معرفی
Dr. Baris Yuce is a Senior Lecturer and Program Lead for Engineering Management BEng/MEng at the Faculty of Environment, Science and Economy, University of Exeter. He holds a PhD in Engineering from Cardiff University and has previously worked as a Postdoctoral Researcher at Cardiff in sustainable engineering and machine vision. His academic background includes MSc and BSc degrees in Industrial Engineering from Sakarya University, Turkey.
His research focuses on the integration of artificial intelligence, optimization, and data science into sustainable engineering systems. Key areas include smart cities, renewable energy management, sustainable supply chains, and Industry 4.0. He applies machine learning, multi-agent systems, fuzzy logic, and nature-inspired optimization algorithms to real-world engineering challenges in buildings, transportation, and manufacturing.
Baris has contributed to a wide array of funded research projects, including EU FP7 initiatives like SPORTE2, KnoholEM, and MAS2TERING, as well as UKRPIF, KTP, STFC, and industry-funded efforts. These projects reflect a strong emphasis on digital twins, energy optimization, smart grids, and sustainable infrastructure.
He is affiliated with the Environmental Intelligence @ Exeter research network, which aligns with his focus on data-driven sustainability solutions. His work bridges civil, mechanical, electrical, and manufacturing engineering domains with computer science and applied mathematics.
Scientific Awards:
- No awards listed in the provided text.
Baris Yuce has been involved in multiple research collaborations and grants, serving as Principal Investigator (PI) on an industrially funded project with Waterman Group and as Co-Investigator (Co-I) on several others including UKRPIF's CREWW ENZO, STFC Food Network+, KTP with Smart Manufacturing, RIVIC, SPORTE2, KnoholEM, EEO-Box, WANDA, and MAS2TERING. These roles highlight his leadership in interdisciplinary and applied research. While no formal advisees are listed, his role as Program Lead suggests academic leadership and mentorship responsibilities.
He is part of the Environmental Intelligence @ Exeter initiative, a cross-disciplinary research network focused on leveraging data science and AI for environmental sustainability, indicating active participation in cutting-edge, team-based research.
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