جست‌وجوی استاد و پژوهشگر

Jeannette Bohgمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Jeannette Bohg is an Assistant Professor of Computer Science at Stanford University, directing the Interactive Perception and Robot Learning Lab. Previously, she was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems (2012-2017). She holds a PhD from KTH Royal Institute of Technology (Stockholm) and degrees from Chalmers University and TU Dresden. Her research focuses on perception, learning, and real-time multi-modal methods for autonomous robotic manipulation and grasping, aiming to bridge principles of human sensorimotor coordination with robotic implementation. Education: PhD in Robotics (KTH), MSc in Art & Technology (Chalmers), Diploma in Computer Science (TU Dresden) Research interests include developing goal-directed, real-time robotic systems capable of meaningful feedback for execution and learning. Key areas are dexterous manipulation, imitation learning, and cross-embodiment policy transfer. Notable contributions include the TidyBot platform and work on force-aware surgical robotics. Awards include the 2019 IEEE ICRA Best Paper Award, 2019 IEEE RA Early Career Award, and 2020 RSS Early Career Award. Her lab explores intersections of robotics, ML, and computer vision. Advising: Actively mentoring students/postdocs in manipulation, perception, and learning. Grants and collaborations span NSF, Stanford AI Lab, and industry partnerships. Future work emphasizes robust real-world deployment and human-robot collaboration. Labs/Teams: Leads the Interactive Perception and Robot Learning Lab, contributing to Stanford’s AI ecosystem. Previously managed the MPI AMD group, fostering interdisciplinary research in autonomous systems.

• Visual Analytics
• Information Visualization
• Geographic Information Science
• +۷ مورد دیگر

Jo Wood is Professor of Visual Analytics in the Department of Computer Science at City, University of London, where she has been employed since January 14, 2000. Her work bridges computer science, geographic information science, and human-computer interaction, focusing on innovative methods for visualizing complex spatial and behavioral data. Her research interests center on visual analytics , information visualization , and geovisualization , with applications in transportation, public health, crisis response, and citizen science. She investigates how interactive visual interfaces can support exploratory data analysis, decision-making, and storytelling, particularly through small multiples, faceted views, and sketch-based rendering techniques. The trends in her recent publications reflect a consistent focus on user-centered design , spatial data abstraction , and interactive exploration of multivariate datasets. Her work often integrates real-world behavioral data such as GPS tracks, cycling patterns, and crowd-sourced information to build meaningful visual narratives and support analytical reasoning. Throughout her career, Jo Wood has contributed significantly to the advancement of visual analytics through high-impact publications in top-tier venues such as IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Her collaborations with researchers like Jason Dykes and Aidan Slingsby highlight her role in a vibrant research community. She has supervised numerous research projects and mentored students in visualization and geospatial analytics, though specific names are not listed in the provided text. Her work has been supported by various research grants, particularly in domains involving urban mobility, energy modeling, and crisis informatics, though grant details are not specified here. Jo Wood has also contributed to the design of visual analytics systems for applications including disease spread modeling, bicycle-hire scheme monitoring, and persuasive technology for health and leisure, demonstrating a strong commitment to impactful, interdisciplinary research.

Tatjana Schnellمشاهده پروفایل

استاد

• Existential Psychology
• Meaning in Life
• Existential Health
• +۴ مورد دیگر

Tatjana Schnell is a Professor of Existential Psychology at MF Norwegian School of Theology, Religion and Society, where she has worked since October 2020. She also holds a fellowship at the Humanistic University Berlin (since 2024). Her professional journey includes academic training in psychology, theology, religious studies, and philosophy across Germany, the UK, and Austria, with a doctorate from the University of Trier (Germany) and habilitation from the University of Innsbruck (Austria), where she founded the Existential Psychology Lab. Education : Psychology, Theology, Religious Studies, and Philosophy from the University of Göttingen, University of London, University of Heidelberg, and University of Cambridge Degree : Doctorate in Psychology (University of Trier, Germany) Habilitation : Psychology (University of Innsbruck, Austria) Tatjana Schnell's research focuses on existential themes including meaning in life, existential health, death attitudes, alienation, and religious/spiritual/secular worldviews. Her work bridges individual psychology with societal and environmental implications, with extensive international collaborations and publications. She has authored key works like "The Psychology of Meaning in Life" (2nd ed., 2025) and "Sinn finden" (2024). Her recent publications examine pandemic psychology, existential resources in gifted adults, workplace spirituality, and meaning-based interventions for chronic pain and cancer rehabilitation. Her research projects include "Making Sense of Volunteering," "Sinnmacher - The Meaning App," and studies on existential resources in palliative care. The Tatjana Schnell website provides further details about her work. Fellow : Humanistic University Berlin (2024) Tatjana Schnell has developed innovative tools like the Sources of Meaning Card Method (SoMeCaM) and Meaning in Work Inventory (ME-Work), with validated versions across multiple cultures. Her work emphasizes the practical application of existential psychology in mental health, organizational behavior, and ecological engagement. She founded the Existential Psychology Lab at the University of Innsbruck and continues to lead impactful research at MF Norwegian School of Theology, Religion and Society.

Imre S. Szalaiمشاهده پروفایل

استاد

• Arbitration
• Federal Arbitration Act
• Dispute Resolution
• +۹ مورد دیگر

Professor Imre S. Szalai is a leading scholar in arbitration law and dispute resolution, currently serving as Professor of Law at the Elisabeth Haub School of Law at Pace University. His expertise spans arbitration, litigation, professional responsibility, and legal ethics. He is nationally recognized for his work on the Federal Arbitration Act and its impact on civil justice. University: Pace University School: Elisabeth Haub School of Law Department: Dispute Resolution Academic Rank: Professor Education: Bachelor of Arts (BA), Yale University – Double Major in Economics and Classical Civilizations JD, Columbia University School of Law – Harlan Fiske Stone Scholar Research Interests: Professor Szalai specializes in the legal, historical, and ethical dimensions of arbitration. His work critically examines the expansion of forced arbitration in consumer and employment contexts, the erosion of trial rights, and the role of arbitration in undermining accountability. He explores the historical roots of the Federal Arbitration Act and advocates for reforms that restore fairness and consent in dispute resolution. His recent scholarship delves into emerging issues such as artificial intelligence in arbitration and the impact of pop culture on legal interpretation. Publication Trends: His recent publications (2022–2025) reflect a strong focus on contemporary challenges in arbitration law, including the #MeToo movement's influence on forced arbitration, AI-driven dispute resolution, the role of the Supreme Court in shaping arbitration policy, and high-profile cases involving Ticketmaster and Taylor Swift. His work combines doctrinal analysis, historical inquiry, and policy critique, often drawing from media and cultural references to make complex legal issues accessible. Scientific Awards: Harlan Fiske Stone Scholar, Columbia Law School Advising and Grants: Professor Szalai actively collaborates with students on amicus briefs and scholarly work. While specific grant funding is not detailed in the provided text, his extensive publication record and media engagements suggest sustained scholarly support. He mentors students in legal research, writing, and advocacy, particularly in the areas of arbitration and civil rights. Labs, Teams, and Initiatives: He maintains a public blog on arbitration law developments, where he analyzes recent court decisions, legislative changes, and policy debates. This platform serves as an educational resource and contributes to public discourse on arbitration reform. He also participates in academic and professional networks focused on dispute resolution and legal ethics.

David Abbinkمشاهده پروفایل

استاد

• Human-Robot Interaction
• Haptics
• Shared Control
• +۷ مورد دیگر

Professor David Abbink is a Full Professor of Haptic Human-Robot Interaction at Delft University of Technology, holding a joint appointment between the Department of Cognitive Robotics in the Faculty of Mechanical Engineering and Industrial Design Engineering since November 2023. He founded the Delft Haptics Lab and co-founded the Cognitive Robotics Department in 2017. Abbink leads the transdisciplinary research and innovation centre FRAIM, which was awarded the prestigious NWO Stevin Premie (Dutch Nobel Prize equivalent) in June 2024. Trained as a mechanical engineer specializing in biomechanics, Abbink's research focuses on human behavior adaptations when interacting with autonomous systems. He has published over a hundred scientific articles on human-robot interaction, haptics, shared control, tele-operation, driver assistance systems, and sensorimotor control. His research has been funded by industry partners (Nissan, Boeing, Renault), RVO (Brightsky project 2022-2026), and the Dutch Science Foundation NWO through personal grants (VENI 2010-2014, VIDI 2015-2019). Abbink's recent work centers on worker-robot relations as an academic focus, collaborating with organizations like Erasmus Medical Centre for nursing work, Schiphol and KLM for baggage handling, and KLM Engine Repair Services for maintenance work. He also serves as scientific director for the Centre for Meaningful Human Control, launched in October 2024. His work bridges engineering, social sciences, and practical applications to responsibly shape the future of work with emerging robotic capabilities. NWO Stevin Premie (2024) Best IEEE SMC journal paper on Cybernetics (2019) Top 25 scientific talents according to New Scientist (2015) Best teacher of Faculty 3mE (2013, 2014) Best teacher of Department of BioMechanical Engineering (seven consecutive years) Abbink has supervised over 110 MSc students and 11 PhD students. His educational contributions include developing the Master Programme in Robotics at TU Delft and receiving international recognition for his course 'The Human Controller.' He is also a prominent science communicator, featured on national television, radio, and major Dutch newspapers, and has delivered lectures at venues like The Royal Institution and Lowlands Festival. Despite his academic commitments, Abbink maintains a drummer persona, having recorded four albums and performed over 400 shows across three continents between 1999-2014.

• Artificial Intelligence
• Machine Learning
• Data Integration
• +۳ مورد دیگر

Prof. Geert-Jan P.M. Houben is a Professor at Delft University of Technology's Web Information Systems Department within the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on AI ethics, machine learning, data integration, and decision support systems. He has published over 165 works and supervised 24 students. Notable contributions include frameworks for meaningful human control in AI systems and methodologies for bias mitigation in data-driven systems. Editorial roles: Editor for CEUR-WS, Springer, and other publishers since 2012 Awards: Royal Honours from TU Delft (2025) Research emphasizes ethical AI, data engineering, and scalable systems. Recent work addresses AI governance, bias in analytics, and interactive data discovery in modern data ecosystems. He actively contributes to conferences like ACM Web Science and VLDB.

José Ramón Yela Bernabéمشاهده پروفایل

استاد

• Clinical Psychology
• Health Psychology
• Mindfulness
• +۷ مورد دیگر

José Ramón Yela Bernabé is a Professor at the Faculty of Psychology, Pontifical University of Salamanca, specializing in Basic Psychology. He leads the research group 'Evaluation and intervention in psychological well-being and health' and has been actively contributing to the fields of clinical and health psychology for over three decades. Education: PhD in Psychology from Universidad Pontificia de Salamanca (1994) - Thesis: 'Learned helplessness in humans (effects of exposure to uncontrollable aversive stimuli and reversal of deficits based on the variables percentage of reinforcement, sequence of failures and attributional instructions)' supervised by Dr. José Luis Marcos Malmierca Research Interests: His research spans multiple interconnected domains within psychology, with particular emphasis on mindfulness-based interventions and self-compassion training . He has extensively investigated the mechanisms through which these approaches improve psychological well-being and reduce symptoms of anxiety and depression. His work also encompasses learned helplessness phenomena, eating disorders particularly bulimia nervosa, stress reduction interventions , and the role of meaning in life as a protective factor for mental health. Additionally, he explores emotional regulation processes and their impact on psychological outcomes across various populations. Research Trends: Recent publications demonstrate a clear shift toward mindfulness and self-compassion interventions , with systematic evaluations of programs like Mindfulness-Based Stress Reduction (MBSR) and Mindful Self-Compassion (MSC). His work increasingly focuses on meta-analytic approaches to establish evidence bases for psychological interventions. There is also notable attention to specialized populations including mental health professionals, parents of children with chronic illnesses, and individuals with behavioral addictions. Scientific Recognition: While specific awards are not mentioned in the provided text, his extensive publication record spanning from 1987 to 2025, with particular productivity in recent years (2020-2025), demonstrates sustained scholarly impact in clinical and health psychology. Contact Information: Email: jryelabe@upsa.es Research Group: He leads the Evaluation and intervention in psychological well-being and health research group, which focuses on developing and evaluating evidence-based psychological interventions to enhance well-being and address mental health challenges across diverse populations.

Alberto Monge Roffarelloمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Digital Wellbeing
• End-User Development
• +۷ مورد دیگر

Alberto Monge Roffarello is an Assistant Professor (RTDb) at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, where he is a member of the e-Lite Research Group. He teaches courses including Human-AI Interaction, Digital Wellbeing, and Web Applications across multiple degree programs such as Computer Science and Systems Engineering, Computer Engineering, and Film and Media Engineering. His research centers on Human-Computer Interaction, with a strong focus on Digital Wellbeing and End-User Development in the Internet of Things . He investigates how users can personalize smart environments through trigger-action programming and how design patterns in digital interfaces—such as Infinite Scroll and Never-Ending Autoplay—exploit psychological vulnerabilities to capture attention. His work aims to empower users with tools for self-control, meaningful interaction, and habit mitigation. The recent publications highlight a consistent trajectory in digital self-control tools , attention-aware design , and semantic recommendation systems for IoT. His research bridges theoretical analysis with practical tools, including conversational agents (HeyTAP), debugging platforms (EUDebug, My IoT Puzzle), and ontologies (EUPont) to lower the barrier for non-technical users. Scientific contributions include: Systematic review of digital self-control tools (TOCHI 2022) Typology of Attention-Capture Damaging Patterns (CHI 2023) Design frameworks for meaningful interactions (AVI 2022) Behavioral interventions for smartphone habits (TiiS 2021) He actively supervises PhD students—Francesca Russo, Robert Everett Schwartz, and Luca Scibetta—on topics ranging from AI for education to digital wellbeing in high-schools. His work is supported by competitive research projects such as EMPATHY - Empathetic Mobility Platform . He has contributed to multiple national and international collaborations, notably with Santa Clara University (USA). Alberto leads and participates in research initiatives within the e-Lite - Intelligent and Interactive Systems group, focusing on intelligent interfaces, user empowerment, and ethical design. His lab develops tools that translate high-level user intentions into executable IoT rules, promote digital literacy, and support conscious technology use.

Daryl Fougnieمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Visual Perception
• Visual Attention
• +۵ مورد دیگر

Daryl Fougnie is an Associate Professor of Psychology and Global Network Associate Professor at New York University Abu Dhabi. He is a core faculty member in the Department of Psychology within the College of Arts and Science, actively conducting research and teaching undergraduate courses in cognitive psychology. His research focuses on the fundamental limits of human cognition, particularly in visual perception, attention, and memory. Through psychophysics and computational modeling, the Fougnie Lab investigates how the brain processes and retains visual information, exploring questions about capacity limits, the nature of mental representations, and the interaction between attention and memory. Key areas include visual working memory, attentional selection, retro-cueing, and memory-guided behavior. The 15 most recent publications reflect a strong thematic focus on the probabilistic and resource-constrained nature of working memory, the strategic control of attention, and the neural and cognitive mechanisms underlying perception and memory. Research often employs innovative paradigms such as betting games and reproduction tasks to probe internal representations and decision-making processes. NYUAD Research Enhancement Fund NYUAD Research Enhancement Fund Daryl Fougnie mentors undergraduate students in the Fougnie Lab and supervises capstone research projects in psychology. His lab is actively funded, as evidenced by repeated Research Enhancement Fund awards, and collaborates widely with researchers such as Kartik Sreenivasan, Clay Curtis, and Edyta Sasin. The lab is currently recruiting postdoctoral researchers, indicating ongoing and expanding research activity. The Fougnie Lab at NYU Abu Dhabi serves as a hub for cognitive science research, integrating experimental psychology with computational approaches. It provides research opportunities for undergraduates and fosters collaboration across disciplines, contributing significantly to the understanding of human cognitive architecture.

• Natural Language Processing
• Explainable AI
• Fact-Checking
• +۴ مورد دیگر

Isabelle Augenstein is a Professor at the University of Copenhagen, Department of Computer Science (DIKU), where she heads the Copenhagen Natural Language Understanding (CopeNLU) research group and the Natural Language Processing section. She is also a co-lead of the Danish Pioneer Centre for Artificial Intelligence, Denmark's largest research center initiated by the Danish Ministry of Higher Education and Science. In October 2022, she became Denmark's youngest ever female full professor. Dr. Augenstein earned her undergraduate degree in Computational Linguistics and Psychology from Heidelberg University, followed by a Master's in Computational Linguistics. She completed her PhD in Computer Science at the University of Sheffield under the supervision of Dr. Diana Maynard and Prof. Fabio Ciravegna. In 2021, she earned a Habilitation at the University of Copenhagen in Explainable Fact-checking. Professor Augenstein's primary research focuses on fair and accountable Natural Language Processing, with particular emphasis on explainability, factuality, and bias detection. Her work spans multiple subfields including automated fact-checking, stance detection, gender bias analysis, and cultural bias in language models. She has pioneered research in explainable fact-checking, developing methods that not only predict claim veracity but also provide meaningful explanations of the decision-making process. Her research group has produced numerous influential papers on measuring model fragility, quantifying gender biases, and developing robust fact-checking systems that account for distribution shifts. Her significant contributions have been recognized with several prestigious awards: ERC Starting Grant on 'Explainable and Robust Automatic Fact Checking' DFF Sapere Aude Research Leader fellowship on 'Learning to Explain Attitudes on Social Media' Karen Spärck Jones Award from the British Computing Society and Bloomberg Hartmann Diploma Prize from the Hartmann Foundation Member of the Royal Danish Academy of Sciences and Letters since 2024 Professor Augenstein has secured significant research funding including her ERC Starting Grant supporting five years of blue-sky research. She actively mentors PhD students and postdoctoral researchers through her 'ExplainYourself' project. She served as President of SIGDAT (which organizes the EMNLP conference series), having previously held leadership roles as Vice President and Vice President-Elect. She is a co-founder of Widening NLP (WiNLP), an initiative to increase diversity in the NLP community, and maintains the BIG Directory of underrepresented groups in NLP. She leads the Copenhagen Natural Language Understanding (CopeNLU) research group, which relocated to the historic Østervold Observatory in Copenhagen's Botanical Gardens in 2023. The group focuses on developing methods for explainable and robust natural language understanding, with applications in fact-checking, bias detection, and social media analysis. Professor Augenstein also co-leads the Speech and Language collaboratory at the Pioneer Centre for Artificial Intelligence, where her team investigates how language models can better serve diverse populations while maintaining accountability and transparency.

Andrew Halesمشاهده پروفایل

استادیار

• Social Ostracism
• Social Influence
• Persuasion
• +۳ مورد دیگر

Andrew Hales is an Assistant Professor in the Department of Psychology within the College of Liberal Arts at the University of Mississippi. His research focuses on social ostracism and social influence, examining the psychological consequences of exclusion and recovery mechanisms through experimental methods. Dr. Hales earned his Ph.D. in Psychology from Purdue University Main Campus in 2017. His primary research explores why exclusion causes distress, individual differences in ostracism vulnerability, and strategies for emotional recovery. He also investigates broader social influence processes including persuasion, self-presentation, and compliance techniques, while advocating for research replicability and transparency in psychological science. His recent publications (2023-2025) consistently examine ostracism across diverse contexts including workplace ghosting, digital phubbing, group dynamics, and extremism. A dominant theme connects ostracism to extreme group affiliation, highlighting how threatened fundamental needs (belonging, self-esteem, control, meaningful existence) drive individuals toward radical ideologies. His work integrates systematic reviews with experimental validation to advance theoretical frameworks. Dr. Hales actively mentors students as evidenced by his current review of applications for the Experimental Ph.D. Program. He directs the Social Connections and Influence Lab, which employs controlled experiments to study both target and perpetrator perspectives in exclusion scenarios, utilizing measures of affective response, behavioral intentions, and physiological reactivity.

Jayesh Pillaiمشاهده پروفایل

دانشیار

• Immersive Media Design
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Dr. Jayesh Pillai is an Associate Professor at the IDC School of Design, Indian Institute of Technology Bombay, specializing in immersive media design, virtual reality, and augmented reality technologies. His work bridges the gap between design, technology, and storytelling, with a focus on creating meaningful user experiences in virtual environments. His research interests include: Immersive Media Design Virtual Reality & Augmented Reality Visual & Interactive Storytelling Interaction Design Dr. Pillai teaches courses in Design for Virtual Reality, Immersive Media Design, Interaction Design, and Trends in Interactive Technologies at the MDes level, as well as Digital Media Technologies at the BDes level. He has developed educational content through D'Source, including "Virtual Reality: Introduction." His recent publications demonstrate a strong focus on VR narrative techniques, AR educational applications, and social interactions in virtual spaces. His work explores audio-visual cues in 6DoF VR, interactive storytelling through digital game design, and the application of AR in mathematics education and vocational training. Dr. Pillai's research consistently examines how immersive technologies can enhance user experience, learning, and social connection. Dr. Pillai is the creator of "Cinévoqué," a form of responsive VR Cinema where storylines are driven by the viewer's point of interest, and has directed VR films including "Dragonfly" (2018) and "Manhole" (2022), which has been officially selected at multiple international film festivals. He leads the IMXD Lab at IIT Bombay, where his team conducts cutting-edge research in immersive media and interaction design. His work has been presented at major conferences including ACM SIGGRAPH, IEEE VR, and INTERACT.

Luciano Cavalcante Siebertمشاهده پروفایل

استادیار

• Responsible Artificial Intelligence
• Ethical Artificial Intelligence
• Human-AI Interaction
• +۴ مورد دیگر

Luciano Cavalcante Siebert is an Assistant Professor at the Interactive Intelligence Group within the Intelligent Systems department of the EEMCS faculty at Delft University of Technology. His research focuses on Responsible Artificial Intelligence, developing hybrid methods that combine machine learning and symbolic approaches to ensure AI systems remain under meaningful human control within sociotechnical contexts. His educational background includes: B.Sc. in Mechatronics from Pontifical Catholic University of Paraná (PUCPR) M.Sc. and Ph.D. in Electrical Engineering from the Federal University of Paraná (UFPR), Brazil During his Ph.D., he was a guest researcher at Eindhoven University of Technology (TU/e), and prior to his current position, he served as a postdoc at TU Delft's AiTech initiative. Professor Siebert's research program is structured around four pillars: (1) eliciting and aligning with human values and norms, (2) incorporating ethical principles into AI, (3) enabling interactive human control and responsibility mechanisms, and (4) adapting to emergent societal norms. His interdisciplinary work bridges computer science, ethics, and social sciences, with applications in robotics, optimization, and automation. With over eight years of research experience, he develops practical frameworks for human-centered AI that prioritize societal benefit and accountability. Based at TU Delft's campus in Delft, Netherlands, Siebert actively contributes to the Interactive Intelligence Group's mission of advancing intelligent systems that empower humans and enhance societal well-being through responsible innovation.

• Ethics
• AI Ethics
• Conceptual Engineering
• +۳ مورد دیگر

Dr. H.M. Veluwenkamp is a Lecturer at the University of Groningen's Faculty of Philosophy, specializing in Ethics, Social and Political Philosophy. His affiliations include the Ethics Committee for Data and Technology at the Municipality of Groningen, the Centre for Meaningful Human Control in Delft, and the NTA Committee on Risk Profiling Algorithms. He is also a Jantina Tammes School Scholar and a member of the Humane AI Sector Plan. His research focuses on Conceptual Engineering, Meaningful Human Control in technology, and Responsibility Gaps in AI systems. He explores how philosophical methodologies can address ethical challenges posed by emerging technologies like AI and disruptive algorithms. His recent articles emphasize ethical design principles for autonomous systems, responsibility frameworks for AI, and the integration of conceptual engineering with value-sensitive design. His work bridges theoretical philosophy with applied ethics, reflecting a commitment to socially responsible technological development. Veluwenkamp teaches courses such as Ethics of AI, Social Contract Theory, and Practical Philosophy, contributing to academic training in applied ethics and social-political philosophy.

• Audio-Visual Interface Design
• Sound Synthesis
• Cymatics and Sound Visualization
• +۶ مورد دیگر

Dr Gregory Leplatre serves as a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He is actively involved with two major research groups: the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems. His work spans across multiple interdisciplinary domains where technology meets human experience. Leplatre's research interests focus on the intersection of sound, visualization, and human interaction. He has made significant contributions to audio-visual interface design, particularly in developing tools that translate sound into visual representations through cymatics. His work extends to therapeutic applications, especially in using real-time 3D graphics to enhance music therapy sessions for individuals on the autism spectrum. Leplatre also investigates speech articulation, soundscape mapping, and multimodal interfaces that create natural cross-modal mappings between visual inputs and sound synthesis. His publication record reveals a consistent trajectory exploring how visual representations of sound can enhance user experience and therapeutic outcomes. Over the past decade, his research has increasingly focused on therapeutic applications for autism spectrum disorder, while maintaining strong foundations in sound synthesis techniques and interface design principles. The work demonstrates a progression from theoretical exploration of audio-visual correspondences to practical implementations with real-world impact. As an academic supervisor, Leplatre has directed or co-supervised numerous doctoral projects, including research on sketching interfaces for sound synthesis, real-time 3D graphic augmentation of music therapy, and emotion recognition in conversational agents. His grant portfolio includes projects like 'Micro-phonics' funded by the Scottish Funding Council and 'Personalisation and the ATM' funded by Innovate UK, demonstrating his ability to secure research funding across different domains. Within the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems, Leplatre contributes to a vibrant research ecosystem focused on creating meaningful human-computer interactions through innovative visualization and sound techniques. His work bridges artistic expression with technical innovation, creating tools that make sound visible and tangible for both therapeutic and creative purposes.