“One child, one teacher, one book, one pen can change the world”. - Malala Yousafzai


Jitin Krishnan

PhD Student | Research Assistant | Graduate Lecturer
Department of Computer Science
George Mason University

B.S. in Computer Science
Minor in Economics
University of Virginia '12

Email: jkrishn2 (at) gmu (dot) edu
Office: ENGR 4421

Advisor(s): Huzefa Rangwala, Hemanth Purohit


Presenting at AAAI-MAKE.
Stanford University, Palo Alto, California. 
March 25-27, 2019. 

Attending KBCOM Workshop with Trevor ReedLos Angeles, California.
Feb. 5-9, 2018.

Receiving award from Dr. John Mather.
NASA GSFC, Greenbelt, Maryland.
July 28, 2017.


















Research Interests

Natural Language Processing | Deep Learning | Knowledge Graph Construction | Space Exploration Systems Research

Current Projects

  • George Mason University
    • Modeling precursors for events during natural disasters using twitter data (with H. Purohit and H. Rangwala)
  • NASA Goddard Space Flight Center
    • Targetted Open IE System to build a Common-Sense KB for SEVA (with P. Coronado)
    • Jitin Krishnan, Patrick Coronado, and Trevor Reed. “SEVA: A Systems Engineer’s Virtual Assistant”. In Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE). Stanford University, Palo Alto, California, USA.
  • Facebook, Inc.
    • Building Robust Image CNN Classifiers using Neural Style Transfer
Teaching (I am not teaching this semester but feel free to take a look at my syllabi below)
  • Graduate Lecturer at Computer Science Department, GMU
    • CS112 Introduction to Programming in Python (Fall 2018) - syllabus
    • CS310 Data Structures in Java (Fall 2017, Spring 2018) - syllabus
  • Computer Science Faculty at Governor School - STEM initiative between Prince William County Public Schools and GMU
    (Holds Provisional Educator License in Virginia, endorsed in Computer Science)
    • CS112 Introduction to Programming in Java (Fall 2016, 2017) - syllabus
    • CS211 Object Oriented Programming in Java (Spring 2017, 2018) - syllabus
  •  (Past) As a Graduate TA: CS465 Computer Systems Architecture, CS310 Data Structures
  •   Facebook, Inc. (Seattle, WA) Summer 2019 (Deep Learning | Computer Vision) -  Neural Style Transfer and Robust CNN Models.
  •  NASA GSFC (Greenbelt, MD) Summer 2015-2018 (AI Research | NLP) -  Virtual Assistant for Systems Engineers.


Relevant Coursework

  • Algorithms related: CS583 Analysis of Algorithms, CS630 Advanced Algorithms, CS684 Graph Algorithms,
    CS695 Network Science, Principles, and Applications, CS896 Scheduling Algorithms and Game Theory
  • AI related: CS580 Intro to Artificial Intelligence, CS681 Designing Expert Systems, CS782 Machine Learning,
    INFS772 Intelligent Agents/Semantic Web
  • Coursera: Deep Learning Specialization and Machine Learning

High School CS Mentees (at Governor School 2016-2018)

Marina Kun
Patriot High School '17
University of Virginia '21
Ayesha Gagguturi
Osbourn Park High School '17
Cornell University '21
Donte Townes
Osbourn Park High School '18
Stanford University '22
Meredith Seaberg
Osbourn High School '19
Virginia Commonwealth University '23

Personal | Useless Bits

Motorcycling around the Olympic
Peninsula in 

(Page last updated: September 2019)