Majeed Kazemitabaar will be a visiting student researcher this semester at UC Berkeley's Institute of Design (BiD Lab) to work with Prof. Bjoern Hartmann. He will be researching on tangible machine learning for children as part of his ongoing work with MakerWear.
I’m happy to announce that our CHI’16 Late Breaking Work entitled ReWear: Early Explorations of a Modular Wearable Construction Kit for Young Children was just honored with a Best Paper Award given to only four of the 647 submissions (0.6%). This was a terrific team effort involving contributions from five students, including two undergraduates and one high school student and led by Majeed Kazimitabaar.
Feb 07, 2020 | Jon
Jan 22, 2020 | Jon
Our ASSETS'19 paper "Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery" was just recognized with the 'Best Student Paper Award'--given to only one of the 158 submissions
Both of our ASSETS'19 papers were nominated for 'Best Paper' at ASSETS'19:
Congratulations to Majeed Kazemitabaar who successfully defended his MS thesis entitled "MakerWear: A Tangible Construction Kit for Young Children to Create Interactive Wearables" on Aug 4, 2017 and just submitted the final thesis today. Woohoo! Majeed now plans to return to Iran and work at a startup. We wish him all the best!
We were just notified that MakerWear received the Best Paper award at CHI2017 (top 1% of all submissions at CHI). The conference received over 2400 submissions and 24 were chosen for Best paper (97 were chosen for Honorable Mention). Congrats to lead student Majeed Kazemitibaar and the whole MakerWear team!
This is the first full research publication from Froehlich's NSF CAREER award.
I'm excited to announce that our group just received an NSF CAREER Award to develop and study new interfaces, techniques, and tools to enable young children (ages 5-10) to program, build, and use their own interactive wearables. I've been working on this project since about the time I arrived at UMD, and I'm so happy that it is now funded. Lab member (and MS student) Majeed Kazemitabaar has been absolutely critical in the past few years to making this project what it is today. Our first paper on this work will be published at CHI2017. Hope to see you there!
See also this UMIACS news release.