Find Academic Supervisors

• Hardware Security
• Secure Processors and Systems Design
• Post-Quantum Cryptography
• +4 more

Michel Kinsy is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence and Director of the Secure, Trusted, and Assured Microelectronics (STAM) Center. His work bridges hardware security, cryptographic systems, and efficient computing architectures. Education: PhD in Computer Science from Massachusetts Institute of Technology His research focuses on hardware security , including secure architectures, trusted execution environments, quantum-proof cryptography, polymorphous architectures, and zero-trust computing systems. Recent projects explore privacy-preserving machine learning, zero-knowledge proofs, and homomorphic encryption acceleration. Key publication trends include: Hardware security for post-quantum cryptography (2020-2025) Secure distributed systems (2021-2025) Privacy-preserving machine learning implementations (2018-2025) Root-of-trust mechanisms in edge devices (2019-2023) Cryptographic protocol acceleration (2020-2024) Scientific Recognition: MIT Presidential Fellow CRA-WP Inaugural Skip Ellis Career Award He teaches graduate-level courses in computer architecture, research methodology, and thesis/dissertation advising, with recent offerings including CSE 792 Research , EEE 599 Thesis , and CEN 799 Dissertation . As STAM Center director, Kinsy leads initiatives in secure microelectronics and collaborates with hardware/software co-design teams. His research website provides detailed project information: https://stamcenter.asu.edu

• Cybersecurity
• Cryptography
• Blockchain
• +3 more

Willy Susilo is a Professor and Australian Laureate Fellow at the School of Computing and Information Technology, University of Wollongong (UOW). As Head of School since 2015, he leads academic and research initiatives while maintaining active roles as Editor-in-Chief of Computers Standards and Interface and associate editor for IEEE journals. A Fellow of IEEE, IET, ACS, AAIA, and AIIA, he has received numerous accolades including the 2024 Premier's Prizes, 2023 ARC Laureate Fellowship, and UOW's Researcher of the Year (2016) and Supervisor of the Year (2019). Education : Ph.D. and M.Sc. in Computer Science (University of Wollongong, 2001), B.Sc. in Computer Engineering (University of Surabaya, 1994) His research focuses on cybersecurity and cryptography , particularly post-quantum cryptography, blockchain security, and privacy-preserving systems. Recent publications explore lattice-based encryption, federated learning privacy, and blockchain authentication mechanisms, reflecting trends in quantum-resistant algorithms and secure decentralized systems. Scientific Awards : ARC Laureate Fellowship (2023) Researcher of the Year (2016) Supervisor of the Year (2019) Vice Chancellor's Award for Global Strategy (2020) Premier's Prizes (2024) UOW Alumni Award (2024) He supervises multiple higher-degree research projects in areas like lattice reduction algorithms , deepfake detection , and blockchain regulation , and leads significant grants including the ARC-funded Secure Cloud Computing (2024-2029) and Enabling Anonymity for Blockchain (2020-2024). As director of the Institute of Cybersecurity and Cryptology (iC2), he oversees cutting-edge research infrastructure and collaborates across disciplines in AI security and satellite imaging applications.

• Computer Security
• Privacy Engineering
• Data Management
• +2 more

Nicolas ANCIAUX is a Research Director at INSA Centre Val de Loire and affiliated with LIFO (Laboratoire d'Informatique Fondamentale d'Orléans). His research focuses on privacy-enhancing technologies, data security, and applied cryptography, with emphasis on telework monitoring, LLM vulnerabilities, and secure data management systems. He collaborates extensively with institutions like Inria and international researchers. Research Interests: His work spans computer security, privacy engineering, and machine learning security. Key areas include: Privacy-enhancing technologies (PETs) for data minimization and consent Detection of privacy violations in telework environments via energy trails Membership inference attacks on large language models Secure extensible data systems with vulnerability mitigation Publications Focus: Recent articles (2024-2025) explore LLM security flaws, energy-based activity detection, and PET implementations. Themes include adversarial robustness, behavioral analytics, and technical-legal alignment in AI systems. Affiliations: Primary institutional links are with INSA Centre Val de Loire and LIFO. Collaborative networks include researchers from Université d'Orléans, Universidad Carlos III de Madrid, and Inria teams.

• Online coordination
• Collaboration
• Human-Computer Interaction
• +5 more

Jeremy Birnholtz is a Professor in the Department of Communication Studies at Northwestern University, with a courtesy appointment in Computer Science. He directs the Social Media Lab and leads the undergraduate Digital Media Module. His research focuses on online coordination, collaboration, and how individuals manage digital identity and privacy, particularly among marginalized communities. Education : PhD in Information Studies, University of Michigan MS in Information Studies, University of Michigan BS in Radio/TV/Film, Northwestern University Research Interests : Birnholtz examines digital interaction dynamics, including geosocial networking app usage, LGBTQ+ online self-presentation, and the societal impact of algorithmic systems. His work emphasizes marginalized groups' digital experiences, with funding from NSF, Google, and NSERC. Grants & Awards : Supported by major grants, though no named awards are listed in the provided text. Labs & Teams : Directs the Social Media Lab, focusing on human-centered design of digital tools to support equitable online interactions.

• Cybersecurity
• IoT Security
• Blockchain Technology
• +5 more

Doctor Nan Li is a faculty member at the University of Wollongong, Australia, where they hold a PhD from the same institution. Their research focuses on cybersecurity, IoT security, blockchain technology, and privacy-preserving cryptographic protocols. They have been actively involved in securing distributed systems, authentication mechanisms, and federated learning frameworks. Research interests include cryptographic protocol design, IoT threat mitigation, blockchain forensics, and educational technology innovation in computer science. Recipient of grants such as the Secure Private Cloud grant (2023) and the User-Centric Privacy-Preserving Techniques grant (2023). Current supervision of two PhD projects: leveraging generative AI for IoT security and pragmatic cryptography development. Recent work emphasizes policy-based authentication systems, oblivious location services, and mitigating attacks in federated learning. Their contributions span over 50 peer-reviewed publications, with notable advancements in chameleon hash functions and blockchain rewriting mechanisms. Teaching and supervision activities reflect a commitment to advancing secure technologies and educational methodologies in computer science and cybersecurity domains.

Alex PentlandView profile

Professor

• Computational Social Science
• AI Ethics and Governance
• Network Science
• +5 more

Alex 'Sandy' Pentland is the Toshiba Professor of Media Arts & Sciences at MIT, leading the Connection Science and Human Dynamics labs. A globally recognized pioneer in computational social science and AI ethics, he has advised over 60 PhD students and co-founded numerous ventures like the Data Transparency Lab. His work bridges academia, industry, and policy, focusing on network science, AI governance, and urban dynamics. Prof. Pentland’s research spans social physics, wearable computing (e.g., Google Glass), and privacy-preserving AI systems. He chairs advisory boards for tech giants and global institutions, advocating for data sovereignty and equitable AI frameworks. His books Social Physics and Honest Signals explore human behavior through data-driven lenses. Awards : Member of U.S. National Academy of Engineering, Forbes' '7 Most Powerful Data Scientists.' Labs : MIT Connection Science, Human Dynamics Lab, and co-founder of MIT Media Lab. Impact : Over 60 advisees now lead academia, industry R&D, and startups globally. His recent work addresses AI governance, digital economies, and pandemic-driven urban transformations. He advocates for transparent data cooperatives and regulatory frameworks to balance innovation with societal needs.

Madhusanka LiyanageView profile

Associate Professor

• Network Security
• 5G
• 6G
• +4 more

Madhusanka Liyanage is an Associate Professor/Ad Astra Fellow and Director of the Network Softwarization and Security Labs (NETSLAB) at University College Dublin's School of Computer Science. He holds adjunct and honorary professorships at the University of Oulu and universities in Sri Lanka. His research focuses on network security, 5G/6G technologies, blockchain, and AI-driven systems. He has authored/co-authored over 250 publications, secured €10M+ in research funding, and led major projects like the EU Horizon Europe initiatives. Notable awards include the 2020 IEEE ComSoc Outstanding Young Researcher Award and recognition as a World's Top 2% Scientist (2020–2024). Education: B.Sc. (First Class Honours) from University of Moratuwa (2009), M.Eng. (Asian Institute of Technology, 2011), M.Sc. (University of Nice Sophia Antipolis, 2011), D.Sc. (University of Oulu, 2016) Research Interests: 5G/6G, Blockchain, AI/ML, Federated Learning, IoT, Network Slicing His work spans security orchestration, quantum-resistant cryptography, and smart grid innovations. He has advised 24+ students, secured grants from EU, IRC, and industry partners, and contributed to standards via ENISA consultancy. Current projects include CONFIDENTIAL6G and ROBUST-6G, addressing privacy and security in next-gen networks.

Rameez AsifView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT)
• Wireless Communications
• +9 more

Rameez Asif is an Associate Professor at the School of Computing Sciences, University of East Anglia (UEA) since 2021. He specializes in cybersecurity, IoT, and AI, with a focus on securing interconnected systems and developing robust frameworks for threat detection and resilient IoT architectures. Previously, he held an Assistant Professor position at the University of Strathclyde (Glasgow, UK), where he researched energy systems and smart grids. He earned his PhD in Digital Backpropagation for Secure Optical Networks from Friedrich-Alexander University Erlangen-Nuremberg (Germany) in 2012, with additional research experience at DTU (Denmark) and the University of Cambridge (UK). His research interests span 5G/6G networks, wireless security, blockchain, cryptocurrencies, and metaverse technologies. He actively supervises PhD candidates and postdoctoral researchers in interdisciplinary projects. His work emphasizes practical applications, including secure localization algorithms, intrusion detection systems leveraging AI and blockchain, and optimizing IoT for smart cities. He serves on editorial boards for journals like MDPI and Frontiers Media. Rameez has over 130 publications in top-tier conferences and journals. His research addresses critical challenges in cybersecurity, edge computing, and emerging technologies, with collaborations across multiple countries and industries.

Dhananjay PhatakView profile

Associate Professor

• Cyber Security
• Computer Arithmetic
• Cryptology
• +7 more

Dr. Dhananjay Phatak is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He joined UMBC in 2000 and previously served as faculty at SUNY Binghamton. He holds a Ph.D. in Computer Engineering from the University of Massachusetts and a B.Tech. from IIT Bombay. His research focuses on Cyber Security, Computer Arithmetic, Cryptology, and Networking, with notable projects including the SMartER Power Grid and the Spread Identity paradigm. His research interests span Cyber Security (including DDoS defense, hardware security, and SCADA systems), Network Architecture (e.g., dynamic address remapping), and VLSI implementations of cryptographic algorithms. He has received the NSF Career Award (1999) and led grants from NSF, GE, and Aether Systems. He collaborates with the Cyber Defense Laboratory (CDL) and has patented innovations in secure communications over power grids and network identity management.

Martin GagnéView profile

Visiting Professor

• Cryptography
• Automated Verification
• Computer Security
• +3 more

Martin Gagné is a Visiting Professor in the Computer Science Department at Swarthmore College since at least 2018. He holds a Ph.D. in Computer Science from the University of California, Davis (2008). His research focuses on cryptography and automated verification of cryptographic protocols, including work on symmetric encryption, message authentication codes, and public-key encryption systems. He is currently involved in verifying the Norwegian government's e-voting protocol and exploring hardware token-based solutions to eliminate pairing operations in cryptosystems. Education: Ph.D. in Computer Science, University of California, Davis (2008) Research Interests: Automated verification of cryptographic protocols Pairing-based cryptography Efficient attribute-based encryption and signature algorithms Privacy-preserving systems in healthcare and e-voting Teaching: Current courses (Spring 2018): CS35 (Data Structures and Algorithms), CS35B/C Labs Past courses at Swarthmore: CS31 (Computer Systems), CS35 (Data Structures and Algorithms), CS91 (Computer Security) Past courses at Wheaton College: Comp 115 (Robots & Problem Solving), Comp 121 (Computing Theory), Comp 215 (Algorithms), Comp 375 (Theory of Computation), Comp 398 (Network Security) Publications: 10+ peer-reviewed articles in journals like Journal of Automated Reasoning and conferences including ESORICS, SCC, and Pairing. Key themes include block cipher verification, proxy re-encryption, and attribute-based systems. Labs/Teams: Active in cryptographic protocol analysis and security system design, collaborating on e-voting and healthcare privacy projects.

Jong-Deuk BaekView profile

Associate Professor

• Primary care delivery systems
• Health information technology
• Pay-for-performance
• +4 more

Jong-Deuk Baek is an Associate Professor and Division Head of the Division of Health Management & Policy at San Diego State University's (SDSU) Graduate School of Public Health. He holds a PhD in Health Services, Policy & Management from the University of South Carolina and an MBA and PhD in Business Administration from KyungHee University, Seoul. His research focuses on healthcare delivery systems, health IT, pay-for-performance models, and health disparities, with a particular emphasis on program evaluation and policy reform. Education includes advanced degrees in health services research and business administration, complemented by postdoctoral training at the South Carolina Rural Health Research Center. His professional experience spans roles at SDSU since 2008, including teaching courses on healthcare management, quality improvement, and health data analysis. He has advised numerous master’s theses and projects, focusing on topics like healthcare access, quality metrics, and patient safety. Research interests include global health systems, health information technology adoption, and interventions targeting vulnerable populations such as unhoused individuals and rural residents. Notable projects include studies on breast cancer care across the U.S.-Mexico border and the impact of housing instability on food insecurity. He has secured grants totaling over $1 million, including work on patient navigation programs and metastatic breast cancer initiatives. Awarded multiple teaching honors, including the Golden Apple Award (2016, 2018), he is actively involved in professional organizations like the American Public Health Association and the Association of University Programs in Health Administration. His service includes roles in academic program accreditation and community mentorship programs, emphasizing equitable healthcare access and policy advocacy.

Kelli-an LawranceView profile

Associate Professor

• Public Health
• Health Promotion
• Addiction Studies
• +5 more

Kelli-an Lawrance is an Associate Professor in the Department of Health Sciences at Brock University, Faculty of Applied Health Sciences. She specializes in public health research focusing on resilience and mental health in young adults, with a particular emphasis on strategies to mitigate substance use (e.g., smoking, vaping, cannabis). Her work integrates social marketing campaigns and student-driven initiatives like CopeCareConnect to promote authenticity, diversity, equity, and inclusion in mental health promotion. Her research explores how young adults manage distress and support peers, as well as decision-making around substance use cessation. She actively contributes to government advisory panels (e.g., Smoke-Free Ontario Scientific Advisory Committee) and presents at national conferences on tobacco and cannabis policy. Her teaching portfolio includes courses like Constructing Health Campaigns and Issues in Canadian Health Policy. Lawrance collaborates with graduate and undergraduate students on projects investigating intervention effects on individual and institutional resilience. Her publications emphasize smoking cessation strategies, campus tobacco practices, and evidence-based health interventions.

Félix Jesús García ClementeView profile

Professor

• Cybersecurity
• Data Analysis
• IoT Networks
• +5 more

Félix Jesús García Clemente is a Full Professor at the Department of Computer Engineering, University of Murcia. He holds a PhD in Computer Science (2006) from the same institution. His research focuses on cybersecurity, data analysis, IoT networks, and gamification in education. He leads projects funded by entities like INCIBE, the European Defence Fund, and the Ministry of Defence, with total funding exceeding €41 million. Key projects include DEFENDER (cybersecurity in IoT/5G labs), SEMANTIC (game-based assessments), and EU-GUARDIAN (AI-based cyber defense). He has published widely in areas like anomaly detection, smart farming, and medical cybersecurity. His work integrates machine learning, deep learning, and industrial automation. He collaborates internationally on initiatives such as PALANTIR (SME cybersecurity) and 5GZORRO (5G security). His lab, CyberDataLab UMU, develops solutions for cybersecurity and data science. Projects like COBRA and SAFEMAN address APT simulations and industrial safety.

Vivek K. SinghView profile

Assistant Professor

• Machine Learning
• Cloud Computing
• Healthcare Analytics
• +5 more

Dr. Vivek K. Singh is an Assistant Professor in the Department of Information Systems and Technology at the University of Missouri-St. Louis's College of Business Administration. He holds a Ph.D. in Information Systems from the University of South Florida (2019), a Master of Technology in Information Technology from IIIT-Bangalore (2011), and a Bachelor of Science in Information Technology from Muzaffarpur Institute of Technology (2008). His research focuses on machine learning applications in healthcare analytics, cloud computing security, business analytics, and data-driven decision-making. Dr. Singh has over 7.5 years of combined academic and industry experience in business analytics, cloud computing, and cybersecurity. His work has been published in prestigious journals like the Journal of the American Medical Informatics Association and conferences such as the Hawaii International Conference on System Sciences (HICSS) and the International Conference on Information Systems (ICIS). He has also contributed to patents in secured cloud systems and proactive threat prediction. His teaching expertise includes courses on data science, business intelligence, and system analysis. He has developed tutorials for R and Python programming, emphasizing practical data science skills. Dr. Singh is actively involved in grant applications focusing on AI and cybersecurity workforce development and collaborates with organizations like OnQ Analytics for industry-driven research. He has received awards including the NUS Graduate Scholarship (2014) and the MUMA Doctoral Summer Research Grant (2016). His research interests also extend to healthcare informatics, telecommunication systems, and collaborative software ecosystems.

Muhammad Shahwaiz AfaquiView profile

Senior Lecturer

• Radio Resource Management
• Wireless Networks
• Internet of Things (IoT)
• +4 more

Muhammad Shahwaiz Afaqui is a Senior Lecturer in Electrical and Electronics Engineering at Teesside University’s School of Computing, Engineering and Digital Technologies. His academic journey includes a PhD in Networks Engineering (2017) from Technical University of Catalonia (UPC) and an MSc in Wireless Systems (2009) from KTH Royal Institute of Technology. His career spans postdoctoral research at Maynooth University and Universitat Oberta de Catalunya, and a Senior Researcher role at i2CAT Barcelona. Current Role: Senior Lecturer, Teesside University Education: PhD (UPC), MSc (KTH), BSc (COMSATS) External Experience: Two postdoctoral terms and prior lecturing at COMSATS His research focuses on radio resource optimization in wireless networks, including frequency/energy/interference management , cross-layer design , and 3GPP LTE-WLAN aggregation . Recent work addresses NB-IoT NTN solutions for LEO satellites. He has contributed 22+ peer-reviewed publications and led projects like ORCA and SFI Connect Centre. Key research trends include Wi-Fi optimization (IEEE 802.11ax), energy harvesting for IoT, and MAC layer innovations . His work intersects networking , IoT , and reinforcement learning . Scientific Awards Fellow of the Higher Education Academy (FHEA) Associate Fellow of the Higher Education Academy (AFHEA) Dr. Afaqui actively supervises PhD students and collaborates internationally. His projects involve dynamic sensitivity control , harq protocols , and ns-3 simulations , with applications in rescue operations and sustainable communication.