جست‌وجوی استاد و پژوهشگر

John Van Reenenمشاهده پروفایل

استاد

• Innovation Economics
• Labor Economics
• Productivity
• +۳ مورد دیگر

John Van Reenen holds the Ronald Coase School Professorship at the London School of Economics (LSE), serves as a Digital Fellow at MIT, and directs the Programme for Innovation and Diffusion (POID). His primary academic affiliation remains with LSE where he maintains an active research profile with publications extending into 2025. Van Reenen's research centers on innovation economics, labor markets, and productivity with deep expertise in management practices and firm dynamics. His work examines resource misallocation effects in developing economies like Mexico, structural transformation impacts on labor concentration, and spillover mechanisms from superstar firms. Key contributions span industrial organization, development economics, and technology policy, often utilizing firm-level data to analyze innovation diffusion and organizational resilience. Recent publications (2021-2025) reveal consistent focus on management-productivity linkages, structural economic transformation, and innovation systems. His research increasingly addresses climate-related business resilience, military innovation dynamics, and cross-border spillovers from foreign direct investment. Methodologically, he combines rigorous econometric approaches with subjective expectation data and firm-to-firm transaction analysis. Major recognitions include: 2009 Yrjö Jahnsson Award (European equivalent of Bates Clark Medal) 2014 European Investment Bank Prize for Excellence in Economic and Social Research 2017 Order of the British Empire (OBE) 2022 Honorary Foreign Membership in the American Economic Association No specific student advising or grant information appears in the source material, though his POID leadership implies research coordination responsibilities. As Director of the Programme for Innovation and Diffusion, Van Reenen oversees a research initiative investigating innovation drivers and diffusion mechanisms across global firms and economies, fostering collaboration between LSE, MIT, and international policy institutions.

Jinsong Huangمشاهده پروفایل

استاد مدعو

• Electronic materials
• Solar cells
• Perovskites
• +۵ مورد دیگر

Jinsong Huang serves as Adjunct Professor in the Materials Science and Engineering department at the University of North Carolina at Chapel Hill, where he leads an interdisciplinary research group focused on perovskite-based electronic materials and devices. His laboratory, housed in Murray Hall 1115, maintains active collaborations with academia, industry, and national laboratories while training next-generation scientists and engineers for competitive job markets. Dr. Huang earned his educational credentials through a rigorous academic path: Ph.D. in Materials Science & Engineering from UCLA (2007), M.S. in Semiconductor Physics from Chinese Academy of Sciences (2003), and B.E. in Materials and Photoelectronic Physics from Xiangtan University (2000). His research program spans Perovskite Solar Cells , Photodetectors , and X-ray Imagers , with particular emphasis on fundamental material physics, device design, stability enhancement, and scalable manufacturing. The group's work bridges applied research with deep scientific understanding, focusing on high-performance, low-cost electronic materials that address critical energy and medical imaging challenges. Current projects include self-powered photon-counting detectors, bifacial perovskite modules, and all-perovskite tandem solar cells. Analysis of recent publications reveals a strategic research trajectory toward commercialization of perovskite technologies, with increasing focus on stability, scalability, and real-world performance metrics. The work spans fundamental science (defect engineering, crystal growth) to applied technologies (medical imaging detectors, flexible solar cells), demonstrating remarkable breadth while maintaining technical depth in perovskite material systems. Highly Cited Researcher 2021 in Material Science and Chemistry Principal Investigator for $1.5 million UNC System Research Opportunities Initiative (2025) Multiple student/postdoc awards including Postdoctoral Awards for Research Excellence Consistent high-impact publications in Nature, Science, and Advanced Materials Huang actively mentors students and postdocs, with notable alumni including four of the 41 Tar Heels ranked as 'highly cited researchers' in December 2023. His research group has secured significant funding including the recent $1.5 million UNC System grant for 'Ultra-High Efficiency Perovskite Tandem Solar Cells' focusing on North Carolina's energy production and reduced fossil fuel dependence. The laboratory maintains strong industry partnerships that facilitate technology transfer and real-world implementation of research findings. The Huang Research Group operates as a dynamic interdisciplinary team with scientists from chemistry, materials science, physics, and electrical engineering backgrounds. Their collaborative culture has produced numerous breakthroughs including record-efficiency perovskite modules certified by NREL, self-powered photon-counting detectors published in Nature, and lead-recycling technologies highlighted in Nature Communications. Current facilities support crystal growth, device fabrication, and advanced characterization of perovskite materials for both energy and radiation detection applications.

Yepang Liuمشاهده پروفایل

دانشیار

• Software Testing and Analysis
• Empirical Software Engineering
• AI for Software Engineering
• +۵ مورد دیگر

Yepang Liu is a tenured Associate Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He leads the Software Quality Lab and serves as director of the Trustworthy Software Research Center within the Research Institute of Trustworthy Autonomous Systems. His educational background includes a B.Sc. with honors from Nanjing University (2010) and a Ph.D. from the Hong Kong University of Science and Technology (2015), where he was supervised by Prof. Shing-Chi Cheung. Prior to joining SUSTech, he worked as a postdoc at HKUST's CASTLE Lab and Cybersecurity Lab. Liu's research primarily focuses on software testing and analysis, empirical software engineering, AI for SE, software security, and trustworthy AI. His work bridges traditional software engineering with cutting-edge AI technologies, particularly in automated testing, security analysis, and quality assurance for mobile, blockchain, and extended reality applications. Recent projects explore how large language models can enhance bug detection, improve testing automation, and address fairness issues in machine learning systems. His contributions have been recognized with three ACM SIGSOFT Distinguished Paper awards (ICSE 2021, ASE 2016, ICSE 2014) and one Distinguished Artifact award (ICSE 2019). He has also received the ACM SIGSOFT Service Award and Distinguished Reviewer Award for his extensive service to the software engineering community. Top-10 Most Active Early-Stage Software Engineering Researcher (2013-2020) Top-10 Most Popular Instructor Among 2024 Undergraduate Graduates at SUSTech Junior Faculty of the Year (2021) SUSTech Teaching Excellence Award (2021) Outstanding Mentor Award (2020, 2024) Liu actively serves on the editorial boards of Empirical Software Engineering (EMSE) and Journal of Computer Science and Technology (JCST). He has participated in over 80 conference committees including leadership roles in ICSE, FSE, ASE, and ISSTA. His research is supported by the National Natural Science Foundation of China, National Key Research and Development Program, and leading Chinese IT companies. He regularly mentors PhD and MSc students and has guided multiple national competition award-winning teams. The Software Quality Lab under Liu's direction focuses on innovative approaches to software testing, security analysis, and quality assurance across various platforms including mobile, blockchain, and extended reality applications. Current projects emphasize the integration of AI techniques with traditional software engineering practices to address emerging challenges in software quality.

Federico Toschiمشاهده پروفایل

استاد

• Fluid Dynamics
• Statistical Physics
• Soft Condensed Matter
• +۵ مورد دیگر

Federico Toschi is a Full Professor at Eindhoven University of Technology (TU/e), holding joint appointments in Applied Physics and Mathematics and Computer Science departments. His research focuses on multi-scale transport phenomena, combining statistical physics, fluid dynamics, and computational methods. He leads projects in the 4TU Centre for Multiscale Phenomena and EAISI. Education: PhD in Physics (University of Pisa, 1998) and academic background at Scuola Normale Superiore di Pisa. Interdisciplinary expertise in fluid dynamics turbulence, Lagrangian turbulence, crowd dynamics, and Lattice Boltzmann methods. Recipient of APS Fellow (2015), Euromech Fluid Mechanics Fellow (2012), and Ig Nobel Prize for Physics (2021). Research emphasizes turbulence modeling, pedestrian dynamics, and active matter, with applications in environmental flows and crowd management. His work bridges computational innovations with experimental validations. Recent articles explore kinetic data-driven turbulence modeling, pedestrian flow optimization, and turbulence effects in biological systems. Projects include digital twins for seismicity modeling and rarefied gas dynamics. Teaches fluid mechanics, computational physics, and chaos theory courses. Founded Flow Matters Holding BV, applying research to practical solutions.

• Digital Marketing
• Social Media/Influencer Marketing
• Omnichannel/Multichannel Retailing
• +۱۰ مورد دیگر

Jeeyeon Kim is a Lecturer in the Department of Management and Marketing at La Trobe Business School, La Trobe University. Prior to this, she served as an Assistant Professor at National Sun Yat-sen University in Taiwan. Her research focuses on digital marketing, omnichannel retailing, social media/influencer marketing, and digital healthcare. She holds a PhD and MA from Yonsei University, South Korea, and has held visiting roles at Yonsei University and IE University. Her work emphasizes empirical data analysis and statistical modeling to address marketing challenges. Jeeyeon has secured multiple research grants, including AUD 82,500 from Taiwan's Ministry of Science and Technology (MOST) for projects on big data-driven marketing and digital transformation. She also coordinates grants with Yonsei University and AACSB initiatives. Her editorial roles include serving on the Asia Marketing Journal and Korean Scholars of Marketing Science boards. Her research spans topics such as virtual influencers' impact on social media, omnichannel strategies, and healthcare consumer behavior. Teaching awards include the 'Outstanding Course Teaching Award' and 'Excellent Mentor Award.' She actively reviews for journals like the Asian Pacific Journal of Marketing and Logistics and conferences like the Global Fashion Management Conference.

Sourav Sarkarمشاهده پروفایل

دانشیار

• Probability Theory
• KPZ Universality Class
• Random Growth Models
• +۱۰ مورد دیگر

Sourav Sarkar is a University Associate Professor in Probability at the Department of Pure Mathematics and Mathematical Statistics (DPMMS), University of Cambridge (since July 2024) and a Fellow of Trinity Hall. Previously, he held positions as an Assistant Professor at DPMMS (2021–2024), Postdoctoral Fellow at the University of Toronto (2019–2021), and completed his Ph.D. in Statistics at UC Berkeley (2019) under Prof. Alan Hammond. His education includes a BSc (2013) and MSc (2015) in Statistics from the Indian Statistical Institute, Kolkata, advised by Prof. Parthanil Roy. Research Interests : Probability theory with a focus on KPZ universality class, random growth models (e.g., last passage percolation, exclusion processes), Coulomb gas, and percolation theory. His work bridges stochastic processes, mathematical physics, and statistical mechanics. Teaching : Teaches advanced courses in Probability and Stochastic Calculus at the University of Cambridge, including Part II courses on Applied Probability and Probability & Measure. Previously taught at UC Berkeley, where he received the Outstanding Graduate Student Instructor Award (2019). Publications : Focuses on KPZ fixed point, geodesic properties, and phase transitions in interacting particle systems. Recent work includes studies on the directed landscape, stable random fields, and competitive erosion dynamics. Awards : Recognized for exceptional teaching at Berkeley and sustained contributions to probability theory research.

Lionel Levineمشاهده پروفایل

استاد

• Applied Mathematics
• Combinatorics and Discrete Geometry
• Probability and Statistics
• +۴ مورد دیگر

Lionel Levine is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His academic research focuses on abelian networks, interacting particle systems, and the emergence of complex patterns from simple rules. He has held prestigious fellowships, including the Simons Fellowship and Sloan Research Fellowship, and has been honored with an endowed professorship. Levine's work bridges probability theory, combinatorics, and statistical physics, with notable contributions to the study of sandpile models and internal diffusion-limited aggregation (IDLA). Education: Ph.D. in Mathematics (2007), University of California, Berkeley. Research Interests: Applied Mathematics, Combinatorics, Probability, Abelian Networks, Sandpile Models, and their intersections with computer science and statistical physics. His research explores how local rules generate large-scale structures, such as in abelian networks and sandpile models. Awards and Honors: Simons Fellowship, Sloan Research Fellowship, Endowed Professorship in the College of Arts and Sciences. Teaching: Courses include Probability Theory (MATH 6710/6720), Topics in Probability: Math for AI Safety (MATH 7710), and undergraduate mathematics courses like Strategy, Cooperation, and Conflict (MATH 1340). Grants and Funding: Supported by the National Science Foundation (NSF), Simons Foundation, Sloan Foundation, and Institute for Advanced Study. Collaborations: Collaborates with prominent researchers such as Yuval Peres, Cris Moore, and Jim Propp. His work has been published in leading journals like the Annals of Probability and Duke Mathematical Journal. Future Work: Continues investigating AI safety, causal models, and multi-agent learning, including research on mathematical frameworks for transformer circuits and hidden incentives in AI systems.

Pablo Durango-Cohenمشاهده پروفایل

دانشیار

• Transportation Infrastructure Management
• Optimization
• Econometrics
• +۵ مورد دیگر

Pablo Durango-Cohen is an Associate Professor of Civil and Environmental Engineering at Northwestern University, located in Evanston, IL. He holds a Ph.D. in Industrial Engineering and Operations Research from UC Berkeley, following an M.S. from the same program and a B.S. in Industrial and Systems Engineering from the University of Southern California. His research focuses on developing and analyzing optimization and econometric models for transportation infrastructure systems, integrating environmental design, life-cycle assessment, and policy analysis to address decarbonization challenges in freight systems. He also explores dynamic segmentation models for nonprofit fundraising strategies. Education: Ph.D. Industrial Engineering and Operations Research, University of California, Berkeley (2006) M.S. Industrial Engineering and Operations Research, University of California, Berkeley B.S. Industrial and Systems Engineering, University of Southern California Research Interests: Prof. Durango-Cohen’s work bridges transportation engineering, environmental science, and operations research. He emphasizes infrastructure management through data-driven frameworks, including statistical process control for condition monitoring and predictive maintenance. His recent projects address decarbonization of freight rail systems, electric vehicle impacts on road infrastructure, and optimal auction designs for road concessions. He also applies mathematical models to analyze donor behavior and fundraising efficiency in universities, aiming to improve nonprofit resource allocation strategies. Awards: NSF Faculty Early CAREER Development Award (2006) Young Author Prize, 2007 World Congress on Transport Research Matthew G. Karlaftis Best Paper Awards (2020–2025) Advising & Grants: He advises current PhD candidates including Jing Yu, Adrian Hernandez, and Callahan Skiles, while mentoring former students across sustainability, infrastructure, and fundraising analytics. His research is supported by agencies like the National Science Foundation, Department of Energy (through ARPA-E), and Department of Transportation. He co-leads the LOCOMOTIVES project with ANL researchers, focusing on decarbonizing rail networks, and founded the Virtual Inter-university Symposium on Infrastructure Management (VISIM) to foster academic collaboration. Labs & Teams: As Principal Investigator (PI) on major initiatives like LOCOMOTIVES and VISIM, he collaborates with multidisciplinary teams at Northwestern and Argonne National Laboratory. His group develops tools such as the Locomotives interactive dashboard and a computational framework for input-output lifecycle assessments, accessible via repositories like CivEnv304 .

Francesco Antonio Perottiمشاهده پروفایل

مدرس

• Circular Economy
• Knowledge Management
• Innovation
• +۳ مورد دیگر

Francesco Antonio Perotti is a PhD Alumni in Business and Management from the University of Agder, Norway, and the University of Turin, Italy. He holds a Lecturer position at the School of Management and Economics, University of Turin. His primary research focuses on Circular Economy, Knowledge Management, Innovation, and Digital Transformation. He contributes to high-impact journals and serves on editorial boards. His work bridges theoretical insights with practical applications, emphasizing sustainable business practices and organizational leadership. Perotti is also a member of national and international research groups and engages in academic dissemination through conferences and teaching. His research explores topics like open innovation in sustainability, digital transformation leadership, and mitigating knowledge sabotage in organizations. He has published in journals such as Innovation: Organization and Management , Creativity and Innovation Management , and Journal of Business Research . His recent studies analyze SMEs' adaptation to circular economy models and AI-driven leadership strategies. Perotti’s work addresses strategic drivers for business survival in sustainability transitions and the implementation of digital tools in circular enterprises.

Dongyoung Leeمشاهده پروفایل

دانشیار

• Accounting Research
• Corporate Social Responsibility
• Corporate Governance
• +۳ مورد دیگر

Dongyoung Lee is an Associate Professor of Accounting and Desautels Faculty Scholar at McGill University's Desautels Faculty of Management. He holds a PhD in Business Administration from the University of Utah, an MSc in Accounting from the University of Hawaii at Manoa, and a BA in Business Administration from Hanyang University, Korea. His research focuses on corporate social responsibility (CSR), capital markets, international business strategies, and disclosure practices. Key areas include CSR ratings, technological innovation disclosure, global supply chain dynamics, tax haven implications for U.S. firms, and labor market interactions with corporate governance. Recent articles highlight trends in linking CSR with firm innovation, analyzing how successful technological innovations influence corporate transparency, and cross-country comparisons of manufacturing strategies. His work often bridges accounting practices with broader business strategies. Grants: SSHRC Partnership Engage Grant (2024), SSHRC Insight Development Grant (2022, 2019), FRQSC New Academics Grant (2018) He teaches courses in financial and management accounting. His research is featured in top journals including Strategic Management Journal and The Accounting Review .

• Applied Economics
• Econometrics
• Labour Economics
• +۶ مورد دیگر

Assoc Prof Haoming Liu is an Associate Professor in the Department of Economics at National University of Singapore. His research focuses on applied economics, econometrics, and labor economics, with a particular emphasis on labor and demographic economics, health, education, and welfare, as well as economic development and technological change. His work often examines the intersections between environmental factors (e.g., heat, pollution) and economic outcomes, such as labor productivity, crime rates, and educational attainment. He has also contributed to studies on minimum wage policies, housing markets, and fertility-education trade-offs in developing economies. Education: PhD in Economics from the University of Western Ontario, Canada. Research highlights include analyzing the impact of heat on economic activity in tropical cities like Singapore, the effects of air pollution on labor productivity in China, and the role of discount rates in long-term housing market decisions. His teaching interests span labor economics, income distribution, and applied econometrics. Key contributions include demonstrating how heat influences workplace attendance and student performance in air-conditioned versus non-air-conditioned environments, and how minimum wage increases reduce urban crime disparities between low- and high-income communities. His articles frequently employ innovative econometric methods to address policy-relevant questions, such as optimal contest design, microgrid energy trading mechanisms, and urban density pricing in housing markets.

Laura Empsonمشاهده پروفایل

استاد

• Leadership and Governance
• Organizational Culture
• Professional Service Firms
• +۳ مورد دیگر

Professor Laura Empson is a leading academic in the field of professional service firms, holding dual professorial roles at Bayes Business School (University of London) and Copenhagen Business School. She also serves as a Research Fellow at Harvard Law School and the Judge Business School, University of Cambridge. Her research focuses on leadership, governance, organizational culture, and professional service firm dynamics, with over 30 years of contributions to the field. Education: PhD, London Business School (UK) MBA, London Business School (UK) BSc Econ, University College London (UK) Her work emphasizes bridging research and practice, with notable projects on mergers & acquisitions, knowledge management, and diversity in professional firms. Empson has secured over £1 million in external funding, split equally between research councils and corporate partners. She established and directed the Centre for Professional Service Firms at Bayes (2008-2024) and contributed to influential publications like the Oxford Handbook of Professional Service Firms . Awards & Recognition: Keynote Address at British Academy of Management Conference (2020) Founder Member of the Strategic Advisory Board for Journal of Management Studies (2020) Shortlisted for Thinkers 50 Leadership Award Member of ESRC's Peer Review College Leadership & Grants: Secured £1M+ in funding (50% research councils, 50% corporate) Advised UK's Financial Reporting Council and Competition & Markets Authority Contributed to BBC Radio Four's documentary on professional overachievers Labs & Teams: Founded and led the Centre for Professional Service Firms at Bayes Business School, fostering interdisciplinary research on professional service industries.

Shabaz Mohammedمشاهده پروفایل

دانشیار

• Proteomics
• Mass Spectrometry
• Post-translational Modifications
• +۴ مورد دیگر

Shabaz Mohammed is an Associate Professor of Proteomics at the University of Oxford, holding joint appointments in the Departments of Chemistry and Biochemistry. Since 2020, he has served as Head of the Mechanistic Proteomics research programme at the Rosalind Franklin Institute. His research focuses on advancing proteomics technologies to study protein post-translational modifications and their roles in cellular processes, with applications in viral infections and disease mechanisms. Education: BSc in Chemistry, UMIST (now The University of Manchester), 1999 PhD in Biological Mass Spectrometry, University of Manchester, 2003 Postdoctoral Research, University of Southern Denmark (with Ole Jensen), 2005-2008 Postdoctoral Research, Utrecht University (with Albert Heck), 2008 Professor Mohammed's research centers on developing novel mass spectrometry approaches for large-scale characterization of protein post-translational modifications (PTMs). His group innovates in chromatographic techniques for single-cell proteomics, creates materials for PTM enrichment (glycosylation/phosphorylation), and applies these tools to study viral infections (SARS-CoV-2), cell cycle regulation, and signaling pathways. His work bridges chemistry, biochemistry, and cell biology to understand dynamic protein functions in health and disease. His recent publications (2023-2025) demonstrate strong emphasis on viral proteomics, particularly virus-host RNA-binding protein interactions, and innovations in mass spectrometry fragmentation techniques and chromatography. Key themes include viral remodeling of host cells, new labeling strategies for PTMs, and advancements in single-cell proteomics, with significant implications for understanding viral pathogenesis. Scientific Awards: No specific awards or fellowships were detailed in the source material. Advising and Grants: Information regarding graduate students supervised or specific research grants was not provided in the available text. As an active research group leader, Professor Mohammed likely mentors PhD students and secures competitive funding for proteomics research. Laboratories and Collaborations: Professor Mohammed leads a research group at Oxford focused on proteomics technology development. He collaborates extensively with the Ben Davis group on PTM detection materials and across the university on biochemical applications. At the Rosalind Franklin Institute, he heads the Mechanistic Proteomics programme to unravel protein functions through advanced proteomic methods.

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +۳ مورد دیگر

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

Alexander Cooleyمشاهده پروفایل

استاد

• International Relations
• Political Science
• Global Governance
• +۵ مورد دیگر

Alexander Cooley is the Claire Tow Professor of Political Science at Barnard College, Columbia University, and serves as Vice Provost for Research and Academic Centers. He previously directed Columbia’s Harriman Institute (2015–2021), a leading center for Russian, Eurasian, and Eastern European studies. His research focuses on external actors’ influence in post-Soviet states, kleptocracy, and the decline of American hegemony. Cooley has authored/co-authored eight books, including *Exit from Hegemony* (2020) and *Dictators Without Borders* (2017). He advises international bodies, testifies before Congress, and publishes in *Foreign Affairs*, *Foreign Policy*, and *New York Times*. Educated at Swarthmore College and Columbia University (MA, MPhil, PhD), his work spans global governance, international rankings, and authoritarian resilience. Grants from Open Society Foundations and Carnegie Corporation support his research. Education: BA (Swarthmore), MA/MPhil/PhD (Columbia) Leadership Roles: Harriman Institute Director, Barnard Vice Provost Research Themes: Eurasian geopolitics, authoritarianism, US-Russia military bases, global rankings His recent articles analyze Russia’s post-Soviet influence, America’s declining hegemony, and Central Asia’s adaptation to shifting global powers. Cooley’s work bridges academia and policy, addressing contemporary challenges like kleptocracy and multipolarity through rigorous scholarship and public engagement.