Jaideep Srivastava (https://www.linkedin.com/in/jaideep-srivastava- 50230/) is Professor of Computer Science at the University of Minnesota, where he directs a laboratory focusing on research in Applied Machine Learning, focusing in the areas of Healthcare and Social Media. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and has been an IEEE Distinguished Visitor and a Distinguished Fellow of Allina’s Center for Healthcare Innovation. He has been awarded the Distinguished Research Contributions Award of the PAKDD, for his lifetime contributions to the field of machine learning and data mining. He has supervised 39 PhD dissertations, and over 65 MS theses. He has also mentored a number of post-doctoral fellows and junior scientists in the industry and academia. He has authored or co-authored over 425 papers in journals and conferences, and 8 patents. Seven of his papers have won best paper awards, and he has a Google Scholar citation count of over 26,477, an h-index of 59, and an i10 index of 250 (https://scholar.google.com/citationsuser=Y4J5SOwAAAAJ&hl=en&oi=ao). He has a BTech from the Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD from the University of California, Berkeley; all of his degrees are in Computer Science and Engineering. 

Dr. Srivastava’s research has been supported by a broad range of government agencies, including NSF, NASA, ARDA, DARPA, IARPA, NIH, CDC, US Army, US Air Force, and MNDoT; and industries, including IBM, United Technologies, Eaton, Honeywell, Cargill, and Allina. He is a regular participant in the evaluation committees of various US and international funding agencies, on the organizing and steering committees of various international scientific forums, and on the editorial boards of a number of journals. He has significant experience in the industry, in both consulting and executive roles. Most recently he was the Chief Scientist for Qatar Computing Research Institute (QCRI), which is part of Qatar Foundation. Earlier, he was the data mining architect for Amazon.com (www.amazon.com), built a data analytics department at Yodlee (www.yodlee.com), and served as the Chief Technology Officer for Persistent Systems (www.persistentsys.com). He has provided technology and strategy advice to Cargill, United Technologies, IBM, Honeywell, KPMG, 3M, TCS, Cargill and Eaton. Dr. Srivastava Co-Founded Ninja Metrics (www.ninjametrics.com), based on his research in behavioral analytics. He was advisor and Chief Scientist for CogCubed (www.cogcubed.com), an innovative company with the goal to revolutionize the diagnosis and therapy of cognitive disorders through the use of online games, which was subsequently acquired by Teladoc (https://www.teladoc.com/), and for Jornaya (https://www.jornaya.com/). 

Dr. Srivastava has held distinguished professorships at Heilongjiang University and Wuhan University, China. He has held advisory positions with the State of Minnesota, and the State of Maharashtra, India. He is an advisor to the Unique ID (UID) project of the Government of India, whose goal is to provide biometrics-based social security numbers to the 1.25+ billion citizens of India. He has delivered over 170 invited talks in over 35 countries, including more than a dozen keynote addresses at major international conferences. He has a BTech from the Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD from the University of California, Berkeley; all of his degrees are in Computer Science and Engineering.