Mustak E. Yalcin is a Professor in the Department of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a PhD from Katholieke Universiteit Leuven (2004), an MSc from ITU (1997), and a BSc from ITU (1993). His research focuses on nonlinear dynamics, chaos theory, FPGA-based systems, and secure communication. He has been elevated to IEEE Senior Member (2019) and serves as an Associate Editor for multiple journals, including the International Journal of Bifurcation and Chaos and SpringerBriefs in Nonlinear Circuits. His work spans applications in cryptographic systems, cellular neural networks, and hardware security. Notable contributions include FPGA implementations of hyperchaotic systems for medical image encryption, and designs for GPS spoofing detection. He leads projects on sensor-based navigation systems, smart weighing technologies, and energy-efficient embedded systems. Recent activities include chairing tracks at IEEE conferences and organizing events like FOSSistanbul. His lab actively explores wave computing, memristor-based networks, and bio-inspired algorithms for odor classification. Current projects include the design of fault-tolerant cryptographic hardware and real-time spectrum analyzers.
Esin YAVUZ is a Lecturer at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Suleyman Demirel University. Her research focuses on network systems, smart classrooms, and telecommunication infrastructure, with notable contributions in cognitive radio, control systems optimization, and medical monitoring systems. She holds a PhD in Physics (2018) and has authored multiple peer-reviewed publications since 2004. Education: Bachelor of Electronics and Communications Engineering, Suleyman Demirel University (2000) Master of Electronics and Communications Engineering (with thesis), Suleyman Demirel University (2004) Doctorate in Physics, Suleyman Demirel University (2018) Research Interests: Development of efficient spectrum management techniques using cognitive radio technologies Optimization of real-time communication protocols in control systems via artificial neural networks Design of cost-effective telemedicine systems for elderly and disabled populations Analysis of RF energy effects on human tissue using phantom models Implementation of secure metro Ethernet networks with firewall applications Quality-of-service parameters in videoconferencing systems for smart classrooms Publication Trends: Recent work emphasizes IoT-enabled healthcare systems (2016-2024), cognitive radio networks (2024), and control system optimization (2018). Earlier contributions (2004-2006) focused on VoIP quality and videoconferencing infrastructure. All publications demonstrate strong alignment with telecommunication and biomedical engineering domains. Labs/Teams: Active in university's Network Systems Lab and Cisco Network Academy initiatives, though specific team names aren't explicitly mentioned in the provided materials.
Deniz Turgay Altılar is a Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He has been an active academic since 1988, progressing from Research Assistant to Associate Professor in 2013 and later achieving the rank of Professor. His work is centered on distributed systems, cloud computing, and computer networks, with expanding interests in AI applications for agriculture and healthcare. Education Bachelor of Science, Control and Computer Engineering, Istanbul Technical University (1984–1988) Master of Science, Computer Engineering, Istanbul Technical University (1988–1992) Research experience at Queen Mary and Westfield College, University of London (1998–2002) His research interests include parallel and distributed systems, cloud computing, secure computation, deep learning, and cybersecurity. He applies these to interdisciplinary domains such as corn yield prediction, radar identification, and medical diagnostics using ECG signals. His recent work emphasizes efficient and secure AI systems. The publication trends show a strong focus on distributed deep learning, straggler mitigation, secure multiparty computation, and hardware-based attack detection. His work bridges theoretical computer science with real-world applications in agriculture, medicine, and national security. Recent articles highlight innovation in lightweight AI models, privacy-preserving computation, and cross-layer system design. Scientific Awards No specific awards are mentioned in the provided text. He actively supervises students and leads major research projects, including those on cache side-channel attacks in multi-tenant clouds, distributed OpenCL platforms, real-time scheduling, and molecular communication in nano-networks. These projects reflect sustained external funding and leadership in cutting-edge computing domains. His research group collaborates across disciplines and institutions, contributing to both national and international scientific communities. Labs and Teams : While not explicitly named, his role as Principal Investigator on multiple projects suggests leadership in a research lab focused on distributed systems, cybersecurity, and applied AI at ITU.
Hatice Köse is a Professor at Istanbul Technical University in the Department of Artificial Intelligence and Data Engineering within the College of Computer and Informatics. She holds a PhD in Computer Engineering from Boğaziçi University and has been a key figure in advancing AI applications for human-centered technologies, particularly in assistive robotics and human-computer interaction. PhD in Computer Engineering, Boğaziçi University (2000–2007) MSc in Computer Engineering, Boğaziçi University (1997–2000) BSc in Computer Engineering, Boğaziçi University (1993–1997) Her research focuses on Artificial Intelligence , Human-Robot Interaction , and Assistive Technologies , with a strong emphasis on applications for children with autism and hearing impairments. She explores affective computing, emotion recognition using facial and physiological signals, and multimodal interaction frameworks. Her work integrates deep learning, signal processing, and robotics to develop inclusive technologies. Recent publications highlight trends in lightweight AI models for edge devices , gaze and emotion detection in children , and explainable machine learning in medical diagnosis . Her articles span top venues in AI, robotics, and multimodal interaction, reflecting a consistent focus on socially beneficial AI systems. EELISA Project Diversity Reward (2023) Best Paper Award, INISTA 2020 İTÜARI Teknokent Graduation Design Project Competition (2016) Necdet Eraslan Project Competition Honorable Mention (2011) Professor Köse has led numerous research projects funded by TÜBİTAK, EU, and university programs, including initiatives on AI-enabled manufacturing, teaching technologies to children with neurodevelopmental disorders, and sensor-based digital biomarkers for early detection. She has supervised multiple graduate students and research assistants, contributing to the development of next-generation AI researchers. She has also held administrative leadership roles such as Department Head and Education Coordinator. She is actively involved in research labs and teams focusing on socially assistive robotics , affective computing , and AI for accessibility , fostering interdisciplinary collaboration across computer science, psychology, and education.
Brian Nielsen is an Associate Professor at the Department of Computer Science, Aalborg University, under the Technical Faculty of IT and Design. His research focuses on Cyber-Physical Systems, Distributed Systems, and Intelligent Systems, with a particular emphasis on energy-efficient design and distributed reachability analysis. Research Interests: Cyber-Physical Systems, Distributed Systems, Embedded Systems, Intelligent Systems, Model-Based Design, Optimization Supervision: Supervised PhD theses on topics related to energy efficiency (2024) and time/cost optimization (2016) Contact: bnielsen@cs.aau.dk | Personal Website
Umut Başaran currently serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Özyeğin University's Faculty of Engineering. He holds a PhD from Universität Stuttgart (2007), an MSc from Universität Kassel (2001), and a BSc from Yıldız Technical University (1998) in Electrical/Electronics and Communication Engineering disciplines. PhD: Electrical and Electronics Engineering, Universität Stuttgart, Germany (2007) MSc: Electrical and Electronics Engineering, Universität Kassel, Germany (2001) BSc: Electronics and Communication Engineering, Yıldız Technical University (1998) His research focuses on circuit design and embedded software development for automotive applications , with specific expertise in integrated circuit design and transistor modeling for communication circuits. Throughout his career, Başaran has worked with international technology giants including: Intel Corporation (Germany) Infineon Technologies (Germany) AVL List GmbH (Austria-based automotive R&D) Arçelik (Turkey, smart home sensor projects) He has contributed to significant R&D projects funded by the European Union and major industry partners, resulting in four international patents in circuit design and embedded systems technologies.
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
Erkan Alkan is a Lecturer at Gaziantep University's Technical Sciences Vocational School in the Construction Technology Pr. department. His work bridges hydraulic engineering with smart city innovations. Education: B.Sc. in Civil Engineering (2008-2013) from Gaziantep University Advanced degree in Hydraulic Department from Hasan Kalyoncu University Research focuses on hydrokinetic energy systems , fluid mechanics , and smart urban infrastructure . His work includes computational analysis of turbine designs and optimization of municipal systems. Key publication trends: 5/7 articles center on hydrokinetic turbine optimization (2025), 2/7 on smart city applications . Topics span from renewable energy extraction to urban logistics. Scientific recognition: TÜBİTAK scholarship holder for flood risk mapping projects Projects: Lead researcher on 2019-2022 helical hydrokinetic turbine optimization project Contributed to national flood risk database standardization
Professor Sema Kayhan is a faculty member at Gaziantep University , Faculty of Engineering , Department of Electrical and Electronic Engineering . She has held the academic rank of Professor since 2021, after progressing from Associate Professor (2016-2021) and Assistant Professor (2007-2015). Her career began at Gaziantep University as a Research Assistant (1996-2005) and includes administrative roles as Vice Head of Department (2013-2015). Doctorate: 1999-2005, Gaziantep University Institute of Science, Electrical and Electronic Engineering Degree: 1996-1999, Gaziantep University Faculty of Engineering, Electrical and Electronic Engineering & Computer Science Licence: 1991-1996, Gaziantep University Faculty of Engineering, Electrical and Electronics Engineering (English) Her research spans Image Processing , Compressive Sensing , Machine Learning , and Biomedical Signal Processing , with notable contributions to ECG signal reconstruction , chaotic encryption , and FPGA-based hardware acceleration . She has supervised 23 theses, including PhD works on hybrid deep learning for schizophrenia detection , sparse extreme learning machines , and smart home solar energy systems . Her 15 most recent publications (2015-2022) demonstrate expertise in image watermarking , encryption , antenna design , and ECG signal processing , often leveraging chaos theory , extreme learning machines , and FPGA implementations . She has also contributed to NLP for Arabic-alphabet languages and retinal blood vessel segmentation via transfer learning. Professor Kayhan's projects include renewing jacquard control systems (2007-2008) and ECG signal reconstruction via compressive sensing on FPGA (2016-2017). She co-designed a smart home model using solar energy (2017) and has been a Member of the Chamber of Electrical Engineers since 1997.
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.
Prof. Hasan BULUT is a full-time faculty member at Ege University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His primary research focuses on software engineering, parallel algorithms, computer networks, artificial intelligence, and algorithm design. He has contributed to fields like distributed systems, data structures, and bioinformatics through innovative algorithmic solutions. His academic work spans over two decades, with notable contributions to machine learning applications in energy forecasting, DNA sequence analysis, and cloud computing optimization. Key areas of expertise include hybrid machine translation models, real-time data clustering, and optimization techniques for computational problems. Prof. BULUT's recent publications emphasize interdisciplinary approaches, combining deep learning with traditional methods to solve challenges in healthcare informatics, financial prediction, and bioengineering. His work on network slicing techniques for 5G and beyond networks highlights cutting-edge contributions to modern communication systems. Despite an extensive publication record and collaborations within Ege University, no formal scientific awards or grant information is explicitly mentioned in the provided texts. His academic career includes supervising numerous research projects but specific student advisee details are not documented here.
Dr. Thomas Reitz is a Guest Scientist at the Department of Soil Ecology, UFZ-Centre for Environmental Research Leipzig-Halle, and since 2025 has served as Scientific Leader of the Crop Research Unit at the Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg (MLU). His research focuses on soil microbial communities in the context of global change, land use, and plant-microbe interactions. He is actively involved in large-scale experimental platforms such as the Global Change Experimental Facility (GCEF) and the APPLE analytical pipeline. Ph.D. in Applied Natural Sciences, Helmholtz-Centre Dresden-Rossendorf / TU Bergakademie Freiberg (2011) Diploma in Biology (Microbiology), TU Dresden (2006) Dr. Reitz’s research interests center on the structure and function of soil microbial communities, their adaptation to environmental stressors (drought, heavy metals, pathogens), and their role in terrestrial carbon and nutrient cycles. He investigates how the soil microbiome contributes to plant growth and stress resistance, integrating molecular, biochemical, and ecological techniques. His work spans microbial community analyses, enzyme assays, and spectroscopic methods. The recent publications highlight a strong focus on soil-plant-microbe interactions under global change conditions, including climate manipulation, land-use intensity, fertilization regimes, and drought stress. Key themes include nutrient cycling, microbial resilience, synthetic microbial communities, phytoremediation, and sustainable agricultural practices. The studies employ experimental field and lab platforms, often involving long-term monitoring and meta-analyses. Dr. Reitz has no listed scientific awards in the provided text. He contributes to research coordination, particularly in third-party funded projects, and mentors collaborative research efforts. His work is embedded in national and international consortia, including the German Centre for Integrative Biodiversity Research (iDiv). He collaborates extensively across disciplines and institutions, contributing to large-scale ecological experiments and analytical developments. He is involved in major research platforms: the Global Change Experimental Facility (GCEF), where he coordinates third-party funding; the APPLE pipeline for soil eco-indicators; and the PhytOakmeter network. These platforms support integrative research on soil functions, microbial dynamics, and ecosystem responses to environmental change.
Cem Taşkın is an Assistant Professor at the Department of Computer Engineering, Trakya University, and has served as Department Head since January 2023. Previously, he was Assistant Professor at Tunca Vocational School (2011-2014) and held administrative roles as School Director (2013-2017) and Deputy Director (2012-2013). He earned his PhD in Computer Engineering from Trakya University in 2010. High School: Kırklareli Anatolian High School (1999) Bachelor's: Trakya University, Computer Engineering (2003) Master's: Trakya University, Computer Engineering (2006) PhD: Trakya University, Computer Engineering (2010) His research focuses on Computer Engineering , Multimedia Security , and Embedded Systems , with a strong emphasis on encryption techniques for MPEG video streams and mobile/web application development. Recent work includes applying interactive mobile applications for pediatric chemotherapy treatment (2022) and optimizing embedded systems as dashboards (2016). Publication trends reveal expertise in video encryption (I-frames, byte alignment, XOR operations), chaotic algorithms for sound data security, and software development for educational and administrative systems. His work bridges theoretical cryptography with practical implementations in multimedia and embedded environments. Supervised Master's Theses: Altuğ Yiğit - Human Insight in Business Processes with Deep Learning Temel Yavuz - Corporate Content-Information Management Systems Murat Emre Yücel - Text Classification with Active Learning Projects: Led initiatives at Trakya University on mobile application development laboratories (2016), campus automation systems (2016), and MPEG audio querying (2008). Participated in KOSGEB's R&D Innovation Project for Dream Cash Register/Barkot Systems (2012).
Dr. Erke Arıbaş is a Lecturer at Istanbul Technical University's Faculty of Computer and Informatics , specializing in the Department of Computer Engineering . His research spans interdisciplinary domains including artificial intelligence, simulation modeling, and biophysics applications. Education: PhD in Computational Science and Engineering (2001-2013), Istanbul Technical University MA in Information Systems Design and Management (2001), Istanbul Technical University (Evening Education) BS in Physics (1992-1996), Istanbul Technical University BS in Physics (1996-2000), University of Missouri-Rolla His research focuses on generative AI applications , autonomous systems , and multi-phase flow simulations with thermal modeling. He has contributed to fields ranging from smart city cybersecurity to biomechanical modeling of blood flow. Article trends show expertise in AI-personality modeling integration , unmanned aerial vehicle design , and biofluid dynamics with specialized focus on red blood cell aggregation and arterial hemodynamics.
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.
