Find Academic Supervisors

• Ecosystem Ecology
• Climate Change
• Hydrology
• +4 more

Dr. Johan van den Hoogen is affiliated with the Global Ecosystem Ecology Professorship at ETH Zürich's Department of Environmental Systems Science (UNH) . His research focuses on ecosystem ecology , climate change impacts , hydrological processes , and soil microbiology . He investigates global patterns in forest functional traits, soil biogeochemical cycles, and the interplay between land-use changes and microbial diversity. Key contributions include global analyses of tree wood density distributions, soil temperature dynamics, and biodiversity-carbon storage relationships. His work on flood risk management integrates social media data (e.g., Twitter/X) to assess disaster impacts, emphasizing early warning systems and evacuation modeling. He collaborates extensively with international teams, publishing in journals like Hydrological Sciences Journal , Natural Hazards and Earth System Sciences , and Nature Water . His research spans socio-hydrology , forest restoration potential , and microbial-driven carbon losses . Recent studies address the role of soil microorganisms in global biogeochemical cycles and the biogeographic distribution of fungal-bacterial ratios across ecosystems. Key affiliation: ETH Zürich, Professur Globale Ökosystemökolog (UNH G6) Research networks: Collaborations with GFZ German Research Centre for Geosciences, University of Bonn, and international hydrology consortia Focus areas: Climate adaptation, flood vulnerability, microbial ecology, and global environmental datasets

• Internet of Things
• Smart Cities
• Digital Transformation
• +7 more

Bocchi Yann serves as an Ordinary Professor at HES-SO Valais-Wallis' School of Management within the Economy and Services faculty. His primary appointment resides in the Computer Science Institute where he leads research in Internet of Things, Smart Cities, and Digital Transformation. His work bridges technical innovation with practical urban applications through multiple EU and Swiss-funded projects. His research focuses on IoT architecture design, context-aware systems, and human-centered smart environments. Key contributions include nomadic sensing platforms for cost-effective smart city implementation, geo-aware security protocols for cross-border data exchange, and semantic middleware for heterogeneous technology integration. His work demonstrates particular expertise in translating theoretical IoT concepts into deployable urban solutions through the SmartSantander testbed and other large-scale validations. His publication portfolio reveals consistent focus on IoT interoperability (2014-2017), evolving toward human-centric applications (2015-2016) and energy-aware systems (2020). The research trajectory shows progression from foundational protocol development toward practical smart city implementations with emphasis on data valorization and user experience. As principal investigator, he has secured significant research funding including 820,415 CHF for the EU IoT6 project and 50,000 CHF for GeoTrust from the Hasler Foundation. His collaborative approach spans academic institutions, Swiss cantons, and industry partners including Nokia Research Labs and PostAuto Schweiz AG. He directs the Management Information Technology program while teaching Systems Modeling in the BSc HES-SO in Management Information Systems. His industry partnerships demonstrate strong technology transfer capability, particularly in tourism management systems and cultural heritage applications.

Ruedi ArnoldView profile

Professor

• Computer Science Education
• Software Engineering
• Mobile Programming
• +5 more

Ruedi Arnold is a Professor at the Lucerne School of Computer Science and Information Technology, part of the Lucerne University of Applied Sciences and Arts. He serves as Head of the Master's Program in Specialized Media and IT Teaching and Learning Methods. His academic journey includes a PhD from ETH Zurich (2007) and a Higher Teaching Degree from ETH Zurich (2003). Education: Dr. sc. ETH (Computer Science, 2007), Dipl. Informatik-Ing. ETH (2002), Matura Type C (1996). Professional experience spans roles at ETH Zurich (2002–2007), Ergon Informatik AG (2008–2011), and EB Zurich (2009–2012). Research focuses on software engineering, programming didactics, human factors, and interactive learning environments like InfoTraffic . Projects include Skin-App (medical image analysis) and Algorithmic Thinking in Lower Secondary Education . Awards include recognition for academic excellence at ETH Zurich and Strathclyde University. He has supervised numerous student projects and contributed to educational initiatives like Scratch workshops for youth. Publications span topics from AI pedagogy to P2P systems, with recent work emphasizing computational thinking in education. He is actively involved in academic committees, including the Luzerner Maturitätskommission and CH Open Workshop-Tage.

• Software Engineering
• IT Security
• Realtime Communication Systems
• +6 more

Jürg Nietlispach is a Senior Research Associate at Lucerne School of Computer Science and Information Technology (HSLU). His work focuses on software engineering, IT security, and distributed systems. He holds a BSc in Computer Science from University of Bern with minors in Mathematics and Philosophy of Science. Education: Matura, Gymnasium Hofwil (Müchenbuchsee) BSc Computer Science, University of Bern (Minors: Mathematics & Philosophy of Science) Research Focus: App Development for iOS/Android (native and platform-independent) App Backend/Server Development CI/CD Implementation on Linux/Docker Quantum-safe Hardware Security Module Research Security conceptualization for distributed computation systems Professional Experience: Senior Software & Security Engineer at g&o embedded systems GmbH Senior Software Engineer at Admia Solutions AG Lecturer at GIBZ Freelance Software Developer and ZEND Certified Engineer Key Skills: Realtime communication protocols (PCSC, RS485) Embedded database systems Virtualization/container technologies Security architecture for distributed systems Projects: Quantum-safe Hardware Security Module Secure distributed computation system National network for MINT education development Engagements: Member of Swiss-Army Cryptology-Section (2003-2012) Musician playing Double-Bass, Guitar, and Cittern

Paolo GermanoView profile

Lecturer

• Electrical Engineering
• Mechatronics
• Inductive Energy Transfer
• +3 more

Paolo Germano is a Lecturer and Scientific Collaborator at EPFL's School of Engineering (STI), affiliated with the Department of Integrated Actuators (LAI) and the STI-SMT teaching unit. His work focuses on electromechanical systems, inductive energy transfer, and automation. He holds an EPFL engineering degree in microtechnology (1990) and has been with LAI since 1990, leading projects in motor systems, biomedical devices, and industrial automation. Key contributions include the Solar Impulse motor system, the Serpentine inductive vehicle project, and the ColoStim biomedical stimulation device. Education: 1990: EPFL Engineering Degree in Microtechnology 1985: Scientific Maturité Research Interests: Paolo's work bridges theoretical and applied electromechanical engineering. He specializes in contactless power systems for vehicles and biomedical applications, motor design optimization, and automation testing infrastructure. His projects emphasize energy efficiency and system integration, with notable contributions to inductive charging systems for industrial robots and medical implants. Publications Trends: His publications span 1995-2007, focusing on inductive energy transfer (42%), testing systems (33%), and biomedical applications (25%). Recent work emphasizes electrostatic discharge modeling in consumer electronics and clinical stimulation systems. Labs & Teams: Based at the Integrated Actuators Laboratory (LAI), he collaborates with industry partners like Medtronic, Swatch Group, and Montech AG on applied projects. His lab develops both hardware and software solutions for advanced electromechanical systems.

• Robotics
• Artificial Intelligence
• Task and Motion Planning
• +4 more

Natalia Belotti is a tenure-track Lecturer in the School of Computing at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. Her research focuses on robotics and artificial intelligence, emphasizing planning algorithms for human-centric environments. She holds a PhD and MS from Rutgers University and was a postdoctoral research associate at Rice University under Prof. Lydia Kavraki. Education: PhD and MS in Robotics, Rutgers University Postdoctoral Fellowship at Rice University Her research interests include multi-robot planning, task-motion integration, human-robot collaboration, and algorithmic guarantees in practical robotics systems. Recent work explores generative models for unobserved object detection, privacy-aware motion planning, and optimal grasp strategies in cluttered environments. Awards: Best Paper Award at IEEE MRS Nomination for Best Paper in Automation at IEEE ICRA Her current projects bridge theoretical robotics with real-world applications, involving AI-driven automation and human-centric system design. She actively contributes to conferences as an associate editor of IEEE Robotics and Automation Letters.

Stefan MangoldView profile

Lecturer

• Wireless Communication
• Visible Light Communication
• Internet of Things (IoT)
• +3 more

Dr. Stefan Mangold is a Lecturer in the Department of Computer Science at ETH Zürich, where he has taught courses on Wireless Networking and Mobile Computing since 2007. He is also the founder and General Manager of Lovefield Wireless, focusing on wireless communication protocols and systems for applications like visible light communication (VLC), IoT, and delay-tolerant networks. His academic and industry work spans themes such as wireless LAN optimization, VLC integration with IoT, and networking solutions for under-served regions. Stefan holds a Ph.D. in Electrical Engineering/Telecommunications from RWTH Aachen University. His research emphasizes practical, scalable solutions for wireless systems, including projects at Disney Research, Swisscom, and Philips. Key areas include VLC protocols, IoT connectivity, and ethical challenges in networked systems. His publications cover innovations like EnLighting (VLC using light bulbs), delay-tolerant networks for remote areas, and gesture-based device association. While no specific awards are listed, his work bridges academia and industry, reflecting contributions to both theoretical and applied wireless systems. Labs and teams: Lovefield Wireless, a hub for research and development in VLC and IoT networking.

• Pattern Recognition
• Applied Machine Learning
• Document Analysis
• +7 more

Fischer Andreas is a Professor at HES-SO (University of Applied Sciences and Arts Western Switzerland) , specifically affiliated with the School of Engineering and Architecture of Fribourg (HEIA-FR) . His research spans Pattern Recognition , Applied Machine Learning , Handwriting Recognition , and Graph-based Methods . He has secured significant grants from TAINA Technology , Swisscom , and the Hasler Foundation for projects including automatic handwriting recognition for tax forms , Swiss German translation , and graph-based keyword spotting in Vietnamese steles . Education : BSc in Computer Science from HEIA-FR. Research Highlights : Graph Neural Networks for Büchi automata classification Annotation-free alignment in historical documents Graph edit distance optimization for keyword spotting Hybrid deep learning for Vietnamese stele analysis Graph-based tumor budding analysis in digital pathology Collaborative Impact : Fischer's work bridges historical document analysis and medical imaging , demonstrated through frameworks like DIVA-DAF and tools like GammaFocus for histopathology. His 2024 conferences suggest ongoing exploration of LLM integration in document processing and OCR-free models for information extraction.

• Information Management
• Software Development
• Human-Computer Interaction
• +3 more

Laurent Sciboz is an HES Ordinary Professor and Head of the Computer Science Institute and eServices Unit at HES-SO Valais-Wallis. He specializes in information management, software development, and innovation management. His work focuses on applying ICT solutions to business challenges, including energy distribution forecasting, supply chain optimization, and digital trust systems. Leads projects like Electricity Load Forecasting for Utilities (ELF4U) and PROSECCO (product-service co-design systems) Main applicant for multiple grants totaling over CHF 1.5M from EU, CTI, and private partners Expert in EU research project evaluation and strategic innovation platforms Research emphasizes digital transformation, with recent work on trust labelling for journalistic content to enhance media credibility. Has collaborated with EPFL, UNIL, and industry partners like Valgrid and Logem.

• Cybersecurity
• Secure Software Development
• Concurrent programming
• +3 more

Associate Professor Michael Mäder at Haute école d'ingénierie et d'architecture de Fribourg holds a position within the iSIS Institute (Institut des systèmes intelligents et sécurisés). He teaches in the BSc HES-SO in Computer Science and MSc HES-SO in Engineering programs, focusing on Distributed Programming, Cybersecurity, and Secure Software Development. His research emphasizes vehicular cybersecurity, DevSecOps practices, and enterprise IT security frameworks. Recent work includes a 2024 study on secure connected mobility infrastructure, a 2019 analysis of DevSecOps training methodologies, and a 2015 contribution to IT security maturity models. No scientific awards are listed in the provided materials. He advises students in computer science and engineering disciplines from his office at HEIA_C10.09, and his work contributes to both academic programs and industry partnerships through the iSIS research institute.

• 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.

Marco D'AmbrosView profile

Professor

• Mining Software Repositories
• Software Evolution
• Software Visualization
• +2 more

Marco D'Ambros is Professor and Director of CodeLounge , the software research & development center within the Software Institute at Università della Svizzera italiana (USI) in Lugano, Switzerland. Since February 2018 he has led CodeLounge, bridging academic research with industrial practice. Education Ph.D. in Computer Science, Università della Svizzera italiana, 2010 – Dissertation: "On the Evolution of Source Code and Software Defects" M.Sc. (Laurea) in Computer Engineering, Politecnico di Milano, Italy, 2005 – Thesis: "Software Archaeology – Reconstructing the Evolution of Software Systems" Research Interests Marco’s work centers on mining software repositories , software evolution , and software visualization . He designs interactive visual analytics tools—such as Churrasco , BugCrawler , Evolution Radar —that help developers and researchers understand how large codebases change over time, where defects emerge, and how teams collaborate. Recent projects extend these ideas to microservices architectures and text mining of development communication (e.g., mailing lists, issue trackers). Scientific Awards Best Paper Award , IEEE Working Conference on Reverse Engineering (WCRE) 2009 Grants & Collaborations Between 2012 and 2018 Marco led high-impact data-integration projects for government and enterprise clients worldwide as a technical leader at Palantir Technologies , bringing industrial-scale challenges back to academia. At USI he continues to foster industry partnerships through CodeLounge, securing collaborative R&D funding for topics ranging from large-scale microservice evolution to AI-assisted program comprehension. Laboratories & Teams CodeLounge serves as an open laboratory where faculty, doctoral students, and industry engineers co-develop next-generation tooling for software evolution analysis. The lab hosts visiting researchers and maintains open-source releases of its research prototypes.

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.

Adrian HolzerView profile

Professor

• Information Systems
• Human-Computer Interaction
• Digital Education
• +4 more

Adrian Holzer is a Full Professor at the Institute of Information Management within the Faculty of Economics at the University of Neuchâtel, Switzerland. His research focuses on information systems, human-computer interaction, digital education, and computational thinking. Holzer's work explores the intersection of technology and behavior change through digital nudges, gamification, and AI-enhanced learning environments. University: University of Neuchâtel School: Faculty of Economics Department: Institute of Information Management Email: adrian.holzer@unine.ch Research Interests Adrian Holzer investigates the design and impact of digital systems on learning, behavior change, and privacy. His work spans: Interactive learning technologies and digital detox strategies AI-enhanced educational tools and chatbots Privacy literacy and ethical digital design Behavioral interventions using digital nudges Cultural data analysis (e.g., Arabic poetry structures) Collaborative knowledge sharing in NGOs and humanitarian contexts Publication Trends Over the past decade, Holzer's research has focused on designing human-centered digital interventions for education, health, and sustainability. Key trends include: Developing AI-driven learning companions and gamified systems Exploring ethical design of digital nudges for behavior change Advancing computational thinking skills through digital tools Creating privacy-aware educational platforms Applying data visualization to complex domains like linguistics and environmental behavior Investigating social dynamics in online communities