جست‌وجوی استاد و پژوهشگر

Edoardo Galloمشاهده پروفایل

دانشیار

• Experimental Economics
• Networks
• Behavioural Economics
• +۳ مورد دیگر

Dr. Edoardo Gallo is a University Associate Professor at the Faculty of Economics, University of Cambridge, and a member of Magdalene College. His research focuses on Experimental Economics , Networks , and Behavioural Economics . Harvard University: A.B. in Physics and Mathematics University of Oxford: M.Phil. and D.Phil. in Economics Gallo's research explores how network structures influence economic behavior, cooperation, and decision-making. His work spans topics like cybercrime disruption , social exclusion , COVID-19 behavioral responses , and unethical behavior in rivalry . Gallo's recent publications (2020-2025) analyze networked social dynamics , including cooperation mechanisms , monetary exclusion , and pandemic-induced behavioral changes . His experiments often employ interactive online platforms like UbiquityLab. Unicredit Foundation Best PhD Thesis Award CRASSH Early Career Fellowship Gallo supervises PhD students such as Rebecca Heath and Christian Höhne , with interests in online social networks and network cognition . He has received grants from the International Foundation for Research in Experimental Economics and the Isaac Newton Trust .

• Energy systems optimization
• Conceptual process design
• Life cycle assessment
• +۷ مورد دیگر

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

• Urban morphology
• Urban design
• Street layout and network structure
• +۵ مورد دیگر

Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).

• Machine Learning
• Deep Learning
• Signal Processing
• +۹ مورد دیگر

Prof. Dr.-Ing. Ahmad Osman is a Professor at the Saarland University of Applied Sciences (htw saar), specializing in Test Technologies and Test Methods within the Faculty of Engineering. He also holds an Adjunct Professor position at Laval University in Quebec, Canada, in the Department of Electrical Engineering and Computer Science. His research focuses on Artificial Intelligence applications in Signal and Image Processing for Non-destructive Testing (NDT) , with extensive work on Deep Learning , 3D Ultrasound Tomography , and Sensor Data Fusion in industrial contexts. Engineering Artificial Intelligence Signal Processing Image Processing Non-destructive Testing Quality Control Augmented Reality Osman leads the AutomaTiQ research group and serves as Head of the Algorithms/Signal and Data Processing Department at Fraunhofer IZFP . His recent publications (2017–2022) emphasize Deep Learning for defect detection in CFRP , Terahertz Imaging for artwork diagnostics, and Acoustic Sensors for agricultural quality control. He has organized international conferences on Structural Health Monitoring and contributed to Springer books on NDT technologies. His projects include ComforTex-AI (2024) and development of 3D positioners for ultrasound measurements. Collaborations span institutions in Germany, Canada, Italy, and Brazil, with advisory roles in the German Society for NDT and technical committees for conferences in Montreal and Egypt.

Raphael Franziniمشاهده پروفایل

دانشیار

• Drug Discovery
• Medicinal Chemistry
• Bioorthogonal Chemistry
• +۳ مورد دیگر

Raphael Franzini serves as Associate Professor of Medicinal Chemistry at the University of Utah, actively contributing to the Biological Chemistry PhD Program. His research pioneers innovative chemical approaches for therapeutic development, with dual focus on DNA-encoded library technologies and bioorthogonal drug delivery systems. His educational foundation includes an M.S. from the Swiss Federal Institute of Technology (Lausanne) and a Ph.D. from Stanford University. This training underpins his group's multidisciplinary methodology combining organic synthesis, bioconjugation, computational modeling, and advanced imaging techniques. Dr. Franzini's research program centers on two transformative areas: First, advancing DNA-encoded library screening through computational integration to identify leads for challenging targets like Tankyrase and Sirtuin 6, with recent work addressing false negatives in machine learning prediction. Second, developing novel bioorthogonal release chemistry using isonitrile-tetrazine reactions for spatiotemporally controlled drug activation, validated in zebrafish models. His group emphasizes both technological innovation and therapeutic translation, with chemistry designed to minimize off-target effects in solid tumors. Analysis of his 15 most recent publications reveals escalating integration of computational methods with experimental library screening, alongside refinement of bioorthogonal release kinetics. The work spans chemical biology, medicinal chemistry, and pharmaceutical sciences, with growing emphasis on machine learning for library data interpretation and in vivo validation of drug-release systems. Dr. Franzini maintains an active research laboratory that provides comprehensive training in cutting-edge drug discovery methodologies. His group culture prioritizes both scientific innovation and researcher development, with projects spanning from fundamental reaction kinetics to therapeutic applications. The lab's infrastructure supports organic synthesis, molecular imaging, and computational analysis for advancing precision therapeutics.

Brett Sandersمشاهده پروفایل

استاد

• Flood modeling and prediction
• Coastal and urban flooding
• Hydrological modeling
• +۷ مورد دیگر

Brett Sanders is a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on developing innovative algorithms for flow and transport in river and coastal systems and integrating information technologies to create more accurate and efficient simulation tools for flood hazard assessment. His primary research interests include: Flooding and erosion hazards, particularly coastal flooding and urban flooding Surface water quality Low impact development impacts on hydrology Dam-break flooding Aerial and terrestrial lidar scanning Geographical information systems High performance computing for simulation tools Social dimensions of flood risk and adaptation behaviors Dr. Sanders' recent publications (2024-2025) reveal a comprehensive research program addressing both technical and social aspects of flood risk. His work spans computational hydrodynamics, flood hazard mapping, infrastructure vulnerability assessment, and the socioeconomic dimensions of flood risk. He has made significant contributions to understanding multi-grid modeling of urban flooding, post-fire flood hazards, satellite-based monitoring of land motion, and social inequalities in flood exposure. His research demonstrates how flood dynamics are more complex than simple bath-tub filling models suggest, with important implications for urban planning and climate adaptation. Dr. Sanders has received recognition as a Chancellor's Professor at UC Irvine, indicating distinguished scholarly achievement. His educational background includes: Ph.D. in Civil Engineering from the University of Michigan (1997) M.S. in Civil Engineering from the University of Michigan (1994) B.S. in Civil Engineering from the University of California, Berkeley (1993)

• Machine Learning
• Bioinformatics
• Deep Generative Models
• +۳ مورد دیگر

Anders Krogh is a Professor at the Department of Computer Science, University of Copenhagen, and also holds a position at the Department of Public Health in the Section for Health Data Science and AI. He serves as the head of the Center for Health Data Science (HeaDS) in the Faculty of Health and Medical Sciences. Previously, he was affiliated with the Department of Biology at the University of Copenhagen until 2020. Dr. Krogh earned his PhD in theoretical physics but transitioned into machine learning and bioinformatics during his doctoral studies. His research spans both theoretical foundations and practical applications in these fields. He is particularly renowned for his pioneering work on hidden Markov models for biological sequences, which has had significant impact in computational biology. In recent years, Krogh's research has focused on deep generative models applied to gene expression data and other biomedical applications. His work bridges computer science with healthcare, developing AI-driven approaches for precision medicine, cancer diagnostics, and analysis of complex biological systems. His current research integrates machine learning with quantum computing applications in biomolecular modeling. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence to healthcare challenges, particularly in rare diseases, cancer diagnostics, and personalized medicine. His work increasingly incorporates federated learning approaches to address privacy concerns while enabling collaborative research across institutions. There's also a growing emphasis on quantum computing applications in biomolecular modeling and drug discovery. As head of the Center for Health Data Science, Krogh leads interdisciplinary research efforts that bring together computer scientists, medical researchers, and clinicians. His team develops novel computational frameworks like MOSAIC for multimodal analysis of rare cancers and multiDGD for multi-omics data integration. These tools are designed to translate AI innovations into clinical practice while addressing the unique challenges of medical data.

Stephen Morrisمشاهده پروفایل

استاد

• Economic Theory
• Game Theory
• Financial Economics
• +۴ مورد دیگر

Stephen Morris is the Peter A. Diamond Professor of Economics at the Massachusetts Institute of Technology (MIT). He specializes in economic theory, game theory, and financial economics. Born in England, he earned a degree in Mathematics and Economics from the University of Cambridge (1985) and a Ph.D. in Economics from Yale University (1991). Before MIT, he taught at the University of Pennsylvania, Yale, and Princeton. Morris has held leadership roles, including President of the Econometric Society (2019) and President of the Society for the Advancement of Economic Theory (2023). His research focuses on higher-order beliefs, strategic coordination, and financial market dynamics. Notable contributions include work on global games, contagion effects, and information design. Morris has advised numerous PhD students across institutions like Penn, Yale, Princeton, and MIT, many of whom hold academic and industry positions globally. His awards include the Sloan Fellowship (1996), Econometric Society Fellowship (2002), and membership in the American Academy of Arts and Sciences (2005), National Academy of Sciences (2021), and British Academy (2023). His work spans theoretical frameworks in mechanism design, macroeconomic policy, and political economy, emphasizing the role of information in shaping economic outcomes.

• Education Policy
• Social Capital
• School Choice
• +۵ مورد دیگر

Prof. M. Danish Shakeel is a Professor and Director of the E. G. West Centre for Education Policy at The University of Buckingham, UK. He is also a Research Fellow at Harvard University's Program on Education Policy and Governance. His research focuses on K-12 education policy, particularly in the U.S., with expertise in systematic reviews, meta-analyses, and the political economy of education. Key areas include civic outcomes of private schooling, social capital, charter schools, and non-cognitive traits. His work has been featured in prestigious journals like Journal of School Choice and Education Next , and widely cited in media outlets such as Wall Street Journal and Washington Post . He collaborates globally, presenting at conferences like the American Political Science Association and Association for Education Finance and Policy. Prof. Shakeel advises prospective doctoral students on rigorous quantitative methods and policy-oriented research. His guidance includes structured abstracts, empirical methodology focus, and policy implications. Students pursuing a PhD must demonstrate advanced econometric skills and secure their own funding. His research has influenced philanthropic investments and policy discourse, highlighting gains in U.S. student achievement and the role of charter schools in improving outcomes for marginalized groups.

• Distributed Systems
• High Performance Computing
• Fault Tolerance
• +۴ مورد دیگر

Aishwarya Ganesan is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign. Her research focuses on distributed systems, storage systems, and fault tolerance mechanisms, with emphasis on high-performance computing and datacenter infrastructure. She leads projects addressing challenges in replicated storage, consensus protocols, and system resilience. Her work explores fault tolerance in disaggregated datacenters, log abstractions for low-latency applications, and novel replication strategies for modern storage systems. She has developed frameworks like LazyLog and IONIA to improve system efficiency and reliability. Her research also extends to automatic reliability testing for cluster management controllers and analyzing distributed storage vulnerabilities. Key contributions include demonstrating how redundancy alone does not guarantee fault tolerance, and proposing consistency-aware durability mechanisms for storage systems. She received the NSF CAREER Award in 2024 for her research on storage-aware fault tolerance. Her work spans 21 peer-reviewed publications, with notable contributions in conferences like SOSP, EuroSys, and FAST. Current projects investigate fault tolerance in emerging memory technologies and system recovery protocols for consensus-based storage.

Shouyong Shiمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• Financial Economics
• +۷ مورد دیگر

Shouyong Shi is a Professor and David C. Smith Chair in Economics at Queen's University. Previously, he held positions at the University of Toronto (as a Tier 1 Canada Research Chair) and Pennsylvania State University. His research focuses on macroeconomics, monetary economics, financial economics, and labor economics, with notable contributions to search theory, market frictions, and business cycle analysis. Shi has been a Research Fellow at the Bank of Canada and holds editorial roles, including co-editing the Annals of Economics and Finance . Education: Ph.D. in Economics, University of Toronto (1991) M.A. in Economics, University of Toronto (1988) B.Sc. in Industrial Engineering and Management Science, Huazhong University of Science and Technology (1984) Research Interests: Shi’s work spans macroeconomic theory, monetary policy, financial markets, and labor markets. Key topics include price dispersion, liquidity dynamics, wage-tenure contracts, and the role of search frictions in economic cycles. His influential papers address topics like directed search models, efficient job search mechanisms, and the impact of skill-biased technology on inequality. Awards and Honors: Tier 1 Canada Research Chair (2002–2014) John Rae Prize (2000, for best researcher in five years) Bank of Canada Fellowship (2003–2012) Grants and Supervision: Shi has supervised over 20 Ph.D. students, many of whom now hold academic or policy roles. He has received SSHRC grants for research on macroeconomic policies, search frictions, and monetary economics. Notable grants include projects on “Search Frictions and Macroeconomic Policies” and “Decentralized exchanges and market efficiency.” Labs/Teams: Shi collaborates with institutions like the Bank of Canada, Federal Reserve Banks, and international universities (e.g., Tsinghua, Fudan). His work often involves interdisciplinary teams addressing real-world economic challenges, such as pandemic impacts on output and liquidity dynamics in financial markets.

Gene Coopermanمشاهده پروفایل

استاد

• High-Performance Computing
• Computer Systems
• Transparent Checkpointing
• +۴ مورد دیگر

Gene Cooperman is a Professor at the Khoury College of Computer Sciences at Northeastern University, with an affiliation in the College of Engineering. His research focuses on high-performance computing (HPC), transparent checkpoint-restart systems, and model checking. He leads the High Performance Computing Laboratory, where he explores checkpointing technologies like DMTCP, MANA for MPI, and CRAC for CUDA, aiming to enhance HPC workflows on supercomputers such as NERSC's Perlmutter. His work bridges distributed computing, parallel algorithms, and system software to address challenges in fault tolerance, scalability, and resource management. Cooperman has advised 10 PhD students and co-authored over 125 refereed publications, contributing to projects like Geant4-MultiThreaded and Roomy for disk-based computation. His teaching includes courses on computer systems and HPC seminars. Education: Background in computational algebra and parallel computing, transitioning to HPC systems and checkpointing. Research Themes: Transparent checkpointing, MPI agnostic solutions, CUDA integration, and HPC resource optimization. Recent articles emphasize MPI checkpointing, reversible debugging (FReD), and CUDA support, reflecting trends in distributed and GPU-accelerated systems. His grants include NSF, NERSC/DOE, and MemVerge funding. Cooperman collaborates with institutions like CERN and NERSC, advancing applications in particle physics simulations and supercomputing. Current students include Aayushi Gautam, Jiajun Cao, Rohan Garg, and Twinkle Jain.

Joachim Rosenthalمشاهده پروفایل

استاد

• Coding Theory
• Cryptography
• Algebraic Geometry
• +۲ مورد دیگر

Joachim Rosenthal is a Professor of Applied Mathematics at the University of Zurich's Department of Mathematics, leading the Applied Algebra Group. His research integrates coding theory, cryptography, and algebraic geometry with applications in communications and security systems. His primary research explores algebraic coding theory including convolutional codes, subspace codes, and post-quantum cryptography. He develops algorithms for error correction, code optimization, and cryptographic protocol analysis, with emphasis on mathematical structures in finite fields and rings. Professor Rosenthal serves as President of the Swiss Mathematical Society (2024-2025) and sits on IEEE Information Theory Society's Board of Governors. He has organized multiple international conferences on coding theory and cryptography, including the Zurich COST Meeting and Workshop on Convolutional Codes. His editorial contributions include roles at Archiv der Mathematik and SIAM Journal on Applied Algebra and Geometry. Recent publications focus on code construction methods, complexity analysis in group-based cryptography, and algebraic approaches to error-correcting codes.

Tani Barlowمشاهده پروفایل

استاد

• Modern Chinese Intellectual History
• Feminist Theory
• Gender and Social Science
• +۳ مورد دیگر

Dr. Tani Barlow is the George & Nancy Rupp Professor of Humanities and Professor of History at Rice University, affiliated with the Chao Center for Asian Studies and the Center for the Study of Women, Gender, and Sexuality. A leading scholar in Modern Chinese intellectual history, her work bridges gender studies, media culture, and transnational feminism. She co-founded the Chinese Commercial Advertising Archive and edits the acclaimed journal positions: asia critique . Her research examines late 19th to early 20th century China through lenses of consumer culture, feminist theory, and cultural ephemera. Notable books include In the Event of Women (2018) and The Question of Women in Chinese Feminism (2004). Barlow holds visiting professorships at Tsinghua University, Hitotsubashi University, and the University of Bologna. She has directed major projects like the Rockefeller Foundation's Critical Asian Studies initiative and the Luce Foundation’s Ephemera Project. Her articles span journals like Boundary 2 and differences , analyzing topics from advertising art to Marxist sociology. Her recent work explores digital humanities applications in historical research and the intersections of capitalism with gendered identities in China. Barlow mentors advanced graduate students specializing in modern Chinese history with technical skills in data analysis and cultural theory. Her interdisciplinary approach integrates visual studies, political economy, and feminist critique to reframe understandings of China’s modernization processes.

Matthias Barzمشاهده پروفایل

استاد

• Polymer Science
• Biotherapeutic Delivery
• Nanoparticle Synthesis
• +۷ مورد دیگر

Matthias Barz is a Professor of Biotherapeutic Delivery at the Leiden Academic Centre for Drug Research (LACDR) , Faculty of Science , Leiden University . He leads the Barz Lab , focusing on polymer science and biomedical applications of functional nanoparticles. Professor of Biotherapeutic Delivery (Leiden University) Head of the Division of BioTherapeutics Researcher in reactive polymer systems and nanocarrier design His research bridges polymer chemistry with biomedical applications, emphasizing polypept(o)ide-based nanocarriers for targeted drug delivery in cancer, inflammation, and neurodegenerative diseases. Key areas include: Stimuli-responsive polymer architectures Secondary structure-driven self-assembly Core-crosslinked micelles for controlled cargo release Redox-sensitive disulfide bonds for intracellular delivery Protein-repellent nanoparticle shells Riboflavin-functionalized nanocarriers for tumor targeting The lab's publications highlight advancements in polysarcosine-containing copolymers , orthogonal functional group utilization , and modular nanoparticle platforms with precise control over morphology and function. Current projects explore the clinical translation of these systems for immunotherapy and diagnostics. Scientific recognition includes: Dozentenpreis des Fonds der Chemischen Industrie (2018) PMSE Young Investigator Award (2018) Nachwuchswissenschaftlerstipendium der GDCh (2017) His team trains graduate students in polymer synthesis, nanoparticle characterization, and biomedical application testing. Collaborations span institutions like the University of Tokyo and Johannes Gutenberg University Mainz , with ongoing projects under the SFB 1066 initiative for malignant melanoma immunotherapy.