جست‌وجوی استاد و پژوهشگر

Joyce Y. Chaiمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Situated and Embodied Dialogue Agents
• +۷ مورد دیگر

Joyce Y. Chai is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. She is an Associate Director of the Michigan Institute for Data & AI in Society (MIDAS) and affiliated with the Michigan Robotics Institute. Her research focuses on enabling situated communication with embodied AI agents through grounded language processing. Education: Ph.D. in Computer Science from Duke University Her research interests lie at the intersection of natural language processing, embodied AI, and human-robot communication. She investigates how sensorimotor experiences and social interactions shape language learning, aiming to develop pragmatically-rich, cognitively-motivated language technologies for real-world applications. Scientific Awards: EECS Outstanding Achievement Award (2024) University of Michigan Outstanding Paper Award ACL (2023) Honorable Mention Amazon Alexa Prize Simbot Challenge (2023) - SEAGULL Team Winner ACL Fellow (2022) Outstanding Paper Award, EMNLP (2021) William J. Beal Outstanding Faculty Award, Michigan State University (2018) Withrow Distinguished Senior Scholar Award, College of Engineering, MSU (2017) Best Long Paper Award, ACL (2010) NSF Career Award (2004) Joyce Y. Chai has been an influential figure in AI and NLP research, securing significant grants such as the NSF Career Award. She leads the Situated Language and Embodied Dialogue (SLED) research group and has served on the executive board of NAACL. Her teaching includes graduate courses on Natural Language Processing (EECS 595) and Advanced Artificial Intelligence (EECS 692).

Shiri Azenkotمشاهده پروفایل

دانشیار

• Accessibility
• Human-Computer Interaction
• Assistive Technology
• +۵ مورد دیگر

Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and Cornell University, affiliated with the Information Science Department and Technion’s Computer Science Department. Her research focuses on accessibility innovations in emerging technologies, particularly addressing needs of people with vision impairments and neurodiverse populations. She holds a PhD from the University of Washington, advised by Richard Ladner and Jacob Wobbrock, and has been recognized with prestigious awards including the NSF Graduate Research Fellowship. Education: PhD in Computer Science & Engineering from University of Washington (advisors: Richard Ladner, Jacob Wobbrock). Research interests include VR/AR accessibility, assistive technology design, inclusive education tools, and ethical AI applications. Current projects explore social VR avatars for invisible disabilities, AR navigation aids, and AI moderation systems against ableist hate speech. Her work is funded by NSF, AOL, Verizon, and Facebook. Recent publications address video accessibility for ADHD users, AI-driven scene descriptions for blind users, and tactile learning materials co-designed with educators. She leads the XR Access initiative promoting inclusive virtual/augmented reality. Awards include the UW Graduate Medal (2020), NSF CRII Award (2017), and AT&T Labs Fellowship (2014). Her research bridges academic innovation with industry impact through collaborations with tech companies and disability advocacy groups.

Emily Wallمشاهده پروفایل

استادیار

• Data Visualization
• Visual Analytics
• Cognitive Psychology
• +۳ مورد دیگر

Dr. Emily Wall is an Assistant Professor in the Department of Computer Science at Emory University, leading the CAV Lab (Cognition and Visualization). She earned her Ph.D. in Computer Science from Georgia Tech (2020) and completed a postdoctoral fellowship at Northwestern University before joining Emory. Ph.D., Computer Science, Georgia Tech (2020) Postdoctoral Researcher, Northwestern University Current: Assistant Professor, Emory University Her research focuses on enhancing human decision-making through data visualization and visual analytics by addressing cognitive limitations and biases. Key areas include metacognition promotion, computational strategies for bias mitigation, and human-AI collaboration in data analysis. She combines cognitive psychology principles with technical implementation using tools like D3.js and Tableau. Recent publications highlight her work on LLM applications in visual analytics, cognitive bias interventions, and trust calibration in AI systems. Current students like Mengyu Chen, Shiyao Li, and Zhongzheng Xu are presenting at top conferences such as CHI and IEEE VIS. She also explores educational applications through interactive visualization pedagogy and innovative assessment methods. Dr. Wall actively engages in academic service through graduate mentorship, conference judging, and diversity initiatives. Her lab emphasizes both technical proficiency and social justice implications in visualization design, reflected in course projects that merge artistic expression with data-driven storytelling.

Nima Mesgaraniمشاهده پروفایل

دانشیار

• Acoustic Signal Processing
• Computational Neuroscience
• Brain-Machine Interface
• +۳ مورد دیگر

Nima Mesgarani is an Associate Professor of Electrical Engineering at Columbia Engineering, Columbia University, affiliated with the Sense, Collect and Move Data Committee. His research bridges engineering and neuroscience through reverse-engineering neural signal processing mechanisms, leading to advancements in brain-machine interfaces, neural prosthetics, and speech processing algorithms. He received his PhD in Electrical Engineering from the University of Maryland and completed postdoctoral training at Johns Hopkins University's Center for Language and Speech Processing and UC San Francisco's Neurosurgery Department. Research Focus Professor Mesgarani's lab integrates computational neuroscience and engineering to study acoustic signal processing. Key areas include: Neural decoding of speech and auditory attention in multi-talker environments Development of brain-controlled hearing technologies Novel speech separation and synthesis algorithms inspired by cortical processing Cross-modal learning between auditory and visual systems Applications of large language models in neural signal interpretation Publication Trends Analysis of his 15 most recent articles (2025) reveals dominant themes: neural decoding techniques using intracranial EEG, brain-inspired speech separation models (e.g., Mamba architectures), applications of large language models in auditory neuroscience, cross-modal distillation methods, and clinical translation of audio processing algorithms. A strong emphasis emerges on real-time brain-computer interfaces and noise-robust speech processing. Laboratory and Collaborations Mesgarani directs an interdisciplinary lab developing neurotechnology for hearing restoration. His team collaborates with neurosurgery departments and speech processing centers, focusing on translating theoretical models into clinical brain-machine interfaces. The lab's work has yielded patents for brain-informed speech separation systems and attention-decoding frameworks.

Taina Bucherمشاهده پروفایل

استاد

• Algorithmic Studies
• Social Media
• Digital Infrastructure
• +۸ مورد دیگر

Taina Bucher is a Professor at the Department of Media and Communication, University of Oslo, specializing in algorithmic studies, digital infrastructure, and human-machine communication. She leads the Screen Cultures research group and serves as Principal Investigator for HumAIn , a five-year humanities hub reimagining AI (2024-2029). Research Focus: Her work examines Algorithmic power and politics Cultural imaginaries of digital technology Temporalities of algorithmic media Feminist epistemologies in digital contexts Monitorial citizenship in platform societies Publications: Bucher has authored two monographs: Facebook (Polity Press, 2021) and IF…THEN: Algorithmic Power and Politics (Oxford University Press, 2018). Her recent articles explore facial recognition systems, algorithmic temporality, and digital divides. Academic Background: PhD in Media Studies (University of Oslo, 2012), MSc in Culture & Society (London School of Economics, 2007), with visiting scholar appointments at The New School, Ryerson University, and New York University. Teaching: She supervises and teaches topics including Digital infrastructure Algorithm studies Screen cultures Media theory Critical data studies Digitalization of public sectors Editorial Roles: Active on editorial boards for Journal of Communication , New Media & Society , and Information, Communication & Society .

• Human-Computer Interaction
• Virtual Reality
• Social Virtual Reality
• +۴ مورد دیگر

Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.

Andres Luceroمشاهده پروفایل

دانشیار

• Interaction Design
• Human-Computer Interaction
• Mobile Interfaces
• +۱ مورد دیگر

Andres Lucero is Associate Professor of Interaction Design at Aalto University's Department of Art and Media, specializing in human-computer interaction for mobile devices and interactive surfaces. His research integrates human-computer interaction, design methodologies, and playful interfaces. He holds a PhD from Eindhoven University of Technology and has industry experience from Nokia, where he led user-centered design projects as Senior Researcher. Research explores tangible interfaces, social wearables, museum experience design, human-AI collaboration, and cross-cultural co-design approaches. Recent projects investigate conversational agents in design processes, persona generation workflows, and freeform interactive devices. Dr. Lucero received the Honourable Mention Award at MUM 2020 for innovative interaction research. His work advances design methods through first-person perspectives, AI integration, and novel interaction paradigms.

Yvonne Rogersمشاهده پروفایل

استاد

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +۱ مورد دیگر

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

Gabriel Brostowمشاهده پروفایل

استاد

• Computer Vision
• Human-Computer Interaction
• Human-Centered AI
• +۶ مورد دیگر

Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.

Marina Jirotkaمشاهده پروفایل

استاد

• Responsible Innovation
• Human-Computer Interaction
• Ethics in AI and Robotics
• +۱۷ مورد دیگر

Professor Marina Jirotka is a leading academic in Human-Centred Computing at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at St Cross College. She directs the Responsible Technology Institute and leads interdisciplinary research on responsible innovation in AI, robotics, and digital systems. University: University of Oxford School: Department of Computer Science Position: Professor of Human-Centred Computing Leadership: Director, Responsible Technology Institute Fellowships: EPSRC Established Career Fellowship (RoboTIPS) Her research focuses on integrating ethical, societal, and human values into technology design. Key areas include responsible innovation, human-computer interaction, algorithmic accountability, and socio-technical systems. She explores trust, transparency, and governance in autonomous systems, digital mental health, and quantum computing ethics. Her recent publications reflect a strong trend in responsible robotics, explainable AI, digital wellbeing, and ethical governance. Articles emphasize interdisciplinary methods, stakeholder engagement, and practical tool development such as the Ethical Black Box and TrustScapes. Themes span autonomous vehicles, social robots, algorithmic bias, and sustainability in digital innovation. Excellence in Teaching Award, University of Oxford (2006) ESRC/SSRC Fellowship (2007) UCLA Scholar Award (2011) EPSRC Established Career Fellowship (2018, 2019) Vice Chancellor’s Innovation Award Highly Commended (2020) She supervises numerous PhD and Master’s students and leads major grants including RoboTIPS, RAILS, PARIS-DE, and Adolescent Mental Health in the Digital World. She co-directs ORBIT, a leading RRI training provider, and contributes to policy through advisory roles with the House of Lords, All-Party Parliamentary Groups, and industry consortia. She is a member of the IEEE P7000 working group and the UK Committee for IIASA. Her lab work involves interdisciplinary teams focused on responsible technology design, public engagement, and ethical tool development.

Josiah Hesterمشاهده پروفایل

دانشیار

• Sustainable Computing
• Battery-Free Systems
• Intermittent Computing
• +۷ مورد دیگر

Josiah Hester is Associate Professor of Interactive Computing and Computer Science at Georgia Tech's College of Computing, where he also directs the Center for Advancing Responsible Computing and the Ka Moamoa – Ubiquitous and Mobile Computing Lab . His research focuses on sustainable, battery-free computing systems for health, conservation, and education, informed by his Native Hawaiian heritage. Education: Ph.D. in Computer Science, Clemson University, 2017 B.S. in Computer Science, Clemson University Honors College, 2011 Research Interests: Hester’s group pioneers intermittent computing —devices that harvest ambient energy (solar, radio, thermal, microbial) and operate reliably despite frequent power loss. Applications span: Large-scale conservation sensing with Indigenous communities Battery-free health wearables (smart masks, implantables) Educational tools for sustainable design Carbon-aware IoT and recyclable robotics Recent Work & Trends: His 2024–2025 publications unveil soil-powered sensors, recyclable electronics, and culturally-grounded CS education tools. A consistent theme is co-design with underserved communities and embedding sustainability metrics at every layer—from hardware to curriculum. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) – 2025 Alfred P. Sloan Fellowship – 2022 NSF CAREER Award – 2022 Popular Science “Brilliant 10” – 2021 3M Non-Tenured Faculty Award – 2021 Multiple best-paper & best-presentation awards Grants & Teams: Hester’s lab is supported by >$50 million in active funding from NSF, NIH (ARPA-H), DARPA, DoD, Sloan, VMware, and 3M. He leads interdisciplinary teams on projects such as: $35 million ARPA-H bioelectronics initiative for diabetes and cancer $5 million NSF “Coastlines and People” Hub for Manoomin conservation $2 million NSF-DELPHI sustainable edge device design Laboratory & Mentorship: The Ka Moamoa Lab (named with Hawaiian meaning “lamp of the moamoa fish”) hosts graduate, undergraduate, and post-doctoral researchers. Hester actively recruits Native and Indigenous students and has mentored award-winning advisees such as Nivedita Arora (ACM Doctoral Dissertation Award 2024).

Max V. Birkمشاهده پروفایل

دانشیار

• Digital Health
• Game Design
• Human-Computer Interaction
• +۳ مورد دیگر

Max V. Birk is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Human-Technology Interaction group in the School of Industrial Engineering and Innovation Sciences. He holds a secondary appointment as EAISI Health Associate Professor. His interdisciplinary research focuses on game-based design strategies, digital health, and motivational interface design, with contributions to games user research, eSports, and interactive experience tools. Birk earned a Psychology degree from the University of Trier (2012) and a Computer Science PhD from the University of Saskatchewan (2018), focusing on avatar customization for health engagement. Research Contributions: Birk’s work spans player experience, behavioral data analysis, and game-based digital biomarkers for stress. He leads the NWO Veni-funded project on game-based biomarkers for acute/chronic stress. His research has been published in top HCI venues like CHI and ACM Transactions on CHI. Organized global workshops and co-chaired CHI PLAY 2020/2021 Collaborations with Tencent, AlienTrap, and global game developers Editorial roles at JMIR Mental Health Awards & Honors: 2023 TU/e Young Researcher Award 2022 Best MSc Teacher Industrial Design NWO Veni Grant (2020) Multiple ACM awards and recognitions Academic Leadership: Vice-chair of Eindhoven Young Academy of Engineering Board member of EWUU Centre for Unusual Collaboration Member of De Jonge Akademie (KNAW) Teaching: Courses include 'Digital Tools & Human Wellbeing', 'Human Factors', and 'Social Media & Online Life'.

Dhruv Jainمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Audio AI
• Accessibility
• +۵ مورد دیگر

Dhruv Jain is an Assistant Professor in the Computer Science and Engineering Department at the University of Michigan , with affiliations in the School of Information and Michigan Medicine . He leads the Soundability Lab , focusing on transforming hearing into a programmable interface through human-centered AI systems. PhD from University of Washington MS from MIT Media Lab Formerly worked at Microsoft Research, Google, and Apple Research Interests intersect Human-Computer Interaction (HCI) , Audio AI , Accessibility , and Hearing Health . His work develops systems like SoundWatch (smartwatch-based sound awareness) and HomeSound (IoT sound visualization) to expand auditory access for DHH individuals and other domains. Recent Publications (2023–2025) span top venues like CHI , ASSETS , and ICMI , with trends including generative AI for real-time captioning , adaptive soundscapes , and clinical communication tools . SIGCHI Outstanding Dissertation Award (2023) William Chan Memorial Dissertation Award (2023) Best Poster Award at ASSETS 2024 Google Academic Research Award (2024) NIH Grant ($450k, 2023) William Demant Foundation Grant ($740k, 2025) Teaching includes Accessible Computing (undergraduate) and Advanced Accessibility (graduate), alongside global DIY workshops in five countries. The Soundability Lab collaborates with neuroscientists, clinicians, and Deaf scholars to create deployable systems like clinical communication tools now at Michigan Medicine and features integrated into Apple devices.

• Probabilistic Verification
• Quantitative Model Checking
• Formal Methods
• +۴ مورد دیگر

Marta Kwiatkowska is a Professor of Computing Systems at the University of Oxford and a Fellow of Trinity College. Her research focuses on probabilistic verification , quantitative model checking , and formal methods for complex systems including autonomous robots, medical devices, and biological systems. She leads the development of the PRISM and PRISM-games probabilistic model checkers. Key research areas: Probabilistic systems, formal verification, autonomous robotics, medical device analysis, systems biology Grants: ERC Advanced Grant VERIWARE, EPSRC Programme Grant Mobile Autonomy Awards: 2024 ETAPS Test-of-Time Tool Award for PRISM Students: Current and former advisees in topics spanning formal methods, robotics, and quantitative verification The PRISM-games extension enables verification of stochastic multi-player games with applications in network protocols, autonomous systems, and game theory. Her work bridges theory, algorithms, and practical implementation, with real-world applications in ubiquitous computing and nanotechnology.