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 | Human-AI Collaboration | Applied Machine Learning
Applications: #Disaster_Resilience | #Smart_Cities | #Cyber_Security

Check news on the 2019 AAAI Fall Symposium on AI for Social Good at: link
Submit to Web of People track at IEEE/WIC/ACM Web Intelligence 2019: details



Research


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 individual or group 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:

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Honors


Professional & Volunteering Services


Teaching


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 challenging real world data analytics problems for social good? If interested in Ph.D. and MS/BS-thesis, you can connect via email at h p u r o h i t _a_t_ g m u _d_o_t_ e d u .


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