Working at the intersection of Artificial Intelligence and Cybersecurity in Microgrids — developing AI-driven tools for secure operation of DER-rich microgrids and distribution networks.
I am a Ph.D. researcher in Electrical Engineering at The University of Tulsa, working under the supervision of Prof. Suman Rath. My research focuses on the secure operation of DER-rich microgrids and distribution networks at the intersection of AI and Cybersecurity.
My work involves developing AI-driven tools for analyzing cyber-physical power systems, enhancing system reliability, and ensuring secure operation. I also work on advanced machine learning algorithms for fault detection, system monitoring, and resilient control — addressing complex challenges in modern power networks.
I run simulations and machine learning algorithms on the Pete Supercomputer at the University of Tulsa. Beyond research, I am a Guest Reviewer for IEEE Transactions on Power Delivery and Springer Nature: Electrical Engineering.
Focusing on secure operation of DER-rich microgrids and distribution networks against cyber-physical attacks and anomalies.
Developing machine learning and deep learning models for fault detection, classification, and localization in power distribution systems.
Studying the impact of Vehicle-to-Grid integration on urban feeders, with a case study on the Baneshwor feeder in Nepal.
Researching optimal PMU placement for accurate state estimation under contingencies in modern power networks.
Designing adaptive and resilient control frameworks for distributed energy infrastructure using advanced ML algorithms.
Running large-scale power system simulations and ML experiments on the Pete Supercomputer at University of Tulsa.
🥇 1st Place · JOLT Group, University of Tulsa · Converting food waste into premium soil.
🥇 1st Place · Built an AI voice detector to protect users from AI-generated scam calls.
Founder · Trained 5,000+ students across 20 colleges in electronics and engineering projects.
Co-Founder · Online food delivery serving 400+ hostel students, saving 1 hour travel per day.
Interested in collaboration, research discussion, or opportunities? I'd love to hear from you.
A visual journey through research, competitions, teaching, and community impact.
Empowering the next generation of engineers through hands-on technical education across Nepal.
Founded in my 7th semester at IOE Paschimanchal Campus, Electro-Tech was born out of a passion to bridge the gap between theoretical knowledge and practical electronics skills for +2 level students across Nepal.
We delivered hands-on training in electronics, circuit design, Arduino programming, and project development — giving students real engineering experience before they even entered university.
Over 3 years, Electro-Tech trained more than 5,000 students across 20 colleges in Pokhara and Kathmandu, making it one of the largest student-led technical education initiatives in the region.
Winning idea: converting food waste into premium organic soil — a sustainable solution for campus and community.
The Idea Challenge is an innovation competition organized by JOLT Group at The University of Tulsa, where participants pitch creative solutions to real-world problems.
Our team proposed converting food waste generated on campus into premium organic soil — addressing both waste management and sustainability goals simultaneously. The idea combined practical feasibility with measurable environmental impact.
Built an AI-powered voice detection model to distinguish human voices from AI-generated ones — protecting people from scam calls.
AI-generated voices are becoming increasingly indistinguishable from real human voices, enabling a new wave of scam calls that trick people into revealing personal information or sending money.
We built a machine learning model that analyzes audio characteristics to classify whether a voice is human or AI-generated in real time. The system can be integrated into phone call screening applications to automatically flag and block potential scam calls.