Active facets:

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 736-750 of 1,021 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Monaldo MastrolilliView profile

Professor

University of Italian SwitzerlandSwitzerland

Monaldo Mastrolilli is a Professor at the University of Applied Sciences of Southern Switzerland and holds a permanent position as Senior Researcher at IDSIA (Dalle Molle Institute for Artificial Intelligence), a joint institute of USI and SUPSI. He earned his PhD summa cum laude from the University of Kiel and a Computer Science Engineering degree from Politecnico di Milano. His research focuses on combinatorial optimization, complexity theory, approximation algorithms, and scheduling problems. He has authored over 30 publications in top journals/conferences such as FOCS, SODA, and Journal of Algorithms. Research interests include approximation algorithms, metaheuristics, scheduling theory, and computational complexity. His work bridges theoretical foundations with practical applications in operations research and artificial intelligence. Notable contributions include advancements in Sum-of-Squares proofs, scheduling algorithms, and combinatorial optimization techniques. He has supervised four PhD students and serves on program committees for ICALP, APPROX, and WAOA. Awards include the Whizzkids'97 competition prize and a prestigious PhD distinction. Education: PhD (summa cum laude) in Computer Science, University of Kiel (2002); Master's in Computer Science Engineering, Politecnico di Milano (1997) Key Research Areas: Complexity Theory, Approximation Algorithms, Scheduling, Metaheuristics

Official University Profile

Matilde IorizzoView profile

Lecturer

University of Italian SwitzerlandSwitzerland

Matilde Iorizzo is a Lecturer at the Faculty of Biomedical Sciences, Università della Svizzera italiana (USI). Her research focuses on dermatological conditions, particularly nail disorders, psoriasis, alopecia, and autoimmune skin diseases. She contributes to clinical guidelines through collaborations like the EADV Task Force on Hair Diseases and Dermatology for Cancer Patients. Her work emphasizes innovative diagnostics (e.g., AI-driven nail psoriasis assessment) and therapeutic interventions (e.g., JAK inhibitors, PRP therapy). Recent studies explore drug-induced autoimmune bullous diseases and telemedicine applications in dermatology. Education details are not provided in the source text, but her professional activities suggest advanced training in dermatology. Research interests include nail surgery outcomes, trichoscopy, and the intersection of dermatology with oncology. She collaborates internationally, contributing to consensus projects like the CONSONANCE Consensus on onychomycosis management and the International Dermoscopy Society’s trichoscopy task force. Key Projects: Delphi consensus on lichen planopilaris, systematic reviews on nail JAK inhibitors, multicenter studies on trichoteiromania. Technical Expertise: Dermoscopy, confocal microscopy, clinical trial design. Clinical Focus: Nail psoriasis, inflammatory nail dystrophies, chemotherapy-induced alopecia. Her publications span 2016–2025, demonstrating sustained contributions to both basic and applied dermatological research.

Official University Profile

Luca Maria GambardellaView profile

Professor

University of Italian SwitzerlandSwitzerland

Luca Maria Gambardella is a Full Professor at the Faculty of Informatics of Università della Svizzera italiana (USI) and serves as the Vice Rector for Innovation and Corporate Relations at USI. He is also the co-director of the Artificial Intelligence Master program and affiliated with IDSIA (Istituto Dalle Molle di studi sull'intelligenza artificiale USI-SUPSI). Additionally, he is the Co-Founder, CTO & Head of Applied AI at Artificialy SA, a Lugano-based company. His educational background includes a PhD in Engineering Sciences and Technology from ULB, École Polytechnique de Bruxelles, and a Master in Computer Science from the University of Pisa, Italy. Gambardella's research spans several cutting-edge areas in artificial intelligence and robotics. His work focuses on meta-heuristics algorithms , particularly Ant Colony Optimization, as well as machine learning and swarm intelligence . In operational research, he specializes in scheduling , vehicle routing and robust optimization . His robotics research emphasizes swarm robotics , mobile robots , and drones , with particular interest in human-robot interaction and visual anomaly detection. His recent publications (2023-2025) demonstrate a strong focus on optimization problems (particularly Traveling Salesman and Steiner Tree problems), robotics (swarm robotics, navigation, and human-robot interaction), and educational applications of computational thinking. A significant portion of his recent work combines traditional optimization techniques with modern machine learning approaches, reflecting the interdisciplinary nature of his research. Ranked by Stanford University in the top 2% of scientists worldwide (2021-2023) Special Swiss ICT Award 2016 (with Juergen Schmidhuber) "Watt d'Or", Swiss award for best energy projects 2015 Gambardella has supervised 14 PhD theses (with four in progress) and has secured over 61 million CHF in research funding, including 26 Swiss National Science Foundation projects (20 as principal investigator), 7 European Projects, and numerous industrial collaborations. He leads the Swarm Robotics Lab at IDSIA and has been instrumental in establishing several research units and master's programs in intelligent systems. His artistic endeavors include "the sense gallery" immersive space at FoxTown in Mendrisio, the interactive urban installation "Neuralrope#1" in Lugano-Besso pedestrian tunnel, and several published novels including "Sei Vite" (2013), "Il suono dell'alba" (2019), and "Segni particolari: tatuaggio con una stella a 5 punte sul polso sinistro" (2024).

Official University Profile

Michel DeriazView profile

Senior Lecturer

University of GenevaSwitzerland

Michel Deriaz is a Senior Lecturer at the University of Geneva's Research Institute for Statistics and Information Science. He holds a Ph.D. from the same institution. His research focuses on machine learning applications in healthcare technology, sensor systems, and recommendation systems, with a strong emphasis on interdisciplinary projects involving wearable devices, data analysis, and human-centric technologies. Key research interests include: Machine learning for gait analysis and early disease detection Indoor/outdoor localization using IMU and GPS fusion AI-driven recommendation systems for seniors and startups Health monitoring through biometric sensors (e.g., grip strength analysis) Optimization of mobile positioning systems His recent work demonstrates expertise in: Convolutional neural networks for equine lameness detection Transformer-based models for localization during GPS outages Predictive analytics for foreign exchange markets Validation of medical devices for clinical assessment No scientific awards or current grants are listed, though his extensive publication record indicates active collaboration with healthcare providers and tech innovators. His work often bridges theoretical computer science with practical applications in geriatric care, veterinary science, and disaster management systems.

Official University Profile

Heidi GebauerView profile

Researcher

Zurich University of Applied Sciences (ZHAW)Switzerland

Dr. Heidi Gebauer is a researcher at the ZHAW School of Engineering, specializing in Scientific Computing & Algorithmics. She is based at the Winterthur campus and actively contributes to theoretical computer science and discrete mathematics research. Her research interests span Theoretical Computer Science , Combinatorics , Random Graphs , Algorithm Design , Advice Complexity , and Graph Theory . Her work combines mathematical rigor with computational applications, particularly in algorithmic game theory and combinatorial structures. The recent publications reflect a strong focus on theoretical analysis of algorithms and combinatorial models, with applications in computational complexity and discrete optimization. Her work often appears in high-quality peer-reviewed venues in combinatorics and computing. Dr. Gebauer has contributed to completed research projects including the development of an intelligent scheduling system for a 14-axis laser welding machine and a new end-point controller. These projects suggest applied algorithmic work alongside theoretical contributions. No scientific awards listed in the provided text. She has collaborated with researchers such as Dennis Clemens, Anita Liebenau, Dennis Komm, and others. There is no mention of student supervision or grant leadership in the available information. Dr. Gebauer is part of the research team in the Research Focus Scientific Computing & Algorithmics at ZHAW, which likely involves collaboration on algorithm development, mathematical modeling, and computational problem-solving.

Official University Profile

Gianira AlfaranoView profile

Assistant Professor

University of ZurichSwitzerland

Gianira Alfarano is an Assistant Professor (tenure-track) at the University of Rennes 1, affiliated with the Géométrie et Algèbre Effectives team. She holds a Ph.D. in Mathematics from the University of Zurich (2022) and has held postdoctoral positions at TU Eindhoven and University College Dublin. Her research focuses on Algebraic Coding Theory, Finite Fields, Combinatorics, and Finite Geometry. Alfarano has organized sessions at international conferences and won awards such as the ACA-ERA 2022 and a Best Presentation Award. She teaches courses in algorithms, coding theory, and cryptography at Rennes University. Her academic journey includes teaching assistant roles at Zurich and postdoctoral research in network coding and information theory. Alfarano’s work bridges algebraic structures with practical coding solutions, addressing challenges in data storage, security, and error correction. Recent research emphasizes rank-metric codes, q-matroids, and service rate regions in distributed systems. Education: Ph.D. in Mathematics, University of Zurich, 2022 Postdoc: TU Eindhoven (2022–2023), UCD (2023–2024) Awards: Applications of Computer Algebra Early Research Award (ACA-ERA) 2022 Best Presentation Award at Contemporary Algebraic and Geometric Techniques in Coding Theory and Cryptography Alfarano’s publications span journals like SIAM Journal on Applied Algebra and Geometry and conferences such as ISIT. Her invited talks include sessions on minimal codes, service rate regions, and q-analogues in combinatorics. She actively contributes to the academic community through organizing workshops and editorial roles in coding theory.

Official University Profile

Roman SchmiedView profile

Researcher

University of BaselSwitzerland

Roman Schmied is a Researcher in the Department of Physics at the University of Basel, affiliated with both the Quantum Optics Lab (Treutlein group) since 2010 and the Human Optics Lab since 2016. His work bridges quantum physics and applied optics, focusing on entanglement in atomic ensembles, quantum metrology, and myopia research. He earned his Ph.D. from Princeton University (2006) and conducted postdoctoral research at the Max Planck Institute of Quantum Optics (2006–2010). Roles: Senior Scientist at University of Basel (2010–present) Former Substitute Professor at University of Freiburg (2017) Research interests span quantum simulations with trapped ions, Bell correlations in Bose-Einstein condensates, and optical systems for myopia studies. He has pioneered Mathematica tools like SurfacePattern for trap design and contributed to quantum entanglement detection protocols. A skilled educator, he won the Golden Chalk Award for teaching excellence multiple times. Notable achievements include the Paul Ehrenfest Award (2017) for Bell Correlations in a Bose-Einstein Condensate , and ERC-supported collaborations on hybrid atom-optomechanical systems. His work integrates experimental and theoretical approaches, addressing fundamental quantum phenomena and their technological applications.

Official University Profile

Fabian SchärView profile

Professor

University of BaselSwitzerland

Prof. Dr. Fabian Schär is a Professor of Distributed Ledger Technology and Fintech at the University of Basel's Faculty of Business and Economics. He serves as Managing Director of the Center for Innovative Finance (CIF), a board member of the Responsible Digital Society, and an Affiliate Professor at the Swiss Finance Institute. His research focuses on blockchain technology, decentralized finance (DeFi), financial privacy, and cryptoassets. Schär co-authored the MIT Press bestseller *Bitcoin, Blockchain, and Cryptoassets* and advises institutions like the Bank for International Settlements (BIS) and the IMF. His work bridges economics and computer science, addressing topics such as blockchain governance, metaverse economics, and regulatory frameworks. **Education**: No explicit details provided in texts, though his academic role implies doctoral qualifications. **Research Interests**: Public blockchains, DeFi protocols, cryptoasset markets, metaverse spatial economics, and regulatory compliance for decentralized systems. His interdisciplinary approach explores technical and socio-economic dimensions of blockchain applications. **Articles Trends**: Recent works analyze metaverse governance, DeFi risk transfer, blockchain privacy, and contagion effects in crypto markets. Early contributions include foundational analyses of Bitcoin mining and stablecoin design. **Awards**: Recognized in the NZZ ranking of Switzerland's most influential economists (2023). His book is a key reference in the field. **Advising & Grants**: Technical advisor to BIS’s CPMI, visiting scholar at IMF, and contributor to OECD/IOSCO working groups. No explicit grants listed, but his involvement in policy discussions implies institutional support. **Labs/Teams**: Leads the CIF, a hub for innovative finance research, and collaborates with decentralized autonomous organizations (DAOs) and central bank initiatives.

Official University Profile

Tobias KaufmannView profile

Lecturer

University of Applied Sciences and Arts Northwestern SwitzerlandSwitzerland

Dr. Tobias Kaufmann is the Acting Head of the FHNW Institute of Mathematics and Natural Sciences and a Lecturer in Mathematics at FHNW's School of Engineering and Environment. He teaches in bachelor's programs including Mechanical Engineering, Electrical and Information Technology, Computer Sciences, and Energy and Environmental Technology. His research focuses on multi-physics system modeling, machine learning, high-performance computing, ultrasonics, radar, and vacuum measurement technologies. He holds a PhD in theoretical physics from the University of Zurich and completed postdoctoral research at ETH Zurich and the University of California, Irvine. Education Background: Tobias Kaufmann earned a Diploma in Theoretical Physics and a Teaching Diploma from the University of Zurich. He also holds a CAS in Higher Education from the University of Applied Sciences of Eastern Switzerland. His professional career spans roles as a Professor at the University of Applied Sciences of Eastern Switzerland, a Data Scientist at Geopraevent, a Scientist at ABB Corporate Research, and a Principal Investigator at ETH Zurich's Department of Physics. Research Interests: His work bridges computational physics and engineering applications, emphasizing: Multi-physics system modeling and simulation Machine learning for data analysis and predictive systems High-performance computing for large-scale simulations Ultrasonic and radar sensing technologies Continuum mechanics and electrodynamics Notable Projects: As project leader, he has managed initiatives like the Innosuisse-funded 'Optimized Side Seamer for Fleximed tube bodies' with Neopac AG and SF-funded projects on particle-based CFD simulations, smart power tools, food industry classifiers, and cable car dynamics simulators. Collaborations include Hilti AG, Winterhalter AG, and Bartholet AG. Technical Contributions: His inventions include non-intrusive liquid level measurement systems (patented with ABB) and acoustic signal propagation methods. He has also contributed to Google's AI research, including text prediction and communication template systems.

Official University Profile

Benedikt HelgasonView profile

Senior Lecturer

ETH ZurichSwitzerland

PD Dr. Benedikt Helgason is a Senior Lecturer at the Department of Health Sciences and Technology, ETH Zürich. He works at the Institute for Biomechanics (Laboratory for Orthopaedic Technology), focusing on computational modeling of bone mechanics and medical device innovation. His research spans: Finite element analysis of bone-implant interactions Fracture risk prediction algorithms Computational modeling Medical device design and testing Machine learning applications in biomechanics Recent work demonstrates expertise in generating super-resolution 3D models from clinical CT scans, optimizing spinal fusion cages through topology design, and developing frameworks for early health technology assessments. He investigates prophylactic intramedullary nailing for hip fracture prevention and evaluates neural network models for screw stability prediction. Key collaborations include the AGES-Reykjavik study cohort for aging research and experimental validation of finite element models using high-speed x-ray techniques. His team develops validated, non-linear explicit FE models for screw-bone interactions and explores bioresorbable magnesium-fiber reinforced bone cements. Contact: bhelgason@ethz.ch

Official University Profile

Martin VechevView profile

Professor

ETH ZurichSwitzerland

Martin Vechev is a Full Professor of Computer Science at ETH Zurich, leading the Secure, Reliable, and Intelligent Systems Lab. He is also the Founder and Architect of INSAIT, a pioneering research center in computer science and AI in Eastern Europe. Previously, he worked at IBM T.J. Watson Research Center and earned his PhD from the University of Cambridge and B.Sc. from Simon Fraser University. His research focuses on AI and programming languages, with contributions to quantum programming (e.g., Silq), AI-driven code analysis (DeepCode), and security for decentralized systems (ChainSecurity). He has co-founded three deep-tech startups and received numerous awards, including the ACM SIGPLAN Robin Milner Award. His work spans theoretical foundations and practical systems, emphasizing formal methods and security guarantees. Education: PhD in Computer Science, University of Cambridge (2003-2008) B.Sc. in Computer Science, Simon Fraser University (1996-2001) Research Interests: His work bridges AI and programming languages, addressing challenges in secure AI, quantum computing, and automated reasoning. Key areas include: AI for code analysis and security Formal verification of decentralized systems Quantum programming languages Data privacy and adversarial machine learning Key Contributions: His group built widely used systems like Silq (first high-level quantum language) and developed AI-driven tools for detecting security vulnerabilities (DeepCode). His research on watermarking and federated learning privacy has been influential in both academia and industry. Awards: ACM SIGPLAN Robin Milner Young Researcher Award ERC Starting and Consolidator Grants Google/Facebook Faculty Awards IBM Research Excellence Awards Advising & Grants: He leads the SRI Lab at ETH, supervises PhD students in AI and programming languages, and manages grants from ERC, industry partners, and Swiss national initiatives. His startups (DeepCode, ChainSecurity, LatticeFlow) address real-world challenges in AI security, blockchain, and robust machine learning. Labs & Teams: The Secure, Reliable, and Intelligent Systems (SRI) Lab at ETH Zurich focuses on safe AI, programming languages, and security. Collaborations include INSAIT, a joint venture with ETH and EPFL.

Official University Profile

Sandro PedrazziniView profile

Adjunct Professor

University of Applied Sciences and Arts of Southern SwitzerlandSwitzerland

Sandro Pedrazzini is an Adjunct Professor in Software Engineering and the Head of the Bachelor's Program in Computer Engineering at the Department of Innovative Technologies (DTI) of SUPSI. He holds an M.Sc. in Computer Science from ETH Zurich and a Ph.D. in Natural Sciences from the University of Basel. His research focuses on Software Engineering methodologies, Programming Languages, Natural Language Processing, and Information Retrieval. He has extensive experience in both academia and industry, co-founding companies like Canoo AG and Karakun AG. His teaching responsibilities include courses on computer graphics, programming paradigms, and software engineering practices. Research Interests: Software Engineering: Agile methodologies, continuous integration, and project-based learning Natural Language Processing: Term extraction, morphological analysis, and e-learning tools Web Technologies: 3D interfaces, enterprise systems, and middleware architectures Publications reflect a blend of theoretical and applied research, with contributions to enterprise search systems, semantic analysis, and educational technologies. His work emphasizes practical applications of academic research in real-world contexts. Professional Experience: Co-founder of Canoo AG (2000) and Karakun AG (2018) Head of Computer Science Bachelor Program since 2012 Supervisor for multiple academic projects and courses Labs/Teams: Active in SUPSI’s DTI department, leading projects like 3D MMA (3D interface design) and TicinoTurismo II (web-based tourism platform).

Official University Profile

Giovanni CirielloView profile

Associate Professor

University of LausanneSwitzerland

Giovanni Ciriello is an Associate Professor in the Department of Computational Biology at the University of Lausanne (UNIL), Faculty of Biology and Medicine. He leads the Computational Systems Oncology Lab and is affiliated with the Swiss Cancer Center Léman, the Swiss Institute of Bioinformatics, and the Institute for Experimental Cancer Research (ISREC) at EPFL. Appointed as assistant professor in 2015 and promoted to associate professor in 2019, he conducts interdisciplinary research at the intersection of algorithm design, data science, and molecular oncology. Education: M.Sc. in Computational Science and Engineering, University of Padua (2005) Ph.D. in Bioinformatics, University of Padua and Georgia Institute of Technology (2009) His research centers on understanding how genetic and epigenetic alterations cooperate during cancer development and progression. He develops computational frameworks to analyze large-scale oncogenomic datasets, focusing on tumor evolution, mutual exclusivity of mutations, and the identification of tissue-independent tumor subtypes for precision therapy. His lab investigates cancer cell plasticity, chromatin 3D architecture, and transcriptional reprogramming using single-cell and spatial multi-omics technologies. The analysis of his recent publications reveals a strong trend toward integrative computational oncology, combining algorithm development with high-throughput biological data to uncover evolutionary dependencies in cancer, predict therapeutic response, and model cellular identity transitions. His work leverages pan-cancer datasets like The Cancer Genome Atlas (TCGA) and emphasizes translational impact through collaboration with experimental and clinical teams. Nature Genetics (2013, 2019, 2020) Cell (2015, 2018) Cancer Cell (2017) Giovanni Ciriello has supervised Master’s and doctoral students at UNIL and EPFL and teaches computational science to undergraduate and graduate students in biology and molecular life sciences. His research is funded by the Swiss National Science Foundation (SNSF), the Swiss Cancer League, and private foundations. He actively recruits Ph.D. students and postdoctoral researchers for projects involving spatial transcriptomics, single-cell analysis, and algorithm development. The Ciriello Lab focuses on three main research axes: (1) Cancer Evolutionary Dependencies — studying co-occurring and mutually exclusive genetic alterations to understand selection pressures in tumors; (2) Cancer Cell Plasticity — investigating epigenetic and transcriptional reprogramming that allows cancer cells to change identity; and (3) Chromatin 3D Architecture — exploring how structural changes in chromatin influence gene regulation and tumor phenotypes using cutting-edge spatial and single-cell omics.

Official University Profile

Didier HansView profile

Associate Professor

University of LausanneSwitzerland

Didier Hans is Associate Professor in Research and Development in the field of bone diseases at the Faculty of Biology and Medicine of the University of Lausanne (UNIL) and Head of the CHUV Bone Disease Center, appointed on December 1, 2012. He holds an 80% activity rate, indicating a part-time academic role. His work bridges academic research, clinical innovation, and industrial development in medical imaging for bone disorders. PhD in Medical Physics, Claude Bernard University, Lyon (1993) Master of Science in Medical Engineering, Claude Bernard University, Lyon (1991) Executive Master of Business Administration, Haute École Commerciale de l'Université de Genève (2004) Didier Hans specializes in medical imaging applied to bone diseases, particularly osteoporosis and fracture risk assessment. His research focuses on two main axes: validating new imaging technologies and developing clinical algorithms to improve patient care. He is a world leader in clinical densitometry and bone microarchitecture analysis, with over 160 publications and leadership in international research collaborations. The recent articles reflect a strong trend in translational research, combining engineering, physics, and clinical medicine. Key areas include optimization of bone measurement technologies, integration of imaging into multidisciplinary platforms, and development of risk prediction models using large cohort data (OstéoLaus, Ostéomobile). His work spans technology validation, clinical implementation, and educational standardization through global societies. Scientific awards and leadership roles include: President of the International Society for Clinical Densitometry (ISCD) – first non-North American and non-physician in this role Initiator of collaboration between ISCD and International Osteoporosis Foundation for unified teaching Founder of Synarc, now the world’s largest centralized imaging analysis lab for clinical trials Founder of two companies: Med-imaps and Ascendys Privat-docent at the Faculty of Medicine, University of Geneva (later transferred to UNIL) Didier Hans has advised numerous scientific collaborations worldwide, with over 50 ongoing studies. His grants and research projects focus on optimizing bone and body composition measurements across macro and micro levels. He leads R&D at the CHUV Bone Disease Center and has played a key role in expanding clinical activity and patient care models since 2008. He leads the OstéoLaus and Ostéomobile research cohorts, involving over 3,000 women, which serve as critical platforms for longitudinal bone health research. His multidisciplinary team integrates expertise from radiology, nuclear medicine, engineering, and data science to advance diagnostics and personalized care in bone diseases.

Official University Profile

Andreas KlinkertView profile

Professor

Zurich University of Applied Sciences (ZHAW)Switzerland

Andreas Klinkert is a Professor at the Zurich University of Applied Sciences (ZHAW) , specifically affiliated with the School of Engineering and the Institute of Data Analysis and Process Design . His work focuses on operational research and optimization problems in complex industrial and logistical environments. Project Leader: Airport Ground Staff Scheduling (2023) Team Member: SARS-CoV-2 Intervention Modelling Extension Project Leader: Operational Staff Planning (2021) Project Leader: Automated Staff Scheduling (2020) Deputy Project Leader: Flight Network Simulation at Swiss International Air Lines His research integrates computational modeling with practical applications in staff rostering, production planning, and airport logistics. With a focus on combinatorial optimization and dynamic scheduling, he has developed algorithmic solutions for real-world problems across multiple industries. Klinkert has contributed to the field through publications on topics like job shop scheduling with blocking constraints, multi-skill staff rostering, and large-scale crew scheduling. His work often involves interdisciplinary collaborations and practical implementations of optimization algorithms in industrial settings.

Official University Profile