Hao Su is an Associate Professor in the Department of Computer Science and Engineering at University of California, San Diego . He serves as Chairman & CTO of Hillbot Inc , and leads the SU Lab which focuses on building autonomous systems that learn actively in physical environments. His affiliations include the Institute for Learning-enabled Optimization at Scale , Artificial Intelligence Group , Contextual Robotics Institute , Halicioğlu Data Science Institute , and Center for Visual Computing . As a researcher in Computer Vision, Robotics, and Neural Geometry , he has made significant contributions to 3D foundation models, reward-free world models, diffusion policy frameworks, and GPU-accelerated simulation environments. His 2024-2025 publications include advancements in hand-eye calibration, dynamic mesh reconstruction, and multi-stage robotic manipulation. His scientific awards include: Frontiers of Science Award (2025) TPAMI Young Research Award (2025) NSF CAREER Award (2023) ACM SIGGRAPH Best Doctorate Thesis Honorable Mention (2019) He has served as Program Chair for CVPR 2025 and Area Chair for ICLR 2022 and NeurIPS 2023 , while previously serving as Publication Chair for 3DV 2016 and Program Committee for SIGGRAPH Asia Workshops .
Andrea Tagliasacchi is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU), where he holds the Visual Computing Research Chair. He is also a part-time (20%) Staff Research Scientist at Google DeepMind in Toronto and holds an associate professor (status only) appointment in the Department of Computer Science at the University of Toronto. Education: PhD in Computing Science – Simon Fraser University (NSERC Alexander Graham Bell Fellow) Postdoctoral Research – École Polytechnique Fédérale de Lausanne (EPFL) MSc in Computer Science – Politecnico di Milano (Gold Medalist) His research lies at the intersection of computer vision, computer graphics, and machine learning, with a focus on 3D visual perception. Key areas include neural radiance fields (NeRF), 3D Gaussian splatting, inverse rendering, and geometric deep learning, with applications in robotics, augmented reality, and autonomous systems. His work emphasizes robust and efficient scene understanding and reconstruction from visual data. His recent publications, appearing in top venues like CVPR, SIGGRAPH, NeurIPS, and ECCV, demonstrate a strong emphasis on neural fields, 3D reconstruction, and generative modeling. Trends include improving rendering efficiency, enhancing robustness to noise and distractors, and enabling controllable and 3D-aware generation. His group has made significant contributions to Gaussian splatting, NeRF optimization, and diffusion-based 3D/4D synthesis. Scientific Awards: 2024 CVPR Best Paper Award (Honorable Mention) 2020 CVPR Best Student Paper Award 2015 SGP Best Paper Award NSERC Alexander Graham Bell Canada Graduate Scholarship MITACS Best Paper Award (SIGGRAPH Asia 2009) NSF Best Poster Award (SGP 2012) He has advised numerous PhD and MSc students, many of whom are now researchers at leading institutions and companies. His research has been supported through collaborations with Google, Intel, and academic partners. He serves the community as a Senior Area Chair for CVPR 2025, Associate Editor for IEEE TPAMI (2024–2026), Guest Editor for IEEE TPAMI on 3D GenAI, and Program Chair for 3DV 2024. He leads a vibrant research lab at SFU focused on pushing the boundaries of 3D scene understanding with machine learning.
Tzu-Mao Li is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the University of California, San Diego (UCSD), affiliated with the Center for Visual Computing. His research focuses on differentiable graphics algorithms, combining classical visual computing with modern machine learning techniques. He holds a Ph.D. from MIT CSAIL under Frédo Durand and a postdoc at MIT and UC Berkeley with Jonathan Ragan-Kelley. His work spans rendering, programming languages for graphics, Monte Carlo methods, and inverse problems. Education: B.S. and M.S. from National Taiwan University (2011-2013), advised by Yung-Yu Chuang. Ph.D. from MIT CSAIL (Computer Graphics Group), advised by Frédo Durand. Postdoctoral research at MIT and UC Berkeley with Jonathan Ragan-Kelley. Research Interests: Differentiable rendering, Monte Carlo integration, programming language design for visual computing, physical simulation, adversarial machine learning, and applications in computer vision and robotics. Key areas include rendering algorithms (path tracing, bidirectional methods), optimization techniques (MCMC, gradient-based), and neural representations (SDFs, neural fields). Publications focus on advancing rendering algorithms, differentiable systems, and applications in inverse problems. Notable contributions include edge sampling for differentiable rendering, warped-area sampling, and diffusion models for BSDF sampling. Awards: ACM SIGGRAPH 2020 Outstanding Doctoral Dissertation Award, multiple Best Paper Awards at SIGGRAPH, and oral presentations at ICCV. Teaching: Courses include CSE 167 (Computer Graphics), CSE 168 (Rendering), and CSE 272 (Advanced Image Synthesis), emphasizing physically-based methods and programming.
Jonathan T. Barron is a Researcher at Google DeepMind in San Francisco, specializing in Computer Vision , Neural Rendering , and 3D Scene Reconstruction . He earned his PhD at UC Berkeley under Jitendra Malik and has pioneered advancements in NeRF (Neural Radiance Fields) and diffusion-based 3D generation. Research Interests : Computer Vision, Deep Learning, Generative AI, Image Processing, and 3D Reconstruction via Radiance Fields. His work includes Bolt3D for rapid 3D scene generation, CAT3D/CAT4D for text-to-3D/4D, and Zip-NeRF for anti-aliased radiance fields. He has also developed real-time rendering frameworks like SMERF and NeRF-Casting for reflections. Scientific awards: PAMI Young Researcher Award He has served as Area Chair for CVPR, ICCV, and NeurIPS, and his research is widely adopted in applications like Google's Lens Blur , Portrait Mode , and Jump VR .
Alenda Y. Chang serves as an Assistant Professor in Film and Media Studies at the University of California, Santa Barbara. With a multidisciplinary background spanning biology, literature, and film, she integrates ecocritical theory with contemporary media analysis. Her scholarly work appears in journals including Interdisciplinary Studies in Literature and Environment , Qui Parle , and electronic book review , focusing on sustainable media practices and ecological frameworks for digital engagement. Her educational background includes: M.A. and Ph.D. in Rhetoric from the University of California, Berkeley M.A. in English Language and Literature from the University of Maryland Chang specializes in environmental media and game studies, developing theoretical frameworks for ecological game design. Her research examines how digital games model environmental systems and foster player engagement with climate change through concepts like "slow violence" and "rambunctious play." She advocates for sustainable design patterns that address gaming's carbon footprint while creating immersive ecological narratives. Analysis of her 15 most recent publications reveals a consistent trajectory from foundational ecological game theory (2013-2018) to current work on thermal contexts of play and sustainable infrastructure (2022-2024). Her scholarship increasingly bridges data-driven activism with critical game design, emphasizing multispecies entanglements and infrastructural play as tools for environmental awareness. As co-founder of Wireframe—a collaborative media studio at UCSB—Chang cultivates critical game design practices through initiatives like growinggames.net . The studio supports data-driven global media art, environmental activism, and experimental pedagogy, serving as a hub for translating ecological theory into tangible digital interventions that challenge anthropocentric perspectives in gaming.
Stefanie Mueller is the TIBCO Career Development Associate Professor at MIT's Electrical Engineering and Computer Science Department, with joint affiliation in Mechanical Engineering. She leads the HCI Engineering Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL), focusing on advancing fabrication techniques through hardware/software innovations that enable novel object interactions. Develops computational fabrication methods combining photochromic dyes, lenticular lenses, birefringent materials, and optical illusions Co-chaired ACM CHI 2023 and ACM UIST 2020 program committees Recipients of 9 MIT EECS Best Undergraduate Researcher Awards among mentees Her research spans four key directions: Appearance-changing Objects: Photo-Chromeleon (ACM UIST 2019), Lenticular Objects (ACM UIST 2021), and Polagons (ACM CHI 2023) demonstrate reprogrammable surfaces through advanced materials and optical engineering. Tracking Systems: InfraredTags (ACM CHI 2022) and G-ID (ACM CHI 2020) enable passive object tracking via infrared markers and slicing artifacts. Embedded Sensing: MechSense (ACM CHI 2023) and Sprayable User Interfaces (ACM CHI 2020) integrate sensing capabilities into complex geometries. Curved Surface Prototyping: FlexBoard (ACM CHI 2023) and CurveBoard (ACM CHI 2020) develop specialized tools for non-planar electronics. Her recent publications focus on functionality segmentation (UIST 2023), fluorescent markers (UIST 2023), and machine-knitted haptics (UIST 2023). These works combine machine learning, material science, and interactive design principles to push fabrication boundaries. Scientific recognition includes: 2022 MIT Technology Review Innovators Under 35 2020 Microsoft Research Faculty Fellowship 2020 Alfred P. Sloan Research Fellowship 2019 ACM UIST Best Paper Award 2019 NSF CAREER Award 2018 MIT EECS Outstanding Educator Award 2017 Forbes 30 Under 30 in Science Mentoring 9 PhD students and over 20 master's students, her lab has produced 20+ publications at top HCI conferences. She redesigned MIT's 6.810 Engineering Interactive Technologies course during the pandemic, maintaining hands-on learning through home electronics kits and Slack-based collaboration.
Joseph Bentsman is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign's Grainger College of Engineering. He also holds affiliate appointments in the Department of Aerospace Engineering (since 2015) and the Department of Electrical and Computer Engineering (since 2018). His academic journey began with an M.S. from Byelorussian Polytechnic Institute in Minsk, USSR (1979), followed by a Ph.D. in Electrical Engineering from Illinois Institute of Technology (1984). Professor Bentsman's research focuses on control of nonlinear and distributed parameter systems, nonlinear oscillations, network control, stability theory, and stochastic multiscale methods. He pioneered a new class of dynamical systems with active singularities that admit control actions during singular phases of motion, which represent a novel category of hybrid systems characterized by impulsively controlled discrete transitions. His recent work has expanded into biomedical applications, particularly thermophysical modeling of tissue during electrosurgery and control of phase change processes. His recent publications (2021-2024) reveal a strong trend toward biomedical applications of control theory, particularly in modeling heat conduction in biological tissues, electrosurgical processes, and phase change phenomena. Approximately 60% of his recent work focuses on biomedical applications, while the remainder continues his foundational work on nonlinear control systems, distributed parameter systems, and systems with active singularities. Key subfields include Stefan problems, enthalpy-based control, telegraph equation modeling, and PDE-based control of complex physical processes. NSF Presidential Young Investigator Award (1989) Life Fellow of American Society of Mechanical Engineers Life Senior Member of IEEE IEEE Control Systems Society Technical Committee Chair on Power Generation (2015-2019) International Society of Automation POWID Achievement Award (2014) 2018 AIST Computer Applications Best Paper Award Featured in 'People in Control', IEEE Control Systems Magazine (2018) Professor Bentsman has been instrumental in developing educational approaches that integrate signal processing, instrumentation, control, and machine learning, as evidenced by his two textbooks. His work on the steel continuous casting process, particularly the mold oscillation system, has led to practical industrial applications. He has also made significant contributions to power plant control systems and boiler/turbine control. His research group appears to focus on both theoretical control systems development and practical implementation in industrial and biomedical settings, with strong connections to steel manufacturing, power generation, and medical device industries.
Joseph Eremondi is an Assistant Professor in the Department of Computer Science at the University of Regina, Faculty of Science, Canada. He began his tenure in 2024 after serving as a Royal Society Newton International Fellow at the University of Edinburgh, where he conducted postdoctoral research with Ohad Kammar in the Laboratory for Foundations of Computer Science. He earned his PhD from the University of British Columbia (UBC) under the supervision of Ron Garcia at the UBC Software Practices Laboratory. His research is centered on programming languages theory, with a strong focus on type systems that enhance software reliability and usability. He is particularly known for his work in dependent types, gradual typing, and the integration of both paradigms. His research interests include: Dependent pattern matching and its semantic foundations Gradual dependent types and approximate normalization Error message generation and usability in dependently typed languages Static analysis using set constraints and SMT solvers Theoretical properties of reversal-bounded counter automata and shuffle operations His recent publications, appearing in premier venues like POPL, ICFP, and CPP, reflect a consistent trajectory toward making advanced type systems more accessible and practical. Key themes include coverage semantics for dependent pattern matching, formal models of gradual dependent typing, and improving the developer experience through better tooling and error diagnostics. Notable scientific recognitions include the NSERC Discovery Grant (awarded in 2025) and the prestigious Royal Society Newton International Fellowship. These awards underscore the impact and promise of his research program on the usability of dependently typed programming languages. Joseph is actively mentoring and recruiting graduate students, particularly in areas such as dependently typed programming (Lean, Agda, Idris, Coq), gradual typing, live programming environments, and static analysis. He emphasizes close collaboration within a small, focused research group. He has also served on program committees, including for TyDe and POPL Artifact Evaluation, demonstrating active engagement in the programming languages community. His work bridges theoretical rigor with practical implementation, evident in his artifact releases on GitHub and integration with tools like Ott and DrRacket. He maintains a personal website and open-source repositories that support reproducibility and community involvement.
Timothy John O'Brien is a Professor of Astrophysics and Associate Director of the Jodrell Bank Centre for Astrophysics at the University of Manchester, Faculty of Science & Engineering, Department of Physics & Astronomy. He also served as Director of Teaching & Learning in the Department of Physics & Astronomy from 2016-2020 and as Associate Dean for Social Responsibility for the Faculty of Science & Engineering during the same period. His educational background includes a B.Sc. (Hons) in Physics with Astrophysics from the University of London (1985) and a Ph.D. in Astrophysics from the University of Manchester (1990). Professor O'Brien's research concentrates on the study of exploding stars—mainly nova outbursts caused by thermonuclear explosions on the surface of white dwarfs in binary star systems. Over the years, he has developed expertise in a wide range of astrophysical techniques, working across the spectrum from radio waves to X-rays while also carrying out numerical simulations of the aftermath of explosions using his own hydrodynamic codes. Recently, he has developed an interest in the search for extra-terrestrial intelligence (SETI) using radio telescopes. His research fingerprint shows strong activity in Novae (100%), Optical Bursts (94%), Recurrent Novae (56%), Ejecta (45%), Planetary Nebula (38%), Emissions (32%), Classical Novae (32%), and Nebula (28%). His recent publications demonstrate a continued focus on nova outbursts, particularly in symbiotic novae systems like RS Ophiuchi, with high-resolution imaging techniques and multi-wavelength observations. His work spans theoretical modeling, observational astronomy across the electromagnetic spectrum, and data analysis from major telescope facilities. Kelvin Medal of the Institute of Physics (2014) for Public Engagement Professor O'Brien has extensive teaching experience, having worked as a lecturer in three universities since 1988. He has taught a wide range of courses in astronomy & astrophysics, physics, applied mathematics, and computing. From 1999-2009, he directed a distance learning program in astronomy that enrolled over 1,300 students. His current teaching includes Dynamics, Physics of the Solar System, and a course on the Search for Extraterrestrial Life. He has also supervised numerous project students throughout his career. He is actively involved in public engagement, including regular media appearances and events at the Jodrell Bank Centre for Engagement. He was a co-founder of the bluedot festival and contributed to the successful nomination of Jodrell Bank Observatory as a World Heritage Site in 2019.
Nedim Pervan is a Full Professor at the Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and Herzegovina. His academic position focuses on mechanical engineering with emphasis on product design, structural analysis, and biomechanical applications. He maintains an active research profile with numerous publications and collaborations across various engineering disciplines, with office hours every workday from 09:00 to 10:00 in room 314. Professor Pervan's research interests span multiple domains of mechanical engineering. He has made significant contributions to additive manufacturing, particularly in polymer gear production and analysis. His work explores mechanical properties, failure mechanisms, and service life of polymer gears manufactured through additive processes. Additionally, he has conducted extensive research on external fixation devices used in orthopedic treatments, analyzing their biomechanical characteristics and structural stability under various loading conditions. His expertise extends to finite element analysis, structural optimization, and the application of 3D scanning technologies within Industry 4.0 contexts. His research demonstrates a strong connection between theoretical engineering principles and practical applications across automotive, medical devices, and manufacturing industries. His recent publication record reveals a strong trend toward interdisciplinary research bridging mechanical engineering with biomedical applications and advanced manufacturing technologies. A significant portion of his work focuses on polymer gears and additive manufacturing, examining material properties and performance characteristics. Another substantial research stream involves biomechanical engineering, particularly the analysis of external fixation devices. His publications demonstrate a methodological approach combining experimental testing with finite element analysis. More recently, his research has expanded into 3D scanning applications in manufacturing and the electrification of transportation systems in Bosnia and Herzegovina. Professor Pervan has been involved in numerous research projects that have advanced the capabilities of the Faculty of Mechanical Engineering. These include the "Integrated Intelligent CAD System for Interactive Design, Analysis and Prototyping of Compression and Torsion Springs" (2022), "Opremanje Laboratorije za razvoj i dizajn proizvoda" (2020), and "Modernizacija Laboratorije za ispitivanje mašinskih konstrukcija" (2019-2020). These projects have focused on developing advanced laboratory facilities, intelligent CAD systems, and equipment for mechanical design and analysis, with several specifically targeting 3D scanning technology implementation. His collaborative work extends across multiple research teams within the Department of Mechanical Constructions at the University of Sarajevo. He frequently collaborates with researchers including Adis Muminović, Elmedin Mešić, and Muamer Delić on projects related to additive manufacturing, biomechanical engineering, and structural analysis. His research group appears actively involved in both theoretical and applied engineering research with practical industrial and medical applications, contributing significantly to Bosnia and Herzegovina's engineering research landscape.
Professor George Britovsek (FRSC) is a leading figure in catalysis and sustainable carbon management at Imperial College London . As Director of the MRes in Catalysis & Engineering and Head of Teaching in Inorganic Chemistry, he bridges academic leadership with cutting-edge research. His work focuses on transition metal complexes for converting ethylene , alkanes , biomass , and CO₂ into valuable chemicals and fuels through industrial collaborations. Education : M.Sc. (Technical University of Aachen, 1990), Ph.D. (Aachen, 1993) under Prof. W. Keim Postdoctoral Training : University of Tasmania (1994-1996), Imperial College London (1996-2000) His research interests span: Selective oxidation of alkanes using bio-inspired iron complexes Alkene conversions to functional polymers via novel catalysts CO₂ valorization into polymers and cyclic carbonates Biomass-derived feedstocks for chemical synthesis Recent catalysis trends highlight his work on: Designing Fe-N/C catalysts for epoxidation Developing PN3P pincer ligands for H₂ activation Creating degradable polyethylene via iron-catalyzed chain growth Modeling alternating α-olefin distributions in chromium systems Awards : Fellow of the Royal Society of Chemistry (FRSC) Students & Collaborators actively engage in: Photocatalytic polymer degradation Electrocatalytic CO₂ conversion Functionalized polymeric materials 3D-printed catalytic scaffolds His Britovsek Research Group operates at the Molecular Sciences Research Hub, White City Campus, advancing both homogeneous and heterogeneous catalysis through experimental and computational approaches.
Mark Martinez-Klimov is a researcher in the Department of Chemical Engineering at Åbo Akademi University, Faculty of Science and Engineering. His work focuses on catalysis for sustainable energy and renewable fuel production, with an emphasis on heterogeneous catalysis, biomass conversion, and CO2 utilization. He is actively involved in experimental and kinetic studies of catalytic processes. Research Interests: His primary research areas include hydrodeoxygenation, dry methane reforming, combustion synthesis, and catalytic upgrading of bio-oil and biomass derivatives. He investigates catalyst design, deactivation mechanisms, and process optimization using advanced characterization techniques such as X-ray diffraction, scanning electron microscopy, and thermogravimetric analysis. His work supports the development of cleaner energy technologies and circular chemical processes. The analysis of his recent publications (2021–2025) reveals a consistent focus on sustainable catalytic processes, particularly in renewable jet fuel production, hydrogenation of sugars, and CO2 valorization. His research spans both fundamental catalyst development and applied reaction engineering, often in continuous flow systems such as trickle bed reactors. The work integrates material science with chemical engineering principles to address challenges in energy transition. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students or grants are not listed, his collaborative publication pattern with senior researchers like Dmitry Murzin and Pavel Mäki-Arvela suggests involvement in major research projects, likely funded by national or EU-level grants. He appears to contribute to team-based research in catalysis and sustainable technologies, potentially mentoring junior researchers and PhD students within the group. Labs and Teams: Mark is part of a prominent catalysis research group at Åbo Akademi University, specializing in sustainable chemical processes. The team leverages advanced synthesis methods (e.g., solution combustion, impregnation) and characterization tools to develop novel catalysts for energy and environmental applications. Their work is highly collaborative, involving both national and international partners in the field of green chemistry and renewable fuels.
Nuri Yazdani is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, Switzerland. Based at the Institute for Electronics (Institut für Elektronik) in Zurich, Dr. Yazdani contributes to both teaching and research in advanced materials and nanotechnology. His work spans multiple interdisciplinary areas connecting physics, chemistry, and electrical engineering, with particular emphasis on nanocrystal-based materials and their applications in electronics and optoelectronics. Dr. Yazdani's research focuses on the synthesis, characterization, and application of nanomaterials, particularly semiconductor nanocrystals and quantum dots. His work explores the fundamental physical properties of these materials, including exciton-phonon interactions, structural ordering in multicomponent systems, and charge transport mechanisms in nanocrystal assemblies. He investigates how nanoscale phenomena affect macroscopic material properties, with applications ranging from catalysis to optoelectronic devices. His approach combines experimental techniques like small-angle X-ray scattering with theoretical modeling to understand structure-property relationships in nanomaterials. Analysis of Dr. Yazdani's recent publications reveals a strong emphasis on perovskite and chalcogenide nanocrystals, with particular interest in how structural features like cation distribution, octahedral tilting, and surface chemistry affect optical and electronic properties. His work bridges fundamental physics with practical applications, spanning from quantum optics to energy conversion technologies. A recurring theme is the investigation of size-dependent phenomena and the role of phonons in determining material behavior at the nanoscale. Dr. Yazdani collaborates extensively with researchers across multiple institutions and disciplines, as evidenced by his authorship on numerous multi-investigator publications. His work appears in high-impact journals including Nature Communications, Journal of the American Chemical Society, and Nature Physics, reflecting the significance and interdisciplinary nature of his contributions to nanoscience and nanotechnology.
Amro Awad is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at North Carolina State University's College of Engineering. He previously served as an Assistant Professor at the University of Central Florida and as a Senior Member of Technical Staff at Sandia National Laboratories. Dr. Awad earned his Ph.D. and Master's in Computer Engineering from NC State and a Bachelor's from Jordan University of Science and Technology. Research Focus His research spans computer architecture and security, emphasizing secure hardware systems , memory security , and integration of emerging technologies . Key contributions include novel approaches to secure and efficient GPU memory management, FPGA resource scheduling, and DRAM simulation. Publications & Awards Dr. Awad's work appears in top-tier venues like ISCA, MICRO, ASPLOS, and HPCA. He holds six U.S. patents and received the prestigious R. Ray Bennett Faculty Fellow Award and recognition as a Goodnight Early Career Innovator . Funding & Collaborations His research group has been supported by DARPA , Sandia National Laboratories , NSF , Naval Surface Warfare Center , and Air Force Research Lab . Collaborations include AMD Research, Los Alamos National Lab, HP Labs, and Air Force Research Laboratory.
Dr. Darryl Dickerson is an Assistant Professor in the Department of Mechanical and Materials Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on mechanical characterization of biological interfaces, design of bioinspired materials, and advancing inclusive engineering education practices. He holds a Ph.D. (details not explicitly provided in text). Research Interests: Dr. Dickerson’s work bridges biomechanics and biomaterials engineering with social equity in education. Key areas include: Mechanical properties of biological interfaces (e.g., bone-cartilage junctions) Development of biomaterials for tissue repair using 3D printing and electrospinning Anti-marginalization strategies in engineering education, particularly for Black and Brown students Publications Trends: Recent work emphasizes dual themes: (1) Biomedical innovation through advanced material fabrication and (2) Inclusive pedagogy addressing systemic inequities in STEM education. Notable contributions include scaffold designs for osteochondral repair and frameworks for reducing microaggressions in team-based learning. Grants and Advising: No specific grants or advisees listed in the provided text. His work appears to be grant-funded through NIH/National Science Foundation pathways common in biomaterials and education research. Labs and Teams: While not explicitly stated, his research likely involves collaborations with FIU’s Center for Engineering and Computing’s diversity initiatives and biomaterials labs focusing on tissue engineering applications.
