جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Scientific Machine Learning
• Inverse Problems
• +۷ مورد دیگر

Prof. Dr. Ivan Dokmanić is an Associate Professor for Data Analytics at the Department of Mathematics and Computer Science, University of Basel, where he leads the Research Group Signal and Data Analytics. His work bridges data science, signal processing, and physics to address challenges in computational imaging, acoustics, and audiovisual reasoning. His research focuses on developing principled machine learning and signal processing techniques grounded in physical models. Key interests include: Signal Processing (especially scientific and wave-based) Scientific Machine Learning (SciML) Inverse Problems and Imaging Computational Acoustics and Audio Seismic Signal Processing Dokmanić is the principal investigator of the ERC Starting Grant project SWING (Signals, Waves, and Learning), which aims to create a data-driven framework for wave-based inverse problems. This project underscores his leadership in integrating physical models with modern learning techniques. He has received significant recognition through competitive funding, most notably the ERC Starting Grant, highlighting the innovative and high-impact nature of his research. While no detailed list of publications is provided in the text, his work appears to trend toward interdisciplinary methodologies combining physics, signal processing, and machine learning for scientific discovery. Dokmanić is actively involved in research and academic leadership. He supervises a research group and contributes to the academic mission of the University of Basel. Although specific advisees are not listed, his group likely includes PhD and master’s students working on advanced topics in data analytics and signal processing. He has secured substantial grant funding, indicating active research projects and collaboration opportunities. He is affiliated with the Research Group Signal and Data Analytics, which serves as the hub for his interdisciplinary investigations into wave phenomena, inverse modeling, and data-driven scientific computing.

Pier Luigi Dragottiمشاهده پروفایل

استاد

• Signal Processing
• Wavelet Theory
• Sampling Theory
• +۷ مورد دیگر

Prof. Pier Luigi Dragotti is a Professor of Signal Processing in the Department of Electrical and Electronic Engineering at Imperial College London, Faculty of Engineering. He leads the Communications, Signal Processing, and Control (CSP) research group and is actively engaged in both theoretical and applied research in signal processing and computational imaging. His research focuses on wavelet theory, sampling theory, sparse signal processing, computational imaging, and data-driven image processing . He integrates classical signal processing frameworks with modern deep learning techniques, particularly in solving inverse problems and image restoration. His work bridges model-based algorithms with data-driven approaches, enabling breakthroughs in fields such as art conservation and neuroscience imaging. The recent publications highlight a strong trend towards invertible neural networks, physics-informed deep learning, and hybrid model-data methods for image restoration, microscopy, and cultural heritage analysis. His team develops algorithms that are not only accurate but also interpretable and grounded in physical models. Scientific Awards and Recognitions: Editor-in-Chief of IEEE Transactions on Signal Processing (2018–2020), Certificate of Merit Supervised students winning: Eurasip 3M Thesis Competition, IEEE MMSP Best Paper Award, Outstanding PhD Thesis Awards (2020–2022), Ivor Tupper Prize Student Adam won Gold at the Commonwealth Games Advising and Grants: Prof. Dragotti has successfully supervised numerous PhD and MSc students, many of whom have gone on to achieve significant recognition. His group has secured funding that supports interdisciplinary research in imaging science, and several of his former students have launched innovative projects, including a start-up company. He fosters a dynamic research environment with strong industry and cross-institutional collaborations. Labs and Research Groups: He is a key member of the CSP (Communications, Signal Processing, and Control) group at Imperial College London, where he leads a vibrant team working on cutting-edge signal processing challenges. The group is known for its contributions to sampling theory, wavelets, and the integration of deep learning in imaging systems.

Ekansh Sareenمشاهده پروفایل

پژوهشگر ارشد

• Medical Image Processing
• Biomedical Engineering
• Signal Processing
• +۷ مورد دیگر

Ekansh Sareen is a Doctoral Assistant at the Medical Image Processing Laboratory (MIPLAB) within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is concurrently enrolled in the Doctoral Program in Electrical Engineering (EDEE) under the Doctoral School (EDOC), reflecting his dual role as a researcher and PhD candidate. His work is based at Campus Biotech in Geneva, where MIPLAB conducts cutting-edge research in biomedical imaging and computational methods for healthcare applications. His research interests lie at the intersection of engineering and medicine, with a focus on medical image processing , signal processing , and machine learning . These areas are central to developing automated tools for disease detection, image segmentation, and diagnostic support systems. Given his affiliation with MIPLAB, his work likely involves deep learning models applied to MRI, CT, or ultrasound data, contributing to advancements in precision medicine and digital health. While no publications are listed in the provided text, the research output from MIPLAB typically spans computer vision, artificial intelligence in healthcare, and biomedical signal analysis. The lab’s work often emphasizes translational research, aiming to bridge the gap between algorithmic innovation and clinical utility. Future trends in his research may include explainable AI, federated learning for medical data, and integration with electronic health records. Scientific Awards: No awards mentioned. As a Doctoral Assistant, Ekansh is involved in research and potentially teaching or mentoring, though no advisees are listed. He does not appear to lead independent grants, but likely contributes to larger collaborative projects within EPFL or with clinical partners. MIPLAB is part of a broader ecosystem of health technology innovation at EPFL, collaborating with hospitals and industry partners to develop real-world medical solutions. The laboratory environment fosters interdisciplinary collaboration, combining expertise from electrical engineering, computer science, and clinical medicine. Ekansh’s position places him at the forefront of academic research in medical AI, with opportunities to publish in top-tier journals and present at international conferences. His career trajectory is aligned with academic or industrial research in biomedical engineering and AI-driven healthcare technologies.

• Computational Systems Biotechnology
• Systems Biology
• Bioinformatics
• +۳ مورد دیگر

Konrad Lagoda is a Doctoral Assistant at the Laboratory of Computational Systems Biotechnology (LCSB) within the Institute of Chemical Sciences and Engineering (ISIC), School of Basic Sciences (SB) at École polytechnique fédérale de Lausanne (EPFL). He is also a doctoral student in the Chemistry and Chemical Engineering program under the EDOC doctoral school. His research is situated in the domain of computational systems biotechnology, leveraging advanced computational methods to model and analyze complex biological systems. The LCSB focuses on integrating high-throughput biological data with genome-scale metabolic models, network analysis, and machine learning techniques to understand disease mechanisms and microbial metabolism. Konrad Lagoda is part of a multidisciplinary research environment that emphasizes data-driven approaches in systems biology. The laboratory fosters collaboration across bioinformatics, biotechnology, and biomedical research, contributing to innovations in personalized medicine and synthetic biology. No scientific awards or publications were listed in the provided information. As a Doctoral Assistant, Konrad contributes to research projects while pursuing his PhD. There is no indication of formal advising roles or grant leadership at this stage. He is based at the EPFL campus in Lausanne, Switzerland, with office location CH H4 605 and laboratory space in CH H4 615. The Laboratory of Computational Systems Biotechnology (LCSB) is a leading research group at EPFL dedicated to advancing systems-level understanding of biological processes through computational modeling and big data analytics. The lab hosts researchers from diverse backgrounds including computer science, biology, chemistry, and engineering, promoting an interdisciplinary approach to solving complex biomedical challenges.

Christoph Baderمشاهده پروفایل

پژوهشگر

• Sustainable Economies
• Poverty and Inequality
• Sustainable Consumption Patterns
• +۳ مورد دیگر

Christoph Bader is a researcher at the University of Bern's Centre for Development and Environment (CDE) , where he leads the Transformative Education and Science Impact Area and serves as Director of Studies. His work focuses on sustainable economies, poverty/inequality analysis, and fostering sustainable consumption patterns. He is also involved in teaching within CDE's academic programs. Key Research Areas: Sustainable consumption, multidimensional poverty, post-growth economics, part-time work impacts, social innovation Projects: 'Time is wealth' examining part-time work and sustainability, 'From niche to society' analyzing social innovation diffusion, and multidimensional poverty studies in Laos Publications: Recent works explore sustainability skills in higher education, civil society initiatives for ecological transition, and worktime reduction policies in the Global North Networks: Affiliated with Rethinking Economics, WWF Netzwerk Nachhaltige Wirtschaftswissenschaften, World Economics Association, and Netzwerk Nachhaltige Ökonomie Contact: christoph.bader@unibe.ch | Office 262, Mittelstrasse 43, Bern

Albrecht Ehrenspergerمشاهده پروفایل

پژوهشگر

• Agroecology
• Agrobiodiversity
• Invasive Species Management
• +۵ مورد دیگر

Dr. Albrecht Ehrensperger is a Senior Research Scientist at the Centre for Development and Environment (CDE) of the University of Bern. His work focuses on agroecology, invasive species management, and spatial analysis in global regions including Southeast Asia, Central Asia, Eastern Africa, Horn of Africa, and Western Africa. He specializes in stakeholder engagement and sustainable land use systems. Research Areas: Agroecology, Agrobiodiversity, Invasive Species Management, GIS, Participatory Mapping Projects: Woody Weeds, ASSET, Pha Khao Lao, Agriculture for Nutrition (AFN II) Languages: French, German, English, Kiswahili, Lao Recent Publications highlight invasive species dynamics in Eastern Africa, agroecological transitions in the Mekong region, and stakeholder-driven land use governance. His work often integrates GIS tools, climate resilience frameworks, and participatory planning methodologies. Network Affiliations include Agroecology Works! and the Agroecology Learning Alliance in Southeast Asia (ALiSEA) .

Tobias Halbherrمشاهده پروفایل

پژوهشگر

• Educational Technology
• Cognitive Sciences
• Higher Education
• +۶ مورد دیگر

Tobias Halbherr is a Researcher at ETH Zurich, working in the Digital Education Services group within the university's IT Services. He has been active in the field of learning technologies and teaching innovation since 2012. Doctoral degree (2020) from the Chair of Learning Sciences and Higher Education at ETH Zurich (completed part-time) Undergraduate: Computer Science at ETH Zurich Postgraduate: Psychology (with a minor in Computer Science) at the University of Zurich 2024: Advanced training in General Management (CAS) from Rochester-Bern Executive Programs Halbherr's research focuses on educational technology, particularly adaptive computer-based learning and assessment systems. His work bridges cognitive sciences and computer science, with applications in aviation security and higher education innovation. His prior activities included research in adaptive learning environments, software development for the Engineering Treasury of Zürcher Kantonalbank, and freelance event management and live video art projects. Halbherr also leads the SWITCH eduhub community's Special Interest Group (SIG) E-Assessment.

• Chemical and Bioprocess Engineering
• Process Monitoring and Control
• Process Analytical Technology (PAT)
• +۵ مورد دیگر

Michal Dabros is an Associate Professor at the ChemTech - Institute of Chemical Technologies within HES-SO (University of Applied Sciences and Arts Western Switzerland) . His work spans chemical and bioprocess engineering, focusing on thermal safety, process analytical technology (PAT), and sustainable chemistry solutions. Education : MSc HES-SO in Life Sciences, BA HES-SO in Architecture Research Interests : Process monitoring, bioplastic development, nanoparticle synthesis, and reactor design for industrial applications. Recent Research Trends include continuous flow reactors for heterogeneous reactions, waste valorization via bio-cementation, and automation in bioprocesses. His publications emphasize sustainability, safety, and digital advancements in chemical engineering. Project Leadership involves international collaborations such as bio-cementation for construction materials and automated hydroponic systems in Haiti. He also contributed to remote laboratory platforms and thermal safety modeling.

• French as a Second Language Teaching
• Multilingualism
• Intercultural Education
• +۴ مورد دیگر

Marie-Hélène Tramèr-Rudolphe serves as Senior Lecturer in French Language Teaching at SUPSI's Department of Education and Learning (DFA/ASP), where she directs the Area of Foreign and Second Languages Teaching within the ALPI division. Affiliated with the Ticino Department of Education (DECS) French Coordination Group since 2005, she shapes language proficiency standards for elementary schools across the canton. Her academic foundation includes: Diploma de Estudios Hispanicos, Complutense University of Madrid (1981-1982) Licentiate in French/Italian Literature & Linguistics, University of Zurich (1991) Teaching Qualification for French as Second Language, DFA SUPSI (2001) Tramèr-Rudolphe pioneers culturally immersive language pedagogy through culinary and musical frameworks. Her research demonstrates how gastronomic projects ('Un voyage culinaire') and song-based instruction ('La chanson') transform abstract cultural concepts into tangible learning experiences. This approach specifically addresses challenges in teaching French within Ticino's multilingual environment, developing transversal competencies through interdisciplinary scenarios that connect language acquisition with regional identity. Analysis of her 2010-2016 publications reveals consistent methodology: project-based frameworks targeting primary/secondary levels, with increasing sophistication in culinary pedagogy (2014-2016) and musical integration (2013). All works emphasize practical classroom implementation within Swiss educational contexts, particularly addressing Ticino's unique linguistic landscape. Her research funding demonstrates strong institutional support: Competitive Projects: 'Composizioni MUSicali' (Uri/Grigioni primary schools), 'Mehrsprachigen' curriculum development (COHEP/CDPE) Mandate Funding: 'Des Mets et des Mots' (DECS cultural competency initiative) Ongoing Coordination: French proficiency testing framework for Ticino elementary schools At DFA/ASP, she teaches core methodology courses across Bachelor's/Master's programs while mentoring future language educators through practical project design. Her DECS coordination role directly impacts regional language education standards, creating a continuous feedback loop between research, policy, and classroom practice.

• Medical Sociology
• Genetic Risk Management
• Qualitative Health Research
• +۳ مورد دیگر

Maria Caiata Zufferey serves as Full Professor of Sociology of Health and Social Issues at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), where she leads the Competence Centre for Healthcare Practices and Policies (CPPS) within the Department of Business Economics, Health and Social Care. Holding a PhD in Social Sciences from the University of Fribourg, she maintains active research collaborations with USI (University of Lugano) and international institutions including Imperial College London and CNRS Paris. Her research focuses on identity construction and agency in contexts of uncertainty, examined through qualitative studies spanning genetic cancer risk management , addiction recovery , chronic illness self-management , and pandemic decision-making . Notable projects include COTIVAX (COVID-19 vaccination decisions among healthcare workers), SCOUT (social dynamics in uncertainty), and Re-Work (breast cancer survivors' return to employment). Her methodological expertise in grounded theory and narrative analysis informs both her research and teaching of qualitative methods across academic levels. Analysis of her recent publications reveals consistent focus on healthcare communication (particularly genetic risk disclosure), decision-making under uncertainty , and cross-cultural comparisons (notably Swiss-Korean studies). Her work demonstrates increasing integration of digital health tools and mixed-method approaches, with growing emphasis on pandemic-related social dynamics since 2020. Prix Vigener 2004 for best doctoral thesis in Humanities at University of Fribourg Best poster award 2010 at Swiss Association for the Study of Pain conference Her leadership extends to directing major research initiatives funded through Swiss National Science Foundation and SUPSI internal grants, with recent projects examining vaccine hesitancy among healthcare workers, genetic testing communication, and occupational reintegration of cancer survivors. She maintains active supervision of junior researchers while collaborating with healthcare institutions across Ticino canton. Zufferey's work operates at the intersection of sociology, healthcare policy, and clinical practice through her CPPS center, which serves as a bridge between academic research and real-world healthcare challenges in southern Switzerland. Her current projects increasingly incorporate interdisciplinary approaches, combining sociological analysis with health informatics and policy evaluation.

Daina Matise Schubigerمشاهده پروفایل

مدرس

• Consumer Behavior
• Sustainable Marketing
• Entomophagy Adoption
• +۷ مورد دیگر

Daina Matise Schubiger serves as a Lecturer and Researcher at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) within the Department of Business Economics, Health and Social Care (DEASS). Holding dual responsibilities as both a faculty member and Co-Program Director for the Bachelor's program in Leisure Management, she maintains active roles in teaching, research supervision, and curriculum development. Her academic appointments include positions in the Basic Training Division (FBDEASS) with current affiliation status as of July 2022. Her educational background features a Bachelor of Science and Master of Science in Communication and Economics (majoring in Marketing) with summa cum laude honors from the University of Italian Switzerland (USI). Additional qualifications include a Certificate of Advanced Studies in Teaching from SUPSI and specialized training in Service Automation from the London School of Economics. Research interests focus on cutting-edge consumer behavior topics with particular emphasis on entomophagy adoption among Generation Z , sustainable marketing practices, and the application of extended realities in consumption contexts. Her work bridges theoretical marketing frameworks with practical industry applications, especially in leisure management and healthcare marketing sectors. Current projects investigate Western consumer resistance to insect-based foods and the role of virtual reality in overcoming dietary barriers. Publication trends reveal concentrated expertise in sustainable consumption patterns, with 9 peer-reviewed outputs between 2017-2024. Her research methodology combines mixed approaches including stakeholder interviews with quantitative analysis of generational consumer data. Key thematic clusters emerge around novel food acceptance, digital marketing innovation, and post-pandemic leisure sector transformation. Teaching responsibilities encompass comprehensive course leadership across the Leisure Management curriculum, including Innovation Marketing, Integrated Digital & Sustainable Marketing, and Thesis supervision. She also manages the MOOC on Integrated Digital Marketing and Project II research initiatives. Operational projects demonstrate strong industry engagement through collaborations with organizations like Hockey Club Lugano and RUAG Aviation. Current initiatives include the Food Design Thinking and VR in Entomophagy project and the Campus Bleniese feasibility study, reflecting her commitment to translating academic research into practical business solutions.

• Open innovation
• Strategic diagnosis
• Strategic monitoring
• +۸ مورد دیگر

Vincent Grèzes is an Associate Professor of innovation management, strategic management, and international management at the HES-SO Valais-Wallis School of Management in Sierre, Switzerland. He also serves as the responsible for the Monitoring and Trends module of the HES-SO Innokick Master's program in Lausanne. His academic work bridges theoretical knowledge with practical business applications, particularly in innovation and strategic management for tourism and regional development contexts. Grèzes holds a doctorate in economic and strategic intelligence from the Faculty of Law and Political Science at the University of Lyon 3. His educational journey combines theoretical foundations with substantial professional experience in business intelligence and market research before transitioning to academia. His research interests focus on open and collaborative innovation based on ecosystem analysis, strategic monitoring for decision-makers, creation of shared values by companies, and business model innovation. He has developed specialized methodologies for strategic diagnosis, trend monitoring, and collaborative innovation that help organizations navigate complex business environments. His recent work increasingly explores circular economy applications in tourism, examining how destinations can optimize resource use while maintaining economic viability and addressing sustainability challenges. Analysis of his recent publications reveals a strong trend toward applying innovative methodologies to sustainability challenges in tourism. Grèzes has been developing frameworks for sustainable culinary systems, investigating how AI can accelerate innovation processes, and exploring circular value networks in tourism ecosystems. His work consistently emphasizes practical applications of theoretical concepts through collaborative approaches that bring together multiple stakeholders to address complex challenges in tourism destinations. Grèzes has successfully secured funding for multiple research projects including the Regional Development Axis 2020 (CHF 180,000), the InnoHub project (CHF 88,944), and the Strategic monitoring of private accommodation's sector for HOTREC (CHF 7,800). These projects demonstrate his ability to collaborate with both academic and industry partners to address practical business challenges in tourism and regional development contexts. He is actively involved in developing innovative educational approaches including the 'Trends Flower' for trend analysis and 'Entre-Mets' events that combine networking with design thinking experiences. His teaching portfolio includes Business Economics courses with specific expertise in Innovation Management in Tourism, Strategic Management, and International Management and Strategy. His work with the Business eXperience program demonstrates how academic entrepreneurship can produce positive impacts on research commercialization and university knowledge transfer.

• Internet of Things (IoT)
• Distributed and Parallel Computing
• Edge and Cloud Computing
• +۷ مورد دیگر

Nabil Abdennadher is a full professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO) within the Geneva School of Engineering, Architecture and Landscape , specifically the Department of Computer Science and Communication Systems . His academic career spans over 15 years with expertise in distributed computing, IoT, and cloud-edge platforms for smart cities. BA HES-SO in Architecture MSc HES-SO in Engineering MA BFH/HES-SO in Architecture Research Focus includes: adaptive cloud-edge platforms for smart cities, energy transition solutions, GPU-accelerated solar potential estimation, decentralized coordination models, and load balancing algorithms for parallel computing systems. His work integrates IoT, AI, and acoustic sensor networks in urban contexts. Key projects: NORA (Noise Radar), MEDinA (Machine Learning for IoT), EXPOSITION (Smart Districts), LASAGNE (Smart Grids), and Swiss Multi-Science Grid . He has secured significant Innosuisse and HES-SO grants exceeding CHF 1.5M.

Stefan Schmidمشاهده پروفایل

استاد

• Biomechanics of the spine
• Motion analysis
• Musculoskeletal modeling
• +۶ مورد دیگر

Prof. Dr. Stefan Schmid serves as Professor and Head of the Spinal Movement Biomechanics Group at Bern University of Applied Sciences' School of Health Professions. He is also Deputy Head of Research at the Division of Physiotherapy and a Privatdozent at the University of Basel. PhD in Biomechanics (ETH Zurich, 2016) Habilitation in Experimental Medicine (University of Basel, 2021) His research focuses on spinal biomechanics, musculoskeletal modeling, and movement analysis, particularly for: Low back pain mechanisms Scoliosis treatment optimization Workplace ergonomics Machine learning applications in biomechanics Recent publications emphasize: Spinal movement pattern quantification Pain-related fear analysis Computational spine modeling Wearable sensor validation He leads multiple funded projects including: ScolioGroMod (SNSF-funded spinal growth modeling) LBPredict (AI-based lifting risk assessment) International collaborations with Harvard Medical School and Polytechnique Montréal

Jens Hunheviczمشاهده پروفایل

پژوهشگر

• Blockchain Technology
• Decentralized Data Protocols
• Performance-Based Contracts
• +۴ مورد دیگر

Jens Hunhevicz is a postdoctoral researcher at Empa and ETH Zurich, affiliated with the Urban Energy Systems Laboratory and Circular Engineering for Architecture Group . His work bridges the built environment and digitalization, focusing on blockchain-enabled governance for net-zero goals and resource responsibility. Key research areas: blockchain, decentralized data protocols, performance-based contracts, product passports Projects: CertH2&CO2 , ThinkEarth , co-founder of DAO Suisse Recent publications: 15+ works on blockchain applications in construction, circular design, and decentralized governance His interdisciplinary approach combines institutional economics, digital fabrication, and Web3 technologies to transform construction workflows and governance models.