Find Academic Supervisors

• Big Data Analytics
• Machine Learning
• Artificial Intelligence
• +4 more

Mahmoud Daneshmand is an Industry Professor at the School of Business and holds a joint appointment in the Department of Computer Science at Stevens Institute of Technology. He has over 40 years of experience in academia and industry, serving as a Distinguished Member of Technical Staff at Bell Labs and AT&T Shannon Labs. His research focuses on Big Data Analytics, Machine Learning, IoT, and Data Mining, with over 300 publications and three books to his name. He co-founded the Business Intelligence & Analytics MS program at Stevens and leads initiatives in IEEE, including steering committees for IoT and Big Data journals. Education: PhD (1976) in Statistics from UC Berkeley; MA (1973) in Statistics from UC Berkeley. Research Interests: Big Data, AI, IoT, Data Mining, Risk Management, and Network Reliability. Dr. Daneshmand has received numerous awards, including IEEE Distinguished Lecturer, AT&T Recognition Awards, and IEEE Standards Committee honors. He chairs international conferences, edits journal special issues, and advises on industry standards. His work spans academia-industry collaboration, innovation in data-driven technologies, and leadership in IEEE initiatives. Grants & Patents: Holds two patents (2009-2010) and led over 60 large-scale Bell Labs projects. PI of the American Bureau of Shipping Grant. Service: Editorial roles in IEEE journals, NJBDA board member, and academic coordinator for Stevens' programs.

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +3 more

Ruitao Feng is a Lecturer in IT (Cybersecurity) at the Faculty of Science and Engineering, Southern Cross University. He holds an adjunct role as a Research Fellow at Nanyang Technological University (Singapore). His expertise spans cybersecurity, software engineering, and AI-driven security solutions. He earned his Ph.D. in Computer Science from NTU (2016–2021) and a Bachelor’s degree from Tianjin University (2010–2014). His research focuses on security and quality assurance in software systems, particularly leveraging AI4Sec & SE for intrusion detection, malware analysis, and vulnerability detection. He actively collaborates with students and researchers to advance these fields. He teaches courses like DATA2001 Database Systems and INFO6002 Cybersecurity Essentials . Ruitao is recruiting self-motivated Ph.D. candidates with strong programming skills and seeks honors/minor thesis students from SCU. His work has been published in top-tier conferences/journals (CORE A/A*, CCF A) in computer security and software engineering.

Jihye KimView profile

Associate Professor

• Social Media Marketing
• Consumer Behavior
• Advertising Strategy
• +3 more

Jihye Kim is an Associate Professor in the Department of Integrated Strategic Communication at the University of Kentucky’s College of Communication and Information. She holds a Ph.D. from the University of Florida and specializes in social media marketing, consumer behavior, and advertising strategy. Her research explores topics like virtual influencer trust dynamics, cause-related marketing effectiveness, and AI-driven consumer interactions. Dr. Kim’s academic journey includes a Master of Advertising (University of Florida, 2010) and a Bachelor of Science (Korea University, 2005). Her work bridges digital communication theory with practical applications, focusing on how technology and social media shape consumer decisions and brand engagement. Her research interests are centered on the psychological and behavioral impacts of digital marketing strategies, including compassion-driven donation behavior, personalized advertising, and the role of ethical values in trust formation. Key themes include virtual community dynamics, CSR messaging efficacy, and the anthropomorphism of brands. Dr. Kim has secured grants such as the OVPR CURATE Program (2022–2023) for studying cause-related marketing visibility. Her work has been published in journals like Education and Information Technologies and Journal of Retailing and Consumer Services . She teaches courses on digital strategies, international advertising, and research methods, emphasizing real-world applications of strategic communication principles.

• Software Engineering
• Cybersecurity
• Behavioral Biometrics
• +3 more

Dr. Daqing Hou is a Professor at Clarkson University's Coulter School of Engineering & Applied Sciences, affiliated with the Department of Electrical & Computer Engineering and Computer Science. His research bridges software engineering, cybersecurity, behavioral biometrics, and education research. He earned his Ph.D. in Computing Science from the University of Alberta, and M.S./B.S. in Computer Science from Peking University. Research focuses on improving software development efficiency through project-based learning (PjBL), empirical studies, and human factors. Key areas include behavioral biometrics (keystroke/mouse dynamics), smart housing/energy systems, and cybersecurity solutions. He has pioneered tools like CReN for managing code clones and has contributed to Eclipse/UIMA frameworks. Recent publications emphasize behavioral authentication methods, mobile biometrics evaluation, and framework design recommendations. His work has been recognized with awards including IEEE ICSME 2014 Best Paper Nomination and IBM Innovation Awards (2005/2007). Teaching spans software engineering, GUI design, databases, machine learning, and compilers. He advises students on topics like API usability, security systems, and programming language tools.

• Cryptography
• Network Security
• Distributed Systems
• +2 more

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 RocaView profile

Associate Professor

• Cybersecurity
• Blockchain Technology
• Privacy Preservation
• +2 more

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 WuView profile

Associate Professor

• Machine Learning
• Uncertain Reasoning
• Robotics
• +3 more

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 YetginView profile

Lecturer

• Wireless Networks Optimization
• Multi-Objective Optimization
• AI for Wireless Networks
• +7 more

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 SharmaView profile

Lecturer

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technologies
• +3 more

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 StobertView profile

Assistant Professor

• Human-Computer Interaction
• Computer Security
• Usable Security
• +4 more

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 EssopView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT) Security
• Intrusion Detection Systems
• +3 more

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 DalgarnoView profile

Professor

• Educational Technology
• Virtual Reality in Education
• Online Learning
• +2 more

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 LimniotisView profile

Lecturer

• Cryptography
• Boolean Functions
• Network Security
• +5 more

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 SunView profile

Associate Professor

• Network Security
• Wireless Communications
• Mobile Computing
• +3 more

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
• +3 more

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.