Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
Francesca RodinoExpertise
Electrochemical BiosensorsSensors and Biosensors interfaces | front-end electronicsBiomedical circuits and systems
Francesca Rodino received the B.Sc. and M.Sc. degrees in Biomedical Engineering from the Politecnico di Torino, Turin, Italy, in 2019 and 2022, respectively. She developed her Master's project in the field of cortical neuroprosthesis devices for artificial vision in collaboration with the Integrated Circuits Laboratory (ICLAB) at école Polytechnique Fédérale de Lausanne (EPFL) in Swit
Igor TomicTeaching & PhD PhD Students Jakov Oreb Courses Seismic engineering CIVIL-522 This course deals with the main aspects of seismic design and assessment of buildings including conceptual design. It covers different structural design and evaluation philosophies for new and existing reinforced concrete, steel and unreinforced masonry buildings. Stone masonry: Past, present, and future PENS-232 This course introduces students to the historical, structural, and environmental aspe
Savvas SaloustrosEducation PhD | Construction Engineering 2017 – 2017 UPC-BarcelonaTech, Spain MSc | Structural Analysis of Monuments and Historical Constructions (SAHC) 2013 – 2013 University of Padova, Italy & UPC-BarcelonaTech, Spain Diploma | Civil Engineering 2012 – 2012 National Technical University of Athens, Greece Professionals experiences Co-founder & Board Member 2019–2019 FENECStructural Engineer 2019–2019 Windmill Structural Constultants, Barcel
Jakov OrebTeaching & PhD Courses Stone masonry: Past, present, and future PENS-232 This course introduces students to the historical, structural, and environmental aspects of stone masonry. Emphasis is on understanding the role of stone masonry in architecture, basic structural behavior, and approaches to predict and assess the performance of stone masonry buildings.
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Andres Osorio SalazarExpertise
Robotics, advanced actuator design, soft actuators, sensor design, embedded systems, human-machine interface architecture, electronic-less control, mechanism design, additive and traditional manufacturing, industrial automation, process control, and fluid robotics.
Current Work
Smart Footwear for Diabetic Foot Care and Ulcer PreventionEvery 20 seconds, a person with diabetes has to face an amputation somewhere in the world. The main risk factor is high plantar pressure combined with foot nephropat
Virginia CarnevaliExpertise
Theoretical condensed matter physics: theory and simulations of structural, electronic, magnetic and optical properties (Quantum ESPRESSO), ab-initio molecular dynamics (CP2K), and Kinetic Monte Carlo codes; automate Quantum ESPRESSO workflows and high-throughput calculations (AFLOWÏ€); generation of tight-binding hamiltonians, transport properties, and data analysis (PAOFLOW).Materials for photovoltaic: Pb- and Sn-based organic perovskites; investigation and improvement of the HTL-ETL interaction
Mathias Christian Haindl CarvalloTeaching & PhD Courses Stone masonry: Past, present, and future PENS-232 This course introduces students to the historical, structural, and environmental aspects of stone masonry. Emphasis is on understanding the role of stone masonry in architecture, basic structural behavior, and approaches to predict and assess the performance of stone masonry buildings.
Giuseppe CarleoGiuseppe Carleo is a computational quantum physicist, whose main focus is the development of advanced numerical algorithms tostudy challenging problems involving strongly interacting quantum systems.He is best known for the introduction of machine learning techniques to study both equilibrium and dynamical properties,based on a neural-network representations of quantum states, as well for the time-dependent variational Monte Carlo method.He earned a Ph.D. in Condensed Matter Theory from the International School for Advanced Studies (SISSA) in Italy in 2011.He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland, where he alsoserved as a lecturer in computational quantum physics.In 2018, he joined the Flatiron Institute in New York City in 2018 at the Center for Computational Quantum Physics (CCQ), working as a Research Scientist and project leader, and also leading the development of the open-source project NetKet.Since September 2020 he is an assistant professor at EPFL, in Switzerland, leading the Computational Quantum Science Laboratory (CQSL).
