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Dimitri Konstantas is a Full Professor of Computer Science at the University of Geneva, where he maintains an active research program at the intersection of mobile computing and healthcare applications. His work spans over two decades with significant contributions to mobile health systems, particularly through the MobiHealth project, and serious gaming applications for mental health treatment through the PlayMancer project. Professor Konstantas' research interests focus on the development of innovative mobile health technologies, including wireless body area networks for patient monitoring, quality of service mechanisms for mobile healthcare applications, and location-based services for seniors. His work bridges computer science with practical healthcare applications, demonstrating a strong commitment to translating theoretical research into real-world solutions that improve patient care and health outcomes. Analysis of his recent publications reveals a consistent trajectory in mobile health systems with a particular emphasis on applying ambient intelligence and serious gaming techniques to healthcare challenges. His work shows evolution from foundational mobile networking research to applied healthcare technologies, with increasing focus on psychological applications and therapeutic interventions through digital means, particularly in the treatment of eating disorders. Professor Konstantas has been instrumental in leading major European research projects including MobiHealth and PlayMancer, which have resulted in numerous publications and practical implementations of mobile health technologies. His work has established important frameworks for mobile quality of service, patient monitoring systems, and therapeutic gaming applications that have influenced the field of digital health. His laboratory work has centered around the development of the MobiHealth system for remote patient monitoring and the PlayMancer platform for digital therapy applications, demonstrating his commitment to creating practical, deployable health technology solutions that address real clinical needs.

• Mobile Health Systems
• Wireless Networks for Healthcare
• Body Area Networks
• +7 more

Michael David König is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich, specializing in Innovation Economics within the KOF Swiss Economic Institute. His research focuses on the intersection of network theory and economics, particularly examining R&D networks, technology spillovers, and innovation dynamics. König maintains an active research profile with publications spanning economics, network science, and computer science. König's research spans multiple domains including economic network analysis, innovation economics, and technology diffusion. He has made significant contributions to understanding how firms form R&D collaborations and how knowledge flows through these networks. His work combines theoretical modeling with empirical analysis of large-scale network data, revealing patterns such as oscillatory dynamics in R&D collaboration intensity. Recent research has also addressed practical economic issues, including firm responses to the COVID-19 pandemic and factors influencing R&D investment decisions in Switzerland. His interdisciplinary approach bridges economics with computational methods, reflecting his background in both theoretical and applied network analysis. König's publication record demonstrates a strong interdisciplinary trajectory, beginning with contributions to wireless network protocols and distributed systems before focusing more intensively on economic applications of network theory. A consistent theme across his career has been the study of how networks evolve and how these structures influence outcomes in various domains, from technology diffusion to economic fluctuations. His research often employs sophisticated modeling techniques to analyze the coevolution of networks and economic behavior, with particular attention to the dynamics of knowledge creation and diffusion. König teaches Introduction to Microeconomics at ETH Zürich, as evidenced by his listing in the Autumn Semester 2025 course catalog. His office is located at LEE G 224, Leonhardstrasse 21, 8092 Zürich, Switzerland. He is affiliated with the KOF Innovation Economics research group, which focuses on innovation, technological change, and their economic implications.

• Economics
• Innovation Economics
• R&D Networks
• +4 more

Mark Robinson is a Professor at the Department of Molecular Life Sciences, University of Zurich, and affiliated with the Swiss Institute of Bioinformatics. He leads the Robinson Research Group, focusing on Computational Biology Bioinformatics Single-Cell RNA Sequencing Statistical Genomics His work bridges computational method development with applications in cancer immunology, epigenetics, and developmental genetics. Key research contributions include Development of bioinformatics tools like pubassistant.ch, scDblFinder, and DESpace Advancements in spatial transcriptomics and single-cell data analysis Studies on epigenetic aging and tumor microenvironment dynamics Notable collaborations span institutions in Switzerland, Germany, and international agricultural pest research groups. His recent publications (2023-2025) emphasize Spatial omics data interpretation Interdisciplinary collaboration frameworks Optimized tissue processing methods Computational benchmarks for reproducible research While no specific scientific awards are mentioned in the data, his software tools and methodological papers demonstrate significant impact on open science and bioinformatics communities.

• Computational Biology
• Bioinformatics
• Statistical Genomics
• +4 more

Oliver Kröcher is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences (SB) , specifically in the Institute of Chemical Sciences and Engineering (ISIC) and the SCGC-ENS group. His research focuses on heterogeneous catalysis for environmental and energy applications, including emission control, NOx and N2O abatement, methane oxidation, and CO2 utilization. He also contributes to educational initiatives, such as Catalysis for emission control and energy processes .

• Heterogeneous Catalysis
• Environmental Engineering
• Emission Control
• +3 more

Matthias Grossglauser is a Full Professor at the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he co-directs the Information and Network Dynamics lab. He serves on the Federal Communications Commission (ComCom), Switzerland's telecommunications regulatory authority, and previously directed EPFL's Doctoral School in Computer and Communication Sciences (2016-2019). His career includes positions at Nokia Research Center (Internet Laboratory lead), AT&T Research, and EPFL (Assistant Professor). Education Ph.D. in Computer Science from Sorbonne Universités M.Sc. in Electrical Engineering from Georgia Institute of Technology Engineering degree in Communication Systems from EPFL Research Focus Grossglauser's research integrates machine learning, stochastic networks, and discrete choice models to address challenges in artificial intelligence, network science, computational social sciences, and recommender systems. His work emphasizes both theoretical foundations and practical applications, including political forecasting, climate communication, and network dynamics. Publication Trends Recent articles demonstrate strong focus on causal inference, optimal learning algorithms, and social network analysis. Dominant themes include reinforcement learning optimization, graph-based modeling, and NLP applications in political science. Methodological innovations in matrix factorization, Bayesian modeling, and stochastic processes recur throughout. Awards & Honors Fellow of IEEE and ELLIS Cor Baayen Award (1998) CoNEXT/SIGCOMM Rising Star Award (2006) Best Paper Awards: ACM COSN (2014), IEEE INFOCOM (2001) Nokia Mobile Data Challenge Winner (2012) Academic Leadership Has advised 16+ PhD students to completion and currently supervises 4 doctoral candidates. Secured research funding for projects including dynamic recommender systems, network alignment algorithms, and computational social science tools (e.g., Predikon.ch vote prediction platform). Leads the Information and Network Dynamics lab, focusing on AI-driven network analysis.

• Machine Learning
• Stochastic Networks
• Discrete Choice Models
• +4 more

Prof. Dr. Maike Scherrer is a Professor at the Zurich University of Applied Sciences (ZHAW) School of Engineering, where she leads research in sustainable mobility and supply chain management. Her work focuses on developing innovative solutions for sustainable and circular supply chains, urban logistics, and resilient transportation systems. She directs multiple research projects including Sustainable and Circular Supply Chains for the MEM-industry and the Sustainable Mobility Lab, collaborating with industry partners to address critical challenges in sustainable logistics and mobility. Prof. Scherrer's research spans several key areas in sustainable operations and supply chain management. Her work in sustainable supply chains examines how to achieve net-zero emissions through circular economy principles and systemic approaches. In urban logistics, she develops innovative concepts like Smart Urban Multihub systems to reduce freight traffic and improve city livability. Her research on supply chain resilience investigates how to design networks that can withstand disruptions while maintaining mission-critical supplies. She also explores the electrification of freight fleets and temperature-controlled supply chains to reduce environmental impacts. Her recent publications demonstrate a strong focus on applying operations research and systems thinking to sustainability challenges. Key trends include using agent-based modeling to assess circular economy supply chains, developing optimization approaches for resilient networks, and examining the spatial aspects of pharmaceutical supply chains. Her work bridges theoretical frameworks with practical applications, particularly in the Swiss context but with implications for global supply chain sustainability. Prof. Scherrer leads multiple significant research projects including Sustainable and Circular Supply Chains for the MEM-industry (ongoing), Techno-Economic Grid Connection Optimization for Electric Freight Fleets (ongoing), and Designing and simulating resilient supply chain networks (ongoing). She serves as Deputy Project Leader for the Sustainable Mobility Lab and has completed notable projects such as User-based redistribution for free-floating car sharing and Predictive replenishment of urban distribution centres. Her research group operates within the Sustainable Mobility research focus at ZHAW's School of Engineering, collaborating with industry partners across multiple sectors including manufacturing, pharmaceuticals, and urban transportation. The team applies interdisciplinary approaches combining operations research, systems analysis, and sustainability science to develop practical solutions for complex mobility and logistics challenges.

• Sustainable Supply Chain Management
• Circular Economy
• Urban Logistics
• +4 more

Prof. Dr. habil. Mathias Bonmarin is a Professor and Head of the Sensors and Measuring Systems Group at the Zurich University of Applied Sciences (ZHAW) School of Engineering since 2019. He also holds a Visiting Professor position at Tufts University (2023-2024) and was a Fulbright Visiting Research Scholar at the University of Cincinnati (2023-2024). His academic journey includes a Habilitation in Experimental Medicine from the University of Basel (2022-2024), a PhD in Physical Chemistry (2006-2010), and multiple master’s degrees in Optics, Biomedical Engineering, and Economics. Research Focus: Sensors, thermal imaging, photothermal therapy, biomedical device development Key Collaborations: IEEE, Swiss Innovation Agency (Innosuisse), UZH Digital Society Initiative Scientific Awards include the Outstanding Employer Award , Distinguished Lecturer and Faculty Course Development Award from IEEE, DIZH Fellow , and multiple Lab Science Awards as thesis supervisor. He has authored over 20 peer-reviewed publications and holds 7 patents related to skin sensors and photothermal systems.

• Biomedical Sensors
• Thermal Imaging
• Photothermal Therapy
• +3 more

Stefan Schori is a Lecturer at Bern University of Applied Sciences in the Department of Electrical Engineering and Information Technology within the School of Engineering and Computer Science. He serves as Group Leader for Electricity Networks and conducts research at the Institute for Energy and Mobility Research (IEM) and the BFH Energy Storage Center. Dr. Schori also represents the Engineering and Computer Science Department in the Sustainable Development Commission of BFH. His primary research interests focus on electrical energy supply systems with decentralized generation, storage and flexible consumers. He specializes in planning and operation of electrical distribution networks considering increasing PV installations, electric mobility and heating electrification. His work addresses power quality issues in distribution networks caused by modern equipment connections and develops optimization methods for grid planning and operation. Dr. Schori has published extensively on topics including target grid planning, quality reserves in distribution networks, and grid-friendly operation of battery storage systems. Dr. Schori leads multiple research projects including PLANET, QuVert, Bat4SG, and OptiQ, which address critical challenges in modern electrical grid operation and planning. His research has resulted in practical methodologies and tools for utilities and grid operators facing challenges from increasing electrification and renewable energy integration. Best graduate of the Master's program 2017 of the Bern University of Applied Sciences Graduated with distinction as a Dipl.-Ing. FH in 2007 in Electrical and Communication Technology Dr. Schori actively supervises Bachelor's and Master's students on projects related to electrical energy networks, power quality, and energy storage systems. His professional affiliations include Chairman of the Swissolar Decentralized Storage Expert Committee, board member of the Power-Quality-Group CH, and Chairman of TK 8 (System aspects of electrical energy supply) at the Swiss Electrotechnical Committee. He also leads the Electricity Networks Laboratory, which focuses on developing methodologies for distribution network modeling, target grid planning, and integration of storage systems for grid stability.

• Electrical energy supply with decentralized generation, storage and flexible consumers
• Planning and operation of electrical distribution networks with increasing PV systems, electric mobility and heating electrification
• Voltage quality in electrical distribution networks
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Dirk Niepelt is a Professor of Macroeconomics at the University of Bern's Economic Institute and a CEPR research fellow. He teaches multiple graduate and undergraduate courses including Macroeconomics I & II, Macro Finance, and Fiscal and Monetary Policies. His academic work bridges theoretical macroeconomics with practical policy analysis in monetary economics and financial regulation. Niepelt's research focuses on the intersection of digital finance, monetary policy, and banking regulation. He has made significant contributions to understanding central bank digital currencies (CBDC), particularly examining their implications for traditional banking systems and monetary policy transmission. His work on epidemic control modeling during the pandemic demonstrated the application of macroeconomic frameworks to public health crises. He has also conducted influential research on too-big-to-fail institutions, public liquidity backstops, and the social costs of liquidity provision. His recent publications reveal a strong emphasis on the evolving digital finance landscape, with numerous papers analyzing CBDC designs across different jurisdictions. Niepelt frequently collaborates with Cyril Monnet and Remo Taudien on Swiss banking regulation issues, producing quantitative analyses of too-big-to-fail subsidies and liquidity backstop mechanisms. His research combines rigorous theoretical modeling with practical policy recommendations, often addressing immediate regulatory challenges. Niepelt serves as a member of the Bank of England and HM Treasury's CBDC Academic Advisory Group, reflecting his standing as a leading expert in digital currency research. His analysis of the Swiss banking sector, particularly regarding UBS and Credit Suisse, has informed policy debates on financial stability. He has estimated that UBS Group AG benefited from an annual senior debt subsidy of approximately $2.9 billion due to its too-big-to-fail status. As an educator, Niepelt emphasizes microfoundations and dynamic aspects of economic decision-making in his teaching. His courses follow established textbooks while incorporating cutting-edge research, and he maintains an active academic blog discussing contemporary economic issues. His work on fiscal theory of the price level (FTPL) and New Keynesian model critiques has contributed to ongoing debates about monetary policy transmission mechanisms.

• Macroeconomics
• International Finance
• Public Finance
• +7 more

Andrea Emilio Rizzoli is a Professor at SUPSI's Department of Innovative Technologies and Director of the Dalle Molle Institute for Artificial Intelligence (IDSIA). With dual Swiss-Italian citizenship, he holds a PhD in Computer and Automatic Control Engineering from Polytechnic University of Milan (1993). His career includes international research positions at Université de Lausanne and CSIRO Australia. His research focuses on: Intelligent decision support systems Logistics and environmental systems modeling Sustainable transportation solutions Uncertainty management in computational models He leads projects like GoEco! for sustainable mobility and rail freight optimization systems. Honors include: Presidency of iEMSs (2012-2014) Membership in ZALF's Scientific Committee 200+ publications with significant citation impact (h-index 22/30) He teaches courses on dynamic systems modeling and simulation, serving as head of several academic modules at SUPSI.

• Artificial Intelligence
• Decision Support Systems
• Logistics Modeling
• +3 more