جست‌وجوی استاد و پژوهشگر

• Cryptography
• Network Security
• Distributed Systems
• +۲ مورد دیگر

Antonio Nicolosi is an Associate Professor of Computer Science at Stevens Institute of Technology's Schaefer School of Engineering, specializing in cryptography and secure distributed systems. His NSF CAREER award-winning research explores lattice-based cryptography, non-commutative cryptographic protocols, and future internet architectures like NEBULA. Education PhD in Computer Science, New York University MS in Computer Science, Università di Catania Research Focus: Develops provably secure cryptographic systems using group-theoretic approaches, with applications in network security and privacy-preserving protocols. Honors: NSF CAREER Award (2014), EU Marie Curie Fellowship. Recent publications address pseudorandom functions, broadcast steganography, and internet architecture security. Teaches courses including Foundations of Cryptography and Secure Systems. Professional Service: Program Director for Cybersecurity Masters, editorial roles, and conference organization. Research funded by NSF, Air Force Research Lab, and DOD.

Jordi Castellà Rocaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Privacy Preservation
• +۲ مورد دیگر

Jordi Castellà Roca is an Associate Professor at the Universitat Rovira i Virgili's Department of Computer Engineering and Mathematics. His research specializes in blockchain applications, cybersecurity, and privacy-preserving technologies. Recent publications demonstrate a consistent focus on decentralized systems, smart contracts, and secure access control mechanisms, with applications ranging from low-emission zones to smart grids. Key research areas include: Blockchain-based data management Privacy-enhancing technologies Cryptographic applications in IoT His work frequently addresses compliance frameworks like GDPR and explores practical implementations for urban infrastructure and digital services.

Dan Wuمشاهده پروفایل

دانشیار

• Machine Learning
• Uncertain Reasoning
• Robotics
• +۳ مورد دیگر

Dr. Dan Wu is an Associate Professor at the School of Computer Science, University of Windsor. His research focuses on uncertain reasoning, machine learning, knowledge representation, and robotics. He holds a PhD from the University of Regina (2003). His work bridges theoretical advancements and practical applications in robotics, traffic systems, and probabilistic inference. Education: PhD in Computer Science, University of Regina, 2003 Research Interests: Machine Learning: Focused on deep learning models for traffic prediction and robotics. Uncertain Reasoning: Developing probabilistic methods for cooperative robotic systems. Robotics: Multi-robot coordination, navigation, and obstacle avoidance. Knowledge Representation: Applications in distributed Bayesian networks and graph-based systems. Publications Trends: Recent work emphasizes urban traffic management (reinforcement learning for signal control), vehicular networks (task offloading in 5G), and privacy-preserving federated learning. Earlier studies addressed multi-robot coverage algorithms and probabilistic localization techniques. Lab/Teams: Active in AI-driven robotics and intelligent transportation systems research, though specific lab names are not explicitly mentioned in the provided texts.

Halil Yetginمشاهده پروفایل

مدرس

• Wireless Networks Optimization
• Multi-Objective Optimization
• AI for Wireless Networks
• +۷ مورد دیگر

Dr. Halil Yetgin is a Lecturer in Computing Science at the Department of Computer Science, Middlesex University, within the Faculty of Science and Technology. His expertise spans wireless networks optimization, AI-driven solutions, and IoT automation. He holds a PhD in Wireless Communications from the University of Southampton and has held academic roles in Turkey and Slovenia. Teaching Roles: Module Leader for CST2133 (Data Science and Machine Learning) and CST3133 (Advanced Topics in Data Science/AI) Programme Leader for BSc Computer Science (Systems Engineering) Research Focus: Lifetime optimization of wireless networks Multi-objective optimization using evolutionary algorithms (e.g., NSGA-II) AI applications in IoT, vehicular networks, and UAV systems Zero-touch IoT provisioning and anomaly detection Publications & Collaborations: Over 20 peer-reviewed articles in journals like IEEE Transactions and conferences (ENASE, WCNC) Contributions to EU-funded projects and IEEE technical committees Editorial roles in several journals Advising: Supervised multiple MSc and PhD students in AI-driven wireless systems and optimization. Labs/Teams: Active in the Next Generation Wireless Research Group and collaborations with Jožef Stefan Institute.

Mrinal Sharmaمشاهده پروفایل

مدرس

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technologies
• +۳ مورد دیگر

Mrinal Sharma is a Lecturer in IT and Programme Coordinator for the BSc (Hons) Cyber Security and Digital Forensics at Middlesex University, Mauritius. He joined the university in September 2021 as a Graduate Teaching Assistant during his master's thesis completion and has since advanced to his current roles. His research interests focus on cybersecurity, Internet of Things (IoT), and blockchain technologies, driven by a passion to address modern security challenges through innovative solutions. Teaching: He currently teaches modules including CST 1330 Information Technology Applications CST 2120 Web Applications and Databases CST 2572 Secure Web Technologies CST 3510 Memory Analysis CST 4560 Network Security and Mechanisms Research: His work spans malware threat prediction using AI, blockchain-based healthcare systems, and IoT-driven home security solutions. Recent publications emphasize applications of CNN-SVM ensembles, smart home monitoring via Raspberry Pi, and NFC-enabled patient tracking systems. Student Supervision: He oversees undergraduate and postgraduate projects in cybersecurity and digital forensics, including modules CST 3590, CST 3990, and CST4599.

Elizabeth Stobertمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer Security
• Usable Security
• +۴ مورد دیگر

Elizabeth Stobert is an Assistant Professor and Human-Computer Interaction (HCI) Program Co-Director at the School of Computer Science, Carleton University. Her research focuses on usable security systems, integrating cognitive science principles to enhance security design in healthcare and education contexts. She holds a leadership role in advancing security education and authentication practices. Her work emphasizes improving user experiences in authentication systems, cybersecurity education, and addressing cultural and contextual factors in security practices. Key projects include studies on password management, digital legacy planning, and healthcare IT security gaps in emergency departments. She leads the SPIRL lab (website: https://spirl.scs.carleton.ca ), which explores human-centered security solutions. Dr. Stobert’s research has been disseminated through top-tier venues, analyzing user behavior in IoT authentication, cross-cultural security practices, and emergency department cybersecurity challenges. She advocates for interdisciplinary approaches to bridge gaps between technical security measures and human usability needs.

Ismael Essopمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT) Security
• Intrusion Detection Systems
• +۳ مورد دیگر

Dr. Ismael Essop is the Deputy Head of the School of Engineering and an Associate Professor in Digital Solutions and Security at the University of Greenwich. With over 20 years in higher education, he specializes in anomaly intrusion detection systems (AIDS) for IoT and IoMT networks. His doctoral research focused on dataset generation for AIDS in IoT networks. He leads curriculum development and strategic initiatives in teaching, research, and employability, while maintaining industry ties through the Tech Industry Gold Educator Network. Education: Holds a BSc (H), MSc, PhD in relevant fields, along with certifications such as Senior Fellow of Advance HE (SFHEA), MIET, and PGCE in Education. His roles include external examiner, faculty panel reviewer, and program accreditation contributor for Digital and Technology Solutions Degree Apprenticeships. Research focuses on cybersecurity for IoT/IoMT, including intrusion detection systems, mobile device authentication, and testbed development. His work appears in journals like Electronics , Sensors , and IEEE Access , alongside conferences like IEEE CAMAD and IFIP. Advising and Grants: While specific student names are not listed, his leadership roles indicate significant contributions to academic governance and program development. External examiner roles highlight his industry-relevant expertise. Labs/Teams: Active in developing security testbeds for IoT networks and collaborates with industry partners on practical cybersecurity solutions.

Barney Dalgarnoمشاهده پروفایل

استاد

• Educational Technology
• Virtual Reality in Education
• Online Learning
• +۲ مورد دیگر

Barney Dalgarno is a Professor at the University of Canberra's Faculty of Education. His research centers on technology-enhanced learning, particularly immersive virtual reality (VR) environments, online self-regulated learning, and instructional design frameworks. Dalgarno explores how VR and blended reality can create authentic learning contexts, investigates factors influencing student self-regulation in digital assignments, and develops models for effective technology integration in curricula. His work bridges educational theory with practical applications, focusing on teacher training, collaborative learning, and institutional transformation through innovative pedagogy. Research interests emphasize: Immersive VR for experiential learning Self-regulated learning in online environments TPACK development for educators Blended reality classrooms Systemic educational reform through technology Awards and labs are not detailed in available sources.

Konstantinos Limniotisمشاهده پروفایل

مدرس

• Cryptography
• Boolean Functions
• Network Security
• +۵ مورد دیگر

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.

Jinyuan Sunمشاهده پروفایل

دانشیار

• Network Security
• Wireless Communications
• Mobile Computing
• +۳ مورد دیگر

Jinyuan Sun is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She joined the faculty in 2010 as an Assistant Professor and has since specialized in network and system security, wireless communications, and mobile computing. Her work emphasizes securing critical infrastructure like smart grids and cyber-physical systems against adversarial attacks and ensuring privacy in data communications. Education: She holds a BSc in Computer Information Systems from Beijing Information Technology Institute (2003), an MASc in Computer Networks from Ryerson University, Canada (2005), and a PhD in Electrical and Computer Engineering from the University of Florida (2010). Before academia, she worked as a Network Test Developer at RuggedCom Inc., Canada (2005–2006). Research Interests : Her research focuses on security and privacy in wired/wireless networks, including adversarial machine learning for cyber-physical systems, secure authentication systems leveraging user behavior, and privacy-preserving mechanisms for smart grids. She explores vulnerabilities in energy markets, deep learning-based fraud detection, and resilient communication protocols. Publications: Her recent work spans topics like constrained adversarial machine learning, secure encryption schemes for smart grids, and dynamic privilege control in authentication systems. These contributions highlight her expertise in bridging theoretical cybersecurity with practical applications in critical infrastructure. Advising & Grants: She actively seeks self-motivated PhD students to advance research in network security and mobile computing. While specific grants are not listed here, her work reflects sustained engagement with funded research initiatives in cybersecurity and smart systems.

• Embedded Sensors
• Sensor Networks
• Distributed Systems
• +۳ مورد دیگر

Bruno Rodrigues is an Assistant Professor of Computer Science (Embedded Sensing Systems) at the University of St. Gallen (HSG). His research focuses on embedded sensors, sensor networks, distributed systems, and network security, with additional expertise in software-defined networks and distributed ledgers. He holds a PhD from the University of Zurich (2020), a Master's from the Polytechnic School of the University of São Paulo (2016), and a Bachelor's from the University of Santa Catarina, Brazil (2013). Prof. Rodrigues' professional career includes roles as a Senior Researcher (2020–2024) and Junior Researcher (2016–2020) at the University of Zurich, where he contributed to projects like the EU-funded CONCORDIA H2020 and collaborations with Swiss innovation agencies (KTI/Innosuisse). His work spans DDoS mitigation, blockchain applications in voting systems, and energy-efficient cloud networks. Notable projects include the 'Passive Wireless Intelligence Tracking System (PasWITS)' and 'Energy-Efficiency to Clouds (E2C)' with Ericsson Research. His research portfolio includes over 50 publications on topics such as secure IoT frameworks (SHIFT, WeTrace), blockchain-based voting systems (ProvotuMN, Æternum), and cybersecurity tools like SecGrid for traffic analysis. He has pioneered solutions for privacy-preserving mobile tracking (LaFlector), real-time medical device inventory systems (PMD-Track), and decentralized financial inclusion tools (AfriBit). Prof. Rodrigues' work bridges theoretical computer science with practical applications, emphasizing sustainability, security, and innovation in distributed systems. He has led interdisciplinary projects at the intersection of blockchain technology, sensor networks, and ethical AI, with a focus on real-world implementation challenges.

Mincheol Shinمشاهده پروفایل

استادیار

• Media Psychology
• Human-Computer Interaction
• Experimental Methods
• +۶ مورد دیگر

Mincheol Shin is an Assistant Professor at Tilburg University's Department of Communication and Cognition, part of the Tilburg School of Humanities and Digital Sciences. He holds a PhD from Syracuse University, a master's degree from Nanyang Technological University, and a bachelor's from Sungkyunkwan University. His research focuses on socio-psychological effects of interactive and immersive technologies, including virtual reality (VR), mixed reality (MR), and chatbots. He explores topics like uncanny valley effects, influencer marketing authenticity, and pro-environmental campaign messaging. Editorial Board Member: Frontiers in Robotics & AI Vice President: Korean American Communication Association (KACA) His recent work examines how XR technologies influence emotional states, trust in AI agents, and learning intentions. He has published in journals like International Journal of Human-Computer Interaction and Journal of Media Psychology . Shin’s research highlights the dual-edged nature of immersive technologies, showing both their persuasive potential (e.g., pro-environmental campaigns) and challenges (e.g., trust issues with eerily realistic chatbots).

Eduardo Castelló Ferrerمشاهده پروفایل

استادیار

• Robotics
• Blockchain Technology
• Swarm Robotics
• +۳ مورد دیگر

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

• High-Performance Computing
• Cloud Computing
• Parallel Computing
• +۳ مورد دیگر

Dr. Luigi Santangelo is affiliated with the University of Pavia. He focuses on High-Performance Computing (HPC), Cloud Computing, and Parallel Computing, with significant contributions to bioinformatics applications and network security. His research integrates cloud-based scheduling for protein analysis and hemodynamic simulations, emphasizing computational efficiency and cost analysis in cloud vs on-premise systems. His work spans hybrid parallel computing models (OpenMP-MPI) and enterprise network management tools like RedHat Directory Server and OpenNMS. Recent efforts prioritize optimizing cloud infrastructure for bioinformatics tasks, such as protein secondary structure analysis and geometric motif searches in proteins. No scientific awards or grants are listed, but his publications reflect a strong emphasis on practical HPC solutions and cybersecurity protocols like SPID digital identity systems. He has not listed formal advisees, though his collaborative research likely involves student contributions.