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Arindam Banerjee is a distinguished professor in the Department of Computer Science & Engineering at the University of Minnesota. His research interests are primarily in machine learning, data mining, and artificial intelligence, with a focus on developing scalable algorithms, statistical learning theory, and their applications to diverse domains such as climate science, neuroscience, recommendation systems, and spatio-temporal data analysis. He is known for his work on Bregman divergences, exponential family distributions, and their use in clustering and other machine learning tasks.
Arindam Banerjee's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Elevated to IEEE Fellow for contributions to machine learning algorithms and data mining, a distinction reserved for select IEEE members whose extraordinary accomplishments in any of a number of IEEE fields are deemed fitting of this prestigious grade elevation.
Received the National Science Foundation (NSF) CAREER Award, which is a prestigious award in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.
Authored and co-authored numerous highly cited papers in premier machine learning, data mining, and AI conferences (e.g., NeurIPS, ICML, KDD, AAAI) and journals, significantly contributing to the advancement of the field.
Serves or has served on the editorial boards of leading journals in machine learning and data mining, such as the Journal of Machine Learning Research (JMLR) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Frequently serves in leadership roles (e.g., Program Chair, Area Chair, Senior Program Committee member) for major international conferences in AI and Machine Learning, helping to shape the scientific program of these events.
Indian Institute Of Social Welfare and Business Management - Year 1999
Calcutta University - Year 1993
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