Find Academic Supervisors

• Production Systems Engineering
• Software Engineering
• Cyber-Physical Production Systems
• +4 more

Prof. Dietmar Winkler is a Lecturer at TU Wien's Department of Information Systems Engineering, specializing in Cyber-Physical Production Systems (CPPS) and Software Engineering. His work focuses on integrating safety, security, and quality aspects into production systems through model-driven engineering and agile practices. He contributes to Industry 4.0 initiatives, particularly in asset-based risk mitigation and knowledge graph frameworks for security analysis. Research interests include: production systems engineering, cyber-physical systems, test-driven validation, model integration, and software quality intelligence. His publications emphasize multi-view modeling, traceability pipelines, and empirical studies on test code readability. Recent work explores security-log analysis via knowledge graphs (VloGraph), test scenario validation using design models, and efficient FMEA re-validation in agile environments. He co-leads projects on digital production system safety and coordinates multi-disciplinary engineering artifacts. Active in academic communities, he organizes conferences like Software Quality: The Next Big Thing. His contributions bridge theory and practice in systems engineering, with a focus on improving software development processes in complex industrial settings.

Ramin HasaniView profile

Researcher

• Machine Learning
• Robotics
• Neural Networks
• +3 more

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

Oliver HöftbergerView profile

Researcher

• Cyber-Physical Systems
• Real-Time Systems
• Embedded Systems
• +5 more

Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.

• Computer Networking
• TCP/IP Protocol Architecture
• Data Center Networks
• +6 more

Douglas Comer is a distinguished academic and researcher in computer science and electrical engineering at Purdue University, affiliated with the School of Electrical and Computer Engineering. He holds the position of Distinguished Professor, reflecting his significant contributions to the field. His primary research interests include computer networking, TCP/IP protocols, software-defined networking (SDN), cloud computing architectures, data center networks, and network security. Comer is also recognized for his influential textbooks on computer networking and operating systems, which are widely used in academic curricula globally. Comer's academic contributions span decades, with a focus on foundational networking principles and practical implementations. His work on DCnet, an innovative data center network architecture, and the development of SDN frameworks like Osdf and Umbrella highlight his expertise in scalable and resilient network systems. He has also explored emerging areas such as space-terrestrial integrated networks and IoT protocol emulation through projects like WIST. His research emphasizes bridging theoretical concepts with real-world applications, evident in his experimental studies on network simulation reliability and packet delivery resilience. Comer's publications consistently address challenges in network architecture, security, and performance, making him a pivotal figure in both academia and industry. Comer's academic leadership includes contributions to institutional awards and recognition at Purdue University, though specific honors are not detailed in the provided text. His teaching and research labs focus on hands-on networking projects and network processor design, as seen in courses like Network Systems Design (CS490N). He has advised numerous students through his academic roles, though specific advisee names are not listed here. His work has been supported by grants focused on next-generation network architectures and cloud computing infrastructure advancements.

• Geometric Deep Learning
• Topological Deep Learning
• Topological Data Analysis
• +7 more

Bastian Alexander Grossenbacher is a Full Professor of Machine Learning at the University of Fribourg, where he leads the AIDOS Lab within the Department of Informatics, Faculty of Science and Medicine. He holds secondary appointments at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich. He is also a TUM Junior Fellow and a member of ELLIS and AI-LIFE. He co-directs the Applied Algebraic Topology Research Network (AATRN) and is involved in the Topology, Algebra, and Geometry in Data Science (TAG DS) initiative. His research lies at the intersection of geometry, topology, and machine learning, with a focus on Geometric Deep Learning, Topological Deep Learning, and Topological Data Analysis. He develops novel machine learning methods that use topological and geometric priors to improve model robustness and interpretability, particularly in biomedical applications. His work spans theoretical foundations and practical implementations in areas such as single-cell analysis, medical imaging, and network science. The 15 most recent publications (2023–2025) reveal a strong trend toward integrating algebraic and differential topology into deep learning architectures. Key themes include the use of Euler Characteristic and magnitude transforms, curvature-based analysis of graphs and data, simplicial and manifold-based neural representations, and the application of topological methods to biomedical data. His articles appear in top-tier venues such as Nature Communications, ICML, NeurIPS, ICLR, and IEEE conferences, reflecting both theoretical depth and high-impact applications. ERC Starting Grant Bastian Rieck is actively involved in mentoring and academic leadership. He supervises PhD students and postdoctoral researchers in the AIDOS Lab and is open to new collaborations, particularly with candidates from interdisciplinary backgrounds. He has secured significant research funding, including the ERC Starting Grant, and leads multiple collaborative research initiatives. He emphasizes open science, sharing code, data, and educational materials publicly. He leads the AIDOS Lab, which focuses on advancing machine learning through topological and geometric principles. He is also a co-director of the Applied Algebraic Topology Research Network (AATRN), which hosts a large online seminar series. Additionally, he maintains DONUT, a curated database of non-theoretical applications of topology, and is active in the ELLIS and AI-LIFE networks, fostering international collaboration in AI and health.

Salvatore Ivan TrapassoView profile

Assistant Professor

• Applied harmonic analysis
• Fourier analysis
• Machine learning
• +5 more

Salvatore Ivan Trapasso is a Fixed-term Assistant Professor at the Department of Mathematical Sciences "GL Lagrange" (DISMA) , Polytechnic University of Turin , and a member of the SmartData@PoliTO - Big Data and Data Science Laboratory . His research focuses on Applied Harmonic Analysis , Fourier Analysis , Machine Learning , and Quantum Theory , with expertise in Mathematical Analysis (MATH-03/A) and Theoretical PDEs (PE1_11). Education : Implied PhD in Mathematics. Research Areas : Phase Space Analysis, Time-Frequency Methods, and Applications to Quantum Mechanics. His recent publications investigate phase space techniques for Feynman Path Integrals , Twisted Laplacian , Compressed Sensing , and Stability of Scattering Transforms . His work bridges Harmonic Analysis with Machine Learning and Quantum Dynamics . Notable scientific awards include the Axioms Young Investigator Award (2022) , Best Paper Award (ICGF 2020) , and the Quality Award 2019 from Polytechnic University of Turin. He serves on the Editorial Board of Advances in Operator Theory and as Associate Editor for University Texts in the Mathematical Sciences . Teaching roles include Lecturer for Mathematical Principles in the College of Architecture and Design , Collaborator for Mathematical Analysis I/II in Biomedical and Aerospace Engineering, and Contributor to advanced mathematical methods in Computer Science Engineering.

Emily TalenView profile

Professor

• Urban Design
• Urbanism
• Social Equity
• +7 more

Emily Talen is a Professor in the Division of the Social Sciences at the University of Chicago, with affiliations to the Committee on Environment, Geography, and Urbanization. Her research focuses on urban design, urbanism, and the intersection of built environments with social equity. She critiques and proposes solutions for zoning policies, density distribution, and public space accessibility to foster inclusive urban development. Her work emphasizes form-based codes , walkability metrics , and the socio-economic impacts of urban design. Notable themes include zoning reform analysis, density optimization strategies, and the evaluation of urban policies through AI-driven methodologies. She has also explored informal settlements, neighborhood identity, and the ethical dimensions of urban planning. Recent studies include Key to the City: How Zoning Shapes Our World (2025) and analyses of density, open space utilization, and AI applications in zoning reforms. Her research consistently bridges academic rigor with practical urban policy, advocating for equitable and sustainable urban futures. She leads initiatives at the Center for Spatial Data Science , leveraging spatial analytics to address urban challenges. Though no academic awards are explicitly listed, her prolific publications and policy engagement underscore her scholarly impact.

Daniel N JacksonView profile

Professor

• Software Design and Specification
• Design Methods
• Tools and Analysis
• +9 more

Prof. Daniel N. Jackson is a Professor of Electrical Engineering and Computer Science at MIT, serving as Associate Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and Director of the Middle East Education Through Technology (MISTI MIT-MEET) initiative. His research focuses on software dependability, formal methods, and design analysis, particularly through the Alloy framework. Jackson emphasizes lightweight formal methods to reduce development costs and enhance software safety, with applications in cybersecurity, autonomous systems, and safety-critical software. His work includes developing tools like Bluefish for declarative diagram composition and Riffle for reactive systems. He explores ethical software design frameworks to address dark patterns and advocates for concept-centric development. Jackson's contributions span academic publications, educational initiatives, and industrial collaborations, aiming to bridge formal methods with practical software engineering challenges. Recent projects involve certified control systems for autonomous vehicles, end-to-end dependability cases, and model checking for security flaws. His research integrates interdisciplinary approaches, combining programming languages, static analysis, and human-centered design principles.

Amélie Gourdon-KanhukamweView profile

Lecturer

• Social Psychology
• Judgment and Decision-Making
• Health Communication
• +4 more

Dr. Amélie Gourdon-Kanhukamwe is a Lecturer in Neuroscience and Psychology Education at King's College London's Department of Neuroimaging, part of the Institute of Psychiatry, Psychology & Neuroscience. She specializes in experimental social psychology, focusing on decision-making under uncertainty, health communication, and neurodivergence in academia. She contributes to the Psychological Science Accelerator for large-scale replication studies and actively promotes open scholarship practices. As deputy programme leader for the BSc Neuroscience and Psychology, she teaches statistics using R and open science principles. Research Interests : Judgment/decision-making, verbal uncertainty interpretation, autonomy-focused health communication, neurodivergence in academia, and open science methodologies. Current projects include workplace accommodations for neurodivergent individuals and biases in medical communication involving neurodivergent patients. Publications Trends : Recent work emphasizes replicability in psychological science, neurodiversity advocacy, and pedagogical strategies for open scholarship. Key contributions include multi-lab cognitive dissonance studies and frameworks for participatory research in neurodiversity. Awards : None explicitly listed in provided texts. Grants/Advising : Collaborates with students on neurodivergence research projects. Leads initiatives integrating open science into curricula and promoting accessible academic practices. Active member of the Society for Improvement of Psychological Science and Psychological Science Accelerator. Labs/Teams : Manages a lab focused on replicability and neurodiversity research, collaborating internationally through multi-institutional projects.

• Open Science
• Data Management
• FAIR Principles
• +3 more

Tuomas Alaterä is a Service Manager at the Finnish Social Science Data Archive , University of Tampere, with over two decades of experience in research data infrastructure. His work focuses on advancing open science and FAIR data principles. 2024: Co-authored reports on reproducibility scaling and open science architecture 2023: Led FAIR data workshops and contributed to repository certification guidelines Research interests center on data management , persistent identifiers , and research ecosystem sustainability . Recent outputs examine FAIR implementation across Nordic-Baltic repositories and institutional policy development. Alaterä chairs international events like the International Data Curation Conference 2025 and has held leadership roles in organizations such as IASSIST. His work emphasizes infrastructure development and open research advocacy.

Daniel DavisView profile

Professor

• Architectural Education
• Integrative Curriculum
• Sustainability
• +3 more

Daniel Davis is a tenured Professor in the Department of Architecture at the University of Hartford's College of Engineering, Technology, and Architecture. With over 30 years as a registered architect across multiple states and a background in professional practice, he bridges academic instruction with real-world design experience. Education: MArch and BArch from Pratt Institute; BS in Architecture from Catholic University His research emphasizes integrative architectural education, focusing on curriculum innovation that unifies engineering, art, and industry collaboration. Publications span topics like sustainability, construction management, and project delivery methods. Recent articles highlight his work in developing multidisciplinary programs and industry-aligned teaching methodologies. Awards include prestigious design accolades for professional projects. Scientific Awards: Prestigious design awards Davis has served on numerous university committees and search panels, including roles in accreditation (ABET, NAAB) and strategic planning. His professional experience includes leadership positions at firms like Fletcher Thompson and Friar Associates.

Carme TorrasView profile

Research Professor

• Robotics
• Artificial Intelligence
• Neurocomputing
• +4 more

Carme Torras is a Research Professor at the Institute of Robotics and Industrial Informatics (IRI), a joint center of the Polytechnic University of Catalonia (UPC) and the Spanish National Research Council (CSIC), affiliated with the Faculty of Informatics of Barcelona (FIB). She leads the research group in assistive robotics, focusing on ethical, human-centered robotic systems. With over 400 scientific publications, she has made pioneering contributions in robotics, neurocomputing, and artificial intelligence. PhD in Computer Science – Universitat Politècnica de Catalunya Master in Computer Science – University of Massachusetts Bachelor in Mathematics – University of Barcelona Her research interests span robotics , artificial intelligence , neurocomputing , and ethics in digital technologies . She emphasizes the societal impact of AI, promoting ethical principles and public engagement. Her recent articles and literary works explore human-robot interaction, assistive systems, and the emotional dimensions of technology. The analysis of her recent publications reveals a strong trend toward interdisciplinary research combining technical innovation with ethical reflection. Her work integrates robotics with cognitive science, literature, and social responsibility, emphasizing open science and inclusive design. She advocates for an open laboratory model in assistive robotics to foster collaborative innovation. Nit de la Robòtica Award (2022) Pedrolo Prize for 'La mutación sentimental' Ictineu Prize for 'La mutación sentimental' and 'Enxarxats' Carme Torras has supervised 20 doctoral theses and led 17 European research projects, demonstrating significant leadership in both academic mentoring and large-scale collaborative research. She is deeply involved in science communication, using fiction to explore ethical dilemmas in AI. Her vision includes expanding open-access research infrastructure in robotics. She leads the assistive robotics research group at IRI, which focuses on developing intelligent robotic systems for healthcare and personal assistance. The team emphasizes ethical design, human-robot collaboration, and accessibility, contributing to both technological advancement and societal dialogue.

• Product Design
• Artistic Research
• User Participation
• +12 more

Arild Skarsfjord Berg is a Professor at OsloMet's Faculty of Technology, Art and Design, Department of Product Design, with a Doctor of Art in Artistic Research in Public Space and a MA in Ceramic Art. He leads the Product Design and Cultural Sustainability research group, focusing on cross-disciplinary innovation between design, health technology, and material-based artistic practices. Research Interests: Product design with emphasis on material aesthetics Collaborative methods across design, healthcare, and technology Sustainability in professional education Neurotechnology and ethical design scenarios Ceramic art interventions in public spaces Academic pedagogy and teaching excellence Publication Trends: His work demonstrates a unique synthesis between design research and healthcare innovation, with increasing focus on neurotechnology ethics and salutogenic approaches. Materiality remains a consistent thread across both artistic practice and technical applications. Scientific Awards: Fellow of Merited Teachers at OsloMet

Attila Bekkvik SzentirmaiView profile

Assistant Professor

• Universal Design of ICT
• Human-Computer Interaction
• Augmented Reality
• +5 more

Attila Bekkvik Szentirmai is an Assistant Professor and Ph.D. research fellow at the Department of Design, Norwegian University of Science and Technology (NTNU), focusing on Universal Design of ICT, Human-Computer Interaction, and Augmented Reality (AR) development. With prior academic roles at the University of Agder and Oslo Metropolitan University, his interdisciplinary background bridges Social Science, Art, Software Engineering, and Digital Health. He teaches Web of Things (IDG3006) and leads innovative AR projects like AReader (AR screen reader), ARachnoAID (phobia treatment), and guARdian (daily decision support). Current role: Assistant Professor at NTNU Research focus: Universal Design, AR/VR accessibility, e-Learning/e-Health Teaching: Web of Things (IDG3006) course coordinator Previous roles: Assistant Professor at University of Agder and OsloMet His recent publications emphasize accessible AR/VR design, including humor/ethics in technology, sustainable AR solutions, and critical analysis of accessibility paradoxes. Projects span education (SlidAR classroom presentations), health (CybAR sickness, ARachnoAID), and sustainability (HoloWatch, E-Waste gaming). All work aligns with universal design principles to ensure inclusivity across diverse user needs. Scientific contributions include developing new accessibility heuristics for AR, analyzing AI-AR integration for decision-making, and creating prototypes for banknote recognition and indoor navigation. His publications bridge theoretical research with practical implementations, often using Unity/Vuforia for development and cross-disciplinary collaboration. His XR Research & Development timeline highlights innovations such as Deadliest Animals (2017, first universally designed WebVR), UndARtheSkull (2019, brain anatomy education), and 2023 projects like Jedi fARt Pro (humorous AR), Meta IntARaction (Quest3 AR), and XR Portal (AR-VR integration). Current Ph.D. work focuses on evidence-based accessibility guidelines for AR, aiming to impact social inclusion, academic research, and industry UX practices.

• Computer Science
• Artificial Intelligence
• Creativity Support Tools
• +2 more

Konstantinos Zachos is a Research Fellow and Chief Technology Officer at the Centre for Creativity enabled by AI (Bayes Business School, City, University of London). His work focuses on integrating Artificial Intelligence with Human-Computer Interaction to develop Digital Creativity Tools that enhance innovation across sectors like journalism, manufacturing, social care, and elite sports training. He co-leads the JECT.AI spin-out and the QUEST research project. Expertise : AI for Creativity, Software Engineering, Requirements Engineering, Service Discovery Collaborations : Co-developed tools with Neil Maiden, James Lockerbie, and teams at City, University of London and Miele GmbH His recent publications highlight Generative AI applications in opportunity discovery, with empirical evaluations in newsrooms and manufacturing environments. Key themes include: Creative process modeling Cross-domain AI integration Interactive systems for collaborative innovation Requirements surfacing in evolving systems Konstantinos maintains IEEE membership and actively bridges technical innovation with Human-Centered Design principles.