Dr. Sandeep Gogineni of Information Systems Laboratories Inc

IEEE AESS Distinguished Lecture on "High Fidelity RF Clutter Modeling and Simulation"

The IEEE Aerospace and Electronic Systems Society (AESS) Student Branch Chapter at MNNIT Allahabad is pleased to invite you to a Distinguished Lecture (DL) on "High Fidelity RF Clutter Modeling and Simulation."

In this lecture, the distinguished speaker will delve into the challenges and advancements in RF clutter modeling, which is crucial for radar system design, electronic warfare, and remote sensing applications. The talk will cover key aspects such as:

• The impact of clutter on radar performance
• State-of-the-art techniques for high-fidelity clutter modeling
• Simulation approaches for realistic RF clutter environments
• Applications in defense, aerospace, and surveillance systems

This session will provide valuable insights for students, researchers, and professionals working in the field of radar signal processing, electronic warfare, and RF system design. Attendees will have the opportunity to interact with an expert in the domain and enhance their understanding of real-world RF clutter challenges and solutions.

Biography:

Dr. Sandeep Gogineni is currently senior research scientist at Information Systems Laboratories Inc., USA.  He has over 17 years of experience working on radar and wireless communications systems. He worked for 6 years as an on-site contractor for Air Force Research Laboratory (AFRL), developing novel signal processing algorithms and performance analysis for passive radar systems. He received the 2018 IEEE Dayton Section Aerospace and Electronics Systems Society Award for these contributions to passive radar signal processing. Prior to his time at AFRL, during his graduate studies at Washington University in St. Louis, Dr. Gogineni developed optimal waveform design techniques for adaptive MIMO radar systems and demonstrated improved target detection and estimation performance. This work was recognized with the Best Student Paper Award at the 2012 International Waveform Diversity & Design Conference (WDD). At Information Systems Laboratories Inc., Dr. Gogineni has been working as a senior research scientist on developing state-of-the-art high-fidelity RF modeling and simulation tools, channel estimation algorithms and optimal probing strategies for MIMO radar systems in the context of Cognitive Fully Adaptive Radar (CoFAR). He has also developed AI/ML based solutions for complex RF applications and implemented them on low C-SWaP neuromorphic hardware. His expertise includes statistical signal processing, modeling and simulation, detection and estimation theory, machine learning, artificial intelligence, performance analysis, and optimization techniques with applications to active and passive radar systems. 

Address:Information Systems Laboratories Inc, , United States