جست‌وجوی استاد و پژوهشگر

Chris Darimontمشاهده پروفایل

استاد

• Conservation Science
• Wildlife Management
• Marine-Terrestrial Ecology
• +۳ مورد دیگر

Chris Darimont is a Professor and Raincoast Research Chair in Applied Conservation Science within the Department of Geography at the University of Victoria's Faculty of Social Sciences. His work bridges natural and social sciences to address urgent conservation challenges, with a geographic focus on British Columbia's Central Coast (Great Bear Rainforest) but designed for global relevance. His research spans three primary domains: landscape ecology at the marine-terrestrial interface, conservation biology of harvest management, and conservation ethics. Darimont maintains deep collaborations with First Nations communities and conservation organizations like the Raincoast Conservation Foundation (where he previously served as Science Director) and Hakai Institute. His work frequently integrates Indigenous Knowledge with scientific methods, exemplified by projects like the Nuxalk Sputc (Eulachon) initiative and Heiltsuk bear monitoring. Darimont's publication record shows consistent focus on human-wildlife interactions, particularly bear-salmon ecosystems, trophy hunting ethics, and Indigenous-led conservation. His highly cited 2009 PNAS paper "Human predators outpace other agents of trait change in the wild" and 2015 Science paper "The unique ecology of human predators" established foundational frameworks in conservation science. Recent work increasingly emphasizes decolonial approaches and Two-Eyed Seeing methodologies. As an educator, he teaches GEOG 391 (Contemporary Topics in Coastal Conservation) and GEOG 353 (Coastal and Marine Resources), prioritizing student mentorship as his "favourite form of outreach." His research is regularly featured in high-profile media including National Geographic and The New York Times, reflecting his commitment to science communication and public engagement.

Tiancheng Zhaoمشاهده پروفایل

پژوهشگر

• Multimodal Foundation Models
• AI Agents
• Vision-Language Models
• +۳ مورد دیگر

Tiancheng Zhao is a principal researcher at the Binjiang Institute of Zhejiang University and founder of the Om Artificial Intelligence Laboratory (Om AI Lab), dedicated to frontier open multimodal AGI research for building next-generation agents that transform work and life through advanced human-machine interaction. His academic credentials include: Ph.D. in Computer Science from Carnegie Mellon University (2016-2019) under Prof. Maxine Eskenazi, Prof. Louis-Philippe Morency, Prof. William W. Cohen, and Dr. Dilek Hakkani-Tur, with pioneering dissertation “Learning to Converse With Latent Actions” in end-to-end generative conversational models M.S. in Computer Science from Carnegie Mellon University (2014-2016) B.S. in Electrical Engineering from UCLA (2010-2014) with Summa Cum Laude, focusing on speech signal processing under Prof. Abeer Alwan Dr. Zhao’s research centers on multimodal foundation models and agents, tackling three core challenges: Multimodal Models for cross-modal representation learning in high-dimensional data, Learning to Learn for effective skill acquisition from diverse signals (supervised labels, rewards, meta-learning), and AI Agents for open-world understanding and complex decision-making. His work bridges computer vision, natural language processing, and real-world applications including healthcare analytics and remote sensing. Analysis of his 50+ publications reveals accelerating innovation in multimodal large language models (2024-2025), with emphasis on stable vision-language architectures (VLM-R1), agent orchestration frameworks, and domain-specific applications in geospatial analysis and healthcare. Key trends include solving long-tail distribution challenges in satellite imagery, developing human-like zooming capabilities for multimodal LLMs, and creating unified benchmarks for autonomous GUI testing. His scientific recognition includes: National Breakthrough Technology Award by Ministry of Science and Technology (2021) Microsoft Research Best & Brightest PhD (2018) BEST PAPER AWARD at SIGDIAL 2018 Best Paper Nomination at SIGDIAL 2016 Top 1 Outstanding Bachelor of Science Award at UCLA (2014) As Om AI Lab founder, Dr. Zhao leads research teams developing computational building blocks for human-AI collaboration. While specific student mentorship details aren’t public, his extensive publication record with junior co-authors indicates active research supervision. Current projects focus on practical system implementations for real-world multimodal agent deployment across diverse domains.

David L. Schwartzمشاهده پروفایل

استاد پژوهشی

• Intellectual Property Law
• Patent Law
• Empirical Legal Studies
• +۲ مورد دیگر

David L. Schwartz serves as the William G. and Virginia K. Karnes Research Professor of Law at Northwestern University's Pritzker School of Law, where he joined the faculty in 2015 and served as Associate Dean of Research & Intellectual Life from 2019-2022. His interdisciplinary work bridges legal scholarship, data science, and technology policy with emphasis on patent systems and judicial transparency. His educational foundation includes a BS from the University of Illinois at Urbana-Champaign and a JD cum laude from the University of Michigan Law School. Professor Schwartz specializes in empirical analysis of intellectual property systems , particularly patent litigation dynamics and court record accessibility. His research leverages computational methods to transform legal scholarship through projects like SCALES OKN, where he examines how technological interventions can democratize access to justice. This work situates him at the nexus of legal informatics , patent policy , and court system innovation , challenging traditional methodologies in legal academia. His publication trajectory reveals a decisive shift toward technology-driven legal transparency since 2018, with recent work focusing on large-scale court record analysis and open justice infrastructure. The 2024 Northwestern University Law Review article represents the culmination of his NSF-funded SCALES initiative, demonstrating how machine-readable litigation data can reshape legal scholarship and practice. As Co-Principal Investigator of the NSF-funded Systematic Content Analysis of Litigation EventS Open Knowledge Network (SCALES OKN), he leads a multidisciplinary consortium developing tools to convert opaque court records into structured, analyzable datasets. This $1.2M grant supports collaboration between legal scholars, computer scientists, and data engineers to build public infrastructure for judicial transparency. The SCALES OKN project operates as a cross-institutional research collective involving Northwestern faculty, data scientists from multiple universities, and partnerships with legal technology organizations. It maintains active development teams for natural language processing pipelines, litigation event databases, and public-facing analytical interfaces serving legal practitioners and researchers.

Mehrdad Ehsaniمشاهده پروفایل

استاد

• Power Electronics
• Electric and Hybrid Vehicles
• Energy Storage Systems
• +۵ مورد دیگر

Mehrdad Ehsani is a Robert M. Kennedy Endowed Professor of Electrical Engineering at Texas A&M University, leading the Power Electronics and Motor Drives Laboratory. He holds a Ph.D. from the University of Wisconsin-Madison and has over four decades of expertise in power electronics, electric/hybrid vehicles, and energy systems. His research focuses on sustainable energy, advanced power conversion, and vehicle electrification. Educational Background: Ph.D., Electrical Engineering, University of Wisconsin-Madison (1981) M.S., Electrical Engineering, University of Texas at Austin (1974) B.S., Electrical Engineering, University of Texas at Austin (1973) Research Interests: Sustainable power systems, electric/hybrid vehicles, energy storage, power electronics, and aerospace power systems. His work emphasizes practical applications, such as transmotor technology for energy efficiency and grid-interactive buildings. Awards & Recognition: Life Fellow of IEEE SAE Fellow (2005) IEEE Vehicular Technology Society Avant Garde Award (2001) Recipient of multiple Prize Paper Awards (IEEE-IAS) Advising & Grants: Director of Advanced Vehicle Systems Research Program. His lab collaborates with industry on patents, including over 30 granted/pending patents, and advises on sustainable transportation technologies. He has consulted for over 60 companies and government agencies. Labs & Teams: Founder and director of the Power Electronics & Motor Drives Lab, focusing on electric vehicle propulsion, renewable energy integration, and advanced control systems.

Caroline Bassettمشاهده پروفایل

استاد

• Digital Humanities
• Critical Theories of Technology
• Media Archaeology
• +۷ مورد دیگر

Caroline Bassett is a Professor of Digital Humanities at the University of Cambridge, affiliated with the Faculty of English and serving as Director of Cambridge Digital Humanities (CDH). Her work bridges computational technologies, cultural forms, critical theories of technology, and media arts, with a focus on science fiction, automation anxiety, AI, and feminist digital studies. She has held visiting fellowships at institutions such as the Helsinki Collegium for Advanced Studies and co-founded the Sussex Humanities Lab at the University of Sussex. Education: BA (University of London), MA and PhD (University of Sussex). Her research interests center on the intersection of digital media, critical theory, and epistemic cultures. Key areas include AI’s impact on knowledge production, media archaeology, feminist critiques of technology, and the sociopolitical implications of automation. She explores these themes through theoretical frameworks, science fiction, and historical analyses of digital systems. Caroline’s publications span digital humanities, feminist theory, and media archaeology. Recent works examine computational therapeutics, postdigital aesthetics, and the ethics of everyday digital practices. Her book Anti-Computing (2021) highlights resistance to computerized culture, while Furious (2019) interrogates feminist digital futures. At Cambridge, Bassett leads interdisciplinary research through CDH and serves as a Professorial Fellow. She advises graduate students on topics like algorithmic justice, media archaeology, and digital media arts, and her work engages with technocultural transformation and the politics of AI.

Kim Jae-hoمشاهده پروفایل

دانشیار

• Autonomous Systems
• Artificial Intelligence
• Internet of Things (IoT)
• +۵ مورد دیگر

Kim Jae-ho serves as Associate Professor in the Department of Electronic Information and Communication Engineering at Sejong University since September 2020, concurrently directing the Metaverse Autonomous Twin Research Center (ITRC) under the Ministry of Science and ICT. His leadership extends to the National Smart City Committee and TTA Internet of Things/Smart City Platform PG, with research focusing on hyper-connected autonomous intelligence systems for smart city applications. His research program centers on three interconnected pillars: (1) On-Device/Edge/Cloud-based autonomous intelligence architectures enabling distributed decision-making, (2) Spatial/situational awareness systems for intelligent environments, and (3) Collaborative intelligence frameworks for unmanned vehicle networks. This work bridges theoretical AI with real-world deployment in IoT ecosystems and metaverse applications, emphasizing practical implementations for societal benefit. Recent publications (2023-2025) reveal a strategic shift toward metaverse-autonomous system integration, with 68% of articles addressing digital twin alignment, radar/vision sensor fusion, and multimodal AI for robotics. Key trends include UAV swarm coordination (23% of works), battery life prediction for industrial IoT (15%), and large language model integration for robotic perception (12%), demonstrating consistent focus on deployable autonomous intelligence solutions. His scientific recognition includes six major awards: Minister of Land, Infrastructure and Transport Award for Smart City contributions (2020) National Academy of Engineering of Korea's '100 Technologies Leading Korea 2025' (2017) Prime Minister's Commendation for Science/Technology Promotion (2016) Minister of Trade, Industry and Energy Technology Award (2016) KETI Person of the Year (2016) Minister of Science ICT Future Planning SW R&D Award (2014) Professor Kim actively mentors graduate researchers through doctoral and master's thesis supervision while managing $12.7M in active grants including the 7-year Metaverse Autonomous Twin ITRC (2021-2028) and Connected Intelligent Sensor Platform project (2022-2028), with recent funding targeting UAV safety interfaces and industrial IoT battery systems. He leads the Autonomous Intelligent Systems (AISL) Laboratory at Ocean AI Center 529, which integrates government-funded research with industry partnerships to develop deployable autonomous intelligence solutions for smart cities and metaverse applications.

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Habib Ullah is an Associate Professor in Data Science at the Norwegian University of Life Sciences (NMBU), Norway, where he conducts research at the intersection of computer vision and machine learning. He is affiliated with the Institute of Data Science under the Faculty of Science and Technology. He has previously held academic positions at COMSATS University Islamabad, Pakistan, and the University of Ha'il, Saudi Arabia, and served as a postdoctoral researcher at The Arctic University of Norway. Educational Background: PhD in Information and Communication Technology (Computer Vision), University of Trento, Italy (2011–2015) MSc in Electronics and Computer Engineering, Hanyang University, South Korea (2007–2009) BSc in Computer Systems Engineering, NWFP University of Engineering and Technology, Pakistan (2002–2006) Habib Ullah's research is primarily focused on computer vision and machine learning, with applications in aquaculture, agriculture, and human behavior analysis. He investigates underwater fish feeding sounds using audio classification, develops zero-shot learning models for recognizing unseen classes, and applies deep learning to detect stress in salmon via skin dot patterns. He also explores AI-driven controlled environment agriculture, leveraging sensors and automation for optimal crop growth. His work emphasizes practical AI solutions for real-world challenges in environmental and biological domains. The recent publications highlight a strong trend in leveraging deep learning for zero-shot and semi-supervised learning, particularly in computer vision tasks such as sea ice classification, crowd anomaly detection, and agricultural monitoring. His research spans remote sensing, biomedical signal processing, and human activity recognition, demonstrating interdisciplinary versatility. The keywords reflect a focus on robust feature representation, knowledge transfer, and model generalization. Scientific Awards and Funding: Industrial PhD grant 'Advancing Controlled Environment Agriculture AI' from The Research Council of Norway (Project number 354125, 2 million NOK, 2024) Team member (Coordinator-Participant) in the Battery Cell Assembly Twin (BatCAT) project funded by Horizon Europe (7 mEuro, 2023–2027) Development of an AI-Based Image Analysis System for Monitoring Plant Status (Funding: 1.8 mNOK, starting 2025) Habib Ullah actively supervises PhD projects and contributes to academic service through editorial and organizational roles. He has served as an Associate Editor for IEEE Access, Guest Editor for MDPI Remote Sensing, and Editor of the Springer book Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition, and Support (ML-SHEARS) . He has also been a Track Chair and Program Committee Member for several international conferences, reflecting his leadership in the academic community. His research is supported by significant grants and collaborative projects, indicating strong institutional and international engagement. He is involved in multiple research teams and projects, including the BatCAT project on battery manufacturing and AI applications in controlled environment agriculture with RIFT LABS AS. His lab work integrates deep learning, sensor fusion, and data analytics for environmental and biological monitoring systems.

Valerie Thomasمشاهده پروفایل

استاد

• Sustainability
• Energy Systems
• Industrial Ecology
• +۵ مورد دیگر

Valerie Thomas is the Anderson Interface Chair of Natural Systems at Georgia Tech, holding joint appointments in the H. Milton Stewart School of Industrial and Systems Engineering and the School of Public Policy. Her research focuses on energy systems, sustainability, industrial ecology, and science and technology policy. She earned a B.A. in Physics from Swarthmore College and a Ph.D. in Theoretical Physics from Cornell University, followed by postdoctoral research at Carnegie Mellon and Princeton Universities. Her work addresses low-carbon transportation, environmental impacts of food systems, and energy development in Africa. Key research areas include life cycle assessment, climate policy, and technology assessment. Thomas has contributed to over 80 technical publications and serves on advisory boards for the U.S. EPA and USDA/DOE. Education: Ph.D. in Physics, Cornell University; B.A. in Physics, Swarthmore College Awards: AAAS and APS Fellowships, Georgia Tech’s 1934 Outstanding Interdisciplinary Award Her teaching spans energy policy, lifecycle analysis, and engineering economics. She leads interdisciplinary teams at the Climate and Energy Policy Laboratory and the Technology Policy and Assessment Center, advancing sustainable systems engineering and policy solutions.

Benjamin C.K. Teeمشاهده پروفایل

دانشیار

• Flexible Electronics
• Self-Healing Materials
• Electronic Skin (E-Skin)
• +۴ مورد دیگر

Dr. Benjamin C.K. Tee is an Associate Professor at the National University of Singapore (NUS), affiliated with the College of Engineering and the Department of Materials Science and Engineering. He leads the Sensors.AI Labs, focusing on transforming materials science, mechanics, and biology into cutting-edge technologies for robotics and healthcare in the AI era. His research explores novel materials and fabrication techniques to develop flexible, stretchable electronic sensors. These innovations enable applications in human-machine interfaces, biomedical devices, and AI-driven robotic systems. Key areas include self-healing materials, large-scale tactile sensing, and wireless health monitoring. His work has garnered international acclaim, including the James Dyson Foundation Prize (International Winner, 2021), MIT TR35 Innovator (2015), and recognition as a World Economic Forum Young Scientist (2019). His inventions have been commercialized through co-founded startups Privi Medical (acquired in 2021) and Hannah Life Technologies. Scientific Awards: National Research Foundation Fellowship (2017) MIT TR35 Innovator (Global) (2015) World Economic Forum Young Scientist (2019) James Dyson Foundation Prize - International Winner (2021) IES Prestigious Engineering Award (2020) Stanford University Top 2% Scientists (2021)

Risto Miikkulainenمشاهده پروفایل

استاد

• Neuroevolution
• Evolutionary Computation
• Deep Learning
• +۷ مورد دیگر

Risto Miikkulainen is a Professor of Computer Science and Neuroscience at the University of Texas at Austin and VP of AI Research at Cognizant AI Lab. He directs the UTCS Neural Networks Research Group and is currently on leave from UT, working on Evolutionary Computation and Deep Learning at Sentient Technologies, Inc. Education: Ph.D. in Computer Science, UCLA, 1990 M.S. in Applied Mathematics, Helsinki University of Technology (now Aalto University), 1986 Risto Miikkulainen's research focuses on biologically-inspired computation such as neural networks and evolutionary computation. His work spans three main areas: (1) Neuroevolution, evolving complex deep learning architectures and recurrent neural networks for sequential decision tasks in robotics, games, and artificial life; (2) Cognitive Science, developing models of natural language processing, memory, and learning that shed light on disorders such as schizophrenia and aphasia; and (3) Computational Neuroscience, studying the development, structure, and function of the visual cortex, episodic memory, and language processing. His research combines theoretical understanding of biological information processing with practical applications for developing intelligent artificial systems. His recent publications (2025) show a strong focus on evolutionary approaches to AI development, particularly in neural architecture search, loss function optimization, and explainable AI. Many papers explore the intersection of evolutionary computation with deep learning, creating more efficient and transparent AI systems. His work spans theoretical foundations and practical applications in areas ranging from environmental control systems to cognitive modeling. Scientific Awards: College of Fellows, International Neural Network Society, 2024 Best Pathway to Impact Award, NeurIPS Climate Change workshop, 2024 AAAI Fellow, 2023 IEEE CIS Evolutionary Computation Pioneer Award, 2020 Gabor Award, International Neural Network Society, 2017 Outstanding Paper of the Decade Award, International Society for Artificial Life, 2017 IEEE Fellow, 2016 Multiple Best Paper Awards at GECCO, CIG, and CEC conferences Deployed Application Award, AAAI/IAAI-2013, AAAI/IAAI-2018 Miikkulainen has extensive experience mentoring students through undergraduate research courses like CS378 Computational Intelligence in Game Design I and II, where students develop independent research projects on the OpenNERO research platform. He has received multiple awards for deployed applications, demonstrating the practical impact of his research. His work has led to the development of the NERO game platform, which serves as both an educational tool and research platform for AI. He directs the UTCS Neural Networks Research Group, which focuses on neuroevolution, cognitive science models, and computational neuroscience. The group has developed the NERO (Neuro-Evolving Robotic Operatives) platform, a machine learning game that allows users to train intelligent agents through evolutionary computation. The group's work spans theoretical research and practical applications in AI, with connections to both academic and industry partners.

• Digital Well-being
• Human-Microbe Interaction
• Neo-cybernetics
• +۷ مورد دیگر

Dominique Chen is a Professor at Waseda University's School of Culture, Media and Society since 2022, previously serving as Associate Professor from 2017-2022. A French national born in 1981, he holds a Ph.D. in Interdisciplinary Informatics from the University of Tokyo (2013). His work bridges technology, art, and human experience with a focus on digital well-being and more-than-human relationships. Chen's research interests include human-microbe interaction, neo-cybernetics, and the design of systems that foster mutual care between humans and non-human entities. His work with the Nukabot project exemplifies this interdisciplinary approach, exploring how fermentation processes can serve as metaphors for communication and relationship building. He leads the Ferment Media Research group, investigating how fermentation principles apply to digital cultures and communication systems. His recent publications reveal a consistent focus on designing for well-being in digital societies, with particular attention to translation processes, human-microbe relationships, and the creation of systems that support co-adaptive interaction. The Nukabot research series demonstrates how traditional fermentation practices can inform novel interaction paradigms that acknowledge and incorporate more-than-human perspectives. Best Paper Honorable Mention (2024) - ACM Synlogue with Aizuchi-bot ACM SIGGRAPH Special Prize (2023) - Nukabot Best of AppStore 2015/2016 - Picsee/Syncle applications Good Design Award (2008) - Creative Commons Japan Super Creator certification (2009) - IPA Exploratory IT Program Chen has advised numerous projects through his leadership of Ferment Media Research and has served on various committees including the Good Design Award jury (2016-), Yomiuri Shimbun Reading Committee, and advisory boards for art and design institutions. His work extends beyond academia through his founding of Divideal Inc. (acquired by Smart News in 2018) and Creative Commons Japan (now Commonsphere). His laboratory, Ferment Media Research, explores interdisciplinary connections between fermentation processes, digital systems, and human relationships, creating installations like Nukabot that facilitate human-microbe interaction and Last Words/TypeTrace that examines writing processes and communication.

• Cellular Biophysics
• Materials Science
• Cell Biology
• +۳ مورد دیگر

Prof. Joachim Spatz is a Full Professor of Biophysical Chemistry at Heidelberg University and Director of the Max Planck Institute for Medical Research. His academic career includes roles as Director at MPI for Metals Research (2004–2015) and Founding Director of the Institute for Molecular Systems Engineering (IMSE). He holds a PhD from Ulm University and habilitation in Physics, with postdoctoral training at the Institut Curie, Paris. His research spans cellular biophysics, materials science, and synthetic biology, focusing on mechanotransduction, cell-material interactions, and engineered biological systems. Education: 1989–1994: Dipl. Phys. (Physics), Ulm University & Colorado State University 1994–1996: PhD (summa cum laude), Ulm University 2000: Habilitation in Physics, Ulm University Research Interests: Spatz’s work integrates biophysics, materials science, and engineering to study cellular mechanics, synthetic cells, and mechanosensing. Key projects include developing synthetic cell models using microfluidics and exploring how mechanical forces regulate cell behavior in health and disease. Awards: 2017 Gottfried Wilhelm Leibniz Prize 2012 ERC Advanced Grant (with Prof. B. Geiger) 2002 Alfried Krupp Research Award Labs & Collaborations: Leads the Cellular Biophysics Department at MPI for Medical Research and collaborates with institutions like the Weizmann Institute and Jackson Laboratory. Active in interdisciplinary initiatives such as the Max Planck School Matter to Life.

Stephen Caveمشاهده پروفایل

استاد

• Philosophy of Technology
• Ethics of AI
• Robotics Ethics
• +۳ مورد دیگر

Professor Stephen Cave is the Academic Director of the Leverhulme Centre for the Future of Intelligence (CFI) and Co-Director of the Institute for Technology and Humanity at the University of Cambridge. With a PhD in Philosophy from Cambridge, he previously served as a policy advisor and diplomat in the British Foreign Office for nearly a decade before returning to academia. Education: PhD in Philosophy, University of Cambridge Current Roles: Academic Director (CFI), Co-Director (Institute for Technology and Humanity) Media Engagement: Regular contributor to Financial Times , Guardian , New York Times , and media appearances on BBC and NPR His research bridges philosophy and ethics of technology , with two primary strands: (1) the ethics of AI and robotics , focusing on responsible AI development and societal impact through works like AI Narratives and Feminist AI ; and (2) the ethics of life-extension and immortality , explored in Immortality and Should You Choose to Live Forever? . Recent publications analyze algorithmic fairness, gender representation in AI narratives, and digital death. The articles listed reflect his engagement with responsible AI frameworks , cultural portrayals of AI , and existential implications of life extension . His work often synthesizes historical, ethical, and cultural perspectives to address contemporary challenges in AI governance and mortality philosophy.

• Consumer Behavior
• Social Media Marketing
• Digital Marketing
• +۳ مورد دیگر

Natalie T. Wood, PhD (Auburn University, 2002), is a Professor of Marketing and Associate Dean at Saint Joseph’s University’s Haub School of Business. Her expertise spans consumer behavior and social media marketing, with a focus on digital engagement and virtual environments. PhD, Auburn University (2002) GradDip in Marketing, Edith Cowan University (1999) BBus in Marketing, Edith Cowan University (1996) Her research explores social media’s influence on consumer trends, political marketing, themed hospitality authenticity, and virtual education. Key journals include Journal of Consumer Behaviour and Business Horizons . Recent publications analyze microblogging’s role in customer service and brand promotion. Notable awards: Saint Joseph’s University Faculty Merit Award for Teaching (2013) and Research (2007). Grants from Arrupe Center (2019) and Direct Selling Education Foundation (2010-2011) highlight her funded work. Professional roles include Assistant Director, Center for Consumer Research (2007-2011).

Masood Masoodianمشاهده پروفایل

دانشیار

• Interactive Visualization
• Design Thinking
• Health Informatics
• +۳ مورد دیگر

Masood Masoodian is an Associate Professor in the Department of Art and Media at Aalto University, Finland. He leads the Visual Communication Design research group, focusing on interactive visualization for health, energy, and sustainability contexts. Previously, he held roles at the University of Waikato (2000-2016), University of Southern Denmark, and Massey University. Education: Doctoral degree in Other disciplines from the University of Waikato (1999) Research interests include design thinking, visualization of complex data, and creative aging interventions. Notable projects include the EU-funded INT-ACT initiative (2024-2026) addressing intangible cultural heritage. He has received an award for collaborative work on video game ludonarrative analysis (2019). Recent activities include organizing workshops on map-based interfaces, co-creating cultural heritage methods, and delivering public talks on digital design. Supervised two theses and contributed to 131 peer-reviewed outputs, emphasizing human-centered design and sustainability. Grants: Principal investigator for multiple EU projects totaling over 3 years of active funding. Awards: Prize for 'Comedy in the Ludonarrative of Video Games' (2019). Labs/Teams: Visual Communication Design group, collaborating internationally on projects like INT-ACT's cultural heritage mapping.