learning is Innovating Today's World: A Concise Technical Guide, 139-158. 

• Das, S., Chakraborty, G., Pal, R. K., Banik, A., & Joarda, D. (2023, November). An AI-Based Integrated Framework for Motion-Activated Facial Recognition. In International Conference on Innovations in Data Analytics (pp. 381-393). Singapore: Springer Nature Singapore. 

• 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. 

• Das, S., Pratihar, S., & Pradhan, B. Multisensor-Based Multitasking Goggles to Reduce Road Accidents. Recent Advances in Artificial Intelligence and Smart Applications, 1. 

• Das,S., Bhattacharjee, A., Ghosh A., Automated Detection of Child Emotion and Analysis of Child Psychology through Deep Learning Models. International Conference on Artificial Intelligence and Sustainable Computing 2024. Springer Nature (In-Press) 

• Das, S., Chowdhury R., Biswas S., ML based Smart Farm Management System for Agricultural Revolution. International Conference on Artificial Intelligence and Sustainable Computing 2024. Springer Nature (In-Press) 

• Das,S., Bhattacharjee, A., Das P., Chatterjee A., Enabling Independence: Machine LearningDriven Obstacle Detection for the Visually Impaired. International Conference on Smart Systems and Wireless Communication. 2024. Springer Nature (In-Press) 

• Das,S ., Pradhan B., Mondal S., Halder S., Gupta S., Enhancing Object Identification Using Deep Learning Algorithms for Assisting Disabled Individuals. International Conference on Recent Curriculum Vitae - SHIPLU DAS Advances in Artificial Intelligence & Smart Applications (RAAISA) 2024. Springer (Communicated+Accepted+14-15 December, 2024). 

• Das, S Empowering Edge-Enabled resource-efficient collaborative deep learning over B5G/6G networks, CRC PRESS, Taylor and Francis group Book Title “ The Intersection of 6G, Machine Learning, and Embedded systems : Pioneering Intelligent Wireless Technologies (Inpress). 

• Das,S, Predictive Analytics and Performance Optimization in Mobile Networks using Machine Learning, IEEE Conference (Accepted+12-14th December, 2024) 

• Shiplu Das, Debdutta Pal, Debojyoti Bhuinya, Gargi Chakraborty, Panchami Das, Ayan Chatterjee, Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems.Springer (Accepted) 

  Journal: 

• Das S, Sarkar B, Das A, “Efficient Masked and Unmasked face detection technique using Deep Learning” in International Conference on Current Research in Engineering and Technology (ICCRET21) ISSN: 2582-659X pp. 43-47, Vol. 3, 

• Das S, Pal P, Saha J,” Challenges and Application of Masked and Unmasked face recognition using FaceNet” in International Conference on Current Research in Engineering and Technology (ICCRET21) ISSN: 2582-659X pp. 25-30, Vol. 3, 

• 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. 

• Digital Literacy: Integrating a New Pedagogical Approach with the Traditional Models of Child Education", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.c213-c216, February-2024, Available: https://ijnrd.org/papers/IJNRD2402225.pdf 

• 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) 

• 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) 

• Das, S., Pratihar, S., & Pradhan, B. (2024). Advanced deep learning models for automatic detection of driver’s facial expressions, movements, and alertness in varied lighting conditions: a comparative analysis. Multimedia Tools and Applications, 1-37. 

Patent: 

• “AN AI BASED METHOD TO DETECT DIFFERENT SKIN PHENOTYPES AND MOISTURE LEVELS” at Intellectual Property of India, Govt. of India, November,2022, (Application No: 202331022410A) 

• “A SELF-CONTROLLED UAV BASED FOREST FIRE DETECTION SYSTEM” at Intellectual Property of India, Govt. November,2023 (Application No:202231068125A)  

• A LEGAL CHATBOT USING NATURAL LANGUAGE PROCESSING AND METHOD THEREOF at Intellectual Property of India, Govt. of India, July ,2023, (Application No: No.202331049760 A) Curriculum Vitae - SHIPLU DAS 

• A SMART SOIL MOISTURE SENSOR AND WATERING SYSTEM FOR SMART AGRICULTURE AND METHOD THEREOF Intellectual Property of India, Govt. of India, July,2023, (Application No: No.202331049755 A) Departmental Project: Developed and published Painmate App (2022) (Published in Play store) at Brainware University Conferences & Seminar Attended.