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Xinyu LeiView profile

Assistant Professor

• Distributed Computing
• Mobile Computing
• Data Science
• +6 more

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU) , where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU) , advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017). University: Michigan Technological University Department: Computer Science Academic Rank: Assistant Professor PhD Institution: Michigan State University His research focuses on distributed computing , mobile systems , data science , and trustworthy machine learning , with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom , IEEE TDSC , and IEEE TIFS , addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems. Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY). Research Grants: NSF CRII: CNS-2153393 ($175K, Sole-PI) Professional Activities: Program Committee: CVPR'24, INFOCOM'24 TPC: BigDataService'20, Workshop Mobicom'19 Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.

Marin KalužaView profile

Professor

• Databases
• Software Engineering
• Computer Science
• +4 more

Marin Kaluža is a Professor of Professional Studies at Veleri University, holding a permanent position. His expertise spans Database Systems, Software Engineering, and Information Technology . He teaches courses in Databases, Distributed Systems, Programming Practices, and Software Engineering Methodologies. His research focuses on database compliance standards, blockchain consensus algorithms, web application frameworks, and cloud migration strategies. He actively publishes in peer-reviewed journals, with notable work on SQL standard adherence, React vs Vue.js framework comparisons, and IoT educational systems. Dr. Kaluža advises students on practical software development projects and maintains an active research agenda in data modeling techniques and cybersecurity for CMS platforms. His contributions include pioneering methodologies for business system complexity estimation and RESTful web service architecture design. He is accessible for student consultations on Mondays and Thursdays, and via mobile during work hours. Teaching Responsibilities: Databases, Software Engineering, Programming Practicum Key Research Themes: Database Standards, Cross-Platform Development, Cloud Migration Notable Projects: Veleri-OI IoT School Meteo System, Knowledge-Based Data Modeling Framework Though no formal awards are listed, his extensive publication record (over 50 articles since 2002) demonstrates sustained academic contribution to IT education and applied research.

Merrill LiechtyView profile

Clinical Professor

• Bayesian Statistics
• Portfolio Selection
• Higher Moment Estimation
• +5 more

Merrill Liechty is a Clinical Professor in the Decision Sciences and MIS department at Drexel University's LeBow College of Business . While his primary responsibility involves teaching statistics, his research emphasizes Bayesian statistics applied to portfolio selection, higher moment estimation, and social interaction analysis using functional Near-Infrared Spectroscopy (fNIRS). Research interests span Bayesian statistical modeling, financial econometrics, and computational methods for multivariate analysis. He has also pioneered studies on face-to-face human communication through non-obfuscated fNIRS data, co-founding Brytfish to translate these findings into practical conversation skill training. Publication trends reveal expertise in Bayesian portfolio optimization, MCMC algorithms, and statistical modeling for finance and supply chain reliability. His work frequently integrates theoretical rigor with real-world financial applications. 2016 : Fellow of the Institute of Strategic Leadership (LeBow College of Business) 2015 : Fellow of the Institute for Strategic Leadership 2004-2005 : Mini-Grant recipient (LeBow College Center of Teaching Excellence) Liechty has also served as a statistical consultant at Duane Morris LLP and Zeichner Ellman & Krause LLP, and previously held a corporate role as Chief Data Officer at Old Dominion Racing.

RamyaaView profile

Assistant Professor

• Theory of Computation
• Computational Complexity
• Logic
• +7 more

Ramyaa is an Assistant Professor in the Department of Computer Science & Engineering at New Mexico Tech. Her research focuses on the intersection of computation, logic, and emerging models of computation, including implicit complexity theory and biologically inspired neural networks. She also explores machine learning applications in real-world problems and interpretable AI. Education: Ph.D. in Computer Science, with a focus on theoretical foundations. Research Interests: Implicit complexity (relating logical complexity to computational resource constraints), formalization of computational models (e.g., biological neural networks), machine learning (including neural network training, adversarial robustness, and program synthesis), and applications in healthcare, security, and education. Her work emphasizes adaptable complexity measures for novel computational frameworks. Recent Trends in Publications: Recent work includes reinforcement learning for astrophysical data workflows, biologically inspired sleep algorithms for neural networks, and machine learning applications in nutritional epidemiology. She also explores educational technology, such as games for teaching logic and interactive programming tutorials. Grants & Advising: Advises research in machine learning, theoretical computer science, and interdisciplinary applications. Active in grant-seeking for projects at the intersection of theory and applications. No listed students, but collaborates widely with researchers globally. Affiliations: Fellow at the Simons Institute for the Theory of Computing (Berkeley), organizer of conferences like ICALT and CSR, and contributor to initiatives like WiCS at NMT. Teaches courses in formal languages, automata theory, and reinforcement learning.

Paolo FalcarinView profile

Associate Professor

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +5 more

Paolo Falcarin is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. His research focuses on cybersecurity, software engineering, and AI compliance, with notable contributions to software protection mechanisms, reverse engineering defenses, and cyber-physical systems. He actively participates in editorial roles for journals like Computers & Security and serves on program committees for IEEE/ACM conferences. Key Projects: ASPIRE (EU FP7), SERICS (PNRR), and Flexymob (Currant s.r.l.) Research Interests: Cybersecurity Knowledge Graphs, Runtime Security (Falco), AI Act Compliance, and Software Renewability His work bridges theoretical cybersecurity advancements with practical applications in distributed systems and IoT. Recent publications emphasize anomaly detection in large-scale systems and regulatory compliance frameworks for AI.

• System Security
• Privacy
• Cybersecurity
• +3 more

Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).

Tim SherwoodView profile

Professor

• Computer Architecture
• Computer Security
• Hardware Security
• +7 more

Tim Sherwood is a Professor of Computer Science and Dean of the College of Creative Studies at UC Santa Barbara. He leads the UCSB Computer Architecture Lab (ArchLab) and co-founded Cycuity (formerly Tortuga Logic). His research focuses on secure and energy-efficient computing, superconducting architectures, and interdisciplinary projects like SEEDS. He holds a B.S. from UC Davis (1998) and M.S./Ph.D. from UC San Diego (2003) under Brad Calder. Awards include ACM Fellow (2023), IEEE Fellow (2022), and numerous best paper awards. Research interests span neuro-inspired temporal logic, hardware security, 3D integration, and accelerating machine learning. He emphasizes mentoring, having mentored over 20 students highlighted in awards. Teaching includes courses on computer organization, compiler design, and advanced architectures. Collaborations with industry and academia address challenges in trustworthy computing and future hardware paradigms. Notable achievements include the ASPLOS Most Influential Paper Award (2017) for SimPoint and leadership in securing hardware architectures. Current work explores superconducting computing, low-energy neural networks, and privacy-preserving systems.

• Cybersecurity
• Code Obfuscation
• Malware Analysis
• +3 more

Sebastian Schrittwieser is a Researcher in the Research Group Security and Privacy, part of the Faculty of Computer Science. His work focuses on cybersecurity, code obfuscation, malware analysis, and machine learning applications in security. He leads and contributes to projects like INODES (Cyber Defense Strategies) and EMRESS (Resilience Evaluation Models). His research bridges theoretical foundations and practical applications, addressing challenges in software protection and threat detection. Key research interests include: Code Obfuscation Techniques and Resistance Adversarial Machine Learning and Risk Assessment Malware Analysis and Program Simulation User Behavior in Cybersecurity Contexts Recent publications emphasize empirical studies on IT/OT infrastructure security, graph neural network vulnerabilities, and quantum-inspired machine learning. He actively collaborates with institutions like SBA Research and presents at international conferences. Grants include Research Funding for projects on optimal cyber defense strategies (INODES) and software resilience evaluation (EMRESS). His work aligns with interdisciplinary efforts in security engineering and privacy-preserving technologies.

Alexandre BartelView profile

Professor

• Software Engineering
• Computer Security
• Android Security
• +3 more

Alexandre Bartel is a Professor at Umeå University's Department of Computing Science and a member of the Research Management Group Software at the Wallenberg AI, Autonomous Systems and Software Program (WASP). His primary research focuses on software engineering and computer security, with particular emphasis on Java vulnerabilities, Android security, and cryptographic systems. His recent publications highlight trends in Control Flow Integrity (CFI) adoption Java deserialization attacks Android malware detection using BERT Blockchain wallet security JVM fuzzing for type confusion Secure development practices As head of the Software Engineering and Security research group, he contributes to advancing security methodologies for complex software systems, particularly in collaboration with European research initiatives.

Andrea ColadangeloView profile

Assistant Professor

• Quantum Computation
• Quantum Cryptography
• Entanglement and Quantum Correlations
• +3 more

Andrea Coladangelo is an Assistant Professor at the Allen School of Computer Science & Engineering, University of Washington. He co-leads the Quantum group and is affiliated with the Theory and Crypto groups. He coordinates the NSF-funded Quantum@UW REU program and teaches courses in quantum computation and quantum learning theory. PhD in Computer Science from Caltech (advisor: Thomas Vidick) Postdoctoral researcher at UC Berkeley and the Simons Institute (advisor: Umesh Vazirani) BA in Mathematics from University of Oxford Master in Mathematics from University of Cambridge His research focuses on the intersection of quantum computation and cryptography , particularly quantum pseudorandomness, device certification, and quantum learning theory. His work explores foundational questions about entanglement, non-local games, and quantum cryptographic protocols. Recent publications examine quantum money, zero-knowledge arguments, and separations between finite/infinite-dimensional quantum correlations. Coladangelo's 15 most recent papers address topics like quantum cryptographic foundations , entanglement verification , and pseudorandom state construction . Key venues include Eurocrypt, STOC, CRYPTO, and QIP. His work often bridges theoretical quantum information with practical implementations on cloud-based quantum devices via platforms like qBraid . Google Research Scholar Award (2025) CSE Undergraduate Teaching Award (University of Washington, 2023) Best Student Paper (QIP 2019) He advises PhD student Er-Cheng Tang and has taught courses like CSE 434: Intro to Quantum Computation and CSE 599C: Quantum Learning Theory . Coladangelo also delivered a lecture series at the 22nd Bellairs Crypto Workshop (2024) on "Random and pseudorandom quantum states."

Rajesh GanesanView profile

Associate Professor

• Cybersecurity
• Healthcare Operations
• Transportation Systems
• +6 more

Rajesh Ganesan is an Associate Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. His research focuses on applying advanced mathematical and computational methods to solve complex decision-making problems under uncertainty across multiple critical domains including cybersecurity, healthcare, defense, and transportation systems. His research interests span cybersecurity operations, healthcare resource allocation, transportation systems optimization, stochastic optimization, and reinforcement learning. Ganesan's work addresses fundamental challenges in sequential decision-making under uncertainty, with applications ranging from cybersecurity analyst scheduling to liver transplant allocation and air traffic management. His research has significant implications for national security, public health, and transportation efficiency. His publication record demonstrates consistent contributions to high-impact journals and conferences, with recent work focusing on cybersecurity operations centers (CSOCs), adaptive resource allocation, deception technologies, and healthcare optimization. His research methodology combines stochastic optimization, approximate dynamic programming, and reinforcement learning to tackle complex real-world problems. Teacher of Distinction Award, Center for Teaching Excellence ISERC Best Track Paper Award, National Security Track Faculty Study Leave, GMU Provost Office Multiple U.S. Patents in process control and manufacturing Best Paper Awards in air transportation and security domains Ganesan has successfully mentored PhD and Master's students including Poornima Balakrishna (recipient of the INFORMS Best Dissertation Award) and Sameer Kulkarni (recipient of the Transportation Research Board Graduate Research Award). His research has been funded by the National Science Foundation, Department of Defense, NIH, and other agencies, addressing critical challenges in security operations, healthcare systems, and transportation networks. His laboratory work centers around the Center for Secure Information Systems and the Center for Air Transportation Systems Research (CATSR), where he develops computational frameworks for dynamic resource allocation in complex adaptive systems.

Michael GoedickeView profile

Professor

• Specification of Software Systems
• Software Architecture
• E-Assessment with Task-Specific Feedback
• +3 more

Prof. Dr. Michael Goedicke is a faculty member at the University of Duisburg-Essen , holding the Professorship for Practical Informatics / Specification of Software Systems since 1994. His academic career spans over three decades with continuous contributions to software engineering and educational technology.

Dan BonehView profile

Professor

• Applied Cryptography
• Computer Security
• Cryptosystems
• +5 more

Dan Boneh is a Professor of Computer Science and Electrical Engineering at Stanford University , where he leads the Applied Cryptography Group and co-directs the Stanford Computer Security Lab. His research focuses on applications of cryptography to computer security, including cryptosystems with novel properties, mobile/web security, and cryptanalysis. Recipient of the Gödel Prize, Packard Award, Alfred P. Sloan Award, RSA Award in Mathematics, and five Best Paper Awards Co-director of Stanford Computer Security Lab Active in academic programs through 2025 as Visiting Scientist and Program Organizer Research interests span applied cryptography, secure computation, and blockchain technologies. Recent work includes exploring obfuscation and quantum-resistant cryptographic protocols. Scientific awards: Gödel Prize Packard Award Alfred P. Sloan Award RSA Award in Mathematics Ishii Award Five Best Paper Awards

Yuval IshaiView profile

Professor

• Theoretical Computer Science
• Cryptography
• Secure Multiparty Computation
• +5 more

Yuval Ishai is a Professor at the Department of Computer Science at the Technion - Israel Institute of Technology , currently on sabbatical at AWS . His research focuses on cryptography, particularly secure multiparty computation, efficient proof systems, and their connections to computational complexity theory. Education: PhD in Computer Science, Technion Research Interests span foundational cryptography, lattice-based algorithms, and decentralized systems. He has contributed to advancements in secure computation and error-correcting codes through collaborations at institutions like UCLA and the Simons Institute. Academic Leadership includes serving as Program Chair for TCC 2011, Eurocrypt 2019, and Eurocrypt 2020. He organized the Cryptography 10 Years Later program at the Simons Institute in Summer 2025. Awards & Recognition: FOCS 2004 Best Paper Crypto 2007 Best Paper Crypto 2016 Best Paper SIAM Outstanding Paper Prize TCC Test of Time Award IACR Fellow (2018)

Huijia LinView profile

Professor

• Cryptography
• Theoretical Computer Science
• Computer Security
• +9 more

Huijia (Rachel) Lin is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington , holding the Paul G. Allen Development Professorship. Her expertise lies in cryptography and its intersections with theoretical computer science and security. She actively contributes to foundational research in program obfuscation, functional encryption, and lattice-based cryptography. Research Focus: Cryptography, secure multiparty computation, non-malleability, concurrent security, functional encryption, attribute-based encryption, program obfuscation, lattice-based cryptography. Academic Leadership: Co-chair of TCC 2025, member of the TCC Steering Committee (2018–present), and associate editor for JACM. Awards & Recognition: NSF CAREER Award, Hellman Fellowship, Cisco Research Award, JPMorgan Faculty Award, Microsoft Research PhD Fellowship, and multiple best paper awards. Her work spans theoretical cryptography, with applications to post-quantum cryptography and secure computation. She has advised numerous PhD students, including those now at institutions like Boston University, MIT, CMU, and Stanford.