جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Reliable Computer Design
• Fault Detection and Recovery
• +۳ مورد دیگر

Gülay YALÇIN is an Assistant Professor at Abdullah Gul University since 2016. Prior to this, she held a post-doctoral position at the Barcelona Supercomputing Center (BSC) from 2014-2015 and was a researcher there from 2009-2014. She obtained her Ph.D. from Universitat Politècnica de Catalunya in 2014, focusing on Computer Architecture. Her academic background also includes an M.S. from TOBB University (2007) and a B.S. from Hacettepe University (2003), both in Computer Engineering. Education: Ph.D.: Universitat Politècnica de Catalunya, Department of Computer Architecture (2008-2014) M.S.: TOBB University of Economics and Technology, Computer Engineering (2007) B.S.: Hacettepe University, Computer Engineering (2003) Research Interests: Computer Architecture Reliable Computer Design Fault Detection and Recovery Parallel Computer Architectures Hardware Transactional Memory Low-Power Designs Her work emphasizes improving system reliability through innovative fault tolerance mechanisms and energy-efficient computing solutions. Scientific Awards: ParaDIME Project Shortlisted for the 2016 Innovation Radar Prize Advising and Projects: Supervised: Albert Njoroge Kahira (M.S. Candidate) on "Designing Reliable Microarchitectures According to Application Requirements" Project Roles: Researcher in ParaDIME (2012-2015) and Velox (2008-2011)

Barış Akgünمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Machine Learning for Robotics
• Artificial Intelligence for Robotics
• +۴ مورد دیگر

Barış Akgün is an Assistant Professor at Koç University since September 2016. Previously, he was a Post-Doctoral Fellow at the Electrical and Computer Engineering Department of The University of Texas at Austin. He holds a PhD in Robotics from the Georgia Institute of Technology (2015), an MSc in Computer Science, and a BSc in Mechanical Engineering with a Mechatronics minor from the Middle East Technical University (2010 and 2007, respectively). Research Interests: Designing systems/algorithms for robots to learn from demonstration and autonomously operate in complex environments Human-robot collaboration and safety in shared spaces Machine learning applications for sequential/time-series data His work focuses on enabling robots to operate reliably alongside humans through advanced learning methodologies. No scientific awards or grants have been explicitly mentioned in the provided information. No advising/grant details are available. Current lab/team affiliations are not specified.

Emrah Ahiمشاهده پروفایل

استادیار

• Fixed Income Securities
• Derivatives
• Computational Finance
• +۷ مورد دیگر

Dr. Emrah Ahi is an Assistant Professor of Finance at Özyeğin University's Faculty of Business Administration and a researcher at the Center for Financial Engineering. With over 15 years of experience in finance, he previously served as a fund manager at HSBC Global Asset Management. PhD in Finance (Özyeğin University, 2010-2016) MS in Computational Science and Engineering (Koç University, 2004-2007) BSc in Mathematics (Middle East Technical University, 2000-2004) His research spans fixed income securities, derivatives, asset pricing , and machine learning , with cross-disciplinary contributions to peer-to-peer network protocols and distributed systems . Key themes include risk modeling, volatility analysis, and robust computational methods in finance, alongside technical innovations in gossip-based data dissemination. Recent publications focus on volatility smile modeling in currency options, term structure estimation in emerging markets, and applying machine learning to credit risk analysis. Earlier work on buffer management in epidemic algorithms demonstrates methodological rigor in distributed computing. He teaches courses in Applied Financial Economics, Derivatives, Fixed Income Markets, and Investments. His affiliations include Özyeğin University's Center for Financial Engineering and collaborations in computational finance research.

• RF Power Amplifier Design
• Control Systems
• MEMS-IMU Systems
• +۵ مورد دیگر

Murat Üçüncü is an Associate Professor in the Department of Electrical and Electronics Engineering at Başkent University . He holds a PhD (1989), MSc (1985), and BSc (1983) from Boğaziçi University, and an additional BSc from Kara Harp Okulu (1980). His academic career spans over 35 years, with a focus on RF systems, control theory, and defense technologies. PhD, Boğaziçi University (1989) MSc, Boğaziçi University (1985) BSc, Boğaziçi University (1983) BSc, Kara Harp Okulu (1980) His research interests include RF power amplifier design, MEMS-IMU systems, underwater communication, and graph signal processing for automotive RADAR. Recent work emphasizes adaptive Kalman filtering, avionics network simulations, and autonomous systems for UAVs. Key article trends show expertise in RF circuit optimization , Kalman filter adaptation , and graph-based classification algorithms . No scientific awards are mentioned in the provided data. Advised 21+ students in areas spanning control systems, avionics, and defense technologies Led projects on shaped charges, underwater communication systems, and avionics networks

Tufan Kumbasarمشاهده پروفایل

استاد

• Fuzzy Logic
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Tufan Kumbasar is a faculty member at the Department of Control and Automation Engineering , Istanbul Technical University , where he has served as a Professor since 2024. He previously held roles as Associate Professor (2019-2024), Vice Dean (2017-2020), and Guest Professor at the University of Alaska Fairbanks (2016). His research spans multiple domains in computational intelligence and control systems. PhD in Control and Automation Engineering (ITU, 2012) Postdoctoral Research (University of Essex, 2012) Master's and Bachelor's in Control and Automation Engineering (ITU, 2008 and 2006) His work focuses on Type-2 Fuzzy Logic Systems , Deep Learning Integration , and Uncertainty Quantification with applications in Drone Swarms , Autonomous Vehicles , and Medical Robotics . Recent publications highlight hybrid control methodologies combining conventional and fuzzy logic, AI-driven system identification , and real-world implementations of learning frameworks. 2023 BAGEP Science Academy Young Academician Achievement Award 2022 IEEE Türkiye Outstanding Young Scientist Award 2021 Parlar Foundation Research Encouragement Award Best Publication Awards (2015, 2018) As a Principal Investigator , he leads projects like KAYRA Search and Rescue Robot and UMAY Search and Rescue Robot , emphasizing Deep Learning-based Type-2 Fuzzy Systems and Reliable Uncertainty Quantification . His teaching innovations include transforming Feedback Control Systems into MATLAB environments via Deep Learning Pipelines .

• Next-Generation Wireless Networks
• Wireless Ad Hoc and Sensor Networks
• Cognitive Radio Networks
• +۵ مورد دیگر

Prof. Dr. V. Çağrı GÜNGÖR is a Professor and Department Chair of Computer Engineering at Abdullah Gül University, Kayseri, Turkey. He holds a Ph.D. from Georgia Institute of Technology and has been actively involved in research and academia since 2001. His primary roles include leading the Computer Engineering department and contributing to editorial boards of prestigious journals. Education: B.S. and M.S. in Electrical and Electronics Engineering (Middle East Technical University, 2001/2003); Ph.D. in Electrical and Computer Engineering from Georgia Tech (2007). Research focuses on next-generation wireless networks, smart grid communications, cognitive radio networks, underwater acoustic networks, and AI-driven data mining. His work bridges theoretical advancements with practical applications in smart grids and vehicular networks, emphasizing reliability and efficiency. Notable awards include TUBITAK Young Scientist Award (2017), BAGEP (2017), and IEEE Best Paper Awards (2012, 2006). He leads multiple research projects funded by TÜBİTAK, EU Marie Curie, and industry partners like Alcatel-Lucent and Eaton Corporation. Grants and projects include developing low-power WSNs for structural health monitoring, underwater acoustic networks, and smart grid communication frameworks. He has co-authored over 100 peer-reviewed publications and edited books on industrial wireless networks. Teaching courses include Computer Networks, Wireless Sensor Networks, and Capstone Design Projects. His lab explores cutting-edge solutions in IoT, vehicular networks, and AI-driven network optimization.

• Design for Testability
• Automatic Test Pattern Generation
• Electronic Design Automation
• +۳ مورد دیگر

Haluk Konuk is a Visiting Professor at the Faculty of Engineering, Özyeğin University. With a PhD in Electrical Engineering from the University of California, Santa Cruz (1996), he specializes in VLSI testing, Design for Testability, and Electronic Design Automation. He worked at Hewlett-Packard/Agilent Technologies and Broadcom Corporation for over 25 years, contributing to the development of critical internet infrastructure ASICs and processors. Since 2021, he has founded Palo Alto Test Technologies, focusing on advanced testing solutions. PhD in Electrical Engineering, University of California, Santa Cruz (1996) MS in Electrical Engineering, Case Western Reserve University (1989) BS in Electrical & Electronics Engineering, Boğaziçi University (1986) His research focuses on Design for Testability (DFT), Automatic Test Pattern Generation (ATPG), and Electronic Design Automation (EDA), addressing challenges in VLSI and CMOS circuit testing. His work includes modeling open-defects, fault simulation, and optimizing test efficiency for digital circuits. Haluk Konuk's publications span test compression, delay fault testing, and fault modeling, reflecting his long-term contributions to VLSI test methodologies. He holds 9 U.S. patents and has served on IEEE conference program committees. Fulbright Scholarship 9 U.S. Patents in VLSI Test Technology

• Computer System Software
• Image Processing
• Programming Languages
• +۳ مورد دیگر

Murat IŞIK is a Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Architecture, Kırşehir Ahi Evran University. He has been serving as a full-time faculty member since 2017 and currently holds additional administrative positions as Department Head (since 2025) and Research Application Center Deputy Director (since 2024). PhD in Computer and Information Engineering, Sakarya University (2011-2017) MSc in Computer Engineering, Sakarya University (2009-2011) Bachelor's Degree from Dicle University, Batman Technical Education Faculty (2002-2006) Dr. IŞIK's research spans multiple areas in computer science and engineering, with a focus on artificial intelligence applications. His primary research interests include Computer System Software, Image Processing, Programming Languages, Computer Software and Software Engineering, Machine Learning, and Artificial Intelligence. His work demonstrates a strong interdisciplinary approach, applying computer vision and deep learning techniques to diverse fields including medical diagnostics, education technology, and accessibility solutions. His recent publications show a trend toward practical applications of AI in education, healthcare, and everyday life challenges. He has developed innovative solutions such as real-time assessment systems for primary schools, assistive technology for visually impaired individuals, and classification systems using deep learning approaches. Research World Medal and Research World Excellent Paper Award (2016) Dr. IŞIK has successfully supervised multiple master's students and is actively involved in numerous research projects funded by higher education institutions. His projects range from BCI-supported deep learning models for motor/facial movement detection to AI-assisted insole production and intelligent test systems for primary school students. He has secured funding for projects extending through 2027, demonstrating sustained research productivity. He leads the Computer Engineering department's research efforts and has established collaborations with researchers both within Turkey and internationally, particularly in Iraq. His laboratory work focuses on implementing practical AI solutions with an emphasis on accessibility and educational applications.

• Power Systems Analysis
• Demand Side Management
• Electricity Markets
• +۷ مورد دیگر

Murat Fahrioğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His academic expertise lies in power systems, demand side management, and renewable energy integration. Ph.D. in Electrical Engineering, University of Wisconsin-Madison, 1999 M.Sc. in Electrical Engineering, University of Wisconsin-Madison, 1994 His research interests focus on enhancing power system reliability and efficiency through demand management, game theory applications, and sustainable energy solutions. He investigates nonlinear pricing models, customer outage cost calibration, and the role of distributed generation in preventing outages. His work emphasizes the economic and strategic dimensions of power system operations, particularly in deregulated environments. He has also explored the integration of solar and wind energy in Northern Cyprus, assessing hybrid systems and grid connection challenges. The recent publications reflect a strong trend in applying computational and economic models—particularly game theory and neural networks—to optimize demand management contracts, locational marginal pricing, and distributed generation integration. His work bridges electrical engineering with economics, contributing to smarter, more resilient power grids. While no specific scientific awards are listed in the provided text, his sustained publication record in reputable journals such as IEEE Transactions on Power Systems and Electric Power Systems Research indicates scholarly recognition. Murat Fahrioğlu has advised graduate research, as evidenced by his doctoral and master’s theses. His research projects include demand management program design, integration of distributed generation, and optimal economic dispatch using TCSC devices. These efforts contribute to robust, cost-effective power systems and support sustainable energy transitions. His research has practical implications for regulators, Independent System Operators (ISOs), and utilities aiming to enhance grid stability and incorporate renewable energy sources efficiently. His focus on Northern Cyprus highlights regional energy challenges and opportunities in solar and wind hybrid systems.

• Management Information Systems
• Data Mining
• Data Analysis
• +۱۲ مورد دیگر

Asst. Prof. BAŞAK GÖK is a faculty member in the Department of Management Information Systems at the Faculty of Applied Sciences, Gazi University . She has been affiliated with Gazi University since 2009 and currently holds the academic rank of Assistant Professor. She previously served as a lecturer at Hacı Bayram Veli University and as a visiting researcher and lecturer at Texas Tech University, USA. Her academic career is deeply rooted in interdisciplinary research, bridging education, technology, and management. Her educational background includes: Bachelor's and Master's in Physics Education from Gazi University Second Master's and PhD in Management Information Systems (Interdisciplinary), Gazi University Postdoctorate at Texas Tech University, Institute for Measurement, Methodology, Analysis and Policy (IMMAP), USA (2019–2020) Her research interests span Management Information Systems, Data Mining, Distance Education, Service Quality, Performance Evaluation, Scale Development, Structural Equation Modeling, and Digital Transformation . She applies advanced analytical methods to assess educational technologies, e-commerce platforms, and organizational systems. Her work emphasizes practical solutions in information systems, particularly in education and logistics. She has published extensively in peer-reviewed journals and conferences, with recent work focusing on disinformation detection, financial literacy, warehouse optimization, and 5G technology adoption. Her publications reflect a strong trend in applied data science and decision support systems across educational and business contexts. Scientific Contributions: Active peer reviewer for journals such as Gazi Mühendislik Bilimleri Dergisi , Journal of Information Systems and Management Research , and Information Technologies Journal Contributor to international book chapters on Digital Transformation and Green Computing Member of editorial and review boards for ESCI and nationally indexed journals She has supervised student projects and is currently leading a social research project on the relationship between financial literacy and future anxiety among Gazi University students. She has also participated in an Erasmus-funded project on mobile learning for women artisans. Her academic service includes leadership roles such as Vice Dean (2023–2024) and Deputy Head of Department (2022–2023), demonstrating strong institutional engagement. She is affiliated with research groups and labs focused on data analytics, educational technology, and information systems design , often collaborating with researchers like H. Gökçen and others. Her ongoing work continues to explore digital transformation, AI applications, and sustainability in computing.

Dilek Günneç Danışمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network optimization models
• Social network analysis
• +۷ مورد دیگر

Dilek Günneç Danış is an Associate Professor in the Industrial Engineering Department at Özyeğin University, Turkey. Her academic work spans network optimization, social network analysis, and humanitarian logistics with applications in disaster management, marketing, and public health. Ph.D. in Operations Management/Management Science, University of Maryland (2012) M.Sc. in Industrial Engineering, Koç University (2007) B.Sc. in Mathematics with Minor in Operations Research, Middle East Technical University (2005) Research Interests : Combinatorial optimization and complex systems Network modeling for information propagation New product development under social influences Humanitarian logistics in refugee crises Disaster mitigation and infrastructure resilience Scientific Contributions : Developed agent-based models for refugee migration paths Created capacitated mobile facility location frameworks Advanced influence maximization algorithms for social networks Optimized disaster response logistics systems Scientific Awards : Best Poster Award (Business Analytics Workshop, 2017) Advised team: Third Place INFORMS Student Competition (2020)

Tolga Ayavمشاهده پروفایل

استاد

• Formal Methods for Software Testing
• Hardware Component and On-Chip System Tests
• Real-Time and Fault-Tolerant Embedded Systems
• +۵ مورد دیگر

Professor Tolga Ayav is affiliated with the Department of Computer Engineering at Izmir Institute of Technology , where he has served as faculty since 2006. He received his BSc in Electrical and Electronics Engineering (1995) from Dokuz Eylül University, MSc in Computer Engineering (1999) from Izmir Institute of Technology, and PhD in Computer Engineering (2004) from Ege University. He was a researcher at INRIA Rhone-Alpes in 2005. Education BSc: Electrical and Electronics Engineering, Dokuz Eylül University (1995) MSc: Computer Engineering, Izmir Institute of Technology (1999) PhD: Computer Engineering, Ege University (2004) Research Interests include formal methods for software testing, hardware component and on-chip system tests, real-time and fault-tolerant embedded systems, blockchain applications, and machine learning. His work focuses on: Formal verification techniques Real-time system optimization Hardware-software co-design Blockchain-based security solutions Mathematical modeling in testing Recent Publications span topics like: Deep learning for livestock monitoring Blockchain in IoT security Fourier expansion in fault analysis Optimized data replication strategies Finite state machine testing Scientific Awards include: Best Paper Award at IEEE CBDCom 2016 for cloud data replication research Teaching includes courses such as: CENG 312: Computer Networks CENG 523: Advanced Topics in Real-Time Systems CENG 215: Circuits and Electronics Projects he has led include: TÜBİTAK TEYDEB: Spectrally Efficient Small Cell Base Station Design BAP: Dedicated Server for Physical Network Applications Lab Leadership : He leads the DCS Research Group at Izmir Institute of Technology, focusing on distributed computing and real-time systems.

• Clinical Psychology
• Guidance and Psychological Counseling
• Internet-Based Mental Health Interventions
• +۵ مورد دیگر

ÖMER ÖZER serves as Assistant Professor at Anadolu University's Open Education Faculty, Department of Social Services and Counseling since 2022, following roles as Lecturer (2017-2022) and Expert (2013-2017) in the Faculty of Education. His academic trajectory demonstrates progressive specialization in clinical psychology and counseling within Turkish higher education. His educational foundation includes: Doctorate in Guidance and Psychological Counseling, Ankara University (2014-2020) Master's in Guidance and Psychological Counseling, Tokat Gaziosmanpaşa University (2010-2014) Associate Degree in Law, Anadolu University Open Education Faculty (2012-2014) Bachelor's in Educational Sciences, Karadeniz Technical University (2005-2009) ÖMER ÖZER's research centers on internet-based mental health interventions, with particular expertise in cognitive behavioral therapy applications, virtual reality exposure, and transdiagnostic approaches for university populations. His work bridges clinical psychology with digital innovation, focusing on accessibility and effectiveness of online counseling services while addressing social anxiety and student mental health challenges through evidence-based technological solutions. Analysis of his 2024-2025 publications reveals a decisive shift toward transdiagnostic digital platforms like UNIPDES, rigorous usability testing of mental health apps, and critical examination of counselor perspectives on teletherapy. These works demonstrate interdisciplinary integration of psychology, education technology, and clinical implementation science, establishing him as a key contributor to digital mental health infrastructure in academic settings. No scientific awards are documented in available records. His grant portfolio features significant TUBITAK-funded projects including 'VRelax - Virtual Reality Psychological Support System' (2019-2020) and 'Okul Psikolojik Danışmanı Bilim Okulu' (2016-2019), alongside Erasmus collaborations like 'School as a Wheel of Togetherness' (2018-2021). These initiatives demonstrate sustained leadership in developing school-based counseling frameworks and technology-enhanced interventions, though specific student supervision details remain unreported. ÖMER ÖZER operates within collaborative research teams focused on mental health technology development, notably contributing to the 'Bi'Kilo' weight management application and UNIPDES transdiagnostic platform. His current work integrates psychologists, computer scientists, and educators to advance digital therapeutic solutions within Turkish university counseling ecosystems.

• Artificial Intelligence
• Computer Learning and Pattern Recognition
• Audio and Image Processing
• +۵ مورد دیگر

Prof. Dr. Rifat EDİZKAN is a distinguished Professor at Eskisehir Osmangazi University's Faculty of Engineering-Architecture, Department of Electrical and Electronics Engineering. He currently serves as the Head of Department since 2023 and previously held the position of Vice Rector from 2019-2022. With a career spanning over three decades at the university, he has progressed from Research Assistant to his current professorship. His educational background includes: Bachelor's Degree: Anadolu University (1987) Master's Degree: Anadolu University (1990) PhD: Eskisehir Osmangazi University (2000) Prof. EDİZKAN's research focuses on cutting-edge areas in artificial intelligence and signal processing. His work primarily centers around Artificial Intelligence, Computer Learning and Pattern Recognition, with specific expertise in Audio and Image Processing, Pattern Classification, and Digital System Design. His research has evolved from traditional pattern recognition techniques to modern deep learning applications across diverse domains including medical imaging, agricultural technology, and robotics. An analysis of his recent publications reveals a strong trend toward practical AI applications, particularly in healthcare technology (fall detection systems, medical imaging), agricultural monitoring (plant disease detection), and industrial automation. His work demonstrates a consistent evolution from theoretical pattern recognition to applied machine learning solutions addressing real-world problems. Prof. EDİZKAN has served as Principal Investigator on numerous research projects, including several TUBITAK-funded initiatives. His leadership extends beyond research to academic administration, having served as Department Head twice and as Vice Rector. He has also been actively involved in peer review activities for journals and conferences, and has served on academic promotion committees. His laboratory work appears to focus on practical implementations of AI systems, with recent projects involving elderly care robots, plant disease detection systems, and industrial monitoring solutions. His research group seems to maintain strong industry connections, particularly in the automotive and healthcare sectors.

Duygu Bayram Karaمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Electrical Machines and Energy Conversion
• +۳ مورد دیگر

Duygu Bayram Kara is an active Associate Professor in the Department of Electrical Engineering at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, where she has been a faculty member since 2016 after serving as a Research Assistant (2007-2015). Her career includes a brief industry role at Baytek Construction (2015-2016), but she remains a core academic staff member with office EEF 7311 and contact number +90-212-285-6956. She maintains active profiles on Scopus, Web of Science, Google Scholar, and ResearchGate with an ORCID (0000-0001-8184-8510). Education: PhD in Electrical Engineering from Istanbul Technical University (2009-2015) MSc in Electrical Engineering (with thesis) from Istanbul Technical University (2006-2009) BSc in Electrical Engineering from Istanbul Technical University (2001-2006) Research Interests: Her work integrates Machine Learning and Signal Processing with Electrical Machines and Energy Conversion to address critical challenges in electric motor reliability. She pioneers Kalman filter-based data fusion for aging monitoring and fault detection in motors, while simultaneously applying deep neural networks to characterize polymer nanocomposite films for electrical/optical applications. This dual focus bridges theoretical signal processing with practical energy systems and material science. Publication Trends: Her 23 Scopus-indexed outputs (2010-2025) demonstrate consistent innovation in motor diagnostics using wavelet transforms and neural networks, evolving toward sophisticated data fusion techniques. Recent work (2022-2025) heavily emphasizes deep learning for nanocomposite material analysis and Kalman filter applications in aging monitoring, with her 2020 nanocomposite conductivity paper accumulating 29 Scopus citations. The research shows increasing interdisciplinary collaboration and real-world validation in automotive and energy systems. Scientific Awards: No specific prizes, fellowships, or medals are documented in the provided materials. Professional recognition includes IEEE Senior Membership (2020-present) and standard IEEE Membership (2014-present), reflecting industry standing. Advising and Grants: She currently supervises one thesis in progress. As Principal Investigator, she secured two significant projects: Integrated Condition Assessment Using Kalman Filter-Based Data Fusion with Sensor Data from Different Environments and Recurrence Analysis-Assisted Aging Monitoring (TÜBİTAK, March 2024-May 2026) for advanced motor reliability Design and Development of Low Power Permanent Magnet Synchronous Motors in accordance with IE4 class (BAP, March 2018-October 2020) focusing on energy-efficient motor design Labs and Teams: Based at ITU's Ayazaga Campus, she operates within the Department of Electrical Engineering's research ecosystem, leveraging international collaborations (evidenced by global co-author networks) for projects involving electric motor diagnostics and nanocomposite analysis. Her work requires specialized facilities for motor testing, sensor data acquisition, and computational modeling, though specific lab names aren't disclosed in the text.