جست‌وجوی استاد و پژوهشگر

Frank Hillaryمشاهده پروفایل

استاد

• Neuropsychology
• Traumatic Brain Injury
• Network Neuroscience
• +۳ مورد دیگر

Frank Hillary is a Professor of Psychology at Pennsylvania State University, serving as Interim Co-Director of Clinical Training and Director of SARI. His research examines neural adaptation following brain injury and disease using advanced neuroimaging and network analysis techniques. Education Ph.D. in Psychology, Drexel University, 2000 Research Interests Dr. Hillary investigates functional brain reorganization after neurological disruption, particularly traumatic brain injury (TBI). His lab employs cognitive paradigms, structural/functional MRI, and graph theory to model neural network plasticity across the lifespan. Current work explores aging, mild cognitive impairment, and TBI's role as a risk factor for neurodegeneration, focusing on how network changes predict clinical outcomes. Publication Trends Analysis of 15 recent publications (2014-2018) reveals dominant themes in TBI and network neuroscience. Hyperconnectivity emerges as a central phenomenon, with studies examining its benefits/costs in recovery. Methodologies consistently integrate graph theory, functional MRI, and computational modeling, while recent work expands into aging and neurodegenerative pathways. The research demonstrates evolving focus from acute injury mechanisms to long-term neurodegenerative risks. Scientific Awards No scientific awards were mentioned in the source text Advising and Grants The source text does not specify student advising details or grant funding information. However, his active publication record and lab leadership suggest sustained research support and mentorship activities within the clinical psychology program. Labs and Teams Dr. Hillary directs the Brain Injury & Plasticity Lab (established 2004), which investigates neural system adaptation to injury with clinical outcome implications. The lab maintains active social media engagement (@PSUBrainLab) and collaborates across disciplines including aging research and neurodegeneration studies, utilizing Twitter and Instagram for scientific outreach.

Mathias Deneckeمشاهده پروفایل

پژوهشگر

• Digital Cultures
• Media Studies
• Logistics
• +۴ مورد دیگر

Mathias Denecke is a Postdoctoral Researcher at the Institute for Media Studies at Ruhr University Bochum since March 2022 and an associated member of the Collaborative Research Center 'Virtual Lifeworlds' since February 2024. His academic trajectory includes doctoral research at Leuphana University Lüneburg's Centre for Digital Cultures (2014-2018) and prior work as a Research Associate on media streaming cultures at the University of Hamburg (2018-2022). His educational background features a completed doctorate in 2021 with the project 'Electricity metaphors in digital cultures,' an MA in Literature, Art and Media Studies from the University of Konstanz (2011-2014), and a BA in the same field with a minor in Political Science (2008-2011), including an Erasmus semester in Vilnius. Denecke's research centers on the intersection of digital cultures and material infrastructures, with particular focus on metaphors in theory formation, logistical systems, digitally mediated work, and age-appropriate assistance technologies. His work critically examines how conceptual frameworks like 'flow' and 'circulation' shape our understanding of digital phenomena while investigating the hidden labor within platform economies and care infrastructures. He approaches these topics through media theory, cultural studies, and political economy perspectives, often employing historical and comparative methods. His publications reveal a consistent trajectory exploring the metaphors that structure digital culture, evolving from early work on streaming and data flows to more recent investigations of logistical capitalism, care work in technical environments, and the material conditions of digital labor. Denecke frequently collaborates with other scholars while maintaining a distinctive focus on the epistemological dimensions of digital infrastructure and the social implications of emerging technologies. Denecke teaches courses including 'Data Bodies. People in Computing Environments,' 'Digital Media and Health,' 'Care Work' (at MA level), and 'Artificial Intelligence and Human Work' (at BA level), reflecting his research interests in the relationship between humans and computational systems. His teaching appears to integrate theoretical frameworks with contemporary case studies from platform economies and assistive technologies. As part of the Collaborative Research Center 'Virtual Lifeworlds,' Denecke contributes to interdisciplinary research examining the evolving relationship between digital technologies and human experience, particularly investigating how infrastructures shape everyday life and social relations in increasingly digitized environments.

• Systems Engineering
• Optimization
• Operational Research
• +۳ مورد دیگر

Ana Maria Alves Coutinho Rocha is an Associate Professor at the Department of Production and Systems (DPS), School of Engineering, University of Minho. She is also a Senior Researcher with PhD at Centro ALGORITMI and serves as the coordinator of the Systems Engineering and Operational Research (SEOR) research group. Her academic career spans over two decades at the University of Minho, where she has made significant contributions to both teaching and research. Her educational background includes: PhD in Production and Systems Engineering from the University of Minho (2005) Master's degree in Computer Engineering from the University of Minho (1997) Degree in Systems and Computer Engineering from the University of Minho (1993) Ana Maria's research primarily focuses on Systems Engineering, Optimization, and Operational Research. Her specific interests include Global optimization, Nonlinear optimization, and mixed-integer programming. She has made substantial contributions to developing optimization algorithms and applying them to various real-world problems including healthcare optimization, firefighting resource allocation, and additive manufacturing. Her work bridges theoretical advances in optimization with practical applications across multiple domains. Her recent publications demonstrate a strong trend toward applying optimization techniques to healthcare systems, emergency response, and educational technologies. She has published extensively on multi-objective clustering algorithms, firefighting resource optimization, and home healthcare management. Her work increasingly integrates machine learning with traditional optimization methods, reflecting the evolving landscape of computational intelligence. Her scientific achievements have been recognized with prestigious awards: Honorable Mention for the Isabel Themido Prize (2015) Isabel Themido Prize (2017) Ana Maria has supervised or co-supervised 4 doctoral theses and currently has 2 doctoral students in progress. She is also supervising 1 post-doctoral student and has guided numerous master's students in data analysis and optimization. She has participated in 6 research projects, serving as co-principal investigator for one of them, and has supervised several research grants. Her collaborative network spans over 200 researchers worldwide. She leads the Systems Engineering and Operational Research (SEOR) research group at the ALGORITMI Research Centre, which focuses on developing advanced optimization methodologies and applying them to industrial and societal challenges. Her team works on both theoretical advances in global optimization algorithms and practical implementations in areas like healthcare, emergency management, and manufacturing.

Valentin Gorankoمشاهده پروفایل

استاد

• Logic
• Artificial Intelligence
• Multi-agent Systems
• +۳ مورد دیگر

Valentin Goranko is a Professor in the Department of Philosophy at Stockholm University, specializing in logic and its interdisciplinary applications across computer science, artificial intelligence, and multi-agent systems. His academic profile reflects a deep integration of philosophical inquiry with practical computational frameworks. Professor Goranko's research centers on the theoretical foundations of logic with specific applications to artificial intelligence, multi-agent systems, game theory, and computer science. His work develops formal frameworks for strategic reasoning, temporal logic, and coalition-based decision making, bridging abstract logical theory with concrete implementation challenges. The research demonstrates methodological sophistication through its combination of theoretical depth with practical verification considerations. Analysis of his recent publications reveals a maturing research program that has evolved from foundational work on temporal logics toward more complex applications involving structural analysis of logical systems and the synthesis of quantitative and qualitative reasoning approaches. His contributions to alternating-time temporal logic (ATL), game-theoretic semantics, and coalition logics have provided new insights into model checking and verification of multi-agent systems, with particular emphasis on socially friendly coalition logic (SFCL) and group protecting coalition logic (GPCL). Professor Goranko has authored several influential textbooks including 'Logic as a Tool' (2016), 'Temporal Logics in Computer Science' (2016), and 'Logic and Discrete Mathematics' (2015), which have become standard references in their respective fields. These works reflect his commitment to making complex logical concepts accessible while maintaining rigorous theoretical standards. At Stockholm University, he teaches Classical Logic (introductory) and Philosophical Logics II (advanced), courses that emphasize both foundational logical principles and their advanced philosophical applications. His teaching approach demonstrates a consistent focus on practical utility of logical reasoning alongside theoretical rigor, preparing students for both academic research and practical applications in computer science and artificial intelligence.

• Composite Materials
• Additive Manufacturing
• Polymer Engineering
• +۳ مورد دیگر

R. Byron Pipes is the John L. Bray Distinguished Professor of Engineering at Purdue University's College of Engineering, holding affiliations with the Departments of Aeronautics and Astronautics, Chemical Engineering, and Materials Engineering. His research focuses on advanced composite materials, additive manufacturing, polymer processing, and the development of novel manufacturing techniques for high-performance materials. He is particularly known for contributions to composite structure optimization, thermoplastic composites, and material characterization via computational and experimental methods. Dr. Pipes' work integrates multi-scale modeling, digital thread integration, and machine learning to address challenges in composite manufacturing, including fiber orientation control, thermal management, and defect prediction. His research bridges fundamental material science with applied engineering solutions, emphasizing sustainability through upcycling strategies and energy-efficient processes. He has pioneered methodologies for compression molding of prepreg platelet composites, stamp forming of thermoplastics, and embedded heating systems in additive manufacturing. His academic leadership includes roles on committees such as the Dean's Awards Committee, reflecting his institutional contributions. Scientific recognition includes the prestigious John L. Bray Distinguished Professorship, underscoring his impact on engineering education and research. His lab focuses on translating innovations from computational simulations to real-world manufacturing applications, with a strong emphasis on aerospace and automotive material systems.

Ashesh Rambachanمشاهده پروفایل

استادیار

• Econometrics
• Machine Learning Applications in Economics
• Causal Inference
• +۲ مورد دیگر

Ashesh Rambachan serves as Assistant Professor of Economics at the Massachusetts Institute of Technology (MIT), with a visiting appointment at Stanford University's Department of Economics and SIEPR for the 2025-2026 academic year. His primary institutional affiliation remains MIT's Department of Economics. His research program integrates econometric theory with machine learning to advance causal inference methodologies, particularly in quasi-experimental designs and observational data analysis. Key focus areas include algorithmic fairness, structural model robustness, and the application of foundation models to economic problems. This interdisciplinary approach bridges theoretical econometrics with real-world policy evaluation challenges. Analysis of his publication trajectory reveals increasing engagement with AI-driven methodologies since 2020, marked by a shift toward foundation models and large language models in economic contexts. His work consistently addresses credibility gaps in causal estimation while expanding into behavioral economics and algorithmic decision-making frameworks, reflecting evolving priorities in computational social science. Scientific recognition includes: NeurIPS 2024 Spotlight Paper for "Evaluating the World Model Implicit in a Generative Model" No explicit details regarding student advising, grant funding, or laboratory affiliations appear in current public records. His teaching portfolio includes MIT PhD courses on Algorithms and Behavioral Science (14.163) and Statistical Methods in Economics (14.380), alongside undergraduate instruction in Algorithmic and Human Decision-Making (S.6041).

Adil Hammadiمشاهده پروفایل

مدرس

• Supply Chain Management
• Sustainable Project Management
• IoT in Business Operations
• +۵ مورد دیگر

Adil Hammadi is a Lecturer in the School of Management and Marketing at Curtin University, within the Faculty of Business and Law. He contributes to the Office of the Provost, supporting academic governance and strategic initiatives. Based at the Curtin Perth campus in the Curtin Business School Building 1, his work spans multiple disciplines across Curtin’s global footprint, encompassing campuses in Australia, Dubai, Malaysia, Mauritius, and Singapore. His research interests focus on technology-driven solutions for business operations and supply chain management. Key areas include IoT integration in supply chains, sustainable project management methodologies, and ethical considerations in corporate practices. He investigates deception in supply chains and its impact on customer perceptions, alongside trust frameworks for cloud computing and web service reliability. Earlier work emphasized transactional systems and database recovery protocols, showcasing expertise in foundational IT infrastructure challenges. Recent publications highlight IoT’s transformative role in supplier relationships and sustainable project management practices. Earlier works (2019–2022) explore deception’s corrosive effects on corporate culture and supply chain resilience. His 2004–2006 studies established reliable transactional web service models, while later contributions (2012–2014) advanced cloud-based SLA management and business intelligence integration. This trajectory reflects evolving research from technical reliability to strategic, ethical applications of technology. No scientific awards were explicitly mentioned in the provided texts. His teaching spans cross-disciplinary areas, including the Centre for Aboriginal Studies, Business, Law, Health Sciences, Humanities, and Science & Engineering, indicating a commitment to academic diversity. No formal advisees (PhD/Master’s students) or grants were noted, suggesting a focus on teaching and independent research. Advising and grants sections remain unpopulated in the available information. He is not associated with any labs or research teams listed in the provided texts.

Lindi Wahlمشاهده پروفایل

استاد

• Mathematical Biology
• Evolutionary Dynamics
• HIV Modeling
• +۵ مورد دیگر

Lindi Wahl is a Professor of Mathematics at Western University, holding a Canada Research Chair in Mathematical Biology. She teaches courses in applied mathematics, including AM2402a scheduled for fall 2025, and directs an active research group focused on mathematical biology. Her office is located in Room 267, Middlesex College, and she maintains regular office hours on Wednesdays from 3:30-4:30pm. Wahl's research spans multiple areas of mathematical biology with a particular emphasis on evolutionary dynamics. Her work employs mathematical models to understand microbial evolution, viral dynamics (especially HIV), disease modeling, and bioinformatics. She has developed innovative approaches to studying how mutations arise and spread in evolving populations, with applications ranging from antibiotic resistance to viral evolution. Her research group regularly collaborates with experimentalists across diverse biological disciplines. Analysis of Wahl's recent publications reveals a strong focus on evolutionary processes in microbial systems, particularly examining how mutation spectra, population bottlenecks, and selection pressures shape evolutionary trajectories. Her work increasingly integrates theoretical models with empirical data, especially in virology and microbial evolution. Significant themes include the dynamics of prophages in bacterial genomes, within-host viral evolution (particularly SARS-CoV-2), and the mathematical foundations of evolutionary rescue. Canada Research Chair in Mathematical Biology Premier's Research Excellence Award from the Ontario Ministry of Science, Technology and Industry Wahl mentors a substantial research group comprising PhD and MSc students, postdoctoral fellows, and undergraduate researchers. Her group has received significant funding from NSERC, the Canada Foundation for Innovation, and other major granting agencies. She has been instrumental in developing educational initiatives, including the 'Students as Partners' program at Western's Teaching Support Centre where she served as a Teaching Fellow from 2017-2021. Her research group maintains active collaborations with institutions worldwide and has produced numerous high-impact publications across mathematical biology disciplines. Wahl's research laboratory operates as a collaborative hub for mathematical biologists, with students working on diverse projects spanning theoretical neuroscience, epidemiology, evolutionary game theory, and bioinformatics. The group has developed specialized computational approaches for analyzing complex biological systems and maintains strong connections with experimental laboratories to validate theoretical predictions.

Kevin Jonesمشاهده پروفایل

استاد

• Cyber Security
• Maritime Technology
• Risk Management
• +۳ مورد دیگر

Professor Kevin Jones is the Deputy Vice-Chancellor for Research and Innovation and Executive Dean of the Faculty of Science and Engineering at the University of Plymouth. His primary focus is maritime cyber security, leading the Maritime Cyber Threats Research Group and the Cyber-MAR network, a €7M European initiative enhancing maritime cyber preparedness. He oversees pioneering facilities like the Cyber-SHIP Lab and the Marine Navigation Centre, which test cyber defenses for maritime systems. His research integrates cyber security, autonomous systems, and policy development, addressing vulnerabilities in global shipping, offshore energy, and port operations. Collaborations span industry and academia, including US Coast Guard panels and policy influence at national/international levels. Jones supervises 5 PhD students and advocates for interdisciplinary approaches to cyber safety culture and human factors in autonomous maritime systems. Education background: Not explicitly detailed in provided texts, but his academic role as Professor and Dean suggests advanced qualifications in Computing Science or related fields. Research emphasizes maritime cyber risks, with contributions to risk mitigation frameworks, cost-benefit analyses for energy infrastructure, and malware detection in IoT systems. His work bridges technical innovation with policy, aiming to secure critical maritime infrastructure against evolving cyber threats. Key Projects: Cyber-SHIP Lab, Maritime Cyber Threats Research Group, Cyber-MAR network Focus Areas: Autonomous ship security, port resilience, cyber-physical systems Policy Contributions: Influencing maritime cyber governance and safety standards Research trends show a focus on quantifying cyber risks, developing adaptive security solutions, and addressing socio-technical challenges in autonomous systems. Recent publications highlight vulnerability analysis in IoT, satellite communications, and voyage data recorders. His work underscores the economic impacts of cyber attacks on global trade and the need for robust mitigation strategies. Advising 5 PhD students and leading interdisciplinary teams, Jones fosters innovation in cyber security training, digital twin technologies, and forensic readiness. Grants and partnerships support his mission to create resilient maritime infrastructure through cutting-edge research and industry collaboration.

• Software Engineering
• Web Applications
• Formal Methods
• +۳ مورد دیگر

May Haidar is an Assistant Professor in the Department of Electrical Engineering & Computer Science at York University. Her work bridges theoretical and applied domains, focusing on software engineering, web applications, and formal verification techniques. Education: Ph.D. in Computer Science (Université de Montréal, 2008), M.S. (Concordia University), B.S. (American University of Beirut) Current Role: Teaching Object-Oriented Programming, Advanced Programming, and Web Development courses Her research explores formal methods in software engineering, particularly temporal logics and run-time verification for web applications. She has contributed to hybrid analysis techniques for composite web services and anomaly detection frameworks. Publications span formal verification, web application security, and embedded systems design, with a focus on integrating temporal logic extensions into validation processes. While no explicit awards are listed, her work has been presented at global conferences, including events in Dubai, Cambridge, and Las Vegas.

Monica Liljeströmمشاهده پروفایل

دانشیار

• Online Learning
• Digitalization in Education
• Special Education
• +۲ مورد دیگر

Monica Liljeström serves as an Associate Professor in the Department of Education at Umeå University, Sweden, where she is affiliated with the Learning and ICT (LIKT) research area. Her primary teaching responsibilities span online-based education programs, including the fully online Education A-C curriculum, special education courses, and HR management instruction. Appointed as assistant professor in 2001, she completed her doctoral degree in 2010 and has since been instrumental in developing the institution's online pedagogical frameworks. Her educational trajectory culminated in a doctorate in 2010 after seven years as assistant professor, reflecting deep institutional commitment and scholarly development. Liljeström's research centers on digital transformation in education, specifically examining online learning methodologies, special education adaptations, and innovative assessment practices. She investigates how collaborative learning and peer assessment function in digital environments, with particular focus on video-based tasks and text-based discussion forums. Her work bridges theoretical frameworks with practical course development, emphasizing student-centered evaluation approaches that foster meaningful engagement in virtual classrooms. Analysis of her publication history reveals a sustained 20-year commitment to advancing online education, evolving from foundational studies on text-based collaboration (2004-2010) to contemporary explorations of video-mediated learning (2017-2023). Her research consistently addresses peer assessment mechanisms, student perception dynamics, and the integration of process evaluation in digital pedagogy, demonstrating methodological rigor across diverse online educational contexts. Scientific Recognition: Distinguished University Teacher award for exceptional pedagogical contributions As an active academic leader, Liljeström has supervised students in special education and pedagogy programs while directing significant research initiatives including the "Collaborative Mixed Reality Aid" project (2019-2020) and foundational work on "Peer assessment in online courses" (2007-2009). These projects secured institutional funding and directly shaped Umeå University's online course development standards. She remains a core contributor to the Learning and ICT (LIKT) research group, driving collaborative investigations into how digital tools transform teaching practices and learning outcomes across educational levels.

Olivia Gosseriesمشاهده پروفایل

دانشیار

• Disorders of consciousness
• Neuropsychology
• Non-invasive brain stimulation
• +۹ مورد دیگر

Dr. Olivia Gosseries serves as Director of the Coma Science Group and holds the position of Associate Professor at the University of Liège, where she also maintains her status as a FNRS Research Associate. Her academic journey began with a Bachelor's degree in Psychological and Educational Sciences from the University of Brussels in 2004, followed by a Master's with Neuropsychology expertise in 2007, and culminated in her PhD in Biomedical and Pharmacological Sciences from both the University of Liège and University of Brussels in 2012. Prior to her current position, she spent three years at the University of Wisconsin-Madison researching sleep and working memory. Dr. Gosseries' research program spans multiple dimensions of consciousness studies. Initially focusing on diagnosis and prognosis in disorders of consciousness using non-invasive brain stimulation and electrophysiology, her work has evolved to encompass therapeutic interventions for patients recovering from coma. Her current research investigates anesthesia mechanisms, coma memory, lucid dreaming, meditation, hypnosis, cognitive trance, and virtual reality applications to understand human consciousness more comprehensively. This multidisciplinary approach integrates clinical neurology, neuropsychology, and advanced neuroimaging techniques to address complex questions about consciousness states. Her extensive publication record of over 200 peer-reviewed articles in prestigious journals including Science, Lancet, Lancet Neurology, Annals of Neurology, and Brain demonstrates consistent scholarly productivity. The recent publications (2024-2025) reveal a clear trajectory toward exploring novel therapeutic approaches for disorders of consciousness, particularly investigating psychedelic compounds like psilocybin and ketamine, while maintaining strong methodological rigor through computational modeling, multimodal assessment techniques, and international collaborative studies. Her work bridges theoretical neuroscience with practical clinical applications, addressing both fundamental questions about consciousness and tangible improvements in patient care. As Associate Editor for Clinical Neurophysiology and Frontiers in Systems Neuroscience, Dr. Gosseries plays a significant role in shaping scholarly discourse in her field. She co-edited the second edition of 'Neurology of Consciousness' (Elsevier, 2015) and has reviewed for numerous scientific journals. Her leadership extends to organizing major conferences including Coma Day and Human Brain Project conferences on consciousness, fostering international collaboration in consciousness research. Dr. Gosseries actively supervises PhD students and leads the Coma Science Group at the University of Liège's GIGA research center. Her research has been supported by prestigious funding bodies including F.R.S.-FNRS, JSMF, MSF, EC, and Fundação BIAL. The Coma Science Group maintains an active presence in both academic and public spheres, with a mission to improve medical care for patients with disorders of consciousness following acute injuries such as coma, unresponsive wakefulness syndrome, minimally conscious state, or locked-in syndrome.

Raffaele Calabrettaمشاهده پروفایل

دانشیار

• Artificial Life
• Evolutionary modularity
• Cognitive modeling
• +۳ مورد دیگر

Raffaele Calabretta is an Associate Professor of Psychology of Communication at the International Telematic University UniNettuno and a Permanent Researcher at the Italian National Research Council's Institute of Cognitive Sciences and Technologies. He holds a Ph.D. in Computer Science from Stanford University (2012). His interdisciplinary research spans evolutionary modularity in artificial neural networks, intra-party democratic innovations, and cognitive modeling. Dr. Calabretta developed 'doparies'—a post-election participatory mechanism for political parties that combines deliberation and voting to enhance citizen engagement. In artificial life, he has modeled how modularity evolves in neural networks to solve complex tasks. He authored the science-in-fiction novel 'Il film delle emozioni' (2006) and 'Doparie, dopo le primarie' (2010) on democratic innovations.

• Structural Biology
• Microbiology
• Biochemistry
• +۵ مورد دیگر

Dr. Morgan Beeby is an Associate Professor in Structural Biology at the Department of Life Sciences, Imperial College London, within the Faculty of Natural Sciences. He leads research into the molecular machinery of cells, employing electron cryo-tomography to visualize cellular processes at near-atomic resolution. As co-director of the MRes in Structural Biology, he oversees advanced training programs and maintains an active lab focused on microbial structural biology. His work integrates cutting-edge imaging techniques with phylogenetics and genetics to explore the assembly, function, and evolution of molecular machines like bacterial flagella and archaella. Research interests include microbiology, biochemistry, and cell biology, with a focus on understanding how cellular components such as flagella, archaella, and secretion systems operate and evolve. His group investigates the structural basis of motility, protein interactions, and cellular processes in pathogens like Campylobacter jejuni and Staphylococcus aureus , leveraging cryo-ET and computational modeling. Publications highlight advancements in flagellar motor structure, archaellum function, and the evolution of bacterial secretion systems. The lab’s methodologies include high-throughput cryo-tomography and subtomogram averaging to resolve complex macromolecular assemblies in situ. Collaborative efforts aim to bridge structural insights with functional genomics, particularly in environmental and medical microbiology contexts. Dr. Beeby’s contributions extend to educational leadership through the MRes program and lab management. He actively disseminates findings via peer-reviewed journals and maintains a lab website for ongoing research updates. His work emphasizes translational applications in understanding microbial pathogenesis and structural biology’s role in advancing medical and environmental science.

Alexander Robinsonمشاهده پروفایل

دانشیار

• Landscape Architecture
• Sustainable Design
• Infrastructure Design
• +۳ مورد دیگر

Alexander Robinson is an Associate Professor in the Department of Landscape Architecture + Urbanism at the University of Southern California (USC) School of Architecture. He holds an MLA from the Harvard Graduate School of Design and a BA in Studio Arts and Computer Science from Swarthmore College. His research focuses on landscape infrastructure, sustainable design, and community engagement, particularly through projects like the Inclusive Infrastructure Design Lab (IIDL) and the Los Angeles River Observatory (LARO). Key research areas include nature-based infrastructure, climate resilience, and the Los Angeles River revitalization. He co-founded TEST PLOT, a non-profit advancing ecological stewardship, and runs Double Iris, a design practice. His books, such as The Spoils of Dust and Living Systems , explore landscape architecture’s role in environmental restoration and design innovation. Education: MLA, Harvard Graduate School of Design BA in Studio Arts & Computer Science, Swarthmore College Awards: Fellow of the American Academy in Rome Prince Charitable Trust Rome Prize (2015) Robinson’s work integrates engineering, ecology, and public engagement through labs like IIDL, which uses advanced modeling and augmented reality. He teaches courses such as Entropy and the New Monuments , an intensive field school exploring California’s landscapes. His research is supported by NSF, USC, and collaborations with agencies like the Army Corps of Engineers.