Gene Tsudik is the Peter & Lois Griffin Professor at the University of California, Irvine (UCI), affiliated with the School of Information and Computer Sciences. His research focuses on cryptography, computer security, privacy, and applied cryptographic protocols. He has authored over 300 publications in top-tier venues, addressing challenges in secure communication, key management, privacy-preserving technologies, and network security. Key research areas include group key agreement, secure data possession, privacy-preserving protocols, and mobile agent systems. His work has influenced foundational aspects of computational grid security, cloud storage integrity, and post-quantum cryptography. Collaborations include prominent institutions like KAIST, University of Surrey, and NYIT. His publications span topics from theoretical cryptographic proofs to practical system implementations, reflecting a balance between academic rigor and real-world applicability.
Manel del Valle is a Full Professor of Analytical Chemistry at the Autonomous University of Barcelona (UAB), leading the Sensors & Biosensors Group. He specializes in electrochemical sensors, electronic tongues, and biosensor arrays, with contributions to environmental, pharmaceutical, and security applications. His work integrates nanotechnology and artificial intelligence for advanced data processing. PhD in Chemistry (1992) and B.Sc. in Chemistry (1986) from UAB. Former roles: Associate Professor (1997–2018), Assistant Professor (1989–1997). Research interests focus on sensor array design, electrochemical impedance spectroscopy, and automated analytical systems. He has coordinated EU projects like BORDERSENS (H2020) and authored over 220 publications with an h-index of 84. Awards include the ICREA Academy Distinction and multiple research sexennia. Awards: 3rd National Prize for Studies, Extraordinary Doctorate Award, Medical Journal Research Award. Supervised 28 doctoral theses and 36 final projects across chemistry, engineering, and environmental sciences. Current projects include development of portable drug detection devices and bioelectronic tongues for environmental monitoring. Collaborates widely on electronic tongue applications in food, pharmaceuticals, and security.
Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.
Enrique de la Hoz de la Hoz is an Associate Professor at the Department of Automática, University of Alcalá, Spain. His research focuses on Network Security, Telecommunications, and Multi-Agent Systems. He holds a PhD from the University of Alcalá (2017), with a thesis on consensus policy applications in complex negotiations. His work spans Wi-Fi channel optimization, IoT security frameworks, and critical infrastructure resilience using graph theory and multi-agent negotiation techniques. He leads the NetIS research group (Networks and Intelligent Systems), addressing challenges in network resource allocation and secure communication protocols. Key research areas include: Application of graph coloring to Wi-Fi channel assignment and network resilience Multi-Agent systems for distributed decision-making in smart environments Cybersecurity for IoT and critical infrastructure protection Optimization of traffic light systems using intelligent agent coordination His recent work emphasizes reactive resilience mechanisms (e.g., REACT framework) and surgical immunization strategies against network attacks. He has contributed to standards like SDN-based secure routing and access control models for IoT environments. His research methodologies combine theoretical graph theory with practical implementations in real-world network scenarios.
UnivProf.Dr. Delphine Reinhardt is a Professor of Computer Science at the University of Göttingen, serving as Head of the Computer Security and Privacy group and Head of the Dean's Office of the Faculty of Mathematics and Computer Science. She is a core member of the Institute of Computer Science and the Campus Institute Data Science (CIDAS). Her work focuses on privacy engineering in emerging technologies like smart devices, extended reality (XR), and human-robot interaction. Research interests include privacy-preserving computation, IoT security, and ethical AI applications. Her recent work explores privacy challenges in smart speakers, telepresence robots for hospitalized children, and cross-platform XR privacy solutions. She leads multiple courses on security and privacy, including advanced seminars and lab internships. Her publications analyze user privacy perceptions across cultures and technologies, with a focus on quantifying privacy risks in smart environments. She actively contributes to standards through leadership roles, balancing academic research with institutional governance responsibilities. Lab affiliations include the Computer Security and Privacy research group, which develops tools like PrivXR and SensitivAlert. She collaborates on EU-funded projects addressing privacy in smart workplaces and autonomous systems.
Sandra M. Gonzales serves as Associate Professor of Bilingual/Bicultural Education in Wayne State University's College of Education, teaching foundational courses on culture, language, and identity while directing the federally funded Upward Bound program for Latino youth. Her academic credentials include: Ed.D. in International Educational Development, Teachers College, Columbia University (2009) M.Ed. in International Educational Development, Teachers College, Columbia University (2002) M.A. in Psychology, Mental Health Counseling, Antioch University (1996) Certificate in Ethnic Minority Mental Health Specialist, University of Washington (1996) B.S. in Psychology, Michigan State University (1992) Dr. Gonzales pioneers research at the intersection of Bilingual/Bicultural Education, Indigenous epistemologies, and Latino Studies through autohistoria-teoría frameworks. Her work critically examines institutional barriers while developing additive educational models that utilize storytelling to promote cultural and linguistic diversity, directly challenging subtractive schooling practices that marginalize Indigenous and Latino communities. She emphasizes how personal narratives become critical pedagogies for social justice and cross-cultural understanding. Analysis of her 15+ recent publications reveals consistent focus on creating culturally sustaining learning environments through innovative models like Latinx learning communities and "casa away from casa" frameworks. Her research demonstrates how high-impact practices, Indigenous knowledge systems, and community-centered approaches improve retention and graduation rates for marginalized students while countering colonial educational legacies. Her scientific recognition includes: Michigan Distinguished Professor of the Year Wayne State University College of Education Scholarship Award (2016) As principal investigator for the COE Upward Bound program, she secured nearly $1.5 million in federal funding to provide academic guidance and college preparation for Detroit high school students, particularly from Latino backgrounds. Her community engagement extends to the Michigan Department of Education's ELL Advisory Committee and the Detroit Latino Agenda's Education Committee, where she advocates for systemic change. Dr. Gonzales leads the development of tiered learning community models spanning pre-college enrichment through career preparation, creating culturally responsive spaces that validate Indigenous and Latino epistemologies while fostering academic success through familia-centered support networks.
Katharine P. Burnett is Professor of Art History at the University of California, Davis, where she also serves as Chair of the Art History Program, Graduate Chair, and Co-Chair of the Department of Art and Art History (2022–2025). She is the founder and Faculty Director of the Global Tea Institute for the Study of Tea Culture and Science and a Faculty Associate in the East Asian Studies Program. Her academic home is within the Department of Art and Art History in the College of Letters and Science at UC Davis. Education: Ph.D., University of Michigan M.A., University of Michigan B.A., Wellesley College Her research centers on Chinese historical art theory and criticism, particularly of the seventeenth century, as explored in her book Dimensions of Originality . She also investigates art collecting and display, exemplified in her acclaimed work Shaping Chinese Art History: Pang Yuanji and His Painting Collection . A major focus of her scholarship is the international spread of visual and material culture related to the global tea trade. She teaches courses on Chinese art from the Neolithic to the present, including specialized seminars on tea culture, ceramics, and travel painting. Her interdisciplinary approach bridges art history, cultural studies, and material culture. The trajectory of her recent publications reveals a deepening engagement with the cultural, historical, and scientific dimensions of tea. While her earlier work focused on Chinese painting theory and connoisseurship, her more recent articles and editorial projects emphasize tea’s role in shaping global material culture, trade, and interdisciplinary scholarship. This evolution reflects her leadership in establishing tea studies as a legitimate academic field. Scientific Awards and Honors: Chancellor’s Award for International Engagement, UC Davis (2021) O-Cha Pioneer Award, World Green Tea Association, Japan (2021) Best Tea Health Advocate, World Tea Expo (2018) Nominee, Best Tea Educator – Individual, World Tea Expo (2019) Nominee, ICAS Book Prize for Dimensions of Originality (2013) George Wittenborn Memorial Book Award (as contributing author, 2017) Burnett is an active mentor and academic leader. She founded and led the Global Tea Initiative (2015–2023), now the Global Tea Institute, and established the Global Tea Studies book series with Brill. She has supervised numerous exhibitions at UC Davis, often featuring tea-related art and material culture. Her work includes significant public outreach and media engagement, demonstrating her commitment to disseminating knowledge beyond academia. She has secured recognition for her innovative integration of research, teaching, and community building around the theme of tea. Labs and Research Initiatives: Founder and Director, Global Tea Institute for the Study of Tea Culture and Science (2023–present) Founder and Director, Global Tea Initiative for the Study of Tea Culture and Science (2015–2023) Founder and Director, Global Tea Institute Collection of Art and Material Culture, UC Davis (2014–present) Faculty Leader, All Things Tea Research Cluster (2012–2015)
Anya Helene Bagge is an Associate Professor in the Department of Informatics at the University of Bergen, where she is a researcher at the Bergen Language Design Laboratory. Her work focuses on programming languages and software language engineering, with strong ties to education and tool development. Research Interests: Programming language design and implementation Software language engineering Semantics of programming languages Domain-specific languages and language extensions Program transformation using Rascal, MPL, and Stratego/XT Aspect-oriented programming, especially Domain-Specific Aspect Languages Her recent publications reflect a consistent focus on software language engineering, refactoring, microservice security, and programming education. Themes across her work include language design, program analysis, and the development of educational tools and methodologies. Scientific Awards: The Realist Committee's Teaching Award 2016/17 Lecturer of the Year in Computer Science (Spring 2015) Anya Bagge actively supervises students, including PhD and Master’s candidates such as Tero Hasu, Kristoffer Haugsbakk, and Nina Andersen. She has been involved in numerous academic activities, including organizing the OOPSLE workshop and serving on program committees for conferences like SLE, HILT, and WCRE. She has also taught core courses including INF101, INF225, and INF328, demonstrating a strong commitment to both research and teaching. Labs and Teams: She is affiliated with the Bergen Language Design Laboratory , collaborating with researchers such as Magne Haveraaen, Eva Burrows, and Tero Hasu.
Luisa Siniscalchi is an Assistant Professor (tenure track) in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), affiliated with the Cybersecurity Engineering Center and the Center for Quantum Technologies. Her research lies at the intersection of cryptography, cybersecurity, and theoretical computer science. Her research interests focus on secure multiparty computation (MPC) , zero-knowledge proofs , non-malleable and deniable protocols , post-quantum cryptography , and cryptographic primitives . She investigates foundational aspects of secure computation under minimal assumptions, aiming to achieve optimal round complexity and strong security guarantees in both synchronous and asynchronous settings. The recent publications highlight a consistent trend in designing efficient, secure, and practical cryptographic protocols, particularly in MPC and deniable authentication. Her work often appears in top-tier venues such as EUROCRYPT, CRYPTO, and TCC, demonstrating strong theoretical rigor and innovation. Key themes include black-box constructions, post-quantum security, and privacy-preserving mechanisms. Scientific Awards: No awards listed in the provided text. Luisa Siniscalchi is actively supervising PhD students in cutting-edge projects related to proactive post-quantum cryptography, long-term security of protocols, and dynamic graph algorithms. She collaborates with principal investigators such as Claudio Orlandi, Ivan Damgård, and Carsten Baum, indicating integration into major research initiatives at DTU. While specific grants are not detailed, her involvement in multi-year PhD projects suggests active grant funding. Labs and Research Groups: Cybersecurity Engineering Center, DTU Center for Quantum Technologies, DTU Active research in cryptographic protocols and algorithms
Benjamin C. Reed is a faculty member in the Department of Computer Science at San José State University, part of the College of Engineering. He holds a Ph.D. in Computer Science, completed under the supervision of Prof. Darrell Long, focusing on secure network disks (SCARED/BRAVE project). His career spans both elite industrial research and academic contributions, with prior roles as a Research Staff Member at IBM Almaden Research Center, researcher at Yahoo! Research, and a technical leader at a startup acquired by Facebook, where he spent five years. His research is centered on secure and scalable storage systems, with emphasis on distributed file systems, network-attached storage, and cybersecurity in data storage. Key areas include quota enforcement, authentication mechanisms, caching algorithms, and secure data sharing in large-scale environments. His work bridges theoretical rigor with practical implementation in high-performance systems. The publications of Benjamin C. Reed, primarily from 1996 to 2007, demonstrate a consistent trajectory in secure and distributed storage technologies. They reflect deep engagement with system-level security, performance optimization, and architectural design of storage solutions. The works span conferences such as FAST, MSST, and IEEE Micro, indicating strong recognition in the systems and storage research community. While no formal awards are listed in the provided text, his affiliations with IBM, Yahoo!, and Facebook underscore a high-impact career in both research and industry. He has collaborated with notable researchers including Darrell D. E. Long, Ethan L. Miller, Randal Burns, and Richard Golding. There is no explicit mention of student advising or grant funding, though his academic role suggests potential involvement in mentoring and research supervision. Benjamin C. Reed has been associated with the SSRC (Storage Systems Research Center) at UC Santa Cruz, a well-known research group in storage systems. Though the site is now archived, his contributions remain part of a significant legacy in storage research. His current work at San José State University likely continues to influence the next generation of computer scientists in systems and security.
Raghav Sampangi is a Senior Instructor in the Faculty of Computer Science at Dalhousie University, where he teaches courses in web development, server-side scripting, and usable security and privacy. He is also a Faculty Associate at the Centre for Learning and Teaching and actively contributes to pedagogical innovation and inclusive academic practices. Education: PhD, Dalhousie University, Canada (2015) M.Tech, University of Mysore, India (2011) B.Engg, VTU, Belgaum, India (2007) Raghav's research focuses on usable security and privacy , context-aware authentication , and innovations in computer science education , particularly compassionate teaching, ungrading, and student support. He is deeply committed to equity, diversity, and inclusion in computing and advocates for mental health and belonging in academia. His recent publications center on security in resource-constrained systems, including IoT, RFID, and wireless body area networks, often using bio-inspired cryptographic techniques. The work demonstrates a strong trend toward lightweight, adaptive, and context-sensitive security solutions. Scientific Awards: The Srini Award for Teaching Excellence (2021, 2018) Best Paper Award at Q2SWinet 2014 Best Paper in General Conference Program at SoftCOM 2014 Dalhousie Impact Leadership Award (2014) Faculty Appreciation Award (2015) Parvathamma Subbaraya Gold Medal (University of Mysore) Raghav advises students through community outreach courses and research projects. He leads multiple educational initiatives, including ungrading research and first-year student support. He is co-lead of the D-LITE Belong Cluster and the Halifax Chapter of Canada Learning Code, and is a Cultural Competence in Computing (3C) Fellow at Duke University. His service includes advocacy with Dragonfly Mental Health and the READI Group, promoting compassionate and inclusive academia. He is actively involved in lab and team-based research on usable security and CS education, collaborating with industry, alumni, and students to revise curricula and develop inclusive learning environments.
Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.
Allison Beemer is an Associate Professor in the Department of Mathematics at the University of Wisconsin-Eau Claire (UWEC), College of Arts and Sciences, and serves as co-academic director for the UW Online Collaboratives' Master's of Science in Data Science program. Her professional mission centers on welcoming diverse students into mathematics through engaging classrooms and ethical research experiences, while balancing academic work with gardening, hiking, and reading. Her educational background includes: Ph.D. in Mathematics from the University of Nebraska - Lincoln M.S. in Mathematics from the University of Nebraska - Lincoln B.A. in Mathematics from Whitman College Dr. Beemer's research spans error-correcting codes , secure communication , and information privacy , with specialization in graph-based coding systems and discrete mathematics applications. She actively develops ethical frameworks for data transmission security while addressing real-world privacy challenges through combinatorial structures. Her recent publications (2024-2025) reveal strong trends in network security and community detection, combining graph theory with communication protocols. Key themes include authentication under adversarial conditions, decentralized learning validation, and indigenous pattern analysis – consistently involving undergraduate collaborators in cutting-edge information theory applications. Scientific awards and grants include: Mathematical Congress of the Americas 2025 AMS Travel Grant ($1240) UWEC Student Faculty Research Grant for 'Fast Algorithms for Computing Map Foldings' (2025) NSF CISE Collaborative Research Award for 'Keyless Authentication' ($300,000 UWEC share) UWEC Student Faculty Research Grant for 'Decoding Indigenous Beaders' (2024) Dr. Beemer maintains an active undergraduate research group with two current students, serving as a Math Alliance mentor while securing competitive grants. Her advising focuses on translating theoretical discrete mathematics into tangible projects like indigenous beadwork analysis and map-folding algorithms, with funding specifically allocated for student stipends. She leads a dedicated error-correcting codes research team at UWEC while collaborating across the University of Wisconsin system through the Online Collaboratives Data Science program, integrating her postdoctoral work in electrical engineering with mathematical foundations from her UNL training.
Gaurav Choudhary is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the College of Engineering and the Cybersecurity Engineering department. His research focuses on emerging threats in digital systems, with a particular emphasis on Malware Detection, Internet of Things (IoT) security, and Machine Learning applications in cybersecurity. His recent work explores intrusion detection in IoT ecosystems, drone identification using RF signals, and the analysis of virtual private networks and proxies. These studies span subfields like Tiny Machine Learning, Scalable Deployment, and Tor Browser forensics, reflecting his interest in both theoretical and applied security challenges. The majority of his publications from 2025 revolve around enhancing cybersecurity frameworks through innovative machine learning techniques, user-centric authentication methods, and forensic investigation tools. Despite his active research contributions, no specific scientific awards or students he has advised are mentioned in the provided data.
Jingjie Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh, where he conducts interdisciplinary research at the intersection of computer systems, cybersecurity, and human-computer interaction. He is a member of the Institute for Computing Systems Architecture and the School of Informatics Ethics Committee. Ph.D. in Computer Engineering, University of Wisconsin-Madison (2017–2023) B.Eng. (R&D) with First-Class Honours, Australian National University (2015–2017) B.Sc., Beijing Institute of Technology (2013–2015) His research focuses on user-centric security and privacy , measuring human behavior in digital systems , and efficient human-machine interfaces . He investigates risks in emerging technologies such as smart homes, AR/VR, and AI systems, aiming to make them safer and more human-centric. His work combines technical innovation with behavioral insights to design practical privacy controls, measure digital risks, and build efficient computing platforms. The recent publications highlight a strong trend in privacy transparency , AI explainability , smart home and AR/VR security , and hardware-software co-design . His work frequently appears in top-tier venues including IEEE S&P, USENIX Security, ACM CHI, and ISCA, reflecting a consistent focus on both technical depth and human factors. Notable scientific awards include: ACM CHI Best Paper Award (2019) Facebook Trustworthy Products in AR, VR, and Smart Devices Award (2021) CPS Rising Star, NSF (2022) Generative AI Laboratory Seedcorn Award, University of Edinburgh (2024) Qualcomm Innovation Fellowship Finalist (2019, 2021) Jingjie Li actively supervises PhD students including Jiuming Jiang and Karen Jiamin Zheng, and co-supervises Lawrence Piao and Temima Hrle. He has received research support through fellowships such as the UW–Madison Chancellor’s Opportunity Fellowship and has collaborated globally with institutions including Max Planck Institute, Visa Research, and CSIRO. He serves on the program committees of major conferences like ACM CCS, USENIX Security, and ACM CHI. He leads a dynamic research team focused on systems security and human-centered computing, hosting undergraduate researchers and mentoring students through projects in privacy, AI transparency, and hardware security. His lab fosters interdisciplinary collaboration and real-world impact through community engagement, such as the 'Hack Your Age' workshop with intergenerational participants.
