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


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

Updates:
Check news on the 2020 AAAI Fall Symposium on AI for Social Good at: link
Submit to 2020 IEEE/WIC/ACM Web Intelligence: details
Continuing collaboration with Facebook Research's Interaction Science & Disaster Maps team after the Spring provost leave!



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 for human-AI collaboration to observe, model, and analyze individual behavior in online social environments at scale, using 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 applications 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.

Grants and Acknowledgement: We are grateful to the following agencies for supporting our research and its integration into education: U.S. National Science Foundation (NSF), Office of Navel Research (ONR), Department of Homeland Security (DHS), as well as Western Norway Research Institute with Research Council of Norway (RCN):

  • INTPART: Transnational Partnership for Excellent Research & Education in Disruptive Technologies for a Resilient Future, Sponsor: RCN, Period: 2020-23
  • CMMI: RAPID: Collaborative Research: Human-AI Teaming for Big Data Analytics to Enhance Response to the COVID-19 Pandemic, Sponsor: NSF, Period: 2020-21
  • Research Team Commerical First Innovation TM a.k.a. Smart Community IoT Innovation (SCITI Labs), Sponsor: Center for Innovative Technology and DHS, Period: 2020
  • IIS: III: Summarizing Heterogeneous Crowdsourced & Web Streams Using Uncertain Concept Graphs, Sponsor: NSF, Period: 2018-21
  • CRII:CHS: Mining Intentions on Social Media to Enhance Situational Awareness of Crisis Response Organizations, Sponsor: NSF, Period: 2017-20
  • EAGER: Social Media Participation as Indicator of Actors, Awareness, Attitudes, and Activities Related to STEM Education, Sponsor: NSF, Period: 2017-20
  • INTPART: Transnational Partnership for Excellent Research & Education in Big Data and Emergency Management, Sponsor: RCN, Period: 2017-20
  • Believable Fake Scientific Document Generation by Exploring Data Semantics, Sponsor: ONR, Period: 2016-20


Selected Publications: (full list: Google Scholar Profile)


About


Quick Summary: (full CV)


Selected Talks


Teaching


I teach on the topics related to semantic computing and data analytics that include hands-on projects using real-world datasets. I have developed and taught the following courses at Mason, serving the programs of MS in Applied Information Technology, MS in Data Analytics Engineering, and Ph.D. in Information Technology:
  • AIT 582. Metadata Analytics for Big Data
  • AIT 664. Information: Representation, Processing and Visualization
  • AIT 734. Advanced Web Analytics Using Semantics

Professional & Volunteering Services


  • - Organizing:
  • - Reviewing:
    • Funding agency: Panel reviewer for U.S. National Science Foundation (NSF)
    • Editorial board: Elsevier Int'l Journal of Information Processing & Management
    • Selected Conferences: AAAI ICWSM (Senior PC), ACM WWW, IEEE/ACM Web Intelligence, IEEE/ACM ASONAM, ISCRAM, SBP-BRiMS
    • Selected Journals: ACM TSC, TWeb, TOIT; IEEE Intelligent Systems, TCSS, TKDE; Springer SNAM, IS-Frontiers, TKDD; Elsevier IPM, IJDRR
  • - Mentoring:
  • Others: Volunteering for Disaster Response and Relief
    • COVID-19 pandemic response with Community Emergency Response Teams (CERTs) in the Washington DC region
    • - Coordination, Mapping and Analysis
      • J&K (India) Floods response via JKFloodRelief.org (now InCrisisRelief.org) . Among key team coordinators of V.O.I.C.E. to facilitate the largest international, citizen-led response drive with scalable impact for relief, involving 25+ orgs. In this unprecedented tech-assisted initiative, I also helped in data coordination for social media mining via our Twitris technology. (Teamwork cited by: Hindustan Times, OneIndia, Zee News, NPR, LightHouse Insights, etc.), Sept 2014
      • Phailin cyclone crisis-map, India . Initiative in collaboration with Google Crisis Response team and digital volunteers globally from different organizations (SBTF, OpenCrisis, Info4Disasters, HumanityRoad, etc.) and universities. (Teamwork cited by: Times Of India, DNA, Business Standard, Gadget Garrio, GeoSpatial World, Global Resilience Systems), Oct 2013
      • Uttarakhand floods crisis-map, India . Crisis-mapping initiative in collaboration with Google Crisis Response team, volunteers from universities around the world and from prestigious organizations (SBTF, Info4, OpenCrisis, HOT, CrisisMappersUK), including a surge support from Humanity Road contributed in this (Teamwork cited by The Hindu articles 1, 2), Jun 2013

    • - Technical volunteering for Disaster Data Mining
      • Oklahoma tornado, US. Extensive analysis of donation requests and offers to help (iRevolutions blog, also in Infographic), May 2013
      • Balochistan earthquake analysis with UN OCHA to identify key influencers on social media for needs such as medical aid, Sept 2013
      • Yolanda (Philippines) Typhoon response via Twitris technologies for assisting crowdsourcing app MicroMappers by my mentor Patrick Meier's former social-innovation team at QCRI and SBTF, for UN OCHA. (iRevolutions blog: results & launch, Wall Street Journal), Nov 2013
      • Others: Hurricane Sandy, US, 2012; East cost snow storm, US, 2013; Khartoum floods, Sudan, 2013; Colorado floods, US, 2013

Honors


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.