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Fayez GebaliView profile

Professor

• Computer Communications
• Digital VLSI Design
• Digital Signal Processing
• +10 more

Dr. Fayez Gebali is a Professor in the Department of Electrical and Computer Engineering at the University of Victoria. He holds a BSc from Cairo University, another BSc from Ain Shams University, and a PhD from the University of British Columbia. His research focuses on computer communications, digital VLSI design, signal processing, and cybersecurity. He is particularly known for contributions to networks-on-chips, hybrid communication systems (e.g., FSO/RF), and cryptographic solutions for IoT devices. Education: BSc, Cairo University BSc, Ain Shams University PhD, University of British Columbia His research interests span computer architecture , communication networks , and secure embedded systems . Recent work emphasizes digital health applications, including AI-driven medical imaging (e.g., TongueTransUNet for tongue contour segmentation) and zero-trust frameworks for healthcare data protection (ZTCloudGuard). He has also published extensively on IoT security, cryptographic algorithms, and hardware acceleration techniques. Notable contributions include pioneering work on networks-on-chips (NoC) optimization, hybrid FSO/RF transmission systems, and efficient modular multipliers for constrained devices. His publications cover over 15 years of impactful research, with a focus on bridging theoretical advancements and practical implementations in high-performance computing and cybersecurity.

• Artificial Intelligence
• Multi-Agent Systems
• Privacy and Security
• +3 more

Arthur Jakobsson is a Course Instructor at the Computer Science Department of Carnegie Mellon University. His research focuses on multi-agent systems, privacy and security, and AI applications in robotics. He has contributed to improving pathfinding algorithms for autonomous systems and developing techniques to combat deepfakes and communication risks. Recent publications highlight his work on imitation learning for multi-agent pathfinding (MAPF), heuristic search enhancements, and AI-assisted methods for detecting deepfake audio. His privacy research includes permission management frameworks and mitigating tracking risks in digital communications. He holds a strong interest in cybersecurity applications of machine learning. No academic awards or grants were explicitly mentioned in the provided materials. Advising relationships remain unreported in the current dataset. His work bridges theoretical computer science with practical security implementations in autonomous systems.

Qiben YanView profile

Associate Professor

• AI Security
• Blockchain System Security
• Mobile and IoT Security
• +5 more

Qiben Yan is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University (MSU), leading the Secure and Intelligent Things (SEIT) Lab. He holds a Ph.D. from Virginia Tech and has prior experience as an Assistant Professor at the University of Nebraska-Lincoln and as a security researcher at Shape Security, where he contributed to the development of the pioneering 'botwall.' His research focuses on AI Security, Blockchain, IoT/Mobile Security, and Wireless Communication Security. He serves as an Associate Editor for IEEE Transactions on Information Forensics and Security (TIFS) and has been recognized with prestigious awards such as the NSF CRII Award (2016), ACM SenSys Best Paper Award (2021), and IEEE SECON Best Paper Award (2020). Educations: Ph.D. in Computer Science, Virginia Tech His research interests span adversarial machine learning, AI-driven cybersecurity solutions, blockchain system integrity, and privacy-preserving technologies. Recent work includes frameworks for decentralized carbon footprint tracking, defenses against adversarial attacks in autonomous systems, and LLM customization for moving target defense. His research has been supported by NSF (CPS, SaTC, NeTS, SpecEES), DoE, Ford, and Cisco. Awards: ACM CCS Best Paper Honorable Mention (2022) ACM SenSys Best Paper Award (2021) IEEE SECON Best Paper Award (2020) NSF CRII Award (2016) UNL Teaching Awards (2015, 2017) Grants and Labs: Lead researcher at SEIT Lab Funding from NSF, DoE, Industry Partners (Ford, Cisco) His lab explores cutting-edge topics like AI security, IoT privacy, and cyber-physical system defenses, with findings featured in BBC Radio, Scientific American, and Forbes.

• Smart Grid Security
• Privacy-Preserving Techniques
• Federated Learning
• +5 more

Mohamed I. Ibrahem is an active academic researcher specializing in cybersecurity applications for smart grid infrastructure and Internet of Things systems. His work bridges computer science, electrical engineering, and artificial intelligence with a particular focus on privacy-preserving techniques and secure machine learning applications. Dr. Ibrahem's research interests center on smart grid security , where he has developed innovative approaches for electricity theft detection, false data injection prevention, and privacy-preserving monitoring systems. His work in federated learning security addresses critical vulnerabilities in distributed machine learning systems, particularly against Trojan attacks and evasion techniques. Additional research areas include explainable AI applications in healthcare diagnostics, IoT security mechanisms, and deep learning optimization for resource-constrained environments. His recent publication trends reveal a growing emphasis on practical security implementations for real-world energy infrastructure, with increasing attention to explainability and robustness in AI-driven security systems. The interdisciplinary nature of his work connects cybersecurity principles with specific domain challenges in power systems and healthcare applications. Dr. Ibrahem has secured research funding for multiple projects focused on smart grid protection systems and privacy-preserving machine learning frameworks, though specific grant details are not visible in the publication metadata. His collaborative research network spans multiple international institutions with strong connections to Middle Eastern universities.

• Cybersecurity
• Cloud Computing
• Software Engineering
• +5 more

Lothar Fritsch is a Professor at the Department of Computer Science , Oslo Metropolitan University , specializing in Applied Cybersecurity . His work bridges academic research and practical implementation in privacy technology, identity management, and cyber defense. Key research areas: Cybersecurity, Cloud Computing, Privacy Risk Assessment, AI in Security, Internet of Things Teaching: Network Security, Privacy by Design, IoT Security Recent publications focus on privacy impact assessment, AI-powered attack modeling, thermographic authentication defenses, and medical data harm modeling. His work addresses both technical and societal aspects of cybersecurity, including ethics in AI and digital identity systems. Collaborations span industry, public organizations, and Nordic AI research networks. He maintains a blog on information security in education and research at OsloMET.

Sile O'ModhrainView profile

Professor

• Human-Computer Interaction
• Haptics
• Auditory Feedback
• +4 more

Sile O'Modhrain is a Professor in Performing Arts Technology at the School of Music, Theatre and Dance at the University of Michigan. She earned her Master's in Music Technology from the University of York and her PhD from Stanford University's Center for Computer Research in Music and Acoustics (CCRMA). From 2001-2005, she directed the Palpable Machines group at Media Lab Europe and previously taught at Queens University Belfast's Sonic Arts Research Centre. Education Master's, Music Technology - University of York PhD - Stanford University (CCRMA) Her research focuses on Human-Computer Interaction , particularly haptic and auditory feedback in interfaces for blind users, handheld devices, and musical instruments. She has developed projects like Holy Braille (microfluidic tactile arrays), Mesh (haptic backpacks), and EpipE (electronic woodwind controllers). Her work often bridges accessibility , mobile hardware , and music technology . Recent publications emphasize refreshable tactile displays , cross-modal interaction , and haptic teleoperation . Her research has been funded by the National Science Foundation (Award #1319922). Scientific Awards Fulbright Scholarship (1994) Best Paper Award at European Conference on Interactive Television (2003) She has collaborated with researchers like Alex Russamanno , Ian Oakley , and Georg Essl . Her career also includes prior work as a sound engineer/producer for BBC Network Radio.

Seref SagirogluView profile

Professor

• Information Security
• Big Data Analytics
• Cyber Security
• +7 more

Professor Seref Sagiroglu is a distinguished academic at Gazi University's Department of Computer Engineering, where he serves as a Professor in Software Engineering. With an extensive career spanning several decades, he has established himself as a leading expert in information security, big data analytics, and cyber security, with an h-index of 29, i10-index of 65, and over 3300 citations. His educational background includes: Undergraduate degree in Electronics Engineering from Erciyes University (1987) Doctoral studies completed at University of Wales College of Cardiff (now Cardiff University) (1994) Prof. Sagiroglu's research spans multiple cutting-edge domains with significant practical applications. He has pioneered work in information security systems, big data analytics for smart infrastructure, cyber defense mechanisms, and biometric authentication technologies. His research bridges theoretical foundations with real-world implementations, particularly in national security contexts and critical infrastructure protection. His work on open data initiatives and cyber terrorism prevention has gained international recognition through numerous conferences he has organized. Professional leadership and recognition: Founding member of Information Security Association (BGD), Turkish Science Research Foundation (TÜBAV), and Foundation of the People Caring for the Future (GÖNDER) Active member of IEEE, ISACA, and TBD professional organizations President of IPv6 Council Turkey and member of IEEE Biometric Task Force Editor of International Journal of Information Security Science and International Journal of Information Security Engineering Research funding and project leadership: Principal investigator for TUBITAK-funded national research projects Coordinator of European Union collaborative research initiatives Industry partnerships with multiple technology sectors University BAP Unit projects focused on cyber security applications He directs the Big Data Center at Gazi University (www.bigdatacenter.gazi.edu.tr) and has organized over 50 international conferences including the International Conference on Information Security and Cryptology and IEEE International Conference on Computer Science and Engineering. His laboratory initiatives focus on practical applications of big data analytics for security and smart grid systems.

• Human-Computer Interaction
• Embedded Systems
• Computer Engineering
• +3 more

Ferhat Toslak is a full-time Lecturer in the Department of Computer Technologies at Kırşehir Ahi Evran University 's Vocational School of Technical Sciences . His academic work spans embedded systems, human-computer interaction, and security technologies. Education: Bachelor's in Electronics and Computer Education (Süleyman Demirel University, 2010) MSc in Computer Engineering (İnönü University, 2019) Bachelor's in Visual Communication Design (Anadolu University, 2023) Research interests include embedded systems for medical and security applications, human-computer interaction in IoT environments, and renewable energy automation. His publications demonstrate technical expertise in microcontroller-based systems and interdisciplinary applications. Professional activities feature 4 funded research projects and 2 intellectual properties. Collaborations include researchers from Sakarya University, İnönü University, and Bandırma Onyedi Eylül University. He teaches foundational courses in database systems, sensor technology, and microcontrollers.

Mona AbdelgayedView profile

Lecturer

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

Mona Abdelgayed is a Lecturer in Computer Science and Applied Computing at the School of Computing and Digital Media, London Metropolitan University. She holds a PhD in Computer Science from the National University of Singapore (NUS), an MSc in Communication and Information Technology, and a BSc in Computer Science from Egypt. Her career combines teaching and research, with prior roles as a Teaching Assistant at NUS and in Egypt. Education PhD in Computer Science, National University of Singapore MSc in Communication and Information Technology, Egypt BSc in Computer Science, Egypt Research Interests Mona focuses on Computer Vision , Machine Learning , and Deep Learning , particularly in Image/Video Processing for segmentation, tracking, and classification using biometrics. Her work spans interdisciplinary applications in Medical Imaging , Cybersecurity , and Cognitive Science , exploring intersections with psychology and human perception. Scientific Awards Leading, Educating and Nurturing Talent (TALENT) Award - A*STAR, Singapore (2018) SINGAPORE INTERNATIONAL GRADUATE AWARD (SINGA) (2015) Third Prize in Microsoft Imagine Cup Software Design, Egypt (2008) Distinguished Participation in Microsoft Imagine Cup, Egypt (2009) Top-Ranked Undergraduate Student Award, Minister of State for Military Production, Egypt (2009) Advising and Grants Mona supervises undergraduate, MSc, and PhD dissertations. She has been part of the AI and Data Science Research Group and Cyber Security Research Centre at London Met. Her funded projects include the SINGA scholarship (2015) and the A*STAR TALENT award (2018), supporting interdisciplinary research in computer vision and machine learning.

• Supercapacitors
• Lithium Ion Batteries
• Aluminum-Ion Batteries
• +4 more

Dr. Nicklas Blomquist is a Senior Lecturer at Mid Sweden University's Department of Engineering, Mathematics and Subject Didactics (IMD). He serves as a researcher in Energy Materials and project manager for DRIVE, focusing on the electricity grid of the future. His affiliations include the FSCN Research Centre and technical physics disciplines. Doctoral degree in Engineering Physics from Mid Sweden University (2017-2019) Industrial Doctoral student at STT Emtec AB (2013-2016) MSc in Engineering Physics from Mid Sweden University (2007-2012) Blomquist's research spans energy storage systems including supercapacitors, lithium-ion batteries, and aluminum-ion batteries. He specializes in graphene production, large-scale electrode coating, and nanomaterials for electric vehicles. His work emphasizes scalable manufacturing and sustainable paper-based energy solutions. Key publication trends show consistent contributions (2014-2025) to metal-free supercapacitors, cellulose-based triboelectric generators, and nanographite composites. Collaborative work with researchers like H. Olin and C. Dahlström spans multiple institutions. IMPHET - Advanced Materials and Processes for Sustainable Energy Fast regulating power from hydropower STORE - Electrical Energy Storage Testbed: Roll-to-Roll Coating of Graphene Composites

• Urban Security
• Security Technologies
• Biometrics
• +2 more

Serdar UÇAR serves as a Lecturer in the Department of Property Protection and Security at Kafkas University's Vocational School of Social Sciences, focusing on security technology applications within urban environments and intelligent transportation systems. His academic background includes: Bachelor's Degree in Economics, Anadolu University, Faculty of Economics (1994-2001) UÇAR's research centers on urban security frameworks, specializing in biometric systems and intelligent transportation security. He investigates the integration of computer vision technologies like face and license plate recognition into public safety infrastructure, addressing challenges in real-time surveillance and smart city development. His work bridges technical innovation with practical security management applications. His 2018 conference publications reveal a consistent research trajectory in applying computer vision to urban security contexts within transportation networks. These works demonstrate how biometric identification and vehicle recognition systems enhance security monitoring capabilities, with direct implications for traffic management and law enforcement operations in metropolitan areas. No scientific awards or honors have been documented for UÇAR. While UÇAR has no recorded thesis supervision activities, he contributed as a researcher to the project "A Cultural Ritual in Iğdır: Kara Bayram" (2018-2021), funded by Higher Education Institutions. This cultural study potentially intersects with security considerations for public events and regional safety protocols. He maintains active research collaborations with Kafkas University colleagues including Hakan Yüksel, Harun Sevci, and Ülhak Çimen, focusing on developing integrated security management systems for urban environments.

• Automatic speech recognition
• Language recognition
• Machine learning
• +5 more

Sandro Cumani is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He serves as a member of both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film and Mechatronics Engineering, demonstrating his cross-disciplinary impact across multiple academic programs. Dr. Cumani's research focuses on automatic speech and language processing with emphasis on speaker verification systems, machine learning for biometric authentication, and speech recognition technologies. His work integrates advanced machine learning techniques with practical applications in voice biometrics, addressing challenges such as domain mismatch, score calibration, and bias mitigation in speech models. His research interests include automatic speech recognition, language recognition, speaker recognition, speaker verification, and machine learning applications in biometric systems. His publication record shows a clear trajectory from foundational work on score distribution modeling and calibration techniques toward more sophisticated approaches addressing privacy preservation, bias mitigation, and subgroup performance analysis in speech recognition systems. The research consistently focuses on improving the reliability and fairness of speaker verification technologies through statistical modeling and machine learning innovations. Dr. Cumani leads the Speech Recognition Group (SRG) within DAUIN and has been the Scientific Responsible for multiple commercial research projects on speaker recognition and diarization from 2018 through 2025. He actively supervises PhD students, including Salvatore Sarni who completed his thesis on Speaker Verification and Language Recognition.

• Cybersecurity
• Metaverse
• Artificial Intelligence
• +5 more

Doç. Dr. Esma Ergüner serves as an Associate Professor in the Department of Management Information Systems at Baskent University, contributing significantly to research in cybersecurity, metaverse, and artificial intelligence. Her work bridges technical innovation with societal impact, particularly in digital literacy and sustainable development goals. Her primary research interests encompass: Cybersecurity strategies and policy analysis Metaverse applications in work and education Artificial intelligence and digital literacy Information systems and technology transfer QR code security and mobile applications Recent publications (2023-2025) reveal a strong emphasis on national cybersecurity frameworks, the transformative role of metaverse in workplace dynamics, and AI-driven career development aligned with SDG4. These studies employ diverse methodologies including Delphi studies, comparative policy analysis, and empirical surveys, highlighting interdisciplinary approaches. Dr. Ergüner has contributed to multiple research projects as a consultant or researcher, including initiatives on agricultural platforms, cooperative information systems, migration platforms, and market surveillance using AI. Her project portfolio demonstrates practical engagement with industry and government challenges.

Xosé Manuel Pardo LópezView profile

Associate Professor

• Robotics
• Computer Vision
• Biologically inspired computer vision
• +7 more

Xosé Manuel Pardo López is an Associate Professor of Software and Computer Systems at the University of Santiago de Compostela (Spain). His research focuses on computer vision, robotics, and machine learning, with significant contributions to visual saliency, object and scene recognition, and robot vision systems. He collaborates extensively with research centers across Spain and internationally, particularly in the fields of computer vision and robotics applications. Dr. Pardo received his PhD in Physics from the University of Santiago de Compostela in 1998, with research focused on 3D medical image analysis. Following his doctoral studies, he completed postdoctoral research at the Computer Vision Center of Barcelona (Spain) and INRIA Sophia Antipolis (France) between 1998 and 2000. His primary research interests span biologically inspired computer vision , visual saliency modeling , object and scene recognition , human activity recognition , and machine learning applications in robotics. Dr. Pardo's work bridges theoretical computer vision with practical applications, particularly in robot vision systems, photogrammetry, and visual inspection technologies. His research has evolved from early work in medical image analysis to current projects focusing on advanced dimensional control systems and damage inspection methodologies for high-impact industrial sectors. Dr. Pardo's recent publications demonstrate a strong trend toward open-world recognition systems , incremental learning approaches , and practical applications of computer vision in robotics . His work increasingly addresses challenges in face verification systems , scene understanding for mobile robots , and 3D scene reconstruction using wireframe models. The research shows a clear trajectory from fundamental visual attention modeling toward applied solutions for industrial and robotic applications. Dr. Pardo has been actively involved in numerous research projects spanning over a decade, including: "Federated and continuous learning from heterogenous data in devices and robots" (2021-2024) "Glocal" and continuous Machine Learning for a society of intelligent devices (2018-2020) Development of new advanced dimensional control systems in manufacturing processes (2011-2014) Development of new generation techniques for damage inspection in aeronautics, railway, naval and wind power sectors (2009-2010) His collaborative research approach is evident in his extensive publication record across leading computer vision and robotics venues. Dr. Pardo has supervised numerous research projects and has been instrumental in developing practical computer vision solutions for industrial applications, particularly in the areas of dimensional metrology and visual inspection systems.

• 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.