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Josh BenalohView profile

Adjunct Professor

• Cryptography
• Voting Systems
• Quantum Computing
• +4 more

Josh Benaloh is a Senior Cryptographer at Microsoft Research and an Adjunct Professor at the Paul G. Allen School of Computer Science and Engineering, University of Washington. He has spent 17 years on the Board of Directors of the International Association for Cryptologic Research and is renowned for his 1987 Yale PhD dissertation introducing homomorphic encryption for end-to-end verifiable elections. S.B., MIT M.S., M.Phil., Ph.D., Yale University Research Interests focus on cryptography, voting systems, and quantum computing. His work bridges mathematical theory with real-world applications, particularly in secure election technologies like ElectionGuard, which uses homomorphic encryption and mix-nets for verifiability. Scientific Leadership includes serving on program committees for major cryptography/election conferences and co-authoring the 2018 National Academies report Securing the Vote — Protecting American Democracy , which shaped election integrity frameworks. Advising & Projects include mentorship of PhD interns Anunay Kulshrestha (Princeton) and Karan Newatia (University of Pennsylvania) on enhancing ElectionGuard for mail-in voting and quantum-resistant systems. He also explored voter verification techniques and dispute resolution challenges in cryptographic elections. Labs & Teams are the Microsoft Research Special Projects group and the MSR Cryptography group, where he drives innovations in secure voting and cloud security. He previously chaired Seattle’s Sound Transit Citizen Oversight Panel and contributes to puzzle design competitions.

Eric HowardView profile

Research Fellow

• Quantum Physics
• Machine Learning
• Gravitational Waves
• +4 more

Dr. Eric Howard is a Research Fellow at Macquarie University , affiliated with the School of Engineering , School of Mathematical and Physical Sciences , and School of Computing . His research spans interdisciplinary domains at the intersection of quantum physics, machine learning, and AI-driven systems. Key research themes include: Quantum cryptography for Industry 4.0 security Machine learning in IoT temperature sensing Adversarial AI in cybersecurity 6G wireless communication optimization Quantum information processing Deep learning for data imputation Recent publications demonstrate a focus on emerging technologies, with articles on quantum Bayesian inference , 6G signal processing , and smart city IoT systems . His collaborative work extends to blockchain-enabled supply chain visibility and generative AI applications in programming. Research collaborations span institutions in India (AIP Publishing) and Australia, with technical contributions to quantum dynamics, neural network applications, and nanosensor development.

Haoran RenView profile

Research Fellow

• Nanophotonics
• Metasurfaces
• Optical Fibre
• +5 more

Dr. Haoran Ren is a Research Fellow at Macquarie University and currently serves as an ARC DECRA Fellow at Monash University . His research focuses on Nanophotonics , with expertise in metasurfaces, orbital angular momentum, and holography. Education : PhD in Optics from Swinburne University of Technology (2013-2017). Dr. Ren's work explores advanced optical materials and nanotechnology for fundamental light-matter interactions and photonic applications. His research outputs include breakthroughs in orbital angular momentum holography, metasurface design, and chip-scale light manipulation. Scientific Awards include the Chinese Government Prize (2016), OSA Foundation Travel Grant (2015), Victoria Fellowship (2018), Humboldt Fellowship (2019), and major fellowships from Macquarie University and ARC . Dr. Ren has secured significant grants, including the ARC DP ($350k), ARC DECRA ($434k), and Macquarie Research Infrastructure Schemes . He is an Associate Investigator for the ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS) and actively contributes to scientific communities as an editor, reviewer, and seminar organizer.

Corey ClarkView profile

Assistant Professor

• Artificial Intelligence
• Game Development
• Human Computation
• +4 more

Corey Clark, Ph.D., serves as Deputy Director of Research and Assistant Professor in the Department of Computer Science and Engineering at Southern Methodist University's Lyle School of Engineering. He leads the Human and Machine Intelligence (HuMIn) Game Lab, pioneering research at the intersection of gaming, artificial intelligence, and human computation to solve large-scale problems in healthcare, education, and national security. Dr. Clark holds a Ph.D., M.S., and B.S. in Electrical Engineering from The University of Texas at Arlington, where he graduated Magna Cum Laude for his undergraduate degree. His doctoral research focused on nanoscale modeling and simulation techniques for Molecular Beam Epitaxy and Chemical Vapor Deposition of exotic materials. His research spans Artificial Intelligence, Game Development, Human Computation, Distributed Computing, Machine Learning, Computational Biology, and Educational Technology. Clark is renowned for transforming commercial video games into distributed computing platforms through human computation, enabling breakthroughs in medical diagnostics and educational technology. His technical innovations in HTML5/JavaScript multithreading have been featured at major international game conferences. Analysis of Clark's 15 most recent publications (2022-2024) reveals a dominant focus on generative AI applications integrated with gaming mechanics, particularly for knowledge graph enhancement, medical diagnostics, and computational thinking education. Key trends include explainable AI systems, human-AI collaboration through gameplay, blockchain applications, and privacy-preserving machine learning, demonstrating consistent innovation in applying game-based approaches to real-world problems. Dr. Clark has secured over $1.7 million in competitive research funding, including: Human Computation for Ocular Tomography Analysis ($62,924) with Retina Foundation Cryptocurrency Transactional Analysis via Gaming ($60,000) with Raytheon Game-Based Adult Literacy (XPrize) ($480,000) Flexible Electronics for Airborne Laser ($820,000) with Missile Defense Agency Networked C4ISR Chip ($850,000) with US Army As CTO for Dallas-based game technology companies, Clark has helped raise over $12 million in startup funding. His HuMIn Game Lab currently develops immersive gameplay systems for cancer treatment research using crowdsourced computation and machine learning, with recent projects including therapeutic discovery platforms and blockchain-based task completion systems.

Aleksandar JurišićView profile

Professor

• Algebraic Combinatorics
• Cryptography
• Algorithmic Number Theory
• +4 more

Aleksandar Jurišić is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he serves as Head of the Laboratory for Cryptography and Computer Security. He also maintains an affiliation with the Institute of Mathematics, Physics and Mechanics (IMFM) in Ljubljana and occasionally teaches at the Faculty of Mathematics. His educational background includes: B.A. from University of Ljubljana (1987), working under Joze Vrabec on topology applications in combinatorics M.Sc. (1990) and Ph.D. (1995) from University of Waterloo, working under Chris Godsil in algebraic combinatorics Jurišić's research interests focus on Algebraic Combinatorics, Cryptography, and Algorithmic Number Theory . His work bridges theoretical mathematics with practical security applications, particularly in elliptic curve cryptography and finite field implementations. He has made notable contributions to understanding mathematical phenomena like the Mercedes knot problem, which connects everyday observations with advanced mathematical concepts. His publications demonstrate a consistent focus on cryptographic implementations, particularly for resource-constrained environments like smart cards. His research spans theoretical mathematics (knot theory, combinatorics) to applied cryptography, showing how abstract mathematical concepts can solve practical security problems. Among his scientific recognitions , he received the Hasse Prize for his paper 'The Mercedes knot problem' published in American Mathematical Monthly. In 2005, he co-founded the Slovenian Society of Cryptology, demonstrating leadership in establishing cryptography as a field in Slovenia. As an educator and mentor , Jurišić has supervised over 25 diploma theses, 4 master's theses, and 1 PhD dissertation. His courses include Probability and Statistics, Cryptography and Computer Security, and Introduction to Probability and Statistics. He has led numerous educational projects focused on e-content development for mathematics and cryptography education. He leads the Laboratory for Cryptography and Computer Security , which has been involved in multiple Structural Funds projects including PKP series (e-content in education), NA-MA POTI (mathematical literacy), and ŠIPK 1 (Cryptogram - a portal for cryptography and computer security).

• Cybersecurity
• Infocommunications
• Cloud Technologies
• +5 more

Alexey Nikolaevich Nazarov is a Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE), where he has worked since 2015. His academic and teaching experience spans 14 years, with a focus on cybersecurity, cloud technologies, and information confrontation in social media. Doctor of Technical Sciences (2000) Engineer-Mathematician, Moscow Geological Prospecting Institute (1980) UN and ITU-certified expert His research interests center on cybersecurity , information warfare , and mathematical modeling , particularly in IoT and social media contexts. Articles highlight trends in neural network intrusion detection , ferroelectric memory devices , and cloud resource optimization . He has supervised 5 postgraduate and 2 doctoral students, organized scientific seminars, and contributed to cloud technology curricula. His expertise includes international standards (ITU, VAK), Skolkovo grant #87 (2012), and leadership in cybersecurity research.

• Machine Learning
• Health Informatics
• Cancer Research
• +5 more

Jan Franz Nygård is an Associate Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His work bridges Machine Learning with Health Informatics , focusing on cancer registries, AI for medical diagnostics, and data-driven healthcare solutions. UiT The Arctic University of Norway Department of Physics and Technology His research spans Cancer Research , Artificial Intelligence , and Data Science , with recent studies on synthetic data applications, federated learning, and quantum computing in healthcare. Over 15 recent publications highlight his contributions to breast cancer detection, cervical cancer risk prediction, and software testing for medical systems. Key collaborations include partnerships with the Cancer Registry of Norway , international consortia on federated networks, and interdisciplinary teams in Medical Imaging and Bioinformatics . His work addresses challenges in Secure Health Data Analysis and Population Health Management .

• Algebraic Cryptanalysis
• Post-Quantum Cryptography
• Symmetric Cryptography

Morten Øygarden is a Postdoctoral Fellow in the Department of Cryptography at Simula UiB, a joint research initiative between Simula Research Laboratory and the University of Bergen. His work bridges theoretical cryptography and practical security analysis within Norway's premier cryptographic research environment. His educational background culminates in a 2021 PhD from the University of Bergen with the thesis "Algebraic Cryptanalysis of Cryptographic Schemes with Extension Field Structure", establishing his expertise in algebraic methods for cryptanalysis. Øygarden's research focuses on Algebraic Cryptanalysis , Post-Quantum Cryptography , and Symmetric Cryptography , specializing in vulnerabilities of multivariate systems, code-based schemes, and ring-based primitives. He develops novel Gröbner basis techniques to break cryptographic assumptions underlying quantum-resistant candidates, with direct implications for NIST standardization processes. Analysis of his 2020-2024 publications reveals consistent innovation in algebraic attack methodologies, particularly against arithmetization-oriented primitives for zero-knowledge proofs and MPC-friendly ciphers. His work demonstrates exceptional depth in exploiting mathematical structures of symmetric primitives while advancing post-quantum security evaluations of multivariate and code-based systems. His publication record in top venues including CRYPTO, EUROCRYPT, and the Journal of Cryptology reflects significant contributions to cryptographic science, though specific awards or grant details are not documented in available sources.

• Cryptography
• Security analysis of cryptographic algorithms
• Fully Homomorphic Encryption
• +1 more

Håvard Raddum serves as Chief Research Scientist in the Department of Cryptography at Simula UiB, a joint research entity of Simula Research Laboratory and the University of Bergen. His primary focus involves advancing cryptographic security through algorithm analysis, Fully Homomorphic Encryption applications, and hardware-level attack mitigation. Raddum's research spans cryptography with specialization in security analysis of cryptographic algorithms, practical deployment of Fully Homomorphic Encryption, and physical attacks on hardware implementations. His work addresses vulnerabilities in symmetric ciphers, multivariate schemes, and lattice-based systems through algebraic cryptanalysis, side-channel techniques, and theoretical security proofs. Analysis of his 2019-2025 publications reveals concentrated expertise in cryptanalysis across diverse primitives. Key trends include algebraic attacks on arithmetization-oriented cryptography, side-channel analysis of lightweight ciphers, error detection in lattice computations, and security evaluations of Fully Homomorphic Encryption. His research consistently bridges theoretical frameworks with practical implementation vulnerabilities.

• Data Science
• IoT
• Blockchain
• +5 more

Zheng Wen is an Associate Professor (non-tenure-track) at Waseda University, affiliated with the Faculty of Science and Engineering and the Global Center for Science and Engineering. His research spans multiple interdisciplinary domains at the intersection of information technology, security systems, and artificial intelligence applications. Dr. Wen received his Ph.D. from Waseda University between 2013 and 2019, following undergraduate studies at Wuhan University from 2005 to 2009. Dr. Wen's research interests focus on the convergence of emerging technologies for practical applications. His primary areas include Data Science , Internet of Things (IoT) , Blockchain , and Artificial Intelligence , with specific applications in communication networks, disaster management, and content-oriented networking. His work demonstrates a strong emphasis on solving real-world problems through technological innovation, particularly in security-critical domains. Analysis of Dr. Wen's publication record reveals a consistent research trajectory focused on applying machine learning and AI techniques to security and communication challenges. His recent work shows increasing emphasis on blockchain applications for IoT security, GNSS spoofing detection for drone systems, and millimeter-wave imaging for security applications. The interdisciplinary nature of his research connects computer science, electrical engineering, and practical security implementations. Dr. Wen is an active member of professional organizations including IEEE and IEICE, reflecting his engagement with the broader academic community in his fields of expertise. While specific details about his advising and grant activities are not provided in the available information, his extensive publication record across multiple domains suggests active research supervision and likely participation in collaborative research projects. His work on drone security, blockchain applications, and millimeter-wave imaging indicates potential industry partnerships and practical implementations of his research. Dr. Wen's research appears to be conducted within collaborative teams focusing on security systems, wireless communications, and AI applications, with frequent co-authorship patterns suggesting established research groups working on related projects in these domains.

• Cryptography
• Cloud Security
• Secure Outsourcing
• +3 more

Dr. Matluba Khodjaeva is an Associate Professor in the Department of Mathematics and Computer Science at John Jay College of Criminal Justice, City University of New York (CUNY). She is also a Graduate Faculty member in the Digital Forensics and Cyber Security program at John Jay and a Doctoral Faculty member in Computer Science at the CUNY Graduate Center. Her academic career is dedicated to advancing research in cryptography and training the next generation of cybersecurity professionals. Her educational background includes: Ph.D. in Computer Science / Cryptography from The Graduate Center, CUNY (2017) M.Phil. in Computer Science from The Graduate Center, CUNY (2017) M.S. in Computer Science from City College of New York, CUNY (2017) M.A. in Mathematics from Hunter College, CUNY (2011) B.A. in Mathematics from Hunter College, CUNY (2011) Dr. Khodjaeva's research focuses on cryptography, particularly secure outsourcing of computations to the cloud and the design of efficient cryptographic protocols for resource-constrained devices like RFID tags and embedded systems. Her work bridges theoretical security with practical applications, ensuring sensitive data protection in environments with limited computational power. She has made significant contributions to delegated computation, enabling secure and efficient offloading of cryptographic operations to cloud servers. Her recent publications (2018-2024) demonstrate a consistent focus on delegated computation, with an emphasis on pairing-based cryptography, RSA operations, and lattice-based schemes for post-quantum security. The research trends show increasing attention to practical implementations for IoT and cloud environments, with a strong emphasis on efficiency and security against malicious servers. Dr. Khodjaeva has received notable recognition for her scholarly work: Best Paper Award in Journal of Mobile Multimedia (2020) Second-Best Paper Award at the 4th Workshop on CPS&IoT Security and Privacy (2022) As an active researcher, Dr. Khodjaeva has secured multiple competitive grants to support her work. She has been the Principal Investigator (PI) for eight consecutive PSC-CUNY research grants from 2019 to 2026, totaling over $48,000, and served as Co-PI on a $299,993 NSF SaTC grant. Her grant portfolio reflects a sustained research program in secure delegated computation. In addition to her research, she is deeply committed to student mentorship through undergraduate and graduate courses, independent studies, and research projects in cryptography and cybersecurity. Although Dr. Khodjaeva does not lead a named research laboratory, she collaborates extensively with researchers including G. Di Crescenzo, D. Kahrobaei, and V. Shpilrain. Her research group consists of students and collaborators working on cutting-edge problems in cryptography, with opportunities for students to engage in funded projects and co-author publications.

Erik GaugerView profile

Professor

• Quantum Nanostructures
• Quantum Technologies
• Condensed Matter Physics
• +5 more

Erik Gauger is a Professor at the Institute of Photonics and Quantum Sciences , School of Engineering & Physical Sciences, Heriot-Watt University. He leads the Quantum Technology Theory group , focusing on quantum nanostructures for energy, sensing, and information processing technologies. His work bridges condensed matter physics, quantum optics, and quantum biology through analytical and numerical modeling. Diplom in Physics, University of Konstanz (2005) DPhil in Physics, University of Oxford (2009) Postdoctoral Research Fellow at Oxford (2009-2011) Research/Senior Fellow at National University of Singapore (2011-2014) Proleptic Assistant Professor at Heriot-Watt (2015) Associate Professor (2020) Full Professor (2022) Research interests include quantum transport optimization, environmentally assisted energy transfer, and quantum coherent effects in artificial/natural nanostructures. Recent work explores dipole engineering, non-Markovian dynamics, and bio-inspired quantum technologies. Collaborations include experimental teams across Europe and Singapore. Notable awards: Royal Society of Edinburgh's Young Academy membership (2018) and Personal Research Fellowship (2015). His group contributes to UN SDG 7 (Affordable Energy) and 13 (Climate Action) through quantum energy technologies. Edinburgh Young Academy of Scotland Royal Society of Edinburgh Fellowship He supervises PhD students and develops simulation toolkits like ACE (non-Markovian open quantum system solver). Current activities include adaptive quantum estimation, cooperative emission studies, and exploring quantum ratchet states for energy harvesting.

• network security
• network measurement and analysis
• cloud computing
• +4 more

Dr. Kuai Xu serves as a Professor of Computer Science at Arizona State University's School of Mathematical and Natural Sciences within the New College of Interdisciplinary Arts and Sciences. He maintains affiliations with the Center for Cybersecurity and Trusted Foundations, focusing on securing critical network infrastructures. His academic credentials include: Ph.D. in Computer Science, University of Minnesota (2006) M.S. in Computer Science, Peking University, China (2001) B.S. in Computer Science, Peking University, China (1998) Dr. Xu's research centers on network security , network measurement , and IoT systems , with significant contributions to smart home security, network behavior analysis, and social media epidemiology. His work bridges theoretical modeling and practical implementations for real-world network challenges. Recent publications (2022-2025) reveal a concentrated focus on IoT security frameworks, machine learning-driven activity inference from device traffic, and pandemic surveillance through social media analysis. Key themes include DNS security hardening, attack graph modeling, and privacy-preserving spatial analytics in smart environments. Through courses like ACO 331 (Network Forensics Analysis) and ACO 361 (Secure Coding Concepts), Dr. Xu mentors students in cybersecurity fundamentals while supervising research via ACO 399 and individualized instruction (ACO 499). His teaching integrates cutting-edge research into classroom applications. As an active affiliate of ASU's Center for Cybersecurity and Trusted Foundations, Dr. Xu contributes to interdisciplinary initiatives addressing emerging threats in home networks, IoT ecosystems, and social media platforms.

• Digital Communications
• Signal Processing
• Specific Emitter Identification
• +7 more

Donald R. Reising serves as a Guerry and UC Foundation Professor of Electrical Engineering in the College of Engineering and Computer Science at the University of Tennessee at Chattanooga (UTC). He holds appointments in both the Electrical Engineering department and the Computational Science program, with active roles in university governance as Faculty Senate Chair (2022-2025) and member of multiple strategic committees including the PhD Computational Science Committee. B.S. in Electrical Engineering, University of Cincinnati (2006) M.S. in Electrical Engineering, Air Force Institute of Technology (2009) Ph.D. in Electrical Engineering, Air Force Institute of Technology (2012) Dr. Reising's research spans three interconnected domains: wireless security through Specific Emitter Identification (SEI) and RF fingerprinting, smart grid intelligence for real-time disturbance analysis, and radiation effects characterization in microelectronics. His work integrates machine learning with signal processing to solve critical infrastructure protection challenges, particularly in adversarial environments where traditional security measures fail. Recent publications demonstrate increasing focus on deep learning countermeasures against SEI spoofing attacks and edge-computing solutions for power grid resilience. His 15 most recent publications reveal strong emphasis on adversarial machine learning (6 articles), SEI robustness under environmental stressors (5 articles), and smart grid data analytics (3 articles), with growing interdisciplinary work in quantum correlations and transportation safety. This trajectory shows evolution from foundational RF fingerprinting techniques toward comprehensive security frameworks for critical infrastructure. IEEE Chattanooga Chapter's Outstanding Engineer Award (2022) UTC’s Outstanding University Service Award (2018) AFRL Sensors Directorate Dr. Samuel M. Burka Award (2013) Association of Old Crows Research Excellence Award (2009) MASINT Committee Academic Excellence Award (2009) Dr. Reising leads multiple research initiatives including the RF Security Lab and Smart Grid Analytics Group, securing consistent funding from DoD agencies (AFRL, ARL), NSF, and industry partners like EPRI. His service extends to advising graduate students through the Computational Science PhD program and directing undergraduate research in radiation effects characterization. Current projects focus on SEI resilience against deep learning attacks, quantum-enhanced signal processing, and edge-computing solutions for grid cybersecurity.

Eugenio SantagataView profile

Adjunct Professor

• Cybersecurity
• International Business Development
• Public Affairs
• +5 more

Eugenio Santagata serves as Adjunct Professor at Luiss Business School and Khalifa University in Abu Dhabi, where he teaches computer and information engineering with focus on security applications. His academic roles complement executive positions as Chief Public Affairs Officer at TIM Group (€14B revenue telecom leader) and CEO of national cybersecurity contractor Telsy SpA. His educational foundation includes: BA in Political Science (University of Turin) Law Degree (Second University of Naples) LL.M. & Master in Management (Hamline Mitchell University) MBA (London Business School) Executive Certification (Italian Centre for Defense Higher Studies) Santagata's expertise converges at the nexus of military security protocols and commercial digital infrastructure. His teaching emphasizes cryptography implementation in live telecom environments, drawing from battlefield experience commanding NATO electronic warfare units. Current research priorities include quantum-resistant encryption deployment and cross-border cyber intelligence frameworks developed through Telsy's government contracts. Students benefit from direct access to TIM's international business network and Telsy's classified cybersecurity operations. Santagata facilitates internships in high-security divisions requiring security clearances, leveraging his military command background to place students in operational roles rather than observational positions. His Abu Dhabi residence enables unique Gulf region cybersecurity partnerships. A former Army Officer with platoon command experience at the Military Academy, Santagata applies military operational rigor to academic challenges. His multilingual capabilities (5 languages) support collaborations across NATO, MENA, and CIS defense networks, creating student pathways typically inaccessible in conventional academic settings.