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Andrew B. BocarslyView profile

Professor

• Catalysis
• Synthesis
• Inorganic Chemistry
• +4 more

Andrew B. Bocarsly is a Professor of Chemistry at Princeton University, affiliated with the Department of Chemistry within the Faculty of Arts and Sciences. His research focuses on physical inorganic chemistry, catalysis, materials science, and CO₂ conversion. He leads the Bocarsly Lab, which explores electrochemical and photochemical methods to convert CO₂ into fuels and valuable chemicals, emphasizing heterogeneous catalysts and novel materials like cyanogels. His work intersects with sustainability and energy applications, supported by collaborations with institutions like the Andlinger Center for Energy and the Environment. Research Interests: - Development of catalysts for CO₂ reduction to multi-carbon species - Electrocatalytic and photocatalytic mechanisms using transition metal complexes - Low-temperature synthesis of alloys and semiconductors via cyanogel systems - Design of photoelectrochemical systems for solar energy conversion Recent trends in his publications highlight advancements in catalyst design (e.g., Ni-enhanced oxides, manganese complexes), CO₂-to-CO/1-butanol conversion, and semiconductor materials for hydrogen evolution. His lab actively mentors students, with notable graduates like Andersen Dimon and Rebecca Evans. Collaborations extend to Princeton’s Materials Institute and the Electrochemical Society. Labs/Teams: The Bocarsly Lab operates in Frick Chemistry Laboratory, emphasizing interdisciplinary approaches to energy sustainability. Recent activities include hosting the 19th International Conference on Carbon Dioxide Utilization (2022) and fostering undergraduate and graduate research programs.

• Learning Engineering
• Technology-Enhanced Learning
• Question-Based Learning
• +12 more

Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.

Ali AbbasView profile

Research Fellow

• Public Health Modelling
• Transport Planning
• Active Travel
• +4 more

Ali Abbas is a Senior Researcher and Methods Fellow at the MRC Epidemiology Unit within the University of Cambridge's School of Clinical Medicine. His academic background includes a PhD in Computer Science from Manchester Metropolitan University, an MSc in Media Informatics from RWTH Aachen University, and a BS in Computer Science from Mohammad Ali Jinnah University. With over two decades of research experience, he specializes in data-driven approaches including exploratory analysis, statistical modelling, and interactive visualization. His core research focuses on developing environmentally sustainable transport systems with positive public health outcomes, particularly through: Agent-based modeling of transport behaviors Cycling infrastructure and active travel interventions Health impact assessment of urban mobility policies Spatial analysis using GIS technologies Complex systems approaches to public health He leads several major research initiatives including the JIBE project (integrating transport and built environment models), GLASST (global health impact assessment), TIGTHAT (integrated global transport-health tool), National Propensity to Cycle Tool, and Impacts of Cycling Tool. His publication portfolio demonstrates consistent focus on transport-health interactions, physical activity epidemiology, and urban health modelling, with recent work emphasizing policy applications and global scalability. As an advocate for open science, he maintains active GitHub repositories of his computational models. He additionally manages junior researchers and contributes to training initiatives within his unit.

Anthony SteedView profile

Professor

• Virtual Reality
• Augmented Reality
• Interactive Virtual Environments
• +7 more

Anthony Steed is a Professor in the Department of Computer Science at University College London, where he leads the Virtual Environments and Computer Graphics group and serves as deputy head of department. His work focuses on real-time interactive virtual environments and related technologies. His research interests include: Virtual Reality and Augmented Reality Real-time Graphics and Interactive Virtual Environments Networking for Tightly Synchronous Telecollaboration 3D User Interfaces and Novel Forms of Interaction Perceptual and Cognitive Issues in Mixed Reality Haptics and Telepresence Professor Steed has made significant contributions to the field through his co-authored books "Networked Graphics" (2010) and "Computer Graphics and Virtual Environments: From Realism to Real-Time". He has also contributed to puzzle design, co-authoring "The Gentle Art of Filling Space" with Michael Dowle. His notable recognition includes the IEEE VGTC Technical Achievement Award (2016). Professor Steed supervises several doctoral students and post-doctoral fellows, and teaches courses including Research Methods, Virtual Environments, and Perception and Interfaces at both undergraduate and MSc levels.

Brad KnoxView profile

Associate Professor

• Reinforcement Learning
• Human-Computer Interaction
• Artificial Intelligence
• +4 more

Brad Knox is a Research Associate Professor in the Department of Computer Science at the University of Texas at Austin . His work bridges machine learning, human-computer interaction, and computational cognitive science, with a focus on developing systems that learn from human feedback. Key research areas: Reinforcement Learning, Human-AI Interaction, Reward Design, Autonomous Systems Notable contributions: TAMER framework for human-guided learning, empirical studies on reward misdesign, and human preference modeling for autonomous agents Research Trends : His recent work (2023-2025) emphasizes reward alignment, safety in autonomous systems, and preference-based learning frameworks. Earlier studies (2012-2020) established foundational methods for integrating human feedback into reinforcement learning architectures and exploring behavioral signatures in decision-making. Scientific Honors : Bert Kay Dissertation Award (2013) Victor Lesser Distinguished Dissertation Award (IFAAMAS, Runner-up, 2013) NSF SBIR Grant (PI, 2016) NSF Graduate Research Fellowship (2008-2011) IEEE Intelligent Systems AI 10 to Watch (2013) Teaching & Leadership : Knox served as Principal Lecturer for MIT's Interactive Machine Learning course (2013) and held organizational roles at major conferences including Reinforcement Learning Conference (Scheduling Chair, 2025) and RLDM workshop (Co-chair, 2022).

Aswin SankaranarayananView profile

Professor

• Computational Photography
• 3D Shape Estimation
• Imaging Systems
• +4 more

Aswin Sankaranarayanan is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU) , where he leads the Image Science Lab . His research focuses on computational photography , 3D shape estimation , and novel imaging system design . He earned his Ph.D. in Electrical and Computer Engineering (2009) from the University of Maryland and completed a postdoctoral fellowship at Rice University (2012) . Research Themes: Developing imaging systems that exploit low-dimensional signal models to overcome traditional sensing limitations Co-design of optics and processing algorithms for efficient sensing Application of non-linear signal models to high-dimensional data Advancing compressed sensing and big data processing techniques Scientific Recognition: SIGGRAPH 2023 Best Paper Award (Split-Lohmann Multifocal Displays) CVPR 2019 Best Paper Award (Fermat Paths for NLOS Reconstruction) NSF CAREER Award (2017) Dean’s Early Career Fellowship (2018-2021) Herschel Rich Invention Award (2016) Technical Contributions: His recent publications reveal expertise in non-line-of-sight shape reconstruction , VR/AR display systems , and biomedical imaging . Collaborations span institutions like University College London and University of Toronto.

Majed ElwardyView profile

Lecturer

• Computer Science
• Virtual Reality
• Augmented Reality
• +5 more

Majed Elwardy is a Lecturer at the Department of Computer Science , Blekinge Institute of Technology , focusing on Computer Science , Virtual Reality , and Quality Assessment . He works at the Human-Centered Intelligent Realities Laboratory in Karlskrona, Sweden. Email: majed.elwardy@bth.se Phone: 0455-385801 His research investigates 360° video quality assessment in immersive environments using head-mounted displays (HMDs) , analyzing user behavior , quality perception , and subjective testing methodologies . He explores differences in standing vs. seated viewing and consistency of user feedback over time. Majed contributes to the HINTS project (Human-Centered Intelligent Realities) and has published datasets like RQA360 to advance immersive media research. His work includes studies on simulator sickness , VR experience levels , and scene exploration patterns in 360° video evaluation.

Alex LiuView profile

Researcher

• Paleobiology
• Early Animal Evolution
• Ediacaran Biota
• +8 more

Alex Liu is a Researcher at the Department of Earth Sciences within the University of Cambridge. He specializes in palaeobiology , focusing on the origin and early evolution of animals, particularly the Ediacaran biota (~579–539 million years ago), and their co-evolution with Earth's environment. Research Focus: Refines understanding of animal body plan evolution, taphonomy, sedimentology, and macroevolutionary trends. Methodologies: Combines fieldwork, experimental studies, petrology, phylogenetics, and big-data analyses. Collaborations: Works with international museums and research teams on fossil sites in Namibia, Canada, and Brazil. Additional Interests: Explores meiofaunal evolution, paleogeography, paleoclimate, and conservation paleobiology. He supervises Cambridge NERC Doctoral Landscape Awards (DLA) projects and welcomes student contributions to taxonomic, paleoecological, and analytical studies.

Stuart HargreavesView profile

Associate Professor

• Information Law
• Privacy Law
• Constitutional Law
• +4 more

Stuart Hargreaves is an Associate Professor at the Faculty of Law , The Chinese University of Hong Kong . His research focuses on information and privacy law and constitutional law and legal theory , reflecting his prior legal practice and academic background. Education: SJD, University of Toronto (2013) BCL, Oxford University (2008) JD, Osgoode Hall Law School (2006) BA in Politics & Sociology, McGill University (2000) His work examines the intersection of artificial intelligence and legal education , with projects like “Teaching Avatars” using AI for educational content creation. He also investigates surveillance technologies , privacy law , and constitutional rights in the context of Hong Kong’s political and legal environment. Scientific Awards and Grants: CUHK Teaching Excellence Award (2017) CUHK Direct Grant for Research University Grants Committee Teaching Development Grant Research Grants Council General Research Fund Joseph-Armand Bombardier Canada Graduate Scholarship Google Policy Fellowship He has contributed to AI in legal pedagogy through multiple conference presentations (e.g., “Teaching Avatars” at the 2024 CUHK Teaching & Learning Innovation Expo) and serves on the Board of Advisors for Teach for Hong Kong . His external roles include journal reviewing and LAWASIA membership.

• Environmental Engineering
• Hydrology
• Fluid Dynamics
• +3 more

Hafiza Aisha Khalid is a Doctoral Researcher at Aalto University's Department of Built Environment, specializing in environmental and water engineering. She focuses on the interaction between flexible vegetation and fluid dynamics in natural water systems. Her research is part of the Water and Environmental Engineering group, where she contributes to advancing understanding of vegetation's role in flow resistance and eco-hydraulic systems. Recent publications highlight her work on modeling natural vegetation effects in hydrological systems, emphasizing practical applications for sustainable water management. BEST ORAL PRESENTATION AWARD

• Organizational Change
• Strategic Change
• Discourse Analysis
• +7 more

Eero Vaara serves as a Visiting Distinguished Professor in the Department of Management Studies at Aalto University, where his research centers on organizational and strategic change through discursive and narrative lenses. His work critically examines strategy processes, radical transformations like mergers and acquisitions, institutional legitimation, multinational corporation dynamics, and historical perspectives on management. His research interests encompass organizational change, strategic discourse, narrative analysis, institutional theory, and multinational corporate identity. Vaara investigates how language constructs organizational realities during crises, mergers, and cross-cultural interactions, with particular attention to power dynamics in identity politics and the role of historical narratives in strategic renewal. His scholarship bridges theoretical rigor with practical implications for managing complex change in global contexts. Recent publications (2020-2022) reveal consistent thematic focus across top management journals including Academy of Management Journal and Strategic Management Journal. Key trends include the interplay of language and social inequality during global crises like COVID-19, entrepreneurial phenomena in isolated economies such as North Korea, strategic ambiguity in organizational protection, and national identity construction within multinational corporations. His methodological innovations integrate critical discourse analysis with computational approaches like structural topic modeling. Scientific awards highlight his scholarly impact: Best Article Finalist 2023 (Academy of Management Discoveries) 2014 OMT Best Published Paper Award for advancing theoretical understanding of organizations While specific advising relationships and grant funding details aren't documented in the source material, Vaara's collaborative publications demonstrate extensive international research partnerships. His work with scholars across Europe and North America indicates active supervision of doctoral research and leadership in multinational research consortia, particularly in discourse-focused organizational studies. Though laboratory affiliations aren't specified, his methodological work suggests engagement with digital humanities research groups and discourse analysis laboratories, especially evident in publications combining computational text analysis with critical theoretical frameworks.

Luca SebastianiView profile

Professor

• Plant Physiology
• Molecular Plant Stress Responses
• Nutraceuticals in Plants
• +3 more

Luca Sebastiani is a Full Professor in Horticultural Sciences (AGR/03) at Scuola Superiore Sant'Anna in Pisa, Italy, since 2014. He currently coordinates the PhD Course in AgroBioSciences and has previously served as Director of the Institute of Life Sciences (2016-2021). His academic career includes roles as Associate Professor (2002-2014) and Assistant Professor (1998-2002) at the same institution. PhD in Plant Biology from Scuola Superiore Sant'Anna (1996) MSc in Agricultural Sciences from University of Pisa (cum laude, 1991) Postdoctoral research in agricultural biotechnology (1996-1998) Research Interests: Focus on plant-environment interactions, particularly abiotic and biotic stress responses in crops. Key areas include: Physiological and molecular responses to climate change stressors Nutraceutical enhancement of food crops Plant germplasm conservation using molecular markers Agriculture 4.0 integrating AI, IoT, and robotics Phytoremediation using poplar and Brassica species Scientific Contributions: His work bridges molecular mechanisms (aquaporin function, heavy metal transport) with ecosystem-level applications (precision irrigation, contaminant phytoremediation). Recent publications emphasize genome sequencing, stress tolerance modeling, and nutraceutical food development. ISHS Medal for SapFlow Workshop organization (2011) Giovanni Spitali Foundation Award for PhD dissertation (1998) Collaborations: Extensive international collaborations with institutions like Beijing Forestry University, Comenius University, and Purdue University. Currently supervises projects in plant phenotyping, omics technologies, and sustainable crop management.

Ruohan GaoView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Multisensory Machine Intelligence
• +4 more

Ruohan Gao is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park , with affiliate appointments at the University of Maryland Institute for Advanced Computer Studies (UMIACS) , Maryland Robotics Center (MRC) , and Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) . His research focuses on Computer Vision and Machine Learning , emphasizing Multisensory Machine Intelligence that integrates sight, sound, and touch . He aims to enable machines to perceive, understand, and interact with the world as humans do, with applications in robotic manipulation , audio-visual localization , and differentiable rendering . Article Trends : Span 2018–2025 , centering on audio-visual perception , multisensory datasets , and robotics . Recurring themes include object-centric learning , sound synthesis , and cross-modal consistency . Scientific Awards : Michael H. Granof Award (UT Austin’s Top 1 Doctoral Dissertation, 2021) Best Paper Award Runner-Up (BMVC 2021) Best Paper Award Finalist (CVPR 2019) Highlight Paper (CVPR 2023) He leads the UMD Multisensory Machine Intelligence Lab and collaborates with institutions like Stanford and The University of Texas at Austin . Contact: rhgao@umd.edu .

• Molecular Recognition in Water
• Organic Chemistry
• Nanoparticle Receptors
• +5 more

Roshan Gunasekara serves as an Assistant Professor in the Department of Neurology at Yale School of Medicine, where he leads the Gunasekara Lab and collaborates with the Grutzendler Lab. His academic journey includes a PhD in Organic Chemistry from Iowa State University (2016) and undergraduate studies in Chemistry at the University of Peradeniya (2010). Dr. Gunasekara's research focuses on molecular recognition in aqueous environments, with particular expertise in designing synthetic receptors for carbohydrates, peptides, and lipids. His work bridges organic chemistry, nanotechnology, and neuroscience applications, developing innovative tools for molecular sensing and isolation. Key research areas include water-soluble fluorescent foldamers, cooperatively enhanced receptors, and nanoparticle-based systems for biomolecular recognition. His publication record demonstrates consistent high-impact contributions to the fields of supramolecular chemistry and molecular recognition, with numerous articles in prestigious journals including Journal of the American Chemical Society and Chemical Communications. His research shows a clear progression from fundamental molecular recognition principles to applications in extracellular vesicle isolation and neuroscientific contexts. Yale Center for Clinical Investigation Award (2019) The Alpha Chi Sigma Research Award (2016) Graduate Research Symposium Award (2015) Frank J. Moore and Thoreen Beth Moore Fellowship Award (2015) Dr. Gunasekara maintains active research collaborations with prominent scientists including Frederic Pincet, Sathish Ramakrishnan, and Themis Kyriakides. His work has significant implications for diagnostic tools, drug delivery systems, and fundamental understanding of molecular interactions in biological systems.

Ion StoicaView profile

Professor

• Distributed Systems
• Cloud Computing
• AI Systems
• +3 more

Ion Stoica is a Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley, where he holds the Xu Bao Chancellor Chair. He serves as Director of the Sky Computing Lab and is Executive Chairman of both Databricks and Anyscale. His research spans distributed systems, cloud computing, and AI systems, with significant contributions to large-scale data processing frameworks. Stoica's research interests focus on the intersection of AI and systems, with emphasis on developing practical implementations that bridge theoretical foundations with real-world deployability. His work addresses fundamental challenges in distributed computing, resource management, and large-scale machine learning systems. Current projects include Ray (a distributed execution framework), vLLM (a high-throughput inference engine for LLMs), Chatbot Arena (an open platform for human preference evaluations), and SkyPilot (a framework for running AI workloads across clouds). His research output demonstrates a consistent trajectory toward more efficient, scalable systems for modern AI workloads, particularly focusing on optimizing inference performance, resource utilization, and cross-cloud deployment. Recent publications reflect growing interest in large language model serving, video generation optimization, and agent-based systems. ACM Fellow SIGOPS Hall of Fame Award (2015) SIGCOMM Test of Time Award (2011) ACM Doctoral Dissertation Award (2001) Member of National Academy of Engineering Honorary Member of the Romanian Academy Stoica has advised an extensive number of doctoral students who have gone on to prominent positions in academia and industry, including assistant professorships at Stanford, MIT, Carnegie Mellon, and other top institutions. He has received significant research funding through his lab activities and startup ventures. His research group has been particularly successful in translating academic research into widely adopted open-source technologies and commercial products. Stoica leads the Sky Computing Lab at UC Berkeley, which focuses on developing systems for AI workloads across multiple clouds. His research group has produced numerous influential open-source projects including Apache Spark, Apache Mesos, and Alluxio, which have become industry standards for large-scale data processing. The lab maintains strong industry partnerships while pursuing fundamental research in distributed systems and AI infrastructure.