Faculty Directory
Dr. Moumita Chakraborty
Academic Information
Ph.D, IIT(ISM) Dhanbad
Research Areas
Research Interests
My research interests lie in the interdisciplinary areas of Internet of Things (IoT), data science, and machine learning, with a focus on developing intelligent and secure sensing systems. I am particularly interested in modified sensor design and smart sensors for efficient data acquisition, monitoring, and control in real-time applications. I explore the use of machine learning techniques to improve sensor performance, accuracy, and predictive capabilities. Additionally, my work includes cryptography-based security solutions to ensure data integrity, privacy, and secure communication in IoT-enabled systems, aiming to build reliable, scalable, and robust smart technologies.
Courses Taught
C,PYTHON, MATLAB, SOFTWARE ENGINEERING, COMPUTER NETWORK, COMPUTER ORGANIZATION & ARCHITECTURE, DESIGN & ANALYSIS OF ALGORITHM
Positions Held
Associate Professor
Publications
[1] Mahapatra, R. D., Chakraborty, M., Bhattacharya, S., Kundu, A., & Mukherjee, M. (2026). Design and Analysis of the Electro-optical Characteristics of Super-lattice Structure based ZnO/MGRL PIN photodetector using Random-Forest-Regression model for Detection of Photon in UV wavelength. Engineering Research Express. https://doi.org/10.1088/2631-8695/ae3a42
[2] Chakraborty, M., Sadhu, P. K., &Bera, S. K. (2024). Further study on linearization of echo intensity sensing type ultrasonic liquid level transducer. Microsystem Technologies, 31(7), 1725–1736. https://doi.org/10.1007/s00542-024-05771-3
[3] Chakraborty, M., Sadhu, P. K., Kundu, A., & Mukherjee, M. (2024). Strain engineered < Si/Si0.97C0.03 > superlattice photodetector for optoelectronic applications: a comprehensive numerical analysis and experimental verification. Journal of Computational Electronics, 23(5), 1111–1124. https://doi.org/10.1007/s10825-024-02209-x
[4] Bera, S. K., Chakraborty, M., & Sadhu, P. K. (2024). A modified linear capacitive displacement transducer for any range. Heliyon, 10(20), e38983. https://doi.org/10.1016/j.heliyon.2024.e38983
[5] Chakraborty, M., Sadhu, P. K., & Kumar, B. (2023). Study of a non-contact opto-electronic liquid level transmitter for a conducting liquid using MZI technique. Microsystem Technologies, 29(4), 621–633. https://doi.org/10.1007/s00542-023-05431-y
[6] Paul, D., Sarkar, M., Chaudhuri, A. K., Das, S., &Chakraborty, M. (2023). Prediction of death rate among COVID-19 patients in the age group of 10 to 19 yrs. using machine learning. International Journal of Engineering Technology and Management Sciences, 7(2), 302–308. https://doi.org/10.46647/ijetms.2023.v07i02.036
[7] Mondal, S., Ghosh, U., Das, S., Chaudhuri, A. K., &Chakraborty, M. (2022). Prediction of dependency of crime rate on level of migrant population using Machine Learning. IJARCCE, 11(3). https://doi.org/10.17148/ijarcce.2022.11342
[8] Chakraborty, M., & Jana, B. (2020). Impact of COVID-19 on Cyber Security Threat Landscape in New Reality. Journal Article.
[9] Jana, B., Chakraborty, M., Mandal, T., &Kule, M. (2018). An overview on security issues in modern cryptographic techniques. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3173527
[10] Jana, B., Chakraborty, M., &Mandal, T. (2018). A task scheduling technique based on particle swarm optimization algorithm in cloud environment. In Advances in intelligent systems and computing (pp. 525–536). https://doi.org/10.1007/978-981-13-0589-4_49