جست‌وجوی استاد و پژوهشگر

Xenakis Christosمشاهده پروفایل

استاد

• Systems Security
• Network Security
• IoT Security
• +۳ مورد دیگر

Prof. Christos Xenakis is a Professor at the Department of Digital Systems within the University of Piraeus , where he has served since 2007. He holds a Ph.D. in Informatics (2004) and M.Sc. in Informatics and Telecommunications (1996) from the University of Athens , following his undergraduate studies in Informatics (1993). As a key member of the Systems Security Laboratory , he directs the postgraduate program Security of Digital Systems and leads numerous high-impact projects, including CUREX , SealedGRID , INCOGNITO , and SECONDO (all funded by the European Commission under H2020), while also coordinating the ReCRED program and managing the UINFC2 project for DGHOME/ISEC. Active participant in over 30 European and national research programs Leader of the Greek National Cyber Security Team and member of the European Cybersecurity Challenge Steering Committee Editorial board member for journals: Computers & Security , Computer Communications , and IET Information Security His research spans systems, networks, and application security , with a focus on IoT security , blockchain applications , smart grid security , and trust management . His work includes over 90 publications and leadership in projects addressing cyber-insurance , edge computing , and 6G security . Recent publications highlight trends in federated architectures , adversarial machine learning , and decentralized identity management .

Christodoulou Anastasiaمشاهده پروفایل

استادیار

• Maritime Studies
• Sustainable Shipping
• Marine Economy Management
• +۳ مورد دیگر

Dr. Christodoulou Anastasia serves as an Assistant Professor in the Department of Maritime Studies within the School of Shipping and Industry at the University of Piraeus. Her academic profile highlights her expertise in sustainable marine economy management and maritime decarbonization, positioning her at the forefront of critical environmental challenges facing the shipping industry. Her research interests span maritime digitalization, sustainable shipping practices, greenhouse gas emissions reduction strategies, alternative marine fuels, and international maritime regulations. With a focus on the implementation of the IMO 2023 GHG Strategy and EU environmental policies, her work addresses the urgent need for decarbonization in the maritime sector while considering economic, technological, and regulatory dimensions. Dr. Christodoulou's scholarly output demonstrates a consistent focus on emerging challenges in maritime transportation, with particular attention to Mediterranean shipping, Arctic operations, port digitalization, and the integration of artificial intelligence in maritime operations. Her research portfolio reflects a comprehensive approach to maritime sustainability that bridges theoretical frameworks with practical industry applications. As an active contributor to maritime policy discussions, her work informs regulatory developments at both international (IMO) and European levels, particularly regarding emissions trading systems, alternative fuel adoption, and the implementation of environmental regulations in diverse maritime contexts.

Amin Rahimianمشاهده پروفایل

استادیار

• Networks
• Data Science
• Decision Sciences
• +۹ مورد دیگر

Amin Rahimian is an Assistant Professor at the University of Pittsburgh , affiliated with the Swanson School of Engineering and leading the Sociotechnical Systems Research Laboratory . He is also associated with the Intelligent Systems Program and the Institute for Cyber Law, Policy, and Security . PhD in Electrical and Systems Engineering (University of Pennsylvania) Master’s in Statistics (Wharton School) His research spans networks, data, and decision sciences , focusing on robust autonomy , control of large-scale networked systems , satellite constellations , and decision support in mission-critical applications . His work bridges applied probability, statistics, algorithms, and decision/game theory to address challenges in online social networks, public health, e-commerce, cyberinfrastructure, and warfare . Recent publications highlight his expertise in differential privacy, network resilience, and social contagion dynamics. Awards include the Meta Foundational Integrity Research Award (2023) and Pitt Cyber Accelerator Grant (2022) . He has served on program committees for conferences like ACM Economics and Computation and IISE Annual Conference.

Darren Hurley-Smithمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Network Security
• Autonomous Systems Security
• +۷ مورد دیگر

Dr Darren Hurley-Smith serves as a Senior Lecturer in the School of Computing at the University of Kent, specializing in cyber physical systems, network security, and autonomous platforms including unmanned aerial, ground, and submersible vehicles. His work bridges critical infrastructure protection with cutting-edge security research. Education PhD in Mobile Ad Hoc Networks, MANET Security, and Distributed Task Allocation Algorithms from the University of Greenwich (2015) Research Focus His pioneering work spans ransomware ecosystem analysis—developing cryptocurrency tracking tools and Ethereum blockchain attack mitigation—and transport security innovation including Vehicle-to-Infrastructure (V2I) communications. He has engineered secure MANET routing protocols for 5G-connected drone networks and investigates privacy harms from unregulated data harvesting by AI developers. Key Projects National Highways (2024) : Project Lead for CCTV network dataflow simulation in transport systems Omnidrome Facility (2022-2024) : Technical Manager for Royal Holloway's UAV/UGV/ROV research infrastructure RAMSES2020 (2016-2020) : Horizon 2020 Research Associate tracking ransomware financial flows Academic Leadership Dr Hurley-Smith teaches Digital Forensics (COMP8230), Information Security Management (COMP6644/8340), Network Security, and Ethical Hacking. He actively supervises postgraduate research in autonomous vehicle security and decentralized network integrity, emphasizing public safety applications. His lab work focuses on simulating cyber-physical attack scenarios for critical infrastructure resilience testing.

Kwon Oh-jinمشاهده پروفایل

استاد

• Image/video compression
• Image quality enhancement
• Image fusion
• +۶ مورد دیگر

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

• Machine Learning
• Cybersecurity
• Malware Analysis
• +۱۲ مورد دیگر

Mark S Stamp is a tenured Professor in the Department of Computer Science at San José State University. Previously, he held roles at the National Security Agency (NSA) and the startup MediaSnap, Inc. His academic journey began with a B.S. in Computer Science and History from Morningside College, followed by a Ph.D. in Mathematics from Texas Tech University. Current role: Professor, Computer Science, San José State University Prior roles: NSA analyst, MediaSnap entrepreneur Research Interests Professor Stamp's work focuses on Machine Learning and Deep Learning applications in Cybersecurity , particularly Malware Analysis , Adversarial AI , and Steganographic Capacity . His research spans Hidden Markov Models , Federated Learning , and Android Malware Detection . Recent Publications Trend His 2025–2024 publications emphasize malware classification using hybrid models (e.g., HMM-CNN), adversarial attack analysis in federated learning, and steganographic techniques in transformer models. Additional work explores chatbot detection, energy-efficient neural networks, and cybersecurity applications of QR/Aztec code analysis and keystroke dynamics . Advising & Collaborations While specific advisees are not listed, his research engages with collaborators in AI security , mobile threat detection , and sequence modeling . His career bridges academia, intelligence, and startup innovation.

• Control Systems
• Energy Management
• Distributed Optimization
• +۴ مورد دیگر

Yutaka Iino serves as an Associate Professor at Waseda University's Advanced Collaborative Research Organization for Smart Society (ACROSS) and Research Institute for Advanced Network Technology (RIANT). With over 35 years of professional experience, he transitioned from a long career at Toshiba Corporation (1984-2018) where he worked on energy management and energy-saving technologies, to his current academic position focusing on smart society element technologies including power, transportation, and information systems. Doctor of Engineering from Tokyo Institute of Technology (2015) Master's in Electrical Engineering from Waseda University (1984) Bachelor's in Electrical Engineering from Waseda University (1982) Professor Iino's research focuses on control and system engineering with particular emphasis on energy management systems and distributed optimization. His work bridges theoretical control systems with practical applications in smart grids, electric transportation, and distributed energy resources. He has pioneered approaches in decentralized optimization, modeling techniques for energy systems, and demand science applications in power networks. His research interests include Di-centralized and distributed optimization, Distributed Energy Resource management, System Control Theory, and Demand Science. Analysis of his recent publications reveals a strong focus on practical applications of distributed energy resources, particularly in the context of electric buses, photovoltaic integration, and grid congestion management. His work demonstrates a consistent trajectory toward developing market-oriented solutions for energy systems, with increasing emphasis on machine learning techniques for parameter optimization and federated learning for smart inverter control. The research spans multiple domains including electrical engineering, transportation systems, and control theory, with a clear practical orientation toward solving real-world energy challenges. SICE Paper Award, No.1995 for 'Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator' Best Paper Award of IEEJ Transactions on Electrical and Electronic Engineering 2021 for 'Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model' Professor Iino has secured research funding through Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research, including current projects on cooperative next-generation distribution system operation methods for mass introduction of photovoltaic power generation (2023-2027) and hybrid model analysis methods with data and physical models for automatic energy analysis (2020-2023). His committee memberships include roles in IEEE, Japan Society of Energy and Resources, The Institute of Electrical Engineers of Japan, and The Society of Instrument and Control Engineers (where he holds Fellow status). At Waseda University, Professor Iino contributes to the research ecosystem through the Advanced Collaborative Research Organization for Smart Society, where he leads efforts in developing practical energy management solutions that bridge theoretical control systems with real-world applications in smart grids and transportation electrification. His work exemplifies the integration of academic research with industry applications, leveraging his extensive industrial experience at Toshiba to inform his current academic pursuits.

Myra B. Cohenمشاهده پروفایل

استاد

• Software Testing
• Search-Based Software Engineering
• Combinatorial Designs
• +۴ مورد دیگر

Myra B. Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering within the Department of Computer Science at Iowa State University's College of Engineering. She previously served as a Susan J. Rosowski Professor at the University of Nebraska-Lincoln and leads the LaVA-OPs Laboratory for Variability-Aware Assurance and Testing of Organic Programs. Her research spans software testing of highly-configurable systems, search-based software engineering, combinatorial design applications, and synergies between software engineering and synthetic biology. She investigates assurance techniques for self-adaptive systems through bio-inspired algorithms and examines software testing representations of natural processes like chemical reaction networks. Her 15 most recent publications demonstrate strong focus on cyber-physical systems (particularly drone safety), biological computing, and configuration-aware testing. These works reveal interdisciplinary trends combining software engineering with synthetic biology, emphasizing real-world applications in autonomous systems and computational biology. NSF CAREER Award AFOSR Young Investigator Award ACM Distinguished Scientist Best Student Paper Award at SPLC 2019 ACM Distinguished Paper Award at ASE 2020 Best Paper Award at GI@ICSE 2021 Professor Cohen advises PhD students Salil Purandare, Md Obaidul Kabir, and Michael Gerten, with research focusing on cyber-physical systems and biological software applications. She leads multiple significant projects including the DOE-funded Dependable, Explainable, Reusable, AI-Driven Computational Biology initiative and blockchain fault tolerance research. Her LaVA-OPs laboratory develops assurance techniques for highly-configurable and self-adaptive programs through bio-inspired algorithms.

Muhammad Nouman Nafeesمشاهده پروفایل

مدرس

• Cyber-physical systems security
• Smart grid cybersecurity
• Industrial Internet of Things security
• +۵ مورد دیگر

Muhammad Nouman Nafees serves as a Lecturer in Cyber Security and Forensic Computing within the Faculty of Science and Engineering at Anglia Ruskin University (ARU), specializing in the School of Computing and Information Science. His research bridges cybersecurity and critical infrastructure protection with focus areas including cyber-physical systems security, smart grid resilience, and physics-informed machine learning applications for threat detection. His academic credentials include: PhD in Computer Science (near completion), Cardiff University BSc (Hons) in Computer Networks and Cyber Security, First-Class Honours, Northumbria University Nafees' research program integrates operational technology security with physics-informed artificial intelligence to address vulnerabilities in power systems. Key initiatives include developing moving target defense strategies for grid infrastructure and contextual anomaly detection models that incorporate physical system constraints. His work spans: Cyber-physical systems security Smart grid & industrial IoT protection Indicators of compromise analysis Operational technology resilience frameworks Physics-informed deep learning for stealthy attack identification Analysis of his 2020-2023 publications reveals consistent focus on power system security through machine learning integration, with 60% of works appearing in ACM/IEEE flagship conferences. His research trajectory shows increasing specialization in physics-informed models (33% of recent works) and moving target defense mechanisms (22%), demonstrating evolving methodologies for critical infrastructure protection. Scientific recognition includes: Multiple conference grants (ACM CCS, NDSS, ACSAC, IEEE S&P) Cardiff University full PhD scholarship Nafees actively mentors cybersecurity talent through PhD supervision in interdisciplinary security projects. His research is supported by institutional funding at ARU and conference travel grants from major security organizations. Current supervision focuses on operational technology security and physics-informed AI applications. As an active IEEE and ACM member, he contributes to the cybersecurity ecosystem through peer review and conference participation. His work suggests collaboration with power systems research groups focused on securing next-generation grid infrastructure through innovative defense-in-depth strategies.

Mostafa Mostafaمشاهده پروفایل

دانشیار

• Cybersecurity
• Computer Networks
• Database Systems
• +۳ مورد دیگر

Mostafa Mostafa, Ph.D., serves as Associate Professor and Chair of the Division of Computing at McKendree University. His academic leadership spans cybersecurity, network systems, and database technologies with significant contributions to critical infrastructure protection and educational innovation. His educational background includes: Ph.D., Computer Science and Engineering, University of Louisville, December 2003 M.S., Computer Science, University of Louisville, May 1999 Advanced Professional Certificate in Computer Systems and Applications, American University in Cairo, May 1992 Bachelor of Accounting, Cairo University, May 1989 Dr. Mostafa's research focuses on SCADA security for critical infrastructure, bandwidth pricing economics , and spatial database quality . His work bridges theoretical models with practical applications in industrial control systems and network resource management, demonstrating expertise in both cybersecurity protocols and educational methodologies including game-based software engineering instruction. His publication record (2002-2012) reveals consistent contributions to securing industrial networks and optimizing resource allocation, with increasing emphasis on applied frameworks for spatial data quality and security threat mitigation in critical infrastructure systems. Recognition includes: Dean Citation, 2003, University of Louisville Who is Who among American Ph.D. Students, 2003 As Principal Investigator, he secured $117,000 in competitive funding including a $100,000 Department of Homeland Security grant (2006-2007) for SCADA security in chemical plants and a $17,000 Kentucky Real Estate Commission grant (2008-2009) for website infrastructure. He mentored two master's students to completion on spatial database frameworks and SCADA intrusion detection systems, demonstrating commitment to both research and student development.

Jörg Pohleمشاهده پروفایل

پژوهشگر

• Informatics and Law
• Informatics and Sociology
• Data Protection
• +۶ مورد دیگر

Dr. Jörg Pohle is a PostDoc researcher at the Humboldt Institute for Internet and Society (HIIG) where he heads the research programme 'Data, actors, infrastructures: The governance of data-driven innovation and cyber security' and the 'Global Privacy Governance' project. His interdisciplinary work bridges Informatics, Law, and Sociology, focusing on data protection theory and practice, privacy governance, and the societal implications of digital technologies. Pohle completed his doctorate at Humboldt-Universität zu Berlin with a dissertation on the history and theory of data protection and its implications for ICT system design. His academic background spans Law, Political Science, and Computer Science, with early work examining security of voting computers and related security discourse. His research interests include the intersections of Informatics and Law, Informatics and Sociology, modellification processes, and data protection by design. He has developed critical frameworks like 'Welt → Modell → Technik → Welt' for analyzing how power structures become embedded in sociotechnical systems. His work often takes historical perspectives on data protection debates while addressing contemporary challenges in technology governance. Analysis of his recent publications reveals a strong focus on translating data protection principles into practical applications, particularly in healthcare contexts like nursing care and pandemic response. His research increasingly addresses AI governance challenges, examining large language models' impact on scientific practices and developing legal design patterns for law-technology translation. He advocates for freedom-preserving approaches to digital governance and information separation of powers in digital environments. Pohle serves as a board member of the Working Group on Digitalization as a Challenge for Sociological Theory within the German Sociological Society. He has contributed to significant research projects including 'Strengthening Digital Skills through Micro-Credentials,' 'DUCAH @ HIIG,' and 'Making Repositories and AI Systems Usable in Everyday Nursing Care.' He is a prolific organizer of the annual Interdisciplinary Workshop on Privacy, Data Protection & Surveillance and regularly contributes to policy discussions through media appearances in Handelsblatt, Leipziger Volkszeitung, and specialized podcasts examining the intersection of IT and law.

Burak Kizilkayaمشاهده پروفایل

مدرس

• Telerobotics
• Autonomous Systems
• 5G/6G Wireless Communications
• +۷ مورد دیگر

Dr. Burak Kizilkaya is a Lecturer in Computer Networking at the University of Glasgow's School of Computing Science, holding a PhD in Electrical and Electronics Engineering from the same institution (2023). His doctoral research focused on "Task-Oriented Joint Design of Communication and Computing for Internet of Skills" with applications in 5G-based teleoperation systems. His research spans four key areas: Telerobotics and Autonomous Systems for nuclear sites and healthcare 5G/6G wireless communications for real-time control systems Cybersecurity in human-robot interaction Smart cities and IoT applications for energy efficiency His publication trends show strong focus on teleoperation security (2023-2025), haptic communications (2023), and smart grid applications (2025), with interdisciplinary work bridging robotics, networking, and cybersecurity. Recent publications demonstrate increasing industry relevance in nuclear robotics, virtual power plants, and VR education. Dr. Kizilkaya actively supervises PhD students in robotics, immersive technologies, and cyber-physical systems, seeking candidates with backgrounds in computer/electrical engineering or computer science. He leads the Netlab (Networked Systems Research Laboratory) and collaborates with the Communications, Sensing and Imaging Hub. His work integrates practical applications in healthcare robotics, nuclear environments, and smart city infrastructure, with emphasis on real-world implementation of theoretical frameworks developed in his research.

• Blockchain
• Cloud Computing
• Grid Computing
• +۵ مورد دیگر

Dr. David Buján Carballal is a Lecturer and Researcher at the University of Deusto in Spain. He holds a BSc, MSc, and PhD in Computer Sciences from the University of Deusto, with a dissertation focusing on semantic technologies in Grid computing. His research spans Blockchain, Cloud/Grid computing, Linked Data, and Semantic Technologies. He teaches Web Engineering, Operating Systems, and Distributed Systems, and works at the Mobile Communications Research Group (MORElab) within DeustoTech Institute and Telefónica Deusto Chair. Education: BSc in Computing - Faculty of Engineering, University of Deusto MSc in e-Business - University of Deusto PhD in Computer Sciences - University of Deusto (2016) Research focuses on integrating semantic technologies with distributed systems, including blockchain applications and cybersecurity in connected industries. He actively participates in national projects (ALASTRIA network) and international conferences like HAIS, SOCO, and IoT. His work includes developing context-aware tourism platforms and remote laboratory systems (WebLab-Deployer). Advising & Grants: Involved in national/international research projects and private contracts. Served on program committees for conferences such as CAEPIA and JENUI. Extensive collaboration with institutions like the University of Manchester, UCM, and the University of Westminster. Labs/Teams: Lead researcher at MORElab, part of DeustoTech’s Mobile Communications group.

Preethi Srivathsaمشاهده پروفایل

استادیار

• Computer Architecture
• Internet of Things
• Cyber Security
• +۴ مورد دیگر

Dr. Preethi Srivathsa is an Assistant Professor - Senior Scale in the School of Computer Engineering at Manipal Academy of Higher Education (MAHE), Bengaluru. She holds a B.Tech, M.Tech, and Ph.D. (awarded by Presidency University in 2022). Her academic career includes positions at Presidency University (2019-2023) and East Point College of Engineering (2008-2019). Her research focuses on: Computer architecture and low-power hardware design IoT applications and cyber-physical systems Cryptography and blockchain security Machine learning implementations in hardware FPGA-based accelerators and optimization techniques Her publication portfolio shows strong emphasis on hardware-efficient algorithms, cryptographic systems (especially elliptic curve applications in blockchain), and emerging IoT architectures. Recent work integrates machine learning with hardware acceleration for smart home systems and agricultural technology. Awards and recognitions: Best Paper Award at IEEE iSES-2021 for low-power sorter design Infosys Bronze Partner Faculty (2013) She has developed intellectual property including IoT-based monitoring systems and blockchain educational frameworks. Technical skills include Verilog, FPGA design, IoT platforms (Arduino/Raspberry Pi), and multiple programming languages.

Simin Nadjm-Tehraniمشاهده پروفایل

استاد

• Cybersecurity
• Real-Time Systems
• Formal Verification
• +۴ مورد دیگر

Simin Nadjm-Tehrani is a Professor and Head of Unit at Linköping University's Department of Computer and Information Science (IDA), leading the Real-time Systems Laboratory (RTSLAB) since 2000. She holds a PhD in Computer Science from Linköping University (1994) and previously served as a full professor at the University of Luxembourg (2006–2008). Her research focuses on cybersecurity, dependability in distributed systems, and formal methods for safety-critical applications. Key research areas include adaptive anomaly detection in critical infrastructures, energy-efficient protocols, and formal analysis of safety protocols. She leads the NEST-project on AI for cyber attack identification and contributes to the Wallenberg AI, Autonomous Systems and Software Program (WASP). Her work addresses challenges in smart grids, edge computing, and secure communication protocols. Publications emphasize practical applications of formal verification in tree ensembles, SCADA systems, and avionics. She organized the 2019 CRITIS conference and collaborates with industry on edge computing benchmarks and secure IoT architectures. Her educational contributions include curriculum design for problem-based learning (PBL) and gender equity initiatives in computer science. Professional roles include leadership in the Software and Systems (SAS) division at IDA, where she oversees interdisciplinary projects combining safety and security constraints. Current efforts target resilient information systems for societal functions like energy and transportation.