جست‌وجوی استاد و پژوهشگر

Carlos Portelaمشاهده پروفایل

دانشیار

• Architected Materials
• Nanomechanics
• Metamaterials
• +۳ مورد دیگر

Carlos Portela is an Associate Professor at the Massachusetts Institute of Technology (MIT) in the Department of Mechanical Engineering under the School of Engineering. His research focuses on architected materials, nanomechanics (static and dynamic), and metamaterials. Ph.D., 2019, California Institute of Technology M.S., 2016, California Institute of Technology B.A., 2013, Physics, University of Southern California B.S., 2013, Aerospace Engineering, University of Southern California Portela's work explores the design, fabrication, and testing of nano-to-macro scale materials, emphasizing advanced computational modeling and dynamic mechanical behavior. His publications highlight trends in 3D architected materials, Poisson's ratio manipulation, and underwater wave focusing applications. Junior Bose Award, 2024 MIT Tech Review 35 Innovators Under 35, 2022 NSF CAREER Award, 2022 Portela leads the Portela Research Group, which investigates energy absorption, supersonic impact resilience, and electrochemical reconfiguration of materials. His group was awarded the J-WAFS seed grant in 2023, and their work has been featured on MIT News, including projects like LIRAS (Nature, 2023) and LIPIT (PNAS, 2024). The group employs innovative fabrication and testing methodologies for static/dynamic loading scenarios.

Joseph Chenمشاهده پروفایل

استاد

• Bacterial Genetics
• Molecular Microbiology
• Cellular Architecture
• +۳ مورد دیگر

Joseph Chen is a Professor of Biology at San Francisco State University (SFSU), affiliated with the College of Science and Engineering since 2006. He holds a B.S. from Harvey Mudd College and a Ph.D. in Microbiology and Molecular Genetics from Harvard University, followed by postdoctoral research at Stanford University's Department of Developmental Biology. His research focuses on bacterial genetics and molecular microbiology, particularly the mechanisms governing subcellular organization in Caulobacter crescentus and Sinorhizobium meliloti . Key interests include protein localization, symbiotic nitrogen fixation, and genetic tool development for bacterial engineering. The Chen Lab investigates how conserved components regulate organelle assembly and host-microbe interactions, with recent work on symbiosis signaling pathways and BR-body fitness mechanisms. Publications emphasize bacterial physiology, including studies on biofilm dynamics, antimicrobial effects, and optical tweezers for cellular manipulation. Collaborative projects include department-wide teaching initiatives to improve scientific education through inclusive curriculum development. Labs/Teams: The Chen Lab at SFSU actively develops genetic tools and explores symbiotic relationships, with ongoing projects on rhizobacteria behavior and metabolic engineering applications.

Joshua Rodenbergمشاهده پروفایل

استادیار

• Sound Art
• Video Art
• Emerging Media Installations
• +۳ مورد دیگر

Joshua Rodenberg is an Assistant Professor and Head of Innovative Media Studios at VCUarts Qatar. He holds a BS from the University of Southern Indiana and an MFA from Virginia Commonwealth University. His work spans sound and video art, immersive installations, and emerging media, emphasizing audiovisual manipulation and interdisciplinary collaboration. Research interests include sound sculpture, digital media, and experimental film. He has exhibited widely, including solo shows at Capital One Extended Media Gallery (2019) and Anderson Gallery (2018), and group exhibitions like Visual Textures (2014) and Animal Mineral Vegetable (2012). Key projects include the Arctic Circle Artist Residency (2024) and collaborations on Coapan En Espera (2019) and Tsenacommacha (2020). Rodenberg received the VCU Quest Fund grant (2024) and has earned awards like Best in Show at the Regional College Art Juried Competition (2014). His work bridges technical innovation and artistic expression, seen in VR games, mobile apps, and sound design for films like Federico Cuatlacuatl’s Tiemperos (2024). Advising and grants highlight his leadership in media arts education. He directs the Innovative Media Studios, fostering creative technical projects. Collaborative initiatives include the Becoming Biodiversity app (2019) and the Celestial Mystic Spirits exhibition (2016).

Pierre-Alain Reynierمشاهده پروفایل

استاد

• Formal Methods
• Verification
• Model-Checking
• +۷ مورد دیگر

Pierre-Alain Reynier is a Professor at Aix-Marseille University, affiliated with the Computer Science department within the Faculty of Science. He is a researcher at the Laboratoire d'Informatique et Systèmes (LIS), a member of the MoVe team, and co-head of the Pôle Calcul division at LIS and the Verification working group of the GDR IM (CNRS). His research focuses on formal methods, verification, automata theory, timed systems, and robustness analysis. He has led or contributed to multiple national and international research projects, including ANR TickTac, ANR DELTA, and FP7 Cassting. Reynier has supervised numerous PhD and Master’s students, contributing to advancements in areas like weighted timed games and data word transducers. His work bridges theoretical computer science with practical applications, emphasizing robust controller synthesis and formal verification tools. He has published extensively in top-tier conferences and journals, with a strong emphasis on algorithmic solutions for complex system analysis. Education and Academic Contributions: While specific educational milestones are not detailed, his career includes doctoral supervision, postdoctoral mentorship, and academic leadership roles. His research spans theoretical foundations and practical implementations, such as tools for Petri net analysis and timed automata verification. Research Interests: His primary areas include formal methods, model-checking, automata theory, transducers, concurrency, and the robustness of timed systems. He explores decidability questions, controller synthesis, and applications of these theories to real-time embedded systems. Advising and Grants: He has supervised over a dozen PhD and Master’s students, many of whom have gone on to academic and industry roles. His projects often involve collaborations with institutions like INRIA, CNRS, and international partners, addressing challenges in distributed and timed systems. Labs and Teams: As part of the MoVe team at LIS, he contributes to collaborative projects on verification and synthesis. His involvement in the Pôle Calcul division highlights his role in advancing computational methods for complex system analysis.

Pulkit Agrawalمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Pulkit Agrawal is an Associate Professor at the Massachusetts Institute of Technology (MIT), holding dual appointments in the departments of Artificial Intelligence and Decision-making (AI+D), Computer Science (CS), and Electrical Engineering (EE) within the School of Engineering. He is a core member of the Embodied Intelligence Community of Research, focusing on advancing intelligent systems that interact with the physical world through robotics, AI, and machine learning. His work emphasizes bridging simulation and real-world applications in robotics, human-robot interaction, and medical technology. Key research areas include reinforcement learning for robotic manipulation, simulation-to-real transfer, and embodied intelligence. Notable projects include developing methods for robust home robot training using real-to-sim-to-real approaches, tactile-driven object retrieval systems, and AI-driven glucose control models for post-surgical care. He also explores ethical AI in healthcare and assistive technologies for cognitive impairment monitoring. Dr. Agrawal’s contributions span robotics hardware design (e.g., DEXOS hand exoskeleton), neuro-inspired algorithms (e.g., grid cell-based map building), and scalable robot learning via crowdsourced environments. His work often integrates interdisciplinary methods from control theory, computer vision, and biomedical engineering. He leads the MIT CSAIL Embodied Intelligence group and collaborates on projects like OpenEQA for embodied question answering and DexHub for large-scale robot data collection. His research has been recognized through promotions within EECS and featured in outlets like MIT News for innovations in home robotics and AI-driven medical solutions. He advises on grants related to intelligent systems and maintains active collaborations across academia and industry.

Wei Liuمشاهده پروفایل

دانشیار

• Natural Language Processing
• Generative AI
• Knowledge Graph Construction
• +۶ مورد دیگر

Associate Professor Wei Liu is a full-time academic in the Department of Computer Science and Software Engineering at The University of Western Australia (UWA), leading the UWA Centre for Natural and Technical Language Processing. Her research focuses on knowledge discovery from natural language text, generative AI, semantic technologies, deep learning for knowledge graphs, and sequential data mining. She holds a PhD from the University of Newcastle (2003) and an MEng from Huazhong University of Science and Technology (China). Research Interests: Generative AI and Large Language Models (LLM) Multimodal Knowledge Graph Construction Human-AI Collaboration Systems Clinical Data Analysis (Ophthalmology) Technical Language Processing for Maintenance Data Neural-Symbolic Computation Recent Work Trends: Her publications emphasize multimodal systems integration, knowledge graph refinement, and adversarial AI applications. Notable 2025 work includes Docs2KG (human-LLM collaboration), Auto-Regressive Diffusion for 3D interactions, and spherical embeddings for logical queries. Scientific Awards: First Prize in IEEE ICDM/ICBK Knowledge Graph Contest (2020) Best Contribution to Science Award at DICTA 2020 2022 Students Choice Award for academic support Advising & Grants: Leads 25 active grants including ARC Training Centres in Critical Resources and Maintenance Data Science. Collaborates with industry partners like Aspire Digital Group and Minerals Research Institute of Western Australia. Labs/Teams: Directs UWA's Natural and Technical Language Processing Centre, focusing on projects like maintenance work order analysis, geological survey data fusion, and clinical data integration in ophthalmology.

Jakub Steinerمشاهده پروفایل

استاد

• Game Theory
• Behavioural Economics
• Information Economics
• +۳ مورد دیگر

Jakub Steiner is a Professor of Economics at the University of Zurich's Faculty of Economics, specializing in Game Theory, Behavioral Economics, and Information Economics. He holds a prestigious ERC Consolidator Grant (BEHAVFRICTIONS, 2018–2023) supporting his research on behavioral frictions in economic decision-making. His work spans theoretical and experimental economics, with recent focus on stochastic growth, bounded rationality, and attention economics. He has advised numerous PhD students, including Maxim Goryunov (EUI Florence), Ludmila Matyskova (University of Alicante), and Kremena Valkanova (ETH Zurich postdoc). Key contributions include frameworks linking stochastic processes to decision theory, models of risk perception, and analysis of optimal test allocation during pandemics. His research has been published in top journals like Econometrica , Journal of Economic Theory , and American Economic Review: Insights . Teaching responsibilities include advanced microeconomics seminars and coordination of interdisciplinary research groups. Current projects explore latent representations in economic data and robust decision-making under uncertainty.

Vaibhav Unhelkarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Vaibhav Unhelkar is an Assistant Professor of Computer Science at Rice University, part of the George R. Brown School of Engineering. He leads the Human-Centered AI and Robotics (HCAIR) group, focusing on developing AI systems that enhance human capability through collaboration. His expertise spans human-robot interaction, interactive machine learning, and human-AI collaboration. Unhelkar holds a PhD in Autonomous Systems from MIT and previously worked at X (formerly Google X). He earned undergraduate degrees from IIT Bombay in Aerospace Engineering. Education: PhD in Autonomous Systems, MIT (2020) MS in Aeronautics & Astronautics, MIT (2015) BTech/MTech in Aerospace Engineering, IIT Bombay (2012) Research Interests: Unhelkar’s work merges AI, robotics, and human factors to create systems that collaborate with humans. Key areas include human-robot teamwork in disaster response, AI coaching for surgical teams, and transparent AI systems. His lab has deployed robots in automotive factories and explores healthcare applications like robotic nurse training. Notable Contributions: RW4T Dataset: Simulated disaster response human-robot interaction data ASTRID: Robotic tutor for healthcare training Received Best Video Award at AAMAS 2022 for work on autonomous agent transparency Labs & Teams: The HCAIR group collaborates with industry and medical experts to address real-world challenges. Ongoing projects include AI-driven team training and explainable AI for medical decision-making.

Claudio Mezzettiمشاهده پروفایل

استاد

• Mechanism Design
• Game Theory
• Auction Theory
• +۴ مورد دیگر

Claudio Mezzetti is the Leverhulme Professor of Industry and Organisation at the University of Warwick. His research focuses on mechanism design, game theory, and auction theory, particularly the design of incentives in markets and organizations to achieve economic efficiency despite information asymmetries and bounded rationality. His work explores sequential auctions, revenue maximization, contractual arrangements in common agency scenarios, and strategic disclosure in innovation markets. He has contributed to understanding bounded rationality in dynamic oligopolies and the evolutionary properties of economic systems. His key research themes include the study of auctions (especially sequential formats), the impact of informational externalities, and the interplay between intellectual property and strategic behavior in patent races. He has also analyzed trust-based mechanisms in artificial intelligence and learning dynamics in non-cooperative games. His publications span leading journals such as Games and Economic Behavior , Econometrica , and Journal of Economic Theory . His current research includes projects on manipulative disclosure, ex-post implementation, and information acquisition in bargaining. Dr. Mezzetti holds a Leverhulme Professorship, reflecting his contributions to the field of industrial organization and mechanism design.

• Microeconomic Theory
• Information Economics
• Dynamic Games
• +۳ مورد دیگر

Dong Wei is an Assistant Professor of Economics at the University of California, Santa Cruz (UCSC), affiliated with the Department of Economics. He holds a Ph.D. in Economics from UC Berkeley (2020). His research focuses on microeconomic theory, particularly in information economics and dynamic games. His work explores topics such as strategic information design, dynamic screening mechanisms, and the interplay between learning costs and persuasion. His recent research trends emphasize applications of game theory to real-world scenarios, including price discrimination frameworks, attention allocation strategies, and trust-building dynamics in anonymous interactions. Notably, he investigates how economic agents strategically manage information, attention, and incentives in complex environments. No scientific awards have been explicitly mentioned in the provided text. His advising and grants activities are not detailed here, but his academic profile reflects active engagement in theoretical economics research. No specific labs or collaborative teams are noted in the current information.

Zhiliang Fanمشاهده پروفایل

استاد

• Biofuels
• Bioproducts
• Metabolic Engineering
• +۱۳ مورد دیگر

Dr. Zhiliang (Julia) Fan is a Professor in the Department of Biological and Agricultural Engineering at the University of California, Davis, College of Engineering. Her research focuses on advancing technologies for producing fuels and chemicals from renewable resources. She leads an active research group dedicated to sustainable bioprocesses and mentors several graduate students. Research Interests: Her primary research areas include metabolic engineering, biocatalyst development, fermentation process development and modeling, and the design and economic evaluation of biological and chemical processes. Current work emphasizes novel pathways for ethanol and isobutanol production from cellulosic biomass, leveraging engineered fungal and bacterial strains. Publication Trends: Analysis of her recent publications reveals a strong focus on utilizing Neurospora crassa and Escherichia coli for bioconversion processes. Key themes include genetic engineering for enhanced sugar and acid production, enzyme characterization, and the development of integrated bioprocesses that bypass costly cellulase addition. Her work bridges fundamental molecular biology with applied industrial biotechnology. Scientific Awards and Recognition: While no personal awards are listed, her student Martin Jeffers has received the Gates Millenium Fellowship, highlighting the excellence of her mentorship. Advising and Grants: Dr. Fan actively mentors PhD and MS students, including Amanda Hildebrand, Jiajie Wang, Peter Russell, Vu Quach, and Martin Jeffers. Her research is supported by projects focused on converting cellulosic biomass and agricultural residues (like almond hulls) into value-added products such as biofuels, protein-rich feed supplements, and chemical intermediates. Laboratory and Research Team: The Fan Research Group includes postdoctoral researchers Bakht Zada and Sumit Sharma, working on genetic engineering and biomass pretreatment, respectively. The lab pursues innovative strategies such as direct conversion of cellulose to sugar acids and solid-state fermentation for feed production, positioning it at the forefront of sustainable biotechnology.

• Programming Languages
• Formal Verification
• Type Systems
• +۵ مورد دیگر

Derek Dreyer is a Professor at the Max Planck Institute for Software Systems, where he leads research in programming languages, formal verification, and type systems. His work bridges theoretical foundations with practical applications, particularly in the verification of systems programming languages. His research focuses on developing rigorous semantic foundations for modern programming languages, with significant contributions to the verification of Rust, separation logic frameworks, module systems, and concurrency models. Dreyer's work combines deep theoretical insights with practical verification techniques, often implemented in proof assistants like Coq. His research spans formal semantics, type theory, program logics, and verification methodologies for both sequential and concurrent programs. Dreyer's publication record shows a consistent focus on foundational verification techniques, with recent work advancing separation logic (Iris framework), Rust verification, multi-language semantics, and novel program logics. His publications in top venues like POPL, PLDI, and ICFP demonstrate both theoretical depth and practical impact in programming language research. Dreyer has established himself as a leading researcher through extensive collaborations with prominent figures in the programming languages community, including Lars Birkedal, Ralf Jung, Robbert Krebbers, and Viktor Vafeiadis. His work often bridges multiple subfields, connecting theoretical concepts with practical verification challenges in systems programming.

John J. Reinersمشاهده پروفایل

استاد

• Cancer Biology
• Signal Transduction
• Photodynamic Therapy
• +۴ مورد دیگر

John J. Reiners is a Professor at Wayne State University, affiliated with the Institute of Environmental Health Sciences within the Eugene Applebaum College of Pharmacy and Health Sciences. His research bridges cancer biology and environmental health, focusing on targeted therapeutics for neurofibromatosis type 1-related tumors and urban air pollution's health impacts. Cancer signaling pathway targeting (N-Ras, AP-1 regulation) Autophagy manipulation in cancer therapy Photodynamic therapy mechanisms (lysosomal damage, ROS) High-resolution air pollution monitoring in Detroit Linking pollution exposure to adverse birth outcomes His work demonstrates interdisciplinary expertise in molecular oncology and environmental toxicology. Current studies examine preterm delivery, gestational diabetes, and hypertension in Detroit cohorts. Collaborative research emphasizes spatial epidemiology and chemotherapeutic synergy. Scientific awards: None explicitly listed. Teaching roles include courses in pharmacology and neuropharmacology. Active research involves collaborations across institutions, with a focus on Detroit's environmental health challenges.

Shy Shohamمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Neural Interfaces
• +۵ مورد دیگر

Shy Shoham is a Professor at New York University, with joint appointments in the Department of Ophthalmology and the Department of Neuroscience. He co-directs the Tech4Health Institute and leads the Neural Interface Engineering Laboratory, which focuses on developing bidirectional neural interfaces to study and manipulate neural activity patterns. His research bridges neuroscience and engineering , aiming to advance medical neurotechnology and decode sensory-motor information coding . His lab’s recent publications highlight innovative work in ultrasound neuromodulation , optoacoustic and fluorescence imaging , and optogenetics . Key trends include non-invasive techniques for functional neuroimaging , infrared neural stimulation , and multimodal imaging systems to study brain dynamics across scales. The lab also explores applications in psychiatry (e.g., treating schizophrenia) and sensory processing (e.g., olfactory circuit analysis). Students in his lab include PhD candidates Tim and Eric. The lab actively engages in collaborative research , with affiliations to NYU’s Tech4Health Institute and Neuroscience Institute . Their work integrates holographic systems and acousto-optic modulation to address challenges in neural activity mapping and therapeutic interventions .

Andrew Kosenkoمشاهده پروفایل

دانشیار

• Microeconomic Theory
• Information Economics
• Behavioral Economics
• +۷ مورد دیگر

Andrew Kosenko is an Associate Professor of Economics at the Department of Economics and Finance within the School of Management at Marist University. He maintains academic connections with Columbia University where he occasionally teaches and conducts research. His scholarly work bridges theoretical microeconomics with real-world policy applications, particularly in information economics and behavioral decision-making. His educational background includes: PhD in Economics, Columbia University (2018) MPhil in Economics, Columbia University (2015) MA in Economics, Columbia University (2014) BA in Economics, New York University (2008) BA in European Studies, New York University (2008) Professor Kosenko's research focuses on microeconomic theory , particularly information economics (strategic communication and information design), and cognitive mechanisms of economic behavior. His work extends to experimental economics, the neuroscience of learning and memory, economics of philanthropy, and the economic consequences of Russia's invasion of Ukraine. His recent publications demonstrate a sophisticated integration of game theory with behavioral insights, examining how imperfect information processing affects strategic interactions. His work on Ukraine's economic challenges, including co-authoring policy briefs with Nobel laureate Joseph Stiglitz, shows his commitment to applying economic theory to pressing global issues. His scholarly output reveals a consistent trajectory from theoretical foundations in information economics toward increasingly policy-relevant applications, particularly regarding the Ukraine conflict. His 2024-2025 publications demonstrate this evolution, with theoretical papers on information design alongside practical policy proposals for asset seizure and analysis of Russia's economic warfare. Professor Kosenko actively contributes to public discourse through outlets like Project Syndicate, VoxUkraine, and Foreign Affairs, with his January 2024 piece on Russian asset seizure republished in The Guardian, El Pais, and other major international media. He is a member of the "Economists for Ukraine" collective and has been profiled by Marist Circle, the student newspaper at Marist University. His teaching responsibilities include Intermediate Microeconomics (ECON 303L) and Game Theory (ECON 403L). Born in Kharkiv, Ukraine and raised in Brooklyn, New York, he brings personal perspective to his work on Ukraine's economic challenges.