Find Academic Supervisors

• Computer Science
• Information Technology
• Educational Software
• +7 more

Jelena Gavrilovic is an Associate Professor at Singidunum University, affiliated with the Faculty of Informatics and Computing. Her work bridges computer science with educational technology, focusing on integrating digital tools into mathematics instruction and distance learning systems. Born: June 6, 1983, Valjevo, Serbia Education: Middle Technical PTT School (Electrical Technician, 2002), Faculty of Informatics and Computing (BSc in Programming and Design, 2007; MSc in Contemporary Information Technologies, 2011), Singidunum University (PhD in Advanced Protection Systems, 2022) Her research explores: Educational software for mathematics and distance learning Forensics of unmanned aerial vehicles (UAVs) and robotics Adaptive algorithms and optimization methods in signal processing Biometric key generation systems Recent publications analyze trends in UAV forensics, mobile robot path planning using artificial bee colony algorithms, and healthcare technology optimization. She collaborates on studies involving data analysis, cybersecurity, and interactive pedagogy, often applying computational methods to educational challenges. Her career spans over 20 years, with early work on pedagogical research and evolving contributions to IT in education and robotics.

Pedro FreitasView profile

Assistant Professor

• Criminal Law
• Criminal Procedure
• Technology and Law
• +4 more

Pedro Freitas is an Assistant Professor at the Faculty of Law, Universidade Católica Portuguesa, and a researcher at the Católica Research Centre for the Future of Law (CEID). His work bridges Criminal Law, Criminal Procedure Law, and Technology and Law , with a focus on Artificial Intelligence, Data Protection, and Cybersecurity . He holds a PhD in Public Legal Sciences (Criminal Law) from Universidade do Minho (2016), a Master’s in Judicial Law (2011), and a Law degree from the same institution (2005). His research spans topics like deepfakes, AI regulation, and digital human rights , contributing to multidisciplinary dialogues on legal technology. Recent publications, including works on the AI Act and cyberterrorism , highlight his engagement with evolving legal frameworks. He has participated in projects such as NETLANG (online discrimination analysis) and LookCrim (organized crime investigation). Pedro Freitas actively collaborates with networks in Artificial Intelligence, Human Rights, and Rule of Law .

Peter RotView profile

Researcher

• Computer Vision
• Biometrics
• Deep Learning
• +6 more

Peter Rot is a researcher at the Faculty of Computer and Information Science , University of Ljubljana, specializing in Computer Vision and Biometrics . He is affiliated with the Computer Vision Laboratory (LRV) and has contributed to privacy-enhancing technologies in biometric systems. Education: Master of Computer Science and Informatics (University of Ljubljana, 2018) with thesis on "Deep Learning Methods for Biometric Recognition Based on Eye Information" Research Focus: His work addresses soft-biometric privacy , deepfake localization , and ocular biometrics , combining deep learning and generative models to protect facial attributes while maintaining recognition accuracy. Notable projects include FaceGEN (ARRS J2-1734) and DeepBeauty (ARRS J2-2501). Publications & Trends: Recent work explores privacy-preserving face analytics , interpretable biometric templates , and gender privacy through disentangled representations . Earlier studies focused on sclera segmentation and periocular recognition . Scientific Awards: European Association for Biometrics Biometric Research Award 2024 EAB Best Presentation Award 2024 University Prešernova Award 2018 Sclera Segmentation Competition Winner 2018 Sclera Segmentation and Eye Recognition Competition Winner 2017 Projects: Currently leads the MIXBAI project (ARRS J2-50069) on explainable biometric AI (2023-2026). Past projects include FaceGEN (2019-2022) for face de-identification and DeepBeauty (2020-2023) for generative models in fashion/beauty industries.

David MendlovicView profile

Professor

• Optical interconnection networks
• Dynamic optical switches
• Temporal optics
• +15 more

Prof. David Mendlovic is a Full Professor of electro-optics at the School of Electrical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. With a career spanning decades, he has established himself as a leading figure in optical engineering and signal processing, holding significant leadership positions including head of TAU Innovation Labs and board member of the Israel Innovation Authority (IIA). His academic journey began and continued at Tel Aviv University where he earned both B.Sc. and Ph.D. degrees in Electrical Engineering. His professional trajectory includes serving as Chief Scientist of the Israeli Ministry of Science (2008-2010), Co-Chair of the German Israeli Foundation for 6 years, and Vice Dean for Research of the Faculty of Engineering for a decade. Prof. Mendlovic's research spans computational photography for miniature imaging systems, advanced 3-D sensing, AI-based image processing, authentication systems, optical bio-sensing, and deep-fake detection. His work has produced worldwide breakthroughs including hollow fibers for IR transmission, extended depth of field imaging, multi-aperture camera systems, and innovations in the fractional Fourier transform. His recent publications demonstrate continued innovation with emphasis on thermal imaging applications for precision agriculture, dynamic identity authentication, light field photography, and advanced image processing leveraging deep learning approaches across computer vision, optical engineering, and thermal imaging domains. 1998 winner of ICO International Prize in Optics Ernst Abbe Medal by Carl Zeiss Fellow of The Optical Society of America Prof. Mendlovic has successfully translated research into commercial applications through multiple startups including Civcom (acquired by Padtec S/A of Brazil) and Eyesquad (acquired by Tessera Inc, later acquired by Samsung). He has mentored numerous graduate students with thesis topics spanning optical signal processing, diffractive optical elements, and imaging systems. His laboratory work bridges theoretical developments with practical implementations across security, healthcare, agriculture, and consumer electronics applications.

Avishai WoolView profile

Professor

• Computer Security
• Network Security
• Wireless Security
• +4 more

Prof. Avishai Wool is a faculty member at Tel Aviv University, serving as Head of the Systems Department in the School of Electrical and Computer Engineering and Deputy-Director of the Interdisciplinary Cyber Research Center. He received his B.Sc. (1989), M.Sc. (1992), and Ph.D. (1997) in Mathematics/Computer Science from Tel Aviv University and the Weizmann Institute. His career includes co-founding cybersecurity companies AlgoSec and Lumeta Corp. Research Interests: His work focuses on computer security , network security , SCADA systems , side-channel cryptanalysis , and firewall technology . Recent publications explore GPU overclocking faults , vehicular radar spoofing , power grid protocol diversity , and password strength estimation . Recent Article Trends: His 2024-2025 research spans SCADA network modeling , DDoS detection via stream analysis , password security via data-driven recommendations , vehicular camera spoofing , and RSA vulnerabilities from GPU faults . Earlier work includes cache attacks on TrustZone , Wi-Fi direction finding , and encrypted IoT traffic classification . Labs & Teams: He leads the Systems Department and contributes to the Interdisciplinary Cyber Research Center, focusing on practical cybersecurity solutions for industrial systems, wireless networks, and embedded devices.

• Human Rights
• Criminal Procedure
• Judgment and Decision-Making
• +5 more

Dr. Dave van Toor is an Assistant Professor at Utrecht University's School of Law, affiliated with the Willem Pompe Institute for Criminal Law and Criminology. His academic work intersects with practical judicial experience as a Deputy Judge at both the Amsterdam Court of Appeal and Limburg Court. He also serves as an Editorial Member for EHRC Updates, providing expert commentary on European human rights cases. His research focuses on Human Rights , Criminal Procedure , Judgment and Decision-Making , and Comparative Law , with growing expertise in Neurotechnology in Criminal Justice and Digital Evidence . Van Toor examines how technological advancements impact legal procedures, particularly regarding smartphone forensics, biometric unlocking, and digital evidence admissibility. His work consistently addresses the tension between effective law enforcement and fundamental rights protection in the digital age. Recent publications (2023-2025) reveal evolving research trajectories toward neurotechnology applications in criminal justice, cross-border digital evidence challenges, and algorithmic decision-making in judicial contexts. His analysis of the EncroChat operation and European Court of Human Rights cases demonstrates methodological rigor combining doctrinal legal analysis with practical insights from his judicial work. Van Toor actively contributes to legal education innovation, as evidenced by his work on podcast-based assessment methods. His interdisciplinary approach is reflected in collaborations with neuroscientists, criminologists, and European legal scholars, particularly through projects with WODC (Netherlands Institute for the Study of Crime and Law Enforcement) and UMCU.

• Hardware Security
• Cryptographic Engineering
• Cybersecurity
• +3 more

Professor Sklavos Nikolaos serves in the Computer Hardware and Architecture Department at the University of Patras, where he leads research in hardware security and cryptographic engineering. His academic profile demonstrates deep expertise in securing embedded systems and IoT devices through innovative hardware implementations. His research spans Hardware Security , Cryptographic Engineering , Cybersecurity , Hardware Design , and Embedded Systems with particular focus on lightweight cryptography for resource-constrained environments. Current investigations include quantum-resistant security architectures, privacy-preserving e-health systems, and secure implementations for 5G/6G communications. His work bridges theoretical cryptography with practical hardware constraints, emphasizing side-channel attack resistance and energy efficiency. Analysis of his recent publications reveals strong trends in hardware-accelerated cryptography (particularly FPGA/ASIC implementations), IoT security frameworks , and privacy mechanisms for healthcare applications . Notable subfields include lightweight cryptographic standards, hardware trojan detection, and security for tinyML devices. His research consistently addresses real-world constraints like area minimization, power efficiency, and latency requirements while maintaining robust security guarantees. Professor Sklavos actively supervises doctoral, master's, and undergraduate thesis projects while teaching advanced courses in Cybersecurity, Embedded Systems, and Hardware Security. He maintains the SCYTALE research group focused on cryptographic engineering and hardware security solutions. His educational initiatives include integrating hands-on cybersecurity training for 5G/6G technologies into STEM curricula.

Can YÜZKOLLARView profile

Assistant Professor

• Image Processing
• Reversible Watermarking
• Fingerprint Recognition
• +4 more

Can Yüzükollar serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has been a lecturer since 2018 following 13 years as an expert at the university's Computer Research and Application Center (2005-2018). Education: Doctorate (2007-2018) from Sakarya University's Institute of Science/Computer and Information Engineering with thesis: "Regional based adaptive reversible image watermarking based on interpolation errors". Master's (2005-2007) from Sakarya University's Institute of Science/Computer and Information Engineering with thesis: "Fingerprint and speaker recognition using artificial neural networks". Licence (2000-2004) from Sakarya University's Faculty of Engineering/Department of Computer Engineering. Research Interests: Dr. Yüzükollar specializes in secure image processing , particularly reversible watermarking techniques using interpolation error expansion and histogram modification. His work bridges biometric security (fingerprint/speaker recognition via neural networks) and energy systems optimization , with recent expansion into deep reinforcement learning for image authentication. Core methodologies include neural networks, cryptographic hashing, and algorithmic optimization for digital media security. Publication Trends: His scholarly output reveals an evolving trajectory from foundational biometric research (2007) through intensive image security contributions (2013-2018) to contemporary interdisciplinary work in deep learning (2023) and renewable energy (2021). The 2023 deep reinforcement learning paper signifies a strategic pivot toward AI-driven image authentication, while the 2021 wind energy publication demonstrates applied optimization expertise beyond core computer engineering domains.

Ahmet ŞANSLIView profile

Lecturer

• Information Security and Cryptology
• Computer Software
• Information Systems
• +3 more

Ahmet ŞANSLI is a Lecturer at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His academic journey includes a Bachelor's in Computer Engineering (2005), Master's in Computer and Information Engineering (2007), and Doctorate from the same institute (2020). He served as Deputy Director of the Computer Research and Application Center from 2018-2023. Research Expertise: Specializes in information security, cryptology, computer software engineering, and distributed systems. Key technical domains include web programming, cloud computing (BSM 470), mobile application development (BSM 447), and graduation project supervision. Publication Focus: Research spans cybersecurity applications (smart grids, DRM systems), network simulation tools, digital literacy studies, and biometric security. Recent works emphasize large-scale network analysis and critical infrastructure protection. Administrative & Projects: Deputy Director: Computer Research Center (2018-2023) Board Member: Distance Education Center (2022) Research projects: Real-time Ethernet protocol optimization (2010-2011)

• Authentication
• Behavioral Biometrics
• Keystroke Dynamics
• +6 more

Patrick Bours is a Professor at the Department for Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) . He holds a PhD in Discrete Mathematics from Eindhoven University of Technology (1994) and previously worked at the Netherlands National Communication Security Agency (NLNCSA) for 10 years. Bours specializes in authentication and behavioral biometrics , with a focus on keystroke dynamics , gait recognition , and continuous authentication . His recent research includes: Early online grooming detection via chat analysis and social interaction modeling Contract cheating detection in academic settings LLM usage in cybersecurity research Holds a permanent email address at NTNU: patrick.bours@ntnu.no . No scientific awards mentioned in the text.

• Information Security
• Cybersecurity
• System Administration
• +7 more

Erik Hjelmås is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) campus in Gjøvik. He has been employed at NTNU (formerly HiG) since 1996 and currently serves as the study program manager for the Bachelor in Digital Infrastructure and Cybersecurity program. His educational background includes: Cand.mag (1994) in computer science from Hedmark District University College and mathematics from Telemark District University College M.Sc. (1996) in information science with a specialization in artificial intelligence from University of Pittsburgh Dr. scient. (2005) in computer science with a thesis in facial recognition from University of Oslo Hjelmås has extensive expertise spanning information security, system administration, and digital infrastructure. His primary research interests include Information Security, Cybersecurity, System Administration, Facial Recognition, Data Security, Cloud Computing, Virtualization, Automation, Data Storage/Retrieval, and Network Security. His work bridges theoretical research with practical applications in cybersecurity education and infrastructure management, with particular focus on integrating security practices into system administration workflows and developing comprehensive cybersecurity curricula. His publication record demonstrates an evolution from early work on facial recognition algorithms (2001-2006), to more contemporary research on cybersecurity education, digital forensics, and information assurance in system administration. The recent publications particularly address practical cybersecurity challenges in higher education institutions, password policies, and professional community building within digital infrastructure. Hjelmås plays a central role in building the professional community within digital infrastructure/IT operations and information security/cybersecurity at NTNU campus Gjøvik. He teaches core courses including 'Operating systems' and 'Infrastructure: secure basic services' and has previously taught Infrastructure as Code, system administration, data communication and network security, computer system security, artificial intelligence, IT for teachers and computer engineering.

MEHMET MERKEPÇİView profile

Assistant Professor

• Cryptography
• Artificial Neural Networks
• Biomedical Engineering
• +2 more

Mehmet Merkepçi serves as an Assistant Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, Turkey. Holding a Doctorate in Electrical and Electronic Engineering (2017), he has maintained continuous academic affiliation with the university since 2007 through progressive roles from Research Assistant to his current position. Academic Background: Doctorate (2017): Gaziantep University, Institute of Science, Electrical and Electronic Engineering Master's (2009): Gaziantep University, Institute of Science, Electrical and Electronics Engineering Bachelor's (2000): Karadeniz Technical University, Faculty of Engineering, Electrical-Electronic Engineering Merkepçi's research demonstrates exceptional interdisciplinary breadth with core emphasis on Cryptography and Artificial Neural Networks . His recent work pioneers neutrosophic number theory applications in public key cryptography, significantly advancing RSA and El Gamal algorithms. Parallel research trajectories include biomedical signal processing using photoplethysmography for non-invasive monitoring systems, and textile engineering innovations in fabric porosity and air permeability analysis. This multifaceted approach bridges theoretical mathematics with practical engineering solutions across diverse domains. Publication analysis reveals 10 journal articles concentrated in 2022-2025, with cryptographic research constituting 60% of recent output. The remaining publications demonstrate sustained engagement in biomedical engineering (20%) and textile science (20%), indicating strategic diversification while maintaining cryptographic expertise as the research cornerstone. This distribution reflects deliberate specialization in security-critical applications alongside targeted explorations of neural network implementations in physical systems. Merkepçi teaches advanced courses including Security Engineering and Occupational Safety at graduate level, and foundational undergraduate instruction in Computer Programming, Database Management, and Engineering Mechanics. His administrative service includes Department Vice Chairman (2020-present) and former Department Head (2020-2024), demonstrating institutional leadership alongside research and teaching responsibilities.

• Security
• Privacy
• Network Security
• +3 more

Kotzanikolaou Panagiotis serves as an Associate Professor specializing in Security and Privacy of New Generation Networks at the Department of Informatics, University of Piraeus, where he also directs the Department's Security Laboratory. With a strong academic foundation including a degree in Informatics and a PhD in information systems security, both from the University of Piraeus, he has established himself as a leading expert in network security and privacy domains. University of Piraeus - BSc in Informatics University of Piraeus - PhD in Information Systems Security Professor Kotzanikolaou's research focuses on the critical intersection of security and privacy within next-generation communication networks. His work addresses fundamental challenges in securing modern network infrastructures against evolving threats while preserving user privacy. He has developed expertise in cryptographic techniques, authentication mechanisms, and security protocols specifically designed for emerging network technologies including 5G, IoT, and edge computing environments. His research approach combines theoretical rigor with practical implementation considerations, ensuring relevance to real-world security challenges faced by communication systems today. Analysis of his publication record reveals a consistent focus on addressing security challenges in evolving network technologies, with increasing attention to AI-driven security solutions, quantum-resistant cryptography, and privacy-preserving techniques for distributed systems. His work demonstrates a progression from traditional network security approaches to more sophisticated methods addressing the unique challenges posed by next-generation networks, including 5G infrastructure, IoT ecosystems, and edge computing environments. CISSP (Certified Information Systems Security Professional) ISO 27001 Lead Auditor certification Professor Kotzanikolaou actively participates in research and development projects for both public and private sector entities in the field of Information and Communication Systems Security. He serves on organizing committees for international conferences and contributes as a guest editor and reviewer for prominent scientific journals in security. His professional engagement extends to practical applications through previous work as a Special Scientist at the Communications Privacy Assurance Authority (ADAE) and as a systems security consultant in the private sector. As director of the Department's Security Laboratory at the University of Piraeus, he leads research initiatives focused on cutting-edge security challenges in modern communication networks. The laboratory serves as a hub for collaborative research involving academic researchers, industry partners, and government agencies working together to develop innovative security solutions for next-generation network infrastructures.

Jiankun HuView profile

Professor

• Cyber Security
• Intrusion Detection
• Applied Cryptography
• +16 more

Professor Jiankun Hu is an IEEE Fellow and full professor of Cyber Security at the School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Australia. His primary research focuses on computer networking and security, particularly biometric security and cybersecurity applications. Professor Hu earned his Bachelor's degree in industrial automation in 1983 from Hunan University, China, followed by a PhD in engineering in 1993 from Harbin Institute of Technology, China. He completed a Master's degree in computer science and software engineering from Monash University, Australia in 2000. His postdoctoral work includes research at Harbin Shipbuilding College (1995), Ruhr University in Germany as an Alexander von Humboldt Foundation fellow (1995-1997), and Delft University of Technology in the Netherlands (1997). His research spans multiple domains including cybersecurity, biometrics, image processing, and artificial intelligence. Key areas include intrusion detection systems, applied cryptography, network security, biometrics security, image and video processing, and machine learning applications. He has made significant contributions to fingerprint recognition systems, privacy-preserving biometric authentication, and cybersecurity for smart grids. Professor Hu's recent publications demonstrate a strong focus on privacy-preserving technologies for biometric systems, blockchain security, smart grid protection, and advanced machine learning applications for cybersecurity. His work bridges theoretical advances with practical implementations in real-world systems, particularly in securing critical infrastructure and developing robust biometric authentication methods. He has received significant recognition including IEEE Fellow status and has been awarded ten Australian Research Council Grants. He has served in editorial roles for prestigious journals including IEEE TIFS (as Senior Area Editor), Journal of Security and Communication Networks, KSII TIIS, IET CPS, and IEEE OJCS. Professor Hu has held leadership positions in major conferences, serving as Security Symposium Co-Chair for IEEE GLOBECOM '08 and IEEE ICC '09, and Program Co-Chair of the 2008 International Symposium on Computer Science and its Applications. He maintains an active research program with numerous publications across top-tier venues.

Hanif UllahView profile

Lecturer

• Artificial Intelligence
• Cybersecurity
• Blockchain Technology
• +8 more

Hanif Ullah is a current Lecturer in Computing Science at the School of Computing , Faculty of Computing, Engineering and the Built Environment, Ulster University , Belfast campus. His research focuses on Artificial Intelligence , Cybersecurity , Blockchain Technology , and applications in Health Informatics and UAV (Drone) Communication . Research Interests span AI-driven intrusion detection, blockchain for IoT security, 5G networks, and UAV-based communication solutions. His work addresses critical areas like Industry 4.0 threat management , healthcare device security , and fetal ultrasound interpretation using deep learning. His recent publications include AI-enhanced intrusion detection in smart grids, ontological frameworks for medical imaging, and Fetal-Net for prenatal care. His work also explores UAV applications for disaster recovery and 5G security simulations.