Find Academic Supervisors

Jens GrothView profile

Academic

• Cryptography
• Cryptographic Protocols
• Zero-Knowledge Proofs
• +5 more

Jens Groth is an Honorary Professor at the Department of Computer Science, University College London (UCL), and serves as Chief Scientist at Nexus. His primary research focuses on cryptography, with an emphasis on cryptographic protocols, zero-knowledge proofs, and privacy-preserving technologies. Groth has contributed significantly to advancements in digital signatures, homomorphic encryption, and secure multi-party computation. He holds a leadership role as Program Chair for the 15th IMA International Conference on Cryptography and Coding (2015) and has been a key figure in shaping modern cryptographic standards. His work often bridges theoretical foundations with practical implementations, emphasizing efficiency and security. Groth's research interests include but are not limited to: cryptographic protocol design, lattice-based cryptography, and the application of zero-knowledge proofs in real-world systems such as blockchain and voting systems. His publications span venues like CRYPTO, EUROCRYPT, and ASIACRYPT, reflecting his impact on the field. Notably, he advocates for open access to research and has contributed to strategies ensuring conferences adopt de facto open-access policies. His current focus at Nexus centers on verifiable computation and distributed cryptographic systems.

• Network Security
• Android Security
• Malware Analysis
• +6 more

Vijay Laxmi is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur, India. With over a decade of active research publication from 2014-2024, Dr. Laxmi has established themselves as a prominent researcher in network security, Android security systems, and Network-on-Chip architectures. Their work demonstrates consistent collaboration with Manoj Singh Gaur and numerous doctoral students at MNIT Jaipur. Dr. Laxmi's research interests span Network Security, Android Security, Malware Analysis, Network-on-Chip Architectures, Routing Protocols, Side-Channel Attacks, Wireless Networks, and Mobile Security. Their work bridges theoretical security frameworks with practical implementations, particularly in mobile and embedded systems. Recent publications indicate a growing focus on AI-based security approaches including GAN applications for fuzzing and deep learning for image dehazing. The research trajectory shows increasing sophistication in security analysis techniques, evolving from basic malware detection to advanced side-channel attack analysis and sophisticated network security protocols. Recent publications demonstrate expertise in both theoretical frameworks and practical implementations with applications in real-world security challenges. Dr. Laxmi has mentored numerous graduate students including Vineeta Jain, Anugrah Jain, Sonal Yadav, Mohit Singh, and Gaurav Singal, who appear as co-authors across multiple publications. Their collaborative network extends to researchers at international institutions, indicating strong academic connections beyond their home institution.

• Information Technology Governance
• Cybersecurity
• Blockchain
• +8 more

Dalibor Radovanović is a researcher at Singidunum University , affiliated with the Faculty of Business Informatics . His work spans cybersecurity, blockchain technologies, and their applications in business and IoT systems. Education: Doctoral Dissertation (2016, Singidunum University) Master's & Basic Studies (Faculty of Business Informatics) Secondary Education: ETŠ Nikola Tesla Research Interests include: Security frameworks for IoT and blockchain integration Smart card and wireless network vulnerabilities E-governance and corporate IT audit methodologies Machine learning applications in cybersecurity Environmental performance optimization in agribusiness Publication Trends reveal a focus on blockchain (2022), cybersecurity (2009-2022), and IT governance (2010-2017). His work bridges theoretical analysis with practical implementations in Serbia's digital economy. Collaborations with scholars like Marko Šarac and Saša Adamović highlight interdisciplinary approaches to securing financial systems, educational institutions, and industrial IoT applications.

• Cryptography
• Information Security
• Cryptographic Automation
• +3 more

Christina L. Garman is an Assistant Professor in the Department of Computer Science at Purdue University, where she joined in Spring 2018. Her research focuses on practical cryptography and cryptographic automation to make secure system development accessible to non-experts through error-resistant design methodologies. Her educational background includes: Bachelor of Science in Computer Science and Engineering from Bucknell University (2011) Bachelor of Arts in Mathematics from Bucknell University (2011) Master of Science in Engineering in Computer Science from Johns Hopkins University (2013) Doctor of Philosophy in Computer Science from Johns Hopkins University (2017) Professor Garman's work centers on real-world cryptographic system security, spanning protocol analysis (e.g., RC4 in TLS, Apple iMessage flaws), decentralized anonymous systems (Zerocash/ZCash), and cryptographic automation. She pioneered techniques for removing human error in cryptographic deployments through automated tools and frameworks. Her research bridges theoretical cryptography with practical implementation challenges in privacy-preserving technologies and secure infrastructure. Analysis of her 2021-2025 publications reveals expanding research horizons: hardware security vulnerabilities (Rowhammer, SGX), privacy network enhancements (Tor onion services), software supply chain security (SBOM tools), and advanced cryptographic protocols (zkSNARKs, MPC). This evolution demonstrates consistent focus on real-world security impact while diversifying into hardware-software cross-layer threats and formal verification methods for cryptographic implementations. Her major scientific recognitions include: NSF CAREER Award (2021) for cryptographic automation research ACM CCS Best Paper Award (2016) for iMessage security analysis IEEE Test of Time Award (2024) for foundational Zerocash work Professor Garman co-founded ZCash, a privacy-focused cryptocurrency based on her Zerocash protocol, and her NSF CAREER grant supports cryptographic automation development. Her research has received significant media coverage in The Washington Post, Wired, and The New York Times, highlighting real-world relevance. While specific student advising details aren't public, her active publication record indicates ongoing mentorship of graduate researchers in security and cryptography. Her work maintains strong industry connections through ZCash development and Tor network contributions, with recent projects like keyless CDNs demonstrating practical applications of cryptographic automation. She remains a leading voice in cryptographic research communities through conference participation and collaborative projects addressing evolving security challenges.

• Computer Security
• Privacy
• Applied Cryptography
• +6 more

Aggelos Kiayias FRSE is Chair in Cyber Security and Privacy and Director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also Chief Scientist at blockchain technology company Input Output. His academic work spans over two decades with more than 200 publications in cryptography, blockchain, and security. Dr. Kiayias received his Ph.D. from the City University of New York and was an undergraduate at the University of Athens Mathematics department. His research focuses on computer security, privacy, applied cryptography, and foundations of cryptography with particular emphasis on blockchain technologies, distributed systems, e-voting, secure multiparty protocols, and identity management. His recent work demonstrates continued innovation across multiple dimensions of blockchain technology, with publications spanning theoretical foundations, practical implementations, economic modeling, and privacy-preserving techniques. The research output shows strong emphasis on security analysis, consensus protocols, transaction processing, and economic incentives within decentralized systems. His work bridges theoretical cryptography with real-world blockchain applications. Among his notable recognitions are an ERC Starting Grant, Marie Curie fellowship, NSF Career Award, Fulbright Fellowship, election as Fellow of the Royal Society of Edinburgh in 2021, and the BCS Lovelace Medal in 2024. He has served as program chair for major conferences including the Cryptographers' Track of RSA (2011), Financial Cryptography (2017), Real World Crypto Symposium (2020), and Public-Key Cryptography Conference (2020), and as general chair of Eurocrypt 2013. Professor Kiayias has supervised over 20 PhD students, many of whom have gone on to academic positions at institutions including Imperial College, Stanford University, Royal Holloway University London, University of Glasgow, University of Sydney, and Virginia Commonwealth University. His current advisees include Yu Shen, Amirreza Sarencheh, and Christina Ovezik with expected graduations between 2025-2026. He leads the Blockchain Technology Laboratory at the University of Edinburgh and is involved in several major blockchain research projects including Panoramix and Fentec. His research has received significant funding from the European Union (Horizon 2020, ERC), UK research councils (EPSRC), US agencies (NSF, DHS, NIST), and Greek research bodies.

Sushmita RujView profile

Associate Professor

• Cryptography
• Blockchains
• Data Privacy
• +6 more

Sushmita Ruj is an Associate Professor in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. She serves as the Faculty of Engineering Lead for the UNSW Institute for Cybersecurity (IfCyber) and as the Taste of Research (ToR) Coordinator within the School of Computer Science and Engineering. Her academic journey includes previous positions as a Senior Research Scientist at CSIRO's Data61 (2019-2022), Associate Professor at the Indian Statistical Institute, Kolkata, and Assistant Professor at the Indian Institute of Technology (IIT), Indore. Dr. Ruj's primary research interests focus on applied cryptography, post-quantum cryptography, cybersecurity, blockchains, and data privacy. She designs practical, efficient, and provably secure protocols for real-life applications, with particular emphasis on critical infrastructure including smart grids, cloud computing, ad hoc networks, and data sharing frameworks. As quantum technology advances, her work increasingly focuses on developing quantum-safe algorithms to ensure a more secure Internet infrastructure. Her research spans multiple domains including cryptographic key management, proofs of storage, verifiable computation, vector commitments, and privacy-enhancing technologies for cloud and IoT environments. Her recent publications demonstrate a strong trend toward post-quantum cryptography solutions, with particular emphasis on blockchain applications, DNS security, and privacy-preserving protocols for industrial IoT. The research shows increasing focus on practical implementations of theoretical cryptographic concepts, with applications across multiple sectors including finance, healthcare, and critical infrastructure. Her work bridges the gap between theoretical cryptography and real-world security challenges, with growing emphasis on the transition from classical to quantum-resistant systems. Best Paper Award at ACISP 2024 JNCA Best Survey Award (2023) NSW Innovation Award (iAward) Merit Winner (2022) Women in Science Award from CSIRO (2020) ACM Senior Member (2016) IEEE Senior Member (2015) Samsung GRO award (2014) Dr. Ruj has successfully mentored numerous PhD and Master's students, with many of her former students now holding academic positions at institutions like IIT Indore, TU Wien, and CISPA Helmholtz Center. She has secured significant competitive funding including multiple Australian Research Council (ARC) grants, Samsung GRO Award, NetApp Faculty Fellowship, Cisco Academic Grant, and IBM Research grant. Her current research portfolio includes projects on blockchain-based quantum-safe digital medical passports, embedding trust in digital IDs, and resilience of supply chain unstructured data. As Faculty of Engineering Lead for IfCyber, Dr. Ruj plays a key role in UNSW's cybersecurity research initiatives. She has served on editorial boards for prestigious journals including IEEE Transactions on Information Forensics and Security and has held leadership positions in major conferences such as ACISP 2021 and Indocrypt 2020. She was also a member of the working group on "Blockchain For Cybersecurity" for the National Blockchain Roadmap of Australia and the first Blockchain Working group set up by the Reserve Bank of India.

Brandon LuciaView profile

Professor

• computer architecture
• computer systems
• programming languages
• +8 more

Brandon Lucia is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He holds the Kavčić-Moura Professorship and leads the Abstract research group. As CEO and co-founder of Efficient Computer Corp., he bridges academic research with commercial applications in energy-efficient computing. Dr. Lucia received his Ph.D. in Computer Science and Engineering from the University of Washington in 2013, following an MS from the same institution in 2010 and a BS in Computer Science from Tufts University in 2007. His research focuses on the intersection of computer architecture, computer systems, and programming languages, particularly in energy-constrained environments. His primary research interests include intermittent computing, energy harvesting computers, orbital edge computing, and parallel computing systems. Lucia's work addresses fundamental challenges in creating programmable, reliable computing devices that operate without batteries by harvesting energy from their environments, with applications in sensing, medical implants, and space systems. He also investigates software systems and architectures for making parallel computing correct, reliable, and efficient in the post-Moore's Law era. Lucia's publication record shows a clear trajectory toward orbital edge computing and nanosatellite systems, with recent work focusing on computational constellations, visual navigation for satellites, and energy-efficient processing in space. His research spans both theoretical foundations of intermittent computing and practical implementations in hardware and software. 2021 Sloan Research Fellowship 2018 NSF CAREER Award 2018 ASPLOS Best Paper Award IEEE MICRO Top Picks in Computer Architecture (2009, 2010, 2016) 2015 OOPSLA Best Paper Award 2019 IEEE TCCA Young Computer Architect Award 2022 Engineering Faculty Award As an advisor, Lucia has mentored numerous graduate students including Brad Denby, Zhuo Cheng, and Kyle McCleary, many of whom have become co-authors on his significant publications. His lab developed the world's first batteryless PocketQube nanosatellite (Tartan-Artibeus-1), which was deployed to low-Earth orbit aboard the SpaceX Transporter-3 Rocket. Lucia's research has received funding from sources including NSF, DARPA, Google, and VMware, supporting both fundamental research and practical implementations of energy-harvesting computing systems.

Pratyush MishraView profile

Assistant Professor

• Cryptography
• Computer Security
• Zero-Knowledge Proofs
• +2 more

Pratyush Mishra is an Assistant Professor at the University of Pennsylvania in the Department of Computer and Information Science, where he is affiliated with the Security and Privacy Laboratory. His research focuses on the intersection of cryptographic proof systems and computer security , particularly on efficient implementations of zero-knowledge proofs and secure computation protocols. Pratyush completed his PhD in Computer Science at UC Berkeley , advised by Alessandro Chiesa and Raluca Ada Popa , and holds a BSc in EECS from UC Berkeley, where he worked with David Wagner . His current research group includes PhD students Anubhav Baweja , Tushar Mopuri , Bharath Namboothiry , and Alireza Shirzad , along with Matan Shtepel , a former research assistant who moved to CMU for his PhD. His work spans advanced cryptographic techniques like zkSNARKs , accumulation schemes , and private delegation of provers , with applications in decentralized systems and secure inference. His recent publications focus on optimizing polynomial commitments , read-write streaming for SNARKs, and horizontally scalable proofs . Key awards include: ACM SIGSAC Doctoral Dissertation Award Runner-Up (2022) CSAW Applied Research Award (2016) for Hidden Voice Commands He teaches courses like CIS 5560: Cryptography and 7000-2: Theory and Practice of Succinct Zero Knowledge Proofs , covering topics such as symmetric cryptography, public-key encryption, digital signatures, zero-knowledge proofs, and secure multiparty computation. His lab contributes to the arkworks ecosystem for zero-knowledge proof libraries and co-founded the startup Aleo based on his research.

• Cryptography
• Post-Quantum Cryptography
• Elliptic Curve Cryptography
• +3 more

David Jao is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo. His research focuses on post-quantum cryptography, particularly leveraging isogenies of supersingular elliptic curves for secure cryptographic protocols. He is renowned for co-developing the Supersingular Isogeny Key Encapsulation (SIKE) protocol, a leading candidate for post-quantum cryptography standards. His work spans theoretical foundations and practical implementations, including optimizing isogeny-based systems for embedded devices and ARM processors. Research interests include isogeny-based cryptosystems, elliptic curve cryptography, zero-knowledge proofs, and cryptographic security against quantum attacks. He explores applications of expander graphs and Ramanujan graphs in cryptography, alongside algorithmic improvements for cryptographic protocols such as SIDH (Supersingular Isogeny Diffie-Hellman). Key contributions include advancements in key compression techniques for SIKE, side-channel attack mitigation, and formalizing security models for post-quantum key exchange. His publications analyze cryptographic hardness assumptions, such as the discrete logarithm problem in finite groups and the semidirect product structure in isogeny-based systems. Jao’s work bridges theoretical mathematics and applied cryptography, with a focus on ensuring practical security in next-generation cryptographic systems. His research addresses challenges in quantum-resistant authentication, key establishment, and digital signatures, often emphasizing efficiency and resistance to both classical and quantum attacks.

Tobias FiebigView profile

Assistant Professor

• Network Security
• Human Factors in Security
• Internet Measurement
• +5 more

Dr.-Ing. Tobias Fiebig is a Senior Researcher at the Max Planck Institute for Informatics (Internet Architecture department) since April 2022. He previously served as a permanent Assistant Professor at TU Delft's Faculty of Technology, Policy and Management from 2017-2022. His work combines network measurement with human factors to improve security practices, focusing on email protocols, DNS infrastructure, and academic cloud migration. PhD in Computer Science from TU Berlin (2017) MSc in System and Network Engineering from University of Amsterdam (2013) BSc in Cognitive Science from University of Osnabrück (2012) His research spans Internet security (DNS, IPv6, email), academic freedom in cloud contexts, and human-centered security challenges. Recent work analyzes MTA-STS deployment, DNS sampling biases, and university cloud migration privacy implications. He has presented at top conferences including USENIX Security , IEEE Symposium on Security and Privacy , and ACM CCS . Teaching roles include lecturing Data Networks (2023-24) and On the Practice of System and Network Engineering (2024), with prior module management in cyber security analytics and sustainable system operations.

Qiang TangView profile

Associate Professor

• Cryptography
• Blockchain Technology
• Computer Security
• +3 more

Qiang Tang is currently an Associate Professor (Level D) at the School of Computer Science of The University of Sydney. Previously, he was a Senior Lecturer (2021.1-2024.12) at USYD and an Assistant Professor at the Computer Science Department of New Jersey Institute of Technology (2016.8-2021.1), where he co-directed the JACOBI Blockchain Lab with Prof. Jian Pei and Prof. Zhenfeng Zhang. He completed his PhD at the University of Connecticut under Prof. Aggelos Kiayias and Prof. Alexander Russell, following postdoctoral research at Cornell University with Prof. Elaine Shi. His research spans applied and theoretical cryptography, blockchain technology, privacy, and computer security. His work is supported by ARC, Google, Ethereum Foundation, Stellar Foundation, Protocol Labs, Algorand Foundation, Oracle, and USYD. Previous funding includes NSF, JD.com, AFRL, DoE, and Particl Foundation. His research has led to significant contributions in consensus protocols, distributed randomness generation, secure multi-party computation, and privacy-preserving technologies. Tang's publications reveal a strong focus on practical cryptographic solutions for blockchain and distributed systems. His recent work demonstrates expertise in asynchronous consensus, optimal protocol design, and secure implementations for real-world applications. His research shows consistent innovation in improving efficiency, security, and scalability of distributed systems. Scientific Awards: 2025 DSN Best Paper Award 2024 ICDCS Distinguished Paper Award 2023 SOAR Prize, USYD 2023 Oracle for Research Award 2022 Stellar Foundation Research Awards 2022 Ethereum Academic Award 2019 MIT Technical Review, 35 Chinese Innovators Under 35 Tang actively mentors PhD and Master's students, with several alumni now holding faculty positions or research roles at institutions like City University Hong Kong, Chinese Academy of Sciences, and A*STAR Singapore. He has received significant research funding including a multi-year Google project on End-to-End Secure Cloud and an ARC DP grant on Order Fairness in Decentralized Systems. He leads the research in his lab focusing on blockchain protocols and cryptographic applications, with strong industry connections through collaborations with Google, Ethereum Foundation, Stellar Foundation, and Protocol Labs. His team regularly publishes in top security and cryptography venues including CRYPTO, CCS, USENIX Security, and S&P.

Marina BlantonView profile

Associate Professor

• Applied Cryptography
• Information Security
• Privacy-Preserving Computation
• +3 more

Marina Blanton is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, and Faculty Director of Women in Science and Engineering within the School of Engineering and Applied Sciences. She holds a PhD in Computer Science from Purdue University (2007), along with multiple advanced degrees in Computer Science and Electrical Engineering from prestigious institutions in the US and Russia. Her research focuses on applied cryptography, information security, and privacy-preserving computation and outsourcing. She has pioneered work on secure multi-party computation protocols, privacy-preserving biometric authentication, and secure data analytics across distributed systems. Her contributions include foundational frameworks like PICCO, a compiler for private distributed computation, and advancements in protocols for genomic data analysis and floating-point secure computation. Blanton has been recognized with numerous awards, including IEEE and ACM Senior Membership (2016/2015), the ACM CCS Test of Time Award (2015), and the AFOSR Young Investigator Award (2013). Her research has been supported by grants such as NSF SaTC awards and AFOSR funding. Her work emphasizes practical implementations of secure computation, with applications in healthcare, biometrics, and distributed data systems. She has advised numerous students and contributed to educational initiatives promoting women in STEM through her leadership roles.

• Electrical and Electronic Engineering
• Computer Hardware
• Computer Software
• +7 more

Professor Peter Y. K. Cheung is a Professor of Digital Systems at Imperial College London, holding dual affiliations within the Department of Electrical and Electronic Engineering and the Dyson School of Design Engineering. His work focuses on reconfigurable systems, FPGA architectures, and high-level synthesis tools. He co-founded one of the UK's leading FPGA research groups with Professor Wayne Luk, addressing challenges in variability mitigation, reliability, and application-specific FPGA deployments. His research spans Field-Programmable Gate Arrays (FPGAs) Reconfigurable computing Neural network acceleration Cryptographic protocols Embedded systems He has pioneered techniques such as logic shrinkage for FPGA-based neural networks and developed frameworks like LUTNet for efficient inference. His contributions also include fault-tolerant FPGA designs and methodologies for distributed computation protocols. Key collaborations include work with the Department of Computing on FPGA-based AI acceleration and cybersecurity applications. His recent work explores edge computing, secure decentralized systems, and pandemic modeling using adaptive control strategies. Notable projects include the DSCS protocol for secure distributed computation, acceleration of gravitational wave detection algorithms, and energy-efficient CNN implementations. His research bridges hardware-software co-design with real-world applications in healthcare, finance, and aerospace.

• Security
• Cryptography
• Theoretical Computer Science
• +3 more

Yan Huang is an Associate Professor in the Department of Computer Science at Indiana University Bloomington, focusing on security and cryptography. His work bridges theoretical foundations with practical systems, emphasizing cryptographic protocols with strong security guarantees for generic computation. University: Indiana University Bloomington School: College of Arts and Sciences Department: Computer Science Academic Rank: Associate Professor His research combines theoretical computer science , program analysis , artificial intelligence , and software engineering to address real-world security problems. Key areas include secure computation , zero-knowledge proofs , and privacy-preserving technologies . Recent publications, such as Phecda (SP'25) and Dubhe (USENIX Security'23), highlight advancements in post-quantum cryptography , AES verification , and privacy-preserving deep packet inspection , reflecting his focus on scalable and practical cryptographic solutions. He has advised notable students including Changchang Ding (PhD, Computer Science) and Ruiyu Zhu (PhD, now at Facebook), and served on program committees for top conferences like ACM CCS and CRYPTO .

David LieView profile

Professor

• Computer Systems Security
• Trusted Execution Environments
• Mobile Platform Security
• +7 more

David Lie is a Professor at the University of Toronto, jointly appointed in the Edward S. Rogers Department of Electrical and Computer Engineering, Department of Computer Science, and Faculty of Law. He directs the Schwartz Reisman Institute for Technology and Society, co-founded the IT3 Lab, and serves as Associate Director at the Data Sciences Institute. His research focuses on securing computer systems through operating systems, architecture, and formal verification approaches. B.A.Sc (University of Toronto, 1998) M.S. (Stanford, 2001) Ph.D. (Stanford, 2004) His research emphasizes building secure systems for mobile platforms and cloud computing, with significant contributions to trusted execution environments (XOM architecture precursor to Intel SGX/ARM TrustZone) and Android permission mapping (PScout tool). Recent work spans cryptographic side-channels, web tracking detection, and AI safety. Key honors include SOSP 2003 Best Paper, Ontario MRI Early Researcher Award (2008), Connaught Global Challenge Award (2017), and Canada Research Chairs (Tier 2 2013-2018, Tier 1 current). He has secured over $30M in research funding and served as General Chair for CCS 2018. Lie leads the IT3 Lab (Technology and Policy Integration), collaborates with industry leaders (Google, VMware, Telus), and mentors graduate students working on practical security implementations. He co-teaches ECE1724: Privacy Problems with Lisa Austin from the Faculty of Law, reflecting his technology-policy interests.