Short Bio

Dr. Ankit Agrawal (Ph.D. 2009, B.Tech. 2006) is a Research Professor in the Department of Electrical and Computer Engineering at Northwestern University, USA, and an honorary professor at Amity University, India. He specializes in interdisciplinary artificial intelligence (AI), machine learning (ML), and deep learning (DL) via high-performance data mining, based on a coherent integration of AI and high-performance computing (HPC) to develop customized AI solutions for big data problems with real-world impact. A pioneer in materials informatics (AI for materials), his interdisciplinary AI research has contributed to large-scale data-driven discoveries in various scientific and engineering disciplines, such as materials science, healthcare, social media, and bioinformatics. He has co-authored 200+ peer-reviewed publications (100+ as first/last author) with 10,000+ citations (h-index: 50+), co-developed and released 20+ software, delivered 75+ invited/keynote talks at major conferences, universities, and companies all over the world, been on program/organizing committees of 50+ conferences/workshops, and served as a PI/Co-PI on 20+ projects with a combined budget of over $100 million, funded by various US federal agencies (e.g., NSF, DOE, AFOSR, NIST, DARPA, DLA) as well as industry (e.g., Toyota Motor Corporation Japan). He is also serving as the Editor-in-Chief of Computers, Materials & Continua, and as the Specialty Chief Editor of HPC Applications section of Frontiers in HPC. He has received many honors and awards throughout his academic career, such as graduating department topper in CSE at IIT Roorkee, research excellence awards during his PhD at Iowa State University, and data science initiative awards and Hind Rattan Award while at Northwestern University. He has been featured in Stanford/Elsevier’s list of top 2% scientists, as well as named a ScholarGPS Top Scholar for being in top 0.5% of scholars worldwide in the fields of machine learning, deep learning, and informatics.