جستجوی استاد راهنمای دانشگاهی

• Sustainable Architecture
• Building Technology
• Energy Efficiency
• +۳ مورد دیگر

Marvin King is a Lecturer and Co-Leader of the Research Group on Sustainable Building and Renewal at the Lucerne School of Engineering and Architecture (HSLU T&A). He specializes in lifecycle analysis of buildings and sustainable façade design for high-rises, addressing climate change, resource scarcity, and demographic shifts. His expertise includes circular economy strategies, life-cycle cost analysis (LCC), and urban management. King holds a diploma in architecture from Technische Hochschule Darmstadt and has worked as a project and construction manager in Swiss architectural firms before joining HSLU in 2010. His research focuses on holistic approaches to sustainable building, energy-efficient renovations, and strategic real estate management. Notable projects include the BFE-funded SaNuInvest and RENOWAVE initiatives, exploring renovation strategies for institutional investors and energy-efficient facade systems. He co-leads the CAS in Strategic Building Renewal and teaches in programs like Circular Building and Real Estate Asset Management. Education: Diploma in Architecture (2006, Technische Hochschule Darmstadt). Professional Memberships: Board Member of maneco (SIA Fachverein für Management und Ökonomie im Bauwesen). King’s awards include the Förderpreis des Hessischen Baugewerbes (2006). He has published extensively on lifecycle costs, energy retrofitting, and circular economy, with works such as Gebäudetechnik - Systeme integral planen (2022) and Optimierungsstrategien im Nutzungszyklus von Immobilien (2018). Grants & Projects: Led projects like Low Tech High Rise and Cluster Renovation Projects , focusing on cost-effective, scalable solutions for building renewal. Collaborates with institutions like the Swiss Federal Office of Energy (BFE) and the Federal Office of Buildings and Logistics (BWO). His research emphasizes systemic integration of energy systems, policy-driven innovation, and sustainable urban development, bridging academic research with practical industry applications.

• Artificial Intelligence
• Constraint Programming
• Business Process Automation
• +۲ مورد دیگر

Jana Koehler is Professor and Co-Head of the AI Robotics Research Lab at Lucerne University. With a strong background in industrial research (IBM, Schindler) and academia, she leads research in AI planning, constraint programming, and business process automation. Her work focuses on industrial applications of AI, including manufacturing optimization (cable wiring benchmarks), tourism information systems, and cognitive customer service solutions. Recent publications explore approximation algorithms for combinatorial problems and constraint pattern modeling. Koehler has developed courses on AI fundamentals, knowledge representation, and software architecture. She coordinates projects on child welfare data collection and women's participation in computer science.

• Artificial Intelligence (AI) in Industry
• Machine Learning
• Natural Language Processing (LLMs)
• +۴ مورد دیگر

Prof. Dr. Esther Gelle is a Lecturer in Digital System Design at the FHNW Institute of Business Engineering, part of the FHNW School of Engineering and Environment at the University of Applied Sciences Northwestern Switzerland. Her work focuses on AI applications in industry, machine learning, natural language processing (LLMs), constraint satisfaction problems, and digital business process modeling. She has contributed to advancements in industrial automation systems, IT asset management, and configuration frameworks. Her research spans over two decades, with notable contributions in constraint satisfaction problem solving, industrial standard adaptation (e.g., IEC 61346), and autonomous IT management. She collaborates with industry partners to bridge theoretical concepts with practical applications. Her publications emphasize optimization techniques, system modeling, and automated configuration in engineering contexts. Her articles consistently explore themes like constraint-based problem solving, industrial process control, and the integration of AI into technical systems. While no awards are explicitly listed, her extensive publication record reflects sustained academic and industrial impact. She currently holds no listed students or grants but actively engages in research teams focused on automation and digital transformation. Her affiliation with the Institute of Business Engineering positions her at the intersection of technical systems and business processes, emphasizing practical solutions for modern industrial challenges. She is based at the FHNW Campus Brugg-Windisch, contributing to both educational and applied research initiatives.

• Corporate Finance
• Corporate Governance
• Financial Institutions
• +۴ مورد دیگر

Erwan Morellec is a Full Professor of Finance at the Swiss Finance Institute (SFI) @ EPFL and holder of a Swiss Finance Institute senior chair. He serves as Director of the Swiss Finance Institute at EPFL, Head of the SFI nation-wide PhD Program, and a CEPR Research Fellow. His expertise spans corporate finance, corporate governance, and sustainable finance. He teaches courses such as Introduction to Finance, Theoretical Corporate Finance, and Principles of Finance. He holds a PhD in Finance (summa cum Laude) from HEC Paris. His research focuses on capital structure, debt policies, climate-related financial risks, and shareholder activism, published in top journals like the Journal of Finance and Review of Financial Studies. He has advised numerous PhD students and contributes to academic leadership roles at EPFL’s College of Management of Technology (CDM). His awards highlight both research and teaching excellence. He leads the SFI-EM lab, focusing on asset pricing and financial markets. Current projects address climate risk in banking, innovation financing, and governance dynamics.

Anne-Florence Bitbolمشاهده پروفایل

استادیار

• Protein Evolution
• Statistical Physics of Biological Systems
• Computational Biology
• +۲ مورد دیگر

Anne-Florence Bitbol is a Tenure Track Assistant Professor at EPFL's Institute of Bioengineering, where she leads research at the intersection of statistical physics and biological evolution. Education: PhD in Physics, Université Paris-Cité (2012) MSc in Fundamental Physics, École Normale Supérieure (2009) BSc in Physics, École Normale Supérieure de Lyon (2007) Her group develops quantitative models to understand protein evolution, microbial adaptation, and sequence-function relationships. Current projects investigate how spatial structure impacts evolutionary dynamics and develop machine learning methods for protein sequence analysis. Recipient of the IUPAP Young Scientist Prize in Biological Physics (2023) and EPFL's Best Teacher Award (2023). Research combines theoretical approaches with data-driven methods to reveal fundamental principles in biological systems. Recent publications include advances in protein language modeling, evolutionary rescue mechanisms, and CRISPR-Cas system dynamics. Teaches graduate courses in genomics and computational biology methods.

• Predictive Control
• Machine Learning
• Stochastic MPC

Lukas Hewing is a Lecturer at ETH Zürich's Department of Mechanical and Process Engineering. He received his BSc and MSc in Mechanical Engineering and Automation Engineering from RWTH Aachen University, where he was awarded the Springorum Denkmünze for his master's work. He is currently pursuing a PhD in the Intelligent Control Systems Group at ETH Zürich. His research focuses on predictive control of dynamical systems with machine learning methods and stochastic MPC. Key areas include Gaussian process-based control, autonomous racing applications, and safety-critical systems design. His work bridges control theory with practical implementations in robotics and medical devices. Hewing's publications demonstrate a strong focus on learning-based control methods applied to autonomous systems and medical technology. Recent work shows increasing applications in safety-critical domains like autonomous vehicles and ventilators, combining theoretical rigor with practical validation.

Elena Raychevaمشاهده پروفایل

پژوهشگر

• Renewable Energy Systems
• Power Systems Planning
• Energy Storage Technologies
• +۳ مورد دیگر

Dr. Elena Raycheva is a researcher affiliated with ETH Zürich's Department of Information Technology and Electrical Engineering, working within the Professorship for Electric Power Systems. Her research focuses on energy systems transformation, emphasizing renewable integration, hydrogen infrastructure, and grid resilience. She collaborates closely with Professors Gabriela Hug and Giovanni Sansavini on interdisciplinary projects. Key research interests include: renewable energy systems, power systems planning, and energy storage technologies. Her work addresses challenges of decarbonization through analysis of power-to-gas systems, hydrogen storage economics, and climate-resilient infrastructure. Notable contributions include studies on Switzerland's energy transition pathways published in Energy and Applied Energy . Her doctoral thesis (2023) developed ensemble models for net-zero system planning. Recent publications analyze flexibility provision in integrated power-gas systems and hydrogen storage roles in hydropower-dominant grids. Laboratory affiliations include the Energy Systems Group at ETH Zurich. She leads workpackages in the SWEET consortium's PATHFNDR project, funded by Swiss Federal Office of Energy.

Evren Mert Turanمشاهده پروفایل

مدرس

• Process Systems Engineering
• Machine Learning
• Optimization
• +۳ مورد دیگر

Dr. Evren Mert Turan is a Lecturer at ETH Zürich's Department of Energy and Process Systems Technology. His academic background includes a Bachelor's and Master's in Chemical Engineering from the University of Cape Town, followed by a PhD in Process Systems Engineering at the Norwegian University of Science and Technology. His research focuses on integrating machine learning and optimization techniques to address decision-making challenges under uncertainty in energy systems and process engineering. Evren's expertise spans model predictive control, real-time optimization, and data-driven approaches for complex systems. He has contributed to advancements in semi-infinite programming, feedback control policies, and steady-state detection algorithms. His work emphasizes practical applications in sustainable energy systems and industrial process optimization. Key research trends include the development of neural network-based control strategies, convex optimization methods for reduced computational complexity, and experimental validation of novel algorithms. His publications highlight interdisciplinary approaches blending machine learning with traditional engineering methodologies. Evren currently teaches the course 'Introduction to Modeling and Optimization of Sustainable Energy Systems' and actively engages in collaborative research at ETH Zürich. His contributions to scientific machine learning aim to enhance robustness and reliability in dynamic systems analysis.

• Transportation and Logistics
• Vehicle Sharing Systems
• Vehicle Routing Problems
• +۴ مورد دیگر

Ataç Selin is a Researcher at the University of Applied Sciences and Arts Western Switzerland (HES-SO), affiliated with the Interdisciplinary Institute for Business Development (IIDE) at HEIG-VD. She holds a PhD in Transportation Science from EPFL (2023) and focuses on optimizing vehicle sharing systems, logistics, and sustainable urban mobility. Her work integrates simulation-optimization frameworks to address challenges in bike/car sharing systems, electric vehicle infrastructure, and craft beer distribution logistics. Education: PhD in Transportation Science (2023), École Polytechnique Fédérale de Lausanne (EPFL) MSc in Operations Research (2016), Middle East Technical University (METU) BSc in Industrial Engineering (2013), Middle East Technical University (METU) Research Interests: Her research spans vehicle routing optimization, demand forecasting in transportation networks, and decision-making frameworks for sustainable systems. She has pioneered a holistic management framework for vehicle sharing systems, emphasizing rebalancing strategies, clustering algorithms, and environmental impact mitigation. Key Projects: "Craft Beer Distribution Optimization" (2024), funded by Innosuisse, focuses on collaborative logistics platforms for Swiss craft breweries. "Light Electric Vehicle Sharing Systems" (2024), developing decision support tools for EV infrastructure. Awards: Recipient of the EPFL EDCE Mobility Award (2021) for contributions to VSS optimization and the METU Best Graduate Performance Award (2016).

Ufuk Akcigitمشاهده پروفایل

استاد

• Macroeconomics
• Economic Growth
• Technological Innovation
• +۳ مورد دیگر

Ufuk Akcigit holds the prestigious Arnold C. Harberger Professorship in Economics at the University of Chicago, where he serves as director of the Global Center for Economic Growth. He maintains significant research affiliations as a research associate with the National Bureau of Economic Research (NBER) in both the Productivity, Innovation, and Entrepreneurship and Economic Fluctuations and Growth programs, and as a research affiliate with the Centre for Economic Policy Research (CEPR). His research focuses on macroeconomics, economic growth, technological innovation, entrepreneurship, productivity, and firm dynamics. Akcigit examines how technological innovation drives economic growth while addressing contemporary challenges including inequality and climate change. His work demonstrates how innovation patterns connect to broader economic phenomena, with particular attention to the relationship between tax policy and innovation incentives, the dynamics of inventor employment, and cross-border knowledge spillovers. Akcigit's research output reveals a strong emphasis on understanding the mechanisms of economic growth through innovation networks, the impact of policy interventions on entrepreneurial activity, and the historical patterns of technological development. His work frequently employs large-scale datasets, including patent records and business registries, to trace innovation dynamics across time and space. As academic lead for the World Development Report 2024 and co-editor of The Economics of Creative Destruction: New Research on Themes from Aghion and Howitt , Akcigit has shaped important scholarly conversations about innovation and growth. His leadership extends to co-directing the Growth Academy, which likely serves as a hub for research and policy discussion on economic development. Before joining the University of Chicago, Akcigit served as an assistant professor of economics at the University of Pennsylvania. He earned his BA in economics from Koç University in Istanbul in 2003 and completed his PhD in economics from the Massachusetts Institute of Technology in 2009, establishing a strong foundation for his research career focused on the intersection of innovation and economic growth.

• Database Systems
• Data Science
• Ranking
• +۸ مورد دیگر

Davide Martinenghi is a contract professor at the Università della Svizzera italiana (University of Italian Switzerland) and an Associate Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano, Italy. His academic career bridges theoretical and applied research in database systems and data science. Educational Background: M.Sc. in Computer Engineering from Politecnico di Milano Ph.D. in Computer Science from Roskilde University, Denmark His research focuses on advanced database topics such as ranking mechanisms, preference modeling, conceptual modeling of data, and fairness in data science and AI. He has contributed extensively to major journals and conferences including ACM Transactions on Database Systems, VLDB Journal, and IEEE Transactions on Knowledge & Data Engineering. Key domains of his work include: Database optimization and constraint handling Big data analytics and business intelligence Ranking algorithms and data analysis Ensuring fairness in AI-driven data systems Martinenghi actively engages in academic service as an Editorial Board member for the Data & Knowledge Engineering Journal and has participated in program committees for top-tier conferences like ACM-SIGMOD, ICDE, and PVLDB.

Martin Skamletzمشاهده پروفایل

مدرس

• Music Theory
• Historical Performance Practice
• Contemporary Music
• +۵ مورد دیگر

Martin Skamletz is a Lecturer at the Bern University of the Arts , where he has been Head of the Institute of Interpretation since 2007 . He also served as Professor of Music Theory and Performance Practice at the Vorarlberg State Conservatory Feldkirch from 2006 to 2022. His career spans teaching, performance, and research with a focus on Classical Theory , Historical Performance Practice , and Contemporary Music . He has held teaching qualifications at institutions like the Royal Conservatory of Brussels and the University of Music and Performing Arts in Vienna . Education Highlights : M.MUS. in Traverso (Barthold Kuijken, Marc Hantaï, Frank Theuns) at Royal Conservatory of Brussels (1993–1998) Teaching qualification IGP 1 in Flute at University of Music and Performing Arts Vienna (1992–1995) Mag.art. in Music Theory at University of Music and Performing Arts Vienna (1988–1993) Research Focus : Martin Skamletz’s work bridges music theory , historical performance practice , and contemporary composition . His publications and lectures examine 19th-century opera adaptations , brass instrument evolution , and Beethoven’s keyboard innovations . He specializes in transnational musical exchanges and editorial practices in works by composers like Grétry, Cherubini, and Albrechtsberger. His ongoing dissertation investigates Grétry’s operatic arrangements in Vienna (1778–1843). Article Trends : His recent publications analyze French opera in Viennese contexts , brass instrumentation , and keyboard range expansion around 1800. These works reflect his interest in cross-cultural adaptation , instrumental limitations , and editorial interventions in music history. Teaching & Leadership : Skamletz contributes to university didactics and artistic research , particularly in projects funded by the Swiss National Science Foundation (SNSF) and Innosuisse . He has led initiatives on practice-oriented research and third-party funding for music institutions. His teaching includes historical performance practice and music theory at institutions like the Vorarlberg State Conservatory and the Free Music School Basel . Labs & Teams : Skamletz is central to the Institute of Interpretation at the Bern University of the Arts, which explores historically informed performance and instrumental conservation . He collaborates with the Swiss Music Education Association and participates in symposia like the Romantic Brass Symposium .

Emmanuelle Reuterمشاهده پروفایل

استاد

• Innovation Management
• Strategic Innovation
• Regulatory Change
• +۴ مورد دیگر

Emmanuelle Reuter serves as Full Professor of Innovation Management and Director of the Master of Science in Innovation at the University of Neuchâtel's Faculty of Economics, Institute of Management. Her work centers on strategic innovation adaptation amid regulatory and technological disruptions, with significant contributions to sustainability and cognitive perspectives in organizational contexts. Her academic foundation includes a doctorate in management from the University of St. Gallen, followed by postdoctoral studies at the same institution and a research stay at the University of Massachusetts. This background informs her interdisciplinary approach to complex organizational challenges. Professor Reuter's research examines how organizations navigate regulatory shifts and technological transformations through cognitive adaptation strategies. She investigates procedural uncertainty in energy policy transitions, ecosystem leadership dynamics, and the interplay between institutional pressures and strategic innovation. Her work consistently bridges theoretical rigor with practical applications in sustainability and regulatory compliance. Analysis of her recent publications reveals a strong trajectory toward integrating cognitive science with strategic management, particularly in energy policy contexts and global norm adoption. Her scholarship demonstrates increasing focus on sociocognitive perspectives in innovation ecosystems and the psychological dimensions of regulatory adaptation. Her scientific contributions have earned recognition from leading academic bodies: Academy of Management award Strategic Management Society award Professor Reuter actively mentors five PhD candidates while securing competitive research grants. She teaches core courses including Global Innovation Management and Strategic Management of Technology, and has delivered invited lectures at prestigious institutions including ETH Zurich and the University of St. Gallen. Her leadership extends to directing the Master of Science in Innovation program and developing continuing education modules in Design Thinking for public sector innovation. Based at the Institute of Management, she leads research initiatives examining sustainable business models and cognitive adaptation in regulatory environments, collaborating with interdisciplinary teams across European institutions on energy transition projects.

Hassan Fazilatyمشاهده پروفایل

پژوهشگر

• Cancer Biology
• Developmental Genetics
• Tissue Regeneration
• +۳ مورد دیگر

Academic Profile Dr. Hassan Fazilaty is a Research Associate at the University of Zurich's Institute of Molecular Life Sciences, where he investigates embryonic gene reactivation in cancer and regeneration. Previously, he held postdoctoral positions at the University of Zurich and Spain's Instituto de Neurociencias CSIC-UMH. He earned his PhD from Universidad Autonoma de Madrid and an MSc in Human Genetics from Tehran University of Medical Sciences. Research Focus His research integrates developmental biology and oncology, emphasizing: Oncoembryonic Programs : How embryonic genes drive cancer progression. Epithelial-Mesenchymal Transition (EMT) : Mechanisms enabling metastasis. Tissue Regeneration : Embryonic pathways in wound healing and disease. Scientific Recognition Key awards include: Ernst Hadorn Transitional Fellowship (2026–2028) 3RCC Grants for alternatives to animal testing (2021–2025) Santiago Grisolia Fellowship (2014–2017) Lab & Resources He works in Prof. Konrad Basler's lab, which focuses on Wnt signaling and developmental pathways in disease. His projects leverage single-cell genomics and in vivo models, supported by Swiss and EU funding.

• Evolutionary Biology
• Developmental Biology
• Genomics
• +۳ مورد دیگر

Jaruschka Aisha Pecnik is a researcher at the University of Basel , affiliated with the Faculty of Humanities and Natural Sciences, Department of Environmental Sciences. She works in the research group led by Prof. Dr. Patrick Tschopp, focusing on regulatory evolution and its role in phenotypic diversity through vertebrate embryogenesis and post-embryonic development. Research Focus: Regulatory evolution of skeletogenesis, cell fate specification, phenotypic plasticity in developmental programs, and environmental interactions with developmental constraints. Contact: jaruschkaaisha.pecnik@unibas.ch | Spalenring 145/147, 4055 Basel, Switzerland