Rahul Pandey

Rahul Pandey

Ph.D. I.T. (2018-Present)
George Mason University

Human-AI Collaboration | User Behavior Modeling | Human-Centered Computing | Natural Language Understanding | Applied Machine Learning

Contact me!

user_name = "rpandey4"
institute = "gmu"

Hello! I am Rahul Pandey, [CV].

I am a third-year Ph.D. student in Information Technology with a concentration in Information Sciences and Technology. I have completed my bachelor’s in Computer Science from The LNMIIT (Jaipur, India) in 2017.

My research focuses on human-centered computing, therefore, particularly on studying how and where to use human inputs in the various components of AI system design. It lies at the intersection of Applied Machine Learning and Natural Language Understanding to solve human-centered computing problems across humanitarian and crisis informatics domains.

Currently, I am a Graduate Research Assistant at Humanitarian, Semantics & Informatics Lab, Volgenau School of Engineering at George Mason University. My advisor is Dr. Hemant Purohit.

Recent News

[Aug 2020] Will serve as a Graduate Teaching Assistant for AIT 664: Information: Representation, Processing and Visualization course for the academic year 2020-21.

[Jun 2020] Spending my summers remotely at Comcast Applied AI Lab [Corti team] working on applying AI in media tech.

[Nov 2019] Attended the AAAI 2019 Fall Symposium in AI for Social Good. Lots of discussion on Responsible AI and the need of interpretability in AI systems.

[Oct 2019] All the workshops and special session program of IEEE/WIC/ACM Web Intelligence 2019 concluded on October 14th, 2019. Here is the link for the proceedings of all the 12 workshops/special sessions.

[Oct 2019] My internship work at Philips Research North America [Acute Care Solutions team] got accepted at 2019 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2019) as a workshop paper. We propose a novel performance boosting module for Biomedical Entity Recognition called BoostER.

[Oct 2019] Attended the BDEM Annual Workshop 2019 held in Sogndal, Norway. I had presented our ongoing research on analyzing Web Stream data with focus on ASONAM 2019 modeling error paper and Web Intelligence 2018 ranking paper.

[Sep 2019] Our paper got accepted in AAAI 2019 Fall Symposium Series in AI for Social Good.

[Aug 2019] Attended ASONAM 2019 conference at Canada. This was my first time attending conference outside of USA. I had learnt very much and enjoyed the beautiful places of Vancouver, CA.

[June 2019] One short paper got accepted in ASONAM 2019 conference (Acceptance Rate: 14% <short-paper: 6%>).

[May 2019] Spending my summers at Philips Research North America [Acute Care Solutions team] working on applying AI in Healthtech domain.

[April 2019] One workshop paper got accepted at SmartSys Workshop co-located with SMARTCOMP 2019 conference.

[January 2019] Serving as a Workshop Co-Chair at Web Intelligence 2019 conference.

[January 2019] One full paper got accepted under Tools track at ISCRAM 2019 conference.

[December 2018] Received Best Paper Award for paper “Distributional Semantics Approach to Detect Intent in Twitter Conversations on Sexual Assaults” at Web Intelligence 2018 conference.

[October 2018] Presented our paper at 2018 AAAI FALL SYMPOSIUM SERIES. Thrilled about the ongoing work on bias detection and mitigation at government agencies and also at IBM Research.

[August 2018] Two full paper got accepted in Web Intelligence 2018 conference.

[August 2018] One full paper got accepted in 2018 AAAI FALL SYMPOSIUM SERIES under Artificial Intelligence in Government and Public Sector track.

[July 2018] Attended my first conference SBP-BRiMS 2018. Lots of learning and interacted with great people in the community.

[July 2018] One demo paper co-authored with Prof Purohit got accepted in ASONAM 2018 conference.

[June 2018] One full paper got accepted in ASONAM 2018 conference (Acceptance Rate: 15%).

[May 2018] Continuing my Research Assistantship at HSIL Lab this summer!

[April 2018] Co-authored a book chapter to appear in Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining [Link]

[April 2018] Extended Abstract got accepted in IC2S2 2018.

[January 2018] Started my Ph.D. in Information Technology at George Mason University.

[June 2017] Started my first job as a Software Engineer: Data Science at Culture Machine Media (Pune, India). I will be working with both Intelligent Machine team to apply machine learning for improving brand recognition.

[December 2016] Started my semester-long research internship at STARS Lab, INRIA (Sophia Antipolis, France).

[May 2016] Started my internship at a Media-tech startup Culture Machine Media (Pune, India). I will be working with the Video Machine team to automate video generation at scale.

[December 2015] Started working remotely with INMAS Lab, D.R.D.O. (Delhi, India). I am exploring different data visualizations using d3.js.

[May 2015] Started my internship at a computer-vision and robotics-based startup Kritikal Solutions (Noida, India). I will be working on pedestrian detection for ADAS (Automated Driving Assistance Systems).