Prof Dr. Vaneet Aggarwal | Machine Learning | Best Researcher Award

Prof. Dr. Vaneet Aggarwal, an accomplished scholar with a Ph.D. in Electrical Engineering from Princeton University, is currently a distinguished faculty member at Purdue University. With a diverse academic background spanning machine learning, computational perception, and computer science, he has garnered recognition for his impactful contributions. 🌟 His research interests encompass a wide array of cutting-edge fields, including reinforcement learning, generative AI, quantum machine learning, and federated learning. 🧠 Through leadership roles in prestigious journals and institutions, such as ACM Journal of Transportation Systems and Purdue-TVS Advanced AI Program, he continues to drive innovation at the intersection of AI and various domains, ranging from networking to healthcare. 🚀 Honored with accolades like the IEEE Communications Society William R. Bennett Prize and featured in esteemed publications like Nature and Axios News, Prof. Aggarwal’s work exemplifies excellence in advancing the frontiers of artificial intelligence. 🏆

🌐 Professional Profile:

Google Scholar

Education

• Ph.D. in Electrical Engineering, Princeton University, Princeton, New Jersey, July 2010
  • Thesis: Decisions in Distributed Wireless Networks with Imprecise Information
  • Minors: Machine Learning and Computational Perception, Computer Science
  • Advisor: Prof. A. Robert Calderbank
• M.A. in Electrical Engineering, Princeton University, Princeton, New Jersey, June 2007
• Bachelor of Technology in Electrical Engineering, Indian Institute of Technology, Kanpur, May 2005

Work Experience

• Purdue University, West Lafayette, Jan. 2015 – Current: Faculty in the School of Industrial Engineering and Elmore Family School of Electrical and Computer Engineering
• KAUST, Saudi Arabia, May 2022 – Aug 2023: Visiting Professor
• IIIT Delhi, Jan 2022 – Mar 2023: Adjunct Professor
• Plaksha University, Nov 2022 – Jan 2023: Adjunct Professor
• Indian Institute of Science (IISc) Bangalore, May 2018 – Apr 2019: VAJRA Adjunct Faculty
• AT&T Labs Research, NJ, Aug. 2010 – Dec. 2014: Senior Member of Technical Staff-Research
• Columbia University, New York, NY, Aug. 2013 – Dec. 2014: Adjunct Assistant Professor

Key Leadership Experience

• ACM Journal of Transportation Systems, co-Editor-in-Chief, 2022-Current
• Director of Potential NSF AI Institute on Human-AI Decision Making at Scale, 2021-Aug 2022
• Founding Technical Lead Purdue-TVS Advanced AI Program, 2021-Current
• AI Thrust Lead in Purdue Center of Intelligent Infrastructures, 2019-Current

Honors & Awards

• Purdue University Faculty Scholar Professor, 2024-Current
• IEEE ComSoc Distinguished Lecturer for the class of 2024-2025
• 2024 IEEE Communications Society William R. Bennett Prize
• Featured on Axios News for paper [J176] in 2023
• Featured on Cover of Nature for paper [J139] in 2023
• NeurIPS Workshop Best Paper Award in 2021
• Most Impactful Faculty Innovator, Purdue University in 2020
• Infocom Workshop Best Paper Award in 2018