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

Two GRA positions are available: details here
Check news on the IEEE ICSC-2019 Semantic Machine Learning Workshop (earlier at IJCAI-2017 and IJCAI-2016)


Research Interest: study human behavior on the Web via an interdisciplinary approach of Computer and Psychological Sciences, for addressing the fundamental problem of information overload on a human mind and augment human capabilities at workplace with human-AI collaboration. Specifically, I model individual behavior (e.g., intent, comprehension, and engagement) in offline and online social environments using semantic computing and applied machine learning, in order to help reduce the information overload in supporting individual and group decision making. This research is employed in the design of systems for social good in future smart communities for a variety of domains, including natural crises (e.g., hurricanes), societal crises (e.g., migration, gender violence), and human crises (e.g., terrorism, cyber attacks).

My technical interest is to fuse top-down and bottom-up data mining approaches for developing explainable models with prior knowledge (domain semantics and cognitive/social theories), which helps in both explaining and predicting individual or group behavior from unstructured social, open Web, and IoT data at scale.

Check more details and relevant projects of Humanitarian, Semantics & Informatics Lab (Human_Info_Lab) research group.

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 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.