Vaneet Aggarwal
Vaneet Aggarwal is a researcher and academic in the field of machine learning. He currently holds the position of University Faculty Scholar and Professor at Purdue University.[1][2] He leads the maChine Learning and quANtum computing (CLAN) research labs at Purdue.[3]
Aggarwal earned his B.Tech. degree in 2005 from Indian Institute of Technology, Kanpur, India. He obtained M.A. and Ph.D. degrees in 2007 and 2010, respectively, from Princeton University in Princeton, NJ, USA. His Ph.D. dissertation was supervised by Prof. Robert Calderbank.[4]
Aggarwal joined Purdue University in January 2015 and is currently a University Faculty Scholar and Full Professor. Prior to this, he was a researcher at AT&T Labs-Research, Florham Park, NJ (2010-2014). He was Adjunct Assistant Professor at Columbia University (EE, 2013-2014), VAJRA Chair Professor at IISc Bangalore (ECE, 2018-2019),[5] Adjunct Faculty at IIIT Delhi (CS, 2022-2023), and Visiting Professor at KAUST, Saudi Arabia (CS, 2022-2023).
His work has been recognized with numerous awards and honors. Notably, he was the recipient of Princeton University's prestigious Porter Ogden Jacobus Honorific Fellowship in 2009, which is the highest honor bestowed upon a graduate student at Princeton University.[6] Purdue University awarded him the Most Impactful Faculty Innovator Award in 2021.[7] Dr. Aggarwal's contributions to the academic community have been acknowledged with several prestigious awards, including the 2017 IEEE Jack Neubauer Memorial Award for the Best Systems Paper published in the IEEE Transactions on Vehicular Technology,[8] 2024 IEEE Communications Society William R. Bennett Prize for the outstanding original paper published in IEEE/ACM Transactions on Networking or the IEEE Transactions on Network and Service Management,[9] the 2018 IEEE Infocom Workshop Best Paper Award,[10] and the 2021 NeurIPS Workshop Best Paper Award.[11][12]
His work "HADAR: Heat-Assisted Detection and Ranging" has appeared on the cover of NATURE, and has been covered in NATURE podcast episode and multiple news.[13][14][15] His work on understanding the natural language of DNA with foundation models[16] is mentioned in Axios.[17]
He was on the Editorial Board of the IEEE Transactions on Green Communications and Networking and the IEEE Transactions on Communications. He is currently serving on the Editorial Board of the IEEE/ACM Transactions on Networking[18] and is co-Editor-in-Chief of the ACM Journal on Transportation Systems[19]
References[edit]
- ^ "Vaneet Aggarwal".
- ^ "Professor Vaneet Aggarwal Named University Faculty Scholar".
- ^ "CLAN Homepage".
- ^ "Decisions in distributed wireless networks with imprecise information" (PDF). ProQuest.
- ^ "Division of EECS, IISc Bangalore".
- ^ "Princeton honors top students at Alumni Day".
- ^ "Recognizing College of Engineering inventors and innovators". 31 January 2022.
- ^ "Aggarwal receives IEEE TVT best paper award".
- ^ "The IEEE Communications Society William R. Bennett Prize".
- ^ "Aggarwal, Elgabli win HotPOST 2018 Best Paper Award".
- ^ "Cooperative AI".
- ^ "Aggarwal and team receive best paper award at 2021 NeurIPS".
- ^ "HADAR: New Method Allows AI to See Through Pitch Darkness Like Broad Daylight". 3 August 2023.
- ^ Bhattarai, Manish; Thompson, Sophia (2023). "Heat-assisted imaging enables day-like visibility at night". Nature. 619 (7971): 699–700. Bibcode:2023Natur.619..699B. doi:10.1038/d41586-023-02333-x. PMID 37495875. S2CID 260170762.
- ^ Pile, David (2023). "Turning night into day". Nature Photonics. 17 (10): 843. Bibcode:2023NaPho..17..843P. doi:10.1038/s41566-023-01297-8. S2CID 263231960.
- ^ Malusare, Aditya; Kothandaraman, Harish; Tamboli, Dipesh; Lanman, Nadia A.; Aggarwal, Vaneet (2023). "Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision". arXiv:2311.02333 [cs.LG].
- ^ "Axios Science: AI learns life's language". Retrieved 16 December 2023.
- ^ "IEEE/ACM Transactions on Networking - People".
- ^ "ACM JOURNAL ON AUTONOMOUS TRANSPORTATION SYSTEMS Home".
