Paritosh Ramanan

Dr. Paritosh Ramanan is an Assistant Professor at the School of Industrial Engineering and Management, Oklahoma State University, specializing in federated machine learning, decentralized optimization, and blockchain applications for power systems and industrial IoT. Prior to OSU, he was a NASA HOME Postdoctoral Fellow at Georgia Tech, where he focused on vertical federated learning for resilient Mars habitats. His research bridges computational science, cybersecurity, and energy systems optimization.

• Ph.D. in Computational Science and Engineering (minor in Operations Research), Georgia Institute of Technology (2020)
• M.S. in Computer Science, Georgia State University (2015)
• M.Sc.(Tech) in Information Systems, BITS-Pilani (2013)

Dr. Ramanan's research centers on decentralized machine learning architectures, with applications to power grid security, industrial IoT analytics, and blockchain-based systems. His work develops asynchronous optimization frameworks for large-scale energy problems and explores privacy-preserving computing paradigms. Current projects include federated battery diagnosis and transformer-based maintenance optimization in manufacturing.

His publications demonstrate a focus on blockchain applications for secure decentralized systems, federated learning in energy networks, and asynchronous algorithms for stochastic optimization. Key trends include integrating physics-informed models with machine learning for cyberattack detection and improving renewable energy system reliability through distributed computing.

• 1st Prize Winner, IISP Demo Day 2020 - Commercialization Track
• Sam Nunn Fellowship for Security Program (2018-2019)

Dr. Ramanan has received grants including the SaTC: CORE: Small award for privacy-preserving cyberattack detection and the EAGER: CET grant for decentralized decarbonization algorithms. His prior work includes deploying the INDIGO distributed gossip framework on Chile's Llaima volcano for seismic tomography applications.