جست‌وجوی استاد و پژوهشگر

Didier Raboissonمشاهده پروفایل

استاد

• Animal Health Economics
• Ruminant Population Medicine
• Bioeconomic Modeling
• +۴ مورد دیگر

Didier Raboisson is a Full Professor in Ruminant Population Medicine and Animal Health Economics at the National Veterinary School of Toulouse (ENVT), France. Holding a DVM, MSc, PhD, and Diplomate status in the European College of Bovine Health Management (ECBHM), his career spans from clinical practice (2004-2006) to academic leadership at ENVT since 2006, progressing from contractual assistant to full professor in 2019. His educational credentials include a Doctor in Veterinary Medicine (2003), ruminant clinical internship (2005), MSc in Agricultural Socio-economics (2007), PhD in Institutional Economics (2011), and HDR accreditation (2017). His research pioneered the DairyHealthSimulator® (DHS®), a stochastic dynamic bioeconomic model optimizing dairy herd management under constraints like antimicrobial use. Key contributions address veterinary workforce shortages, disease cost analytics, and veterinary business models through innovative frameworks like the DODforD herd health approach. Raboisson's publication portfolio exceeds 75 international peer-reviewed papers, with recent work focusing on antimicrobial reduction strategies, lameness economics, and dairy cooperative development. His research demonstrates consistent interdisciplinary integration of veterinary science, economics, and stochastic modeling, particularly evident in the shift from descriptive disease cost analysis to utility-optimized decision frameworks. Scientific recognition includes: ECBHM Diplomate status (2011) HDR accreditation (2017) DHS® and App Qost® patents Academic editor roles at PlosOne and Frontiers in Veterinary Sciences As supervisor of 8 PhD students and 6 post-doctorates, Raboisson leads the VetEconomics research group while directing France's continuous training program in bovine population medicine. His grant portfolio exceeds €1.4 million from INRAE, Ministry for Agricultural Sovereignty, ANR, and EU programs. International collaborations span Cornell, Liverpool, and Indian institutions through CEFIPRA and Prezode initiatives, with policy impact evidenced by DGAL working group contributions on veterinary shortages and biosecurity.

• Hardware Security
• Embedded Systems
• Energy-Efficient Computing
• +۵ مورد دیگر

Mahdi Fazeli is an Associate Professor at the School of Information Technology, Halmstad University, Sweden, specializing in hardware security and trust, energy-efficient computing, and embedded and cyber-physical systems. His academic journey began with a Ph.D. in Computer Engineering from Sharif University of Technology, Iran, in 2011. His career progression includes positions as Associate Professor at Bogazici University (2019-2021) and Iran University of Science and Technology (2016-2019), and Assistant Professor at the same institution (2011-2016). His research interests focus on hardware security and trust, reliable VLSI circuits and systems, energy-efficient computing, and dependable embedded systems. His work bridges the gap between theoretical security concepts and practical implementations in real-world systems, particularly in IoT and embedded environments. He has established himself as a leading researcher in Physical Unclonable Functions (PUFs), hardware trojans detection, and energy-efficient security solutions for resource-constrained devices. His publication record shows a clear progression and deepening expertise in hardware security, with recent work focusing on cutting-edge applications in edge computing, vehicular networks, and IoT security. His 2023-2025 publications demonstrate significant contributions to magnetic memory-based security primitives, anomaly detection systems, and energy-efficient security mechanisms. Throughout his career, Fazeli has led multiple research initiatives including the Dependable Systems and Architecture Lab (DSA) and the Networked and Embedded Systems Lab at Iran University of Science and Technology. His leadership extends to heading the Hardware Group and serving as Vice Chair for Educational Affairs, demonstrating his commitment to both research excellence and academic administration.

Leila De Florianiمشاهده پروفایل

استاد

• Geometric Modeling
• Data Visualization
• Spatial Data Representation and Processing
• +۶ مورد دیگر

Leila De Floriani is a Professor at the University of Maryland, with appointments in the Department of Geographical Sciences and the University of Maryland Institute for Advanced Computer Studies (UMIACS). She previously served as a professor at the University of Genova (Italy) since 1990, where she developed Italy's first undergraduate and graduate curricula in computer graphics and directed the Ph.D. program in Computer Science for eight years. Her professional activities include serving as the 2020 President of the IEEE Computer Society and currently as IEEE Division VIII Director for 2023-24. Professor De Floriani's research spans geometric modeling, data visualization, spatial data representation and processing, computer graphics, shape analysis, and topological data analysis. Her work focuses on developing mathematical models and algorithms for representing, analyzing, and visualizing complex spatial data, particularly through hierarchical models, mesh-based representations, and topology-based approaches. Her research group, the GeoVis group, investigates applications in terrain modeling, environmental data analysis, and forest structure mapping using LiDAR technology. Analysis of her recent publications reveals a strong focus on terrain representation and processing, with increasing emphasis on topological data analysis, machine learning integration, and efficient algorithms for large-scale spatial data. Her work bridges theoretical foundations in computational topology with practical applications in geospatial sciences, demonstrating consistent innovation in data structures and visualization techniques. Scientific Awards & Recognitions Fellow of IEEE (2016) for contributions to geometric modeling and scientific visualization Fellow of International Association for Pattern Recognition (IAPR) (1998) for contributions to geometric modeling and image analysis Fellow of Eurographics Association (2020) for outstanding contributions to computer graphics and visualization Pioneer of Solid Modeling Association (2017) for seminal work in solid and feature-based modeling Inducted Member of IEEE Visualization Academy (2020) IEEE Computer Society Golden Medal Award (2018) Inducted Member of IEEE Honor Society Eta Kappa Nu (2019) Multiple best paper awards at major conferences including Shape Modeling International (2015), IEEE/EG Symposium on Volume and Point-Based Graphics (2008), and ACM SIGSPATIAL (2008) Professor De Floriani has successfully advised numerous PhD students including Xin Xu, Yunting Song, and Noel Dyer, whose recent dissertations focused on topology-based individual tree mapping, efficient terrain analysis, and bathymetric data visualization respectively. Her research has been funded by prestigious agencies including the National Science Foundation, NASA, and the European Commission. As the leader of the UMD GeoVis group, she oversees a research program that develops open-source tools for spatial data analysis available on GitHub, with current projects focusing on forest point cloud processing and topology-based geospatial data visualization. The GeoVis group, affiliated with the Department of Geographical Sciences, UMIACS, and the Center for Geospatial Information Sciences, maintains a strong collaborative environment with ongoing projects in geometric modeling, spatial data structures, topology-based machine learning, and mesh-based terrain modeling. The group has received recent funding from NASA's HPOSS program for developing an open-source library for forest point cloud processing based on topological data analysis.

• Space Robotics
• Control Theory
• Computer Vision
• +۴ مورد دیگر

Pedro Roque is a Postdoctoral Researcher at KTH Royal Institute of Technology in Stockholm, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP) and associated with the Division of Decision and Control Systems (DCS). He obtained his Ph.D. in 2024 from the same division under the supervision of Prof. Dimos Dimarogonas, Prof. Mikael Johansson, and Prof. Jana Tumova. His research focuses on practically applicable theoretical results in robotics and control, with emphasis on space and aerial systems. Dr. Roque is particularly interested in developing algorithms that directly contribute to system performance and enhanced capabilities. He currently leads the setup of a Space Robotics Laboratory at KTH, associated with the Space Center and the WASP NEST DISCOWER project. He is an advocate for open-source software and hardware, contributing to NASA Astrobee and PX4 projects, with his research tested on the International Space Station and indoor flight arenas. Dr. Roque's work demonstrates a clear progression from theoretical foundations to practical implementation in space environments. His recent publications show an increasing focus on multi-agent coordination in microgravity, with significant contributions to model predictive control for space robotics applications. The research spans from fundamental control theory to complete system implementation, reflecting his commitment to bridging theory and practice. ICRA 2022 Outstanding Coordination Award for work on decentralized model predictive control for collaborative UAV bar transportation Dr. Roque actively mentors Master's students in Space Robotics, Control, and Vision, with supervision details available on his personal website. He has collaborated extensively with NASA Astrobee and PX4 projects, and his DISCOWER project involves collaboration with 3 Ph.D. students, 2 Master's students, 6 Professors, and one Post-doc. He also completed a 4-month internship at JPL within the Maritime and Multi-Agent Systems group. He leads the Space Robotics Laboratory at KTH, associated with the Space Center and the WASP NEST DISCOWER project, which has already demonstrated capabilities to Digital Futures, SAAB AB, SAAB Inc., and Purdue scholars. The laboratory focuses on weightless robotics, collaborative robotics (Space Cobot), and exploration robotics (MoonHopper), with practical testing on the International Space Station.

• Control Systems
• Robotics
• Marine Robotics
• +۳ مورد دیگر

Kristin Y. Pettersen is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), and a Professor II at the Norwegian Defence Research Institute (FFI). She is a co-founder of Eelume AS, a company specializing in underwater robotics solutions. Education: Civil Engineering and PhD in Technical Cybernetics from NTNU Her research focuses on advanced control systems for marine and underwater vehicles, particularly snake robots and autonomous underwater vehicles (AUVs). Key areas include formation control, path following, adaptive guidance algorithms, and safety-critical control in dynamic environments. Recent work explores machine learning integration and energy-shaping techniques for robust locomotion. Publications highlight trends in Model Predictive Control (MPC) , Collision Avoidance , and Task-Priority Operational Space Control for redundant and underactuated systems. Her work bridges theoretical control theory with practical applications in marine robotics, including autonomous inspections and cooperative transport. Labs/Teams: Collaborates with NTNU's Faculty of Information Technology and Electrical Engineering and co-founded Eelume AS, advancing subsea robotic manipulation technologies.

William R. Cluettمشاهده پروفایل

استاد

• System Identification
• Process Control
• Systems Biology
• +۴ مورد دیگر

William R. Cluett is a Professor at the University of Toronto's Department of Chemical Engineering & Applied Chemistry within the Faculty of Applied Science and Engineering. He holds a B.Sc. from Queen’s University and a Ph.D. from the University of Alberta, and is a licensed Professional Engineer (P.Eng). Currently serving as Dean’s Advisor on Innovations in Undergraduate Education, Cluett bridges engineering principles with systems biology in his research. B.Sc., Queen’s University Ph.D., University of Alberta Cluett's research spans traditional process control and design, extending into systems biology where he collaborates with Professor Krishna Mahadevan. His work focuses on integrating engineering methodologies with biological systems, including multiscale modeling, dynamic metabolic engineering, and computational toxicology. His publications highlight trends in applying control theory to metabolic networks, developing algorithms for genome-scale modeling, and designing bistable cell factories. These contributions reflect interdisciplinary efforts between chemical engineering and computational biology. Scientific Awards & Recognitions: Fellow of Engineers Canada (2021) Medal for Distinction in Engineering Education (2021) OCUFA Teaching Award (2020) President’s Teaching Award (2018) Sustained Excellence in Teaching Award (2016) Bill Burgess Teacher of the Year Award (2014) Fellow, AAAS (2009) Fellow, Chemical Institute of Canada (1998) Syncrude Canada Innovation Award (1997) Cluett has contributed to major grants and collaborative projects in systems biology and metabolic engineering. He actively advises on undergraduate education innovations and maintains strong affiliations with the Department of Chemical Engineering & Applied Chemistry.

Rachel Siplerمشاهده پروفایل

پژوهشگر

• Marine Biogeochemistry
• Phytoplankton Ecology
• Microbial Physiology
• +۷ مورد دیگر

Rachel Sipler, PhD, serves as Senior Research Scientist and Director of the Center for Water Health and Humans at Bigelow Laboratory for Ocean Sciences. Her work focuses on marine biogeochemical processes and their responses to environmental change across global aquatic ecosystems. Education: Ph.D. in Oceanography (2009), Rutgers, the State University of New Jersey B.S. in Biology (2003), Salisbury University B.S. in Environmental Science (2003), University of Maryland, Eastern Shore Dr. Sipler's research program integrates biogeochemistry, microbial physiology, and phytoplankton ecology to investigate how environmental drivers (temperature, salinity, nutrients, pollution) affect water quality, elemental cycling, and plankton communities. Her work spans freshwater to polar ocean environments, addressing carbon sequestration, nutrient cycling, harmful algal blooms, and coastal eutrophication through laboratory and field studies. She emphasizes collaborative approaches with academic, government, industry, and indigenous partners to translate findings into water management solutions. Analysis of her recent publications (2023-2025) reveals intensifying focus on nitrogen-carbon coupling in polar systems, socio-ecological indicators for Arctic coasts, and biogeochemical roles of seagrass ecosystems. Her work increasingly examines climate change impacts on biogeochemical cycles under ice-covered conditions and develops frameworks for scaling catchment studies to regional models. As Director of the Center for Water Health and Humans, Dr. Sipler leads interdisciplinary research from the Arctic to Antarctic, investigating runoff impacts on aquatic systems and collaborating with industry to optimize water treatment. Her team's experimental approaches bridge molecular-level analyses with ecosystem-scale processes, emphasizing practical applications for coastal communities facing environmental change.

• Public Law
• European Union Law
• International Trade Law
• +۳ مورد دیگر

Manuel Fontaine Campos serves as Associate Professor at the Faculty of Law of the Catholic University of Portugal (UCP), where he has held directorial responsibilities since 2013 and previously served as Vice-President of UCP's Porto Regional Center (2017-2021). His academic journey includes a Law degree (1996), Master's in Political Science (1999), and Doctorate in Law (2012), all from UCP. His research focuses on Public Law , European Union Law , and International Trade Law , with particular expertise in State Aid regulation, constitutional interpretation, and EU competition policy. His publication record spans over two decades, including commentaries on Portugal's Civil Code and Constitution, analyses of EU regulatory frameworks, and historical studies of international trade regulations. Professionally, he has held visiting positions at universities in Mozambique, Macau, Spain, and Portugal, and contributes to legal discourse through scholarly publications and expert opinions. His teaching portfolio includes International Trade Law, Public Law, and European Economic Law modules across multiple UCP degree programs. As both academic and practitioner (having worked as a lawyer and legal consultant), Campos bridges theoretical scholarship with practical legal application, particularly in EU regulatory compliance and constitutional interpretation. His current work continues to influence Portuguese legal scholarship through ongoing publications and institutional leadership.

Giorgia Ramponiمشاهده پروفایل

استادیار

• Machine Learning
• Mathematical Modelling
• Reinforcement Learning
• +۳ مورد دیگر

Giorgia Ramponi is an Assistant Professor with Tenure Track at the Faculty of Business, Economics and Informatics at the University of Zurich. She is also an affiliated professor at the ETH AI Center and the Data Science and AI, Computer Science and Engineering department at Chalmers University of Technology. Her educational background includes a Ph.D. in Information Technology from Politecnico di Milano (completed June 2021 with honors), advised by Marcello Restelli, and a Master of Science in Computer Science with Honours Programme (110/110 cum laude) from la Sapienza (July 2017), advised by Flavio Chierichetti and Alessandro Panconesi. Dr. Ramponi's research focuses on machine learning and mathematical modeling, with particular emphasis on reinforcement learning and multiagent learning. Her work bridges theoretical foundations with practical applications, exploring how learning algorithms can make optimal decisions in complex environments. She has made significant contributions to areas including inverse reinforcement learning, multi-agent systems, constrained Markov decision processes, and human-AI interaction through preference learning. Her recent publications demonstrate a strong trend toward addressing fundamental challenges in reinforcement learning, particularly in multi-agent settings, constrained optimization, and learning from human feedback. Her work combines theoretical rigor with practical applications across robotics, economics, and decision-making systems. Hassler Research Grant for "Unified Feedback Integration Framework for Reinforcement Learning" Dr. Ramponi actively contributes to the academic community through conference participation, invited lectures (including at the Mediterranean Machine Learning Summer School), and teaching. She designed and taught the "Data Science and Machine Learning" course for the ETH-Ashesi Master program. She is also a member of the ELLIS community, which connects excellence in AI research across Europe. Her research group focuses on developing frameworks for reinforcement learning with various feedback types, including preferences, rewards, and demonstrations. The group aims to advance the theoretical understanding of learning algorithms while addressing practical challenges in real-world applications.

• Operational Research
• Logistics
• Stochastic Optimization
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

Christopher Heartyمشاهده پروفایل

استاد

• Experimental Particle Physics
• Physics beyond the Standard Model
• Dark sector
• +۵ مورد دیگر

Christopher Hearty is a Professor in the Department of Physics & Astronomy at the University of British Columbia (UBC), Faculty of Science, and serves as an IPP (Institute of Particle Physics) Principal Research Scientist. His office is located in Hennings 268 with laboratory space at TRIUMF/Hennings 222, where he conducts cutting-edge experimental particle physics research using major international facilities. Hearty earned his B.Sc. in Mathematics and Physics from Simon Fraser University (1982), followed by a Ph.D. in Physics from the University of Washington (1987). He completed postdoctoral research at Lawrence Berkeley National Laboratory from 1987 to 1994 before joining UBC. B.Sc., Mathematics and Physics, Simon Fraser University, 1982 Ph.D., Physics, University of Washington, 1987 Postdoctoral Researcher, Lawrence Berkeley National Laboratory, 1987-1994 His research program focuses on direct searches for physics beyond the Standard Model through e+e- collisions, with particular emphasis on dark sector phenomena including dark photons, axion-like particles, and strongly interacting dark matter. As a key contributor to the Belle II experiment, he develops advanced calorimeter calibration techniques, reconstruction algorithms, and trigger systems while mentoring students in machine learning applications for large-scale data analysis. His work bridges theoretical phenomenology with experimental verification in the search for new fundamental particles. Recent publications demonstrate a concentrated effort on dark sector exploration at Belle II, featuring innovative approaches like graph neural networks for photon reconstruction and sophisticated analysis of displaced vertices. The research spans both visible and invisible decay channels, significantly advancing constraints on dark matter models while establishing Belle II's sensitivity to elusive particles through precision measurements of e+e- collision data. Hearty's scientific recognition includes: APS Fellow (2015) Breakthrough Prize in Fundamental Physics (2016) as part of the T2K collaboration He actively supervises graduate students on thesis projects spanning dark photon searches, axion-like particle detection, and detector development, while serving on UBC's teaching peer review committee and as LHCb chief reviewer for CERN's LHCC committee. His mentorship provides students with hands-on experience in international collaborations, detector instrumentation, and advanced data analysis techniques. Based at TRIUMF Canada's particle accelerator centre and UBC's Department of Physics & Astronomy, Hearty leads a research group within the global Belle II collaboration. His team contributes to multiple detector subsystems including calorimetry and tracking systems, while developing novel analysis frameworks for new physics signatures in high-energy collision data.

Rana Adhikariمشاهده پروفایل

استاد

• Gravitational Waves
• Dark Matter Detection
• Quantum Metrology
• +۶ مورد دیگر

Rana Adhikari is a Professor of Physics at the California Institute of Technology (Caltech). Holding a B.S. from the University of Florida (1998) and a Ph.D. from MIT (2004), he has been at Caltech since 2006, progressing from Assistant Professor to full Professor in 2012. His research focuses on advancing detector technologies for fundamental physics experiments in gravitational waves, dark matter, and near-field gravity studies. Education: B.S. in Physics, University of Florida (1998); Ph.D. in Physics, MIT (2004) Caltech Faculty: Assistant Professor (2006-12), Professor (2012-present) Adhikari's group specializes in precision measurements at the intersection of classical and quantum physics. Key research areas include: Mechanical oscillators and their thermodynamic limits Nonlinear optics for interferometric applications Quantum information constraints in classical sensors Adaptive optics using thermal actuation Cryogenic silicon interferometers for cosmological observations High-quality silicon opto-mechanical systems for LIGO applications Laser gyroscope technology for rotation sensing The group's work on gravitational wave detection has produced numerous publications in leading journals like Physical Review X , Physical Review D , and Optics Express . Their research often combines experimental physics with machine learning techniques for noise cancellation in laser interferometers. Adhikari's team also engages with undergraduate researchers through programs like the International LIGO SURF students, creating opportunities for young scientists in gravitational physics. His publications reveal a consistent focus on gravitational wave detector optimization, quantum metrology, and cosmological observations through advanced instrumentation.

Ben K. Grunwaldمشاهده پروفایل

استاد

• criminal law
• criminal procedure
• constitutional law
• +۴ مورد دیگر

Ben K. Grunwald serves as Professor of Law at Duke University School of Law, where he has been a faculty member since 2017 after completing a Bigelow Fellowship at the University of Chicago Law School. His scholarly work bridges legal theory and empirical analysis to address critical issues in criminal justice systems. JD, PhD in Criminology, AM in Statistics, and BA from the University of Pennsylvania Clerked for the Honorable Thomas Ambro on the U.S. Court of Appeals for the Third Circuit Bigelow Fellow at the University of Chicago Law School (2016-2017) Professor Grunwald's research program centers on evidence-based criminal justice reform, with particular emphasis on prosecutorial power dynamics, sentencing fairness, juvenile justice boundaries, and police accountability mechanisms. His methodological approach integrates advanced statistical techniques with legal scholarship to produce actionable insights for policymakers. Current projects examine racial bias in criminal records, optimal decarceration strategies, and the labor market consequences of police discipline. His recent publications demonstrate a consistent focus on translating empirical findings into practical legal reforms, particularly in law enforcement practices and juvenile justice systems. Through interdisciplinary collaborations with criminologists and statisticians, his work challenges conventional wisdom using rigorous data analysis while maintaining strong connections to constitutional principles and procedural justice. Professor Grunwald teaches foundational courses including Criminal Law and Criminal Procedure: Investigation, along with specialized seminars in Criminology and Criminal Procedure that emphasize empirical methodologies. His curriculum development reflects his commitment to training future lawyers in evidence-based legal practice and policy analysis.

Dimitris Papanikolaouمشاهده پروفایل

استاد

• Asset Pricing
• Macroeconomics
• Innovation
• +۲ مورد دیگر

Dimitris Papanikolaou serves as the John L. & Helen Kellogg Professor of Finance at Northwestern University's Kellogg School of Management and is a Research Associate of the National Bureau of Economic Research (NBER). His research critically examines the nexus between technological innovation and financial markets, with recent contributions spanning intangible capital measurement, innovation's impact on labor dynamics, executive markets, and financial frictions. Education: PhD in Financial Economics, Massachusetts Institute of Technology (2007) MS in Finance and Economics, London School of Economics (2001) BA in Economics and Finance, University of Piraeus (2000) Papanikolaou's research program centers on Asset Pricing , Macroeconomics , Innovation , Economic Growth , and Intangible Capital . He pioneers methodologies for quantifying innovation through textual analysis of patents while investigating how technological advances reshape financial markets and labor outcomes. His work reveals critical insights into human capital displacement, the economic value of intangibles, and the causal mechanisms linking financial constraints to innovation efficiency, employing rigorous empirical designs including natural experiments and administrative datasets. Analysis of his recent publications shows a pronounced interdisciplinary trajectory, merging finance, labor economics, and innovation studies through cutting-edge techniques like NLP and big data analytics. Key thematic clusters include AI's labor market effects (examining task exposure and wage dynamics), creative destruction measurement (using text-based innovation displacement metrics), and intangible capital's macroeconomic role (exploring firm scope, concentration, and growth implications). These works consistently establish causal relationships through exogenous variation in innovation shocks and patent data. Scientific recognition includes: Kellogg Research Mentorship Award Best Paper Award, London Business School Finance Symposium (2018) Best Paper Award, Red Rock Finance Conference (2017) Crowell Memorial Prize (second place), Panagora Asset Management Amundi Smith Breeden Prize, American Finance Association (2014 and 2013) Roger F. Murray Prize (second place), The Q Group (2011) As Co-Editor of the Journal of Financial Economics and former editorial board member for Management Science, the Journal of Finance, and the Review of Financial Studies, Papanikolaou shapes scholarly discourse in finance. His mentorship excellence—recognized by the Kellogg Research Mentorship Award—demonstrates commitment to developing next-generation scholars, though specific grant details remain undisclosed in available materials. Collaborative research networks with leading economists like Kogan, Schmidt, and Eisfeldt drive his high-impact publications. Papanikolaou's research ecosystem involves extensive collaboration with interdisciplinary teams leveraging computational methods for innovation measurement. Current projects focus on AI-labor market interactions and intangible capital dynamics, often utilizing proprietary patent datasets and administrative worker records to generate policy-relevant insights about technological disruption and market efficiency.

Vanesa Miseresمشاهده پروفایل

دانشیار

• 19th Century Latin American Literature
• Early 20th Century Latin American Literature
• Travel Writing
• +۹ مورد دیگر

Vanesa Miseres is an Associate Professor of Spanish in the Department of Romance Languages and Literatures at the University of Notre Dame's College of Arts and Letters. Her academic home is complemented by affiliations with the Gender Studies Program, and fellowships at both the Nanovic Institute for European Studies and the Kellogg Institute for International Studies. Currently serving as Associate Editor for the Latin American Research Review (the academic journal of LASA), Professor Miseres maintains an active scholarly profile that bridges literary criticism, gender studies, and historical analysis. Professor Miseres earned her Ph.D. and M.A. from Vanderbilt University and completed her undergraduate studies at Universidad Nacional de Rosario in Argentina. Her research focuses on nineteenth- and early twentieth-century Latin American literature with specializations in travel writing, war literature, women writers, gender studies, food studies, and the intersections of women and science. Her work demonstrates particular expertise in analyzing how women navigated cultural and intellectual spaces during periods of social transformation. Her scholarly output reveals a consistent thread examining how women's writings challenged conventional gender roles and national narratives. Through her analysis of travelogues, war narratives, botanical knowledge, and domestic practices, Miseres illuminates how women created intellectual networks and shaped cultural discourse despite societal constraints. Her recent publications increasingly explore the connections between material culture, visual representation, and women's intellectual production. Professor Miseres's work has been recognized with prestigious awards including the 2018 Alfredo Roggiano Prize for Latin American Literary Criticism and an Honorable Mention for the Victoria Urbano Critical Monograph Prize. She has also received significant research support through a Mendel Fellowship from the Lilly Library, a Global Gateway Faculty Research Award from Notre Dame, and a Humboldt Fellowship for Experienced Researchers. Currently, Professor Miseres collaborates with Anthropology Professor Vania Smith-Oka on a project empowering Latinx women who experienced violence during pregnancy and childbirth through art and literature. This initiative, supported by Humanities Without Walls and the University of Notre Dame, has been selected by the Franco Institute for its New Research Innovation Collaboratives and has received additional support from the Notre Dame Arts Initiative.