Jaideep Srivastava
University of Minnesota · Computer Science and Engineering
Active 1986–2026
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About
Jaideep Srivastava is a professor in the Department of Computer Science & Engineering at the University of Minnesota Twin Cities, where he also serves as the Director of Undergraduate Studies for Data Science. He joined the department in 1988 after completing his Ph.D. in Computer Science at the University of California, Berkeley. His educational background includes a B.S. in Computer Science from the Indian Institute of Technology Kanpur and an M.S. and Ph.D. in Computer Science from UC Berkeley. Srivastava's research interests encompass databases, data mining, and multimedia systems. He has made significant contributions to the fields of data science and machine learning, with a focus on developing predictive models and analyzing large-scale social networks. He is the co-founder and president of Ninja Metrics, Inc., a startup specializing in analytics for social systems and social media. His professional experience includes roles such as Research Director and Chief Scientist at Qatar Computing Research Institute, as well as industry positions including Chief Technology Officer for Persistent Systems, Director of Data Analytics for Yodlee, Inc., and data mining architect for Amazon. Srivastava has been recognized with awards such as the IEEE Fellowship and the PAKDD Distinguished Contributions Award, and he has been involved in numerous research projects related to health, social influence, and large-scale social network analysis.
Research topics
- Political Science
- Computer Science
- Computer Security
- Business
- Medicine
- Psychiatry
- Engineering
- Human–computer interaction
- Internet privacy
- Physical therapy
Selected publications
Journal of Advertising · 2020 · 101 citations
Senior authorCorrespondingOver the past 40 years, we have witnessed seismic shifts in advertising planning and buying processes. Due in no small part to the emergence of digital media, consumer choices have mushroomed, while advertisers understand much more about target audiences. Advertising activities have been drastically transformed by the possibilities that technology creates for targeting and measurement, automation of activities via programmatic advertising, and an overall computational approach in which algorithm…
Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs
Proceedings of the International AAAI Conference on Web and Social Media · 2021 · 22 citations
Gold farming and real money trade refer to a set of illicit practices in massively multiplayer online games (MMOGs) whereby players accumulate virtual resources to sell for “real world” money. Prior work has examined trade relationships formed by gold farmers but not the trust relationships which exist between members of these organizations. We adopt a hypergraph approach to model the multi-modal relationships of gold farmers granting other players permission to use and modify objects they own.…
Cluster analysis of upper airway stimulation adherence patterns and implications on clinical care
SLEEP · 2022 · 15 citations
STUDY OBJECTIVES: Upper airway stimulation (UAS) therapy is effective for a subset of obstructive sleep apnea (OSA) patients with continuous positive airway pressure (CPAP) intolerance. While overall adherence is high, some patients have suboptimal adherence, which limits efficacy. Our goal was to identify therapy usage patterns during the first 3 months of therapy to enable targeted strategies for improved adherence. METHODS: Therapy data was retrieved from 2098 patients for three months after…
Public Relations Review · 2024-07-25 · 10 citations
articleOpen accessSenior authorFor corporations engaged in corporate social advocacy (CSA), establishing legitimacy among publics is challenging when they take stands along clear ideological lines on controversial issues. This study examined two questions: (1) how would the congruence between individuals’ political ideologies and corporations’ CSA stances influence perceived CSA legitimacy; and (2) how would individuals’ political ideology strength moderate this relationship? A computational analysis was conducted to examine…
Computational and Structural Biotechnology Journal · 2025-01-01 · 5 citations
reviewOpen accessBackground: Obstructive sleep apnea (OSA) is a prevalent and potentially severe sleep disorder characterized by repeated interruptions in breathing during sleep. Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, and developing biomarkers for endotypes and disease mechanisms. Objective: This narrative review evaluates the application of machine learning in OSA research, focusing on model performance, dataset cha…
Recent grants
Frequent coauthors
- 672 shared
Ee‐Peng Lim
Singapore Management University
- 651 shared
P. Krishna Reddy
Martin College
- 650 shared
Hiroshi Motoda
Osaka University
- 650 shared
Kyu-Young Whang
Thammasat University
- 649 shared
Graham Williams
Australian National University
- 649 shared
Jian Pei
Duke University
- 648 shared
Huan Liu
- 648 shared
Enhong Chen
University of Science and Technology of China
Labs
Jaideep SrivastavaPI
Education
- 1988
PhD, Electrical Engineering and Computer Science
University of California Berkeley
- 1983
B Tech, Computer Science
Indian Institute of Technology Kanpur
Awards & honors
- 2013: PAKDD Distinguished Contributions Award
- 2004: IEEE Fellow
- 2002: IBM Faculty Award
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