Filters UniversityAll universities Carnegie Mellon University EPFL – École polytechnique fédérale de Lausanne ETH Zurich Harvard University Massachusetts Institute of Technology (MIT) National University of Singapore (NUS) New York University (NYU) Stanford University The Hong Kong University of Science and Technology The University of Edinburgh Tsinghua University UCL University of California, Berkeley (UCB) University of California, Irvine University of California, San Diego (UCSD) University of Cambridge University of Maryland, College Park University of Michigan-Ann Arbor University of Oxford University of Washington Research areasAll areas - Combinatorial Optimization and its applications - Operations Research - Decision support systems - Computational chemistry - Molecular dynamics simulations - Cheminformatics - Medical AI - Analysis of radiology data using machine learning and medical image processing - Intelligent diagnosis and prognosis support - Computer graphics and medical image processing - astrophysics - astronomical instrumentation (ground- and space-based) - extrasolar planets - astrobiology - origin of life 3D Computer Vision, 3D Deep Learning, Robotic Perception AI AI , NE AI , SEPL AI , TH AI , VG AI Agents AI Educational Outreach AI Planning and Learning AI and Society AI based Voting Procedures and AI based Democracy. Human-AI Interaction and Asymmetry of Understanding. Securing Privacy for AI Tools AI ethics and governance; responsible computing; human-computer interaction; human-technology futures AI for Healthcare and Life Sciences AI for Industry AI for Robotics AI for Science (primarily in biology, chemistry, and healthcare) AI for Science, AI for Health AI for Science, AI for Robotics, Responsible AI AI for Science, AI for Sustainability AI for Sustainability, AI for Health, Hardware and Digital Twins for Edge AI applications AI for Sustainability, AI for Health, Neuromorphic computing at the edge AI for decision making in operations, AI deployment in organizations, Experimental and causal approaches for AI evaluation; AI for protecting society and the planet, AI4Good, AI for Sustainability, AI for biodiversity; geospatial computer vision, remote sensing AI for science AI governance, Health AI ethics, Clinical AI Ethics, Public participation in AI ethics AI in Design, Computational design synthesis and inverse design problems, data-driven generative design methods. AI-based Physical Simulation Accountability for AI Active Learning Teaching Methods Active Vision Agentic AI Analog and mixed-signal integrated circuits Biomedical and neural interface systems and signal decoding Analog design automation Image compressions and classification Miniaturized computerEnergy-efficient in-memory computing Anomaly Detection Applications of AI in manufacturing; AI for quality management; AI's role in Industry 4.0; AI for production planning and scheduling Artificial Intelligence Artificial Intelligence (AI) Artificial Intelligence + Machine Learning Artificial Intelligence in Architecture, Engineering, and Construction Artificial Intelligence, Data mining, Graph learning, Large-scale data analysis. Artificial Intelligence, Formal Reasoning, Neuro-symbolic Systems, Reinforcement Learning, Large Language Models, Discovery Systems, Open-Ended Learning. Artificial Intelligence, Machine Learning, Computational Healthcare Artificial intelligence, machine learning, multi-agent systems, computational epidemiology, public health. Audio-visual modeling of human behavior focusing on emotion. Focus on assistive speech-based technologies. Augmented Reality, HCI, Embodied Interactivity, Human-Robot Collaboration, Digital Fabrication Automated reasoning; satisfiability modulo theories (SMT); formal methods; formal verification; verification of smart contracts; verification of neural networks; AI safety; hardware design productivity and verification. Automatic control, data driven decision making, decision making under uncertainty, applications to energy and industrial processes Bayesian Methods Bayesian Optimization Bayesian deep learning Bias Big Data, Basic Algorithms of AI Bioinformatics & Drug Design Bioinformatics and Computational Biology Bioinformatics, Pattern Recognition and Machine Learning, Design and Control of Artificial Biological Systems Bioinformatics, Probabilistic Inference & Machine Learning Biological and Medical Devices and Systems Biomedical engineering, molecular imaging, noninvasive diagnostics, big data Biomedical image analysis, bio-imaging, unsupervised learning, Bayesian modelling, robust learning models Biosystems & Computational Biology (BIO) Causal Inference, High-Dimensional Statistics, Machine Learning Causal Inference, Machine Learning, Game Theory Causal inference Causal inference, machine learning, healthcare Causality-inspired Machine Learning, Secure and Trustworthy Artificial Intelligence Clinical data science, Cancer genetics Cognitive Science & Probabilistic Programming Communications Systems Complex Systems, Machine Learning, Reinforcement learning, Federated AI, Traffic, Crowds, Mobility, Smart Cities, Opinion Spreading, Financial Market Dynamics, Cryptocurrencies, Cryptoeconomics Computational & Experimental Genomics Computational Biology Computational Biology, Biostatistics, Modelling, Evolution, Pathogens, Health, Development, Macroevolution, Linguistics Computational Cognitive Science Computational Fabrication and Manufacturing Computational Genomics Computational Linguistics Computational Logic Computational Neuroscience Computational Optics, Biomedical Imaging, Optoelectronic Intelligent Computing Computational Social Science, Natural Language Processing Computational and Data-Driven Approaches in Game Theory and Economics Computational imaging，Physics-informed AI，AI for Astronomy Computational methods in stochastic systems biology. Application of control theory in systems and synthetic biology Computational pathology and precision diagnostics (https://dbe.unibas.ch/en/research/medical/computational-pathology/) FAIR data / Open Research Data infrastructures (www.sdpi.ch) Multimodal learning (histology + genomics/omics, https://airmec.ai/) Morpho-molecular pathology Tumor profiling / precision diagnostics Tumor immunology & microenvironment Predictive biomarker discovery and validation Causal inference in clinical research Generative models / digital twins Federated learning & privacy-preserving AI Clinical AI validation, standards & deploymentClinical diagnostic laboratories and automation (https://www.unispital-basel.ch/pathologie) Computational quantum many-body physics, machine learning, AI for science, quantum computing Computer Animation, Robotics, Reinforcement Learning, Physics Simulation, Optimal Control, and Computational Biomechanics Computer Animation, Special Effects, Digital Humans, Video Processing, Computer Graphics, Computer Vision, Emotion Analysis, Digital Storytelling Games, Interactive Media Computer Architecture Computer Architecture & Engineering (ARC) Computer Networks; Distributed Systems; Routing; Network Management; Network Operations; Verification. Computer Systems - Architecture, OS and Compilers Computer Vision & Autonomous Driving Computer Vision & Robotics Computer Vision and Machine Perception Computer Vision, Computational Neuroscience, Precision Healthcare Computer Vision, Machine Learning & Cognitive Science Computer Vision, Machine Learning & Neuroscience Computer graphics, digital humans, AI characters, 3D modeling, physics-based animation, computer vision, healthcare Computer graphics, geometry processing, 3D shape representation, computer animation, discrete differential geometry, geometric deep learning, digital fabrication Computer systems Computer systems security; Security and privacy of machine learning models; trustworthy AI; and trustworthy computing infrastructures. Also interested in designing efficient and scalable systems. Computer systems, cloud computing, storage systems, distributed systems & their intersection with machine learning Computer vision Computer vision, Machine Learning, Robotics, Autonomous Systems, Mixed Reality, Augmented Reality. Computer vision, virtual humans, human motion capture, human body modelling, human activity understanding Computer vision; computer graphics; 3D reconstruction and generative models; applications of vision and graphics to robotics, medical imaging, and scientific problems. Control and learning Control, Intelligent Systems, and Robotics (CIR) Conversational Machine Learning Cortical models of computaion Spiking Neural Networks Spike-based learning Edge-computing Low-power neural network accelerators Cosmology, Astrophysics, data analysis, large data sets, machine learning, statistical methods, advanced scientific algorithms, custom data processing clusters. Current focus: Graph Neural Networks. Also Natural Language Processing, Signal Processing, Computer Vision, Medical Applications, Reinforcement Learning, Deep Neural Networks, and Algorithm Learning. Cyber-Physical Systems and Design Automation (CPSDA) Data Mining Data Science and Information Visualization Data science Data-Driven Algorithm Design Data-driven & AI-supported decision-making, Deep Learning for condition assessment & maintenance planning, Transfer learning for behavioural models, Organizational process management, Infrastructure management, Infrastructure planning, Intervention strategies, Mobility infrastructure, Systems Engineering Data-driven solid mechanics, fracture mechanics, contact mechanics, discretization techniques, modeling and simulation of additive manufacturing processes Data-driven Condition Assessment of Structures and Infrastructures Fusion of Data and Models for Diagnostics and and Prognostics, Structural Health Monitoring, Monitoring-driven Decision Support for Predictive Maintenance Database Management Systems (DBMS) Databases and Big Data Databases and Data Mining De novo protein design, biomolecular structure prediction, application of ML methods to synthetic biology and cellular engineering. Decision Making Under Uncertainty Decision making Decision-Making Dedicated to developing learning systems that can quickly learn and adapt to changes in entirely new environments. Deep Learning Deep Learning Models of Human Neural Activity Deep Learning for Structured Prediction Deep Reinforcement Learning Deep Representation Learning/Architecture Search Deep learning, optimization, sparsity, high-performance, parallelism, Design, Modeling and Analysis (DMA) Digital Twins, Smart Industrial Robots, Quality Control and Inspection, Edge AI and Process Control Digital biomarkers for chronic diseases such as asthma, COPD & stress Biofeedback for breathing based on phone sensor data, Vehicle hypoglycemia warning system, States of receptivity for just-in-time adaptive interventions, Acoustic data, data from mobile phones and cars Discrete Optimization, Machine Learning, Economics Drug discovery with AI Adaptive systems Bioinformatics Nature-inspired computing Edge Intelligence, Distributed Intelligent Computing Edge-computing Architecture and Algorithms Education (EDUC) Educational Technology Electronic, Magnetic, Optical and Quantum Materials and Devices Embodied General Intelligence Energy Energy & Process Systems Engineering, Sustainability, Thermodynamics, Computer-aided molecular & process design Engaged in the research of first-person vision, augmented reality, and generative AI models. Equity Ethics of Technology Evaluation and design of migration and integration policies using causal inference and machine learning methods Explainable Machine Learning Explainable, Robust, Graceful AI Factuality evaluation Fairness Fairness and Bias in ML Forecasting Epidemics Foundation models Foundations and Theory of AI Foundations and Theory of AI, AI for Science Foundations and Theory of AI, Generative AI, AI for Robotics, Multimodal models, Vision models Foundations and Theory of AI, Generative AI, AI for Robotics, Responsible AI Foundations and Theory of AI, Generative AI, AI for Science Foundations and Theory of AI, Intelligent Agents Foundations of AI and Inference, Intelligent Healthcare Foundations of AI, AI for Science Foundations of AI, Dynamical Systems, Anomaly Detection Foundations of Machine Learning Foundations of Responsible AI, Machine Learning, Evaluation, Robustness, Social Questions Game Theory Gaussian Processes General: Future-oriented Structures, Digital Fabrication, Structural Design Related to AI (applied in Structural Engineering): Generative Design; Geometric Deep Learning; GANNs; Bayesian Optimization, Physics-Informed Machine and Deep Learning Generalization Generative AI Generative AI, AI for Health Generative AI, AI for Health, AI for Robotics, Responsible AI Generative AI, AI for Science Generative AI, AI for Sustainability, AI Systems Generative AI, Responsible AI Generative Modeling Generative Models (e.g., GANs, Diffusion Models, VAEs, etc.), Probabilistic Models. Coverage measures (Determinant Point Processes, etc.), Data-Driven Engineering Design, Optimization (both gradient-based and gradient-free). Generative models Genetics, genomics, complex diseases, precision medicine, disease liability predictions Geobiology, Genomics, Evolution, Systems Biology Geometric Computing & Sensors and Networks Goals and rewards for intelligent agents, including reinforcement learning and language model based agents; Aligning, steering and evaluating multi-principal agents. Graph-Based Learning Graphical Models Graphics (GR) Graphics Visualization and VR AR Graphics and Vision HCI , AI HCI, human-centered AI, accessibility, healthcare, audio interfaces. Hardware architectures for Machine Learning, Design of efficient AI acceleration engines. Codesign of hardware-software systems of ML and AI, Training and inference techniques for quantized neural networks, Edge AI and ML. Health Healthcare, Computer Vision & Deep Learning High Performance and Scientific Computing Human Computer Interaction Human Computer Interaction; Human AI Collaboration; AI in Education external page Human behavior, augmented reality ,engineering design, additive manufacturing, medical devices Human-AI Interaction Human-Centered Security and Privacy, Human-Computer Interaction, Socio-Technical System Design, Cybersecurity, Human Behaviour Human-Centric Embodied Intelligence;Human-Robot Interaction;Digital Humans;Computer Vision;Computer Graphics;Robotics;Machine Learning Human-Computer Interaction Human-Computer Interaction (HCI) Human-Computer Interaction, Explainable AI, Responsible AI. Human-Computer Interaction, Responsible AI, Computing for Healthcare, Ubiquitous Computing, Multimodal Machine Learning Human-computer interaction, artificial intelligence in education, computer supported collaborative learning and work, human-AI interaction, learning sciences and technologies, cognitive science. Human-computer interaction, artificial intelligence, accessibility, augmented reality, human-AI interaction Human-computer interaction, human-AI interaction, responsible AI Human-robot interaction Hyperparameter optimization I study visual perception from multiple perspectives: human vision, computer vision, robotic vision, and artistic vision. To me, visual perception presents not just a fascinating computational problem, but more importantly an intelligent solution for large-scale data mining and pattern recognition applications. Image and Video Processing, Visualization, Graphics & HCI Imaging and vision, AI-empowered scientific observation In recent years, mantle and core structure and dynamics, seismic hazard assessment, planetary seismology, induced seismicity, geo-energy, energy system modelling, deep underground laboratories, earthquake physics, detection and characterisation of gravitational waves Information Retrieval and Geographic Information Systems (GIS) Information Retrieval and Machine Learning Information Science and Systems Information, Data, Network, and Communication Sciences (IDNCS) Integrated Circuits (INC) Integrated Circuits and Systems Intelligent Interaction, Embodied Intelligence Interactive Embodied Intelligence powered by World Model, Dexterous Control and Sensing, and Embodied Foundation Model. Interactive Learning Interoperability of heterogeneous distributed AI (and AAI) systems, Hypermedia Multi-Agent Systems, Web of Things, Applications in Industry Interpretability IoT and Wearables Technology Knowledge Transfer LLM Language models Language understanding Language-model reasoning Large Scale Machine Learning Large models, robotics, and neuro-symbolic AI, and the interdisciplinary field of AI for Science Large-model Theory, Foundations of AI Large-scale Bayesian dynamic modeling, machine learning for health, computational neuroscience Large-scale Model Intelligent Robots Large-scale Models and Data Mining Large-scale Models and Natural Language Processing Learning & Planning Learning from Feedback and Interaction Learning theory Learning through interaction Life cycle sustainability assessment and optimization, Multi-scale modelling, Surrogate modelling, Symbolic regression Lifelong Learning Light-field Intelligent Imaging Theory and Technology, AI + Astronomical Telescope Logic & Philosophy ML Systems ML for Science ML in the Brain Sciences ML/AI Curriculum Development Machine Learning & Computational Neuroscience Machine Learning & Education Machine Learning & Natural Language Processing Machine Learning & Optimization Machine Learning & Robotics Machine Learning Theory Machine Learning and Data Science Machine Learning for Healthcare Machine Learning for Science Machine Learning for Social Good Machine Learning for Social Impact Machine Learning in Scientific Applications Machine Learning, Deep Learning & Reinforcement Learning Machine Learning, Deep Learning & Robotics Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision Machine Learning, Deep Learning, Computer Vision, Reinforcement Learning Machine Learning, Explainability, Fairness and ML Systems Machine Learning, Genomics & Health Machine Learning, Medical Data Science Machine learning Machine learning and statistical learning theory, scalable stochastic and distributed optimization, randomized numerical linear algebra, dimensionality reduction. Machine learning for geodetic, geophysical and climate-related problems Automation and anomaly detection Time series analysis and prediction Machine learning security, privacy, robustness, cryptography Machine learning systems Machine learning theory Applied and computational harmonic analysis Mathematical signal processing Data science, statistics Machine learning, causality Machine learning, information retrieval and AI for Science Machine-learning applications for conflict data, AI and technology governance, AI for Good Mainly engaged in research related to multimodal large models and natural language processing. Materials innovation, nanoparticles design and synthesis, spectral and digital pathology, multi-scale multimodal imaging, from concept to clinics Mathematics of Data Science, High Dimensional Probability, Random Matrices, Graph and Network Theory, Theoretical Computer Science, Statistical and Computational Tradeoffs. Mechanistic interpretability of artificial neural networks, embodied cognition and learning, reinforcement learning, deep-learning applications for video analysis. Medical and surgical roboticsm Learning from demonstration for robot-assisted surgery, Semantic intelligence in surgical vision and medical imaging, RL for autonomous control, Digital twins for patient specific designs and training- AI for robotic system design Meta-learning Metals and alloys; AI for materials discovery; Defect engineering; Materials for extreme environments Micro/Nano Electro Mechanical Systems (MEMS) Mobile Robotics, Spatial AI, embodied AI, physical AI, robot learning, (mobile) manipulation, mobile robot navigation, robot control, drones, humanoids Model evaluation Monitoring Health; Mobile Health; Wearable Technology; E-Textile; Intelligent Materials; Internet of Things; Health and Society. Multi-agent systems, human-AI collaboration, and machine learning for social impact. Multiagent Systems Multimodal Large Models Multimodal Machine Learning, Autonomous Driving My research interests have been in the broad areas of signal processing, machine learning, information theory, quantum systems, error correcting codes, communications, electronic circuits, and neural computation. Nanoscale Materials, Devices, and Systems Natural Language & Cognition Natural Language Processing & Deep Learning Natural Language Processing & Speech Natural Language Processing Knowledge Representation Reasoning NLP for Education Natural Language Processing, Information Retrieval, Citation Recommendation, Citation Generation, Reinforcement Learning Birdsong Natural Language Processing/Virtual Assistants Natural Language and Speech Processing Natural language processing Natural language processing, Generative AI, Computational social science, Crowdsourcing Natural language processing, computational social sciences, multimodal tracking and understanding of human behavior. Natural language processing, language grounding to vision and robotics, situated human-machine communication, interactive task learning. Natural language processing, machine learning, trustworthy AI, AI safety, and AI evaluation. Neural hardware, Perception, Control, IoT, Robotics, Audition, Vision Neuromorphic Hardware, NeuroAI, Substrates for Intelligence Neuromorphic hardware, AI accelerators, in-memory computing, event-driven sensing, Edge AI. Neuroscience, Computational Cognitive & Neuro-science Next-generation foundation models, AI agents, and their economies Non-Convex Estimation Nonparametric Inference Numerical Analysis, Scientific computing, Computational fluid dynamics, Computational Astrophysics, Computational Geoscience, Modeling and simulation in Biology, Uncertainty quantification, Data driven modeling and computation, Foundations of Machine learning Ocean and human microbial community genomics Bioinformatics Use of machine learning in microbial ecology Open model development Operating Systems & Networking (OSNT) Optics + Photonics Optimization Optimization ; Reinforcement Learning; Algorithms and Complexities ; Trustworthy AI Optimization and Game Theory Optimization for machine learning, federated learning, distributed and decentralized machine learning, privacy, unlearning Our group tries to understand the relation between changes in the DNA and their impact on human traits and disease. For this purpose we develop computational methods to predict: the impact of genomic variants, gene-disease associations, and drug binding sites. For these purposes we develop or tailor deep learning models to our applications. Our mission and dedication is to create robots and intelligent systems that are able to autonomously operate in complex and diverse environments. Photonics, materials, nanofabrication Physical Electronics (PHY) Physical Sciences Physics-augmented machine learning, Molecular design, Generative models, Optimization, Catalysis, Computational chemistry Political Economics, EconCS, Democracy, (Computational) Social Choice, Mechanism Design, Applied Game Theory Political Theory, Philanthropy, Ethics and Technology Power and Energy (ENE) Priors with Domain Knowledge Privacy-Preserving ML Private fine-tuning Probabilistic Reasoning, Machine Learning & Sustainability Probabilistic modeling Programming Languages and Software Engineering Programming Systems (PS) Programming languages and compilers, software engineering, computer security, machine learning, education technologies Public Policy Quantum Artificial Intelligence, Quantum Information and Computing Quantum Computing Quantum Computing, Communication, and Sensing Quantum computing, formal verification, AI for systems Recommendation Systems and Machine Learning Rehabilitation robotics, assistive devices, wearable robotics and sensors, 24h monitoring of patients, sleep research, pattern recognition (snoring, apnea, sleep posture, gait patterns, different activities of daily living) Reinforcement Learning & Interactive Learning Reinforcement Learning, Machine Learning, Computational Game Theory, Adaptive Human Computer Interaction. Reinforcement Learning, Multi-agent learning, sequential decision making problems, imitation learning Reinforcement learning Reliable machine learning Remote sensing. Publication and citation data. Big data. Network analysis. Representation Learning Research on Intelligent Chips, High Energy-Efficient Circuits and Systems Resilience; Critical infrastructure; Energy networks; Power grids; Cascading failures; Robot Agents Robot learning Robot manipulation Robot perception Robot safety Robotics Robotics & Control Robotics & Machine Learning Robotics & Reinforcement Learning Robotics and Autonomous Systems Robotics, Computer Haptics Robotics, Computer Vision Robotics, Control, Reinforcement Learning Robotics, Decision Theory & Autonomous Vehicles Robotics, Motion Modeling, Control, Physics-based simulation, Motor Learning Robotics, Robot learning, Robot vision, Event cameras, Autonomous Drones, Flying cars, Self-driving cars, computer vision, Deep learning Robust Machine Learning Robustness Under Distribution Shift Safe and Reliable Artificial Intelligence, Robust and Fair Deep Learning, Certification of Machine Learning Scientific Computing (SCI) Security (SEC) Security and Cryptography Security and privacy Seismology, earthquakes forecasting and predictability , induced seismicity, statistical seismology, deep geothermal energy, CO2 storage. Self-Driving Cars Self-improving AI, AI for Computing Systems, Efficient AI Semantic parsing Signal Processing Signal Processing (SP) Social Networks Social Networks & Data Mining Social and Economic Effects of AI Social computing systems that have pro-social outcomes, with applications to social media, education, collaboration, social justice, and gig economy. A main interest is designing systems that give people more autonomy and democratize power that is otherwise in the hands of a centralized authority. Spatial AI, Physical AI, Video World Models Spatial Intelligence, Robotics, Foundation Models, World Models. Spectral Methods Speech and Natural Language Processing, Multimodality and Knowledge Representation, Understanding, Generation, Reasoning, Human-computer Dialogue, Trustworthy AI Statistical Learning Statistical Machine Learning Statistical Machine Learning & ML systems Statistics in Neuroscience Stochastic Finance, Rough Analysis, Risk Management, Revervoir Computing, Implicit Regularization, Bayesian Optimization, Deep Hedging, Randomization in AI Stochastic models, financial mathematics, insurance mathematics, risk theory, probability theory, machine learning Structured Representation Learning, Science4AI, AI4Science Sustainability, causal inference, evaluation of public policies, simulation and prediction Sustainable next-generation lithium-ion and sodium-ion batteries, electrochemical conversion of CO2 to synthetic fuels, lab automation, AI-supported workflows Systems Theory, Control, and Autonomy Systems and Networking Systems and control theory, formal methods, machine learning for verification and control, uncertainty quantification, autonomous and cyber-physical systems, robotics. Systems for AI Systems, Networking, and Architecture Technology-supported learning; Artificial intelligence in education; Learning and instruction; Learning sciences; STEM learning The basic theories of AI, machine learning, large model safety and alignment, generative AI, etc. The cross-empowerment between artificial intelligence and software engineering: AI for SE and SE for AI The cross-empowerment of artificial intelligence and neuroscience, brain-computer interface algorithms The research interests lie in the intersection of AI and science. Theoretical Foundations of AI Theoretical Neuroscience, Machine Learning, Satistical Physics, Computational Cognitive & Neuro-science Theory (THY) Theory and science of deep learning, large language models. Theory of Computation Theory of Deep Learning Theory of Unsupervised Learning Time Series Trustworthy Machine Learning Trustworthy machine learning for healthcare and neuroscience Uncertainty VG , AI Visual Effects, Physics, Graphics & Vision adaptive learning, personalized education, educational technology, learning analytics algorithmic research methods, strategic management, organization theory, digital innovation, online communities, open source software development artificial intelligence, computational neuroscience, systems neuroscience, learning algorithms, algorithmic development, reinforcement learning, embodied learning biodiversity, environmental policy, data justice, decision theory, social-environmental systems cancer, machine learning, sequencing causal inference, distributional robustness, ML in the sciences cognitively plausible agent-based models of human behavior in built environments; sensor networks for motion detection and modelling; investigating the potential of LLMs for cognitive psychology; AI-based design support and co-design for architects and urban planners; human-computer interaction and user experience with financial systems and their impact on risk taking and decision making. computational design, genAI, physics-based simulation, digital fabrication, computer graphics, interactive techniques computational interaction, virtual/mixed reality, predictive mobile health monitoring, haptic feedback systems physical computing, wearable devices. computer-aided surgery reinforcement learning data and sensor fusion augmented reality data management, gen AI + databases, vector embedding search, multi-modal search, hw-sw codesign for gen AI + databases data science in oncology, multiomics analysis, therapy prediction event-driven deep neural networks, edge computing, audition, continual learning, IoT, high energy-efficient neural accelerators explainable AI, right to explanation, automated decision-making, human in the loop, algorithmic fairness, privacy & AI, policy implications of AI fast algorithms for graph problems and convex optimization, along with applications in machine learning and scientific computing. gravitational waves, general relativity, computational physics, statistical inference human-ai collaboration, intelligence augmentation, visual analytics, information visualization, computational linguistics, digital humanities. integrative socio-technical design; human-AI teaming; impact of digitization on careers; management of uncertainty by individuals, teams, and organizations; entrepreneurship and innovation; good human resource management practices law, economics, computational social science, political science, natural language processing, machine learning, causal inference learning systems, learning-based control, safe learning, optimal control, optimization machine learning, reinforcement learning, Bayesian optimization, robustness and safety, uncertainty, submodularity machine learning, time series, medical data, genomics, cancer, intensive care medical foundation models, LLMs, multimodal LLMs, in-context learning, knowledge-injection, RAG medical image computing, interface of machine learning, medical imaging, and image-based diagnostics. micro- and nanorobots, drug delivery, diagnostics natural language processing, computational linguistics, machine learning, statistics neuronal representations, rule learning/generalisation, insight learning, imitation, theory of mind neurorehabilitation, rehabilitation robotics, assessment-driven therapy, minimally-supervised therapy, automated difficulty adaptation probabilistic graphical models, evolutionary modeling, precision medicine, genomics, multi-omics data integration, cancer, RNA viruses program generation, signal processing, performance optimization, program analysis, domain-specific languages, machine learning, FPGAs psychiatry psychosomatic medicine brain connectivity generative models Bayesian inference Bayesian model selection quantum engineering, quantum control, quantum simulation and computation remote sensing computer vision Earth observation image understanding robotic manipulation, underwater robotics, reinforcement learning, multiphysical surrogate modeling and optimization social and technological innovations for poverty reduction, child health and nutrition, responsible supply chains between Africa and Europe, AI for sustainable development, evidence-based policies social networks, graph algorithms, information visualization; applications in sports, digital humanities, social media, collective behavior, archaeology, political science, anthropology, and other domains social robotics, embodied cognition, neuroaesthetics, neurocognition, performing arts, adversarial AI, human-AI interaction soft materials, constitutive modelling, material design statistical learning, reliable and robust ML strongly interacting systems, machine learning of phase transitions, high performance computing, scalability of ML algorithms supply chain risk, sustainable supply chain management, AI in humanitarian operations and logistics, predictive/prescriptive analytics for operational supply chain data, addressing data scarcity with generalizable ML models and federated learning techniques systems biology, metabolism, mass spectrometry, metabolomics, lipidomics, spectral identification, molecular networks, personalized health systems for machine learning, cloud computing, distributed systems, energy modeling theory: control, optimization, system theory, games, decision making, RL applications: energy, power, social networks transport optimization; data analytics and automated decision making; combinatorial optimization; predictions; public transport visual machine perception, computer vision, machine learning, reuse, circular construction, reality capture, material recognition RoleAll roles Faculty Principal investigator Affiliated Adjunct Emeritus Visiting OpportunitiesAll researchers Application routes recorded
