Find Academic Supervisors

Amy YoungsView profile

Associate Professor

• Eco Art
• Interactive Sculpture
• Digital Media
• +5 more

Amy Youngs is an Associate Professor at Ohio State University, specializing in eco art, interactive sculpture, and digital media. Her work explores interdependencies between technology, plants, and animals, often creating installations that amplify non-human perspectives. Notable exhibitions include Te Papa Museum (New Zealand), Trondheim Electronic Arts Centre (Norway), and the Peabody Essex Museum (USA). She has received the Ohio Arts Council Individual Artist Grant and contributed to interdisciplinary publications like Leonardo and Robots and Art. Education: MFA from the School of the Art Institute of Chicago, BA from San Francisco State University. Research focuses on entanglements with non-human entities, constructing ecosystems, and machine perspectives. Key themes include environmental collapse aesthetics, interspecies communication, and bio-art. Her work has been featured in augmented reality tours, insect museums, and public parks, emphasizing participatory engagement with ecological issues. Lectures include the Australian Centre for the Moving Image and the Walker Art Center. Awards and grants highlight her contributions to socially conscious art and technology intersections. Current projects explore curatorial care in biomedical art, hybrid biological-digital systems, and trans-species interfaces. She advocates for art as a medium to address climate change, colonialism, and social justice through innovative material practices and community collaborations.

Frederic MaireView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +3 more

Dr. Frederic Maire is a Senior Lecturer at the QUT Centre for Robotics, Queensland University of Technology. His research focuses on robotics, computer vision, and machine learning, with applications in environmental monitoring, autonomous systems, and driver safety. He holds a PhD from Université de Paris VI and has been at QUT since 1995. Key projects include the Dugong Detector for seagrass health monitoring, textile recycling robotics, and rail safety systems. Expertise spans soft robotics, environmental robotics, and AI-driven solutions for complex real-world challenges. Research interests include underwater imagery segmentation, UAV navigation, and multimodal driver stress detection. He has supervised numerous PhD and Master’s students on topics like autonomous decision-making and vision-based robotics. Publications span over 118 articles in top venues like IEEE/CVF WACV and IROS, focusing on robotics, computer vision, and environmental applications.

• Ubiquitous Computing
• Wearable Computing
• Intra-Body Communication
• +1 more

Florian Wolling is a full-time Research Fellow at Technische Universität Wien, focusing on Ubiquitous Computing and Human-Centered Technology. His research explores wearable systems and IoT applications, including intra-body communication and biosignal processing. Recent publications demonstrate innovation in textile-based interfaces, waste management AI, and spatial computing input methods. He actively supervises student theses in computer science and human-computer interaction.

• Operations Management
• Supply Chain Management
• Production Line Simulation
• +2 more

Dr. Tom MCNAMARA is an Academic Assistant Professor at Rennes School of Business since 2010, specializing in Supply Chain Management & Information Systems. Holding a Ph.D. in Operations Management from The Open University (UK) and an MBA in Finance from Wagner College, he combines academic expertise with 15+ years of industry experience as a Senior Corporate Buyer. His research focuses on Strategic Operations Management , Production Line Simulation , and Sustainable Supply Chain Practices . Key contributions include analyzing unbalanced manufacturing systems, green supply chain risk modeling, and ethical dimensions in tourism marketing. His work appears in journals like Human Relations and International Journal of Production Research . Recent publications demonstrate trends in HR analytics (2024), organizational punishment dynamics (2022), and green supply chain innovations (2021). His methodology combines empirical simulation with cross-cultural case studies in industries ranging from apparel manufacturing to luxury branding. As an active conference participant, Dr. MCNAMARA has presented at venues including the European Operations Management Association and International Federation of Automatic Control . He serves as book chapter contributor for McGraw-Hill and Kogan Page publishers, covering topics from mobile marketing to ethical corporate strategies.

• Innovation Management
• Design Thinking
• Sustainable Innovation
• +3 more

Lotta Hassi is a Researcher at Aalto University's School of Science, focusing on innovation management, design thinking, and sustainable innovation. Her work explores experimentation in organizational contexts, team dynamics in creativity, and strategic innovation frameworks. She has published widely in journals like the International Journal of Innovation Management and International Journal of Design Creativity and Innovation , with notable contributions on barriers to experimentation in design teams and the role of individual characteristics in fostering innovation. Her research emphasizes interdisciplinary approaches to sustainability and design strategy.

• Biomedical Engineering
• Wearable Technology
• Machine Learning
• +3 more

Dr. Chakaveh Ahmadizadeh is a Lecturer at the Department of Health Sciences and Technology, ETH Zürich. Her research focuses on biomedical and mobile health technology, particularly in wearable sensing systems for physiological and movement monitoring. Position: Lecturer Institution: ETH Zürich Research Interests: Wearable sensors, machine learning for health, smart textiles, physiological signal processing Recent work highlights include: Textile-based capacitive strain sensors for robust hand gesture recognition Multi-plane knee angle monitoring systems Machine learning integration for FMG signal analysis Passive wireless textile sensors for movement tracking Sweat resistance testing for wearable health applications

Evgeny MorozovView profile

Professor

• Applied and Structural Mechanics
• Composite Materials
• Structural Optimization
• +3 more

Professor Evgeny Morozov holds a Professorship at the School of Engineering and Information Technology, UNSW Canberra. He holds advanced degrees including MSc, PhD, and DSc (Moscow), and is a member of MASME. His expertise spans Applied and Structural Mechanics, Composite Materials, and Structural Optimization. Affiliations: UNSW Canberra (2007–present), University of Natal, Durban (1995–2007), and Moscow State University of Aviation Technology (1977–1995). Research focuses on composite materials, including design, analysis, and manufacturing of advanced composites for aerospace and automotive applications. His work emphasizes structural optimization, crashworthiness, and material characterization. Recent articles highlight machine learning for damage detection in composites, structural analysis of spacecraft components, and ballistic impact behavior of advanced materials. His awards include the Donald Julius Groen Prize and recognition by the South African NRF for international research excellence. Grants: Lead investigator for projects on composite structures, deep water composites, and radiative cooling devices. Collaborated with Renault, Delft University of Technology, and others. He leads the Advanced Composite Research Unit, focusing on cutting-edge composite materials for aerospace and industrial applications.

Tobias HöllererView profile

Professor

• Visual Computing and Interaction
• Augmented Reality
• Virtual Reality
• +5 more

Tobias Höllerer is a Professor of Computer Science at the University of California, Santa Barbara (UCSB). He leads the Imaging, Interaction, and Innovative Interfaces research group, focusing on novel user interfaces, augmented reality (AR), virtual reality (VR), and immersive visualization technologies. His work emphasizes 'Anywhere Augmentation' in AR and contributions to the Allosphere project, a three-story immersive visualization environment. Education: PhD in Computer Science, Columbia University MS in Computer Science, Columbia University Diplom (MSc equivalent), Technische Universität Berlin Research Interests: Höllerer explores AR/VR interfaces, spatial computing, human-computer interaction (HCI), and data visualization for analyzing large-scale information networks. His group develops solutions for 3D reconstruction, multimodal interaction, and applications in fields like digital fabrication, assistive technologies, and immersive storytelling. Publications Trends: Recent work spans AR navigation aids for visually impaired users, cognitive load analysis in VR, multimodal AI for spatial awareness, and creative applications like textile crafting and music instruments in AR. Scientific Awards: NSF Early Career Development Award Grants & Labs: Active in NSF-funded projects and directs the UCSB Allosphere Research Group. His lab collaborates on projects like Attention-Aware Mixed Reality Interfaces and Large-Scale Real-Time Information Visualization . Labs/Teams: Oversees the Allosphere, a unique immersive platform for data-driven exploration, and leads interdisciplinary teams advancing HCI and AR/VR technologies.

Carlos Cruz de la TorreView profile

Part-Time Lecturer

• Electronics Technology
• Energy Communities
• Demand Response
• +7 more

Carlos Cruz de la Torre is a Part-Time Lecturer in the Department of Electrónica at the Universidad de Alcalá . He earned his PhD with a thesis on cooperative demand planning in sustainable communities optimizing renewable energy consumption, supervised by Dr. Ignacio Bravo Muñoz and Dr. Esther Palomar González. His work spans interdisciplinary domains including energy communities , IoT sensing , renewable energy integration , and digital electronics education , with contributions to sensor design and sustainable engineering practices. Research Interests : His research focuses on Aggregated demand response systems and multi-objective optimization in energy communities Development of IoT-based sensors and triboelectric nanogenerators for energy harvesting Integration of sustainability principles into digital electronics education Behavioral analysis of consumer participation in renewable energy systems Signal conditioning circuits for optical and seismic sensors Physics applications in CCD sensor technology and particle scattering Publications highlight his expertise in robotics , sensor design , and energy-efficient communities , with recent work exploring trilevel optimization models and flexible nanogenerators. Earlier contributions include studies on particle physics and CCD readout techniques. Labs & Teams : He collaborates with the GEINTRA (Group of Electronic Engineering Applied to Intelligent Spaces and Transport) research group, focusing on intelligent transportation and energy-efficient systems.

Sanjiv DasView profile

Professor

• Default Risk Modeling
• Machine Learning
• Social Networks
• +3 more

Sanjiv Das is the William and Janice Terry Professor of Finance at Santa Clara University's Leavey School of Business. He holds advanced degrees in Finance, Computer Science, and Management from prestigious institutions like NYU, UC Berkeley, and IIM Ahmedabad. His research focuses on default risk modeling, machine learning applications in finance, derivatives pricing, and venture capital. He has authored over 80 academic articles and received the Harry Markowitz Award in 2019 for his contributions to finance. Professor Das serves as a senior editor for The Journal of Investment Management and co-editor of The Journal of Derivatives . Before academia, he worked in derivatives at Citibank and currently holds a Senior Fellow role at the FDIC Center for Financial Research. He has held faculty positions at Harvard Business School and UC Berkeley. His work bridges theoretical finance with practical applications, emphasizing interdisciplinary approaches. Key interests include leveraging machine learning for financial modeling and exploring social networks' impact on market dynamics. His book Derivatives: Principles and Practice (2010) remains a foundational text in the field.

• Mass Timber Construction
• Sustainable Built Environment
• Circular Economy
• +3 more

George H. Berghorn is an Assistant Professor of Construction Management and Research Director for Mass Timber at Michigan State University (MSU), located within the School of Planning, Design and Construction. He also holds an adjunct role as Assistant Professor of Sustainable Wood Construction in the Department of Forestry. Berghorn earned a PhD in Construction Management from MSU, a Master of Environmental Studies from Yale University, and a Bachelor's in Earth Science and Political Science (magna cum laude) from SUNY Brockport. His research focuses on Mass Timber materials, circular economy principles, building deconstruction (domicology), and sustainable built environment practices. He has led projects addressing energy efficiency in high-security facilities, barriers to mass timber adoption in the U.S., and the role of construction activities in invasive species spread. He advises Sigma Lambda Chi and coaches the Residential Competition Team. Key affiliations include MassTimber@MSU, the MSU Housing & Education Research Initiative, and the MSU Industrial Assessment Center. Notable achievements include NSF funding ($650K for mass timber curriculum development) and a Forest Stewardship Council Leadership Award for the MSU Mass Timber STEM facility. His work integrates risk management methodologies (FMEA, Delphi techniques) with case studies to address urban blight and energy performance contracting challenges in correctional facilities. Current activities include developing tools for cross-laminated timber use and advancing sustainable wood construction education. His academic contributions span 25+ peer-reviewed articles, with recent emphases on VR-based energy audit training, UN SDG 11 urban resilience frameworks, and interdisciplinary approaches to sustainable apparel industry facilities in South Asia. Berghorn’s research bridges environmental science, policy, and engineering, often leveraging collaborative projects with industry partners to address real-world challenges in construction sustainability.

• Environmental Law
• Legal Education
• Transnational Regulation
• +3 more

Zoe Nay is a Lecturer in the School of Law within the Faculty of Business & Law at Queensland University of Technology (QUT). Her academic work spans environmental law, legal education, and student engagement, reflecting QUT's commitment to interdisciplinary research with practical applications. She collaborates extensively with colleagues including Judith McNamara and Rachel Hews on projects addressing contemporary legal challenges. Dr. Nay's research interests focus on environmental governance frameworks, particularly transnational regulation of plastics and circular economy approaches to textile waste. She investigates how legal education can adapt to technological changes through design thinking methodologies and examines the impact of pandemic conditions on law student engagement and wellbeing. Her work bridges theoretical legal scholarship with practical educational applications. Her recent publications reveal a consistent focus on regulatory innovation, with particular attention to environmental challenges requiring cross-jurisdictional solutions. The articles demonstrate increasing integration of technological considerations into legal frameworks, especially regarding automated decision-making in environmental assessments. Her work connects legal theory with practical implementation challenges in Australian and international contexts. While specific scientific awards aren't documented in the available materials, her publications appear in respected journals including Transnational Environmental Law , Alternative Law Journal , and Globalization and Health , indicating recognition within her fields of expertise. Dr. Nay's research collaborations extend across multiple institutions, particularly with UNSW colleagues on legal education projects. Her work with The Cotton Research and Development Corporation demonstrates applied research addressing industry-specific regulatory challenges. These partnerships highlight her commitment to translating academic research into practical solutions for environmental and educational challenges. Her scholarship contributes to QUT's research strengths in environmental law and legal education innovation, particularly regarding the impacts of digital transformation and global crises on legal practice and pedagogy.

Lei SuView profile

Professor

• Sensors and Instrumentation
• Optical Devices and Systems
• Optoelectronics
• +8 more

Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .

Colm Jeremiah ObrienView profile

Assistant Professor

• Sustainable Fashion
• Smart Textiles
• Human-Computer Interaction
• +4 more

Colm Jeremiah Obrien is an Assistant Professor at the Oslo School of Architecture and Design (AHO), affiliated with the Institute of Architecture and Department of Architecture. His research explores intersections between computational design tools and cultural reflections on gendered labor, particularly in smart textiles and wearable technology. Research Focus Smart Textiles Human-Computer Interaction Sustainable Fashion Algorithmic Fairness Cultural Studies in Technology Collaborative Design Practices Awards Multiple Best Paper Awards at top Human-Computer Interaction conferences He maintains active collaborations across design and computer science fields, though no specific student advising relationships are currently listed.

Boyu KuangView profile

Research Fellow

• Semantic Segmentation
• Object Detection
• Weakly Supervised Learning
• +9 more

Dr. Boyu Kuang is a Research Fellow in Computer Vision and Artificial Intelligence at Cranfield University, affiliated with the Centre for Computational Engineering Sciences. His work bridges academic research with industrial applications in aviation, robotics, and energy systems. Current role: Research Fellow in Computer Vision and AI Key affiliations: Centre for Computational Engineering Sciences Research interests include semantic segmentation , object detection , weakly and self-supervised learning , multi-modal perception , and vision-language foundation models . His methodology emphasizes robust AI systems for low-resource industrial environments , with applications in aviation maintenance , robotics , and energy infrastructure monitoring . He leads the Artificial Intelligence and Machine Learning module at Cranfield. Key activities include the UKRI, ATI, and Airbus-funded ONEHeart project on autonomous systems and intelligent inspection. Collaborations span Stanford University , King’s College London , Civil Aviation University of China , and industry partners like Airbus and Leidos . Publications focus on vision-language models , multi-modal perception , and industrial AI . As an Editorial Board Member for Discover Artificial Intelligence (Springer Nature), he contributes to academic governance. Peer review experience includes 60+ journal manuscripts for venues like IEEE Transactions on Image Processing and Elsevier Neural Networks . Facilities utilized include DARTeC and AIRC .