My name is Mona Jalal. I am a first-semester 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.
Feel free to contact me via email@example.com if you have any feedback about my website or want to talk
about my projects. 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.
Our workshop on "Crowdsourcing as a Content Analysis Tool" will happen as a preconference to ICA on May 24th, 2018.
I will not be able to attend the workshop but I am one of the workshop organizers along with Professor Lei Guo, Kate K. Mays,
and Professor Margrit Betke. I am also a workshop designer for this workshop.
I got full scholarship to attend RSS through Inclusion@RSS June 25th-June30th, Pittsburg, PA.
I got travel grant from WiNLP to present my paper as a poster on June 1st, 2018 in New Orlean, LA.
Our 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.
I got travel grant to attend Fairness, Accountability, and Transparency (FAT*) conference Feb23rd-Feb24th, 2018 in New York University School of Law, NY.
I presented my work on emotion recognition using machine learning and deep learning methods at BU Artificial Intelligence Research (AIR)
retreat, Winter 2018, Vermont.