جست‌وجوی استاد و پژوهشگر

Musab Coşkunمشاهده پروفایل

مدرس

• Computer Vision
• Deep Learning
• Robotics
• +۳ مورد دیگر

Dr. Musab Coşkun serves as a Lecturer at Bingöl University's Continuing Education Application and Research Center. He maintains active international collaborations through past visiting researcher positions at the University of Koblenz and Landau (Germany) and the University of Malta. His academic credentials include: Bachelor of Science in Electrical and Electronics Engineering, Fırat University (2006-2010) with Erasmus exchange at Bialystok University of Technology, Poland (2008-2009) Master of Science in Electrical and Electronics Engineering, Fırat University (2012-2015) Doctor of Philosophy in Electrical and Electronics Engineering, Fırat University (2015-2022) Dr. Coşkun's research integrates Computer Vision, Deep Learning, and Robotics to solve practical problems in unmanned systems and human-machine interaction. His work spans theoretical algorithm development (e.g., efficient neural networks for sEMG classification) and hardware implementation (FPGA acceleration, UAV systems), with recent emphasis on reinforcement learning for robotic manipulation. The progression from 2016-2017 object tracking studies to 2021-2022 robotic grasping research demonstrates evolving technical sophistication while maintaining core computer vision expertise. His publication record shows consistent output in high-impact venues, with recent work focusing on deployable deep learning solutions for robotics. The 2018 TÜBİTAK-funded project on humanoid robot training algorithms provides evidence of competitive grant acquisition capability. As an early-career lecturer, Dr. Coşkun offers students hands-on experience with cutting-edge robotics and vision systems within Bingöl University's continuing education framework, emphasizing practical implementation skills alongside theoretical foundations.

Vincent Weaverمشاهده پروفایل

دانشیار

• Hardware Performance Counters
• Computer Architecture
• High Performance Computing
• +۸ مورد دیگر

Vincent Weaver is an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine's College of Engineering. He leads the VMW Research Group, focusing on low-level systems research including hardware performance counters, computer architecture, and operating systems. Weaver received his BS in Electrical Engineering from the University of Maryland College Park in December 2000, followed by MS (January 2009) and PhD (May 2010) degrees in Electrical and Computer Engineering from Cornell University. He joined the University of Maine faculty in July 2012 as an Assistant Professor and earned tenure and promotion to Associate Professor in September 2018. His research centers on hardware performance analysis, architectural simulation, and systems programming with emphasis on Linux kernel development and embedded systems. Weaver's work bridges theoretical computer architecture with practical systems implementation, often resulting in open-source tools that advance the field. His publications reveal a consistent focus on performance analysis techniques, code optimization, and security through low-level system understanding. Weaver maintains an active teaching schedule including courses in embedded systems, operating systems, and network engineering. He values students with strong programming skills and encourages open source contributions as part of the learning process. His research group provides hands-on experience with cutting-edge processor architectures and performance analysis tools.

Mohammad A. Ahadمشاهده پروفایل

دانشیار

• Bioinstrumentation
• Biosensors
• Biosignal Modeling
• +۴ مورد دیگر

Dr. Mohammad A. Ahad is an Associate Professor and Interim Department Chair in Electrical & Computer Engineering at Georgia Southern University, where he has been faculty since 2011. His research focuses on bioinstrumentation, biosensors, and biomedical signal processing, particularly in Electrical Impedance Myography (EIM) for non-invasive medical diagnostics. Education: Ph.D. Electrical and Computer Engineering, University of Tennessee, Knoxville (2007) M.S. Electrical and Computer Engineering, University of Tennessee, Knoxville (2002) B.S. Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (1998) Research Focus: Dr. Ahad's work spans biomedical instrumentation development, FPGA-based system design, and computational modeling of biological systems. His EIM research enables novel diagnostic approaches for muscle pathologies and cancer detection through finite element analysis and electrode optimization. Grant Leadership: Secured competitive funding as PI for multiple NIH and NSF projects focusing on human-robot interfaces, non-invasive instrumentation, and early cancer detection techniques using impedance methods. Teaching: Specializes in hands-on engineering education including digital design with DE2 boards, embedded systems programming, and signal processing laboratories.

Marcian Cirsteaمشاهده پروفایل

استاد

• Artificial Intelligence
• Digital Systems Design
• FPGA-based Systems
• +۵ مورد دیگر

Marcian Cirstea is Head of School for the Faculty of Science and Engineering at Anglia Ruskin University, where he leads the School of Computing and Information Science in Cambridge. With over 30 years of academic experience, he specializes in digital systems design, artificial intelligence applications for hardware, and FPGA-based intelligent systems. His leadership extends to coordinating international research projects and serving as Associate Editor for IEEE Transactions on Industrial Informatics. His educational background includes: PhD in Electronic/Electrical Engineering from Nottingham Trent University, UK PGCE in Learning & Teaching from De Montfort University, UK MEng in Electrical Engineering from Transilvania University of Brasov, Romania Cirstea's research focuses on AI-driven digital systems design, particularly in hardware description languages (VHDL), FPGA implementation, and digital twins for intelligent systems. His work bridges theoretical innovation with industrial applications, emphasizing rapid prototyping and system-on-chip design methodologies. Recent advancements include prompt engineering for hardware systems and security solutions for IoT devices. His publication portfolio shows a consistent trajectory toward AI-integrated hardware design, with increasing emphasis on energy systems (microgrids, EV charging) and hardware security (PUF-based cryptography). The shift from foundational FPGA methodologies (2000s) to AI-driven approaches (2020s) reflects evolving industry needs in embedded systems and renewable energy integration. Key recognitions include: Fellow of the Institute of Electrical and Electronics Engineers (FIEEE) Fellow of the Institution of Engineering and Technology (FIET) Doctor Honoris Causa from Transilvania University of Brasov (2016) Cirstea has supervised 13 research degrees to completion and examined 19 others. His funded projects include the €130K EU Framework 6 CRISTAL project coordinating 11 institutions across 7 countries, a £105K Knowledge Transfer Partnership with Siemens, and industry training for major tech firms including CSR, Plastic Logic, and ADI Ltd. He actively consults on digital systems design methodologies and delivers specialized VHDL/FPGA courses globally. He contributes to the Computing, Informatics and Applications research group, focusing on translating academic research into industrial applications through hardware-in-the-loop validation and cross-sector collaborations in energy systems and secure IoT architectures.