1. The group broadly works in the various applications of Data Science approaches. 
  2. We are also involved in exploring various technological advances in the domain of Smart Cities. 
  3. Multivariate Time Series analysis for the effective price and electrical load forecasting with utilizing deep learning techniques. 
  4. In addition to this, we are also addressing the safety of the SG resources by implementing a load balancing model that permits a successful energy supply for the entire grid taking into consideration the prediction of future consumption 
  5. The research work is also oriented towards Federated Learning , Digital Twin and Internet of Things.

International Cooperation and Projects (Ongoing)

  1. MoU with Bielefeld University, Germany (Operation and Decision Technology)
  2. MoU with University of Hildesheim, Germany (Machine Learning) 
  3. MoU with University of Messina, Italy in the field of IoT, Cloud Computing and Distributed Systems.
  4.  MoU with Technische Hochschule Mittelhessen University of Applied Sciences (THM) for academic cooperation and exchange.
  5.  Indo-Norway joint project (Norwegian University of Science & Technology) named as “Cyber Physical Security in Energy Infrastructure of Smart Cities,CPSEC” 

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