Seetaram Maurya

Seetaram Maurya is an academic and researcher specializing in machine learning, deep learning, and signal processing. He is currently pursuing his Ph.D. at Indian Institute of Technology Kanpur and completed his M.S. from the same institution. His research focuses on developing advanced diagnostic and prognostic algorithms for rotary machines.

His broader areas of interest include machine learning, deep learning, computer vision, representation learning, condition-based monitoring, time-series forecasting, and data-driven industrial automation. He has published his work in leading IEEE journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Automation Science and Engineering, IEEE Sensors Journal, and IEEE Transactions on Artificial Intelligence. He also actively contributes to the academic community as a reviewer for reputed IEEE journals and conferences.

Seetaram Maurya recently joined UPES as an Assistant Professor. Before joining UPES, he worked as a Senior Student Research Associate at Defence Research and Development Organisation, where he contributed to defense object recognition, autonomous perception, and machine vision tasks in outdoor environments.

At Indian Institute of Technology Kanpur, he gained extensive teaching experience as a Teaching Assistant for courses in machine learning, artificial intelligence, fuzzy systems, and industrial automation.

Machine Learning | Deep Learning | Signal Processing | Condition-Based Monitoring | Fault Diagnosis | Remaining Useful Life Prediction | Computer Vision | Time-Series Forecasting | Representation Learning

Seetaram Maurya's teaching philosophy is rooted in the belief that learning should be interactive, practical, and inclusive. He emphasizes a problem-solving approach, encouraging students to explore concepts through real-world applications and hands-on experimentation.

His pedagogy integrates classroom teaching with project-based learning and active discussions. He believes teaching should inspire curiosity, build confidence, and develop both technical and soft skills.

Database Management Systems | Linux Lab

Mentored a project that received the Award of $500 under "Serving Society Through Science" at Regeneron ISEF 2023.

Maurya has published extensively in reputed IEEE Transactions journals, contributing novel methods in hybrid deep learning, fuzzy modeling, feature fusion, and intelligent health monitoring of machines. He has authored conference papers in leading venues such as IEEE ICPHM, CATCON, ISAP, and ICCCIS, and has also contributed Springer book chapters in computational intelligence.

He actively serves as a reviewer for major journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Industrial Electronics, and IEEE Sensors Journal.

In addition to research and reviewing, he has mentored M.Tech and MS(R) students on projects related to deep learning, load forecasting, prognosis modeling, and generative models such as VAE and GAN. His scholarly engagement reflects his commitment to advancing machine learning and intelligent maintenance systems.

Email: seetaram.maurya@ddn.upes.ac.in