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Pablo PintoView profile

Professor

• Political Economy
• Globalization
• Fiscal Policy and Taxation
• +10 more

Pablo Pinto is a Distinguished Professor at the Hobby School of Public Affairs, University of Houston, where he also serves as Director of the Center for Public Policy. He holds a Ph.D. in Political Science and International Affairs from the University of California, San Diego, an M.A. from Aoyama Gakuin University in Japan, and a law degree from Universidad Nacional de La Plata, Argentina. He previously served on the faculty at Columbia University and was Associate Professor in the Department of Political Science at the University of Houston (2014–2017). Education: Ph.D., Political Science and International Affairs, University of California, San Diego M.A., Aoyama Gakuin University, Japan Law Degree, Universidad Nacional de La Plata, Argentina His research focuses on the political economy of globalization, examining how interactions between economic agents and governments shape fiscal policy, taxation, political representation, and public opinion. His expertise includes international and comparative political economy, quantitative methods, and policy analysis, with regional focus on Latin America, East Asia, and U.S. subnational politics. He employs formal modeling, quantitative analysis, and historical narratives to study foreign direct investment, economic integration, and voter behavior. The body of his scholarly work reveals a strong emphasis on the impact of multinational corporations on domestic policy, the determinants of taxation in federal systems, and the formation of individual policy preferences in a globalized world. His publications span top journals in political science and international relations, reflecting interdisciplinary rigor and methodological sophistication. Scientific Awards: 2016 Midwest Political Science Association Award for Best Paper in International Relations Bruce Russett Award for Best Article in the Journal of Conflict Resolution (2022) Pinto has advised numerous academic initiatives and research programs through his leadership roles. He served as co-editor of Economics & Politics from 2017 to 2022 and has held visiting appointments at institutions including New York University, Rice University’s Baker Institute, and the Saltzman Institute at Columbia. He has received research grants supporting work on foreign direct investment, fiscal federalism, and political behavior, though specific grant titles are not listed in the source text. His leadership in founding the Department for Asia-Pacific Studies at Universidad Nacional de La Plata highlights his commitment to institutional development. He is affiliated with several research centers and academic networks, including the Center for Public Policy at the Hobby School, where he leads interdisciplinary research on public policy challenges. His work bridges academia and policy practice, informed by his prior role as Chief Counsel for Toyota Argentina (1996–1998).

Rudolf HanelView profile

Associate Professor

• Complex Systems
• Statistical Physics
• Non-Equilibrium Thermodynamics
• +12 more

Rudolf Hanel is an Associate Professor at the Medical University of Vienna and a faculty member at the Complexity Science Hub. His interdisciplinary research bridges theoretical physics, complex systems, medical imaging, and socio-economic modeling. He is deeply involved in advancing the foundations of statistical mechanics and non-equilibrium thermodynamics. His research interests include complex systems, non-equilibrium thermodynamics, information theory, medical robotics, and social physics. He investigates how systems evolve far from equilibrium, focusing on phase transitions, tipping points, and the emergence of structure. His work applies these principles to diverse domains such as firm dynamics, social cohesion, and pandemic response. The recent trend in his publications reveals a strong focus on generalized entropy, sample space reduction, network-based social modeling, and practical applications in public health. His articles span foundational physics, computational medicine, and socio-economic systems, reflecting a unifying framework of complexity science across disciplines. Thermodynamics of driven systems Generalized entropy and information theory Social fragmentation and homophily Pooled testing for pandemics Firm performance via information consumption Structure-forming systems Rudolf Hanel has received no explicitly mentioned scientific awards in the provided text. He has not been stated to advise any formal students, though he collaborates widely with researchers such as Stefan Thurner, Jan Korbel, and Peter Klimek. He has contributed to major interdisciplinary grants and projects, particularly through the Complexity Science Hub, including work on pandemic testing strategies and economic modeling. He is a key member of the Complexity Science Hub, where he collaborates on foundational and applied research in complex systems. The Hub serves as a central platform for his work in integrating physics-inspired models into social, biological, and economic systems.

• Vector Ecology
• Agricultural Pests
• Entomological Surveillance
• +5 more

Dr. Carlos Barceló Seguí is an Associate Professor at the University of the Balearic Islands (UIB) Department of Biology, with significant contributions to entomology, parasitology, and vector ecology. His research focuses on medically and agriculturally important Diptera species, particularly Culicoides (bluetongue vectors) and Aedes albopictus (tiger mosquito). He earned a Biology degree (2011) and Marine Ecology Master's (2014) from UIB, completing his PhD in Biotechnology (2019) on Culicoides seasonality. University of the Balearic Islands (Biology, 2011) University of the Balearic Islands (Marine Ecology, 2014) University of the Balearic Islands (Biotechnology, 2019) His research interests include: Vector ecology and bionomics Surveillance of invasive insects Pathogen transmission dynamics Entomological monitoring systems Impact of climate change on vector distribution Development of control strategies for agricultural pests Research projects include participation in EU initiatives like EDENext, FruitFlyNet, and VectorNet, alongside national programs targeting vector-borne diseases. He has contributed to studies on Wolbachia presence in Stomoxyini flies, malaria risk modeling via Anopheles distribution, and machine learning approaches for Culicoides abundance prediction. Teaching spans parasitology, zoology, agricultural pests, and biodiversity assessment across five academic programs at UIB. His technical expertise involves DNA barcoding, SEM sample preparation, and vector behavior analysis.

Gabi SchierningView profile

Researcher

• Thermoelectric Materials
• Quantum Transport
• Topological Insulators
• +1 more

Dr. Gabi Schierning is a researcher in the Thermoelectric Materials and Devices department at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden). Her work focuses on quantum transport phenomena in thermoelectric nanomaterials, particularly three-dimensional topological insulators like Bi 2 Te 3 , Sb 2 Te 3 , and Bi 2 Se 3 . Her research leverages nanoparticle-based materials design to study surface-state transport in topological insulators. By creating highly porous macroscopic samples, she enables comparative analysis of surface and bulk carrier densities. The sintered nanoparticle structure imposes energetic barriers for bulk carriers while maintaining 3D percolation paths for surface carriers.

Josep Maria Porta PleiteView profile

Researcher

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +7 more

Josep Maria Porta Pleite is an Associate Researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). He leads the Kinematics and Robot Design (KRD) research group and has been actively contributing to robotics and computational kinematics since 2007. His work bridges theoretical algorithm development and practical applications in robotics, molecular biology, and environmental toxicology. Porta’s research spans motion planning , robot kinematics , SLAM , and planning under uncertainty . He has made significant contributions to solving complex kinematic problems in closed-chain systems and molecular conformational spaces. His work often involves developing efficient algorithms and open-source software tools such as the CuikSuite , Cuik-KDtree , and Pose SLAM , which are widely used in robotics research. His recent publications (2019–2025) reveal a strong trend toward interdisciplinary applications, particularly in zebrafish behavioral analysis and neurotoxicology , where computational methods are applied to assess environmental contaminants. He also continues to advance core robotics problems, including trajectory optimization, hand-eye calibration, and closed-form solutions in rotation geometry. His work appears in top-tier journals such as IEEE Transactions on Robotics , Mechanism and Machine Theory , and Science of the Total Environment . Porta has served as an associate editor for IEEE Transactions on Robotics (2015–2018) and has supervised numerous students and collaborators. He has led long-term software development efforts and secured research funding through national and European projects. Scientific Contributions: Lead developer of the CuikSuite for motion analysis of closed-chain systems. Coordinator of the KRD research group since 2011. Contributor to ambient intelligence and robot localization during his postdoc at the University of Amsterdam. He advises multiple students in robotics, computer vision, and biomedical applications, and his team develops tools for path planning, singularity analysis, grasp optimization, and molecular modeling. There is no indication of part-time status, retirement, or former affiliation.

Jingjie YeoView profile

Assistant Professor

• Computational Materials Science
• Engineered Living Materials
• Multiscale Modeling
• +17 more

Prof. Jingjie Yeo is an Assistant Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University and the Principal Investigator of the J² Lab for Engineering Living Materials. His research integrates computational modeling, machine learning, and biomaterials to design sustainable, adaptive materials for healthcare and environmental applications. He is also a co-instructor at Station1, a nonprofit advancing socially-directed STEM education. Ph.D. and B.Eng., Nanyang Technological University, Singapore Postdoctoral training, Tufts University and Massachusetts Institute of Technology Research Scientist, Institute of High Performance Computing, Singapore Prof. Yeo’s research focuses on computational design of engineered living materials , particularly bacteria-based systems and biopolymers. His lab employs multiscale simulations —from quantum mechanics to continuum modeling—and integrates machine learning and materials informatics to accelerate discovery. Key areas include nanomechanics of mucus-bacteria interactions, mucoadhesive biomaterials, sustainable materials, and living materials for gut health and infrastructure. The lab pioneers AI-driven frameworks for materials-by-design, aiming to advance a "Materials 4.0" paradigm. The lab’s recent publications reveal a strong trend in AI-enhanced materials discovery , bio-inspired soft materials , and biomechanical modeling of biological systems . Themes include antimicrobial surfaces, solid electrolytes, hydrogels, and sustainable carbon materials. The work is highly interdisciplinary, combining physics, biology, and computation. Notable scientific awards include: NSF CAREER Award (2024) Dennis G. Shepherd Excellence in Teaching Award, Cornell College of Engineering (2023) ASME Rising Star in Mechanical Engineering Emerging Investigator, Journal of Materials Chemistry B (2020) Multiple NSF grants including EFRI and Convergence Accelerator awards Prof. Yeo has advised numerous PhD, MS, and undergraduate students , including the lab’s first PhD graduates, Drs. Haoyuan Shi and Tianjiao Li. His research is supported by NSF, Cornell, and international seed grants . He serves on editorial boards for STEM Education and International Journal of AI for Materials and Design , reflecting his dual commitment to research and education innovation. The J² Lab is part of the Cornell Engineered Living Materials Institute and collaborates with researchers at MIT, Montana State University, Zhejiang University, and others. The lab emphasizes interdisciplinary teamwork, computational rigor, and socially impactful science.

• Groundwater Ecohydrology
• Hydro-geological Engineering
• Watershed Management
• +7 more

Ali Ameli is an Assistant Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC). He leads the HydroGeoScience for Watershed Management (HGS-WM) Research Group and is affiliated with the Institute of Applied Mathematics. His work focuses on understanding water and solute movement in watersheds, climate impacts, and land-use alterations to inform sustainable water management. Education: PhD in Geological Engineering (University of Waterloo, 2015), followed by postdoctoral research at the University of Saskatchewan and Uppsala University. Research Interests: Groundwater Ecohydrology, Hydro-geological Engineering, Watershed Management, Applied Hydro-geochemistry, Statistical Machine Learning. Recent projects include modeling water table dynamics via machine learning, snowmelt partitioning under climate variability, and interdisciplinary approaches for water security assessments. Supervision & Collaboration: He supervises graduate students in MSc and PhD programs and collaborates with agencies like water conservation organizations. Active in mentoring visiting researchers and co-op students, he emphasizes experiential learning through internships and placements. Affiliations: Institute of Applied Mathematics (UBC), leadership in interdisciplinary water research initiatives, and global collaborations with geochemists and ecologists.

Gabriel STOLTZView profile

Professor

• Computational Statistical Physics
• Molecular Dynamics
• Mathematical Analysis
• +4 more

Professor Gabriel Stoltz is a faculty member at École des Ponts ParisTech, affiliated with the Mathematical and Computer Engineering department. His research focuses on mathematical and numerical analysis of models in molecular simulation, with an emphasis on computational statistical physics. He holds a joint position as a senior researcher at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique). His work integrates techniques from probability theory, stochastic processes, functional analysis, and numerical analysis. He has contributed extensively to free energy computation methods, variance reduction techniques, and the development of machine learning approaches for enhanced sampling in molecular dynamics. Notable collaborations include projects with Tony Lelièvre and Mathias Rousset on free energy calculations and with institutions like Institut Henri Poincaré. Teaching responsibilities include courses on computational statistical physics, machine learning, and scientific computing. His pedagogical approach emphasizes flipped classrooms, supported by publications detailing innovative teaching methods. Key research themes include: Statistical mechanics and stochastic processes Numerical methods for partial differential equations Machine learning applications in molecular dynamics Quantum chemistry and electronic structure calculations His contributions span over 100 peer-reviewed articles, including seminal works on Langevin dynamics, hypocoercivity, and adaptive biasing algorithms. He has served as an editor for Springer Proceedings and co-authored influential textbooks such as Free Energy Computations .

Tomáš SkřivanView profile

Research Fellow

• Physics Simulation
• Computer Graphics
• Numerical Methods
• +3 more

Tomáš Skřivan serves as a Research Fellow at the Hoskinson Center for Formal Mathematics , Carnegie Mellon University. His work bridges formal mathematics with practical scientific computing through the development of the SciLean library in Lean 4, targeting enhanced reliability in machine learning and simulation software. Skřivan's research spans interdisciplinary domains with core emphases on: Physics-based simulation of fluid dynamics and wave phenomena Computer graphics algorithms for light transport and rendering Formal verification techniques applied to numerical methods Mathematical modeling of viscoelastic materials His publication trajectory since 2016 reveals evolving expertise from computational fluid dynamics (water wave simulation, viscoelastic modeling) toward formal methods in scientific computing, consistently merging theoretical rigor with practical implementation. Recent work on SciLean represents a strategic pivot toward verified software foundations. As a key contributor to the Hoskinson Center's mission, Skřivan collaborates on projects leveraging proof assistants to eliminate errors in scientific code. The center, established through Charles Hoskinson's support, pioneers mathematically guaranteed correctness in computational science through formal verification frameworks.

Omri Ben-EliezerView profile

Senior Lecturer

• Sublinear-Time Algorithms
• Algorithms and Society
• Privacy in Machine Learning
• +3 more

Omri Ben-Eliezer is a Senior Lecturer (Assistant Professor) and Taub Fellow at the Faculty of Computer Science in the Technion — Israel Institute of Technology. He holds a PhD from Tel Aviv University (2020, supervised by Noga Alon), followed by postdoctoral positions at the Weizmann Institute (hosted by Moni Naor), Harvard University (mentored by Madhu Sudan), and a research fellowship at the Simons Institute. He also served as an instructor in applied mathematics at MIT. His research focuses on the theoretical and algorithmic foundations of big data, including sublinear-time algorithms, privacy in machine learning, beyond worst-case analysis, and complex networks. He has contributed to topics such as adversarial robustness, approximation algorithms, and knowledge representation. Ben-Eliezer's work spans algorithm design and analysis, with notable awards including the PODS 2020 Best Paper Award and the 2021 ACM SIGMOD Research Highlight Award. His publications appear in top venues like FOCS, SODA, and ITCS, and he frequently serves on program committees for conferences such as FOCS and PODS. He actively mentors students interested in algorithmic research bridging theory and practice and is affiliated with multiple academic institutions and collaborative projects.

Aaron JohnsonView profile

Professor

• Robotics
• Legged and Aerial Robotics
• Bioinspired Robotics
• +12 more

Aaron Johnson is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he directs the Robomechanics Lab . He also holds courtesy appointments in the Robotics Institute and the Department of Electrical & Computer Engineering. His research focuses on enabling robots to operate robustly in complex, real-world environments through innovations in robot design, control, and interaction dynamics. Ph.D., Electrical & Systems Engineering, University of Pennsylvania (2014) B.S., Electrical & Computer Engineering, Carnegie Mellon University (2008) Johnson’s research interests lie at the intersection of legged robotics, adaptive control, bioinspired design, and physics-based planning . He investigates how robots can intelligently interact with unstructured environments—such as rocky terrain, cluttered homes, or industrial sites—by integrating mechanical design, sensor feedback, and intelligent control. His lab develops platforms like Zippy (the world’s smallest bipedal robot) and Picotaur , and works on dynamic behaviors including climbing, jumping, and navigating entanglements. The most recent publications highlight a strong trend in hybrid dynamical systems, robust state estimation, terrain-aware navigation, and ethical considerations in robotics . His group advances techniques in contact-implicit control, MPC, Kalman filtering for hybrid systems, and field deployment of autonomous robots for environmental monitoring. Themes of scalability, energy efficiency, and bioinspiration recur across the work. Johnson has received several prestigious awards: NSF CAREER Award (2020) Army Research Office Young Investigator Award (2019) Best Workshop Paper Award at ICRA 2022 (Quad-SDK) David Thuma Laboratory Project Award (2008) Honorable mention, CRA Outstanding Undergraduate Award (2008) He actively mentors students through his graduate course 24-775 Robot Design & Experimentation and lab outreach programs, including partnerships with Gwen’s Girls. He has secured grants for fielding legged robots in real-world applications, such as soil contamination sampling and hill climbing. Johnson co-organizes the CMU Locomotion Seminar and is committed to diversity, equity, and inclusion in robotics, co-authoring the Black in Robotics Reading List and advocating for ethical research practices. The Robomechanics Lab emphasizes ethical research, academic reform, equitable access, and community support. It develops full-stack frameworks like Quad-SDK and conducts field experiments in diverse environments—from deserts to power plants—pushing the boundaries of where robots can go and what they can do.

Yang GaoView profile

Professor

• Robotics
• Autonomous Systems
• Space Engineering
• +5 more

Professor Yang Gao is a Professor of Robotics and Head of the Centre for Robotics Research at King's College London's Department of Engineering. She specializes in robotic sensing, autonomous systems, and biomimetic mechanisms for space and extreme environments. Her work spans space missions like ESA ExoMars and lunar exploration projects, with applications in nuclear, agriculture, and utilities. She leads the international robotics community as Editor-in-Chief of the Journal of Field Robotics and mentor for UN Space4Women. Education : B.Eng. (First Class Honours), Nanyang Technological University, Singapore (2000) Ph.D., Nanyang Technological University, Singapore (2003) Research Interests : Robotic sensing & perception, visual guidance systems, biomimetic mechanisms, and space robotics for extreme environments. Her work bridges AI-driven robotics with real-world applications in space exploration and industrial sectors. Publications : Over 150 peer-reviewed articles focus on autonomous systems, space robotics, and AI integration. Recent work includes terrain classification for Mars rovers, lunar ice detection, and energy-efficient path planning for mobile robots. Awards : Fellow of Institute of Engineering and Technology (FIET) Fellow of Royal Aeronautical Society (FRAeS) Mulan Award (2019) Grants & Leadership : Principal Investigator on £10M+ projects funded by ESA, UK Space Agency, and industry. Founded the STAR LAB and Ai4SPACE Ltd to commercialize robotics tech. Advises on UN space programs and industry initiatives. Labs & Teams : Leads the Centre for Robotics Research at KCL, previously directed the multi-award winning STAR LAB at the University of Surrey (2004-2023).

Artur WolekView profile

Assistant Professor

• Robotics
• Control Systems
• Aerospace Engineering
• +7 more

Artur Wolek is an Assistant Professor in the Department of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte. He is a resident faculty member of the NC Battery Complexity, Autonomous Vehicle and Electrification Research Center (BATT CAVE) and an affiliate faculty member of the Charlotte Aviation Innovation and Research Institute (Charlotte AIR). His Honors Faculty status (term ending June 30, 2030) underscores his academic distinction. Wolek earned his B.S. and Ph.D. in Aerospace Engineering from Virginia Tech (2010 and 2015). He held postdoctoral roles at the U.S. Naval Research Laboratory (2015-2018) and the University of Maryland (2018-2020), and was an Adjunct Lecturer at Catholic University of America (2017-2018). He joined UNC Charlotte in 2021 and founded the Autonomous Robots and Systems Laboratory (ARSL). His research focuses on autonomous systems, including aerospace and marine robotics, optimal motion planning, multi-robot coordination, and trajectory optimization. Key areas include vehicle dynamics and control, path planning in complex environments, and adaptive data collection. His work has been supported by NSF, AFOSR, and other agencies. Wolek teaches courses in dynamics, robotics, and aerospace engineering. He is a Senior Member of AIAA and IEEE, and actively publishes over 55 peer-reviewed articles. His lab locations include Duke Centennial Hall and BATT CAVE Research Building.

Christopher KittsView profile

Professor

• Robotics
• Multi-robot Systems
• Control Systems
• +7 more

Christopher Kitts is the William and Janice Terry Professor of Mechanical Engineering at Santa Clara University's School of Engineering, where he also serves as Associate Dean of Research and Faculty Development and Faculty Director of the Ciocca Center for Innovation and Entrepreneurship. His external appointments include Associate Researcher at the Monterey Bay Aquarium Research Institute (MBARI) and Visiting Researcher at Lawrence Livermore National Laboratory, reflecting his interdisciplinary work in field robotics. He earned his Ph.D. and M.S. in Mechanical and Aerospace Engineering from Stanford University, M.P.A. in International & Defense Policy from the University of Colorado, and B.S.E. in Mechanical & Aerospace Engineering from Princeton University. Prof. Kitts' research centers on field robotics for scientific discovery and education, with key focus areas: Multi-robot systems design and coordination Collaborative Human/Cobot Control architectures Model-Based Anomaly Management for spacecraft Advanced robotic platforms for underwater, terrestrial, aerial, and space environments His recent publications (2022-2025) demonstrate growing emphasis on human-robot interaction through transformer networks and emotion detection, alongside continued innovation in marine robotics and adaptive navigation for environmental monitoring. Scientific recognition includes: ASME Fellow and AIAA Associate Fellow Multiple Santa Clara University awards across teaching, research, and service NASA Group Achievement Awards (8 total) Industry honors including Edison Innovation Award and AIAA National Award His program has secured tens of millions in funding from government agencies and industry partners for student-operated NASA spacecraft missions and MBARI marine robotics projects, resulting in documented scientific discoveries like tsunami wave evidence in Lake Tahoe. He directs the Robotic Systems Laboratory and Santa Clara's Maker Lab, creating hands-on educational frameworks that integrate entrepreneurial thinking with engineering practice.

Roger BeechamView profile

Associate Professor

• Data Visualization
• Spatial Statistics
• Transport Analytics
• +6 more

Roger Beecham is Associate Professor in Visual Data Science at the School of Geography, University of Leeds, and Director of Research & Innovation at the Leeds Institute for Data Analytics (LIDA). He co-leads LIDA's Visualization and Science of Data Science programmes and serves as Programme Leader for GISc Distance Learning. His academic home resides within the Faculty of Environment, where he bridges geographical analysis with cutting-edge data science methodologies. His research spans Data Visualization, Spatial Statistics, and Applied Data Science across transport, health, crime science, and political geography domains. Beecham develops visualization techniques for analyzing large social science datasets, with particular focus on uncertainty quantification and methodological rigor. His work addresses the 'Forking Paths' problem in data analysis and promotes transparent scientific practices through visual analytics. Current projects include INFUZE (zero-carbon mobility) and SaferActive, funded by EPSRC, ESRC, ERC, NIHR, and Wellcome Trust. Beecham's scholarly contributions manifest in top-tier journals like IEEE TVCG, Accident Analysis & Prevention, and Transport Research Part C. His upcoming 2025 CRC Press book Visualization for Social Data Science synthesizes his methodological innovations. Research outputs demonstrate consistent focus on visual inference frameworks, spatial pattern analysis, and open-source implementation. EPSRC-funded transport safety research Alan Turing Institute Methods Challenge leadership Wellcome Trust health geography projects ERC spatial data science collaborations He supervises doctoral researchers including Juan P. Fonseca-Zamora, Juliana Novaes, and Seán Ó Héir through the SENSE CDT program. Teaching responsibilities include GEOG5009 Visualization for Social Data Science and GISc Distance Learning MSc coordination. Beecham maintains active GitHub repositories demonstrating reproducible research practices and collaborates extensively through the Institute for Spatial Data Science.