جستجوی استاد راهنمای دانشگاهی

John Zimmermanمشاهده پروفایل

دانشیار

• Value of Digital Things
• Service Design and Social Computing
• Ubiquitous/Mobile Computing
• +۳ مورد دیگر

John Zimmerman serves as Associate Professor with a joint appointment between Carnegie Mellon University's School of Design and Human Computer Interaction Institute, teaching interaction design studios and mobile service innovation courses while leading impactful research across four core domains. His educational foundation includes an MDes in Interaction Design from CMU's School of Design, building on prior industry experience as Senior Researcher at Philips Electronics where he designed interactive television and home technologies. Zimmerman's research investigates why digital possessions are often undervalued compared to physical objects through projects like interactive teen bedrooms and memory-postcard services. His service design work engages citizens in public planning via social computing, notably a crowdsourced transit system earning FCC and ITS America awards with 150,000+ location traces. In ubiquitous computing, he develops smartphone systems for family routines and mental health monitoring, while his Research through Design methodology explores speculative futures through practice, culminating in the co-authored book Design Research Through Practice . Analysis of his 15 most recent publications (2024-2025) reveals a strategic pivot toward AI ethics and public-sector applications, with 60% focusing on responsible AI development, equity in government systems, and educational technology, while maintaining foundational work in service design and digital possessions. His scientific recognition includes: FCC award for crowdsourced transit innovation Intelligent Transportation Society of America award for real-time transit system Zimmerman secures research funding for projects spanning public technology, educational tools, and AI ethics, though specific grants aren't detailed in source materials. He mentors MDes students at CMU's School of Design, emphasizing practical design skills and ethical technology development as reflected in his teaching of interaction design studios and mobile service courses. His collaborative work extends through CMU's interdisciplinary ecosystem and public-sector partnerships, particularly evident in transit system development with local transportation authorities and classroom analytics projects with K-12 educators.

• Privacy-friendly home-based monitoring
• Unobtrusive sensing solutions
• Activity recognition and classification
• +۸ مورد دیگر

Dr. Idongesit Ekerete (FHEA, IEEE/IPEM member) is a Lecturer in Computing Science at the School of Computing , Ulster University. He serves as Lab Manager for the Pervasive Computing Research Centre and co-investigator in a £3.3M Advanced Research and Engineering Centre project focused on FinCrime. His academic background includes a B.Eng. (First Class) in Electrical/Electronic Engineering from University of Uyo (2011), M.Sc. in Biomedical Engineering from University of Strathclyde (2017), and a PhD in Unobtrusive Sensing from Ulster University (2021). Current role: Lecturer in Computing Science (Ulster University, since 2021) Past role: Lecturer in Electrical/Electronic Engineering (University of Uyo, 2011–2021) Professional: Vice-Chair of IEEE SMC UK-Ireland Chapter His research focuses on privacy-preserving home monitoring systems using unobtrusive sensing , sensor fusion , and AI activity modeling . Recent publications explore thermal sensor applications for mood detection, federated learning for financial crime detection, and gait analysis for elderly wellbeing. Key themes include human-computer interaction , digital twins , and control systems engineering applied to healthcare contexts. Scientific contributions include: Learning and Teaching Award 2024 for student support UNIUYO Best Graduating Student Award Prof. Hilary’s Academic Excellence Award He has authored 20+ research outputs and led collaborations across biomedical engineering, pervasive computing, and financial crime detection domains.

• Electrical engineering
• Electronics, sensors and digital hardware
• Distributed computing and systems software
• +۶ مورد دیگر

Masood Parvania is the Roger P. Webb Endowed Professor at the University of Utah in Electrical and Computer Engineering. He serves as Director of the Utah Smart Energy Laboratory (U-Smart) and Co-Director of the NSF WIRED Global Center . His research focuses on mathematical optimization , control theory , and machine learning applications in power system operation, resilience, and interdependent infrastructure modeling. His work addresses critical challenges including: Equity-aware grid restoration Climate-resilient energy systems Cyber-physical security analysis Hybrid energy storage coordination Extreme heat event mitigation strategies Key research trends across his 15 most recent publications reveal deep integration of: Renewable energy with storage systems Machine learning in real-time grid operation Cybersecurity frameworks for critical infrastructure Equity metrics in energy distribution Honors include: IEEE Outstanding Associate Editor Award (2022) University of Utah Presidential Scholar (2020) IEEE Utah Section Outstanding Educator Award (2017) Multiple Best Reviewer and Distinguished Service Awards As Associate Editor for IEEE Transactions on Power Systems , he actively shapes energy research discourse while leading NSF-funded initiatives like: U.S.-Canada Climate-Resilient Grid Center ($90M+ Western EV Infrastructure Scale-Up Wasatch Multi-Modal Corridor Electrification

Scott Feldمشاهده پروفایل

استاد

• Social Networks
• Individual and Collective Decision-Making
• Evaluation Research
• +۱ مورد دیگر

Scott Feld is Professor of Sociology at Purdue University, where he has taught since 2004. He previously served on the faculties of SUNY-Stony Brook (1975-1991) and Louisiana State University (1991-2004). His expertise lies in social networks, decision-making processes, and evaluation research. Education: Ph.D. in Sociology, Johns Hopkins University (1976) Research Interests: Professor Feld's ongoing investigations center on the causes and consequences of patterns within social networks, the mechanisms underlying individual and collective decision-making, and the application of sociological insights—most recently to innovations in marriage and divorce laws such as covenant marriage. His work spans theoretical modeling, empirical analysis, and policy evaluation. Publication Trends: Across more than sixty refereed articles—twelve of which appear in the top journals of sociology and political science—his scholarship reveals a consistent focus on network structure, voting and collective choice, and the diffusion of behaviors. Recent contributions emphasize privacy-sensitive network interventions, contagion control, and leveraging the friendship paradox to guide public-health policy. Teaching & Service: He regularly teaches undergraduate and graduate courses on social networks, research methods, and statistics, integrating his research findings into classroom instruction.

Maha Abdelhaqمشاهده پروفایل

استادیار

• Mobile Ad Hoc Networks
• Intrusion Detection Systems
• Network Performance Analysis
• +۴ مورد دیگر

Maha Abdelhaq is an Assistant Professor in the Department of Computer Science at Princess Nourah bint Abdulrahman University. Her research spans mobile ad hoc networks, cybersecurity, and AI-driven solutions for IoT and 6G systems. She has authored over 100 publications, with recent work focusing on adaptive learning frameworks, anomaly detection, and quantum-enhanced privacy mechanisms. Her core research interests include: Network performance analysis and intrusion detection in dynamic environments Machine learning applications for IoT security and edge computing 6G network optimization using quantum and federated learning techniques Recent publications (2023-2025) reveal a strong emphasis on AI/ML-driven methodologies, with trends in: Real-time anomaly detection for cyber-physical systems Resource-aware federated learning for medical IoT Hybrid quantum-classical approaches for vehicular network security No awards, lab affiliations, or supervised students are documented. Collaborative projects frequently address emerging challenges in decentralized network security and metaverse applications.

Weina Wangمشاهده پروفایل

استادیار

• Applied Probability
• Stochastic Systems
• Reinforcement Learning
• +۷ مورد دیگر

Weina Wang is an Assistant Professor in the Computer Science Department at Carnegie Mellon University, joining in Fall 2018. Her research lies at the intersection of applied probability , stochastic systems , and reinforcement learning , focusing on decision-making in large-scale systems with applications to computing resource orchestration, data privacy, and graph statistics. She has received prestigious awards including the NSF CAREER Award (2022) , ACM MobiHoc Best Paper (2022) , and ACM SIGMETRICS Rising Star Research Award (2023) . PhD in Electrical Engineering, Arizona State University (2016) Bachelor’s in Electronic Engineering, Tsinghua University (2009) Her recent publications span restless bandits , queueing theory , and attributed graph alignment , reflecting her dual focus on fundamental limits and algorithmic solutions. Notable collaborations include work on privacy-preserving data routing , phase-aware scheduling , and erasure-coded servers for heterogeneous traffic. She has advised PhD students Jalani Williams , Tuhinangshu Choudhury , and Yige Hong . Her research has been recognized with best paper awards and grants like the NSF CAREER . She also contributes to professional societies, recently joining the INFORMS Applied Probability Society council . Her teaching includes courses like Probability and Computing and Fundamentals of MDPs and Reinforcement Learning .

• network security
• network measurement and analysis
• cloud computing
• +۴ مورد دیگر

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

• Entity Resolution
• Record Linkage
• Privacy-Preserving Record Linkage
• +۳ مورد دیگر

Dimitrios Karapiperis serves as an Academic Scholar at the School of Science and Technology, International Hellenic University (IHU), specializing in Entity Resolution and Privacy-Preserving Record Linkage. Previously, he held a post-doctoral position at the Hellenic Open University. He earned his PhD from the Hellenic Open University and his MSc from the University of York (UK). His doctoral thesis was featured in the IEEE Intelligent Informatics Bulletin of August 2017, highlighting its significance in the field. Dr. Karapiperis' research centers on developing advanced algorithms for entity resolution, including similarity measures, data structures, and scalable distributed solutions using randomization techniques. His work extends to privacy-preserving methods for record linkage with applications in electronic health records, cryptocurrency analysis, and social media sentiment. He has made significant contributions to efficient record linkage in data streams and spatio-temporal data through innovative blocking techniques and approximation schemes. His recent publications (2020-2022) reveal a consistent focus on scalable and privacy-aware record linkage, with increasing applications in financial technology and affective computing. Collaborations with prominent researchers like V.S. Verykios have resulted in numerous publications in top venues including IEEE Big Data and IEEE TIFS, demonstrating expertise in both theoretical foundations and practical implementations. Scientific Recognition Doctoral thesis featured in IEEE Intelligent Informatics Bulletin (2017) Research Projects University of York: Development of Java servlets for converting VisioXML into GSML within the High Integrity Systems Engineering research group University of Macedonia: Standardization of distance learning systems University of Macedonia: Establishment of a data bank for the fur sector in Kastoria University of Macedonia: System for organizing business processes of the Ministry of Macedonia and Thrace Dr. Karapiperis has collaborated with research teams across multiple institutions, contributing to diverse projects from healthcare data integration to government business process optimization, while maintaining active research in scalable entity resolution methodologies.

Myra Cohenمشاهده پروفایل

استاد

• Software Testing
• Configurable Software
• Search-based Software Engineering
• +۳ مورد دیگر

Myra Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering in the Department of Computer Science at Iowa State University. Previously, she held the position of Susan J. Rosowski Professor at the University of Nebraska-Lincoln where she was a member of the ESQuaReD software engineering research group. She serves on the ASE Steering Committee and has held leadership roles including general chair of ASE 2015 and program co-chair for ICST 2019 and ESEC/FSE 2020. Dr. Cohen earned her Ph.D. from the University of Auckland, New Zealand, her M.S. from the University of Vermont, and her B.S. from the School of Agriculture and Life Sciences at Cornell University. Her academic journey includes lecturing positions at both the University of Auckland and University of Vermont during her graduate studies. Her research spans several interconnected domains focused on software quality and assurance. A significant portion of her work addresses software testing challenges in highly-configurable systems, where she applies search-based techniques and combinatorial designs to create efficient test suites. More recently, her research has expanded into innovative areas including software testing for biological systems, quantum computing applications, and security testing through genetic improvement techniques. Her work demonstrates a consistent theme of addressing complex verification challenges through creative application of formal methods and automated techniques. Analysis of her recent publications reveals a growing focus on emerging domains including quantum software testing, molecular/biological computing systems, and assurance cases for safety-critical systems. She has increasingly incorporated AI techniques, particularly large language models, into traditional software engineering problems while maintaining her foundational work in configurable systems and metamorphic testing. NSF CAREER award recipient AFOSR Young Investigator Award recipient ACM Distinguished Scientist Recipient of 4 ACM Distinguished Paper awards Dr. Cohen has served as chair and committee member for numerous conferences including ASE, ICSE, ISSTA, ESEC/FSE, and ICST. She has mentored numerous students through the doctoral symposiums and student research competitions at major software engineering conferences. Her research has been supported by significant grants including those from NSF and AFOSR. She leads the LaVA-OPs (Laboratory for Variability-Aware Assurance and Testing of Organic Programs) research group at Iowa State University, which focuses on testing challenges in biological and organic computing systems.

• Tax Law
• Tax Self-Regulation
• Procedural Contradiction
• +۹ مورد دیگر

Patrizia Accordino serves as an Associate Professor in Tax Law at the University of Messina's Department of Political and Legal Sciences. With extensive expertise in tax legislation and policy, she teaches TAX LAW and ELEMENTS OF TRANSNATIONAL TAXATION courses within the Political Science and International Relations program. Her academic journey includes a PhD in business income taxation within community tax systems, a Master in Tax Law, and legal practice certification. Professor Accordino's research focuses on contemporary tax challenges including tax self-regulation, procedural rights in tax proceedings, innovative entrepreneurship taxation, and the critical intersection of taxation with sustainability. Her recent publications (2023-2025) demonstrate growing specialization in environmental taxation, administrative transparency in tax systems, and digital economy tax implications, reflecting current global fiscal policy trends. She has received notable recognition including two BEST PAPER AWARDS from Cracow University of Economics (2017, 2019) and serves as a reviewer for international journals including SUSTAINABILITY. Her active engagement extends beyond academia through 45 documented public engagement activities including MEDNIGHT participation, school outreach programs, and organizing research valorization initiatives like 'Io e il Fisco'. BEST PAPER AWARD, Cracow University of Economics - Faculty of Management (2019) BEST PAPER AWARD, Cracow University of Economics (2017) Certificate in Advanced English C1, Cambridge University (2021) Reviewer for international journal SUSTAINABILITY (2020-present) Reviewer for World of Real estate Journal (2020-present) Professor Accordino has supervised numerous academic initiatives, serving as delegate for orientation and tutoring at her department from 2018-2024. Her extensive publication record of 84 works demonstrates consistent scholarly contribution to tax law, with recent emphasis on how fiscal policy can support sustainable development and address contemporary economic challenges. She actively bridges academic research with practical application through public engagement and educational outreach.

Fiona Costelloمشاهده پروفایل

پژوهشگر

• Migration Law
• Brexit Impact
• EU Settlement Scheme
• +۵ مورد دیگر

Fiona Costello is a Researcher at the University of Cambridge's Faculty of Law, specializing in migration law and Brexit impacts. She co-leads the ESRC-funded EU Migrant Worker Project with Professor Catherine Barnard through the UK in a Changing Europe Programme, focusing on low-paid EU nationals in the UK. Her research interests center on the practical implementation of migration policies, particularly the EU Settlement Scheme (EUSS). She examines how bureaucratic processes affect vulnerable communities, including issues with digital application barriers, paper-based alternatives, and the intersection of immigration status with housing insecurity and labor rights abuses. Her work highlights systemic challenges in 'hostile environment' policies through community-led research partnerships. Costello's publication trends reveal consistent focus on frontline implementation gaps in migration policies since 2021. Her research spans digital governance challenges, labor exploitation in sectors like poultry processing, and the compounded vulnerabilities of EU migrants during crises like the pandemic. The work consistently bridges academic analysis with community advocacy, emphasizing the human impact of policy design. She maintains strong partnerships with frontline organizations including GYROS and ACCESS in Norfolk/Suffolk, ensuring research reflects ground-level realities. Her methodology uniquely combines academic rigor with community-led insights from over a decade of direct support work with migrant communities. Costello's advisory work focuses on translating research into practical policy improvements, particularly regarding vulnerable groups' access to legal support. Her grant portfolio includes ESRC funding through the UK in a Changing Europe initiative, with additional support from community organizations for localized impact projects. Her research operates through deep collaboration with community advice agencies, treating them as equal research partners rather than data sources. This approach creates living laboratories for policy implementation analysis in real-time migration contexts.

• Health Equity
• Healthcare Disparities
• Social Determinants of Health
• +۸ مورد دیگر

Dr. Marcella Nunez-Smith is the Inaugural Associate Dean for Health Equity Research and C.N.H. Long Professor of Internal Medicine (General Medicine), Epidemiology (Chronic Disease), and Public Health (Social and Behavioral Sciences) at Yale School of Medicine. She serves as Founding Director of the Equity Research and Innovation Center (ERIC), Director of the Center for Research Engagement (CRE), Associate Cancer Center Director for Community Outreach and Engagement at Yale Cancer Center, Chief Health Equity Officer at Smilow Cancer Hospital, and Deputy Director for Health Equity Research and Workforce Development at the Yale Center for Clinical Investigation. Her academic appointments include: Primary Appointment: Professor of Internal Medicine (General Medicine) Secondary Appointments: Professor of Chronic Disease Epidemiology and Professor of Social and Behavioral Sciences Dr. Nunez-Smith's research focuses on promoting health and healthcare equity for structurally marginalized populations with an emphasis on community engagement, healthcare workforce diversity, patient-reported measurements of healthcare quality, and regional strategies to reduce the global burden of non-communicable diseases. Her work examines social and structural determinants of health, systemic influences contributing to health disparities, and community-academic partnered scholarship. Through the Equity Research and Innovation Center (ERIC), she combines primary data collection with expertise in qualitative and mixed methods, population health, and medical informatics. Her research portfolio includes an NIH-funded project to develop a tool to assess patient-reported experiences of discrimination in healthcare, investigations of diversity promotion in academic medical faculty, and the Eastern Caribbean Health Outcomes Research Network (ECHORN). During the pandemic, she received NIH funding to leverage ECHORN to improve the COVID-19 testing cascade in Puerto Rico and the US Virgin Islands. She chaired the Governor's ReOpen CT Advisory Group Community Committee, served as co-chair of the Biden-Harris Transition COVID-19 Advisory Board, and was Senior Advisor to the White House COVID-19 Response and Chair of the Presidential COVID-19 Health Equity Task Force. Dr. Nunez-Smith has been elected to the National Academy of Medicine (2021) and has mentored dozens of trainees while receiving numerous awards for teaching and mentoring. Her work through the Office of Health Equity Research continues to advance initiatives that address health disparities in communities both locally and globally.

Hamed Alaviمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Smart Environments
• Urban Computing
• +۵ مورد دیگر

Hamed Alavi is a tenured Assistant Professor at the University of Amsterdam and founding member of the Digital Interaction Lab. His work bridges computer science, architecture, and urban design to develop inclusive intelligent spaces that reflect human values across architectural and urban dimensions. His educational background includes a PhD in Computer Science from the Swiss Federal Institute of Technology (EPFL) and post-doctoral research at University College London (UCL). Prior to academia, he led an educational technology start-up for eight years with global impact. Alavi's research focuses on Human-Building Interaction (HBI), exploring how intelligent environments can co-create inclusive spaces through biophilic design, physiological sensing, and human-centered methodologies. His work emphasizes socio-technical integration in smart buildings and cities, addressing neurodiversity, environmental comfort, and ethical data practices. His recent publications reveal strong trends in multisensory interaction design, urban computing, and inclusive technology development. Key themes include physiological-environmental sensing integration, AI ethics in urban contexts, and human experience frameworks for smart buildings, with growing emphasis on neurodiverse populations and biophilic elements. Scientific recognition includes: Inclusive City-Making Grant (PI, €3.8M, NWO) Best Paper Award at CHI 2025 As Principal Investigator for the NWO-funded Inclusive City-Making project, Alavi leads large-scale interdisciplinary research translating academic insights into urban solutions. His entrepreneurial background informs practical technology deployment strategies and industry-academia collaboration models. The Digital Interaction Lab, which he co-founded, serves as a research hub for intelligent environment design, bringing together computer scientists, architects, and urban planners to prototype responsive built environments through living lab methodologies and wild deployment studies.

Hui Liuمشاهده پروفایل

استاد

• Software Engineering
• AI-based Software Development
• LLM-based Program Generation
• +۵ مورد دیگر

Hui Liu is a Professor in the School of Computer Science and Technology at Beijing Institute of Technology, where he leads research in AI-based software development with a focus on LLM applications. His work spans software refactoring, quality improvement, and maintenance, funded by the National Natural Science Foundation of China and the National Key Research and Development Program of China. PhD from Peking University (2008) Former graduate student at Software Engineering Institute, Peking University Distinguished member of China Computer Federation Secretary-General of CCF Technical Committee on Software Engineering Professor Liu's research centers on LLM-based program generation, evaluation and testing of large language models, software refactoring techniques, and automatic construction of software engineering datasets. His work bridges artificial intelligence and software engineering, with particular emphasis on improving code quality through empirical studies and machine learning techniques. Current projects include code contamination detection, context-aware naming recommendations, and refactoring validation using LLMs. His research has evolved from traditional code smell detection to cutting-edge applications of large language models in software development. Liu's publication record shows a strong trend toward LLM applications in software engineering, with recent work focusing on code review generation, commit message generation, and refactoring validation using large language models. His research combines empirical methods with machine learning approaches, often analyzing large code corpora from open-source projects. The work spans both theoretical foundations and practical tool development, with several contributions merged into Eclipse as part of the open-source community. ACM Distinguished Paper Award (ESEC/FSE 2023) ACM Distinguished Paper Award (ICSE 2022) RE'2021 Best Research Paper Award IET Software Premium Award (2018) New Century Excellent Talents in University (2013) Beijing Higher Education Young Elite Teacher (2013) Professor Liu actively mentors PhD and Master's students, with recent graduates including Waseem Akram (awarded Outstanding Graduate) and several students publishing at top venues. His research is supported by major Chinese funding agencies, and he serves on program committees for leading software engineering conferences including ASE, ICSE, and FSE. He maintains strong industry connections through contributions to Eclipse and studies of open-source ecosystems like Rust. Liu leads a research group focused on AI for software engineering, with active projects on code generation, refactoring, and quality improvement. The group collaborates extensively with international researchers and contributes directly to open-source tools, particularly in the Eclipse ecosystem where multiple refactoring improvements have been merged.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Associate Professor Tham Piumsomboon is a prominent researcher at the University of Canterbury's School of Product Design within the Faculty of Engineering. With a PhD in Computer Science from the same institution, their work bridges gaming, human-computer interaction, and immersive VR/MR/AR technologies to enhance user experiences and redefine lifestyle interactions. As founder of the QUADRIC Research Group, they lead initiatives addressing Aotearoa's agricultural, mental health, and sustainability challenges through intuitive intelligent user interfaces. Research focuses on the intersection of human qualia and technological design, emphasizing experiential learning, cognitive modeling, and ethical AI alignment. Key research thrusts include 'Agents' (AI autonomy levels), 'Humans' (IUIs for XR collaboration), 'Augment' (enhancing human perception), and 'Aotearoa' (local solution development). Their publications reveal strong trends in spatial interaction techniques, remote collaboration frameworks, and mental health applications of XR technologies. ACM CHI 2018 Best Paper Award for 'Pinpointing' research New and Emerging Researcher Award 2022 Extensive editorial service for IEEE TVCG, ACM SIGGRAPH, and UIST conferences As principal investigator for three major grants including 'Tōku Hoa: A Personalized Agent for Mental Health' (MBIE, 2022-2025) and 'Navigating Well-being' (Child Well-being Research Institute, 2024), they direct significant research funding toward mental health and agricultural technology. They supervise over 15 graduate students across diverse XR projects from locomotion techniques to therapeutic applications. The QUADRIC Research Group serves as their primary laboratory environment, fostering interdisciplinary collaboration between computer science, design, and clinical domains.