جستجوی استاد راهنمای دانشگاهی

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

• Computational Biology
• Bioinformatics
• Statistical Genomics
• +۴ مورد دیگر

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

• Information Theory
• Random Matrices
• Stochastic Calculus
• +۲ مورد دیگر

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

• Machine Learning
• Stochastic Networks
• Discrete Choice Models
• +۴ مورد دیگر

Daniele Silvestro is a researcher at ETH Zürich's Department of Biosystems Science and Engineering, working within the Computational Evolution group based in Basel, Switzerland. His research spans evolutionary biology, computational methods, and biodiversity science, with a focus on developing and applying novel analytical approaches to understand macroevolutionary patterns. Dr. Silvestro's research interests center on evolutionary biology and computational approaches to understanding biodiversity patterns through time. His work bridges micro- and macroevolutionary scales, with particular emphasis on phylogenetic methods, speciation processes, and the integration of fossil data with molecular phylogenies. He applies machine learning and artificial intelligence techniques to analyze large-scale biodiversity datasets, addressing questions about species diversification, extinction dynamics, and ecological interactions across deep time. His recent publications demonstrate a strong trend toward computational innovation in evolutionary biology, with increasing integration of artificial intelligence methods to tackle complex questions in biodiversity science. His work spans multiple biological systems, from plant-soil interactions to mammalian evolution, reflecting an interdisciplinary approach that combines theoretical modeling with empirical data analysis. Dr. Silvestro collaborates extensively with researchers across institutions and disciplines, contributing to major initiatives such as the 2030 Declaration on Scientific Plant and Fungal Collecting. His research has significant implications for biodiversity conservation, particularly in understanding how species and ecosystems respond to environmental change. His work on computational methods, including software development like DeepDiveR, demonstrates a commitment to creating practical tools for the broader scientific community. His research group at ETH Zürich appears to focus on developing and applying cutting-edge computational approaches to evolutionary questions, emphasizing the importance of integrating multiple data sources and analytical frameworks.

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +۵ مورد دیگر

Dr. Sven Grossrieder serves as a Lecturer and Head of the Agronomy Study Program at the Bern University of Applied Sciences, specifically within the School of Agricultural, Forest and Food Sciences HAFL, Department of Agronomy in Zollikofen, Switzerland. His academic role combines teaching responsibilities with research leadership and program administration. Dr. Grossrieder's research interests span business management within agricultural contexts, with particular expertise in cost accounting and controlling, strategic business planning, applied statistics including Monte Carlo simulations and machine learning. His work bridges economic theory with practical agricultural applications, focusing on how business planning systems and simulation techniques can optimize agricultural operations and decision-making. His recent publications (2021-2022) reveal a strong focus on organizational behavior concepts like individual ambidexterity and management controls, alongside practical applications of algorithms in transportation planning. These works demonstrate his interdisciplinary approach connecting management theory with practical business applications. As Head of the Agronomy Study Program, Dr. Grossrieder oversees curriculum development, faculty coordination, and program quality assurance. He teaches business economics courses in the BSc Agronomy program and supervises student research projects. His industry experience at SBB Cargo AG and Simon-Kucher informs his practical teaching approach. Dr. Grossrieder is actively involved in multiple research projects including the Bern Organic Initiative 2025, ReLait (antibiotic reduction in dairy farming), and climate risk adaptation initiatives. His multilingual capabilities (German, English, French, and basic Italian) support international collaboration within the agricultural research community.

• Business Management
• Agricultural Economics
• Cost Accounting and Controlling
• +۵ مورد دیگر

Sandra Stupar serves as a Lecturer at the Lucerne University of Applied Sciences and Arts (HSLU), School of Business, within the Institute for Financial Services Zug (IFZ). She teaches core courses including Introduction to Mathematics for Business and Economics, Risk Models and Optimization, and Financial Risk Management across bachelor's and master's programs in Banking & Finance. Education: Bachelor and Master in Mathematics, Oxford University (2008-2012) PhD in Theoretical Physics (Quantum Information Theory), ETH Zurich (2012-2018) Dr. Stupar's research bridges financial risk management and quantum information theory. Her finance work focuses on corporate governance mechanisms—particularly board secretary roles—and practical risk modeling, evidenced by 2023 publications on VR-Sekretäre and Central Swiss financial monitoring. Earlier contributions to quantum physics explored clock synchronization and time operationalization, with foundational work published in PRX Quantum and arXiv. This dual expertise stems from her industry transition from Deloitte risk consulting to UBS quantitative analysis before academia. Recent publications (2022-2023) reveal a decisive shift toward applied finance: developing the Third-Party Risk Calculator, analyzing compliance frameworks, and monitoring regional banking sectors. Her quantum physics output has diminished since 2018, reflecting her career pivot toward financial applications where she leverages mathematical modeling for regulatory challenges. Dr. Stupar actively supervises master's research through project courses and practical methods modules. Her industry background enables direct translation of academic concepts into banking applications, particularly in risk assessment. Current projects like 'Return on Compliance' demonstrate her focus on bridging regulatory requirements with operational banking practices through institutional collaborations with IFZ and industry partners. Her work occurs within HSLU's Institute for Financial Services Zug ecosystem, characterized by close industry partnerships in Swiss financial regulation. The absence of a dedicated lab reflects her applied, project-based research model focused on immediate industry solutions rather than theoretical experimentation.

• Financial Risk Management
• Econometrics
• Quantum Information Theory
• +۳ مورد دیگر

Philipp Bachmann serves as Professor and Head of the Competence Center Business Communication at the Institute for Communication and Marketing (IKM) within the Lucerne School of Business at Lucerne University of Applied Sciences and Arts (HSLU). He leads research initiatives focused on media quality, strategic communication, and attention economics while managing the Platinum Open Access journal Studies in Communication Sciences as its Managing Director. His work bridges academic research with practical applications in media economics and organizational communication. Education: Doctorate (Dr. rer. soc.) at the University of Fribourg (CH) Magister Artium (MA) in Political Science, Sociology, Communication and Media Studies at the University of Leipzig Additional studies at universities of Göttingen, Stockholm and Leipzig CAS "Blockchain" at Lucerne University of Applied Sciences and Arts Professor Bachmann's research centers on organizational communication, strategic communication, and media quality assessment. He investigates how digital transformation affects media business models, with particular focus on attention markets, CSR communication, and the legitimacy challenges facing public service media. His work examines the tension between commercial pressures and journalistic integrity, especially regarding native advertising and platform competition. His recent publications reveal a clear trajectory toward understanding media quality in the digital age, with increasing focus on AI's impact on communication professions. The research spans media economics, organizational theory, and digital sociology, consistently examining how traditional media institutions adapt to platform-dominated environments while maintaining quality standards and public trust. Scientific Awards: SGKM Dissertation Prize (2016) for Best Dissertation Arthur W. Page Benchmarking Award (2015) for Conference Paper As Managing Director of Studies in Communication Sciences, Professor Bachmann has significantly shaped scholarly discourse in the field. His leadership extends to directing the Media Quality Rating (MQR) projects and organizing major conferences including the 2023 SGKM Annual Conference. His research projects frequently address pressing industry challenges such as the business model crisis in quality media, cyber resilience for communicators, and the integration of sustainability communication. Professor Bachmann leads the Competence Center Business Communication at IKM, which conducts applied research on media quality, strategic communication, and attention economics. The center collaborates with media organizations, public institutions, and industry partners to develop practical solutions for contemporary communication challenges while maintaining rigorous academic standards.

• Strategic Communication
• Organizational Communication
• Media Quality Assessment
• +۷ مورد دیگر