Hemant Purohit
Hemant Purohit, Ph.D. Assistant Professor, Information Sciences & Technology Department, George Mason University
Lead, Humanitarian, Semantics & Informatics Lab (Human_Info_Lab)

Research: Social & Web Mining | Semantic Computing & NLU | Human-AI Collaboration | Applied Machine Learning
Applications: #Disaster_Resilience | #Smart_Cities | #Cyber_Security

I am on provost leave for Spring-2020, visiting Facebook Research and the AI Institute at Univ. of South Carolina!
Check news on the 2019 AAAI Fall Symposium on AI for Social Good at: link
Submit to IEEE/WIC/ACM Web Intelligence 2020: details


Research Interest: investigate human behavior in online data streams via interdisciplinary research in Information and Psychological Sciences that informs the design of intelligent/AI systems to augment human capabilities at workplaces, especially realtime information and knowledge management. I create human-centered computing methods using human-AI collaboration to observe, model, and analyze individual/group behavior (e.g., intentional) in online social environments at scale, with new semantic computing, NLP, and ML techniques guided by socio-psychological theories. This research is employed in the design of information systems for social good and future smart city services for a variety of domains, including natural crises (e.g. hurricanes), societal crises (e.g. hate, gender violence), and human crises (e.g. terrorism, cyber attacks).

Technical Interest: Fuse top-down and bottom-up data mining approaches to develop explainable computational models with domain knowledge and cognitive/social theories, which helps in both predicting and explaining implicit behavior in unstructured social, web, and IoT streams at scale.

Relevant projects: check Humanitarian, Semantics & Informatics Lab (Human_Info_Lab) research group page.

Acknowledgement. We are grateful to U.S. National Science Foundation (NSF), Office of Navel Research (ONR), and Research Council of Norway for supporting our research. Check grants at the Human_Info_Lab page.

Selected Publications:


Quick Summary

Selected Talks


Professional & Volunteering Services


I enjoy teaching the topics related to semantic computing and data analytics with hands-on projects. I teach the following courses at Volgenau:
  • AIT 582. Applications of Metadata for Complex Big Data Problems
  • AIT 664. Information: Representation, Processing and Visualization
  • AIT 734. Advanced Web Analytics Using Semantics

Contact Me

For current students, check our Human_Info_Lab group page.

Prospective students: Do you like the challenge of addressing real world problems of data analytics for social good and welfare by mining human behavior? If interested in pursuing PhD or MS Thesis, then you can mail to h p u r o h i t _a_t_ g m u _d_o_t_ e d u with your resume, and any prior papers.

Prospective collaborators: I also enjoy working with passionate researchers as well as always welcome synergistic projects, so please do connect via email.