Dr. Prajnyajit Mohanty
Indian Institute of Technology Bhubaneswar, IIIT Bhubaneswar
About
Prajnyajit Mohanty received the B.Tech. degree in Electronics and Instrumentation Engineering (EIE) from the National Institute of Science and Technology (NIST), Berhampur, India, the M.Tech. degree in Control and Instrumentation Engineering (C&I) from Veer Surendra Sai University of Technology (VSSUT), Burla, India, and the Ph.D. degree in Electronics and Communication Engineering (ECE) from National Institute of Technology Rourkela (NIT Rourkela), India.
He is currently working as a Postdoctoral Fellow under the Visvesvaraya PhD Scheme of the Ministry of Electronics and Information Technology (MeitY), Government of India, with the School of Electrical and Computer Sciences (SECS), Indian Institute of Technology Bhubaneswar (IIT BBS), India.
His research interests lie at the intersection of multidisciplinary technologies, including energy harvesting, sustainable computing, Internet of Things (IoT), low-power system design, and machine learning for renewable energy applications.
Dr. Mohanty has actively contributed to the research community as a reviewer for multiple reputed international journals and conferences, including IEEE Transactions, Elsevier, Springer, and other leading publishers. He has also been involved in evaluating manuscripts in the domains of smart energy systems, AI-driven optimization, and embedded intelligence.
Employment
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Indian Institute of Technology Bhubaneswar Post Doctoral Fellow2026 - Present
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IIIT Bhubaneswar Assistant Professor2025 - 2026
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- bSlight 2.0: Battery-Free Sustainable Smart Street Light Management System Save
- EMD Based Hybrid Machine Learning Framework for Solar Energy Forecasting Save
- Sus-Bin: Sustainable Battery-Free Smart Garbage Bin for Solid Waste Management in Smart City Save
- BSlight: Battery-Less Energy Autonomous Street Light Management System for Smart City Save
- Deep Learning Based Energy Predictive Model for Task Scheduling in Sustainable IoT Save
- Deep Learning Based Framework for Forecasting Solar Panel Output Power Save
- EVERYTHING YOU WANTED TO KNOW ABOUT CONSUMER LIGHT MANAGEMENT IN SMART ENERGY Save
- EnSlight: Energy Autonomous LoRaWAN-Based, IoTEnabled, Real-Time Street Light Management System for Smart Cities and Smart Villages Save
- Exploring data-driven multivariate statistical models for the prediction of solar energy Save
- SolarPred: Hybrid Machine Learning Based Time Series Prediction Model for Solar Energy Applications Save