Sambalpur University Institute of Information Technology


Dr. Kalyan Das

Assistant Professor

He joined the institution in October 2012 as an Assistant Professor in Computer Science and Engineering. He has also served as an Associate System Engineer in IBM India Pvt. Ltd. He pursued his B.Tech. in Information Technology from Berhampur University, Odisha, M.Tech. from PESIT, Bangalore, and Ph.D. in Computer Science and Engineering from VSSUT, Burla, Odisha. He has published many papers in international journals and conferences. His research interests include Wireless Sensor Networks, Cloud Computing, and Machine Learning.

Biographical Info


  1. B. Tech (IT) – Berhampur University
  2. M. Tech (CSE)- PESIT, Bangalore
  3. Ph. D (CSE) – VSSUT, Burla


  • Teaching: 12 years
  • Industry: 1 years
  • Subjects Taught: Algorithm, Computer Network, Wireless Sensor Network, Theory of Computation, Computer Architecture and Organization, Computer Graphics
  • Guidance
    • B.Tech: 20
    • M.Tech/MCA/MSc/M.Phil: 08
    • Ph.D: Continuing(01)


  • UGC-NET 2013
  • GATE 2007


  • Training/Workshop: 12
  • Number of Journals: 08
1 Das, K., Das, S., & Panigrahi, S. (2023). Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method. Wireless Personal Communications, 129(4), 2929-2944. [Springer, IF: 2.2, SCIE, Scopus]
2 Das, K., & Das, S. (2022). Energy-efficient cloud integrated sensor based on clustering and multihop transmission. Science, Engineering and Health Studies, 22040001-22040001. [Silpakorn University Science and Technology, Scopus]
3 Sethy, P. K., Geetha Devi, A., Padhan, B., Behera, S. K., Sreedhar, S., & Das, K. (2023). Lung cancer histopathological image classification using wavelets and AlexNet. Journal of X-Ray Science and Technology, (Preprint), 1-11. [IOS Press, IF: 3, SCIE, Scopus]
4 Das, K., Das, S., Darji, R. K., & Mishra, A. (2018). Survey of energy-efficient techniques for the cloud-integrated sensor network. Journal of Sensors, 2018. [Hindawi, IF: 1.9, SCIE, Scopus]
5 Das, K., & Das, S. (2022). Energy-Efficient Cloud-Integrated Sensor Network Model Based on Data Forecasting Through ARIMA. International Journal of e-Collaboration (IJeC), 18(1), 1-17. [IGI Global, ESCI, Scopus]
6 Das, K., Das, S., & Mohapatra, A. (2020). A novel energy-efficient sensor cloud model using data prediction and forecasting techniques. Karbala International Journal of Modern Science, 6(3), 1-10. [Karbala University, Scopus]
7 Das, K., & Das, S. (2020). Data Prediction and Forecasting Techniques Based Energy Efficient Cloud-integrated Sensor Network. Science & Technology Asia, 81-92. [Thammasat University, Scopus]
8 Satpathy, P., Das, K., & Padhi, J. (2015). Improved Rejection Penalty Algorithm with Multiprocessor Rejection Technique. International Journal of Electrical and Computer Engineering, 5(3), 477. [Institute of Advanced Engineering and Science, Scopus]


1 Das, K., Das, S., Darji, R. K., & Mishra, A. (2017, May). Energy efficient model for the sensor cloud systems. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 373-375). IEEE.
2 Das, K., Das, S., Mishra, A., & Mohapatra, A. (2017, May). Energy efficient data prediction model for the sensor cloud environment. In 2017 international conference on IoT and application (ICIOT) (pp. 1-3). IEEE.
3 Das, K., Das, S., Darji, R. K., & Mohanta, J. P. (2021, February). Request Integration and Data Prediction Based Energy Efficient Cloud Integrated Wireless Sensor Network. In 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1-7). IEEE.
4 Das, K., & Das, S. (2020, December). Energy-Efficient Cloud Integrated Sensor Network using inter Sensor Owners based multi-hop Routing. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) (pp. 1359-1361). IEEE.
5 Nanda, S. S., Das, K., Padhi, J., & Hota, S. (2016, March). Advanced move-to-front for list access problem. In 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1-4). IEEE.
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