Dr. Ali Peker is one of the co-founders and the CEO of ADASTEC Corp. He has vast experience working as a Chief Executive Officer in the information technology and telecommunications industry. Dr. Ali has in-depth knowledge of Location-based Services, mobile applications, IoT, and autonomous vehicles. He completed his Ph.D. thesis titled “Digital Map and GNSS Fusion to Enhance Localization for Intelligent Vehicle Applications.” His research interests primarily focus on artificial intelligence and autonomous vehicles.
Expertise: Automated driving software for full-size buses and commercial vehicles (SAE Level 4), GNSS/INS and digital-map fusion for high-integrity vehicle localization, sensor fusion and perception, V2X communications (DSRC, C-V2X) and cooperative positiong, automated-vehicle software development process and safety management
Let’s Connect
Phone
(415) 619-0851
Location
UMTRI
2901 Baxter Rd. Rm 158
Ann Arbor, MI 48109
Primary Website
umtri.umich.edu
Additional Information
Education
- PhD, Computer Engineering, Boğaziçi University, Istanbul, 2017 — dissertation: “Digital Map and GNSS Fusion to Enhance Localization for Intelligent Vehicle Applications”
- MSc, Computer Engineering, Boğaziçi University, Istanbul, 1993 — thesis: “Vision Analysis of Motion on Transputer Network”
- BSc, Computer Engineering, Boğaziçi University, Istanbul, 1991 — thesis: “Design and Implementation of an M68000 Experimental Computer”
Awards and Service
- Innovation Award in M2M, Oracle OpenWorld, 2013
- Spatial Innovation Award, Spatial Summit, Washington DC, 2014
- Innovation Award in Cloud, Oracle OpenWorld, 2016
- Best Mobile Application, Oracle Magazine Worldwide (EkipMobil asset-tracking service)
- Keynote speaker, IEEE International Conference on Mobility, Operations, Services and Technologies (MOST), Dallas, 2024
- Associate Editor, IEEE Intelligent Vehicles Symposium — 2014, 2017, 2019, 2021, 2024, 2025
- Member, Global ISV Advisory Board, Oracle Inc. 2014-2016
- Principal investigator/collaborator on the TECHLAB project with the University of Michigan on adverse-weather perception and traffic-light recognition for automated buses, 2023