Find Academic Supervisors

• Human-Computer Interaction
• Energy Efficiency
• Robotics
• +4 more

Julien Nembrini is a Lecturer and Senior Researcher at the Department of Informatics within the Interfaculty of Informatics at the University of Fribourg. His roles include affiliations with the Human-IST (Human-centered Interaction Science and Technology) group and the Department of Informatics. He holds a PhD in Mechanical Engineering and focuses on interdisciplinary research at the intersection of human-computer interaction, robotics, and sustainable architecture. His research interests span human-building interaction , energy-efficient lighting systems , swarm robotics , and computational design tools . Notable projects include developing smart lighting systems that balance energy efficiency with user comfort, and exploring emergent behaviors in wireless robotic swarms. He has collaborated on projects like VOILES/SAILS (self-assembling lighter-than-air robotic structures) and Source Studio (teaching programming to architects). Recent work emphasizes user-centered approaches to technology integration, such as no-code programming for industrial robots and visual analytics for building management systems (BMS). His publications highlight interdisciplinary methods, combining simulation, machine learning, and human factors analysis. He has contributed to book chapters on topics like low-carbon building design and swarm engineering, and has taught courses integrating computational methods with architectural and engineering practices. His work often bridges academic research with practical applications in sustainability and human-centered technology.

Max MonauniView profile

Professor

• Controlling
• Gamification
• Simulation-Based Learning
• +4 more

Professor Max Monauni holds a professorship in Controlling and Simulation-Based Learning at the Lucerne School of Business (HSLU), specifically within the Institute of Financial Services Zug (IFZ). He is a full-time academic with a PhD in Business Administration (Dr. rer. pol.) from the University of Stuttgart, complemented by advanced studies in Controlling, international postgraduate programs at EGADE Tecnológico de Monterrey (Mexico) and Macquarie University (Australia), and a Diplom-Betriebswirt degree in Procurement & Logistics from Pforzheim University. His professional experience spans over 15 years in academia and industry, including roles as a Corporate Learning & Business Development Consultant at TATA Interactive Systems and adjunct lecturer positions at multiple institutions. His teaching focuses on Controlling, Management Accounting, Behavioral Management Control, and gamification-driven learning methodologies. Research interests revolve around gamified learning solutions, data-driven decision frameworks, and strategic execution through business simulations. Notable projects include exploring gamified community building in hospitality, developing AI-based simulation generators, and analyzing data as strategic corporate assets. His work bridges educational innovation with practical business challenges, emphasizing interactive learning and digital transformation in financial services. Publications span academic journals, conference proceedings, and industry articles, with a focus on simulation-based pedagogy, agile methodologies, and production network agility. He actively contributes to professional communities through jury roles in educational technology awards and international conference participation.

• Controlling
• Management Accounting
• Cost Accounting
• +3 more

Linard Nadig serves as a Lecturer at the Institute of Financial Services Zug (IFZ) within the Lucerne School of Business, Lucerne University of Applied Sciences. Previously, he held academic positions including Visiting Assistant Professor at the University of Washington, Seattle (1996-1997) and Maître Assistant at the University of Fribourg (1997-2001), where he led the Seminar for Controlling. His current role at IFZ since 2019 encompasses teaching and project leadership in financial services, continuing his decades-long specialization in accounting and control systems. Education: Doctorate in Economics (Dr. oec. Publ) from University of Zurich, dissertation on "Spin Offs mittels Management Buyout" Federal Diploma as Commerce Teacher (Eidg. dipl. Handelslehrer) Studies in Economics at University of Zurich Research Interests: Nadig's work centers on Controlling and Management Accounting , with significant contributions to Cost Accounting, Corporate Governance, and Financial Services. His research emphasizes practical applications in Swiss financial institutions, particularly in the Zug region. He has developed frameworks for strategic/operational controlling, integrating digital transformation and risk management, while addressing contemporary challenges like E-Business accounting and regulatory compliance. His expertise bridges theoretical accounting principles with real-world business leadership. Publication Trends: Over two decades, Nadig's publications evolved from foundational cost accounting (e.g., process costing) to digital innovation (E-Business controlling, e-learning in accounting) and financial regulation. Recent works (2000-2017) consistently address the intersection of traditional accounting principles with evolving business models, reflecting his focus on practical solutions for the financial sector through frameworks like Balanced Scorecard and risk-based internal control systems. Scientific Awards: Award for Collaborative Accounting Education Project (1998) for "International Accounting – A Distance Learning Approach" Preis der Organisation "Jugend und Wirtschaft" (1996) for textbook "Einführung in die Kostenrechnung" Advising and Grants: While specific advisees aren't listed, Nadig coordinated MBA modules in Management Accounting at University of Fribourg (2000-2015) and supervised numerous research projects including "Integrität als Führungsinstrument", "Advanced Financial Accounting", and "Shared Service Center Controlling". His consulting mandates cover Controlling/Accounting and Financial Leadership across Swiss industries, often translating academic research into practical business solutions. Labs and Teams: As former Director of IFZ (2005-2019) and head of the Competence Center Controlling/Accounting (2001-2004), Nadig led interdisciplinary teams on projects like "Controlling-Wiki" (2015), "CyberSecurity", and "Bank Performance in Eastern and Western Europe". He fostered international collaborations with RMIT University, ESSEC Paris, and Turkish institutions, establishing IFZ as a hub for applied financial research in Zug.

• Artificial Intelligence
• Automation
• Control Systems
• +7 more

Stefan Niederberger is a Senior Researcher at the Institute of Electrical Engineering IET iHomeLab, part of the Lucerne School of Engineering and Architecture at Lucerne University of Applied Sciences and Arts (HSLU). His research focuses on AI-driven systems for smart environments, trustworthy AI, and hybrid modeling. He holds a Doctorat d’Automatique from Université de Haute-Alsace and advanced degrees in Mechatronics and Automation from Fachhochschule Nordwestschweiz. Education: Doctorat d’Automatique, Université de Haute-Alsace (2012) Master of Science in Mechatronics & Automation, FHNW (2015) Bachelor of Science in Industrial Automation, FHNW (2012) CAS in DevOps Leadership and Agile Methods (2021) CAS in Cloud and Platform Management (2021) His research projects include KI im Gebäude (AI for smart buildings), RecoveryFun (AI-driven tele-rehabilitation), and CleverGuard (contextual anomaly detection for elderly care). He specializes in digital twin architectures, explainable AI, reinforcement learning, and cloud-native systems . Professional competencies span Agile methodologies, DevOps, and full-stack development. Key research themes: Hybrid modeling for real-time optimization, trustworthy AI systems, and scalable digital twin platforms. His work bridges academic research with industrial applications in energy systems, healthcare, and automation. Advising and grants: While no formal advisees are listed, his roles in multi-year research projects (e.g., PRECARRHD, Smart Maintenance 4.0) imply collaborative research leadership. Active in grant-funded initiatives focusing on AI integration in infrastructure and healthcare. Labs/Teams: Head of the iHomeLab’s AI for Smart Environments division, collaborating with industry partners like Belimed AG and academic networks in mechatronics and control systems.

• Environmental Engineering
• Sustainable Energy Systems
• Corporate Ethics
• +3 more

Claas Wagner is a Lecturer at the Lucerne School of Engineering and Architecture, part of Lucerne University of Applied Sciences and Arts (HSLU). He is affiliated with the Institute of Innovation and Technology Management (IIT), focusing on interdisciplinary research and education at the intersection of engineering, sustainability, and corporate ethics. His professional experience includes roles such as Energy and Environmental Consultant since 2009, External Expert at the European Food Safety Authority (EFSA) from 2014–2016, and a Ph.D. fellow at Vattenfall SA from 2010–2013. His expertise spans energy systems optimization, sustainable practices, and innovative pedagogical approaches. Research interests include environmental engineering, sustainable energy systems, corporate ethics, and the integration of renewable technologies. Notable projects involve electrification of construction sites, energy efficiency in Swiss industries, and adaptable energy platforms for local markets. Publications highlight contributions to sampling methodologies in analytical chemistry, energy efficiency assessments, and educational innovation, reflecting his dual focus on applied science and teaching excellence. No scientific awards are explicitly mentioned in the provided information. He advises master’s students and oversees industrial projects, emphasizing practical, project-based learning. His work is anchored at the IIT, fostering interdisciplinary solutions to contemporary technical and environmental challenges.

• Building Technology
• Energy Systems
• Heating and Cooling Infrastructure
• +3 more

Timotheus Zehnder is a full-time Lecturer at the Institute of Building Technology and Energy (IGE) at Lucerne University of Applied Sciences and Arts (HSLU). His expertise spans building technology, energy economics, and sustainable infrastructure planning. He serves as Chair of the Board (ADEV Ökowärme AG) and Board Member (ADEV Cooperative) in energy management roles. Education: Master's in Economics/Business Administration (Basel/Sweden, 2011) Bachelor's in Building Technology (HLKS, 2018) Professional Experience: Risk Manager/Controller at Baloise and a Basel chemical company (2008–2016) Engineer/Project Manager at Triplex Energieplaner (2016–2021) Research focuses on district heating/cooling systems, energy transition interfaces, and multi-source heat pump integration. Active in projects like LANTERN (Living Labs for Energy Transition) and LPWAN-based district heating monitoring. Awards: SWKI Prize for thesis on bidirectional thermal networks He teaches modules including Heating and Cooling Technology, interdisciplinary workshops, and project-based learning at HSLU. Fluent in German/English; proficient in French/Spanish.

• Artificial Intelligence (AI) in Industry
• Machine Learning
• Natural Language Processing (LLMs)
• +4 more

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.

• Structural Engineering
• Structural Control
• Structural Health Monitoring
• +4 more

Roles & Affiliations: Ian F. C. Smith is a Honorary Professor at EPFL's ENAC School, affiliated with the EESD laboratory. He holds dual Swiss-Canadian citizenship and has been a leading figure in structural engineering and adaptive systems. Education: PhD in Engineering from the University of Cambridge (1982). Research Interests: Focuses on adaptive civil structures, biomimetic systems, structural health monitoring, and advanced computing applications in civil engineering. His work includes developing structures that adapt to loads through shape morphing, improving infrastructure resilience via data-driven methods, and enhancing safety through sensor networks and vibration analysis. Key Contributions: Over 150 publications on structural control, smart materials, and data interpretation. Notable works include frameworks for occupancy detection via floor vibrations, biomimetic adaptive control of tensegrity structures, and optimization of measurement systems for bridge testing. Advising & Labs: Supervised numerous PhD students (e.g., S. Drira, N. Bertola). Leads the EESD lab, exploring earthquake engineering, structural dynamics, and adaptive systems. Collaborates on projects like the Singapore Cyber-Civil-Infrastructure initiative and the biomimetic deployable footbridge system.

• 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.

• Photonics
• Optics
• Plasmonics
• +5 more

David Moor is a Researcher at the Institute for Electromagnetic Fields at ETH Zürich, specializing in plasmonics, photonics, and high-speed communication systems. He holds an academic position within the Professorship for Photonics and Communication and focuses on developing innovative electro-optic devices and integrated systems. Research Interests : His work spans plasmonic modulators, terahertz technology, electro-optic materials, and energy-efficient optical networking. He explores hybrid organic-inorganic systems and co-integration with electronics to achieve terabaud data rates. Recent projects include FLEX-SCALE, a disruptive networking framework for 6G systems, emphasizing scalable and energy-efficient optical solutions. Publications : Moor’s research emphasizes ultra-wideband plasmonic modulators, electro-optic material characterization (e.g., barium titanate and lithium niobate), and silicon photonics integration. His work bridges fundamental material science with applied high-speed communication, addressing challenges in bandwidth, latency, and energy consumption. Affiliations : Based in Zurich, he collaborates with global teams on projects like FLEX-SCALE and contributes to conferences such as OFC and IEEE. His email is david.moor@ief.ee.ethz.ch .

Bálint KaszásView profile

Researcher

• Nonlinear Dynamics
• Fluid Mechanics
• Machine Learning
• +3 more

Dr. Bálint Kaszás is a Researcher affiliated with the Professorship for Nonlinear Dynamics at ETH Zürich. His work focuses on advanced dynamical systems theory, with particular expertise in nonlinear dynamics, fluid mechanics, and data-driven modeling. He develops reduced-order models for complex systems such as turbulent flows and magnetic plasma dynamics, leveraging spectral submanifolds and machine learning techniques. His research also addresses climate modeling challenges and experimental fluid dynamics. Key research themes include: Reduced-order modeling of high-dimensional systems Data-driven analysis of chaotic and laminar flow transitions Nonlinear dynamics in magnetohydrodynamics (MHD) Development of tools like DifFault for materials science simulations Recent work emphasizes variational methods for flow visualization and fractional calculus-based approaches to oscillatory systems. His contributions bridge theoretical frameworks with practical applications in engineering and physics.

• High-Performance Computing
• Performance Modeling
• Parallel Computing
• +3 more

Alexandru Calotoiu is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the Professorship for Scalable Parallel Computing. His work focuses on performance modeling, high-performance computing (HPC), serverless systems, and cloud computing. He leads research in empirical performance modeling for complex applications, optimization of parallel algorithms, and scalable cloud architectures. Key research areas include noise-resilient performance models, serverless computing frameworks, and compositional parallel programming. He has contributed to benchmarking tools like SeBS and developed techniques for loop scheduling, static analysis, and resource disaggregation in HPC environments. His publications from 2023–2025 emphasize serverless systems (e.g., FaaSKeeper, Cppless), performance embeddings for optimization, and specialized supercomputing for climate science. These studies address scalability, reproducibility, and cross-platform performance portability in data-centric workloads. No scientific awards are explicitly listed, but his work has been presented at leading conferences such as ISCA and IEEE/ACM events. He collaborates on projects like rFaaS (RDMA-enabled serverless platforms) and Process-as-a-Service frameworks. His research bridges theoretical models with practical implementations in distributed systems and cloud infrastructure.

Moritz GoldView profile

Researcher

• Sustainable Food Processing
• Biowaste Management
• Environmental Engineering
• +3 more

Dr. Moritz Gold is a researcher affiliated with the Professorship for Sustainable Food Processing at ETH Zurich's Department of Health Sciences and Technology. His work focuses on scalable approaches to recycle biowaste into marketable products, aiming to reduce environmental impact, offset waste management costs, and improve public health. He is currently a visiting researcher at the Singapore-ETH Center. His research integrates microbiology, environmental engineering, and agricultural science to optimize black soldier fly (BSF) larvae processing of organic wastes. Key areas include biowaste pretreatment, microbial community dynamics in rearing residues, and the nutritional value of BSF-derived products in animal feed. Collaborations include studies with institutions like Eawag and Huazhong Agricultural University, exploring topics such as faecal sludge utilization and heavy metal transfer in food chains. Gold's publications emphasize practical applications of insect-based biowaste recycling, including feed substitution for poultry and nutritional safety assessments. His work also addresses global sanitation challenges, such as dewatering faecal sludge for fuel production in Sub-Saharan Africa. Experimental methods in his lab include in vitro digestion modeling and electron beam sterilization techniques. Notable contributions include demonstrating the potential of BSF larvae to process aflatoxin-contaminated substrates and the impact of residue microbes on rearing performance. His interdisciplinary approach bridges laboratory research with industrial-scale applications, contributing to circular economy principles in food systems.

Alexander IlicView profile

Lecturer

• Artificial Intelligence
• Computer Vision
• Entrepreneurship
• +3 more

Roles & Affiliations: PD Dr. Alexander Ilic is a Lecturer at the Department of Computer Science and Executive Director of the ETH AI Center at ETH Zürich. He co-founded the ETH AI Center and previously led Magic Leap Switzerland, focusing on R&D in Computer Vision and Advanced Photonics. He holds a PhD from ETH Zurich and a habilitation from the University of St. Gallen. Education: PhD in Computer Science, ETH Zurich Habilitation in Entrepreneurship, University of St. Gallen MSc in Computer Science, TU Munich Research Interests: Alexander’s work spans Artificial Intelligence, Entrepreneurship, and Technology Investing. He pioneered AI-driven start-ups like Dacuda (acquired by Magic Leap) and developed cutting-edge sensors and imaging systems. His research emphasizes real-time systems, computer vision applications, and wearable technology. Notable Achievements: Co-founder of Dacuda and Magic Leap Switzerland 两次获得“Entrepreneur of the Year”（2011年和2012年） Swiss Economic Award Over 50+ patents in imaging, AR, and sensor technology Courses Taught: Data Science Lab Technology Investing Patenting Digital Innovations Technology and Entrepreneurship Labs & Leadership: Leads the ETH AI Center, driving AI innovation and interdisciplinary projects. His teams focus on applied AI in real-time systems and cross-reality devices.

• Cybersecurity
• Blockchain Technology
• Privacy-Preserving Systems
• +5 more

Dr. Kari Kostiainen is a Lecturer at the Department of Computer Science, ETH Zürich. His affiliation includes the Institute for Information Security (Institut f. Informationssicherheit) and he is associated with the Security of Wireless Networks course in the Autumn Semester 2025. His research focuses on cybersecurity, blockchain technology, privacy-preserving systems, and trusted execution environments. Kari's work addresses challenges in phishing detection, cryptocurrency regulation, and secure communication protocols. Key research interests include: Phishing prevention and organizational cybersecurity Blockchain scalability and privacy in digital currencies Trusted execution environments (TEEs) and enclave security Privacy-preserving technologies for decentralized systems Secure access control mechanisms and user-friendly security setups His recent publications emphasize advancements in CBDC design, censorship-resistant payment systems, and lightweight blockchain client privacy. Notable contributions include Platypus (privacy-preserving CBDC framework) and Tee-based mining pool optimizations. Dr. Kari Kostiainen can be contacted at kari.kostiainen@inf.ethz.ch . His office is located at CNB F 103.2, ETH Zürich.