The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)
Center for Education and Research in Information Assurance and Security

Rajiv Khanna

Rajiv Khanna

Title

Assistant Professor  

Department

Email

rajivak@purdue.edu 

URL

https://www.cs.purdue.edu/people/faculty/rajivak.html 

Education

University of Texas at Austin – PhD (ECE) 2018
Indian Institute of Technology Bombay – Masters in Technology (CS) 2008
National Institute of Technology Jallandhar – Bachelors in Technology (CS) 2006 

Research Areas

Artificial Intelligence, Machine Learning, and Natural Language Processing 

Key Areas

Artificial Intelligence, Machine Learning, and Natural Language Processing 

Notable Experience

Program Committee/ Reviewer : ICML 2022, Neurips 2021, ICML2021, AISTATS 2020, NeurIPS 2020, ICML 2020, AAAI 2020, ICLR 2020, NeurIPS 2019, AAAI 2019, CVPR 2019, ICML2019, ICCV 2019, AISTATS 2019, eurIPS 2018, ICML2018, NeurIPS 2017, ICML2017, NeurIPS 2016, WWW 2017, Workshop on Advances in Approx. Bayesian Inference (NeurIPS) 2015/2016/2017/2018.

• Google Research (Fall 2021) -- Visiting Researcher
• UC Berkeley (Spring 2019 – Spring 2021) – Postdoc at Dept of Statistics (Mentor: Michael Mahoney)
• Simons Institute at UC Berkeley (Fall 2018) - Research Fellow in the program for Foundations of Data Science.
• ETH Zurich (Summer 2015) -- Generalized Pursuit algorithms. (Mentor: Martin Jaggi)
• Microsoft Research (Summer 2014) – Summer Intern (Mentor: Sathiya Keerthi)
• LinkedIn Inc. (Summer 2013) – Summer Intern (Mentor: Liang Zhang/Deepak Agarwal)
• Research Engineer at Yahoo! Labs Bangalore (July 2008-July 2012) – Full time employee, worked on web scale
click prediction, recommendation systems, modeling skewed data, information corroboration 

Notable Awards

Best Paper Award at NeurIPS 2020 (Top 3 out of over 9400 submissions)
Simons-Berkeley Research Fellowship (Fall 2018)
Awarded Phillips Scholarship and ‘most outstanding student’ (top-1) of 2008 Masters (CS) IIT Bombay 

Publications

https://scholar.google.com/citations?user=523w4w8AAAAJ 

Biography

Rajiv Khanna is an Assistant Professor in the Department of Computer Science. His research interests span various subfields of machine learning including optimization, theory and interpretability.

Previously, he held positions of Visiting Faculty Researcher at Google, postdoctoral scholar at Foundations of Data Analystics Institute at University of California, Berkeley and a Research Fellow in the Foundations of Data Science program at the Simons Institute also at UC Berkeley. He graduated with his PhD from UT Austin.