This talk, led by researcher Gürkan Solmaz ’13MS ’15PhD, focuses on developing context awareness for technology that can improve our lives and smart cities. Advancements in the internet of things (IoT), artificial intelligence (AI), machine learning (ML), and sensors have the potential to improve responsiveness to accidents, help manage crowds, develop self-driving vehicles and more in the future. By combining the IoT and ML, situation classification inform context awareness, which is helping enable various new applications and interactions between humans, objects, and computers.
About the Presenter: Gürkan Solmaz is a senior IoT researcher at NEC Laboratories Europe in Heidelberg, Germany. His research interests include mobile computing, AI/ML, crowd mobility in smart cities, autonomous vehicles and drones. He received his BS degree in computer engineering from Middle East Technical University in Turkey before continuing his studies at UCF. He has co-authored more than 35 papers, and he was co-recipient of two best paper awards and the UCF Computer Science Ph.D. Student of the Year First Runner-up Award. He has been a regular member of the technical program committees of IEEE conferences and a member of IEEE, Communications Society (ComSoc), ACM, SIGMOBILE, and ACM Future of Computing Academy (FCA).