- Leman Akoglu, Carnegie Mellon University: Dr. Akoglu is an assistant professor of Information Systems at the Heinz College of Carnegie Mellon University, with courtesy appointments in the Computer Science and Machine Learning Departments of School of Computer Science. She received her PhD from the Computer Science Department at Carnegie Mellon University in 2012. Her research interests are algorithmic problems in data mining and applied machine learning, focusing on patterns and anomalies, with applications to fraud and event detection. Dr. Akoglu's research has won 6 publication awards; Best Student Machine Learning Paper Runner-up at ECML PKDD 2018, Best Paper Runner-up at SIAM SDM 2016, Best Paper at SIAM SDM 2015, Best Paper at ADC 2014, Best Paper at PAKDD 2010, and Best Knowledge Discovery Paper at ECML PKDD 2009. Dr. Akoglu is a recipient of the NSF CAREER award (2015) and Army Research Office Young Investigator award (2013). Her research has been supported by the NSF, US ARO, DARPA, Adobe, Facebook, Northrop Grumman, PNC Bank, and PwC.
- Nitesh Chawla, University of Notre Dame: Dr. Chawla is the Frank M. Freimann Professor of Computer Science and Engineering, and director of the research center on network and data sciences (iCeNSA) at the University of Notre Dame. He started his tenure-track career at Notre Dame in 2007, and quickly advanced from assistant professor to an endowed (chaired) full professor position in 2016 (nine years). He has brought in over $26M dollars in research funding to Notre Dame. He has received numerous awards for research, innovation, and teaching. He is the recipient of the 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, National Academy of Engineering New Faculty Fellowship, 1st Source Bank Technology Commercialization Award, and his PhD dissertation also received the Outstanding Dissertation Award. His papers have received several outstanding paper nominations and awards. In addition, his students are also recipient of several honors, including Honorable Mention for Outstanding Dissertation Award at KDD’17. In recognition of the societal and impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is a two-time recipient of Outstanding Teaching Award at Notre Dame. He is a Fellow of the Reilly Center for Science, Technology, and Values;, Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies at Notre Dame. He is the founder of Aunalytics, a data science software and solutions company.
- Senthil Kumar, Capital One: Dr. Kumar is the Chief ML Scientist at the Center for Machine Learning at Capital One where he applies Machine Learning and AI to various business problems. Prior to joining Capital One, he was at Bell Labs where he developed new technologies and managed several successful products that have been licensed around the world. He has published over 30 papers and holds 6 patents. Most recently, he co-organized the KDD 2019 Workshop on Anomaly Detection in Finance, and the 2019 NeurIPS Workshop on Robust AI in Financial Services.
- Jose A. Rodriguez-Serrano, BBVA AI Factory, Spain: Jose A. Rodriguez-Serrano leads one of the Data Science programs at the BBVA AI Factory. He has been with BBVA since 2015. Formerly, he was the manager of the Machine Learning for Services group at Xerox Research. He holds a PhD in Computer Vision from Universitat Autonoma de Barcelona., Spain. He has published articles in A* conferences and journals (NeurIPS, CVPR, ICCV, TPAMI, IJCV), holds more than 20 patents, and has helped deploy machine learning systems into real applications. He is passionate about the impact of machine learning in industry, and in how to best organize data science teams.
- Tanveer Faruquie, Capital One: Tanveer A Faruquie is a Senior Director of Data Science at Capital One Labs where he heads the Machine Learning and AI group. Prior to joining Capital One, he worked at IBM Research where he conducted research, developed products and built solutions in the areas of Human Language Technologies, Information Management and Business Analytics. His interests include Machine Learning, Natural Language Processing, Cognitive computing and Scalable analytics. He has over 50 publications and 20 patents, served as PC member of over 30 conferences and is a senior member of IEEE and ACM.
- Saurabh Nagrecha, Capital One: Saurabh Nagrecha is a Senior Machine Learning Researcher and Tech Lead at Capital One. He received his PhD from the Department of Computer Science and Engineering at the University of Notre Dame in 2017 specializing in machine learning. His research interests span across data science and machine learning with a focus on highly imbalanced cost-sensitive systems problems such as fraud & anomaly detection and anti-money laundering. He leads the network analytics team combating money laundering within Capital One. He is also an adjunct faculty member at Capital One Tech College where he leads the development of courses in the area of Network Science.