Krishna Narayanan

Co-director, Professor, Electrical and Computer Engineering.

• • AI-native wireless networks
• • PHY/MAC, information theory

Srinivas Shakkottai

Co-director, Professor, Electrical and Computer Engineering.

• • AI-native wireless systems
• • Reinforcement learning, Robotics

Moble Benedict

Associate Professor, Aerospace Engineering

• • Design, development and autonomous control of high-performance next-generation aircraft at small (MAVs/UAVs) and full scales
• • Energy-efficient green aviation

Jean-Francois Chamberland

Professor, Electrical and Computer Engineering

• • Statistical signal processing
• • Machine learning, AI-native wireless networks

Sabit Ekin

Associate Professor, Engineering Technology & Industrial Distribution

• • Wireless communication, mmWave and Terahertz communication
• • Internet of Things applications, Satellite communication

Kamran Entesari

Professor, Electrical and Computer Engineering

• • Electromagnetics, antennas
• • Circuits

Zhiwen Fan

Assistant Professor, Electrical and Computer Engineering.

• • Multi-modal learning, generative AI
• • Robotics, spatial computing

Swaminathan Gopalswamy

Research Professor, Mechanical Engineering

• • Autonomous systems, Automotive systems
• • Distributed simulation and Control

Eman Hammad

Assistant Professor, Engineering Technology & Industrial Distribution

• • Cyber-Physical Systems’ Security, Trust, and Resilience
• • Autonomous, Collaborative and Human-in-the-Loop Complex Systems

I-Hong Hou

Professor, Electrical and Computer Engineering

• • Cyber-Physical Systems’ Security, Trust, and Resilience
• • MAC, AI-native wireless networks

Shuiwang Ji

Professor, Computer Science and Engineering

• • Machine learning, Artificial intelligence
• • Language models and Agents

Dileep Kalathil

Associate Professor, Electrical and Computer Engineering

• • Reinforcement learning
• • Artificial intelligence

P.R. Kumar

Professor, Electrical and Computer Engineering, Member of the National Academy of Engineering

• • Stochastic systems and control
• • AI-native wireless networks
• • Machine learning theory

Kiju Lee

Associate Professor, Engineering Technology & Industrial Distribution and Mechanical Engineering.

• • Robotics, swarm intelligence
• • Human-robot interaction, novel mechanism design

Manoranjan Majji

Professor, Aerospace Engineering, Associate Department Head for Space Engineering.

• • Structural systems, computational vision
• • Astronautics, dynamical systems, aerospace robotics

Jason O’Kane

Professor, Computer Science and Engineering

• • Motion planning
• • Autonomous robots, Computational geometry

Varun Murali

Assistant Professor, Electrical and Computer Engineering.

• • Hierarchical semantic mapping for robotics
• • Perception-aware planning, tasking, and autonomy

Srikanth Saripalli

Professor, Mechanical Engineering.

• • Robotics
• • Autonomous systems

Nitesh Saxena

Professor, Computer Science and Engineering

• • Security
• • Software systems

Dylan Shell

Professor, Computer Science and Engineering

• • Distributed AI
• • Analysis of multi-agent systems, Crowd modeling

Chao Tian

Associate Professor, Electrical and Computer Engineering

• • Machine learning theory
• • Information theory, source coding

Tianbao Yang

Professor, Computer Science and Engineering

• • Artificial intelligence
• • Optimization in Machine learning

Ruowan Ji

Ph.D. Student

• • Retreival augmentation generation
• • Federated learning
• • Distributed Coded Matrix Multiplication

Zaiyan Xu

Ph.D. Student

• • Reinforcement learning
• • Distributionally robust optimization
• • Reinforcement learning from human feedback

Vishnu Teja Kunde

Ph.D. Student

• • LLMS for wireless communications
• • Diffusion models

Fatemeh Doudi

Ph.D. Student

• • Diffusion models
• • Transformers and In-context Learning

Mahdi Farahbakhsh

Ph.D. Student

• • Diffusion models
• • Transformers
• • Inverse problems

Sarat Chandra Bobbili

Ph.D. Student

• • Reinforcement Learning
• • Large language models
• • Online learning and Multi-Armed Bandits
• • Stochastic Analysis

Jeremy Carleton

Ph.D. Student

• • Inference-time alignment of large language models
• • Online learning

Kaushik Valmeekam

Ph.D. Student

• • AI-native wireless communications
• • LLMs and Transformers
• • ML based Joint Source Channel Coding

Bhavya Nukapotula

Ph.D. Student

• • ML for wireless communications
• • Adaptive Gaussian Splatting Methods

Yu-Shin Huang

Ph.D. Student

• • LLM-based Steganography
• • LLM Watermarking

Debajoy Mukherjee

Ph.D. Student

• • Reinforcement learning through Human Feedback
• • LLM reasoning

Ujwal Dinesha

Ph.D. Student

• • End-to-End Learning for Robotics
• • LLM Alignment
• • Deep Learning based Video Compression
• • Bandit Algorithms

Sushil Vemuri

M.S. Student

• • Large Language Models
• • Reinforcement Learning

Jamison Ebert

Employment:Qualcomm, Inc

Michail Gkagkos

Employment:Qualcomm, Inc