Dr. Burak Acar is a Research Assistant at Istanbul Technical University's Department of Electronics and Communication Engineering within the College of Engineering. His work focuses on hardware security, random number generation, and cryptographic circuit design. Specializes in FPGA-based security systems Expertise in transient effect analysis for cryptographic applications Active participant in IEEE symposia and technical committees Research interests center around hardware security and digital circuit design, with specific emphasis on: Random number generation techniques Cryptanalysis of oscillator-based systems Transient effect utilization in security applications Reconfigurable hardware implementations Digital circuit resilience against attacks Irregular sampling methodologies His research outputs from 2018-2020 demonstrate consistent contributions to IEEE conferences and journals, particularly in the areas of hardware cryptography and digital circuit security.
Oğuz Yayla is a full-time faculty member at Middle East Technical University (METU), Türkiye, active in research and graduate supervision. His scholarly output comprises 57 Web-of-Science-indexed publications, 31 peer-reviewed conference papers and numerous invited talks, with a WoS h-index of 13 and Scopus h-index of 3 (as of the latest data dump). Research Interests Algebraic and applied cryptography, including post-quantum schemes Coding theory, particularly algebraic-geometry codes and codes over rings Sequences with good correlation properties for CDMA, stream ciphers and 5G/6G applications Blockchain security, distributed consensus, and IoT-medical data integrity Hardware-oriented security: TRNG design, side-channel countermeasures on FPGA/SoC Over the past decade, his publications reveal a clear evolution from foundational work on finite fields and pseudorandom sequences toward practical cryptographic engineering, including verifiable timed signatures, threshold multi-secret sharing for blockchain storage, and FPGA-based true random number generators compliant with AIS-20/31. Scientific Awards & Recognition Consistently high citation impact: >34 WoS citations and >20 Scopus citations PlumX reader and capture metrics place him in top percentiles for cryptography outputs in Türkiye Principal investigator / senior researcher on 7 funded national projects Graduate Advising & Collaborative Grants Yayla has formally supervised 15 graduate theses (MS and PhD) in mathematics and cryptography. He leads or co-leads multiple TÜBİTAK and BAP-funded projects on post-quantum cryptography, secure IoT medical devices, and code-based cryptography. Laboratory & Teams He heads the Cryptography & Information Security Research Group at METU, where a multidisciplinary team of graduate students and post-doctoral researchers work on lattice-based cryptography, side-channel analysis, and blockchain protocol design.
Mustafa Altun is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. With an h-index of 11 and 78 research outputs, he has established himself as a prominent researcher in electronics engineering and neural network hardware implementations. His research focuses on key areas including: Nano-crossbar Arrays and Switching Lattices Logic Synthesis and Boolean Function Realization Neural Network Hardware Implementation Low-voltage Circuit Design Fault Tolerant Computing Electrodeposition for Li-ion Battery Anodes Dr. Altun's recent work demonstrates a strong emphasis on energy-efficient hardware implementations of artificial neural networks using approximate arithmetic blocks to reduce power consumption while maintaining acceptable accuracy levels. His research on silicon anode electrodeposition has explored how artificial light-induced processes can increase silicon loading for improved battery performance. These dual research directions reflect his commitment to advancing both computing hardware and energy storage technologies. His scientific achievements have been recognized with prestigious awards including the ODTÜ Mustafa N. Parlar Research Incentive Award (2022), EU H2020 Success Award (2015), and the Young Scientist Award (2020). His work has been supported by multiple projects funded by TUBITAK and SRP. Dr. Altun has supervised 16 students according to available data and has led numerous research projects focusing on novel circuit architectures for efficient computing, particularly in neural networks and fault-tolerant systems. His laboratory work continues to push the boundaries of nano-crossbar array computing and its practical applications.
Prof. Müştak Erhan Yalçın is a Professor of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a Ph.D. from Katholieke Universiteit Leuven (2004) and degrees from ITU (1997, 1993). His research focuses on nonlinear circuits, chaos theory, cellular neural networks, and embedded systems. He has authored numerous publications in top-tier journals and conferences, with recent work emphasizing secure communication, GPS spoofing detection, and chaotic systems applications. He actively contributes to the academic community through editorial roles (e.g., Associate Editor of IEEE Transactions on Circuits and Systems-II) and organizing international conferences. Notable recognitions include elevation to IEEE Senior Member (2019) and inclusion in ITU's Career-Long Impact category (2024). Education: Ph.D. in Electronics Engineering, Katholieke Universiteit Leuven, 2004 M.Sc., Istanbul Technical University, 1997 B.Sc., Istanbul Technical University, 1993 Research Interests: Nonlinear Circuits and Chaos Theory Cellular Neural Networks and Wave Computing Embedded Systems and Hardware Security Chaotic Signal Processing and Cryptography Recent Projects: TÜBİTAK-funded project on active shield design (2021) Development of GPS spoofing detection methods (2024) Secure communication systems using chaotic oscillators Grants & Awards: IEEE Senior Member (2019) Associate Editor, IEEE Transactions on Circuits and Systems-II (2020–2021) Recipient of TÜBİTAK 1505 Collaboration Program (2021) Labs & Teams: Leading research on nonlinear systems and embedded security within ITU's Electronics and Telecommunications Engineering Department, collaborating with industry partners like Aselsan.
Ahmet Cüneyd Tantuğ is an Associate Professor in the Department of Artificial Intelligence and Data Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a core faculty member since 2007 and is among the founders of the ITU Natural Language Processing Group. He has held key administrative roles, including Vice Dean (2011–2015) and Head of IT Department at ITU (2012–2020). BSc, MSc, PhD: Istanbul Technical University, Computer Engineering Guest Researcher: University of Copenhagen, Centre for Language Technology (2006–2007) Dr. Tantuğ’s research spans artificial intelligence, natural language processing, machine learning, and deep learning, with a focus on Turkish and other agglutinative languages. His work includes named entity recognition, dependency parsing, machine translation, word sense disambiguation, and text normalization. He has developed linguistic resources for Turkish and low-resource languages such as Amharic, and has contributed to financial AI and temporal expression extraction. His recent publications highlight advancements in Turkish NLP, including optimal vocabulary sizing, tokenization granularity for LLMs, and transformer-based models for named entity recognition. He has led multiple research projects funded by TÜBİTAK, the European Union, and the Ministry of Development. Scientific awards include: Bedri Karafakioğlu Special Award (2000) Siemens Excellence Award (2007) TeknoGirişim Sermaye Desteği Ödülü (2010) He has supervised numerous master’s and PhD students, with theses on topics such as dependency parsing, named entity recognition, and text normalization. He has also served as a consultant for private sector projects in banking, software, and telecommunications, and as a referee for TÜBİTAK, TEYDEB, and the Ministry of Industry and Technology. Dr. Tantuğ leads and participates in active research projects including Turkish text normalization from user-generated content and improving dependency parsing with augmented features. He is a founding member of the ITU Natural Language Processing Group, which continues to be a central hub for NLP research in Turkey.
Kadir Durak serves as Assistant Professor in Electrical and Electronics Engineering at Özyeğin University's Faculty of Engineering, specializing in quantum technologies. His research group operates within the Quantum Optics Laboratory focusing on cutting-edge quantum communication and sensing systems. Dr. Durak earned his B.Sc. in Physics from Middle East Technical University (2009) and completed his Ph.D. at National University of Singapore (2015). Following his doctorate, he led a research team at Singapore's Centre for Quantum Technologies developing space-ground quantum key distribution via CubeSat platforms. His research spans quantum cryptography, photonics, and quantum information with emphasis on: Optimization of entangled photon sources for secure communication Quantum key distribution networks (including satellite-based systems) Quantum radar and imaging technologies Single atom-photon interactions in cavity QED systems Quantum random number generation His recent publications demonstrate significant contributions to quantum security mechanisms, noise-tolerant quantum sensing, and practical quantum communication implementations. Notable scientific recognition includes: Bronze Medal for Quantum Cryptography Network invention at Istanbul International Inventions Fair (2019) Accepted publication in IOP Journal of Optics (2021) on vacuum fluctuation-based QRNG Dr. Durak actively recruits graduate students for quantum technology research through fully-funded positions offering tuition waivers, monthly stipends (5000-6000 TL), and research resources. His laboratory collaborates with defense institutions including TÜBİTAK and ASELSAN, with recent demonstrations of quantum radar and entangled photon imaging systems. Current projects focus on quantum communication networks, ultra-cold atom physics, and sub-diffraction limit imaging.
Özgür ERDAĞ is a Lecturer in the Department of Mathematics at Kafkas University, Faculty of Arts and Sciences , Turkey. His academic career began as a Research Assistant in 2020, and he was promoted to Lecturer in 2023. PhD in Mathematics, Kafkas University, Institute of Science (2017) MSc in Mathematics, Kafkas University, Institute of Science (2013–2015) BSc in Mathematics, Atatürk University, Faculty of Science (2008–2012) His research focuses on Algebra and Number Theory , particularly exploring connections between complex-type sequences (e.g., Narayana, Padovan, Pell) and their matrix-based generalizations. He investigates periodicity, finite sums, and Binet formulas of these sequences modulo m. With over 52 publications and 62 citations, Özgür has collaborated extensively with mathematicians such as Ömer Deveci and Anthony G. Shannon . His work has been presented at international conferences like the International Hazar Scientific Research Conference and Bilsel International Congress .
Muhammet Tahir Güneşer is an Associate Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). With a doctorate from Karabuk University (2015), master's from Istanbul University (2010), and bachelor's from ITU (1999), he specializes in electromagnetics, microwave engineering, and renewable energy systems. Education: Doctorate (Karabuk University, 2015), Master's (Istanbul University, 2010), Bachelor's (ITU, 1999) Research Interests span broad disciplines including: Electromagnetics Microwave Engineering Antenna Design Embedded Systems Renewable Energy Systems Wireless Communication His work focuses on microwave imaging, low-power sensor design, and energy-efficient communication systems, collaborating with ITU Electromagnetics Research Group and industry partners like Procenne Company. Key Projects include: 6G Mobility-Aware Augmented Reality Connected Drones Communication Portable Microwave Hyperthermia Devices Deep Learning for Inverse Problems He has contributed to various scientific initiatives involving ultralow-power sensors, cryptographically secure random number generators, and thermal modeling of underground cables.
Mustak Erhan Yalcin is a Professor at Istanbul Technical University within the Department of Electronics and Communication Engineering. His research spans hardware security, chaos theory, and signal processing, with a focus on FPGA-based systems, GPS spoofing detection, and image encryption. Key research areas: FPGA, neural networks, hyperchaotic systems, TRNG, GPS security. Recent publications (2023-2024) address encryption designs, spoofing detection, and radiation-tolerant hardware. Active in project leadership, including FPGA-based communication blocks and GPS security systems. Recipient of the 2016 Graduation Design and Project Awards in Electronics-Communication-Biomedical. Contact: yalcinmust@itu.edu.tr
Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.
Dr. Gökçe Yildirim serves as a Doctor Lecturer at Bingöl University's Vocational School of Technical Sciences within the Department of Machine and Metal Technologies since 2019, advancing from Lecturer (2019-2025) to her current position. Her academic foundation was built at Fırat University through sequential engineering degrees culminating in a 2024 PhD in Software Engineering. Educational background: Mechatronics Engineering BSc, Fırat University (2010-2014) Mechatronics Engineering MSc, Fırat University (2014-2017) Software Engineering PhD, Fırat University (2018-2024) Her research program centers on machine learning and optimization with distinctive expertise in chaotic-system-based random number generation . This computational focus drives interdisciplinary applications across medical diagnostics, agricultural forecasting, and gaming analytics. Recent work demonstrates sophisticated integration of nonlinear dynamics with security-critical applications, reflecting both theoretical depth and practical implementation skills. Publication analysis reveals consistent output since 2018 with accelerating international engagement. The 2023 works mark significant maturation of her research identity, particularly the Chaos, Solitons & Fractals paper establishing her innovative optimization approach for chaotic random number generators. Her portfolio shows remarkable versatility across domains while maintaining core computational methodology. Scientific recognition: No major awards documented in current records Dr. Yildirim maintains active teaching responsibilities across foundational engineering disciplines while pursuing research. Her vocational school context emphasizes practical skill development, with research directly informing curriculum design. Current publications indicate ongoing projects in secure random number generation and agricultural data mining, though specific grant details remain undisclosed. No dedicated research laboratory is documented, suggesting computational work leverages shared university resources within the vocational school's applied engineering framework.
