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Kizzmekia Corbett-HelaireView profile

Assistant Professor

• Viral immunology
• mRNA vaccine development
• Pandemic preparedness
• +4 more

Kizzmekia Corbett-Helaire is an Assistant Professor of Immunology and Infectious Diseases at the Harvard T.H. Chan School of Public Health , where she leads an interdisciplinary lab of eleven researchers. Her work bridges molecular virology , viral immunology , and artificial intelligence to advance vaccine technologies for pandemic preparedness and address global health inequities. Her research focuses on: Developing mRNA vaccines and nanoparticle-based platforms for broad protection against respiratory viruses (SARS-CoV-2, influenza, RSV) Understanding viral pathogenesis and immune correlates of protection through nonhuman primate models Promoting health equity by improving vaccine accessibility for marginalized communities Her 2024 Hans Sigrist Prize recognizes her groundbreaking work on the Moderna mRNA vaccine and ongoing innovations in nanoparticle vaccine delivery systems. Recent publications highlight her team's contributions to: Elucidating structural biology of viral spike proteins Optimizing cross-group influenza immunity Characterizing long-term vaccine durability in primate models Engineering universal coronavirus antibodies Advancing variant-specific vaccine strategies Developing high-throughput serological assays Scientific awards include: Hans Sigrist Prize 2024 (University of Bern)

• Artificial Intelligence
• Digital Twins
• Time Series Analysis
• +5 more

Stefan Amstutz serves as a Senior Researcher at the iHomeLab within the Institute of Electrical Engineering at Lucerne University of Applied Sciences and Arts (HSLU), School of Engineering and Architecture. His work integrates artificial intelligence with building automation, rehabilitation systems, and home care technologies through innovative digital twin platforms and explainable AI frameworks. His academic credentials include: Doctorat d'Automatique from Université de Haute-Alsace Master of Science in Engineering (MSE) specializing in Mechatronics and Automation from University of Applied Sciences Northwestern Switzerland Bachelor of Science in System Engineering specializing in Industrial Automation from University of Applied Sciences Northwestern Switzerland CAS in DevOps Leadership and Agile Methods from HSLU CAS in Cloud and Platform Manager from HSLU Dr. Amstutz's research centers on two interconnected pillars: Digital Twin Architectures for intelligent building systems, utilizing hybrid modeling and time series forecasting to enable real-time optimization of energy and operational performance; and Trustworthy AI Systems incorporating human-in-the-loop mechanisms for explainable decision-making in critical applications like VR telerehabilitation and home care monitoring. His methodology emphasizes user-centered design and safety-critical validation. Analysis of his publication trajectory reveals a strategic evolution from foundational control engineering in photovoltaic manufacturing (2014-2018) toward cutting-edge AI applications in building automation and healthcare (2019-2025). Recent work demonstrates increasing focus on explainability, anomaly detection, and human-AI collaboration, particularly in the RecoveryFun and CleverGuard projects. As lead researcher for HSLU's strategic initiatives including AI in Buildings (open-source digital twin platform), RecoveryFun (VR telerehabilitation decision support), and CleverGuard (long-term home care anomaly detection), he secures project funding through applied research grants targeting real-world implementation. His professional skills integrate Agile methodology, DevOps transformation, and cloud-native architecture with core competencies in reinforcement learning and statistical modeling. Dr. Amstutz operates within the iHomeLab research ecosystem, which specializes in intelligent home technologies through interdisciplinary collaboration between electrical engineering, computer science, and healthcare domains. The lab's infrastructure supports full-stack development of AI-powered services for real-time simulation, prediction, and optimization in building environments.

• Thermal Energy Storage
• Sorption Heat Storage
• Hydrogen Combustion Systems
• +3 more

Benjamin Fumey serves as a Lecturer at Lucerne University of Applied Sciences and Arts within the School of Engineering & Architecture and the Institute of Mechanical and Energy Engineering (IME). He leads the Research Group CC Thermal Energy Systems and Process Engineering, focusing on innovative thermal storage solutions. His work bridges academic research and industrial applications through numerous national and international projects. His research centers on thermal energy storage systems , particularly liquid sorption technologies for seasonal applications, hydrogen combustion systems, and carbon capture utilization. Key projects include SwissSTES PIT, Sorption heat storage demonstrators, Hydrogen fuelled cooking stoves for Nepal, and Carbon Capture & Industrial Utilization analysis. His work emphasizes practical implementation in building energy systems and renewable integration. Publication trends reveal consistent focus on sorption-based thermal storage since 2010, with recent work expanding into metal-organic frameworks for CO 2 adsorption (2025), neutron imaging of absorption processes (2022), and performance mapping of closed sorption systems (2023). His research spans fundamental material science to system-level building integration, with strong emphasis on seasonal storage applications and hydrogen energy solutions. Fumey actively contributes to international research coordination through leadership roles: Leader of Subtask E "Effective Component Performance with Innovative Materials" (2021-2024) for SHC Task 67: COMPACT THERMAL ENERGY STORAGE Leader of Subtask 3T "Component design for Thermo Chemical Materials" (2017-2019) for SHC Task 58 / ECES Annex 33 Significant participation in SHC Task 42 / ECES Annex 24 (2013-2015) His research group develops practical thermal storage solutions, including the Ton-Sorp wood stove with sorption heat pump and closed sorption storage prototypes. Current work focuses on enhancing energy density and system integration for building applications, with emerging projects in carbon capture utilization and hydrogen combustion technologies.

• Concrete Structures
• Prestressed Concrete
• Structural Dynamics
• +4 more

Prof. Dr. Harald Schuler is a Professor at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), where he serves as Head of the Institute of Civil Engineering, Head of the Concrete Construction Department, and Head of the Bachelor's Program in Civil Engineering. He teaches courses in Concrete Construction, Prestressed Concrete Construction, and Masonry Construction at the undergraduate level. His academic background includes: 1992-1997: Studies in Civil Engineering at FH-Konstanz 1997-1999: Studies in Civil Engineering at University of Kassel 2004: Doctorate (Dr.-Ing.) from University of the Federal Armed Forces with thesis on "Experimental and numerical investigations on damage to concrete under impact loading" Prof. Schuler's primary research interests focus on the load-bearing and deformation behavior of steel and prestressed concrete structures , with particular emphasis on punching shear, crack width limitation, and nonlinear material laws. His work in structural dynamics and earthquake engineering includes force and deformation-based earthquake analysis and direct time integration methods. He also investigates short-term dynamic effects, particularly explosion protection, and conducts material and component testing for concrete structures. His research bridges theoretical modeling with experimental validation to develop practical engineering solutions. His recent publication record shows a clear progression from fundamental material behavior under high strain rates to application-focused structural analysis. The most recent works demonstrate a strong focus on seismic behavior of reinforced concrete shear walls, particularly sliding deformation mechanisms. Earlier works focused on concrete behavior under impact loading, explosion scenarios, and high strain rate material properties. This evolution reflects a career trajectory from fundamental material research to structural system analysis with practical applications in earthquake and explosion engineering. No specific scientific awards or fellowships were mentioned in the provided information. Prof. Schuler actively supervises Bachelor's and Master's students and has led numerous research and service projects including: Experimental investigations for the Kunstmuseum Basel extension (2014) Study on sliding mechanisms in cyclically loaded concrete walls (2014) Structural expert roles for multiple University of Basel projects Consulting on short-term dynamic effects for the Roche Building 1 in Basel (2008-2010) As an active member of the Swiss engineering community, Prof. Schuler serves on the board of SIA Basel and SGEB (Swiss Society for Earthquake Engineering), contributing to professional standards and practices in structural engineering.

Oliver ChristView profile

Lecturer

• Psychophysiology
• Usability
• Human-Technology Interaction
• +6 more

Dr. Oliver Christ serves as a Lecturer at the School of Applied Psychology at the University of Applied Sciences Northwestern Switzerland (FHNW), where he has been actively teaching since 2013. His academic work bridges engineering psychology with health applications, focusing on human-technology interaction in diverse contexts. His research interests span psychophysiology, usability engineering, virtual reality applications, and prosthetics. Christ's work demonstrates strong interdisciplinary connections between psychology, human factors engineering, and digital technology development. He has made significant contributions to understanding human responses in virtual environments and developing practical applications for healthcare and education. Christ has published extensively in top-tier journals including ACM Transactions on Human-Robot Interaction and Frontiers in Virtual Reality, with recent work examining immersive VR in educational contexts, human-robot interaction, and cross-cultural usability. His publications reveal consistent focus on practical applications of psychological principles to solve real-world technological challenges. Finalist E-Learning Award 2009 for EREP 2.0 tools collection International HPH Award 2013 for outstanding scientific publication on psychoeducative multi-family groups As an educator, Christ teaches Biological Psychology (BSc), Work and Health (BSc), and workshops on renewable energy acceptance and media influence. He also contributes to continuing education through CAS Basic Psychology and CAS Digital Transformation programs. His professional activities include editorial board membership for Musculoskeletal Regeneration and guest editing for Biomedical Engineering Online.

• Physical Organic Chemistry
• Renewable Energies
• Biocatalysis and Biosynthesis
• +4 more

Fischer Fabian is a Professor at HES-SO Valais-Wallis's School of Chemistry and Life Sciences. He specializes in renewable energy systems, microbial electrochemistry, and wastewater treatment. His work focuses on bioelectrochemical technologies for hydrogen production, phosphate recovery, and sustainable chemical base generation. He leads research in microbial fuel cells (MFCs), microbial electrolysis cells (MECs), and photo-bioelectrochemical systems. Key projects include scaling up MFCs for wastewater treatment and energy production, developing voltage reversal prevention systems for large MFC stacks, and refining sewage sludge to recover phosphorus and critical materials. His research integrates interdisciplinary approaches combining electrochemistry, microbiology, and engineering. He collaborates with institutions like BFH-TI, CEKAtec AG, and academic partners across Switzerland. His team's innovations aim to advance circular economy practices through bioelectrochemical systems, with applications in energy, environment, and sustainable chemical production.

Stefano MintchevView profile

Assistant Professor

• Environmental Robotics
• Biodiversity Monitoring
• Autonomous Systems
• +7 more

Prof. Stefano Mintchev is an Assistant Professor at ETH Zurich's Department of Environmental Systems Science, leading the Environmental Robotics Lab since 2020. His research focuses on developing robots to explore complex natural environments, particularly forest canopies for ecological data collection. He holds a Ph.D. in Biorobotics from Italy’s BioRobotics Institute and has extensive postdoctoral experience in aerial robotics at EPFL. His work bridges robotics engineering and environmental science, emphasizing multimodal locomotion, perception, and soft manipulation for ecosystem assessment. Education: B.Sc./M.Sc. in Mechanical Engineering from University of Pisa/Sant'Anna School (2005–2010), Ph.D. in Biorobotics (2014). Professional roles include CTO of Foldaway Haptics (2017–2020) and contributions to projects like Mercedes-Benz’s VISION AVTR concept car. Research collaborations span international initiatives like FP6/FP7 EU projects and Switzerland’s NCCR Robotics. Research interests include arboreal robot development, environmental DNA sampling via drones, and biodegradable robotic components. His articles highlight innovations in aerial-tethered robots, tactile sensing systems, and user-centric agricultural drone applications. Lab affiliations include ETH Zurich and WSL (Swiss Federal Institute for Forest, Snow and Landscape Research).

• Synthetic Aperture Radar (SAR)
• Remote Sensing Technology
• Geomatic Engineering
• +4 more

Othmar Frey is a Senior Scientist and Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He leads the research group on SAR Remote Sensing Technology and is associated with the Chair of Earth Observation and Remote Sensing. His work focuses on developing advanced radar systems and applications, including car-borne and UAV-based SAR for deformation monitoring, multi-static SAR constellations, and tomographic profiling of snow and forest structures. Frey holds a Ph.D. (2010) and M.Sc. (2002) from ETH Zurich and the University of Zurich. Education: Ph.D. (Hons.) in Science (2010) from the University of Zurich, Switzerland; M.Sc. (Hons.) in Geomatic Engineering (2002) from ETH Zurich. Research interests span Synthetic Aperture Radar (SAR) signal processing, interferometry, tomography, and remote sensing applications for environmental and civil engineering challenges. Notable projects include railway substructure monitoring via TerraSAR-X data, development of compact SAR systems (GLSAR/GSSAR), and the Alpine Measurement Lab for studying mass movements. His team collaborates with agencies like ESA, Innosuisse, and the Swiss Federal Office for the Environment. Advising: Supervises PhD students like Magnus Heimpel and Fanyun Xu, with former advisees now at EMPA, Leica Geosystems, and ITU. Research teams include the Earth Observation and Remote Sensing group at ETH Zurich.

Chris SteffiView profile

Researcher

• Biomechanics
• Biomaterials
• Bone Tissue Engineering
• +3 more

Dr. Chris Steffi is a Researcher affiliated with the Department of Biomechanics at ETH Zürich. Their work focuses on developing advanced biomaterials and bioprinted systems for bone tissue engineering, osteoporosis treatment, and orthopaedic applications. Key areas of research include patient-specific organoid models for bone diseases, functionalized titanium surfaces, and mesoporous bioactive glass nanoparticles. Affiliation: ETH Zürich, Institute of Biomechanics (GLC H20.2) Contact: chris.steffi@hest.ethz.ch Research emphasizes biomaterial-cell interactions, osteogenesis imperfecta modeling, and strategies to enhance bone-implant integration. Recent work explores 3D bioprinting techniques for creating heterocellular organoids that emulate physiological bone remodeling processes. Studies also investigate polyphenol-based functionalization of titanium implants to modulate osteoclast activity and improve implant longevity.

• Analog Circuits Design
• Mixed-Mode Electronics
• Low Power Electronics
• +5 more

Maher Kayal is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, affiliated with the School of Engineering (STI) and the Department of Mechanical and Process Engineering (STI-SMT). His primary role involves academic leadership in electronics and energy management research. He holds a Master's and PhD in Electrical Engineering from EPFL (1983 and 1989 respectively), and has been with the Electronics Laboratory (ELab) since 1990, directing the 'Energy Management and Sustainability' section. His work focuses on analog/mixed-signal IC design, energy harvesting, smart grid technologies, and sensor systems. Education: M.S. (1983), Ph.D. (1989) in Electrical Engineering, EPFL. Affiliations: EPFL’s Electronics Laboratory (ELab), School of Engineering. Research interests include ultra-low-power sensor interfaces, energy-efficient electronics for smart buildings, and real-time power grid emulation. He has authored/co-authored three textbooks on mixed-mode CMOS design and holds 11 patents. His work bridges semiconductor physics, circuit design, and energy systems. Recent articles focus on wearable biosensors (ANTIGONE project), blockchain-based smart-building energy management, and high-speed power system emulators. Notable awards include the Credit Suisse Teaching Award (2009) and multiple best-paper prizes at IEEE conferences. He has advised over 30 PhD students, with notable alumni working in semiconductor design and energy systems. His labs pioneer innovations in analog emulation for power systems and IoT-enabled smart infrastructure.

Sylvain CalinonView profile

Lecturer

• Robotics
• Robot Learning
• Human-Robot Collaboration
• +4 more

Sylvain Calinon is a Senior Research Scientist at the Idiap Research Institute and a Lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He specializes in robot learning, human-robot collaboration, and optimal control. He holds a PhD from EPFL (2007) and has led research teams at IIT (2009–2014) and Idiap (2014–present). His work focuses on enabling robots to learn skills from demonstrations and interactions, emphasizing geometric and model-based approaches. Affiliations: Idiap Research Institute (Senior Scientist), EPFL (Lecturer in Microengineering) Research Interests: Robot learning, manipulation planning, optimal control, human-robot interaction, and industrial applications. Calinon's research has been supported by grants from the European Commission, Swiss National Science Foundation, and others. He has received multiple awards, including the ABB Award and Best Paper Awards at ICRA, IROS, and RSS. He has advised over 20 PhD students and contributes to editorial roles in top journals like IEEE Transactions on Robotics. His current projects include the H2020 MEMMO (memory of motion) and COLLABORATE (human-robot co-production systems). He also leads initiatives in geriatronics and industrial cobotics, emphasizing real-world applications.

Timo KehrerView profile

Professor

• Software Engineering
• Model-Based Systems
• Cyber-Physical Systems
• +7 more

Prof. Timo Kehrer is a Professor and Head of the Software Engineering Group (SEG) at the Institute of Computer Science, University of Bern. He also serves as Deputy Director of Studies, overseeing academic programs in software engineering. His research focuses on variability modeling, model-based systems engineering, simulation-based testing of autonomous systems, and empirical studies in software development practices. Key areas include software product lines, cyber-physical systems, and the application of formal methods in industrial contexts. Notable contributions include work on Community-driven variability management in open-source software, Automated testing tools like ScoutSL and TEASER , Simulation-based frameworks for self-driving cars (e.g., Sensodat datasets), and Empirical analyses of GitHub Actions workflows and merge conflict resolution. His research bridges theory and practice, addressing challenges in software sustainability, AI-driven development, and the integration of formal verification tools like TLA+. He actively participates in conferences such as VaMoS (Variability Modelling) and contributes to open-source projects in model-driven engineering. Prof. Kehrer collaborates with industry partners to advance tools for model repositories, vulnerability detection (e.g., VUDENC ), and semantic analysis of software changes. His work emphasizes reproducibility, tool support for developers, and educational initiatives to modernize software engineering curricula.

Peter H. GruberView profile

Senior Lecturer

• Asset Pricing
• Risk Premia
• Numerical Methods
• +4 more

Peter H. Gruber is a Senior Lecturer and Senior Scientist at the Università della Svizzera Italiana (USI), Faculty of Economics, in Lugano, Switzerland. He has been affiliated with USI since 2008. PhD in Physics from TU Wien PhD in Finance from Università della Svizzera Italiana His research spans multiple disciplines, focusing on: Asset Pricing, particularly risk premia and stochastic volatility models Numerical Methods in finance and econometrics Economics of Cryptocurrencies and Entrepreneurship High-Performance Computing applications in economics His publication trends highlight expertise in option pricing models , matrix affine jump diffusion (MAJD) frameworks, and stochastic skewness analysis. Earlier work in particle physics demonstrates interdisciplinary technical proficiency. At USI, he teaches numerical methods using MATLAB and R, and develops computational resources for financial econometrics and macroeconomic analysis.

Maksym KovalenkoView profile

Professor

• Inorganic Chemistry
• Materials Science
• Optoelectronics
• +3 more

Prof. Dr. Maksym Kovalenko leads the Functional Inorganic Materials Group at ETH Zurich's Department of Inorganic Functional Materials (D-CHAB). His research focuses on the synthesis and applications of novel inorganic nanocrystals for optoelectronics and energy storage systems, particularly lead halide perovskites and their quantum dot architectures. With over 15 recent publications in 2024-2025, his work spans quantum optics, solid-state lighting, battery materials, and radiation detection technologies. The group's publications highlight advancements in quantum dot engineering, perovskite stability, and solid-state battery electrolytes. Their research intersects solid-state chemistry with molecular approaches, achieving breakthroughs in single-photon emission, ultrafast scintillation, and coherent spin dynamics. The Kovalenko Lab has produced numerous PhD graduates now working in academia and industry across Europe and North America. 2024 GCIM Leading Scientist Award Key research areas: quantum optics, energy materials, and nanocrystal surface chemistry Collaborations with MIT, EPFL, and University of Chicago His team explores both fundamental physics of nanomaterials and applied technologies for sustainable energy systems, maintaining leadership in colloidal perovskite research since 2011.

Robert BainesView profile

Professor

• Robotics
• Soft Robotics
• Adaptive Morphogenetic Systems
• +4 more

Dr. Robert Baines holds the Professorship for Robotic Systems at ETH Zürich, leading research in adaptive morphogenetic robots, soft robotics, and amphibious robotic systems. His work emphasizes material science integration, reconfigurable mechanisms, and environmental adaptability. Key research areas include morphing limb design, tensegrity robots, and reproducible soft robotics methodologies. His research focuses on developing robots capable of evolving on demand through modular architecture and self-reconfiguration, with applications in multi-environment navigation. He has pioneered studies on inflatable actuators, tensile jamming fibers, and bio-inspired designs for amphibious locomotion. Baines also advocates for standardized testing protocols in soft robotics to ensure reproducibility and cross-laboratory collaboration. Notable contributions include the RoboWrangler rope-based grasping system and the amphibious robotic turtle demonstrating aquatic-to-terrestrial transitions. His work bridges mechanical engineering, materials science, and artificial intelligence to create robust, context-aware robotic systems. Current projects explore variable stiffness mechanisms, multi-modal sensing, and energy-efficient morphing systems. Baines collaborates with industry partners to translate theoretical advancements into deployable robotic solutions for challenging environments.