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Dr. Alvin Chin
Research Scientist, Discovery Partners Institute, University of Illinois System
Chair, IEEE Chicago Section and ACM Chicago
Expert in Data Science, Machine Learning and Applied Research
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Cell:
312-480-8616
Email:
alvin.chin AT ieee.org
alvinc AT uillinois.edu
Important Paper Submission Dates:
Feb 16, 2024 - Submission deadline for papers for IEEE EIT 2024 Conference
Alvin Chin is Research Scientist at Discovery Partners Institute, University of Illinois System researching in mobile social networks, IoT, AI and data science. He was previously Principal Data Scientist at RXO Inc., where he led a team of junior data scientists for deploying data science models for pricing customer rates for loads to production. Previously, he was an Innovation Research Engineer at BMW Manufacturing in Greenville, SC, USA and AI and Emerging Technology Researcher, IT Innovation and Research Silicon Valley in BMW Technology Corporation in Mountain View, CA, USA, where he worked on applying research in AI and emerging technologies like democratizing AI, neuromorphic computing, quantum computing and causal machine learning to business problems within BMW. Prior to that he was Senior Researcher, Machine Learning in BMW Technology Corporation, Chicago at BMW North America, BMW Group where he worked on big data and machine learning for improving driving behaviour and enabling intelligent driving. His previous research involved studying user behavior in driving and in social networks, conducting data analytics of machine learning algorithms in BMW Connected, mining big data from the car data, and creating recommendations of items based on user profiling and context such as predicted destinations and trips, to provide intelligent user and car experiences.
Previous to BMW, he was Senior Researcher at Microsoft (previously at Nokia) in Beijing working in the Xpress Internet Services team of the Mobile Phones Services department, Microsoft Mobile Oy. Prior to that, he was previously in the Mobile Social Experiences group at Nokia Research Center, Beijing. At Nokia Research Center, he explored how the mobile phone could be used for creating physical proximity social networks to capture and infer context for social activity and collaboration in real physical environments, designing rich user experiences to interact with others in an indoor environment as well as with other social networking sites such as Facebook or Twitter, and also designing improved people recommendation systems that take into account physical context.
Alvin has a Bachelors degree in Computer Engineering and a Masters degree in Software Engineering from the University of Waterloo and a PhD in Computer Science from the University of Toronto.
Alvin is an active user of social networking and Web 2.0 technologies, and is a member of various program committees such as ACM KDD, SocialCom, ACM Hypertext, IEEE CPSCom, UIC/ATC, Ubicomp, CSCW and IEEE Vehicular Technology Conference. He is an ACM Senior Member and an IEEE Senior Member.
Alvin is also active in the Chicago community, as Chair of the IEEE Chicago Section, Chair of the ACM Chicago chapter, Chair of the IEEE Vehicular Technology Society Chicago chapter, Chair of the IEEE Computer Society Chicago chapter, President of the University of Toronto Alumni Association in Chicago, Board Member of the Chicago Sister Cities Toronto Committee, and Member of the Board of Governors at The Metropolitan Club.
To contact Alvin for any research inquiries, speaking opportunities, or professional service, e-mail him at alvin.chin AT ieee.org. The best way to contact Alvin is via e-mail, WeChat, Facebook, Twitter(X), and LinkedIn.
Currently, I am a Research Scientist at Discovery Partners Institute, University of Illinois System. I am also the Chair of the IEEE Chicago Section, Chair of the IEEE Vehicular Technology Society Chicago Chapter and Secretary of the IEEE Standards Association on Vehicular Technology and Automated and Connected Vehicles. I am also the Chair of IEEE Computer Society Chicago Chapter, and Chair of ACM Chicago. I am an IEEE Senior Member and ACM Senior Member. I was previously an Adjunct Professor in the Department of Computing and Digital Media at DePaul University where I taught courses in data analysis and regression.
I was the Publicity Co-chair for the 92nd IEEE Vehicular Technology-Fall Conference (VTC 2020-Fall). I was the Industry Program Co-chair for the 88th IEEE Vehicular Technology-Fall Conference (VTC 2018-Fall) in Chicago, USA and the 90th IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall) in Honolulu, USA. I was also the Keynote Speaker for the Workshop on Vehicular Information Services for Internet of Things, as well as the Panel Chair for the Industry Panel on Challenges and Opportunities in Autonomous, Connected and Electric Vehicles at IEEE VTC 2018-Fall.
I was the Guest Co-editor for the Special Issue in Connected and Autonomous Driving of IEEE IT Professional and this was published November/December 2018.
Newest publications
M. Komorkiewicz, A. Chin, P. Skruch and M. Szelest, "Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development—A Review," in IEEE Access, vol. 11, pp. 32061-32072, 2023, doi: 10.1109/ACCESS.2023.3258623.
Alvin Chin, Jilei Tian and Johann Prenninger. "Toward Contextual and Personalized Interior Experience in a Vehicle: Predictive Preconditioning", In Proc 92nd IEEE Vehicular Technology Conference 2020-Fall (VTC 2020-Fall), virtual, Nov. 2020.
Alvin Chin, Peter Wolf and Jilei Tian. "A Cloud IoT Edge Framework for Efficient Data-Driven Automotive Diagnostics", In Proc 90th IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), 22-25 Sept. 2019, Hawaii, USA.
Peter Wolf, Alvin Chin and Bernard Baker. Unsupervised Data-driven Automotive Diagnostics with Improved Deep Temporal Clustering, In Proc90th IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), 22-25 Sept. 2019, Hawaii, USA.
Olav Laudy, Johann P. Prenninger, Alvin Chin and Jilei Tian. "Toward Building an Indvidual Preference Model for Personalizing Settings in the Vehicle". In Proceedings of 88th IEEE Vehicular Technology Conference Fall-2018.
Jilei Tian, Alvin Chin and Michael Karg. "Digital Services in the Automotive Industry". IEEE IT Professional, Vol. 18, No. 5, 4-6, Sept-Oct 2016. (pdf)
Mobile Social Networking: An Innovative Approach by Alvin Chin and Daqing Zhang (editors)
Available from Springer http://www.springer.com/physics/complexity/book/978-1-4614-8578-0 and Amazon http://bit.ly/msnbook
Bio:
TESTIMONIAL
“Alvin is an excellent researcher, always positive, with plenty of good ideas. His research work on mobile social networks is among the most interesting in the field. Moreover, he is a very nice colleague to work with. He is really a nice person and his passion and energy are contagious.”
Zhen Liu, Former Director, Growth Economies Lab, Nokia Research Center,Beijing, China
See more testimonials of Alvin on LinkedIn
RECENT PUBLICATIONS
Alvin Chin, Jilei Tian and Johann P. Prenninger. "Toward Contextual and Personalized Interior Experience in a Vehicle: Predictive Preconditioning". In Proc 92nd IEEE Vehicular Technology Conference 2020-Fall (VTC 2020-Fall), Nov. 2020, virtual.
Alvin Chin, Peter Wolf and Jilei Tian. "A Cloud IoT Edge Framework for Efficient Data-Driven Automotive Diagnostics". In Proc 90th IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), 22-25 Sept. 2019, Hawaii, USA.
Peter Wolf, Alvin Chin and Bernard Baker. Unsupervised Data-driven Automotive Diagnostics with Improved Deep Temporal Clustering, In Proc 90th IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), 22-25 Sept. 2019, Hawaii, USA.
Olav Laudy, Johann P. Prenninger, Alvin Chin and Jilei Tian. "Toward Building an Indvidual Preference Model for Personalizing Settings in the Vehicle". To appear in Proceedings of 88th IEEE Vehicular Technology Conference Fall-2018.
Jilei Tian, Alvin Chin and Michael Karg. "Digital Services in the Automotive Industry". IEEE IT Professional, Vol. 18, No. 5, 4-6, Sept-Oct 2016.
RECENT SERVICE
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Publicity Co-Chair, IEEE Vehicular Technology Conference 2020-Fall (VTC2020-Fall), virtual, Nov. 2020.
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Treasurer Co-Chair, The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019), Chicago, IL, USA, November 5-8, 2019.
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Industry Sessions Co-Chair, IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), Hawaii, USA, Sept.22-25, 2019.
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Keynote Sessions Chair, Connected and Autonomous Vehicles, The 90th International IEEE Conference on Vehicular Technology (VTC2019-Fall), Hawaii, USA, September 25, 2019.
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Program Committee Member, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019.
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Member of Editorial Board, IEEE Open Journal of Vehicular Technology (new journal in Fall 2019), August 2019 – 2022.