Shitikantha Dash is an incoming Gund Postdoctoral Fellow at the University of Vermont (UVM). Before joining UVM, he was a research associate at the Indian Institute of Technology (IIT) Ropar, Rupnagar, India. He received his doctoral degree from IIT Ropar in 2022 and bachelor's and master's degrees in Electrical and Electronics Engineering and Power System Engineering from the Biju Patnaik University of Technology, Rourkela, India, in 2013 and 2016, respectively. His primary research interests can broadly be categorised into twofold, viz., 1) Energy Monitoring (low-cost and convenient solutions for appliance-wise energy consumption monitoring in residences) and 2) Energy Management (energy management strategies for tariff and state-regulation sensitive residential grids).

In his tenure at IIT Ropar, he addressed the problems of Indian residential communities subjected to inclining block rate (IBR) tariffs by reducing monthly energy bills and maintaining the supply-demand mismatch using an integer programming-based bilayer clustered-priority-driven decision mechanism. Residential energy storage systems and incentive models played a vital role in grid stability and handling uncertainties. Later for a futuristic scenario – an environment with local energy market provisions – he developed an ADMM-based decentralised energy management model that solves the OPF efficiently and quickly for a resource-scarce small residential community with less aggregation flexibility.