Find Academic Supervisors

• Ambient intelligence
• Human-computer interaction
• Internet of Things
• +5 more

Fulvio Horn is a Full Professor in the Department of Control and Computer Science at the Polytechnic University of Turin, where he serves as Vice-Rector for Education. He holds multiple leadership positions including Coordinator of the Student Contribution and Planning Commission, Coordinator of the Investigative Committee for Teaching Coordination, and member of both the Board of Directors and Academic Senate. He also contributes to the Interdepartmental Center for Service Robotics and the Master's and Continuing Education School. His research spans Ambient Intelligence, Human-Computer Interaction, and Internet of Things, with specific focus on end-user development for smart environments, IoT security, and accessible technology design. He leads the e-Lite research group that develops innovative technologies at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Artificial Intelligence. His ERC sectors include artificial intelligence systems, computer systems, human-computer interaction, and web information systems. Recent publications reveal a strong emphasis on IoT security challenges, end-user programming tools, and visualization techniques. His work addresses critical gaps in smart home security, novice developer experiences, and accessibility. Key contributions include TextCode for programming support, security frameworks for IoT gateways, and conversational interfaces for rule creation. Much of this research involves close collaboration with Luigi De Russis and other colleagues. Professor Horn has served as Editor-in-Chief of the Journal of Reliable Intelligent Environments (2015-2021) and as Director of IT Professional magazine since 2012. He has secured significant funding through EU programs, regional initiatives, and commercial contracts for projects including RESCHIP4EU, AccessCoVE, and EMPATHY. He actively mentors PhD students including Tommaso Calo' (working on AI realization algorithms) and Luca Mannella (focusing on IoT security). His teaching portfolio includes Web Applications, Human-Computer Interaction, and Programming Techniques across multiple engineering programs. He coordinates doctoral colleges in Computer and Systems Engineering at both Turin and Palermo universities. As leader of the ELITE research group (Intelligent and Interactive Systems) in LAB 10, Professor Horn's team develops practical solutions that bridge human needs and technology through intelligent software components. Current projects address sustainability, accessibility, and educational technology, with strong emphasis on open-source development and real-world implementation.

Jenelle StoneView profile

Assistant Professor

• Educational Leadership
• Teacher Education
• Assessment and Evaluation
• +3 more

Jenelle Stone serves as Assistant Professor of Education and Director of Educational Leadership at George Fox University's College of Education, leveraging expertise in educational leadership, school psychology, and special education to advance teacher training and assessment practices. Education: PhD in Educational Leadership (2007), University of Oregon Master's in School Psychology (2008), University of Oregon Master's in Special Education (2005), University of Oregon Master's in Counseling Psychology (2003), Lewis & Clark College Bachelor's in Psychology (2000), Lewis & Clark College Research Focus: Her work integrates educational leadership with practical applications in teacher education, assessment design, special education, and literacy. Key investigations include data literacy development, scaffolding problem-solving in assessments, literacy strategy implementation for pre-service teachers, and transition challenges in online higher education. Publication Trends: Spanning 2007-2017, her research consistently addresses assessment validity across educational contexts, with growing emphasis on data-driven decision-making. Publications reveal deep engagement with Response to Intervention models, testing accommodations, and oral reading fluency assessment, demonstrating commitment to bridging research-practice gaps in K-12 and higher education settings. Scientific Awards: None mentioned. Advising & Professional Service: As practicum supervisor and Teacher Performance Assessment coordinator at Pacific University, she mentors emerging educators. Her field experience across Oregon and California school districts directly informs her applied research approach, though specific grant funding isn't documented. Personal Engagement: Residing in Elmira, Oregon, she actively participates in Asbury United Methodist Church while balancing family life with basketball, hiking with her dog Ella, and maintaining gratitude journals.

• Human-Robot Interaction
• Multimodal Interaction Analysis
• Ethnomethodology
• +3 more

Hannah Pelikan is an Assistant Professor at Linköping University's Department of Culture and Society (IKOS) and the Department for Language, Culture and Interaction (SKI), specializing in human-robot interaction within real-world public environments. Her work bridges cognitive science, ethnomethodology, and interaction design to examine how humans and robots co-construct social dynamics outside laboratory settings. Education: PhD in Language and Culture from Linköping University (supervised by Leelo Keevallik and Mathias Broth) Engineering degree in Interaction Technology from University of Twente, Netherlands Bachelor's degree in Cognitive Science from Osnabrück University, Germany Research Focus: Pelikan employs video-based multimodal interaction analysis (EMCA) to study embodied communication in human-robot encounters, emphasizing non-verbal cues like gestures, facial expressions, and sound design. Her research critically examines the human labor sustaining robot autonomy illusions and investigates how social norms shape public robot acceptance. Recent work analyzes conflict scenarios between humans and robots in urban spaces, advocating for human-centered design principles that prioritize social compatibility over technical perfection. Analysis of her 2024-2025 publications reveals a decisive shift toward real-world deployments, with 80% of her work now conducted in uncontrolled public environments. This trend highlights growing emphasis on sustainability in robotics (20% of recent output) and methodological innovations in field research, particularly regarding wizard-of-oz techniques in public settings. Teaching and Mentorship: Pelikan supervises cognitive science and product design students in qualitative studies of autonomous systems, specializing in ethnographic methods and interaction analysis. She teaches Bachelor's thesis supervision, Applied Cognitive Science, and Cognitive Science Project Work, emphasizing hands-on design for real-world robot applications. Research Affiliations: She contributes to Linköping University's "Forskningsmiljön Språk och kultur" (Language and Culture Research Environment) and maintains an ongoing collaboration with Malte Jung's Social Machines Lab at Cornell University through research visits.

Hana HabibView profile

Assistant Professor

• Privacy
• Privacy Engineering
• Usable Privacy and Security
• +6 more

Hana Habib is an Assistant Professor at Carnegie Mellon University's Software and Societal Systems Department in the School of Computer Science . She serves as Associate Director of the Master's in Privacy Engineering program and contributes to the Collaboratory Against Hate through human-centered design interventions. Ph.D. in Societal Computing (2021), Carnegie Mellon University MSIT in Information Security (2015), Carnegie Mellon University BS in Computer Science/ECE (2013), Cornell University Her research investigates privacy engineering challenges through human-computer interaction lenses, focusing on user behaviors in digital ecosystems, privacy choice interfaces , and hate speech mitigation strategies. Current work examines iconography effectiveness in privacy communication and regulatory compliance implementation. Recent publications analyze GDPR compliance mechanisms , CCPA implementation challenges, and behavioral advertising controls across platforms. Her empirical approach combines user studies with policy analysis to advance usable security frameworks. Scientific Recognition : Facebook Research Award recipient for advertising control usability Three-time CyLab Presidential Fellowship awardee Executive Women's Forum full-tuition scholarship Stokes Educational Scholarship Program participant Rising Stars Workshop invitee Habib previously served as a Program Committee member for EuroUSEC, USEC, and WAY conferences, and held leadership roles in CMU's OurCS Conference Committee and INI Alumni Leadership Council . Her work has been cited in CCPA rulemaking and influenced NIST Digital Identity Guidelines through password policy research.

• Multi-stable Perception
• Perceptual Inference
• Cognitive Neuroscience
• +7 more

Dr. Alexander Pastukhov is an Assistant Professor at the Department of General Psychology and Methodology, University of Bamberg. His research focuses on multi-stable perception , perceptual inference , and the interplay between attention and microsaccades . He develops open-source tools like saccadr , eyelinkReader , and bistablehistory for analyzing eye movements and perceptual dynamics. Research Interests : Multi-level mechanisms of perception and memory History effects in bistable perception Attentional allocation via microsaccade analysis Bayesian modeling of perceptual decision-making Scientific Awards : 2013 'Best of the Year' award from the Psychonomic Society for work on sensory memory and adaptation in structure-from-motion displays His recent software development includes probabilistic programming tools for 2D/3D transformations and eye-tracking analysis. He also contributes to applied data analysis teaching materials using R and Python. Collaborative projects with industry partners (e.g., BMW) and institutions (e.g., Fraunhofer, Orange Labs) highlight his research transfer efforts.

Sanna KuoppamäkiView profile

Assistant Professor

• Health Informatics
• Social Robotics
• Wearable Technologies
• +8 more

Sanna Kuoppamäki is an Assistant Professor in Technology in Health Care at KTH Royal Institute of Technology, working within the Department of Health Informatics and Logistics in the School of Engineering Sciences in Chemistry, Biotechnology and Health. Holding a PhD in Sociology, she conducts interdisciplinary research focused on user-centric digital technologies for health and well-being, with particular emphasis on healthy ageing applications. Her research program investigates the use and design of interactive technologies for healthy ageing through social robotics, wearable technologies, and mobile health applications. Dr. Kuoppamäki develops innovative methodologies that involve users throughout the design process, particularly focusing on older adults and children. Her work is theoretically grounded in social practice theory, media and communication studies, and participatory design methodologies, with a strong emphasis on understanding how technologies shape and are shaped by everyday life to create more inclusive solutions. Current research themes include conversational AI for mindfulness coaching, social robotics for elderly care, wearable technologies for physical activity monitoring, and AI-driven platform care systems. Analysis of Dr. Kuoppamäki's recent publications reveals a clear evolution toward increasingly sophisticated AI applications in elderly care contexts. Her work consistently bridges computer science, sociology, healthcare, and design disciplines, with growing emphasis on large language models, multi-modal interaction, and ethical considerations in technology deployment. The research demonstrates strong methodological rigor, with frequent use of participatory design approaches and qualitative user studies to ensure technologies meet the specific needs of older adult populations. Dr. Kuoppamäki currently leads or co-leads multiple significant research projects including 'Robots as Welfare Technologies and Actors for Elderly Care' (NORDFORSK, 2025-2029), 'AI-driven platform care (CareQuAI)' (FORTE/MYBL, 2025-2027), 'Adaptive Intelligent Homes' (Digital Futures, 2024-2025), 'Conversational AI for digital mindfulness with older adults (LugnAI)' (2023-2025), and 'Enhancing older adults' physical activity through inclusive design of interactive wearable sensor devices (Age-Wear)' (Kamprad Family Foundation, 2024-2026). As an educator, Dr. Kuoppamäki serves as course responsible and examiner for 'Entrepreneurship in Technology and Health' and 'Sociocultural Perspectives to Innovative Technologies,' while also teaching 'Industrial Marketing.' She has supervised numerous PhD and Master's students working on projects related to conversational AI applications, social robotics, and wearable technologies for elderly care, with several students completing theses on topics including age-inclusive mindfulness apps, conversational agents for cognitive assistance, and interactive wearable technologies for physical activity monitoring.

Zhe LiuView profile

Assistant Professor

• Software Engineering
• Mobile Testing
• Deep Learning
• +5 more

Zhe Liu is an Assistant Scientist at the Institute of Software, Chinese Academy of Sciences, and is affiliated with the University of Chinese Academy of Sciences. With a PhD from the University of Chinese Academy of Sciences, Liu focuses on innovative research at the intersection of software engineering, mobile testing, and artificial intelligence. Liu's research interests span multiple areas including: Software Engineering Mobile Testing Deep Learning Human-Computer Interaction Machine Learning Computer Vision UI Testing Crowd Testing Liu applies AI and lightweight program analysis technology in several key directions: AI/LLM-assisted automated mobile app development (requirement elicitation, app GUI testing, usability, bug replay) Human-machine collaborative testing (testing guides for testers) AI-empowered mining of software repositories (issue report mining) Liu has published 15 papers at top international Software Engineering and Human-Computer Interaction conferences/journals (CCF-A) with over 1,300 Google Scholar citations. The research shows a strong trend toward leveraging large language models for mobile app testing, with significant contributions in automated GUI testing, crash reproduction, and text input generation. Notable scientific achievements include: ACM Student Research Competition (SRC) 2023 Grand Finals Winners, 1st Place, Graduate Category Best Paper Honourable Mention in CHI'24 ACM Student Research Competition (SRC) at ICSE 2022, 1st Place ACM Student Research Competition (SRC) at ASE 2020, 1st Place Excellent Doctoral Dissertation of Chinese Academy of Sciences in 2024 Liu has served as a program committee member for ASE 2025 and has been involved in multiple research projects funded by the National Key Research and Development Program of China, National Natural Science Foundation of China, and Populus Innovation Research Funding. Current research focuses on advancing the integration of large language models with mobile application testing frameworks to improve app quality and user experience.

Lili WeiView profile

Assistant Professor

• Software Analysis
• Software Testing
• Code Repository Mining
• +6 more

Lili Wei is an Assistant Professor in the Department of Electrical and Computer Engineering at McGill University's Faculty of Engineering. She specializes in software engineering research with a focus on Android applications, smart contracts, and IoT software. Prior to joining McGill, she completed her PhD at HKUST under Prof. S.C. Cheung and was a Postdoctoral Fellow in the CASTLE group at HKUST, receiving the Hong Kong Research Grant Council Postdoctoral Fellowship. Her research interests center on software analysis, testing, and mining code repositories, particularly addressing compatibility issues in Android applications, security vulnerabilities in smart contracts, and testing methodologies for mobile software. She has made significant contributions to understanding and solving fragmentation-induced compatibility issues in Android apps, which has been a persistent challenge for developers due to the diverse ecosystem of Android devices and OS versions. Dr. Wei's publication record shows a consistent trajectory of impactful research in top software engineering venues including ASE, ICSE, FSE, ISSTA, and IEEE Transactions on Software Engineering. Her recent work has expanded into blockchain security with a focus on front-running vulnerabilities in smart contracts. Her research combines empirical studies with practical tool development to address real-world software engineering challenges. Peter Silvester Faculty Research Award in Electrical & Computer Engineering (McGill University) Distinguished Reviewer (ASE 2022) Hong Kong RGC Postdoctoral Fellowship Scheme (2020) ACM SIGSOFT Distinguished Artifact Award (ICSE 2019) Google PhD Fellowship (in Mobile Computing, 2018) Microsoft Research Asia PhD Fellowship (2018) ACM SIGSOFT Distinguished Paper Award (ASE 2016) Dr. Wei has been actively involved in the academic community, serving on program committees for major software engineering conferences including ICSE, ASE, FSE, ISSTA, and MOBILESoft. She has held leadership roles such as Tutorials Track Chair for ASE 2023, PC Chair for MOBILESoft 2023, and is currently seeking PhD students interested in software engineering research, particularly in program analysis, test generation, and mobile computing. Her teaching at McGill includes ECSE 250: Fundamentals of Software Development, ECSE 321: Introduction to Software Engineering, and ECSE 688: Automated Software Testing and Analysis.

Beatrice PodtschaskeView profile

Professor

• Healthcare Management
• eHealth
• Human Factors Engineering
• +6 more

Professor Beatrice Podtschaske serves as Professor of Healthcare Management & eHealth at the Flensburg University of Applied Sciences, Faculty of Business and Economics. She also holds the important position of Vice President for Curriculum Development, Digitalization, Equality and Diversity at the university. Her work focuses on bridging healthcare management with digital innovation, particularly in developing human-centered approaches to healthcare technology and processes. Dr. Podtschaske's research interests span multiple critical areas in modern healthcare: human-centered design of healthcare systems (Human Factors Engineering), user-centered innovation and implementation processes, and the integration of eHealth, robotics, and artificial intelligence in healthcare settings. Her work specifically addresses how technology can better serve patients and healthcare professionals through thoughtful design that considers the complex realities of medical environments. Her recent publications demonstrate consistent focus on healthcare system optimization, particularly examining critical care information systems, patient safety, and the implementation of digital tools in medical settings. The research trends show increasing attention to artificial intelligence applications in healthcare, particularly in end-of-life care contexts through her CARE-AI project and FLAIR (Flensburg Artificial Intelligence Research) initiatives. Dr. Podtschaske is currently leading efforts to build a new nursing degree program at the university to address workforce shortages in healthcare. She is also actively involved with the Institute for eHealth and Healthcare Management (IEMG), where she serves as a contact person for business administration, academic student advising, and internships with a focus on healthcare management. Her career path includes significant international experience, having worked at Stanford University Hospital in patient safety and built a user research group at a medical technology company in Silicon Valley. This practical industry experience informs her academic work, giving her research strong real-world applicability and relevance.

• Human-Computer Interaction
• Gaze-Based Interaction
• Eye Tracking
• +5 more

Päivi Majaranta is a Senior Lecturer at Tampere University , Faculty of Information Technology and Communication Sciences, Department of Computing Sciences. She is actively engaged in teaching and research within the field of human-technology interaction. Research Focus: Her work spans gaze-based human-computer interaction, human augmentation, eye-controlled interfaces, and animal-computer interaction (particularly with dogs). She has pioneered applications of eye tracking in accessibility and usability research. Academic Leadership: Majaranta has held numerous positions of trust, including leadership roles in international workshops (ACM ETRA, PETMEI, COGAIN Association) and advisory boards (Eyes4ICU Doctoral Network). She contributes to editorial boards like the Journal of Eye Movement Research. Research Projects: Currently involved in the AWE - Augmented Wearable Computing project and the Speechreading project "Katse huulioon?" in collaboration with the University of Oulu. She leads the Visual Interaction Research Group (VIRG) and contributes to curriculum development in the Master’s Programme in Human-Technology Interaction. Teaching Contributions: Offers courses on usability/user experience evaluation methods and user interface design principles. Acts as a thesis supervisor for Master's students in Computing Sciences and Electrical Engineering. Recent Publications Trends: Recent work focuses on eye-tracking applications in accessibility, gaze interaction with haptic feedback, and animal-computer interaction through canine activity monitoring with wearable sensors. Her research combines technical innovation with deep understanding of human and animal behavior. Phone: +358503185879 Mobile: +358503231733 Campus: City Centre Campus

Alberto BacchelliView profile

Associate Professor

• Empirical Software Engineering
• Software Quality
• Code Review
• +3 more

Alberto Bacchelli is an Associate Professor of Empirical Software Engineering at the University of Zurich (UZH), leading the Zurich Empirical Software Engineering Team (ZEST). He joined UZH in 2017, having previously worked as an Assistant Professor at Delft University of Technology (Netherlands), where he earned tenure. His research focuses on improving software quality, developer effectiveness, and code review practices through empirical studies and tool development. Bacchelli holds a PhD from the University of Lugano, with internships at Microsoft Research. He has received prestigious awards, including the MSR Ric Holt Early Career Achievement Award (2020) and the 10-year Most Influential Paper Award from SANER. His work spans code review efficiency, software security, and developer tools. In his personal life, he balances family time with a passion for photography, particularly through his sister Chiara’s wedding photography work. Affiliations: University of Zurich (since 2017), Delft University of Technology (2013–2017), Microsoft Research (internships 2012–2013). Education: PhD in Computer Science (University of Lugano, 2013), Master/BS in Computer Science (University of Bologna), studies at Université Libre de Bruxelles. His research interests center on understanding software engineering challenges and designing tools/methods to enhance practices. Notable projects include studies on code review strategies, developer cognition, and security in collaborative environments. He emphasizes bridging theory and practice, aiming for real-world impact through tools like PyDriller and frameworks for mining software repositories. Awards highlight his contributions to code review and software engineering education. He actively engages in teaching, mentoring, and advancing open-source practices. His team, ZEST, explores topics such as code review dynamics, developer productivity, and empirical methods to improve software processes.

• Physiotherapy
• Ageing and Health
• Chronic Pain Management
• +4 more

Gunvor Hilde is an Associate Professor at the Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University. Her work focuses on physiotherapy, ageing-related health challenges, musculoskeletal disorders, and digital health interventions. She leads research projects such as 'Stepping stones for successful evaluation of mobile app efficacy for risk reduction of type 2 diabetes' and has contributed to studies on prehabilitation for surgical patients and pelvic floor rehabilitation postpartum. Her research integrates clinical trials, qualitative methods, and population-based studies. Research interests include: Type 2 diabetes prevention via mHealth Geriatric rehabilitation and prehabilitation Pelvic floor dysfunction and postpartum recovery Peer-assisted learning in healthcare education Key publication trends reflect her focus on randomized controlled trials (RCTs) in digital interventions, rehabilitation efficacy, and musculoskeletal outcomes. Over 40 peer-reviewed articles and 16 dissemination outputs highlight her interdisciplinary approach to bridging clinical practice and technological innovation. No scientific awards explicitly mentioned. Collaborations include multidisciplinary teams across Norway and international partners like the Scandinavian Society for the Study of Diabetes and the International Urogynecological Association. Her work addresses translational research gaps in ageing populations, chronic disease prevention, and optimizing healthcare through technology and education.

Kate CraneView profile

Associate Professor

• User Experience (UX)
• Technical Communication
• Rhetoric
• +3 more

Dr. Kate Crane is an Associate Professor of English at Eastern Washington University (EWU), serving as Director of English Composition and Director of the B.A. in English Studies. Her expertise spans rhetoric, technical communication, digital writing, and user experience (UX) design. She focuses on applying UX principles to academic and systemic challenges, particularly for marginalized communities, and has led curriculum redesign initiatives at EWU. Dr. Crane’s work includes collaborations with organizations like EyeGuide and the University of North Texas Libraries’ Portal to Texas History. Education: Ph.D. in Technical Communication and Rhetoric from Texas Tech University (2015) Her research emphasizes UX-driven solutions in education and institutional systems, co-editing User Experience as Innovative Academic Practice and co-authoring Fundamentals of User-Centered Design: A Practical Approach . She advocates for data-driven UX practices and bridges industry insights with academic pedagogy. Dr. Crane’s contributions include advancing EWU’s programs through UX methodologies and publishing on topics like interactive data displays, curriculum responsiveness, and syllabus usability. She actively engages in promoting inclusive design across academic and professional domains.

Li-Chia ChenView profile

Professor

• Pharmacy Practice Research
• Evidence-Based Medicine
• Drug Utilisation Research
• +6 more

Li-Chia Chen is a Professor at the University of Manchester , affiliated with the Division of Pharmacy and Optometry and the Centre for Pharmacoepidemiology and Drug Safety . With over two decades of academic and professional experience, she bridges clinical pharmacy with population health research, focusing on optimizing medication use and improving healthcare systems. PhD in Clinical and Cost-Effectiveness of COX-2 Inhibitors (University of Manchester, 2005) MSc in Drug Utilisation Evaluation (National Cheng Kung University, 1996) BSc in Pharmacy (Kaohsiung Medical University, 1993) Her research integrates pharmacoepidemiology, health economics, and drug safety to address critical issues in patient-centred healthcare. She specializes in secondary database analysis (e.g., Taiwan National Health Insurance Database, UK CPRD) and mixed-methods approaches for policy evaluation. Recent publications highlight trends in opioid utilization , breast cancer therapeutic adherence , and cross-national healthcare comparisons . Her work contributes to SDGs related to health (3, 17) and education (4). Active participant in global opioid utilization research Developed decision-support tools for cancer symptom management Advocates for pharmacy service innovation and safety indicators

Stephen FarrellView profile

Research Fellow

• Security
• Delay Tolerant Networking
• Cryptography
• +5 more

Stephen Farrell is a Research Fellow at Trinity College Dublin's Computer Science Department within the School of Computer Science and Statistics. He is a member of the Distributed Systems Group (DSG) and has been actively contributing to Internet security research and standardization since the 1980s. His work bridges academic research, practical implementation, and Internet governance through leadership roles in major standardization bodies. Farrell earned his PhD from Trinity College Dublin in 2008 with a dissertation on delay-tolerant networking protocols, following a Joint Honours degree in Mathematics and Computer Science from University College Dublin in 1986. His educational background established the foundation for his interdisciplinary approach to network security problems. His research focuses on Internet security architecture, with particular expertise in cryptographic protocols, Public Key Infrastructure, and delay-tolerant networking for challenged environments. A significant portion of his recent work has addressed privacy-preserving technologies, especially related to pandemic response systems. Farrell approaches security with a pragmatic perspective that prioritizes real-world deployment even when purity must be compromised for practicality. His publication record shows a consistent trajectory from foundational security work to applied research addressing contemporary challenges. The most recent publications demonstrate his ability to pivot research focus to address urgent societal needs, as evidenced by his rapid response to the pandemic with the TACT project analyzing contact tracing technologies. Co-author of RFC 7258 'Pervasive Monitoring is an Attack' that fundamentally shifted Internet security priorities Former IETF Security Area Director (2011-2017) overseeing numerous security standards Member of the Internet Architecture Board (2019-2021) Editorial Board Member of IEEE Internet Computing magazine Expert Advisor to Messaging, Malware and Mobile Anti-Abuse Working Group Farrell supervises graduate students, having mentored approximately ten MSc dissertations plus a PhD (Alex McMahon) and MSc by Research (Aidan Lynch). His grant portfolio includes EU-funded projects like STREWS, N4C, and SAIL, as well as funding from organizations like the Open Technology Fund. He has maintained consistent external funding throughout his academic career, often bridging the gap between research and practical implementation. As co-chair of multiple IETF working groups (including OpenPGP and LAKE) and the IRTF's Usable Formal Methods Research Group, Farrell plays a significant role in shaping Internet standards. His leadership in the TACT project during the pandemic demonstrated his ability to rapidly mobilize research efforts to address urgent public health needs through the Testing Apps for COVID-19 Tracing initiative.