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Giuseppe FRANZE'View profile

Professor

• Constrained Predictive Control
• Networked Control Systems
• Cyber-Physical Systems
• +7 more

Giuseppe FRANZE' is a Full Professor at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria since 2022. He has over 200 publications in archival journals, book chapters, and conference proceedings, with a focus on constrained predictive control, networked control systems, and resilient control for cyber-physical systems. His research includes theoretical and applied projects funded by MIUR/MUR, European Union, and international institutions. IEEE Senior Member (2019) Associate Editor for IEEE/CAA Journal of Automatica Sinica Guest Editor for Special Issue on Resilient Control in Large-Scale Networked Cyber-Physical Systems Organized sessions at CoDIT, ETFA, CASE conferences Collaborations with Carnegie Mellon, Concordia University, Georgia Tech, and others His research spans constrained predictive control, fault-tolerant strategies, obstacle avoidance for autonomous vehicles, and machine learning integration in control systems. Recent articles emphasize resilient control under network attacks, encrypted MPC, and reinforcement learning for multi-agent systems. He received Best Paper and Best Reviewer awards at international conferences. Best Paper - CoDIT’19 Best Reviewer - IEEE ICAS 2021 FRANZE' has taught undergraduate and graduate courses in Automatic Control, Digital Control, and Robotics at the University of Calabria for over 25 years. He has chaired institutional committees, including the Degree Course Council for Automation Engineering and the Research Committee at DIMEG. His scientific partnerships include institutions like Concordia University, Northeastern University, and Université Libre de Bruxelles.

• Geometric Deep Learning
• Computer Graphics
• Computer Vision
• +2 more

Dr. Simone Foti is a Research Fellow at the Department of Computing, Faculty of Engineering in Imperial College London . He holds a PhD from University College London (UCL) and has held internships at Disney Research Studios and Adobe Research. Education : PhD (2023), MRes (2019), MSc (2017), BSc (2015) His research spans Geometric Deep Learning , Computer Graphics , and Computer Vision , focusing on improving 3D generative models for applications in AR/VR, the metaverse, medical imaging, and digital human creation. Recent work explores problems in non-Euclidean domains like graphs and meshes, with trends including latent disentanglement , 3D reconstruction , and medical applications of geometric AI. Collaborations include institutions like Carnegie Mellon University, Politecnico di Milano, and UCL, with publications across top venues such as NeurIPS , CVPR , and Computer Graphics Forum . Current projects include UV-free texture generation and mesh sampling techniques .

• Control Systems
• Robotics
• Power Systems
• +2 more

Professor Damiano Varagnolo is affiliated with the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), where he conducts research spanning control systems, robotics, power systems, and data-driven modeling. His work bridges theoretical advances with practical applications in underwater vehicles, medical rehabilitation, and energy infrastructure. His research focuses on: Development of formation control algorithms for autonomous underwater vehicles (AUVs) and snake robots Transient stability enhancement for grid-forming converters in renewable energy systems Data-driven modeling of physiological signals for wheelchair propulsion and industrial processes Distributed optimization for underwater communication networks Recent publications (2024-2025) demonstrate strong emphasis on: Underactuated vehicle control using hand position concepts Energy expenditure estimation through physiological signal processing Consensus protocols for JANUS-based underwater networks Educational innovation through control-themed outreach initiatives like the Advent Calendar project He actively collaborates with NTNU colleagues across engineering disciplines and contributes to curriculum development through graph-theoretic approaches for educational coherence.

• Artificial Intelligence
• Neuroevolution
• Evolutionary Dynamics
• +3 more

Arend Hintze is a Professor of Microdata Analysis at Dalarna University's Department of Information and Technology. His research bridges artificial intelligence, evolutionary biology, and computational psychiatry, focusing on neuroevolution, cellular automata, and digital health applications for bipolar disorder. Key research themes include: Evolutionary dynamics in computational models AI for mental health prediction Cellular automata and self-replication Large language model behavior analysis Recent publications demonstrate interdisciplinary work across computer science, genetics, and psychiatry, with emphasis on: Neuroevolution and information transfer Fitness landscape navigation Bipolar disorder early warning systems Evolutionary game theory applications His work frequently employs agent-based modeling, digital evolution, and deep learning techniques.

Seonwook ParkView profile

Researcher

• Eye Tracking
• Deep Learning
• Gaze Estimation
• +3 more

Seonwook Park is a Researcher at Lunit Inc. , focusing on advancing eye-tracking technology through deep learning. He earned his PhD in June 2020 from ETH Zurich 's Department of Computer Science under the supervision of Prof. Dr. Otmar Hilliges. His research bridges eye tracking and deep learning , aiming to make eye-tracking accessible in uncontrolled, everyday environments. This includes gaze estimation from monocular RGB images, real-time 3D gaze tracking, and self-learning transformations for gaze redirection. His work often intersects with computer vision and human-computer interaction , as seen in his contributions to UI adaptation via eye movement analysis. His publication record spans top conferences like NeurIPS , ECCV , and ICCV , reflecting expertise in gaze estimation , hand pose estimation , and visual SLAM . Notably, he won the Best Presentation Award at ETRA 2018 . He has supervised multiple theses, including MA and BA projects, and served as a teaching assistant for courses such as Machine Perception and Human-Computer Interaction at ETH Zurich.

• Asteroids
• Guidance Systems
• Planetary Science
• +4 more

Dr. Iain Martin serves as a Senior Lecturer (Teaching and Research) in the School of Computing at the University of Dundee, specializing in space mission simulation technologies with emphasis on planetary surface modeling and autonomous landing systems. His academic credentials include: PhD in Virtual Planetary Surfaces for Testing Vision Guided Landers (University of Dundee, 2001) MSc in Applied Computing (University of Dundee, 1996) Research focuses on asteroid/planetary scene generation , thermal imaging simulation , and real-time navigation systems through the PANGU project. His work bridges computer graphics, spacecraft guidance engineering, and event-based sensor development, producing tools used by space agencies for mission validation. Key innovations include realistic lunar landing simulations and thermal inertia modeling for asteroid environments. Recent publications (2022-2024) demonstrate escalating integration of neural networks with space simulation, particularly in congestion control for space communication networks and event-driven sensor modeling. The research trajectory shows deepening collaboration with ESA on mission-critical testing frameworks. No scientific awards were documented in the source materials. Dr. Martin supervises research projects including the MASIVE fingerprint dataset for election security, and leads ESA-funded initiatives PANGU v5 (2018-2023) and PANGU-4 (2014-2017). His grant portfolio emphasizes practical tool development for space mission planning with direct industry applications. He co-leads the Dundee PANGU development team, which maintains active partnerships with ESA and international space agencies. The group regularly contributes to Clean Space initiatives and presents at International Astronautical Congresses, focusing on sustainable mission design and vision-guided landing validation.

• Computer Graphics
• Geometry Processing
• Computational Topology
• +4 more

Michela Spagnuolo is a Research Director at the Italian National Research Council’s Institute of Applied Mathematics and Information Technology (CNR-IMATI-GE) since 2001. Her work bridges Computer Graphics , Geometry Processing , and Computational Topology , with applications in 3D Shape Analysis , Cultural Heritage , and Bioinformatics . Co-supervised 6 PhD theses (plus 2 ongoing) Associate Editor for journals like The Visual Computer and Computers&Graphics Chair of conferences including Shape Modeling International and EG Workshops on 3D Object Retrieval Research Interests : Focus on geometric and semantic modeling of 3D objects , computational topology for shape analysis , and structural/similarity evaluation . Her work enables advanced 3D search engines , semantic annotation , and medical imaging applications . Article Trends : Recent publications emphasize mesh quality indicators for Virtual Element Methods in engineering simulations and semantic-driven 3D model analysis for medical diagnostics and cultural heritage . Key subtopics include topological decomposition , data processing services , and multi-scale modeling . Scientific Awards : Fellow of the Eurographics Association (2014) Notable Contributions : Led projects like IQmulus (geospatial data analytics) and MultiScaleHuman (medical shape modeling). Pioneered CIDOC CRMdig for cultural heritage documentation and developed techniques for kernel computation in polyhedra .

• Microelectronics
• Image Sensors
• Bio-inspired Algorithms
• +3 more

Juan Antonio Leñero Bardallo is a Professor at the University of Seville, Faculty of Physics, Department of Electronics and Electromagnetism. His research focuses on bio-inspired microelectronics, event-driven vision sensors, and CMOS integration techniques. Research Group: MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA Key Projects: SAMANTA2 (robotic vision), CAVIAR (event-based vision), VULCANO (event-driven imaging) His work spans asynchronous image sensors, thermography for medical diagnostics, stacked diodes for energy harvesting, and neuromorphic engineering. Recent publications highlight low-power sun sensors, self-powered imaging systems, and thermographic applications in dermatology. He has contributed to books on analog electronics and radiation detection. Patents include solar position sensors and electron energy detectors for scanning electron microscopy. His teaching subjects cover experimental techniques, integrated sensor design, and bio-inspired algorithms.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +4 more

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

Maria GiniView profile

Professor

• Artificial Intelligence
• Robotics
• Intelligent Agents
• +6 more

Maria Gini is a distinguished Professor in the Department of Computer Science and Engineering at the University of Minnesota's College of Science & Engineering. She holds the titles of CSE Distinguished Professor and Distinguished University Teaching Professor, reflecting her exceptional contributions to both research and education in computing. Dr. Gini's research focuses on artificial intelligence, robotics, and intelligent agents, with particular expertise in decision making for autonomous agents across various application domains. Her work spans swarm robotics, distributed methods for task allocation, robot exploration of unknown environments, navigation in dense crowds, and conversational agents. She leads the Next Generation Robotics Laboratory and has directed significant projects including MAGNET (Intelligent Agents for Electronic Commerce) and TAC-SCM (Autonomous Agents for Supply-Chain Management). Her recent publications demonstrate a consistent trajectory toward increasingly sophisticated autonomous systems capable of operating in complex, dynamic environments. The research shows strong interdisciplinary connections between robotics, artificial intelligence, and real-world applications in emergency response, environmental monitoring, e-commerce, and social interaction. A notable trend in her recent work is the emphasis on diversity and inclusion in AI research and education. Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring (PAESMEM), 2025 Winner of the IJCAI Donald E. Walker Distinguished Service Award, 2024 ACM/SIGAI Autonomous Agents Research Award, 2022 ACM Fellow, IEEE Fellow, and AAAI Fellow Numerous university-level awards for teaching and service Dr. Gini has advised an impressive 34 PhD students throughout her career, demonstrating her commitment to mentoring the next generation of computer scientists. She has secured significant research funding through grants from NSF and other agencies, supporting projects like the Summer Computing Academy for high-school students and MinneWIC (the ACM-W Celebration of Women in Computing in the Upper Midwest). Her service contributions include leadership roles in major professional organizations including serving as President of the International Foundation on Autonomous Agents and Multi-Agent Systems (IFAAMAS) and General Chair of IJCAI 2021. In addition to her research laboratory, Dr. Gini has been instrumental in establishing several important initiatives including the Summer Computing Academy, MinneWIC, and DREU (Distributed Research Experiences for Undergraduates). Her work extends beyond traditional academic boundaries through collaborations with industry and government agencies focused on applying AI to real-world challenges in emergency response, commerce, and environmental sustainability.

Afroditi PsarraView profile

Associate Professor

• Art/Science Cybernetics
• Digital Fabrication
• E-textiles
• +9 more

Afroditi Psarra is an Associate Professor of Digital Arts and Experimental Media (DXARTS) at the University of Washington, where she runs the DXARTS SoftLab. Her work bridges art, science, and technology with a focus on critical discourse in the creation of artifacts. She has presented her work at internationally renowned media art festivals such as Ars Electronica, Transmediale, CTM, Eyeo, Piksel, and WRO Biennale, as well as venues like Bozar, Onassis Stegi, EMST (Greek Museum of Contemporary Art), and Walker Art Center. Dr. Psarra's research centers on the art and science interaction with a critical discourse in the creation of artifacts. She is particularly interested in the use of the body as an interface of control, and the revitalization of tradition as a methodology of hacking existing norms about technical objects. Her practice builds on and extends the work of Cyber and Techno-Feminism(s) and the idea of female (and feminized) bodies as matrices of information. Her educational background includes a Ph.D. from Complutense University of Madrid, Spain (2014). Her recent publications and projects demonstrate a consistent exploration of wearable technology, e-textiles, physical computing, and sound art. Psarra's work often examines the intersections of technology with gender, embodiment, and cultural critique, particularly through her investigations of voice assistants, RF technologies, and bodily interfaces. She frequently collaborates with other artists and researchers across disciplines to create interactive installations and performances that challenge conventional technological paradigms. Dr. Psarra's scholarly output spans multiple domains including human-computer interaction, media art, performance studies, and critical technology studies. Her work consistently addresses themes of technological embodiment, materiality, and the politics of interface design across her various projects from voice assistant subversion to RF ecology explorations. 2019 Bergstrom Award for Art & Science Mellon Faculty Fellow 2019-20 As an educator, Dr. Psarra teaches courses in mechatronic art, material and cultural bias in algorithmic systems, and special topics in digital arts. She has mentored numerous students through their creative research projects and has been involved in various interdisciplinary initiatives at the University of Washington, including collaborations with the Systems Biology program. Her teaching emphasizes hands-on experimentation, critical making, and the exploration of technology through artistic practice. Dr. Psarra leads the DXARTS SoftLab, which serves as a research space for exploring soft materials, electronics, and interactive systems. The lab supports projects that bridge traditional craft techniques with digital technologies, particularly focusing on e-textiles, wearable computing, and embodied interaction. Under her direction, the SoftLab has become a hub for interdisciplinary research that combines art, engineering, and cultural critique.

• Autonomous Systems
• Biomimetic Robotics
• Unmanned Underwater Vehicles
• +7 more

Dr Euan W McGookin is a Senior Lecturer in Autonomous Systems & Connectivity at the University of Glasgow, based in the Aerospace Sciences division of the James Watt Building South. He coordinates Glasgow-delivered aerospace degree programmes in Singapore and serves on the IFAC Technical Committee on Marine Systems, underlining his sustained engagement with both local and international academic activities. Education: 1st Class Honours Master of Engineering in Avionics, University of Glasgow PhD in Optimisation of Sliding Mode Controllers for Marine Applications, University of Glasgow (1997) Research Interests Dr McGookin’s core expertise lies in the design, simulation, control and physical realisation of autonomous robotic systems. His work spans Autonomous Underwater Vehicles (AUVs) , Unmanned Aerial Vehicles (UAVs) , Planetary & Terrestrial Rovers , and Biomimetic Robotics . He is particularly recognised for applying biologically inspired principles to robotic locomotion, navigation and control. Complementary themes include advanced control methodologies—Sliding Mode Control, H-infinity, Inverse Model Control—optimisation heuristics, guidance & navigation, fault detection & isolation (FDI), and system health monitoring for both terrestrial and space applications. Publication Trends Across 80 publications from 1995 to 2025, his work has evolved from early genetic-algorithm-based controller optimisation for marine vessels to cutting-edge multi-rover mission planning and health monitoring for planetary exploration. Recent outputs (2022–2025) concentrate on micro-rover coordination, friction modelling for planetary soils, reinforcement-learning-driven sensor fusion, and robust health-monitoring architectures, reflecting a strategic pivot toward space robotics while retaining strong roots in control theory and autonomous systems. Scientific Awards & Fellowships Member, IFAC Technical Committee on Marine Systems Grant & Advising Narrative While specific grant values are not disclosed, his continuous funding stream is evidenced by sustained publication output, international conference leadership, and ongoing supervision of postgraduate projects. Dr McGookin advises a steady cohort of PhD and MSc students whose theses align with his research themes—ranging from rover fault diagnosis to biomimetic AUV coordination—thereby fostering the next generation of control and robotics engineers. Laboratory & Team Dr McGookin heads research activities within the James Watt Building South, leveraging interdisciplinary laboratories that integrate simulation suites, rapid-prototyping facilities for AUV and UAV subsystems, and dedicated test rigs for biomimetic propulsion and rover mobility studies. Collaborative networks extend across the University of Glasgow’s Aerospace Engineering group, Singapore Institute of Technology partners, and international consortia such as ESA and IFAC.

Alexis MaldonadoView profile

Researcher

• Robotics
• Robotic Manipulation
• Grasping
• +2 more

Alexis Maldonado serves as a Researcher and Manager of the robotics laboratory at the Institute for Artificial Intelligence (IAS), University of Bremen, where he oversees all hardware (robots, sensors) and software systems (ROS, drivers, calibration). Currently pursuing his PhD under Prof. Michael Beetz, he specializes in practical robotic implementations for real-world environments. His core research focuses on robotic grasping, manipulation, sensor integration for robot hands/arms, and end-to-end systems integration . Key projects include TUM-Rosie integration, the Boxy mobile manipulator, and REFILLS logistics robots. His work bridges theoretical robotics with deployable solutions in domains like warehouse automation and assistive kitchens. Analysis of his 15 most recent publications (2009-2025) reveals consistent emphasis on mobile manipulation dexterity , particularly tactile feedback for unmodeled objects, sim-to-real transfer for fluid handling, and perception-action loops in human-robot collaboration. His methodology prioritizes hardware-software co-design for robustness in unstructured environments. Maldonado actively contributes to the IAS research ecosystem through laboratory leadership and hands-on development of cognitive robotic platforms, supporting both academic research and industry applications in service robotics.

Hoda AllahbakhshiView profile

Researcher

• GIScience
• Spatio-temporal data analysis
• Sensor-based human mobility analysis

Hoda Allahbakhshi is a Researcher at the Digital Society Initiative of the University of Zurich , affiliated with the Faculty of Science and Department of Geography . Her work focuses on GIScience , spatio-temporal data analysis , and sensor-based human mobility analysis , particularly addressing accessibility challenges for mobility-restricted individuals. Research Themes include: Development of spatial accessibility analytics frameworks Integration of multi-sensor tracking data (GPS, accelerometers) Age-specific physical activity detection modeling Participatory approaches to urban accessibility mapping Her scientific contributions (2017-2024) analyze mobility patterns through big data and urban infrastructure interactions , with recent emphasis on microscale street elements and inclusive urban environments . Current affiliations: Department of Geography , Digital Society Initiative (University of Zurich).

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +6 more

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.