Find Academic Supervisors

Steve OneyView profile

Associate Professor

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +5 more

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.

Tomas JanssonView profile

Professor

• Ultrasound Imaging
• Nanoparticle Engineering
• Medical Diagnostics
• +3 more

Professor Tomas Jansson serves as faculty at Lund University's Faculty of Engineering within the Department of Biomedical Engineering, holding concurrent roles as Supervisor, Head of Office for Biomedical Engineering, Project Manager for Medical Ultrasound, Director of Medicon Bridge, and member of both LTH's Engineering Health and LU's Light and Materials profile areas. His research centers on ultrasound-based diagnostic and therapeutic innovations, particularly utilizing iron oxide nanoparticles as ultrasound contrast agents for early cancer detection and surgical guidance. Current work also explores virtual reality systems for mobility assessment in visually impaired populations through the AUDOMNI sensory supplementation project. Key research domains include nanoparticle engineering, ultrasonics, transducer development, and lymph node imaging. Recent publications demonstrate dual research thrusts: (1) advanced ultrasound techniques for gastrointestinal disease diagnosis using ultra-high frequency imaging and nanoparticle-enhanced magnetomotive ultrasound, and (2) virtual reality-based mobility assessment tools with audio feedback systems for blind navigation. These efforts directly support UN Sustainable Development Goals in health and well-being. Professor Jansson actively supervises doctoral candidates including J. Berggreen (AI ultrasound applications) and J. Isaksson-Daun (AUDOMNI navigation system), while securing major funding from the Swedish Research Council and Mrs. Berta Kamprad's Cancer Foundation for prostate cancer nanotechnology projects extending through 2029. He leads the Ultrasound group infrastructure within Biomedical Engineering and participates in academic outreach through initiatives like the Medicinteknik i Skåne conference organization.

Xing-Dong YangView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Wearable Computing
• Interactive Systems Design
• +5 more

Xing-Dong Yang is an Associate Professor of Computer Science at Simon Fraser University (SFU) and holds an adjunct appointment as Assistant Professor at Dartmouth College. He directs the XDiscovery Lab and focuses on Human-Computer Interaction (HCI), particularly in developing interactive systems for smart everyday objects such as wearables, garments, and appliances. His research emphasizes accessibility for visually impaired users and prototyping tools for non-specialists. He earned his PhD from the University of Alberta, following degrees from the University of Manitoba and University of Alberta. Affiliations: Simon Fraser University (School of Computing Science), Dartmouth College (Adjunct) Education: PhD, Computer Science, University of Alberta MS, Computer Science, University of Alberta BS, Computer Science, University of Manitoba His research explores novel interactive systems, including tactile interfaces for education, assistive technologies for visual impairments, and innovative input methods for wearables. Key projects include MakeBronze (cultural preservation through interactive crafts), AccessibleCircuits (inclusive electronics for blind users), and systems like iWood and MicroFluID that merge materials science with HCI. His work has been recognized with awards such as the Best Paper Award at UIST'19 and multiple Honorable Mentions at CHI and UIST conferences. He advises a dynamic team of PhD and MSc students, emphasizing hands-on prototyping and industry collaborations through internships at companies like Google, Microsoft, and Apple. Yang has secured grants including an NSF CRII grant for device modulation and an NSF CSR Large grant for health-focused earpiece technology. His lab fosters interdisciplinary innovation, bridging computer science with design, engineering, and cultural studies.

Kotaro HaraView profile

Assistant Professor

• Human-Computer Interaction
• Human-Machine Collaborative Systems
• Accessibility Design
• +8 more

Kotaro Hara is a Full-time Faculty Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems. His research focuses on Human-Computer Interaction, Human-Machine Collaborative Systems, and Accessibility Design, with applications in urban mobility, digital transformation, and aging population support. He holds a PhD from the University of Maryland (2016). Research Areas: Accessibility, Crowdsourcing, Future of Work, Urban Sustainability Recent publications explore Augmented Reality for low-vision runners, conversational agents for dementia care, and novel tactile data visualization methods. His work integrates natural language processing, multimodal interfaces, and AI ethics frameworks across diverse domains. Academic collaborations include advising PhD candidate Sheshadri Smitha. Contact: kotarohara@smu.edu.sg

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +7 more

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

Ashwin RamView profile

Researcher

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +4 more

Ashwin Ram is a postdoctoral researcher at Saarland University's Human-Computer Interaction & Interactive Technologies Lab, under Prof. Jürgen Steimle. He holds a PhD in Computer Science from the National University of Singapore (NUS), advised by Prof. Shengdong Zhao, and a Bachelor's in Electronics Engineering from NIT Trichy. His research focuses on wearable augmented reality, smart glasses, and accessibility, leveraging cognitive and behavioral theories to design intelligent interfaces. Notable contributions include Mindful Moments (DIS '23, Honorable Mention), a mindfulness tool for smart glasses, and a quadruped robot guidance system for visually impaired individuals (CHI '24, Honorable Mention). He has served as an Associate Chair (AC) for UIST 2025 and CHI 2025. His work bridges HCI with wearable computing, exploring topics like video learning optimization (LSVP, IMWUT '21), sound source localization via neural networks (NCC '18), and accelerating Hawkes processes for event modeling (ICML '17 workshop). He collaborates internationally, including a research visit at UCL's Multi-Sensory Devices Group. Key achievements include 17 peer-reviewed publications (Google Scholar, ORCID: 0000-0003-1430-8770) and interdisciplinary projects like semantic floor map-based robot navigation. Beyond academia, he practices Carnatic music, plays guitar, and is fluent in Malayalam, Tamil, and English, with proficiency in French, German, and Hindi.

Cheng Zhi HuangView profile

Assistant Professor

• Artificial Intelligence
• Music Technology
• Computer Science
• +4 more

Cheng Zhi Huang is the Robert N. Noyce Career Development Professor and Assistant Professor at MIT, holding a shared appointment between the departments of Music and Theater Arts and Electrical Engineering and Computer Science (EECS). His work bridges artificial intelligence, music technology, and computer science to advance human-AI collaboration in musical creativity. Huang leads research in generative models for music composition, real-time interactive systems, and expressive performance synthesis. His contributions include tools like ReaLJam for AI-assisted jamming and the MAESTRO dataset for piano performance modeling. His research interests span AI-driven music generation, human-AI interaction frameworks, and culturally-aware music technologies. Notable projects include The Bach Doodle—an accessible web-based composition tool—and MIDI-DDSP for detailed performance control. Huang’s work emphasizes ethical and creative applications of AI in arts, fostering collaborations between musicians, engineers, and computer scientists. His publications highlight advancements in hierarchical generative modeling, source separation techniques, and co-creation interfaces for novices. Huang’s research has been showcased in venues like TISMIR and IEEE conferences, reflecting his interdisciplinary impact on music technology and machine learning.

Vinicius Prado da FonsecaView profile

Assistant Professor

• Robotics
• Tactile Sensing
• Robotic Manipulation
• +4 more

Vinicius Prado da Fonseca is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. His research focuses on advanced robotics, tactile sensing technologies, and human-robot interaction. His work integrates machine learning and artificial intelligence to improve robotic manipulation, prosthetic control, and haptic interfaces. Education background includes: Ph.D. in Electrical and Computer Engineering from University of Ottawa (2020) M.Sc. in Systems and Computing from Military Institute of Engineering, Brazil (2013) B.Sc. in Computer Science from Federal University of Tocantins, Brazil (2010) Research interests emphasize tactile perception systems, compliant robotic grippers, and bio-inspired sensor modules. Notable contributions include the BioIn-Tacto tactile sensing framework and studies on myoelectric control for upper-limb prosthetics. His work bridges theoretical machine learning with practical robotics applications in manufacturing, healthcare, and assistive technologies. Publications span over 30 peer-reviewed articles focusing on tactile datasets, sensor design, and robotic control algorithms. Recent trends show increasing emphasis on multimodal data fusion, active learning for sensor optimization, and human-centric robotics applications. Currently no listed scientific awards or grants, but maintains active collaborations in prosthetic development and industrial automation projects.

Tony StockmanView profile

Senior Lecturer

• Human-Computer Interaction
• Auditory Displays
• Data Sonification
• +3 more

Dr. Tony Stockman is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His teaching focuses on Database Systems, Interaction Design, and Semi-structured Data Modelling across undergraduate and postgraduate programs. His research interests include Human-Computer Interaction, Auditory Displays, and Data Sonification, with a strong emphasis on accessibility and cross-modal interfaces. Dr. Stockman has contributed to over 100 publications, exploring topics such as biofeedback systems, assistive technologies for visually impaired individuals, and collaborative design methodologies. His work frequently bridges technical innovation with user-centric design principles. Notable projects include the development of non-visual navigation tools like the Audiom web-based map viewer and co-designed haptic wearables for music synchronization. His research also addresses challenges in education technology, such as dyslexia screening through serious games.

• Accessibility
• Human-Computer Interaction
• Assistive Technologies
• +5 more

Kyle Montague is an Associate Professor in the School of Computing at Newcastle University, specializing in Human-Computer Interaction with a strong emphasis on accessibility, inclusive design, and community-centered technology development. His research bridges theoretical frameworks with practical applications to create more equitable technology experiences for marginalized communities. Montague completed his PhD at the University of Dundee in 2013 with research on 'SUM: an exploration of Shared User Models and interface adaptations to improve accessibility of mobile touchscreen interactions.' His academic trajectory shows a clear evolution from foundational work on accessibility technologies to more recent explorations of feminist ethics in community-based design. His research interests span multiple critical areas in contemporary HCI: developing accessible mobile interfaces for blind and visually impaired users, creating tools for citizen-led personalization of user interfaces, exploring digital civics and community engagement through technology, and investigating ethical frameworks for community-led design. Montague's work consistently emphasizes participatory approaches, centering marginalized communities in the design process to create technologies that truly serve their needs. An analysis of his recent publications reveals an evolving research trajectory from technical accessibility solutions toward more socially conscious design frameworks. While early work focused on practical accessibility tools (like non-visual text entry methods), his recent research engages with feminist care ethics, digital citizenship, and community-led technology development. This evolution reflects a growing emphasis on ethical considerations and social justice in HCI research, with increasing attention to AI's role in community engagement and ethical design practices. Montague has established significant collaborations with researchers across institutions, particularly with Hugo Nicolau, Tiago João Vieira Guerreiro, and Reem Talhouk. His work appears consistently in top-tier venues including CHI, ASSETS, and CSCW, demonstrating recognition by the HCI community for both technical innovation and socially impactful research. His lab at Newcastle University focuses on developing practical tools for community engagement while advancing theoretical frameworks for ethical technology design. Current projects include AI-generated tools for academic conferences, frameworks for feminist community-led ethics, and platforms for citizen-led interface personalization, all reflecting his commitment to democratizing technology development and ensuring it serves diverse community needs.

Jonathan LazarView profile

Professor

• Human-Computer Interaction (HCI)
• Digital Accessibility
• Disability Rights and Policy
• +4 more

Dr. Jonathan Lazar is a Professor in the College of Information Studies (iSchool) at the University of Maryland, where he serves as Executive Director of the Maryland Initiative for Digital Accessibility (MIDA) and core faculty in the Human-Computer Interaction Lab (HCIL). He previously held a professorship at Towson University, where he founded the Universal Usability Lab and directed the information systems program. His work bridges human-computer interaction (HCI), disability rights, and legal policy to advance digital accessibility for marginalized populations, particularly blind users, individuals with cognitive impairments, and people with Down syndrome. Education: LL.M. (Disability Rights Law, University of Pennsylvania), Ph.D. (Information Systems, UMBC), M.S. (Information Systems, UMBC), B.B.A. (Management Information Systems, Loyola University Maryland). Research Focus: Dr. Lazar's work emphasizes ICT accessibility in developing countries, non-visual modalities for blind users, ballot accessibility for voters with disabilities, and legal frameworks to enforce accessibility standards. He has authored/co-authored 17 books and over 200 peer-reviewed articles, with notable contributions on accessible data visualization, automated accessibility testing, and the intersection of law and technology. Awards: Includes the ACM SIGACCESS Outstanding Contribution Award (2020), ACM SIGCHI Social Impact Award (2016), and multiple University System of Maryland Board of Regents Awards. His research has influenced U.S. federal regulations, including airline website accessibility mandates following his work on discriminatory pricing for blind travelers. Professional Service: Serves on the executive board of the Friends of the Maryland Library for the Blind, co-chairs the Cambridge Workshop on Universal Access and Assistive Technology (CWUAAT), and advises government agencies on accessibility policy. He advocates for inclusive design in public libraries, voting systems, and educational technologies. Labs & Projects: Leads the Trace R&D Center's legacy work on accessibility, co-designs health IT tools with individuals with Down syndrome, and develops tools like FormA11y for PDF accessibility remediation. His research emphasizes translating academic findings into actionable policies and practices.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +12 more

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

Patrick CarringtonView profile

Assistant Professor

• Accessibility
• Human-Computer Interaction
• Wearable Technology
• +4 more

Patrick Carrington, an Assistant Professor at the Human-Computer Interaction Institute within Carnegie Mellon University's School of Computer Science , is a leading researcher in Accessibility and Assistive Technology . His work focuses on designing technology to enhance the lives of individuals with diverse abilities, particularly through Wearable Technology , Chairables , and Non-Visual Interaction . He is affiliated with the AXLE Lab and teaches courses like Special Topics: Accessibility and Programming Usable Interfaces . Education : Ph.D. from University of Maryland, Baltimore County (2017) Dr. Carrington's research explores: Accessibility for people with visual and motor impairments Wearable and Chairable Computing for wheelchair users Non-Visual Interaction in daily activities Assistive Augmentation of existing devices His publications analyze the intersection of Ubiquitous Computing and Human Factors , including studies on Cooking , Autonomous Navigation , and LLM-based Communication Assistance for autistic workers. Scientific awards include: Best Student Paper (ASSETS 2024) Best Paper Award (Top 1%, ASSETS 2019) Best Paper Honorable Mention (Top 5%, CHI 2020, ASSETS 2018, ASSETS 2015, CHI 2014) Dr. Carrington advises students such as Yunzhi Li and Franklin (Mingzhe) Li , and his work often involves Grants from ACM and other institutions. He also contributes to Labs and Teams like the AXLE Lab, focusing on future directions in Accessible Design and Human Empowerment through Technology .

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +5 more

Alessandro Evangelista is an Assistant Professor at the Polytechnic University of Bari, Italy, within the Department of Mechanics, Mathematics & Management. His scientific-disciplinary sector is ING-IND/15, focusing on Design methods for industrial engineering. His research integrates Virtual, Augmented and Mixed Reality technologies into industrial and training contexts, with strong attention to ergonomics, safety, and human factors. Research Interests Virtual Reality (VR) and immersive simulation for industrial training and safety Augmented Reality (AR) interface design and ergonomic assessment Mixed Reality (MR) applications in product lifecycle and medical prosthesis design Human-computer interaction, cognitive workload, and age-related performance in XR systems Industry 4.0 smart maintenance and real-time data visualization Recent works repeatedly explore how immersive technologies can enhance learning outcomes, safety behaviors, and user experience across manufacturing, retail, maritime navigation and healthcare domains. Studies often adopt comparative user evaluations, ergonomic assessment protocols (e.g., RULA), and multidimensional performance metrics. Publications Trend From 2020 to 2025 Evangelista authored numerous peer-reviewed articles concentrated on immersive technologies. Major themes include: (1) VR training effectiveness for confined spaces and industrial tasks, (2) AR visualization for maintenance and navigation, (3) ergonomic and age-related factors in XR, and (4) application of cinematic VR for safety attitude change and mental-health rehabilitation. His output evidences systematic review work, empirical user studies, and tool prototyping, positioning him at the intersection of design engineering and interactive technologies. Scientific Awards & Grants No specific awards or funded projects are mentioned in the supplied material. Advising & Labs No explicit list of students or research group descriptions are provided; therefore advising activity and laboratory affiliations cannot be detailed at present.

I.V. RamakrishnanView profile

Professor

• Artificial Intelligence
• Computational Logic
• Machine Learning/Computational Logic Combination
• +2 more

I.V. Ramakrishnan is a Professor in the Department of Computer Science at Stony Brook University. His research spans Artificial Intelligence, Computational Logic, Machine Learning, Information Retrieval, and Computer Accessibility. Ph.D. in Computer Science, University of Texas at Austin (1983) His work focuses on advancing AI and machine learning to solve accessibility challenges for visually impaired users, healthcare informatics, and robotic manipulation. Key contributions include leveraging large language models for multimodal text correction, developing gesture recognition systems for blind users, and applying reinforcement learning to medical data analysis. Recent publications highlight the integration of LLMs in accessibility tools, AI-driven healthcare solutions (e.g., mortality risk prediction, physician attribution), and robotics innovations (e.g., manipulation planning, vertical farming automation). Faculty Service Award (2014) He teaches courses CSE 352 (Artificial Intelligence) and CSE 537 (AI). His research bridges theoretical and applied domains, emphasizing inclusive technology and clinical decision support systems.