Dokyun Lee’s work “Micro-giving: On the use of mobile devices and monetary subsidies in charitable giving” was awarded the best track and best conference paper awards at the prestigious International Conference on Information Systems. This work is coauthored with Dongwon Lee (faculty at HKUST) and Anand Gopal (faculty at University of Maryland). Prof Anand Gopal received his PhD in Information Systems from the Tepper School of Business.
Professor Param Vir Singh was invited to give a deep learning tutorial at Informs/CIST 2017 at Houston.
You can access the slides in powerpoint here: Deep Learning Tutorial Slides PPT and in pdf here: Deep Learning Tutorial Slides PDF
(Note: There is a lot of animation in the slides. Hence, best viewed in slide show in PPT. In PDF it may appear muddled.)
Nikhil Malik, a BT PhD student won the best student paper award at Informs/Conference of Information Systems and Technology (CIST) 2017 for his research on “When does beauty pay?”. CIST is one of the top Information Systems conferences. Nikhil is in 2nd year of his PhD studies at Tepper School, Carnegie Mellon University. This is the second year in a row that a BT PhD student has won the best student paper award at CIST.
Shunyuan Zhang, Param Vir Singh and Anindya Ghose’s paper “A Structural Analysis of the Role of Superstars in Crowdsourcing Contests” was accepted for publication at Information Systems Research.
This work is built upon Shunyuan Zhang’s first year paper. Information Systems Research is one the highly selective top journals for the Information Systems community.
Past research has shown that when individuals compete with superstars in tournaments their performance goes down as their chance of winning is too low and that in crowdsourcing contests as a result participants tend to avoid projects where they may have to compete with superstars. In contrast, this paper finds that though competing with superstars in a crowdsourcing contest reduces the chances of winning the contest, the participants also get n opportunity to learn by observing the best in action. As a result, participant’s chance of winning subsequent contests increases significantly after participating in a contest involving a superstar.
Nikhil Malik’s work “When does beauty pay? A large scale image based appearance analysis on career transitions.” was accepted at Conference of Information Systems and Technology to be held in Houston in October 2017. Nikhil is a 2nd year PhD student.
Kannan Srinivasan, Param Vir Singh and Dokyun Lee are Mr. Malik’s coauthors on this work.
Published: Sep 9, 2017
Shunyuan Zhang’s work on understanding the effects of sharing economy platforms such as Uber/Lyft on demand structure at another sharing economy platform Airbnb is accepted for presentation at the Conference of Information Systems and Technology (CIST). The CIST conference will be hosted in Houston in October 2017.
Tridas Mukhopadhyay, Param Vir Singh and Dokyun Lee are Ms. Zhang’s coauthors on this work.
Published: Sep 9, 2017
Prof Dokyun Lee received the prestigious Xerox Junior Faculty Chair away for 2017-2018. The junior faculty chairs at Tepper School of Business are awarded to attract and retain outstanding junior faculty members who enrich our academic programs, contribute to groundbreaking research, and show early promise in serving as mentors to our students.
Learn more about Prof Lee’s research at: http://leedokyun.com/index.html
Professor Param Vir Singh was honored with Carnegie Bosch Institute Academic Chair for his excellent contributions in interdisciplinary research.
CMU students have organized a summit in innovation and entrepreneurship that’s being held on April 15th and 16th.
There will be many events including panels on:
- Virtual Reality/Augmented Reality
- Mobile Health
- Human Computer Interaction
- Start-ups & Early-stage Development
- Artificial Intelligence
Details and registrations are here.
Dokyun Lee will be moderating the AI panel. For more details on AI panel, please visit here.
Dokyun Lee, Param Vir Singh and Shunyuan Zhang received the Adobe Data Science Research grant for their work on investigating the economic impact of images in e-commerce via deep learning. Learn more about Adobe’s research grant program here: http://www.adobe.com/careers/university/marketing-research.html
Last modified: March 11, 2017