جستجوی استاد راهنمای دانشگاهی

Aykut BİLİCİ serves as a Lecturer and Directorate Coordinator at Gaziantep University's Naci Topçuoğlu Vocational School within the Machinery and Metal Technologies Department. His academic appointments include roles as Vocational School Deputy Director (2016-2025) and Quality Board Member at Gaziantep University. His research focuses on industrial automation systems, with significant contributions in IoT applications for energy efficiency, robotics, and control theory. Publications demonstrate expertise in Arduino-based lighting optimization, stainless steel material modeling, and daylight harvesting systems. Current projects include EU-funded initiatives like 'Meeting with NEETS’ Needs in Digital Era' (2023-2024) where he serves as Project Coordinator Assistant. Key Projects: Gaziantep University Shoe Testing Laboratory Accreditation (2018-2019), 'Halıya Estetik Dokunuşlar' EU collaboration (2016-2017), Plastic Injection Mold Design (2019) Teaching portfolio spans Electrical and Automation Systems, E-Commerce, Programmable Logic Controllers, and Computer-Aided Circuit Design across 14 courses since 2014. His work bridges theoretical engineering with vocational training applications in Turkey's industrial sector.

• Mechatronics Engineering
• Robotics
• Control Theory and Applications
• +۳ مورد دیگر

Enes Yigit serves as a Lecturer in the Department of Electrical and Energy at Gedik Vocational School, Istanbul Gedik University since 2024. His academic expertise spans Mechatronics Engineering with specialized focus on Robotics, Embedded Systems, and Mechatronic System Design. His educational qualifications include: Doctorate in Computer Engineering from Karabuk University (2024) Master of Science in Mechatronics Engineering from Karabuk University (2019-2021) Bachelor of Science in Mechatronics Engineering from Karabuk University (2013-2018) Dr. Yigit's research integrates mechanical, electrical, and computer engineering principles to develop automated systems. His work emphasizes practical applications in robotics control and embedded hardware-software co-design, contributing to vocational training in industrial automation technologies.

• Mechatronics Engineering
• Robotics
• Embedded Systems
• +۱ مورد دیگر

Assoc. Prof. Dr. Mustafa Tosun is a faculty member at Simav Faculty of Technology, Dumlupinar University, where he serves in the Department of Electrical-Electronic Engineering. With a PhD in Electrical and Electronic Engineering from Sakarya University, he has established himself as a researcher specializing in the application of artificial intelligence to biomedical signal processing. His educational background includes a Bachelor's degree in Electrical-Electronic Engineering from Selcuk University (1988-1992), followed by a Master's degree from Dumlupinar University (1994-1997), and ultimately his doctorate from Sakarya University (1998-2004). Prior to his current academic position, he gained valuable industry experience working at Turk Telekom Inc. from 1999-2006 in the Information Networks Directorate. Professor Tosun's research primarily focuses on Artificial Intelligence applications in biomedical engineering , with special emphasis on EEG signal processing using deep learning techniques. His work spans multiple domains including Brain Computer Interfaces, cognitive workload measurement, pain threshold estimation, and neurological disorder classification. He has published extensively in these areas, with a notable increase in publications during 2020-2022. His recent publications demonstrate a strong trend toward applying advanced machine learning techniques to solve complex biomedical problems, particularly in EEG signal analysis and classification. The research shows consistent focus on improving signal processing methods, artifact removal, and developing more accurate classification systems for various medical applications. As an educator, Professor Tosun teaches a wide range of courses including: Fundamentals of Biomedical Engineering Fuzzy Logic Introduction to Electrical and Electronics Engineering Electronics I & II Artificial Neural Networks Neural Networks and Deep Learning He actively supervises graduate students, with numerous ongoing and completed theses in areas such as EEG-based psychiatric disease investigation, brain-computer interfaces, and pain classification systems. His research group appears well-established with multiple concurrent projects addressing different aspects of AI applications in biomedical engineering.

• Artificial Intelligence
• Artificial Neural Networks
• Deep Learning Algorithms
• +۶ مورد دیگر

Dr. Mualla Keten Gökkuş is a Researcher at Nevşehir Hacı Bektaş Veli University's Faculty of Engineering and Architecture, with prior affiliations at Kahramanmaraş Sütçü İmam University. She holds a PhD in Biosystems Engineering with a specialization in Land and Water Resources. Her research explores: Water-yield relationships under deficit irrigation Drought resistance mechanisms in crops like maize, sorghum, and soybean Application of stress indices (CWSI/WDI) for irrigation scheduling Agricultural technology integration including ANFIS modeling and image processing Her publications demonstrate consistent focus on optimizing water use efficiency in arid-region agriculture. Awards: TÜBİTAK Publication Incentive Award (2024) Research Projects: She has led/contributed to national projects including: Groundwater quality mapping using GIS Fertilization optimization in red pepper cultivation Maize-bean intercropping systems under water stress Currently advising one master's student, she previously held administrative roles as Deputy Director of the university's Research Center.

• Agricultural Engineering
• Irrigation Systems
• Crop Science
• +۳ مورد دیگر

Mustafa AKSU is a Lecturer at Ahi Evran University, Faculty of Engineering and Architecture, Department of Computer Engineering. He holds a Doctorate (2016) from İnönü University in Computer Hardware, a Master's (2004) in Electrical and Electronics Engineering from Kahramanmaraş Sütçü İmam University, and a BSc (1998) in Computer Science Engineering from Kocaeli University. Current Position: Doctor Öğretim Üyesi (Lecturer) since 2022 Previous Role: Full-time Teaching Staff at Kahramanmaraş Sütçü İmam University (2001-2022) His research focuses on Data Structures and Algorithms , with significant contributions to skip ring/skip list innovations and their applications in robotics, artificial intelligence, and image processing. Key interests include: Algorithm optimization Machine learning applications Image segmentation techniques Mobile system development Renewable energy simulations Publications showcase expertise in data structures, robotics, and energy systems, with a recent 2024 paper on COVID-19 prediction algorithms and a 2023 book chapter on robotic simulation importance . Collaborations span institutions including İnönü University, University of Turku, and Gaziantep University. As a thesis advisor, he has guided three Master's students in 2024. Professional experience includes department chairmanship (2011-2014) and extensive teaching roles since 2001.

• Data Structures and Algorithms
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

Volkan GÜNEŞ is a Lecturer in the Department of Computer Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture . He holds a PhD in Computer Science from the University of California, Irvine (2015) and a Master's degree (2010) from the same institution, with a focus on computer engineering. His academic career spans roles at Süleyman Demirel University (2016-2018), Isparta Applied Sciences University (2018-2019), and Kırşehir Ahi Evran University since 2019. Education : PhD in Computer Science and Engineering (2015), MS (2010), BS in Electronics and Computer Education (2006). Research Areas : Cyber-physical systems, smart building optimization, embedded processor design, and fault mitigation in sensor networks. Publications : His work explores CPS applications, energy-efficient HVAC systems, and scalable many-core architectures. Collaborators : Tony Givargis, Steffen Peter, Frank Vahid.

• Computer Science
• Cyber-Physical Systems
• Smart Buildings
• +۴ مورد دیگر

Balkız ÖZTÜRK BAŞARAN is a Professor and Department Head at Boğaziçi University's Department of Linguistics. She holds office JF 303 and can be reached at balkiz.ozturk@boun.edu.tr. Her academic career spans theoretical and descriptive linguistics with a focus on understudied languages of the Caucasus region. Her educational background includes a PhD in Linguistics from Harvard University (2004), an MA in Linguistics from Boğaziçi University (1999), and a BA in Translation and Interpretation from Boğaziçi University (1996). Her research interests center on Caucasian Languages, Altaic Languages, Turkish Languages, Theoretical Syntax, and Semantics. She has made significant contributions to the documentation and analysis of Laz language varieties, particularly Pazar Laz, Ardesheni Laz, and Muş Kurmanji. Her work bridges theoretical syntax with empirical fieldwork on lesser-documented languages, examining phenomena like case systems, applicatives, verb-framing, and possessive constructions. Her recent publications reveal a strong trend toward computational linguistics applications, particularly in Turkish language processing, while maintaining her core research on Caucasian languages. This dual focus demonstrates her ability to integrate theoretical linguistic insights with practical computational applications. She has served as principal investigator or researcher on multiple significant projects including the Deep Learning Based Turkish Dependency Parser (2018-present), Language Interaction in Turkey: Documentation and Analysis (2018-present), and Argument and Adjunct Distinction in Muş Kurmanji (2017-present), all funded by TÜBİTAK and Boğaziçi University Research Fund. Her teaching portfolio includes undergraduate courses in Morphology (Ling 202), Syntax (Ling 203), Typology (Ling 206), and Syntax and Semantics of Turkish (Ling 314), as well as graduate courses in Syntactic Theory (Ling 541), Readings in Linguistics (Ling 572), and Syntax of Voice (Ling 58H). She has presented her research at numerous international conferences and has given invited talks at institutions including Harvard University, University of Toronto, and Dokuz Eylül University.

• Caucasian Languages
• Altaic Languages
• Turkish Languages
• +۵ مورد دیگر

Associate Professor Muzaffer Aslan is a faculty member at Bingöl University's Faculty of Engineering and Architecture, specializing in applied artificial intelligence research. His work bridges computer science, electrical engineering, and biomedical domains with practical implementations in industrial, medical, and energy systems. His academic journey includes a BSc in Electronic-Computer Education from Gazi University (1993), MSc from Fırat University (2004), and PhD in Electrical-Electronics Engineering from Fırat University (2016). This multidisciplinary foundation enables his cross-domain research approach. Professor Aslan's research centers on developing efficient deep learning solutions for real-world problems. His primary focus areas include medical imaging analysis (brain tumor and COVID-19 detection from X-rays), fall detection systems using depth sensors, emotion recognition from EEG signals, and appliance classification for smart grids. He innovates through hybrid architectures that combine CNNs with signal processing techniques like wavelet transforms and dispersion entropy, achieving high accuracy while maintaining computational efficiency. His publication record shows accelerating output since 2020, with 11 journal articles in 2021-2022 alone spanning medical diagnostics, agricultural technology, and industrial quality control. Recent work demonstrates increasing sophistication in model design, particularly in efficient architectures for resource-constrained environments as seen in his 2023 surface defect detection paper. As Principal Investigator for a TÜBİTAK 1002 project on appliance classification, he secures active research funding while mentoring graduate students. His supervision style emphasizes practical implementation, with students frequently co-authoring publications and contributing to textbook development. The collaborative nature of his work is evident in multi-institutional authorship patterns across his publications.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +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.

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

ERDEM GÖNÜLTAS serves as a Lecturer at Bingöl University's Young Vocational School, focusing on practical technical education. His academic background includes: Bachelor's degree in Computer Engineering from Fırat University Faculty of Engineering (2008-2012) Master's degree in Computer Engineering Hardware from Fırat University Institute of Science (2012-2017) Ongoing Doctorate in Computer Engineering Hardware at Fırat University Institute of Science (2018-Present) His research concentrates on Computer Engineering with emphasis on Hardware Design and Embedded Systems , applied within vocational training contexts. Current work integrates hardware specialization into technical curriculum development at the undergraduate level.

• Computer Engineering
• Hardware Design
• Embedded Systems
• +۱ مورد دیگر