Find Academic Supervisors

• Energy
• Demand Side Management
• Non-Intrusive Load Monitoring
• +3 more

Pierre Roduit is a Professor and Head of the Institut Energie et environnement at HES-SO Valais-Wallis. His expertise spans Energy Systems, Demand Side Management, and Machine Learning applications in sustainability. He leads research on smart energy solutions, including grid flexibility, non-intrusive load monitoring, and hydropower maintenance. Current projects include the EU-funded domOS (H2020) for smart building OS and the Innosuisse-backed Industrialisation of energy services for small buildings. His work integrates IoT and data science to enhance energy efficiency in residential and industrial contexts. Key Projects: GOFLEX (H2020), SEMIAH (FP7), Cavitation Monitoring System Focus Areas: Thermal Energy Storage, Predictive Maintenance, Smart Grids His research bridges academic innovation with industrial applications, advancing technologies such as NILM and acoustic-based turbine monitoring. Over 20 years, he has authored over 30 publications and secured €16M+ in EU and industry funding.

• Multi-agent systems
• Real-Time Systems
• XAI (Explainable Artificial Intelligence)
• +5 more

Prof. Davide Calvaresi is an Associate Professor at HES-SO Valais-Wallis, affiliated with the School of Engineering and IT and the Department of Computer Science and Communication Systems. His research focuses on Multi-Agent Systems (MAS), Real-Time Systems, Explainable AI (XAI), Blockchain, and their applications in healthcare, cybersecurity, and smart cities. Leading the EXPECTATION project (2021–present), he explores personalized XAI for heterogeneous knowledge integration in decentralized systems. He collaborates with institutions like the University of Bologna and the University of Luxembourg, addressing challenges in MAS timing reliability, ethical AI frameworks, and blockchain-based consent management in clinical trials. Key contributions include the EREBOTS chatbot platform for cancer survivors, real-time MAS simulators (MAXIM-GPRT), and frameworks for nutrition coaching systems with explainable recommendations. His work bridges technical innovation with ethical, legal, and human-centric considerations, emphasizing transparency and trust in AI systems.

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +3 more

Grégory Mermoud is an Associate Professor at HES-SO Valais-Wallis, School of Engineering, specializing in Machine Learning, Artificial Intelligence, and large-scale distributed systems. He teaches computer networks, machine learning, and distributed computing. His research focuses on the intersection of ML, simulation, software systems, and data science. Affiliations: HES-SO Valais-Wallis (current), Cisco Systems (former Distinguished Engineer) Gregory holds a BSC in Computer Science and Communication Systems from HES-SO Valais-Wallis. With over a decade of industry experience at Cisco, he led teams developing flagship enterprise products and holds over 200 U.S. patents. His work spans network optimization, predictive modeling, and application-driven routing. Research Interests: Machine Learning applications in networking, Quality of Experience (QoE) prediction, network path optimization, and adaptive systems. His contributions include groundbreaking work on AI-driven network monitoring, QoE prediction models, and SD-WAN optimization. Advising & Grants: Oversaw recruitment of over 50 engineers at Cisco, many from HES-SO. His research has been supported by industry collaborations and academic grants. Labs/Teams: Engaged in collaborative projects with Cisco’s R&D teams and academic institutions, focusing on network intelligence and distributed systems innovation.

Yves MartinView profile

Lecturer

• Plasma Physics
• Fusion Energy
• Tokamak Control Systems
• +3 more

Yves Martin is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences, specifically within the Service de la Physique et de la Chimie - General Engineering (SPC-GE). He serves as Deputy Director of SPC-GE and is also affiliated with EDPY (École Doctorale de Physique) for teaching responsibilities. His office is located at PPB 324 (Bâtiment PPB), Station 13, 1015 Lausanne, Switzerland. Dr. Martin's research focuses on plasma physics and fusion energy, with particular expertise in tokamak operations, plasma control systems, and edge localized modes (ELMs). His work primarily centers around the TCV (Tokamak à Configuration Variable) at EPFL, where he has made significant contributions to understanding plasma shaping, stability limits, and control mechanisms. His research spans both theoretical and experimental aspects of magnetic confinement fusion. Analysis of his recent publications reveals a strong focus on plasma control techniques, particularly regarding Edge Localized Modes (ELMs) which are critical instabilities in tokamak operation. His work spans plasma shaping optimization, magnetic perturbation techniques, divertor physics including snowflake configurations, and real-time control systems for tokamak operations. These research areas represent some of the most challenging problems in magnetic confinement fusion research. Dr. Martin has supervised doctoral students including Piras Francesco (thesis on 'Extremely Shaped Plasmas to Improve the Tokamak Concept') and Rossel Jonathan (thesis on 'Edge Localized Mode Control in TCV'). His work has contributed to international fusion research efforts, including collaborations related to ITER diagnostics and physics.

Giulio SalizzoniView profile

Researcher

• Multiagent Learning
• Optimization
• Control Engineering
• +1 more

Giulio Salizzoni is a Doctoral Assistant at the SYCAMORE lab within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on multiagent learning and optimization, building on a strong foundation in electronic and automation engineering. Education: Bachelor's Degree in Electronic Engineering, Politecnico di Milano Master's Degree in Automation and Control Engineering, Politecnico di Milano Participant in Alta Scuola Politecnica (multidisciplinary honors program) Giulio's work explores the application of the scenario approach to shape stationary state distributions in linear systems, with current emphasis on collaborative learning frameworks for multiagent systems. He contributes to both research and academic activities at EPFL. Roles: Doctoral Assistant, EPFL STI IGM SYCAMORE Doctoral Student in Electrical Engineering, EPFL

Gilles VilmartView profile

Senior Lecturer

• Numerical Analysis
• Geometric Numerical Integration
• Multiscale Methods
• +3 more

Gilles Vilmart is a Senior Lecturer (Maître d'enseignement et de recherche) at the University of Geneva's Department of Mathematics since 2013. His research focuses on numerical analysis of geometric and multiscale methods for deterministic and stochastic differential equations, emphasizing geometric numerical integration and numerical homogenization. He holds a PhD (2008, double doctorate from University of Rennes 1 and Geneva) and a Habilitation (2013, ENS Rennes). Former affiliations include the Swiss Federal Institute of Technology Lausanne (EPFL), University of Rennes 1, and INRIA Rennes. He organizes the numerical analysis seminar with Martin Gander and Bart Vandereycken, and co-founded the CAMAS Consulting platform. He is a member of Swiss mathematical society, Swiccomas, and SMAI (France). Key achievements include the Young Researcher First Prize 2013 from Brittany Region for Mathematics. His work includes developing numerical methods for stochastic and multiscale systems, with software contributions like PIROCK and multirevolution integrators. He advises PhD students and organizes workshops on numerical analysis and complex systems.

Christophe SalzmannView profile

Lecturer

• Real-time Control
• Remote Laboratories
• Online Education Tools
• +3 more

Christophe Salzmann is a Lecturer and Research Associate at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Automatic Control Laboratory (LA3). He holds multiple roles including Head of IT for SCI-STI-GFT and SCI-STI-AK groups, Head of Operations for DLL-STI-ENG and DLL-STI-GE, and Scientist in SGM-GE. His primary academic rank is Lecturer, teaching in Mechanical Engineering, Electrical and Electronics Engineering, and Microengineering. He completed his PhD in Remote Experimentation and Network at EPFL (2005) and MS in Computer Science at the University of Florida (1999). Salzmann's research focuses on real-time control systems, remote experimentation, and online learning technologies. He pioneered frameworks for Massive Open Online Labs (MOOLs) integrated into MOOC platforms, emphasizing scalable remote laboratory solutions. His work includes standardization efforts like the Smart Device Specification for Remote Labs and Laboratory as a Service (LaaS) paradigms. Key areas include real-time Internet services, quality of service optimization, and LabVIEW-based control solutions. His advising includes PhD students such as Bogdanov Evgeny, Halimi Wissam, and Perritaz Damien. He contributes to labs like the Automatic Control Laboratory (LA3), Decode Lab, and DDMAC Lab. Notable projects involve real-time optimization of solid-oxide fuel cells and adaptive control strategies for building climate systems. Salzmann is actively involved in educational technology innovations, bridging virtual and physical experimentation for global STEM education.

Drazen DujicView profile

Associate Professor

• Power Electronics
• Medium-Voltage Systems
• Electrical Energy Conversion
• +3 more

Drazen Dujic is an Associate Professor and Head of the Power Electronics Laboratory at École Polytechnique Fédérale de Lausanne (EPFL). He holds a PhD from Liverpool John Moores University (2008) and prior industry experience at ABB Switzerland Ltd (2009–2014). His research focuses on high-power electronic systems and medium-voltage applications, including energy conversion, storage, and renewable integration. He has authored over 200 publications and 22 patents. Education: PhD in Electrical Engineering (Liverpool John Moores University, 2006–2008), MSc and Dipl.Ing. in Power Electronics (University of Novi Sad, Serbia, 1996–2005). Awards: Istvan Nagy Award (2021), EPE Outstanding Service Award (2018), Isao Takahashi Power Electronics Award (2014). Teaching: Courses include Power Electronics, Industrial Electronics, and Renewable Energy Applications. PhD Supervision: Current advisees include Amin Darvishzadeh, Max Dupont, and others; past students include Miodrag Basic and Daniel Biner. His research emphasizes medium-voltage systems, resonant converters, and grid integration technologies. Key projects include advanced DC power distribution networks and high-efficiency MVDC converters. He actively contributes to IEEE PELS committees and serves as Director of the Doctoral Program in Energy at EPFL.

Umar SheikhView profile

Lecturer

• Plasma Physics
• Nuclear Fusion
• Tokamak Operation
• +3 more

Umar Sheikh is a Lecturer and Scientist at the Swiss Plasma Center (SPC) within the School of Basic Sciences (SB) at École Polytechnique Fédérale de Lausanne (EPFL) . He also holds teaching roles in the School of Engineering (SB) and the VPA-AVP-DLE (Vice-Presidency for Academic Policy) units. His work bridges experimental research in tokamak physics with educational contributions in plasma science.

Olivier GallayView profile

Lecturer

• Applied Probabilities
• Queueing Theory
• Production Networks
• +4 more

Olivier Gallay is a Lecturer and Invited Guest at École Polytechnique Fédérale de Lausanne (EPFL), with cross-disciplinary affiliations across Microengineering (STI), Humanities and Social Sciences (CDH), and Management of Technology (CDM). His work integrates Applied Probabilities, Queueing Theory, and Information Theory to solve complex problems in production networks and sustainable logistics. Teaching roles in Corporate Sustainability, Social Innovation, and Supply Chain Dynamics Research spans drought resilience, sweet potato supply chains, and hybrid truck-drone delivery systems Key methodologies: stochastic modeling, agent-based simulations, and combinatorial optimization Recent publications analyze nonlinear economic equilibria through van der Waals modeling, decentralized logistics platforms, and weariness dynamics in service networks.

Felix Rafael Segundo SevillaView profile

Senior Lecturer

• Power systems dynamics and control
• Digitalization and big data analytics of transmission systems
• Integration and impact of renewable energy sources
• +1 more

Felix Rafael Segundo Sevilla is a Senior Lecturer at the School of Engineering, Zurich University of Applied Sciences (ZHAW), specializing in the IEFE Electric Power Systems and Smart Grids department. His work focuses on power systems dynamics, big data analytics, and renewable energy integration. Education: PhD in Electrical Engineering (Imperial College London, 2012), MSc in Automatic Control (Universidad Autónoma de Nuevo León, 2007), BSc in Electrical Engineering (Instituto Tecnológico de Morelia, 2004) Research Interests: Power systems dynamics, renewable energy integration, big data analytics, and grid stability. He leads projects on inertia quantification, low-inertia system control, and cross-border energy scenarios like Europe-North Africa HVDC interconnections. Recent Publications emphasize machine learning for grid security, wide-area damping controllers, and EV fast-charging grid stability. His work bridges power electronics , renewable energy , and data-driven grid management . Scientific Awards: IEEE Senior Member (2019) Working Group Recognition for Outstanding Technical Report (IEEE PES, 2024) Projects & Networks: Deputy/Co-Project Leader for stability assessments, Chair of IEEE WG on Big Data for Transmission Systems, and Vice-Chair of Swiss IEEE PES Chapter. Affiliated with SCCER-FURIES and Swiss Wind Energy Network.

Marlon BoldriniView profile

Researcher

• Multiphysics Modeling
• Computational Fluid Dynamics
• Cloud Simulation
• +4 more

Marlon Boldrini is a researcher at the Zurich University of Applied Sciences (ZHAW) , affiliated with the School of Engineering and the Sensors and Measuring Systems group. He specializes in multiphysics modeling, cloud-based simulations, and computational fluid dynamics, with a focus on industrial applications such as powder coating, biomass gasification, and electrostatic particle deposition. Role: Deputy Project Leader, Team Member Key Collaborations: Gernot Kurt Boiger, Viktor Lienhard, Bercan Siyahhan, Hassan Khawaja Research Focus: His work bridges multiphysics simulation frameworks (e.g., OpenFOAM, KaleidoSim) with cloud computing platforms, enabling efficient modeling of complex systems like non-Newtonian fluid dynamics and particle spray processes. He also investigates electrostatic particle behavior and tar formation in renewable energy systems. Projects: Includes simulation-driven development of aseptic process valves, Medtech Ventil Cloudsim, Novartis Cloud Simulation, and heating elements for hot air blowers.

• Aviation Navigation
• GNSS Alternatives
• Radio Frequency Interference (RFI) Monitoring
• +3 more

Dr. Okuary Osechas is a researcher at the ZHAW Zurich University of Applied Sciences , affiliated with the School of Engineering's Aviation Infrastructure group. His work focuses on resilient navigation systems for aviation, particularly addressing GNSS vulnerabilities through alternative technologies like DME, LDACS, and RFI localization. Current projects include leadership roles in EGNSS DFMC for GBAS operations (ongoing) and DME Integrity Monitoring Enhancements (completed). Past projects involve LDACS-based navigation, tropospheric delay modeling, and multipath error detection. His research spans terrestrial navigation alternatives , GNSS jamming/spoofing mitigation , and unpiloted airspace requirements , with publications in venues like IEEE and Institute of Navigation conferences. Collaborations include Gary McGraw, Michael Felux, and Martin Strohmeier. Contact: okuary.osechas@zhaw.ch .

• Product Development
• Engineering Design
• Gear Technology
• +3 more

Dr. Hans-Jörg Dennig is a Senior Lecturer at Zurich University of Applied Sciences (ZHAW) School of Engineering, specializing in Product Development and Gear Technology. His research focuses on Additive Manufacturing, Engineering Design, and the optimization of mechanical components. Senior Lecturer in Product Development Head of Research in Product Development Industry experience in mechanical design and additive manufacturing Education: PhD in Mechanical Engineering, University of Stuttgart (2009) Mechanical Engineering, Karlsruhe Institute of Technology (2003) Certificate of Advanced Studies in University Didactics, ZHAW (2016) Research Interests: He investigates advanced manufacturing techniques like Selective Laser Melting (SLM) for gears, thermoplastic composite materials, and sustainable mobility solutions such as the BICAR electric vehicle concept. His work bridges academic research with industrial applications. Article Trends: Recent publications emphasize Additive Manufacturing's role in optimizing gear geometry, improving material properties, and developing lightweight urban mobility solutions. Key methodologies include topology optimization, transient material modeling, and fused filament fabrication experiments. Projects: He leads projects on POM gear lifetime prediction, weight-optimized flexpins, and thermoplastic gear production under the TOP GEAR initiative. His work also involves collaborations with industry partners like phi Engineering Services.

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).