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 firstname.lastname@example.org 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.
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.
I gave a talk as an "invited speaker" on "Creating Synthetic Data for Deep Learning Applications" at Machine Intelligence Conference at MIT Media Lab.
Presented a poster on "Large-scale Synthetic Domain Randomized 6DoF Object Pose Estimation Dataset for Deep Learning Applications" at BU OpenAIR Day.
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.
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.
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.
I got travel grant from WiNLP to present my paper as a poster at NAACL18 on June 1st, 2018 in New Orlean, LA.
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.
I was selected by RSIP-Vision magazine for an interview for their April version. Read my interview here
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.