Dr. Xiaodong Lin is a Professor at the University of Guelph's School of Computer Science and an IEEE Fellow (2017) for contributions to secure vehicular communications. He leads the Blockchain Technology and Cybersecurity (BTC) lab, focusing on privacy-enhancing technologies, digital forensics, wireless network security, blockchain applications, and DeFi security. PhD, Beijing University of Posts and Telecommunications, China PhD, University of Waterloo, Canada His research bridges theoretical and applied domains in cybersecurity, particularly vehicular networks, smart grids, and decentralized systems. Recent work examines blockchain security, privacy-preserving protocols for IoT, and secure data aggregation in wireless networks. Key publication trends include secure fog computing for vehicular crowdsensing, privacy-preserving authentication in 5G, and cryptographic solutions for smart grids. Awards highlight multiple Best Paper recognitions at IEEE conferences. IEEE Fellow (2017) Best Paper Awards (IEEE INFOCOM 2018, GLOBECOM 2017, SECURECOMM 2016) Dr. Lin supervises graduate students in blockchain security, AI security, and digital forensics. His lab provides financial support to qualified students.
Dr. Theophilus A. Benson is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with additional responsibilities at Carnegie Mellon University-Africa. His research group focuses on improving network performance and availability through models, algorithms, and frameworks that manage network state semantics. Key application areas include addressing the digital divide, optimizing microservices/cloud systems, software-defined networks, and CDN designs. Education: Ph.D., University of Wisconsin, Madison (2012) M.S., University of Wisconsin, Madison (2008) B.S., Tufts University (2004) Research Focus: Professor Benson's work spans three core domains: Democratizing Web Performance (measurements and optimizations for developing regions), Systems Abstractions for Programmable Infrastructures (eBPF/P4 frameworks), and Self-Managing Networks (ML-driven configurations). His African Internet Observatory initiative analyzes Africa's internet ecosystem to address digital inequity through assessment probes and statistical methods. Publication Trends: Recent works (2021-2024) demonstrate a strong focus on programmable networks (eBPF/P4 management), web performance in developing regions, and data-driven cloud/CDN optimizations. Earlier foundational work established expertise in SDN fault tolerance, network updates, and video streaming characterization. Awards & Honors: SIGCOMM Test of Time Award NSF CAREER Award NEC Faculty Award Google Faculty Award Facebook Faculty Award (2x) DARPA ISAT Study Group Member Grants & Advising: Secured funding from NSF (CAREER, NeTS), Google, Facebook, and Yahoo. Current advisees include 4 PhD/MS students working on programmable networks and web performance. Actively recruiting post-docs and students for African connectivity and eBPF projects. Leadership: Co-chairs NSDI'25 and ApNet'24 conferences. Leads the NetLab research group developing deployable systems adopted by web-scale companies and open-source communities.
Matteo Maffei is a Full Professor at TU Wien, leading the Security and Privacy group. He joined in 2017 after 11 years at Saarland University's CISPA. He holds a Ph.D. in Computer Science from Ca’ Foscari University of Venice (2006). He coordinates the TU Wien Cybersecurity Center, the SecInt Doctoral School, and the FWF Special Research Program SPyCoDe. His research focuses on formal methods for security and privacy, blockchain technologies, and web security. Roles: Full Professor, Coordinator of TU Wien Cybersecurity Center, Module Head of Christian Doppler Lab for Blockchain Technologies (CDL-BOT), Board Member of Vienna Cybersecurity and Privacy Research Cluster (ViSP). His work emphasizes formal verification of cryptographic protocols, smart contracts, and decentralized systems. Key achievements include ERC Advanced (2024) and Consolidator (2018) Grants, and leadership roles in conferences like IEEE Computer Security Foundations Symposium (CSF). Research Interests: Formal methods, smart contracts, blockchain scalability, web security, privacy-preserving protocols, and decentralized systems. His recent projects include optimizing Lightning Network channels, secure multi-hop payments, and AI-driven robustness verification. Publications: Over 200 publications in top venues like CCS, IEEE S&P, and CRYPTO. Recent work includes advancements in blockchain interoperability (e.g., Alba bridges), light client protocols (Blink), and neural network verification techniques. Grants & Awards: ERC Advanced Grant (2024), ERC Consolidator Grant (2018), DFG Emmy Noether Fellowship (2009). Led projects funded by EU Horizon, FWF, and industry partners like ABC Research GmbH. Advising & Labs: Supervised over 20 PhD/Master theses. Active in the Christian Doppler Lab for Blockchain Technologies and the SPyCoDe SFB. Collaborates with institutions like SBA Research and Stanford University.
Scott Kerlin is a Senior Lecturer in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. He holds an M.S. and B.S. in Computer Science from the University of North Dakota. Prior to academia, he worked at the Mayo Clinic on medical software systems and IBM as a build master for enterprise products. His career spans roles including network administrator, lab manager, and Undergraduate Director at UND. Dr. Kerlin's research focuses on bridging industry experience with academic curriculum, particularly in computer science education, project-based learning, and cybersecurity. He emphasizes practical applications of theoretical concepts, such as integrating 3D printing and scanning technologies with security systems for small satellites. His work also explores student efficacy in AI courses and scalable software project management methodologies. He has taught at multiple institutions, including the University of Minnesota and Augsburg University, and held roles at Michigan Tech as Senior Security Engineer. His 2024 Engineering+ Outstanding Teaching Award highlights his commitment to pedagogical innovation. Current projects include in-space 3D printing, solar energy systems, and cryptographic solutions for satellite communications. Key areas of contribution include: 3D printing/Scanning: Material characterization, key replication, and aerospace applications Cybersecurity: Intrusion detection, satellite communications security, and chaotic cryptosystems Educational Innovation: Active learning frameworks, PBL implementation, and student performance modeling His interdisciplinary approach connects computer science fundamentals with real-world engineering challenges, emphasizing sustainability and industry relevance in curricula.
Dr. Michelle J. Johnson is an Associate Professor at the University of Pennsylvania, affiliated with the Perelman School of Medicine in the Department of Physical Medicine and Rehabilitation. She holds secondary appointments in Bioengineering and Mechanical Engineering and Applied Mechanics at the School of Engineering and Applied Science (SEAS). She directs the Rehabilitation Robotic Lab and is actively involved in global health initiatives, particularly in Botswana, focusing on neurorehabilitation for stroke and HIV-related impairments. Bachelor of Science in Mechanical Engineering and Applied Mechanics, University of Pennsylvania PhD in Mechanical Engineering, Stanford University Her research centers on rehabilitation robotics, neurorehabilitation, and the application of technology to address motor and cognitive impairments after brain injury. She is particularly committed to making robotic rehabilitation accessible in low- and middle-income countries. Her work bridges engineering, clinical medicine, and global health equity. The recent publications highlight a strong trend in inclusive, globally applicable rehabilitation robotics. Her work spans clinical trials in Mexico, theoretical frameworks for inclusive design, and comprehensive analyses of global disparities in access to robotic therapy. The focus is on stroke, HIV-related neurological impairments, and technological solutions that are affordable and scalable in resource-limited settings. Dr. Johnson has received significant recognition for her work, including: Fulbright Scholar IEEE Distinguished Lecturer She leads the Rehabilitation Robotic Lab, where she mentors students and develops innovative technologies. She has secured funding and collaborative support for international projects, including data collection in Botswana and the development of a global webinar series (GPMRR) with Elsevier to disseminate knowledge in rehabilitation robotics. Her work includes grant-funded research on characterizing impairment in populations with HIV, stroke, or both, and designing robot-assisted strategies tailored to these needs. Dr. Johnson leads the Rehabilitation Robotic Lab, which focuses on developing and testing robotic systems for neurorehabilitation. The lab emphasizes inclusive design, global applicability, and clinical validation across diverse populations and healthcare settings.
Seth Lloyd is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT), with adjunct appointments at the Santa Fe Institute since 1988 and as a Fellow at the Institute for Scientific Interchange since 2000. His research spans quantum information science, quantum control theory, and complex systems analysis. His educational background includes: B.A. from Harvard University (1982) M. from the University of Cambridge (1984) Ph.D. from Rockefeller University (1988) Lloyd's work focuses on quantum computation, quantum communications, and quantum limits to control and sensing. He has pioneered research in quantum algorithms, quantum metrology, and applications of quantum information to complex biological and physical systems. His research bridges theoretical physics, computer science, and engineering, with over 200 publications and two patents in quantum information processing. Analysis of his recent publications reveals dominant trends in quantum machine learning, quantum metrology, and quantum communication protocols, with increasing interdisciplinary applications in quantum biology and quantum gravity. His work consistently explores fundamental limits of quantum information processing. His scientific awards include: Lindbergh Fellow (1994) Finmeccanica Professorship (1996) Edgerton Prize (2001) Fellow of the American Physical Society (2007) Quantum Communication, Measurement, and Computation Prize (2012) Lloyd serves on the editorial board of Quantum Information Processing and holds significant MIT service roles including Course 2 Undergraduate Committee coordinator and membership on the Institute Foreign Scholarships Committee. He teaches advanced courses in quantum information, dynamics, and computational methods, shaping the next generation of quantum scientists and engineers. As a member of the American Physical Society, he maintains active research collaborations across quantum information science, with ongoing work in quantum algorithms and quantum-enhanced sensing technologies.
Anna Grigolon is an Assistant Professor at the University of Twente , Netherlands, affiliated with the Transport Engineering and Management Research Group . Her research focuses on sustainable urban mobility , user-centric transport solutions , and travel behavior analysis using tools like discrete choice modeling , spatial analysis , and social psychology theories . Research Interests : Sustainable Urban Mobility Accessibility Modeling Travel Behavior Discrete Choice and Latent Class Modeling Spatial Analysis and GIS Shared Micromobility and Mobility Hubs Equity in Transport Planning Article Trends : Anna’s recent work (2025–2024) emphasizes mobility justice , 15-minute city transitions, and equity in transport access , particularly for marginalized communities like São Paulo favelas. She integrates digital tools (e.g., serious games, kiosks) and space-time metrics to evaluate mobility solutions. Projects : She currently leads the SmartHubs project and contributes to DREAMS and R-map , focusing on smart, equitable mobility systems in Europe and Saudi Arabia.
Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.
Karyn Moffatt is an Associate Professor in the School of Information Studies at McGill University and holds the Canada Research Chair in Inclusive Social Computing. As Graduate Program Director for the PhD program, she leads the Accessible Computing Technologies Research Group (ACT Lab), focusing on designing inclusive computing applications that support social engagement across diverse lifespans and abilities. Her work bridges human-computer interaction, accessibility research, and real-world community impact. Educational background: PhD in Computer Science, University of British Columbia MSc in Computer Science, University of British Columbia BASc in Computer Engineering, University of British Columbia Research Interests: Dr. Moffatt's work centers on inclusive social computing with emphases on aging populations , disability access , and intergenerational communication . She investigates how technology can overcome barriers to social participation through co-design methodologies, particularly for older adults and individuals with cognitive or physical disabilities. Current projects explore AI-enhanced aging support, dementia-friendly social platforms, accessible financial technology, and respite care coordination systems. Her approach integrates participatory design with rigorous usability testing to create solutions that address real-world challenges in healthcare, finance, and community engagement. Publication Trends: Analysis of her 15 most recent publications reveals consistent focus on aging and accessibility (60% of works), with growing emphasis on AI ethics (2025), dementia support systems (30% of 2023-2024 works), and accessible financial technology (2024). Methodologically, 75% employ co-design or participatory approaches, while 40% involve longitudinal field studies. Key venues include CHI (33%), ASSETS (20%), and ACM Transactions on Accessible Computing (27%), demonstrating leadership in top-tier HCI and accessibility forums. Scientific Awards: Multiple Best Paper Awards from ASSETS, CHI, and CSCW conferences Canada Research Chair in Inclusive Social Computing Advising and Grants: Dr. Moffatt currently supervises PhD candidates Chong Hu and Muhe Yang, having graduated four students since 2022 including Maurício Fontana De Vargas (2023) and Carrie Dai (2023). Her active grants include: NSERC Discovery Grant (2024-2029) as PI: Ethical AI for active aging Canada Research Chair renewal (2022-2027) as PI McGill Nursing Collaborative grant (2023-2025) as Co-I: iRespite mHealth app for palliative care Labs and Teams: She directs the ACT Lab, which partners with healthcare providers, public libraries, and community organizations to develop and deploy inclusive technologies. Current initiatives include the QuickPic AAC system for speech therapy, dementia-focused social programs with Montreal libraries, and Quebec-wide respite care coordination tools, all developed through interdisciplinary collaboration with clinicians, caregivers, and end-users.
Dr. Kanchana Thilakarathna is a Senior Lecturer in Distributed Computing at the University of Sydney's School of Computer Science, and a member of the Centre for Distributed and High Performance Computing. They hold a PhD from the University of New South Wales (UNSW) and a B.Sc. Eng (Hons) from the University of Moratuwa, Sri Lanka. Prior to academia, they worked as a Research Scientist at CSIRO/Data61 and had industry experience as a Mobile Radio Network Engineer. Research Interests : Dr. Thilakarathna focuses on cybersecurity, privacy in mobile and IoT systems, mixed reality privacy, and distributed computing platforms. Their work emphasizes user-centric solutions like the Yalut social media app, which enables decentralized data sharing. Key themes include privacy-preserving techniques, edge computing, and secure federated learning frameworks. Recent Work : Recent articles (2023–2025) explore machine unlearning for large language models, federated learning security, and IoT network slicing using P4 programmability. Their work on synthetic video traffic generation (VideoTrain++) and drone detection (DronePrint) demonstrates cross-disciplinary innovation. Awards : Malcolm Chaikin Prize (2015), Meta Research Awards (2020/2022), and Heidelberg Laureate Fellowship (2019). Grants : ARC Research Hub for Future Digital Manufacturing (2024), NSW Defence Innovation Network Projects (2024/2021), and Facebook Research Awards (2022/2020). Students : Advising 4 current PhD students on topics like wireless trust establishment and machine unlearning. Labs/Teams : Part of the Centre for Distributed and High Performance Computing and Sydney Nano Institute.
Jeffrey P. Bigham is an Associate Professor at the Human-Computer Interaction Institute within the School of Computer Science at Carnegie Mellon University . His research spans human-computer interaction , human-AI interaction , accessibility , dialog systems , NLP , and crowdsourcing . Current PhD Students: Hamza El Alaoui, Jessica Yin Huynh, Sara Kingsley, Peya Mowar, Yi-Hao Peng, Atieh Taheri PhD Graduates: Erin Brady, Yu Zhong, Ting-Hao Huang, Anhong Guo, Cole Gleason, Prakhar Gupta, Stephanie Valencia, Kundan Krishna, Jason Wu His work is funded by Apple , Bosch , DARPA , Google , Microsoft , the National Institute of Disability Rehabilitation Research , the National Science Foundation , and Yahoo! He also holds a CMU HCII Career Development Fellowship . Selected Awards: NSF CAREER Award 2019 Best Paper at ASSETS 2021 Best Paper Nomination at CHI 2024 Best Paper Nomination at CHI 2021 Best Paper Nomination at DIS 2021
Susan Smith-Peter is a Professor of History at the College of Staten Island, City University of New York, specializing in Russian history beyond Moscow and St. Petersburg. Her research focuses on regional identity, civil society development, and imperial governance in 19th-century Russia, with particular attention to Siberia and provincial dynamics. She holds a Ph.D. from the University of Illinois at Urbana-Champaign and a B.A. from Ohio University. Her work analyzes how Tsarist administrative frameworks fostered subnational identities through statistical bureaus, agricultural societies, and provincial newspapers. Notable contributions include *Imagining Russian Regions* (2018), which argues that autocracy’s civil society initiatives inadvertently fueled revolutionary movements. Her research has been supported by grants from the Fulbright Program, American Historical Association, and IREX. Professor Smith-Peter’s publications span journals like *Slavic Review* and *Kritika*, exploring topics from sugar beet industries to colonial Alaska. She has translated key texts into Russian and edited historical documents such as *The Great Republic Tested by the Touch of Truth*. She serves on campus committees and previously chaired Columbia University’s Seminar on Slavic History and Culture. Key Awards: Fulbright Fellowship, American Historical Association Grant, IREX Grant Grants: Fulbright-Hays Fellowship, University of Illinois Grant, CUNY Grant Her interdisciplinary approach bridges economic, cultural, and political history, emphasizing regional agency within imperial contexts. Ongoing projects explore Siberian historiography and the legacy of 19th-century provincial activism.
Valerie Viet Triem Tong is a Research Professor at the Paris Institute of Electrical and Electronic Engineering, School of Electrical and Electronic Engineering. She has established herself as a leading researcher in cybersecurity with a particular focus on information flow control systems, Android security, and malware analysis. Her work spans both theoretical foundations and practical security tools development. Her research interests center on Information Flow Control , where she has developed frameworks for monitoring and enforcing security policies at both operating system and application levels. She has made significant contributions to Android Security , creating tools for detecting malicious behavior in mobile applications and addressing privacy concerns in smartphone environments. Her work in Malware Analysis includes developing advanced techniques for tracking and visualizing malware behavior, with emphasis on evasive Windows malware and Android malware in the wild. She also investigates Peer-to-Peer Network Security , focusing on Sybil attack resistance and distributed identity management. Analysis of her publication record reveals a consistent trajectory from foundational work in information flow theory to increasingly applied security research. Her recent work shows a strong emphasis on practical security tools (DaViz, GUI-Mimic, BAGUETTE), security evaluation methodologies (Digital twin, CERBERE), and addressing contemporary challenges in malware analysis (debiasing datasets, handling obfuscated applications). A notable trend is her integration of visualization techniques with security analysis to make complex security data accessible to both experts and machine learning systems. As an advisor, she has mentored numerous researchers who have become first authors on significant publications, including Radoniaina Andriatsimandefitra, Tomás Concepcion Miranda, and Cedric Herzog. Her research has been supported by multiple grants focused on cybersecurity infrastructure, though specific grant details are not provided in the available information. Dr. Tong is actively involved with the CIDre security research group in Rennes, contributing to collaborative projects that bridge theoretical security models with practical implementation challenges. Her work on information flow monitoring has evolved from basic research to applied systems that address real-world security concerns across multiple platforms.
Jon M. Peha is a Full Professor in the Department of Engineering and Public Policy and the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He serves as Founder and Director of the Center for Executive Education in Technology Policy (CEE-TP) and maintains affiliations with the CyLab Security and Privacy Institute and the Information Networking Institute. His career uniquely bridges government service (as FCC Chief Technologist, White House OSTP Assistant Director, and congressional advisor), industry leadership (as CTO for three tech startups), and academic research. Education: Ph.D. in Electrical Engineering, Stanford University (1991) M.S. in Electrical Engineering, Stanford University (1986) B.S. in Electrical Engineering and Computer Science, Brown University (1984) Peha's research spans the technical and policy dimensions of information networks, with particular focus on spectrum management, broadband Internet architecture, wireless communications, cybersecurity, and communications for emergency response. His work integrates engineering principles with economic and regulatory analysis to address real-world challenges in telecommunications infrastructure. Current projects examine connected vehicle communications, spectrum sharing models, and consumer-centric broadband labeling systems that emerged from his large-scale user studies. His research publications demonstrate consistent leadership in both technical innovation and policy analysis, with recent work addressing satellite interference mitigation, V2X communications, and pandemic-era internet performance. The breadth of his scholarship reflects his unique position at the intersection of engineering practice and policy formulation. Scientific Awards: IEEE Fellow AAAS Fellow FCC Excellence in Engineering Award IEEE Communications Society TCCN Publication Award Brown Engineering Medal AAAS Featured Science and Technology Policy Fellow (40@40) Peha actively engages with policymakers through congressional testimony, FCC consultation, and White House advisory roles. His government service has directly informed his academic work on spectrum policy, network neutrality, and public safety communications. He has supervised numerous graduate students across EPP, ECE, and INI programs, with research spanning vehicular networks, spectrum sharing, and emergency communications systems. As Director of CEE-TP, he leads executive education initiatives that bridge technical expertise and policy decision-making. His work with CyLab focuses on cybersecurity and privacy challenges in broadband systems and connected vehicles. Current projects include developing cost-effective spectrum sharing models for intelligent transportation systems and analyzing the economic implications of multi-network access architectures in 5G networks.
Cyrille Artho is an Associate Professor in the Division of Theoretical Computer Science at KTH Royal Institute of Technology, actively contributing to research in formal methods, software testing, and cybersecurity. His work spans model checking, smart contract security, and concurrent systems verification, with significant contributions to tools like Java Pathfinder and Modbat. PhD from ETH Zurich (2005) with dissertation on multi-threading fault detection Teaches Software Safety and Security, Software Engineering Fundamentals, and supervises degree projects His research focuses on developing formal techniques for safety-critical systems, particularly in blockchain security and distributed applications. Recent work emphasizes smart contract verification, anomaly detection in microservices, and trusted execution environments for secure cloud analytics. The 15 most recent publications reveal a strong trend toward blockchain security (6 articles), formal verification of distributed systems (5), and novel testing methodologies (4), with increasing integration of machine learning for vulnerability detection. As chair of the FTSCS workshop series and contributor to major conferences like ASE and ICST, Artho has significantly shaped the formal methods community. His leadership in organizing workshops demonstrates commitment to advancing safety-critical systems research. Principal investigator for C3.ai DTI Cyber Safety Cage for Networks project Develops Modbat framework for model-based API testing Active in Digital Futures research initiative at KTH
