My name is Mona Jalal. I am a second year Computer Science Ph.D. student in Computer Vision at Boston University advised by Professor Margrit Betke. Prior to joining BU, I was a limited-time R&D Engineer 1 at University of California, Berkeley Center for Augmented Cognition working on an open-source framework for gesture recognition named OpenARK. I graduated from University of Wisconsin-Madison with double major Master's in computer sciences (May 2016) and electrical engineering (August 2014). I have done projects in computer vision, data analysis, database management systems, big data systems and frameworks, Internet of Things, computer architecture, and dependable and fault-tolerant embedded systems. In my free time I like to learn about new software and hardware technologies and frameworks, swim, dance, cook and take 20k+ step walks. You can find my CV by clicking here. Please contact me for research internship opportunities, research collaborations, or anything in general via I might be slow in getting back to you or forget to answer. Please send me a reminder if I didn't get back to you within a week. I am currently looking to be hired as a full-time Ph.D. research intern in USA working towards a leading conference. If you have a position available please contact me. I'm very driven, motivated, hardworking, and very good in both ideation and comphrehensive related work. If you are a fellow researcher that has common interests as me and would like to collaborate in the future, please send me an E-mail as well and let me know what you would potentially like to work with me on together.
  • 11/03/2018 Received BUD Brilliant Award and presented our work "Student Outcome Prediction on an Intelligent Tutoring System" as a poster in BU Data Science Day, February 6, 2019.
  • 11/03/2018 I gave a talk as an "invited speaker" on "Creating Synthetic Data for Deep Learning Applications" at Machine Intelligence Conference at MIT Media Lab.
  • 10/12/2018 Presented a poster on "Large-scale Synthetic Domain Randomized 6DoF Object Pose Estimation Dataset for Deep Learning Applications" at BU OpenAIR Day.
  • 06/01/2018-06/04/2018 I was a student coach for the basic track of Data+Narrative intensive course at the BU College of Communication supervised by Professor Maggie Mulvihill.
  • 05/24/2018 Our workshop on Crowdsourcing as a Content Analysis Tool will happen as a pre-conference to ICA on May 24th, 2018. I am the workshop designer and organizer along with Professor Lei Guo, Kate K. Mays, and Professor Margrit Betke who are the other workshop organizers.
  • 05/01/2018 I got full scholarship to attend RSS through Inclusion@RSS June 25th-June30th, Pittsburg, PA. Unfortunately, due to my internship Export Control License not getting clear in time, I lost the chance to attend this amazing conference. I want to sincerely thank the conference organizers for providing me with this great opportunity.
  • 04/27/2018 I got travel grant from WiNLP to present my paper as a poster at NAACL18 on June 1st, 2018 in New Orlean, LA.
  • 04/15/2018 Our workshop paper 'Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets' got accepted in WiNLP workshop of NAACL-HLT 2018.
  • 04/03/2018 I was selected by RSIP-Vision magazine for an interview for their April version. Read my interview here
  • 03/20/2018 I got the full-time offer to work as a research intern for David Luebke with Dr. Josef Spjut, Dr. Morgan McGuire and Ben Boudaoud at North Carolina, Durham office.
  • 03/15/2018 I was recognized as Quora Top Writer in 2018.
  • 02/02/2018 I got travel grant to attend Fairness, Accountability, and Transparency (FAT*) conference Feb23rd-Feb24th, 2018 in New York University School of Law, NY.
  • 01/29/2018 I was selected as the only recipient of Full Gold Scholarship to attend ODSC East 2018.
  • 01/11/2018 I presented my work on emotion recognition using machine learning and deep learning methods at BU Artificial Intelligence Research (AIR) retreat, Winter 2018, Vermont.