Find Academic Supervisors

Alex BiryukovView profile

Professor

• Applied Cryptography
• Cryptanalysis
• Authenticated Encryption
• +4 more

Alex Biryukov is a full professor in Cryptography and Information Security at the University of Luxembourg, affiliated with the Computer Science and Communications Research Unit (CSC) and the Interdisciplinary Centre for Security, Reliability and Trust (SnT). Previously, he served as an associate professor and visiting professor at K.U.Leuven, contributing to European standards (NESSIE) and ECRYPT consortia. His expertise spans applied cryptography, cryptanalysis, lightweight cryptography for IoT, cryptocurrency security, and privacy technologies like Tor and blockchain. Biryukov has held roles as program chair for FSE'07, SAC'10, and INDOCRYPT'15, and is a program committee member for top conferences including CRYPTO and CCS. He leads the FNR CORE project ACRYPT on lightweight cryptography for IoT and contributes to the COST Action IC1403 on cryptanalysis of ubiquitous systems. His teaching focuses on symmetric cryptography, network security, and real-world applications. Biryukov earned his M.Sc. and Ph.D. from the Technion and completed postdoctoral research at the Weizmann Institute under Adi Shamir. Research interests include cryptanalysis of block ciphers (e.g., AES, SIMON, SPECK), cryptocurrency protocols, and privacy-enhancing technologies. He has pioneered attacks on AES variants and contributed to lightweight algorithms like SPARX and Argon2. Biryukov's work bridges theoretical cryptography with practical implementations, addressing security in embedded systems and blockchain.

Leonardo BonatiView profile

Researcher

• Wireless Communications
• Telecommunications
• Network Security
• +4 more

Leonardo Bonati is an Associate Research Scientist in the Department of Electrical and Computer Engineering at Northeastern University. He specializes in cutting-edge wireless communication systems, particularly focusing on Open RAN, 5G/6G networks, and AI-driven network intelligence. His work emphasizes automated testing, network slicing, and security in software-defined cellular systems. He leads and contributes to high-profile projects such as AutoRAN and DigiRAN, funded under the CHIPS and Science Act, which aim to enhance open and disaggregated cellular network testing and digital twin frameworks. His research also involves experimental platforms like Colosseum and OpenAirInterface for large-scale wireless emulation and real-world testing. Key research interests include: AI-based network control (via dApps/xApps), digital twins for network validation, zero-touch deployment, and security in O-RAN interfaces. He holds multiple patents on topics ranging from network slicing to private 5G connectivity through steganography. Notably, Bonati was recognized among the top 2% most-cited scientists globally in 2024 by Stanford University. He collaborates actively with industry and academia on next-generation cellular technologies, contributing to both theoretical advancements and practical implementations. His advising and grant activities include co-PI roles on major initiatives like AutoRAN (testing automation) and DigiRAN (high-fidelity digital twins), totaling over $4M in funding. Bonati’s work bridges academic research and industry-ready solutions through platforms like Colosseum and the Open RAN Gym.

Salvatore D'OroView profile

Academic

• Open RAN
• Network Slicing
• 5G/6G Security
• +4 more

Salvatore D'Oro is an Associate Research Professor in the Department of Electrical and Computer Engineering at Northeastern University, affiliated with the Institute for the Wireless Internet of Things (WIoT). He holds a PhD from the University of Catania (2015), with postdoctoral and visiting research stints at Ohio State University and Université Paris-Sud 11. His research focuses on Open RAN, network slicing, AI-driven networking, and 5G/6G security. He is a co-PI on CHIPS Act-funded projects like AutoRAN and DigiRAN, emphasizing automated testing and digital twins for O-RAN systems. He has authored numerous patents, including frameworks for drone network control and O-RAN efficiency. Recognized in the 2024 Stanford top 2% cited scientists and recipient of a 2019 Best Paper Award for HIRO-NET, his work spans theoretical advancements and practical implementations in wireless systems. Education: B.S./M.S. in Computer/Telecommunications Engineering, University of Catania (2011–2012) PhD in Telecommunications, University of Catania (2015) Postdoctoral Researcher at University of Catania (2016) Research Interests: Open RAN and O-RAN Network Slicing AI/ML for Network Intelligence 5G/6G Security and Private Connectivity Automated Testing and Digital Twins in Cellular Networks Key Projects: AutoRAN: Automated End-to-End Testing for Open Cellular Systems DigiRAN: Digital Twins for O-RAN Security and Performance Colosseum: Large-Scale Wireless Experimentation Platform Awards: 2024 Stanford Top 2% Cited Scientists 2019 IEEE WoWMoM Best Paper Award 2015 Francesco Carassa Award Labs/Teams: Wireless Networks and Embedded Systems Lab (Northeastern) Collaborations with industry partners on O-RAN and 5G/6G systems

• Distributed Systems
• Networks
• Security
• +5 more

Patrick Thomas Eugster is a Full Professor of Computer Science at the Università della Svizzera italiana (USI), leading the Software Systems (SWYSTEMS) group within the Computer Systems Institute, which he co-founded. Previously, he held faculty positions at Purdue University (2005-2016) and TU Darmstadt (2014-2017), with a visiting role at MIT (2012/2013). His research focuses on distributed systems, networking, security, and programming languages, with over 160 publications and significant industry collaborations with companies like Amazon, Google, and Facebook. Education: He holds an M.S. (1998) and Ph.D. (2001) in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: His work addresses distributed systems challenges such as fault-tolerance, security, and efficient resource management. Recent topics include datacenter reliability, quantum network verification, and confidential computing. His team explores intersections between systems, languages, and networks to build robust and secure distributed applications. Publications: Recent work spans topics like failure detection in datacenters, formal verification of systems, and network congestion control. Key venues include USENIX ATC, ACM SIGMETRICS, IEEE Network, and TACAS. His 2025 work on failure detection and TCAM encoding exemplifies contributions to system resilience and hardware optimization. Awards: Jean-Claude Laprie Award (2025), TACAS Best Paper (2025), ERC Consolidator Grant (2014), NSF CAREER Award (2007). Advising & Grants: Supervised over 20 PhD and postdoctoral researchers. Active grants include EU Horizon Europe CloudStars, Swiss National Science Foundation, and industry partnerships with Cisco and SAP. Labs & Teams: Directs the SWYSTEMS group, collaborating on projects like secure cloud analytics, quantum network verification, and datacenter monitoring. Former students hold roles at universities, tech firms, and startups.

Wonjun LeeView profile

Assistant Professor

• Artificial Intelligence
• Security Analytics
• Deep Learning
• +4 more

Wonjun Lee is an Assistant Professor of Artificial Intelligence at the Katz School of Science and Health at Yeshiva University . His academic journey includes a Ph.D. and M.S. from Purdue University (2011 and 2002, respectively) and a B.A. from Korea University (2000). Educational Background Ph.D., Purdue University, 2011 MS, Purdue University, 2002 BA, Korea University, 2000 Dr. Lee specializes in AI-based analytics platforms for multidisciplinary applications, focusing on knowledge-based response systems inspired by human immunology. His work explores scalable AI models for cloud-based information and communication systems (ICS), leveraging lightweight virtualization and microservice architecture. He collaborates with institutions like NOAA , University of Texas at San Antonio (UTSA) , Auburn University , and University of Georgia . His research spans AI-driven cybersecurity, including analysis of malign network traffic and IoT privacy issues. At Samsung , he previously led cybersecurity projects such as mobile app penetration testing and cloud computing assessments. Recent publications highlight his expertise in encrypted network traffic detection using Perlin Noise and CNNs, container rootkit detection, and cache event analysis on AMD Zen micro-architecture. These works reflect his integration of AI with cybersecurity and hardware-level analysis.

Akanksha SainiView profile

Lecturer

• Cybersecurity
• Health Informatics
• Distributed Computing
• +4 more

Dr. Akanksha Saini is a Lecturer at RMIT University's School of Accounting, Information Systems, and Supply Chain. Her research focuses on cybersecurity, distributed systems, health informatics, and blockchain applications in healthcare. She holds an ORCID identifier (0000-0002-7191-2854) and is open to supervising Masters and PhD students in cyber security and related fields. Research Interests: Cybersecurity and Privacy Blockchain Technology in Healthcare Artificial Intelligence Applications Quantum Computation Supply Chain Management Health Informatics Systems Key Contributions: Pioneering work on securing distributed networks for IoT intrusion detection Developed blockchain-based frameworks for medical data sharing and access control Established collaborations with industry and international researchers Publications Highlight: Recent articles (2021–2025) emphasize blockchain applications in healthcare, federated learning, and cybersecurity challenges in the GenAI era. Over 30+ peer-reviewed papers in journals like Journal of Information Security and Applications and IEEE Internet of Things Journal . Supervision and Collaboration: Available to supervise research in cyber security and AI Industry partnerships align with national research priorities Co-authored papers with global collaborators in cryptography and health informatics Labs and Teams: Engaged in interdisciplinary projects at RMIT's School of Accounting, Information Systems, and Supply Chain, with a focus on real-world industry applications.

Christopher AyalaView profile

Professor

• Superconductor Electronics
• Adiabatic Computing
• Quantum Computing
• +2 more

Christopher Ayala is a Professor at Yokohama National University's Institute of Advanced Sciences, where he directs research in the Quantum Information Research Center. His work focuses on energy-efficient superconductor computing architectures, particularly adiabatic quantum-flux-parametrons (AQFPs) for next-generation computing systems. Dr. Ayala's group develops superconducting processors, memory systems, and control architectures for quantum computing applications. Research areas include: Adiabatic superconductor microprocessors Fully homomorphic encryption hardware Quantum computing control systems Superconductor logic families Cryogenic computing architectures His team pioneered the world's first adiabatic superconductor microprocessor, recognized by IEEE Spectrum and Superconductor Week. Dr. Ayala received the Best Young Scientist Paper Award at the European Solid-state Device Research Conference for his work on nanoelectromechanical switches.

YANG YaxiView profile

Research Fellow

• Secure Computation
• Applied Cryptography
• Privacy Preserving Data Processing
• +3 more

Dr. YANG Yaxi is a Research Fellow at iTrust, Singapore University of Technology and Design (SUTD), Singapore. She specializes in secure computation, applied cryptography, and privacy-preserving data processing. Her work emphasizes cryptographic techniques for real-world data challenges, including genomic data security, query optimization, and protecting against malicious actors. She holds a B.Sc. (2017) and Ph.D. (2023) in Information Security from Jinan University, Guangzhou, China. Her research interests focus on developing systems that ensure data privacy while maintaining computational efficiency, such as privacy-preserving queries, secure multi-party computation, and protocols for large-scale databases. Her recent articles explore advancements in technologies like oblivious PRFs, range-constrained intersection queries, and certificate-based encryption. These contributions highlight her commitment to enhancing security in outsourced environments and biomedical applications. Dr. Yang collaborates within the iTrust research group at SUTD, which specializes in trustworthy computing and information security. Her work addresses cutting-edge issues in privacy-preserving data processing and secure collaborative systems.

Md Liakat AliView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Behavioral Biometrics
• +3 more

Md Liakat Ali is an Associate Professor in the Department of Computer Science and Physics at Rider University, New Jersey. He holds a Ph.D. in Computer Science from Pace University and multiple Master's degrees from Blekinge Institute of Technology and International Islamic University Chittagong. His academic career includes roles at Rider University since 2018, prior positions at Caldwell University, Rowan University, and adjunct roles at several institutions. His research focuses on Machine Learning, Artificial Intelligence, Behavioral Biometrics, Cybersecurity, and Data Science. Notable contributions include studies on keystroke dynamics for authentication, phishing detection, and cybersecurity threats. He has received grants including an NSF award (Co-PI) for STEM education and multiple Best Paper Awards at IEEE conferences (2022, 2021, 2018, 2017). Ali has authored/co-authored over 40 publications, including a book on wireless security and journals in Electronics , IEEE Transactions , and conference proceedings. His work spans fraud detection, healthcare analytics, and blockchain security. He has led presentations on topics like biometrics, neural networks, and cybersecurity at international venues such as CVCI, IVSP, and IEEE conferences. Education: Ph.D., Computer Science, Pace University, New York M.S., Electrical Engineering, Blekinge Institute of Technology, Sweden B.S., Computer Science & Engineering, International Islamic University Chittagong His grants include NSF funding for STEM education initiatives and a Rider University grant for online course development. He has collaborated on projects like CUE-T to broaden computing participation and enhance active learning strategies. Ali’s lab focuses on cybersecurity, biometric systems, and machine learning applications. His research teams address challenges in fraud detection, medical diagnosis, and secure software development, reflecting his interdisciplinary approach to technological innovation.

Michael RosulekView profile

Professor

• Cryptography
• Secure Computation
• Garbled Circuits
• +3 more

Michael Rosulek is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University, focusing on cryptography and secure computation. He received his Ph.D. in Computer Science from the University of Illinois and a B.S. in Computer Science from Iowa State University. Professor, Oregon State University (2025-present) Associate Professor, Oregon State University (2013-2025) Assistant Professor, University of Montana Research Interests: Dr. Rosulek's research focuses on cryptographic protocols for secure computation, allowing parties to perform computations on private data without revealing the data itself. His work spans both theoretical foundations and practical implementations in areas like: Private set intersection protocols Garbled circuits optimization Secure computation against malicious adversaries Practical applications of cryptography Efficient oblivious transfer techniques His recent publications demonstrate a consistent focus on improving efficiency and security in cryptographic protocols, with particular attention to making these techniques more practical for real-world applications. Scientific Awards: 2022 College of Engineering Graduate Mentoring Award 2019 College of Engineering Engelbrecht Young Faculty Award 2012 NSF CAREER Award Research awards from Google, Facebook and Visa Research Advising: Dr. Rosulek has advised numerous Ph.D. and M.S. students, many of whom have continued to academic positions or research labs at institutions like UC Berkeley, MIT Lincoln Labs, and Aarhus University.

Jia WangView profile

Associate Professor

• VLSI Design Automation
• Embedded Systems
• Algorithm Design
• +4 more

Jia Wang is an Associate Professor in the Department of Electrical and Computer Engineering at Illinois Institute of Technology (IIT), affiliated with the Armour College of Engineering. He joined IIT in 2008 after completing his Ph.D. in EECS from Northwestern University. His research focuses on VLSI design automation, embedded systems, and algorithm design, with particular emphasis on power grid analysis, cloud computing security, and hardware-software co-design. Education: B.S., Electronic Engineering, Tsinghua University (2002) M.S., Electrical and Computer Engineering, Northwestern University (2005) Ph.D., Electrical Engineering and Computer Science, Northwestern University (2008) Research Interests: Dr. Wang’s work addresses challenges in VLSI design automation, including sequential optimization, floorplanning, and design for manufacturability. He explores synthesis techniques for embedded systems and distributed systems, and develops algorithms for secure cloud computing and energy-efficient systems. Key areas include power grid verification, secure outsourcing of computations, and scalable simulation methods. Courses Taught: ECE 429: Introduction to VLSI Design ECE 587: Hardware/Software Co-Design ECE 449: Object-Oriented Programming and Computer Simulation ECE 586: Fault Detection in Digital Circuits ECE 473: Cloud Computing and Cloud Native Systems Professional Contributions: He leads the ACG Floorplanner project , a widely referenced tool for floorplan optimization. His research has been published in top-tier journals and conferences such as IEEE Transactions on Computer-Aided Design, DAC, and ICCAD. He actively contributes to education through curricula development in VLSI, cybersecurity, and cloud computing.

Ian WaldenView profile

Professor

• Cybercrime
• Communications Law
• Data Protection
• +4 more

Professor Ian Walden is a leading academic in Information and Communications Law at Queen Mary University of London, affiliated with the School of Law and the Centre for Commercial Law Studies (CCLS). He served as Director of CCLS from 2018 to 2022. His expertise spans cybercrime, telecommunications regulation, data protection, and cloud computing law. He teaches postgraduate courses on EU Data Protection Law, Cybercrime, and Legal Tech at Queen Mary’s LLM programmes in London, Paris, and online. Research focuses on cross-border access to electronic evidence, cybersecurity frameworks, and legal challenges in emerging technologies. He co-leads the Cloud Legal Project, funded by Microsoft, and has contributed to global law reform initiatives for the World Bank, EU Commission, and UNCTAD. His notable works include Telecommunications Law and Regulation (5th ed., 2018) and Computer Crimes and Digital Investigations (2nd ed., 2016). Prof. Walden has held roles in governance and policy-making, including membership in the UK Council for Child Internet Safety (2010–2012), the European Commission’s GDPR Expert Group (2017–2021), and the Jersey Competition Regulatory Authority (2020–present). His public engagement includes leading Queen Mary’s qLegal initiative and advising on digital evidence, surveillance policies, and cloud computing contracts. Articles span cybersecurity, EU regulatory frameworks, and the legal implications of digital technologies. His work emphasizes practical solutions for data governance, privacy, and balancing innovation with accountability in emerging fields like the Internet of Things and AI.

• Cyber Trust
• Cloud Computing
• Software Engineering
• +2 more

Stephen S. Yau is a Professor at Arizona State University's School of Computing and Augmented Intelligence, where he has been since 1994. Previously, he held roles including Professor and Chair of the Department of Computer and Information Sciences at the University of Florida (1988–1994) and Walter P. Murphy Professor at Northwestern University (1961–1994). He earned a Ph.D. in Electrical Engineering from the University of Illinois in 1961. His research focuses on Cyber Trust, Cloud Computing, Software Engineering, and Service-based Systems. Over 210 journal/conference papers and grants from NSF, AFRL, and industry partners like Hitachi and Fujitsu support his work. Notable awards include the IEEE Computer Society's Special Award (2006), Overseas Outstanding Contributions Award (2006), and Fellowships from IEEE and AAAS. He has contributed to editorial boards of IEEE Transactions and led conferences like COMPSAC and IEEE International Conference on Services Computing. Teaching includes courses on Information Assurance & Security, with active involvement in student advising and graduate supervision. His service roles span leadership in Computing Research Association, IEEE, and AFIPS.

Antonio ServettiView profile

Assistant Professor

• Speech and Audio Processing
• Multimedia Communications
• Real-Time Multimedia Network Protocols
• +7 more

Antonio Servetti is an Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy, where he has been a faculty member since 2007. He is affiliated with the Internet Media Group (IMG) and the Interdepartmental Center PIC4SeR for Service Robotics. His work bridges multimedia processing, network communications, and web technologies. MS in Computer Engineering, Politecnico di Torino, 1999 PhD in Computer Engineering, Politecnico di Torino, 2004 Visiting Scholar, University of California, Santa Barbara, 2003 His research focuses on speech and audio processing , multimedia communications over wired and wireless networks , and real-time web-based multimedia applications . Key interests include WebRTC, Web Audio, HTTP adaptive streaming, and perceptual quality assessment. He has contributed to the development of secure multimedia transmission techniques, including selective encryption of speech and audio. The recent publications highlight a strong trend toward AI-driven modeling of subjective quality in multimedia, especially through deep learning for image and video quality prediction, understanding observer behavior, and remote music performance systems. His work often involves collaboration with researchers in the VQEG JEG-Hybrid group and the NEXA Center. Best Paper Award, Web Audio Conference 2021 Dr. Servetti has led and contributed to several research projects, including BRIC-2024 (acoustics in educational settings), PNRR HiFiReM (remote music education), and INAR (artistic research). He teaches courses such as 'Web Applications', 'Machine Learning for Vision and Multimedia', and 'Digital Audio Processing' across various engineering programs. He is also involved in educational governance as a member of academic councils for multiple degree programs. He is a core member of the Internet Media Group (IMG) , which focuses on multimedia processing and transmission, and contributes to the VQEG JEG-Hybrid working group on video quality assessment, where he develops frameworks for reproducible research and modeling of human perception.

• Blockchain Technologies
• Cybersecurity
• Internet of Things (IoT)
• +5 more

Dr. Zakwan Jaroucheh is a Lecturer at the School of Computing Engineering and the Built Environment , Edinburgh Napier University (ENU). With a PhD in Context-Aware Pervasive Computing from ENU (2012), he combines academic expertise with over seven years of industry experience as a Principal Security Engineer at Dell SecureWorks. Research focuses: Blockchain Technologies , Cybersecurity , Internet of Things , and Decentralized Systems Supervises PhD students in areas like DeFi compositions, blockchain authentication, and secure microservices Secured £485,000 in grants from The Data Lab, Scottish Enterprise, and CyberASAP Developed LastingAsset - a blockchain-based solution for combating phone call fraud His publications in IEEE , Personal and Ubiquitous Computing , and Springer address key challenges in decentralized authentication , privacy-preserving mechanisms , and blockchain security . Current work explores blockchain's transformative potential in value exchange and information sharing.