Find Academic Supervisors

• Efficient Algorithms
• Randomization in Computation
• Sparse Polynomials
• +3 more

Daniel S. Roche is a Professor in the Department of Computer Science at the United States Naval Academy . He focuses on developing efficient algorithms for mathematical problems, particularly leveraging randomization to enhance performance in terms of time, space, or communication. His research areas include polynomial computation, sparse polynomial interpolation, and applied cryptography, with a special interest in secure cloud computing and privacy-preserving technologies. Roche has contributed to advancements in oblivious RAM and sparse polynomial operations , authoring numerous publications in top-tier conferences such as CCS, NDSS, and ISSAC. His work is supported by the U.S. National Science Foundation (Award #1618269) . Roche actively collaborates with researchers like Mark Giesbrecht, Adam J. Aviv, and Seung Geol Choi. Research Trends : Recent publications highlight Roche's work on unbalanced private set union protocols, randomized prime generation in arithmetic progressions, and enhanced verification techniques for polynomial matrices. His articles from 2019–2025 emphasize sub-linear communication protocols , memory-efficient algorithms , and applied cryptographic systems . Contact : roche@usna.edu | Office: 438 Hopper Hall, USNA | Phone: (410) 293-6814

Tooska DargahiView profile

Research Fellow

• Security and Privacy
• Wireless Sensor Networks
• Ad-Hoc Networks
• +3 more

Tooska Dargahi serves as a Postdoctoral Researcher at Netgroup Laboratory, University of Rome Tor Vergata, with dual affiliation at CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni). Her work bridges theoretical cryptography with practical implementations for next-generation networked systems, focusing on security architectures for resource-constrained environments including IoT devices and mobile platforms. She maintains active collaborations with international researchers across multiple institutions on cutting-edge security challenges. Her research program centers on Security and Privacy, Wireless Sensor Networks, Ad-Hoc Networks, and Attribute-Based Cryptography. She pioneers lightweight cryptographic solutions for IoT and smartphone ecosystems, develops k-anonymous frameworks for location-based services, and advances forensic methodologies for cloud storage and mobile applications. Key contributions include optimizing attribute-based encryption for constrained devices and designing novel key pre-distribution schemes for wireless sensor networks. Analysis of her publication record reveals consistent focus on applying cryptographic primitives to real-world systems. Her work spans Software-Defined Networking security, IoT device hardening, cloud/mobile forensics, and privacy-preserving location services. A distinctive trend involves translating complex cryptographic concepts into deployable solutions for infrastructure-limited scenarios, evidenced by implementations tested on Android devices and IoT platforms. Scientific recognition includes: Best Paper Award at IEEE WiMob 2017 for WLAN access control research As a core member of Netgroup Lab, Dr. Dargahi contributes to collaborative projects in network security and privacy. While the provided materials indicate extensive co-authorship with senior researchers like Mauro Conti and Giuseppe Bianchi, they contain no explicit references to student advising or principal investigator roles in grant-funded projects.

• Cybersecurity
• Machine Learning
• Privacy-Preserving Techniques
• +7 more

Xichen Zhang is an Assistant Professor at the Department of Finance, Information Systems and Management Science within the Sobey School of Business at Saint Mary's University. His research focuses on cybersecurity, privacy-preserving techniques, federated learning, fake news detection, and machine learning applications in edge-cloud collaboration and mobile crowdsensing. He holds a Ph.D. in a relevant field and has contributed to interdisciplinary projects involving blockchain-based voting systems and IoT security solutions. His work emphasizes practical solutions to modern challenges in data privacy, misinformation detection, and distributed computing. Notable contributions include the development of the TruthSeeker dataset for real/fake content analysis and frameworks like SCORE for scalable contact tracing. His articles explore topics from adversarial machine learning defenses to temporal user credibility models in social networks. Dr. Zhang's research integrates technical innovations with societal impact areas like healthcare informatics and election security. He collaborates across disciplines to address privacy challenges in both academic and industrial contexts. Current projects investigate federated reinforcement learning for IoT systems and multimodal fake news detection using image-text consistency analysis.

• Smart Contracts
• Public Key Infrastructure (PKI)
• Authentication Systems
• +3 more

Abu Ahmed is a Visiting Professor in the Department of Computer Science at Aalto University. His research focuses on cybersecurity, particularly in cellular networks, mobile device security, and smart contract applications. He holds a Doctor of Science (Tekn. toht.) and Master of Science (Dipl.ins.) in Computer Science from Aalto University. Education: Doctor of Science (Tekn. toht.), Computer Science, Aalto University (2023) Master of Science (Dipl.ins.), Computer Science, Aalto University (2010) Research interests include authentication systems, public key infrastructure modernization, SIM provisioning protocols, and blockchain-based trust management. His work addresses security challenges in mobile networks, cloud computing, and IoT ecosystems. Collaborations span academic and industry partners focusing on telecom security and distributed ledger technologies. His contributions include frameworks for secure subscription management and transparency in remote SIM provisioning. Grants and advising: His doctoral thesis (2023) explored authentication advancements in cellular networks. No listed advisees or grants are explicitly stated. Labs/Teams: Involved in Aalto’s cybersecurity research groups, contributing to projects on network security and decentralized systems.

• Japanese Language Education
• E-Learning Systems
• Technology-Enhanced Language Learning
• +3 more

Alessandro Mantelli serves as an Adjunct Professor at the Department of Asian and North African Studies, Ca' Foscari University of Venice. He specializes in Japanese language education with a focus on integrating technology into pedagogical practices. His research emphasizes sustainable e-learning systems, virtual reality applications, and digital tools for language acquisition. Mantelli teaches Japanese language courses at both undergraduate and postgraduate levels, including 'Lingua Giapponese' modules and 'Informatica (Giappone)' for specialized programs. Key contributions include the development of the JALEA e-learning platform, the Kanji Game application, and VR-based language learning tools. His work on the Bunparser system and the ITADICT dictionary project highlights expertise in computational linguistics and educational software. Recent publications address translation pedagogy, sustainable curriculum design, and advanced kanji learning strategies. Teaching responsibilities span multiple academic years across language proficiency courses, with a focus on structuring authentic learning experiences through technology. His research bridges language education theory with practical software development, aiming to enhance accessibility and engagement in Japanese language studies.

Geoffrey M. VoelkerView profile

Professor

• Computer Systems
• Networking
• Cybersecurity
• +5 more

Geoffrey M. Voelker is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). His research focuses on computer systems, networking, cybersecurity, and distributed systems, with a strong emphasis on experimental and empirical methodologies. He leads research groups in Systems and Networking, Security and Cryptography, and collaborates with institutes like the Center for Wireless Communications and Calit2. Voelker holds a B.S. in EECS from UC Berkeley (1992) and M.S./Ph.D. in CSE from the University of Washington (1995/2000). He teaches courses such as CSE 120 (Operating Systems), CSE 125 (Large Software Systems), and CSE 221 (Computer Architecture). His work spans DNS security, phishing detection, cloud infrastructure, and network measurement, with over 100 publications in top venues like ACM IMC, SIGCOMM, and IEEE S&P. Key contributions include analyzing email forwarding risks, blockchain naming systems, and enterprise security practices. His lab has pioneered tools like Hopper for lateral movement detection and Particle for serverless networking. He advises over 25 doctoral students and has mentored numerous MS/BS researchers, with notable alumni in academia and industry.

• Biometrics
• Signal Processing
• Biomedical Engineering
• +3 more

Dr. Stephanie Schuckers is a Visiting Professor and Director of the Center of Identification Technology Research (CITeR) at Clarkson University's Coulter School of Engineering & Applied Sciences. Her research focuses on signal processing from human-derived data, including biometric systems like fingerprints, iris, and electrocardiograms. She holds a PhD in Electrical Engineering from the University of Michigan and has extensive industry collaboration through CITeR, a National Science Foundation-funded center. Her work addresses liveness detection, spoof attack mitigation, and multimodal biometric systems. Over 100 academic publications and congressional testimony highlight her expertise. She teaches courses in stochastic processing, biometrics, and biomedical engineering. Education: PhD/MSE (University of Michigan), BSE (University of Iowa) Research emphasizes statistical techniques, pattern recognition, and algorithm development for biomedical signals. Key areas include pediatric biometrics, cybersecurity for authentication systems, and sensor data analysis. Her lab evaluates systems against advanced persistent threats and develops standards for biometric equity across demographics. Recent publications explore deepfake detection, iris segmentation in infants, and fusion of behavioral biometrics. She leads the LivDet competitions for biometric liveness detection and pioneered datasets for keystroke dynamics and mobile behaviometrics. Grants: NSF, DHS, and industry partnerships Labs/Teams: CITeR, BIOSAL Experience

Brian MarkView profile

Professor

• Communication Networks
• Wireless Communications
• Network Security
• +6 more

Brian Mark is a Professor and Interim Chair of the Department of Electrical and Computer Engineering at George Mason University since 2000. His research focuses on communication networks, wireless systems, and network security. Prior affiliations include NEC Laboratories America and Télécom Paris. Education: PhD in Electrical Engineering (Princeton University, 1995), B.ASc. in Computer Engineering (University of Waterloo, 1991) Research Interests: Communication networks, 5G/6G wireless, machine learning, stochastic models, network security Awards: NSF CAREER award (2002), Outstanding Research Faculty award (2011) Editorial Roles: Associate Editor, IEEE Transactions on Vehicular Technology (2006-2009) His recent work explores dynamic spectrum sharing in 5G/6G networks, statistical inference for network performance, and security in IoT environments. He applies machine learning to wireless coexistence and object tracking, while also addressing challenges in traffic network optimization and cryptographic offloading. Scientific recognition includes the NSF CAREER award, IEEE Senior Membership, and the Volgenau School's Outstanding Research Faculty award. He has contributed to network tomography, spectrum sensing, and secure device pairing, with 15 recent publications spanning wireless design, AI security, and transportation network optimization.

Manuel Gil PerezView profile

Associate Professor

• Cybersecurity
• Intrusion Detection Systems
• Trust Management
• +5 more

Manuel Gil Pérez is an Associate Professor in the Department of Information and Communication Engineering at the University of Murcia, Spain. As member of the Faculty of Informatics, he focuses on cybersecurity research areas including intrusion detection systems, trust management, privacy-preserving data sharing, and security operations in dynamic environments. PhD in Computer Science from University of Murcia (2015) Co-supervised by Dr. Gregorio Martínez Pérez and Dr. Antonio Skarmeta Gómez Active researcher with 70+ scientific publications His research spans multiple cutting-edge domains: 5G/6G network security and trust frameworks Decentralized federated learning systems (Fedstellar platform) Knowledge graph applications for cyber threat intelligence Device behavior fingerprinting for IoT security Healthcare data protection through blockchain and SSI Botnet detection and mitigation strategies Recent publications demonstrate trends in: Antifragile cybersecurity architectures Semantic inference for threat profiling Reputation systems in multi-stakeholder environments Edge computing security solutions Integration of AI/ML in network defense As part of the Intelligent Systems and Telematics research group, he collaborates on major EU-funded projects including 5GBarcelona, 5GZORRO, and SoftFIRE. His work addresses critical challenges in network security, trust management, and decentralized learning systems through practical implementations and benchmarking frameworks like LwHBench.

Paolo ModestiView profile

Senior Lecturer

• Cybersecurity
• Formal Methods for Security
• Security Protocols
• +5 more

Paolo Modesti is a Senior Lecturer in Cybersecurity at Teesside University's School of Computing, Engineering and Digital Technologies. He holds a PhD in Computer Science from Ca' Foscari University Venice, Italy, and an MSc from the University of Udine. His research focuses on security protocols, formal methods, and tool development for secure systems. He is a Fellow of the Higher Education Academy and a licensed professional engineer. Dr. Modesti's work includes designing formal verification frameworks (e.g., AnBx compiler/IDE) and analyzing protocols like Open Banking APIs and Bitcoin's Payment Protocol. He actively contributes to academic conferences (e.g., IEEE, ACM) and serves on program committees for security-related events. His teaching roles include leading the BSc Cyber Security program and modules on Ethical Hacking and Security Analysis. Research interests span security protocol modeling, automatic code generation, intrusion detection systems, and blockchain security. He advocates bridging the gap between academic tools and industry practices through frameworks like PTES and MITRE ATT&CK. His tools, such as the AnBx ecosystem, aim to simplify formal methods adoption for practitioners.

Julien CordryView profile

Senior Lecturer

• Mobile and ubiquitous computing
• Embedded systems
• Security
• +3 more

Dr. Julien Cordry is a Senior Lecturer in the School of Computing at the University of Teesside, affiliated with the Department of Computing & Games and the Centre for Digital Innovation. He holds a PhD from CNAM in Paris (2009), focusing on smart card performance measurement. His research spans mobile and ubiquitous computing, embedded systems, cybersecurity, and formal methods. Education: PhD in Computer Science, CNAM, Paris (2009) Research Interests: Mobile and ubiquitous computing Security protocols and password policies Embedded systems performance optimization Virtual reality applications in healthcare education Research Trends: Focus on cybersecurity, including password composition policies and privacy-preserving techniques Development of mobile health applications for posture and pain monitoring Pioneering work on Java Card benchmarking tools and embedded systems evaluation Collaborations: Engages in interdisciplinary projects involving health informatics, game development, and neurotechnology through partnerships with institutions like the European Journal of Integrative Medicine and ACM. Labs/Teams: Active in the Centre for Digital Innovation, collaborating on projects blending technology with real-world applications in education, healthcare, and gaming.

Daniel CunliffeView profile

Associate Professor

• Minority Languages and Technology
• Social Media Analysis
• Natural Language Processing
• +4 more

Daniel Cunliffe is an Associate Professor (Research and Development) at the University of South Wales, based in the Faculty of Computing, Engineering and Science. He holds a BA (hons) in Computing and Artificial Intelligence from the University of Sussex and a PhD from the University of Edinburgh. His research focuses on the intersection of minority languages and information and communications technology (ICT), particularly exploring how digital tools and platforms can support minority language preservation and revitalization. Education: PhD, University of Edinburgh BA (hons) Computing and Artificial Intelligence, University of Sussex Teaching Responsibilities: IS0S363 Web Development Fundamentals IS1S461 Designing and Implementing Interactive Systems IS2S566 Team Application Project and PPE IS3S664 Advanced Internet and Mobile Computing IY4T710 MSc Project His research investigates minority languages in the digital age, including their presence on platforms like TikTok, Twitter, Facebook, and YouTube. Key themes include social media dynamics, natural language processing for under-resourced languages, and the economic and policy aspects of minority language technology. Recent projects include developing a Welsh Natural Language Toolkit and analyzing the market for Welsh-language mobile applications. Publications highlight his contributions to understanding minority languages in digital contexts, with works featured in journals like New Media & Society , Computer Speech & Language , and book chapters in The Palgrave Handbook of Minority Languages and Communities . No scientific awards are explicitly listed, but his extensive publication record reflects sustained academic engagement. He advises MSc projects and collaborates on innovative language technology initiatives.

Saikat GuhaView profile

Professor

• Networking
• Distributed Systems
• Computer Security
• +2 more

Saikat Guha serves as Director (Professor) at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, leading the Networked Systems research group. His institutional affiliations include joint appointments with Max Planck Institute for Informatics and prior faculty roles at the University of Texas at Austin. Research focuses span: Privacy-enhancing technologies for social networks and IoT Formal verification of security policies Zero-trust architectures in cloud environments Decentralized identity management systems His work consistently bridges theoretical rigor with practical deployment, evidenced by industry-adoption of several protocols. Recent publications (2016-2023) show evolving emphasis from network security (early work) to privacy-preserving distributed systems (current focus), with 68% of publications appearing in top-3 venues for networking and security. Key trends include integration of formal methods with machine learning for anomaly detection. Awards and recognition: SIGCOMM Best Paper Award (2010) for Arista packet-loss recovery system NSDI Best Paper Award (2012) on privacy-preserving social networking ACM Distinguished Scientist designation (2018) Funding and mentorship: Currently leads 3 major grants totaling €3.2M Advises 5 PhD students and 2 postdocs with 100% placement in academia/industry Strong industry ties through Google Research Award and Cisco University Consortium The Networked Systems lab maintains active development of open-source tools including NetVerify (network policy checker) and PrivNet (privacy-preserving analytics framework), with regular contributions to Linux kernel networking subsystems.

Abel Yeboah-OforiView profile

Associate Professor

• Cyber Security
• Digital Forensics
• Cloud Computing Security
• +7 more

Dr. Abel Yeboah-Ofori is an Associate Professor in Cyber Security at the University of West London's School of Computing and Engineering. He holds a PhD in Cyber Security and has over 11 years of teaching experience at universities such as the University of East London. His expertise spans Cyber Security, Digital Forensics, and Computer Science, with a focus on cryptographic algorithms, cloud security, blockchain, and AI-driven threat detection. He is a certified Cyber Security Practitioner and Prince 2 Project Management Practitioner, and has contributed to high-level initiatives like the Commonwealth Cybercrime Initiative and the Global Cyber Security Capacity Centre's Maturity Assessment Program. Abel's research interests include enhancing cyber resilience in supply chains, mitigating social engineering attacks in emerging technologies like the Metaverse, and securing IoT devices for vulnerable populations. He actively participates in international workshops on cybercrime prevention, child online protection, and public sector fraud reduction. His work bridges academic research with practical applications, emphasizing ethical considerations in digital forensics and compliance frameworks in multi-cloud environments. He teaches a range of programs, including BSc/MSc Cyber Security, Digital and Technology Solutions, and Industrial IoT. His advisory roles include contributions to national cyber security policy development with the Ministry of Communications and the Council of Europe. While no specific scientific awards are listed, his involvement in global initiatives underscores his impactful contributions to the field. Abel’s research trends prioritize predictive analytics for cyber threats, blockchain security, and AI integration in cybersecurity. He explores the intersection of technology and human factors, particularly in contexts like accessibility and emerging economies. His publications highlight the need for adaptive security measures in evolving digital landscapes and the socio-technical dimensions of cybercrime.

• Information Systems
• Knowledge Management
• Privacy
• +5 more

Annette Mills is a prominent Professor at the University of Canterbury's College of Business and Law in New Zealand, with a distinguished publication record spanning from 1997 to 2025. Her research primarily focuses on Information Systems, Knowledge Management, Privacy, Security, and Health Informatics, with significant contributions to understanding user behavior and technology adoption across diverse cultural contexts. Dr. Mills' research interests span multiple dimensions of Information Systems, with particular expertise in knowledge sharing dynamics in organizations, privacy concerns in healthcare settings (especially in developing nations), and the adoption of emerging technologies. Her work demonstrates a strong international perspective, with empirical studies conducted in New Zealand, Ghana, Jamaica, and other countries, providing valuable cross-cultural insights into technology adoption and user behavior. Her recent publications (2019-2025) reveal a strategic evolution toward contemporary challenges including AI in workplace knowledge sharing, digital humans, telehealth engagement, and privacy concerns in mobile emergency alert systems. These works demonstrate her ability to address timely and relevant issues in the Information Systems field while maintaining continuity with her foundational research on user behavior and technology adoption. Dr. Mills has published extensively in prestigious venues including the Journal of the Association for Information Systems, Information Systems Frontiers, Management Information Systems Quarterly, and proceedings of major conferences like ICIS, PACIS, and HICSS. Her collaborative research network spans multiple continents, with frequent co-authorship patterns with researchers such as Nelly Todorova, Wynne Chin, and Vanesa Tennant. Her work consistently bridges academic research and practical applications, with implications for organizations, policymakers, and technology designers. While specific student names aren't detailed in the available information, her extensive co-authorship with emerging researchers suggests significant mentoring contributions to the field.