Hi! I am a PhD with a focus on applied Machine Learning and Data Science approaches for engineering problems, particularly on wireless and techno-social networks. I have a firm grasp of the entire stack from hardware and embedded software to web applications thanks to 9 years of industry research and development experience at 2 start-ups; both developing novel IoT solutions from ground-up that are currently deployed internationally. I especially enjoy multidisciplinary collaboration and interdisciplinary research.

Summary of Qualifications

• 9 years of early-stage start-up R&D engineering experience over two organizations creating novel IoT solutions, both having international deployments.
• Published 9 articles between journals, refereed conferences, and book chapters.
• Ability to design and implement novel algorithms to address challenges under strict resource constraints, including embedded platforms.
• Experienced in collaborating with multidisciplinary teams and providing specialist support across the organization.
• Received Florida High-Tech Corridor Student Research Award, strong experience in academia-industry partnership.
• Experienced in regulatory compliance and pre-compliance processes.
• Designed and shipped 6 volume-manufactured embedded IoT devices end-to-end from concept to production; including wearables, sensors, and gateways.

Education

• PhD in Electrical Engineering, University of South Florida, May 2020
• MSEE in Electrical Engineering, University of South Florida, 2017
• BSc in Electrical Engineering, Istanbul Technical University, 2012

Interests

• Machine Learning
• Reinforcement Learning
• Network Science
• Computational Social Sciences