معرفی
Semih Çal serves as an Assistant Professor in the Department of Engineering, Computer Science, and Physics at Otterbein University, specializing in wireless systems and distributed computing. His research bridges theoretical algorithms with practical IoT and drone network applications.
Education:
- Ph.D. in Computer Science from Texas Tech University (2024)
- M.S. in Computing and Information Systems from Youngstown State University (2021)
- B.S. in Computer Software Engineering Technology from Sam Houston State University (2017)
Dr. Çal's work centers on energy-constrained distributed systems, with emphasis on federated learning architectures for drone swarms and IoT edge networks. His expertise spans Lyapunov optimization for resource allocation, reliability-aware task offloading, and non-parametric statistical methods for database query processing. Current investigations focus on fault tolerance in reinforcement learning frameworks and knowledge distillation techniques for bandwidth-limited aerial networks.
Publication analysis (2020-2024) reveals a dual-track research trajectory: 75% of recent work addresses drone/IoT networking challenges using federated learning and optimization theory, while 25% explores statistical foundations of database error estimation. Key thematic clusters include UAV-aided mobile edge computing, bootstrap sampling methodologies, and reliability engineering in distributed AI systems.
Dr. Çal maintains active industry engagement through prior Turkish technology sector experience and current academic-industry collaborations. No formal advising roles or laboratory affiliations are documented in available materials.
