“Dr. Ananya Chakraborty is an Assistant Professor in the Department of Computer Science. She earned her Ph.D. in Computer Science and Engineering from NIT Jalandhar in March 2024, where her research focused on optimizing task offloading in integrated Cloud-Fog-IoT frameworks using a modified swarm intelligence algorithm. She also holds an M.Tech in Computer Science and Engineering from Guru Nanak Dev University and a B.Tech in Computer Science and Engineering from NIT Jalandhar.
Her research interests span Cloud Computing, optimization algorithms, and the integration of emerging technologies in IoT systems. Dr. Chakraborty is particularly interested in how these technologies can be leveraged to build efficient, scalable, and sustainable systems for real-world applications.
As an educator, Dr. Chakraborty is committed to fostering a learning environment that encourages curiosity, critical thinking, and the practical application of theoretical concepts. She is passionate about helping students navigate the rapidly changing landscape of technology by providing insights from recent advancements in her field.
Dr. Chakraborty’s teaching philosophy emphasizes empowering students to not only excel in their studies but to develop the skills necessary to thrive in an ever-evolving technological world.”
"Our greatest glory is not in never falling, but in rising every time we fall." – Confucius
Chakraborty, A., Kumar, M., & Chaurasia, N. (2023). Secure framework for IoT applications using Deep Learning in fog Computing. Journal of Information SCI Security and Applications, 77. https://doi.org/10.1016/j.jisa.2023.103569: Elsevier.
Chakraborty, A., Kumar, M., Chaurasia, N., & Gill, S. S. (2022). Journey from cloud of things to fog of things: Survey, new trends, and research directions. Software - Practice and Experience, August. https://doi.org/10.1002/spe.3157, Wiley, SCIE
Chakraborty, A., Deep Kaur, P., & Chakraborty, J. N. (2019). Automation in colouration technology to predict dyeing parameters for desired shade and fastness. Indian Journal of Fibre & Textile Research, (Vol. 44). http://14.139.47.23/index.php/IJFTR/article/view/21976, IJFTR, SCIE
Chakraborty, A., Kumar, M. & Chaurasia, N. An intelligent offloading and resource allocation using Fuzzy-based HHGA algorithm for IoT https://doi.org/10.1007/s10586-024-04536-x, Springer, SCIE.
Top Cited Article 2022-2023 for the journal: Software: Practice and Experience for the paper titled 'Journey from cloud of things to fog of things: Survey, new trends, and research directions'
