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Prof. Dr. Günther Dissertori is a Full Professor and Rector of ETH Zurich, where he oversees teaching and academic affairs. His academic journey began at the University of Innsbruck, followed by a doctoral position at CERN, and he joined ETH Zurich as an Assistant Professor in 2001 before becoming a Full Professor in 2007. Academic Role: Full Professor of Particle Physics Institutional Leadership: Rector of ETH Zurich (since 2022) Contact: guenther.dissertori@sl.ethz.ch Research Interests: Dissertori's work spans Particle Physics and Experimental Physics , notably contributing to the CMS experiment at CERN, which was instrumental in the Higgs boson discovery. His group also developed cost-effective PET devices, leading to the spin-off Positrigo AG . Research keywords include Detector Development , Medical Imaging , and Quantum Physics . Teaching Excellence: Recognized with multiple Golden Owl awards (2005–2020) and the Credit Suisse Award for Best Teaching (2013), Dissertori is celebrated for his pedagogical impact in the Department of Particle Physics. Scientific Contributions: His publications include advancements in CMOS technology, quantum dynamics, and medical applications, reflecting interdisciplinary expertise in high-speed electronics, environmental science, and architectural history.

• Particle Physics
• High Energy Physics
• Experimental Physics
• +۳ مورد دیگر

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Prof. Dr. Malte Oppermann is a full Professor at the University of Basel , leading the Ultrafast Chiral Dynamics Laboratory within the Department of Chemistry. His group specializes in developing cutting-edge time-resolved spectroscopic techniques to probe molecular transformations on femtosecond to microsecond timescales, focusing on chirality and structural dynamics in complex systems. Research Focus: Ultrafast Chiral Spectroscopy : Using circularly polarized laser pulses to resolve structural changes in chiral systems. Molecular Motors & Protein Dynamics : Capturing conformational changes in synthetic motors and proteins in native environments. Photoactive Materials : Investigating light-energy conversion mechanisms in chiral photochemical systems. His research bridges physics and chemistry, employing state-of-the-art laser technology and collaborating internationally across synthesis, spectroscopy, and theory. Publications & Impact: Prof. Oppermann’s work (2011–2025) spans ultrafast spectroscopy , chiral dynamics , nanomaterials , and biomolecular photophysics . Key themes include spin-crossover dynamics, DNA photodamage, and plasmonic nanoparticles, with techniques like transient X-ray absorption and deep-UV circular dichroism. Team & Opportunities: The group actively recruits MSc/PhD students and postdocs in physics, chemistry, and materials science. Interested candidates are encouraged to contact Prof. Oppermann directly.

• Ultrafast spectroscopy
• Chiral dynamics
• Molecular dynamics
• +۴ مورد دیگر

Jean-Philippe Brantut is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB), the Institute of Physics (IPHYS), and the School of Physics (SPH-ENS). He leads the Laboratory for Quantum Gases (LQG), a research group focused on quantum simulation with ultracold atomic systems. He also serves as a PhD program committee member for the Doctoral Program in Physics at EPFL. Research Interests: His work lies at the intersection of quantum optics, atomic physics, and condensed matter physics. He investigates strongly correlated fermionic systems, cavity quantum electrodynamics, mesoscopic physics, and quantum transport. His group pioneers the integration of Fermi gases with high-finesse optical cavities to simulate quantum devices and explore novel quantum matter. Recent Research Trends: His recent publications, appearing in Nature , Science , and Nature Physics , demonstrate a strong focus on engineering quantum many-body systems using photon-mediated interactions. Key themes include the realization of random spin models, observation of density-wave ordering, and the investigation of universal pair polaritons in strongly interacting Fermi gases. His earlier work laid foundations in quantum thermoelectricity and quantized transport in neutral matter. Scientific Awards: Latsis University Prize (2023) Physics Teaching Award at EPFL (2023) ERC Consolidator Grant (2022): Driven and Dissipative Quantum Simulators ERC Starting Grant (2016): Devices, engines and circuits: quantum engineering with cold atoms Fondation Sandoz Chair (2016) SNSF Ambizione Fellowship (2013) Advising and Grants: Brantut actively supervises multiple PhD students, including current students Gaia Bolognini, Tabea Bühler, Ekaterina Fedotova, Francesca Orsi, and Zeyang Xue, and has advised several successful graduates such as Victor Helson, Kevin Roux, Nick Sauerwein, and Timo Zwettler. His research is supported by major grants, most notably two European Research Council (ERC) grants, underscoring the significance and innovation of his work in quantum simulation and quantum engineering. Laboratories and Teams: He leads the Laboratory for Quantum Gases (LQG) at EPFL, which operates two main experimental setups: the Fermi gas experiment and the microscope experiment. The team includes post-doctoral researchers, PhD students, and visiting scientists, fostering a collaborative environment for advancing quantum science with ultracold atoms.

• Quantum optics
• Quantum simulation
• Strongly correlated Fermions
• +۷ مورد دیگر

Olga Fink is a Tenure Track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Intelligent Maintenance and Operations Systems (IMOS) within the School of Architecture, Civil and Environmental Engineering (ENAC). She also holds roles in PhD program committees for Civil and Environmental Engineering (EDCE) and Robotics, Control, and Intelligent Systems (EDRS). Her research focuses on machine learning for infrastructure monitoring, predictive maintenance, and physics-informed AI models. She teaches courses on machine learning, data science for infrastructure, and advanced deep learning topics. Fink advises multiple PhD students and is involved in interdisciplinary projects such as ThermoNeRF (multimodal 3D thermal modeling) and physics-informed neural networks for fault diagnostics. Her work bridges AI and engineering with applications in smart infrastructure, energy systems, and industrial IoT. Education: PhD in Engineering (inferred from role) Affiliations: IMOS Lab, ENAC-SGC, EPFL PhD Committees (EDCE, EDRS) Key Research Themes: Explainable AI, Digital Twins, Structural Health Monitoring, Domain Adaptation Her publications (2023–2025) emphasize robust AI for industrial systems, including fault detection in high-voltage equipment, multimodal data fusion, and physics-consistent models. She collaborates on EU and industry-funded projects, focusing on real-world applications like predictive maintenance and energy efficiency.

• Machine Learning
• Predictive Maintenance
• Industrial IoT
• +۳ مورد دیگر

Elison Matioli is a Professor at the Institute of Electrical Engineering (STI) at EPFL and director of the POWERlab. He holds a B.Sc. in Applied Physics and Applied Mathematics from Ecole Polytechnique (France), a B.Sc. in Electrical Engineering from the University of São Paulo (Brazil), and a Ph.D. in Materials Science from the University of California, Santa Barbara. His postdoctoral research at MIT focused on electrical engineering and computer science. His research centers on advanced semiconductor devices, particularly GaN-based power electronics, microfluidic cooling systems, and nanotechnology innovations for high-power applications. Key areas include developing high-efficiency GaN transistors, optimizing power conversion systems, and exploring terahertz generation through nanoplasma switches. His work emphasizes integrating novel materials (e.g., diamond, LiNiO) and cooling solutions to enhance device performance and reliability. Publications highlight breakthroughs in GaN power devices, microfluidic integration for thermal management, and ultrafast switching technologies. His contributions span device physics, fabrication techniques, and energy-efficient systems, with applications in next-generation power electronics and renewable energy infrastructure.

• Power Electronics
• Semiconductor Devices
• Nanotechnology
• +۳ مورد دیگر

Mohammad Peydayesh is a Lecturer and Senior Researcher at the Department of Health Sciences and Technology , ETH Zürich. He works in the Food and Soft Material Laboratory , focusing on sustainable materials derived from food waste and agri-food byproducts. PhD in Chemical Engineering (2018, Iran University of Science and Technology) Postdoctoral Fellow at ETH Zürich under Prof. Dr. Mezzenga Senior Assistant at ETH Zürich since 2021 His research spans soft matter , self-assembly phenomena , and amyloid fibril applications in: Environmental engineering (water purification, heavy metal removal) CO2 conversion and storage Smart packaging and bioplastics development Biorefinery concepts and circular economy Nanomaterials for waste valorization Recent publications highlight trends in amyloid-based hybrid materials for: Metal recovery from e-waste and contaminated water CO2 capture and conversion Bioplastic production from agricultural waste Antiviral and detoxification applications Water desalination and purification Photonic and catalytic materials He contributes to the Laboratory of Food & Soft Materials , advancing sustainable solutions through interdisciplinary material science.

• Soft Matter
• Self-Assembly
• Amyloid Fibrils
• +۸ مورد دیگر

Prof. Annalisa Manera is a Full Professor at ETH Zurich's Department of Mechanical and Process Engineering since July 2021, specializing in nuclear systems and multiphase flows. Previously, she held a professorship at the University of Michigan's Nuclear Engineering Department from 2011 to 2021. Her research focuses on advanced experimental techniques for single-phase and multiphase flows, high-resolution CFD validation, and computational tools for nuclear systems. She co-directs the Experimental and Computational Multiphase Flow (ECMF) Lab and the High Resolution Imaging Lab. Education: M.Sc. in Nuclear Engineering (University of Pisa, summa cum laude) and Ph.D. in Nuclear Engineering (Delft University of Technology). Awards include the ANS Bal-Raj Sehgal Memorial Award (2022) and the US DOE CASL Director’s Award (2016), alongside being an American Nuclear Society Fellow. Her work bridges nuclear safety, thermal-hydraulics, and computational modeling, with contributions to polaron physics, electron-phonon interactions, and material simulations. Courses taught include Nuclear Energy Conversion and Beyond-Design-Basis Safety.

• Nuclear Engineering
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

• Energy systems optimization
• Conceptual process design
• Life cycle assessment
• +۷ مورد دیگر

Professor Kevin Sivula is a Full Professor of Chemical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Molecular Engineering of Optoelectronic Nanomaterials (LIMNO) and serves as Director of the Institute of Chemical Sciences and Engineering (ISIC). He teaches courses on Transport Phenomena, Chemical Engineering Practicals, Product design, and solar energy conversion systems. His research focuses on photoelectrochemical solar energy conversion, particularly developing novel nanomaterials for renewable energy applications. Professor Sivula's work bridges chemical engineering, materials science, and renewable energy technologies with emphasis on solar water splitting and hydrogen production. His research group explores organic semiconductors, transition metal dichalcogenides, perovskite materials, and metal oxide photoelectrodes for solar fuel generation. Professor Sivula's recent publications (2023-2025) demonstrate his leadership in advancing perovskite solar cell technology, developing novel photoelectrochemical systems for hydrogen production, and engineering semiconductor interfaces for improved energy conversion efficiency. His work spans fundamental materials characterization to device engineering, with particular emphasis on stability and scalability of solar fuel production systems. As an academic leader, Professor Sivula has supervised numerous PhD students whose research spans organic semiconductor nanoparticles for solar hydrogen production, perovskite materials engineering, photoelectrochemical CO 2 reduction, and nanomaterials for energy conversion. His research has been supported by various grants focused on advancing sustainable energy technologies.

• Photoelectrochemical solar energy conversion
• Renewable energy
• Chemical engineering
• +۷ مورد دیگر

Nuri Yazdani is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, Switzerland. Based at the Institute for Electronics (Institut für Elektronik) in Zurich, Dr. Yazdani contributes to both teaching and research in advanced materials and nanotechnology. His work spans multiple interdisciplinary areas connecting physics, chemistry, and electrical engineering, with particular emphasis on nanocrystal-based materials and their applications in electronics and optoelectronics. Dr. Yazdani's research focuses on the synthesis, characterization, and application of nanomaterials, particularly semiconductor nanocrystals and quantum dots. His work explores the fundamental physical properties of these materials, including exciton-phonon interactions, structural ordering in multicomponent systems, and charge transport mechanisms in nanocrystal assemblies. He investigates how nanoscale phenomena affect macroscopic material properties, with applications ranging from catalysis to optoelectronic devices. His approach combines experimental techniques like small-angle X-ray scattering with theoretical modeling to understand structure-property relationships in nanomaterials. Analysis of Dr. Yazdani's recent publications reveals a strong emphasis on perovskite and chalcogenide nanocrystals, with particular interest in how structural features like cation distribution, octahedral tilting, and surface chemistry affect optical and electronic properties. His work bridges fundamental physics with practical applications, spanning from quantum optics to energy conversion technologies. A recurring theme is the investigation of size-dependent phenomena and the role of phonons in determining material behavior at the nanoscale. Dr. Yazdani collaborates extensively with researchers across multiple institutions and disciplines, as evidenced by his authorship on numerous multi-investigator publications. His work appears in high-impact journals including Nature Communications, Journal of the American Chemical Society, and Nature Physics, reflecting the significance and interdisciplinary nature of his contributions to nanoscience and nanotechnology.

• Nanotechnology
• Materials Science
• Nanocrystals
• +۷ مورد دیگر

Thomas Demeester is an Associate Professor at the Internet Technology and Data Science Lab (IDLab), Ghent University - imec, Belgium. Appointed as Assistant Professor in 2019, he leads an AI research group focused on health applications and drug design, co-directing the Text-to-Knowledge research cluster with Prof. Chris Develder. His educational background includes: M.Sc. in Electrical Engineering from Ghent University (2005), completed with thesis work at ETH Zurich Ph.D. in Computational Electromagnetics from Ghent University (2009), funded by Research Foundation - Flanders (FWO) Demeester's research spans artificial intelligence with emphasis on deep learning and neuro-symbolic methods. Current tracks include energy-based models (Hopfield Networks, Deep Equilibrium Models), diffusion models for drug design, and clinical reasoning systems. His work bridges NLP, healthcare informatics, and generative AI with strong industry partnerships. Recent publications (2023-2025) reveal strategic expansion from NLP into health-centric AI: BioLORD biomedical encoders (2023), synthetic medical data frameworks (UAI/NeurIPS 2024), and novel diffusion model guidance (ICLR 2025). This evolution demonstrates convergence of generative modeling, clinical data analysis, and protein design. He actively mentors 24 PhD students across diverse AI domains: Current Research: Conversational agents, emotion analysis, clinical reasoning, antibody design, and diffusion model optimization Recent Graduates: Interpretable language models, biomedical semantics, task-oriented dialogue, and social media knowledge extraction Research is supported by imec funding and collaborations with Flemish biotech companies, building on his post-doctoral experience securing media-sector projects. Within IDLab, he co-leads the Text-to-Knowledge cluster driving NLP innovations for healthcare, legal, and economic applications.

• Artificial Intelligence
• Natural Language Processing
• Deep Learning
• +۷ مورد دیگر

Rachid Cherkaoui is a Senior Scientist at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering, specifically within the Department of Electrical Engineering. He is actively associated with research units SEL-ENS, EDEY-ENS, and DESL, contributing to the Distributed Electrical Systems Laboratory (DESL). His work focuses on advanced power system optimization, smart grids, and energy market modeling. Ph.D. in Electrical Engineering, EPFL, 1992 M.S. in Electrical Engineering, EPFL, 1983 Dr. Cherkaoui's research interests include electrical power and distribution systems, distributed generation, energy storage, electricity market deregulation, and power system vulnerability mitigation. His work bridges theoretical modeling and real-world applications, particularly in flexibility provision, grid resilience, and market integration of renewable energy. His recent publications (2020–2025) reflect a strong focus on smart grid technologies, energy storage integration, and market mechanisms. Key themes include optimal dispatch of hybrid systems, TSO-DSO coordination, frequency control, and stochastic optimization under uncertainty. His work is frequently published in top-tier journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid. ABB Swiss Award '83 Senior Member, IEEE Member, CIGRE Task Forces C5-2 IEEE Swiss Chapter Officer since 2005 Dr. Cherkaoui actively supervises doctoral students and collaborates extensively with researchers like Mario Paolone. He has contributed to numerous projects funded by industry, CTI/Innosuisse, and Horizon 2020. His research includes experimental validation and real-time control systems, particularly in hydropower and battery storage applications. He is also involved in national and international energy strategy discussions, including Switzerland's path to carbon neutrality.

• Electrical Power Systems
• Electrical Distribution Systems
• Distributed Generation
• +۱۲ مورد دیگر

Kristina Schoonjans is an Associate Professor at EPFL’s School of Life Sciences, where she leads the Laboratory of Metabolic Signaling (UPSCHOONJANS). Her research focuses on the molecular mechanisms of bile acid signaling, nutrient sensing, and intermediary metabolism, particularly in the context of metabolic disorders such as obesity, fatty liver disease, and cancer. She investigates how the liver-gut-brain axis integrates metabolic signals through nuclear receptors and mitochondrial dynamics. Her research interests include: Bile acid signaling and its role as a hormonal regulator Nutrient and metabolite sensing in energy homeostasis Intermediary metabolism and metabolic disorders Role of nuclear receptors (e.g., TGR5, LRH-1) in liver, gut, and adipose tissue Mitochondrial dynamics and fission in metabolic regulation Organoid models for studying liver and intestinal metabolism Systems genetics using BXD mouse populations The most recent articles highlight a strong focus on bile acid signaling, particularly through TGR5 and LRH-1, in regulating metabolic health. Themes include the conversion of white fat to beige fat (beiging), hepatic tumorigenesis, mitochondrial fission, and the use of organoid and genetically engineered mouse models. There is a consistent emphasis on translational applications for obesity, fatty liver disease, and cancer. Scientific honors include: Windaus Prize from the Dr. Falk Foundation (2010, shared with Johan Auwerx) for the discovery of the signaling/endocrine function of bile acids Prof. Schoonjans actively supervises PhD students and has advised numerous doctoral candidates who have since completed their theses. Her lab is supported by multiple grants from Swiss and international funding agencies, including the Swiss National Science Foundation, EPFL, CONACYT, and the Foundation for Health and Education. She teaches in several doctoral programs at EPFL, including Life Sciences Engineering, and contributes to education through the SSV and EDBB/EDCB/EDMS-ENS programs. The Schoonjans Lab brings together scientists, doctoral assistants, and technicians working on projects related to metabolic signaling. The team uses advanced techniques such as genetically modified mouse models, organoid cultures, and multi-omics (metabolomics, proteomics, transcriptomics) to study the liver-gut and brain-liver axes. The lab has a strong track record of high-impact publications and collaborations with institutions worldwide.

• Bile acid signaling
• Nutrient sensing
• Intermediary metabolism
• +۱۱ مورد دیگر

Georg Fantner is an Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) with dual appointments in the School of Engineering (STI) within the Institute of Bioengineering and the School of Life Sciences (SV) for teaching. He directs the Laboratory for Bio- and Nano-Instrumentation (LBNI) and holds leadership roles including President of the Open Science Strategic Committee and the Association des Professeurs de l'EPFL. Research Focus: Bioinstrumentation, Nanotechnology, Scanning Probe Microscopy, and Metrology Teaching: Structural Mechanics for Life Sciences, Metrology, and Metrology Practicals His research pioneers advanced instrumentation for nanoscale characterization, emphasizing data-driven approaches to enhance microscopy techniques. Recent work integrates deep learning with scanning probe microscopy for real-time biological imaging and develops novel MEMS devices for fluid-compatible nanoscale manipulation. Key innovations include hermetically sealed sample chambers for pathogen studies and deterministic nanotopography engineering. Professor Fantner actively mentors 7 current PhD students and has supervised 14 graduates. His laboratory fosters interdisciplinary collaboration across engineering, physics, and life sciences to advance nanoscale measurement technologies and instrumentation development.

• Bioinstrumentation
• Nanotechnology
• Scanning Probe Microscopy
• +۳ مورد دیگر