Find Academic Supervisors

Aephraim M. SteinbergView profile

Professor

• Quantum Measurement
• Ultracold Atoms
• Quantum Optics
• +7 more

Aephraim M. Steinberg is a University Professor of Physics at the University of Toronto, holding one of the highest academic honors at the institution since 2021. He is a leading researcher in quantum physics, specializing in quantum measurement, ultracold atoms, quantum optics, and quantum information processing. Steinberg serves as co-Director of the CIFAR Quantum Information Science program and is an affiliate member of the Perimeter Institute for Theoretical Physics. Steinberg received his B.S. from Yale University in 1988 and his Ph.D. from UC Berkeley in 1994. His research program uses both nonclassical two-photon interference and laser-cooled atoms to investigate fundamental quantum phenomena. His work spans quantum information & computation, decoherence and the quantum-classical boundary, tunneling times, weak measurement and retrodiction in quantum mechanics, and the control and characterization of novel quantum states. Notably, his group has made groundbreaking contributions to understanding quantum tunneling times, weak measurements, and quantum metrology beyond classical limits. His recent publications reveal a strong trend toward quantum metrology and precision measurement, with significant work on multiparameter estimation, weak-value amplification, and sub-Rayleigh imaging techniques. His research increasingly bridges fundamental quantum foundations with practical quantum technologies, particularly in quantum information processing and quantum cryptography. His group's work on quantum fully homomorphic encryption represents cutting-edge applications of quantum information theory. Fellow of the Royal Society of Canada (2016) Physics World Breakthrough of the Year (2011) E.W.R. Steacie Memorial Fellowship (2007) CAP Herzberg Medal (2006) RSC Rutherford Medal (2006) APS Doctoral Thesis Prize (1996) Steinberg has mentored numerous graduate students who have gone on to successful careers in academia and industry, including positions at MIT, Xanadu, and NIST. His research is generously supported by major funding agencies including NSERC, CIFAR, FQXi, and the Fetzer Franklin Foundation. His group maintains strong international collaborations with institutions worldwide, reflecting his prominence in the quantum physics community. Based in labs MP 054/056 at the University of Toronto, Steinberg's Quantum Optics Group operates cutting-edge experimental setups for studying Bose-Einstein condensates, quantum measurement, and quantum information processing. His group maintains strong connections with the Center for Quantum Information and Quantum Control (CQIQC) and the Institute for Optical Sciences at U of T, forming a vibrant quantum research ecosystem in Toronto.

Stacey JefferyView profile

Professor

• Quantum Algorithms
• Quantum Cryptography
• Quantum Computation Models
• +3 more

Stacey Jeffery serves as Professor of Quantum Information at the University of Amsterdam's Korteweg-de Vries Institute for Mathematics since 2023 and Senior Researcher at Centrum Wiskunde & Informatica (CWI) and QuSoft since 2017. Her foundational work bridges theoretical computer science and quantum information processing, with emphasis on algorithmic frameworks and cryptographic security in quantum systems. Her educational trajectory includes a PhD in Computer Science from the University of Waterloo (2014), where she was affiliated with the Institute for Quantum Computing, following prior research at Caltech as an IQIM Postdoctoral Fellow. Jeffery's research centers on quantum algorithms and quantum cryptography, with pioneering contributions to quantum walk frameworks that enable quadratic speedups for graph problems. She has developed critical frameworks for secure delegation of quantum computation and advanced models for quantum error correction. Her work on multidimensional quantum walks and subroutine composition establishes new paradigms for quantum algorithm design, while investigations into space-time tradeoffs challenge fundamental limits of quantum computation. These theoretical advances directly enable practical quantum cryptographic protocols and error mitigation strategies. Analysis of her 15 most recent publications reveals a cohesive evolution toward unified frameworks for quantum algorithm composition, particularly through quantum walk methodologies. Her 2023-2025 works demonstrate increasing sophistication in error reduction techniques and space-efficient quantum computation, while maintaining strong connections to cryptographic applications like software leasing and multi-party computation. The consistent focus on foundational complexity questions—span programs, query complexity, and graph connectivity—underscores her commitment to advancing theoretical underpinnings of quantum computing. Her scientific recognition includes: NWO WISE Fellowship NWO Veni Grant ERC Starting Grant QDNL Award (for co-founding WIQD) CIFAR Fellow in Quantum Information Science Jeffery leads significant research initiatives including an ERC Starting Grant and NWO-funded projects. Her academic mentorship extends through QuSoft's collaborative environment, though specific advisee names aren't publicly cataloged. Professional service includes co-chairing QIP 2022, chairing TQC's steering committee (2021), and directing the Lorentz Center Informatics Advisory board. She actively shapes community standards through roles in QCrypt and ACM SIGACT. As a core QuSoft researcher and co-founder of WIQD (Women in Quantum Development), Jeffery drives both technical innovation and diversity initiatives. Her laboratory focuses on quantum algorithm frameworks with real-world cryptographic applications, while WIQD—awarded the inaugural QDNL Award—creates vital networking and development opportunities for women across quantum technology sectors. Current efforts target quantum subroutine composition and space-efficient error correction for near-term quantum devices.

• GPU Computing
• Parallel Processing
• Computer Architecture
• +5 more

Ayşe Yılmazer Metin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University's Faculty of Computer and Informatics. Her research focuses on computer architecture, GPU computing, and hardware security, with significant contributions to parallel processing systems and cryptographic implementations. Her educational background includes: PhD from Northeastern University (2010-2013) Degree from University of Rhode Island (2004-2007) Licence from Hacettepe University, Department of Computer Engineering (1991-1998) Dr. Yılmazer Metin's research interests center around GPU architecture and parallel computing systems. Her work addresses critical challenges in synchronization mechanisms for multi-GPU systems, power and energy measurement of embedded GPUs, and efficient implementations of cryptographic algorithms on specialized hardware. She has developed novel approaches to scope promotion in GPU environments, which significantly reduce communication overhead in multiprocessor systems. Her recent work has expanded into healthcare applications, developing privacy-preserving systems for real-time ECG monitoring and exploring homomorphic encryption techniques for secure computation. Her publication record shows a clear trajectory from fundamental GPU architecture research toward security applications and healthcare technology. Early work focused on GPU synchronization and memory management, while more recent publications demonstrate applications in secure medical systems and homomorphic encryption. This evolution reflects a strategic expansion of her core expertise in computer architecture into security-critical domains where hardware-level optimizations can provide significant advantages. Dr. Yılmazer Metin has served as Principal Investigator on multiple research projects: "Time-Critical Job Management in Multi-CPU + Multi-GPU Distributed Heterogeneous Systems" (2018-2019) "A Single-Processor GPU Architecture for More Efficient Graph Algorithms" (2018-2021) "Programmable Synchronization Architecture" (2018-2022) Her laboratory work focuses on GPU architecture and hardware security, with particular emphasis on developing efficient implementations of cryptographic algorithms on GPU platforms and optimizing graph neural network inference on heterogeneous computing systems.

• 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

Vipul GoyalView profile

Associate Professor

• Cryptography
• Quantum Cryptography
• Security & Privacy
• +6 more

Vipul Goyal is an Associate Professor in the Computer Science Department at Carnegie Mellon University and a Senior Scientist at NTT Research . He previously spent 7 years at Microsoft Research before joining CMU. His academic journey includes a PhD from UCLA under advisors Rafi Ostrovsky and Amit Sahai , and a B.Tech. from IIT (BHU) Varanasi . Research Interests: Cryptography, Quantum Cryptography, Security & Privacy, Theoretical Computer Science Grants: NSF, DARPA, Department of Energy NETL, JP Morgan, Cisco, PNC, Ripple, DoS Networks, CyLab initiatives Education: PhD in Computer Science (UCLA, 2009) B.Tech. in Computer Science (IIT BHU Varanasi) His recent work focuses on Quantum Cryptography , Secure Multi-Party Computation , and Unclonable Security . Notable awards include the 2019 JP Morgan Faculty Award and the 2016 ACM CCS Test of Time Award . He advises the CMU Blockchain Group and has served on program committees for Crypto 2025 , FOCS 2024 , and others. Scientific Awards: 2019 JP Morgan Faculty Award 2016 ACM CCS Test of Time Award Microsoft Research Graduate Fellowship Google Outstanding Graduate Student Award Forbes 30 Under 30 in Science and Healthcare (2013) Students & Postdocs: He has mentored numerous PhD students and Postdocs , many of whom are now faculty at institutions like Tsinghua University, Max Planck Institute, and UT Austin. Former research assistants include Yifan Song and Elisa Masserova .

Lorenzo GrassiView profile

Researcher

• Symmetric Cryptography
• Cryptanalysis
• Hash Functions
• +5 more

Lorenzo Grassi is a postdoctoral researcher in symmetric cryptography at Ruhr University Bochum's Cluster of Excellence CASA and a consultant at Ponos Technology. He holds a PhD in Mathematics from Graz University of Technology (2019) and a degree in Mathematics from the University of Milano. Funded by the CASA Jump.Start Program for Postdocs since 2023, he focuses on cryptography for future applications, including quantum-resistant protocols and MPC-/FHE-/ZK-friendly schemes. Education: University of Milano (Mathematics), Graz University of Technology (PhD in Mathematics) Positions: Ruhr University Bochum (CASA Cluster), Ponos Technology (Consultant), Radboud University Nijmegen (2020-2023) His research spans symmetric encryption, hash function design, algebraic attacks, and cryptanalysis of modern cryptographic primitives. Recent work includes Gröbner basis attacks, side-channel secure implementations, and quantum cryptanalysis. Key trends in his publications include the development of zero-knowledge proof-friendly hash functions (e.g., Poseidon2), structural analysis of symmetric primitives (e.g., Subspace Trails, Feistel networks), and optimization of cryptographic schemes for MPC and FHE applications. Quantum cryptanalysis and truncated differential attacks also feature prominently. Scientific Awards: ERC Starting Grant 2024 Grassi contributes to advancing cryptographic security through innovative designs like Monolith and Reinforced Concrete, while also analyzing vulnerabilities in schemes like AES and Grendel. His work bridges theoretical analysis with practical implementations, emphasizing efficiency and resistance to emerging threats.

Nico DöttlingView profile

Professor

• Cryptography
• Public-key encryption
• Homomorphic encryption
• +5 more

Nico Döttling is a faculty member at the CISPA Helmholtz Center for Information Security, where he leads research in cryptographic foundations. His work focuses on advancing theoretical and practical aspects of modern cryptography, with particular emphasis on homomorphic encryption, post-quantum cryptography, and secure multi-party computation. Dr. Döttling received his PhD in Computer Science from the Karlsruhe Institute of Technology in 2014 under the supervision of Jörn Müller-Quade. Prior to joining CISPA in 2018, he held positions as an Assistant Professor at Friedrich-Alexander University Erlangen-Nuremberg (2017-2018), a postdoctoral researcher at UC Berkeley (2016-2017) supported by a DAAD fellowship, and a postdoctoral researcher at Aarhus University's Cryptography Group (2014-2016) working with Ivan Damgård and Jesper Buus Nielsen. Dr. Döttling's research centers on the theoretical foundations of cryptography with practical applications. His work spans public-key encryption, communication-efficient secure multi-party computation, homomorphic encryption, and post-quantum cryptographic systems. He has made significant contributions to laconic cryptography, time-lock puzzles, and verifiable delay functions, with his ERC Starting Grant project 'Next Generation Laconic Cryptography (LACONIC)' driving innovation in communication-efficient cryptographic protocols. His research bridges theoretical computer science with practical security applications, addressing fundamental questions while developing usable cryptographic primitives. Analysis of Dr. Döttling's recent publications reveals a strong focus on efficient cryptographic primitives with particular attention to communication complexity, security proofs, and practical implementations. His work spans theoretical foundations of cryptography, post-quantum security, and novel applications of cryptographic techniques to real-world problems. A notable trend is his exploration of laconic cryptography - developing protocols with minimal communication overhead - which has applications in resource-constrained environments and large-scale distributed systems. Dr. Döttling's scientific achievements have been recognized with several prestigious awards: ERC Starting Grant for the project 'Next Generation Laconic Cryptography (LACONIC)' (2021) Best Paper Award at Crypto for 'Identity-Based Encryption from the Diffie-Hellman Assumption' (2017) Postdoctoral Fellowship at UC Berkeley sponsored by DAAD (2016) Best Paper Award at ProvSec 2015 for 'From Stateful Hardware to Resettable Hardware Using Symmetric Assumptions' (2015) Biennial dissertation award for best dissertation in computer science at Karlsruhe Institute of Technology (2014) As a faculty member at CISPA, Dr. Döttling leads an active research group focused on cryptographic foundations. His ERC Starting Grant provides significant research funding to advance laconic cryptography. While specific information about his advisees is not provided in the source material, his extensive publication record with multiple co-authors suggests active collaboration with students and researchers. His work bridges theoretical cryptography with practical security applications, making contributions that advance both academic understanding and real-world cryptographic implementations. Dr. Döttling leads the Algorithmic Foundations and Cryptography research group at CISPA, focusing on developing theoretically sound yet practically efficient cryptographic protocols. His team explores innovative approaches to longstanding cryptographic challenges, particularly in making cryptographic protocols more communication-efficient without sacrificing security. Current research directions include post-quantum cryptographic systems, verifiable delay functions, and novel applications of homomorphic encryption to privacy-preserving computation.

Milind KulkarniView profile

Professor

• Programming Languages and Compilers
• Parallel and Distributed Computing
• Privacy-Preserving Computation
• +4 more

Milind Kulkarni is a Professor and the Michael and Katherine Birck Head at the Elmore Family School of Electrical and Computer Engineering at Purdue University . He earned degrees from North Carolina State University (B.S. 2002) and Cornell University (M.S. 2005, Ph.D. 2008) under advisor Keshav Pingali . His research focuses on compiler and programming language design for privacy-preserving computation , GPU acceleration , and parallel execution of irregular algorithms . Recent publications emphasize Vectorization in FHE (ASPLOS 2023, PPoPP 2025) Sparse Tensor Optimization (ICS 2022, ICS 2024) Ray Tracing Hardware Utilization (ICS 2023, ICS 2024) His research group has received numerous accolades including 4 IEEE TCSE Distinguished Paper Awards , 3 Purdue Seed for Success Awards , and 2 Presidential Early Career Awards . Current advisees include Raghav Malik and Vani Nagarajan , while former students have joined institutions like Amazon Web Services and Virginia Tech . He leads the PurPL programming languages research group and collaborates with the Center for Resilient Infrastructures (CRISP).

• Cryptography
• Quantum Computing
• Lattice-based Cryptography
• +3 more

Zvika Brakerski is a Professor at the Department of Computer Science and Applied Mathematics of the Weizmann Institute of Science. He is an active researcher in theoretical computer science with a focus on cryptography and quantum computing. His work bridges foundational aspects of computer science with practical cryptographic applications. His educational background includes: Ph.D. from Weizmann Institute of Science (2011), advised by Shafi Goldwasser M.Sc. from Faculty of Engineering of Tel-Aviv University (2002), advised by Boaz Patt-Shamir B.Sc. joint degree from Faculty of Engineering and School of Computer Science of Tel-Aviv University (2001) Brakerski's research primarily focuses on the foundations of computer science, with particular emphasis on cryptography and quantum computing. His work explores the intersection of these fields, developing new cryptographic primitives that are secure against quantum adversaries while also leveraging quantum phenomena for cryptographic purposes. He has made significant contributions to lattice-based cryptography, fully homomorphic encryption, and quantum cryptography, establishing new connections between computational complexity and cryptographic security. His recent publications demonstrate a consistent focus on advancing the theoretical foundations of post-quantum cryptography while exploring novel applications of quantum computing to cryptographic problems. There's a clear trend toward establishing connections between seemingly disparate areas such as quantum information theory, computational complexity, and traditional cryptographic constructions. His work often introduces new frameworks that unify previously separate concepts, creating bridges between theoretical computer science and practical cryptographic applications. Brakerski has mentored students and collaborated with numerous researchers in the field, contributing to the advancement of cryptographic theory and quantum computing. His work has been supported by various research grants, though specific details are not provided in the source material.

Nada El KassemView profile

Research Fellow

• Cryptography
• Hardware Security
• Quantum Computing
• +2 more

Dr. Nada El Kassem is a Research Fellow in Trusted Computing and Applied Cryptography at the Computer Science Research Centre, University of Surrey's Faculty of Engineering and Physical Sciences. Her current research focuses on anonymous authentication, quantum-resistant cryptographic solutions, hardware security, and fully homomorphic encryption. She has made significant contributions to lattice-based cryptography, particularly in Direct Anonymous Attestation (DAA) schemes for trusted platform modules. Her research explores cryptographic protocols that maintain security against quantum computing threats while optimizing for efficiency in constrained hardware environments. Recent publications demonstrate advancements in post-quantum signature schemes, privacy-preserving identity systems, and efficient lattice-based implementations. Before joining Surrey, El Kassem taught mathematics courses including Linear Algebra, Calculus, and Engineering Mathematics at Lebanese International University (2008-2011) and led tutorial sessions for Foundations of Computing at Surrey.

Maarten Hinderik EvertsView profile

Assistant Professor

• Cybersecurity
• Cryptography
• Privacy-Preserving Technologies
• +5 more

Maarten Hinderik Everts is an Assistant Professor specializing in Cybersecurity and Semantics at the Digital Society Institute. His research focuses on cryptographic protocols, privacy-preserving technologies, and secure communication systems. He has contributed to advancements in homomorphic encryption, collaborative learning security, and blockchain-based payment systems. Key research interests include authentication mechanisms, mobile device security, and data visualization techniques. Everts has authored over 39 publications since 2008, with recent work emphasizing privacy-enhancing technologies and secure multi-party computation. He received the SciVis Test-of-Time award in 2023 for impactful contributions to visualization research. His work spans patents on LTE communication security and compiler optimizations for covert security. Collaborative efforts include developing privacy-preserving machine learning frameworks and zk-SNARK applications for financial systems.

Jhansi PrathuriView profile

Teaching Professor

• Cryptography
• Data Science
• Machine Learning
• +3 more

Jhansi Rani Prathuri is an Instructional Professor in the Department of Computer and Data Sciences at Merrimack College. She holds a Ph.D. in Computer Science from the University of Hyderabad, an M.S. in Computer Science and Engineering from Andhra University College Engineering, and a B.S. in Computer Science and Engineering from Nagarjuna University. Her research focuses on cryptography, particularly chaos-based cryptographic systems, with contributions to hash functions, pseudorandom bit generators, and symmetric encryption schemes that prioritize low computational complexity and cryptanalysis-friendly design. She also works on machine learning applications in network security, medical data privacy, and social media analysis. In collaboration with Eurofins IT Solutions India Pvt Ltd, she explored machine learning-driven risk assessment for software code changes. Her recent publications emphasize homomorphic encryption, FPGA-based cryptographic implementations, and wireless ad-hoc network security.

Loknath Sai AmbatiView profile

Assistant Professor

• Health Information Technology
• Population Health
• Health Informatics
• +2 more

Loknath Sai Ambati serves as the Ronnie K. Irani Data Analytics Assistant Professor for Data Analytics and Artificial Intelligence within the Department of Data Analytics & Economics at Oklahoma City University's School of Business. His academic foundation includes a Ph.D. in Information Systems specialized in Artificial Intelligence, an M.S. in Data Analytics, and a B.Tech. in Electronics and Communication Engineering. His research portfolio spans critical domains including Health Information Technology, Population Health, Health Informatics, Social Media Mining, and Data Analytics. Ambati focuses on integrating AI and analytics to solve healthcare challenges, particularly in telemedicine security, IoT healthcare systems, and population health management. His work consistently addresses data privacy, security frameworks, and the societal implications of digital health technologies. Analysis of his 15 most recent publications (2022-2025) reveals a dominant focus on healthcare technology convergence. Key thematic clusters include blockchain-enhanced telemedicine security (4 articles), AI-driven IoT healthcare systems (3 articles), and social media mining for public health insights (2 articles). Secondary themes encompass network security protocols, biomechanics applications, and gender bias analysis in digital marketplaces, demonstrating interdisciplinary rigor across computer science, healthcare, and social informatics. Scientific recognition includes publication in high-impact venues such as BMC Medical Informatics and Decision Making, Journal of Intelligent and Fuzzy Systems, and IEEE Transactions. His peer review contributions span over 25 prestigious outlets including IEEE Transactions on Industrial Informatics, International Journal of Environmental Research and Public Health, and HICSS. Ambati maintains active academic service as a referee for major conferences (AMCIS, HICSS) and journals across computing and healthcare domains. His departmental role emphasizes bridging theoretical data analytics with practical business applications, particularly in healthcare innovation. No laboratory or team affiliations were specified in source materials.

Valentina GrazianView profile

Research Fellow

• Cryptography
• Group Theory
• Fusion Systems
• +3 more

Valentina Grazian is a Research Fellow in Algebra at the University of Padua (IT) since September 2024. Her academic journey includes roles as a Postdoctoral researcher at the University of Salerno (2023–2024) and University of Milano–Bicocca (2020–2023), and a Lecturer at the University of Padua (2019–2020). She completed her PhD at the University of Birmingham under Prof Chris Parker, with a thesis titled "Fusion systems on p-groups of sectional rank 3". Research Interests: Grazian focuses on fusion systems, group theory, cryptography (specifically fully homomorphic encryption), and algebraic structures. She has contributed to projects like the EPSRC-funded "Fusion Systems and Localities" at the University of Aberdeen (UK). Her work bridges pure mathematics and applications in cryptography and education. Professional Affiliations: Member of the Unione Matematica Italiana, European Women in Mathematics, INDAM GNSAGA group, and AGTA (Advances in Group Theory and Applications). She organized the Algebra Seminar at the University of Milano–Bicocca and has published extensively in peer-reviewed journals. Grants & Projects: Participated in the EPSRC project "Fusion Systems and Localities" (2017–2018). Her current research explores cryptographic applications of algebraic systems and pedagogical tools like WIMS for primary education. Labs/Teams: Part of the Algebra group at the University of Padua and collaborated with researchers like Carlo Blundo and Ellen Henke. She advocates for gender equity in mathematics through her involvement with European Women in Mathematics.

Christos-Efthymios KotselidisView profile

Associate Professor

• Computer Architecture
• Parallel and Distributed Computing
• High-Performance Computing
• +4 more

Christos-Efthymios Kotselidis is an Associate Professor in the Department of Computer Science at the University of Manchester. His work focuses on runtime systems, heterogeneous computing, and high-performance computing. He leads research in optimizing Java programs using frameworks like TornadoVM and explores GPU acceleration for cryptography (FHE). His contributions include advancements in vectorization for RISC-V architectures and memory analysis of Java benchmarks. Education: PhD in Computer Science (2011) from the University of Manchester, supervised by Prof. Steve Furber and Dr. Chris Kirkham, with a thesis on Distributed Software Transactional Memory. Research Interests: Runtime environments, parallel programming models, compiler optimization, and hardware-software co-design. His work aligns with UN SDG 9 (Industry, Innovation, and Infrastructure) through digital futures research. Notable Achievements: Recipient of the Best Paper Award (2017) Principal Investigator in the Centre for Digital Trust and Society (2021–present) Over 49 peer-reviewed publications, including books and conference contributions on topics like FHE acceleration and runtime systems Lab/Team Affiliations: Member of the Advanced Processor Technology group and collaborates on the Digital Futures research beacon at the University of Manchester.