“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

Connect with Alvin on:

Availability:

Currently employed

 

Website:

www.alvinychin.com



Cell:

312-391-8828

 

Email: 

alvin.chin AT  bmwna.com

 

Important Paper Submission Dates:

 

 

June 17, 2019 - Submission deadline for papers for Rec ent Results of IEEE VTC 2019-Fall.  

May 20, 2019 - Submission deadline for papers for IEEE Connected and Autonomous Vehicles Symposium 2019 (IEEE CAVS 2019), co-located with IEEE VTC2019-Fall

 

 

 

 

 

 

 

  • c-facebook
  • c-tbird
  • c-googleplus
  • c-linkedin
  • Pinterest-Square
  • c-flickr

Senior Researcher

Machine Learning Team

BMW Technology Corporation 

BMW of North America

BMW Group

540 W Madison St, Suite 2400

Chicago, IL, 60661, USA

Follow Alvin's research on: 

Alvin Chin is Senior Researcher, Machine Learning in the BMW Technology Group, Chicago at BMW North America, BMW Group working on big data and machine learning for improving driving behaviour and enabling intelligent driving. His current research involves 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 Bachelors and Masters degrees in Computer 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, and CSCW.  He is a member of ACM and Senior Member of IEEE.

Alvin is also active in the Chicago community, as Vice-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 Sister Cities Committee, Board Member of the American Chinese Association of Scientists and Engineers, and Internations Consul for the Internations Chicago Weekend Lunch group.



To contact Alvin for any research inquiries, speaking opportunities, or professional service, e-mail him at alvin.chin AT bmwna.com. The best way to contact Alvin is via e-mail, WeChat, Facebook, Twitter, and LinkedIn.

We are currently not hiring for a Machine Learning Researcher in our Machine Learning team.  But if you're interested in a possible internship, please send me your CV.

I'm the Industry Sessions Co-chair for the 90th IEEE Vehicular Technology-Fall Conference (VTC 2019-Fall) in Honolulu, Hawaii held from September 22-25, 2019.  I was the Industry Program Co-chair for the 88th IEEE Vehicular Technology-Fall Conference (VTC 2018-Fall) in Chicago, USA held from August 27-30, 2018.  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 has been published November/December 2018.

 

Newest publications

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

RECENT PUBLICATIONS

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.

See more of Alvin's publications

  • 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.

  • Industry Sessions Co-Chair, IEEE Vehicular Technology Conference 2019-Fall (VTC 2019-Fall), Hawaii, USA, Sept.22-25, 2019.

  • Keynote Sessions Chair, Connected and Autonomous Vehicles, The 90th International IEEE Conference on Vehicular Technology (VTC2019-Fall), Hawaii, USA, September 25, 2019.

  • Program Committee Member, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019.

  • Member of Editorial Board, IEEE Open Journal of Vehicular Technology (new journal in Fall 2019), August 2019 – present.

See more of Alvin's services

RECENT SERVICE

© 2019 by Alvin Chin. Last updated September 3, 2019. All rights reserved.

This site was designed with the
.com
website builder. Create your website today.
Start Now