Nitesh Chawla

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Nitesh Chawla
Other namesNitesh V. Chawla, N.V. Chawla
Alma materUniversity of South Florida
OrganizationUniversity of Notre Dame
Notable workSMOTE: Synthetic Minority Over-sampling TEchnique
TitleFrank M. Freimann Professor of Computer Science and Engineering
HonoursFellow of AAAI, ACM, IEEE, AAAS
Websitehttp://niteshchawla.nd.edu

Nitesh V. Chawla is a computer scientist and data scientist currently serving as the Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame.[1][2] He is the Founding Director of the Lucy Family Institute for Data & Society. Chawla's research expertise lies in machine learning, data science, and network science.[1][3] He is also the co-founder of Aunalytics, a data science software and cloud computing company.[3][4] Chawla is a Fellow of the American Association for the Advancement of Sciences (AAAS), Association for Computing Machinery (ACM), a Fellow of the Association for the Advancement of Artificial Intelligence, a Fellow of the Asia Pacific Artificial Intelligence Association, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).[5][6] He has received multiple awards, including the 1st Source Bank Commercialization Award in 2017, Outstanding Teaching Award (twice), IEEE CIS Early Career Award, National Academy of Engineering New Faculty Award, and the IBM Big Data Award in 2013.[7] One of Chawla's most recognized publications, with a citation count of over 25,000, is the research paper titled "SMOTE: Synthetic Minority Over-sampling Technique."[8] Chawla's research has garnered a citation count of over 62,000 and an H-index of 80.[9]

Background[edit]

Nitesh V. Chawla completed his Bachelor of Engineering in Computer Science from the University of Pune, India, in 1997.[10] In 1999, Chawla earned a Master of Science degree in Computer Science and Engineering from the University of South Florida. He went on to complete his Ph.D. in Computer Science and Engineering at the University of South Florida in 2002. He worked at the Canadian Imperial Bank of Commerce as a Senior Risk Modeling Manager from 2002 to 2004. He joined the University of Notre Dame as a Research Assistant Professor in 2005. He began his tenure-track career also at Notre Dame in 2007. [10]

Academic career[edit]

University of Notre Dame[edit]

Chawla started as a tenure-track assistant professor in Computer Science and Engineering in 2007. [11] He specializes in data science, network science, artificial intelligence, and machine learning, holding the position of Frank M. Freimann Professor of Computer Science and Engineering since 2015.[2] Chawla is also a concurrent professor of Information Technology Analytics and Operations in the College of Business, as well as Applied and Computational Mathematics and Statistics in the College of Science at University of Notre Dame. He also served as the director of the Center for Network and Data Science from 2011 to 2020.[12] He is also the Founding Director of the Lucy Family Institute for Data and Society. Additionally, he holds Fellowships in multiple institutes at Notre Dame, including the Pulte Institute for Global Development (since 2019), the Kellogg Institute for International Studies (since 2017), the Kroc Institute for Peace Studies (since 2015), the Liu Institute for Asia and Asian Studies (since 2014), and the Reilly Center for Science, Technology and Values (since 2012).[3][11]

Lucy Family Institute of Data & Society[edit]

The Lucy Family Institute adventurously collaborates on advancing data-driven convergence research, translational solutions, and education to ethically address social problems. The Institute is the innovative nexus of academia, industry, and the public, fostering data science access to strengthen diverse and inclusive capacity building within communities. Nitesh Chawla serves as the Founding Director of the Lucy Family Institute for Data & Society.

Elected Fellow[edit]

Entrepreneurship[edit]

In 2012, he co-founded Aunalytics Inc., a company specializing in data science software and solutions.[4] Additionally, in 2020, he co-founded Intrepid Phoenix, an organization that utilizes artificial intelligence to offer personalized recovery paths for individuals dealing with substance use.[16]

Research and publications[edit]

Chawla's research has garnered a citation count of over 62,000 and an H-index of 80 .[9] His primary areas of focus include artificial intelligence, machine learning, data and network sciences.[3] He has received several awards and honors for his research and scholarship, including best paper nominations and awards.[17][18] His students have also received several awards and honors such as the KDD Outstanding Dissertation Runner Up Award, KDD Rising Star Award, IJCAI Early Career spotlight, NSF CAREER Award, etc.

Honors and Distinctions[edit]

Selected works[edit]

  • Chawla, Nitesh V., et al. "SMOTE: synthetic minority over-sampling technique." Journal of artificial intelligence research 16 (2002): 321–357. https://doi.org/10.1613/jair.953
  • Fernández, Alberto, et al. "SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary." Journal of artificial intelligence research 61 (2018): 863–905. https://doi.org/10.1613/jair.1.11192
  • Chawla, Nitesh V., Nathalie Japkowicz, and Aleksander Kotcz. "Special issue on learning from imbalanced data sets." ACM SIGKDD explorations newsletter 6.1 (2004): 1–6. https://dl.acm.org/doi/10.1145/1007730.1007733
  • Chawla, Nitesh V., et al. "SMOTEBoost: Improving prediction of the minority class in boosting." Knowledge Discovery in Databases: PKDD 2003: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22–26, 2003. Proceedings 7. Springer Berlin Heidelberg, 2003. https://doi.org/10.1007/978-3-540-39804-2_12
  • Chawla, Nitesh V. "Data mining for imbalanced datasets: An overview." Data mining and knowledge discovery handbook (2010): 875–886. DOI: 10.1007/978-0-387-09823-4_45
  • Lichtenwalter, Ryan N., Jake T. Lussier, and Nitesh V. Chawla. "New perspectives and methods in link prediction." Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining. 2010. https://doi.org/10.1145/1835804.1835837
  • Dong, Y., Chawla, N. V., & Swami, A. (2017, August). metapath2vec: Scalable representation learning for heterogeneous networks. In Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 135-144).
  • Zhang, C., Song, D., Huang, C., Swami, A., & Chawla, N. V. (2019, July). Heterogeneous graph neural network. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining (pp. 793-803).
  • Chawla, N. V., & Davis, D. A. (2013). Bringing big data to personalized healthcare: a patient-centered framework. Journal of general internal medicine, 28, 660-665.
  • Zhang, C., Song, D., Chen, Y., Feng, X., Lumezanu, C., Cheng, W., ... & Chawla, N. V. (2019, July). A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data. In Proceedings of the AAAI conference on artificial intelligence (Vol. 33, No. 01, pp. 1409-1416).
  • Yang, Yang, Nitesh V. Chawla, and Brian Uzzi. "A network’s gender composition and communication pattern predict women’s leadership success." Proceedings of the National Academy of Sciences 116.6 (2019): 2033–2038. https://doi.org/10.1073/pnas.1721438116[24]

References[edit]

  1. ^ a b Dame, Marketing Communications: Web | University of Notre. "Nitesh Chawla". Lucy Family Institute for Data and Society. Retrieved 2023-05-31.
  2. ^ a b "Making the Rounds: Data expert and engineer Nitesh Chawla, PhD, shares his perspective on using data for common good on Apple Podcasts". Apple Podcasts. Retrieved 2023-05-31.
  3. ^ a b c d "Nitesh Chawla appointed Director of Notre Dame's Lucy Family Institute for Data & Society". theCustomer. 2020-06-24. Retrieved 2023-05-31.
  4. ^ a b "Bootstrapping an Artificial Intelligence Startup with Services: Nitesh Chawla, Founder, Aunalytics (Part 2)". Sramana Mitra. 2021-11-30. Retrieved 2023-05-31.
  5. ^ "Nitesh Chawla". awards.acm.org. Retrieved 2023-05-31.
  6. ^ a b c "CSE Alumni Nitesh Chawla named IEEE Fellow | Computer Science and Engineering | University of South Florida". www.usf.edu. Retrieved 2023-05-31.
  7. ^ a b c d e "Thought Leaders Seminar, Business Analytics: Nitesh Chawla | Current Students | The University of Iowa". students.tippie.uiowa.edu. Retrieved 2023-05-31.
  8. ^ "SMOTE: synthetic minority over-sampling technique". scholar.google.com. Retrieved 2023-05-31.
  9. ^ a b "Nitesh V Chawla". scholar.google.com. Retrieved 2023-05-31.
  10. ^ a b "Nitesh Chawla Biography". IEEE. Retrieved 2023-05-31.
  11. ^ a b "Machine Learning and Design Thinking for Personalized Healthcare". PARC. Retrieved 2023-05-31.
  12. ^ "Notre Dame announces the Center for Network and Data Science // News // Integrated Biomedical Sciences // University of Notre Dame". ibms.nd.edu. Retrieved 2023-05-31.
  13. ^ "USF CSE Alumnus Nitesh Chawla, PhD was named a Fellow of the ACM". www.usf.edu. Retrieved 2023-05-31.
  14. ^ "Thought Leaders Seminar, Business Analytics: Nitesh Chawla". events.uiowa.edu. Retrieved 2023-05-31.
  15. ^ "Asia-Pacific Artificial Intelligence Association". www.aaia-ai.org. Retrieved 2023-05-31.
  16. ^ Dame, Marketing Communications: Web // University of Notre (2023-04-24). "Bowen Center Licenses Notre Dame Startup Intrepid Phoenix Ventures' AI-Powered Solution to Help Those Battling Addiction Stay on Road to Recovery // IDEA Center // University of Notre Dame". IDEA Center. Retrieved 2023-05-31.
  17. ^ "Past Recipients - IEEE Computational Intelligence Society". cis.ieee.org. Retrieved 2023-05-31.
  18. ^ The World Wide Web Conference. New York, NY, USA: ACM. 2019-05-13. doi:10.1145/3308558. ISBN 978-1-4503-6674-8.
  19. ^ "USF CSE Alumnus Nitesh Chawla, PhD was named a Fellow of the ACM". www.usf.edu. Retrieved 2023-05-31.
  20. ^ "Thought Leaders Seminar, Business Analytics: Nitesh Chawla". events.uiowa.edu. Retrieved 2023-05-31.
  21. ^ "Asia-Pacific Artificial Intelligence Association". www.aaia-ai.org. Retrieved 2023-05-31.
  22. ^ "Chawla wins ND faculty community research award". South Bend Tribune. Retrieved 2023-05-31.
  23. ^ "Forty under 40 honorees". South Bend Tribune. Retrieved 2023-05-31.
  24. ^ Schmidt, Samantha (2019-01-24). "Networking like a man isn't enough. Successful women rely on other women to reach leadership roles, study finds". Washington Post. ISSN 0190-8286. Retrieved 2023-05-31.
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