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Bradley D. Olsen is a full professor in the Department of Chemical Engineering at the Massachusetts Institute of Technology (MIT), where he leads research at the intersection of polymer science, soft matter physics, and bioengineering. His work focuses on designing materials for critical applications in biotechnology, hemostasis, and sustainable polymer development while advancing fundamental understanding of polymer network mechanics and self-assembly. Education: Ph.D. in Chemical Engineering, University of California Berkeley (2007) S.B. in Chemical Engineering, Massachusetts Institute of Technology (2003) Olsen's research spans protein-based materials, block copolymer phase behavior, and mechanochemical hydrogels. He has pioneered methods for quantifying polymer network topology, developing hemostatic nanoparticles, and creating bio-inspired materials for selective biomolecular transport and medical applications. His recent publications emphasize data-driven approaches to polymer characterization and educational outreach in materials science. Scientific Awards: American Physical Society (APS) Fellow (2023) Fulbright Amazonia Scholar (2023) Alexander and I. Michael Kasser Chair in Chemical Engineering (2021) ACS Macro Letters Young Investigator Award (2021) MIT Committed to Caring Honor (2019) AIChE Owens Corning Early Career Award (2019) APS Dillon Medal (2018) Kavli Emerging Leader in Chemistry (2017) ACS Polymer Division Fellow (2016) Camille Dreyfus-Teacher Scholar (2015) Alfred P. Sloan Research Fellow (2014) NSF Career Grant (2013) NIH Postdoctoral Fellowship (2008-2009) Hertz Fellow (2003-2007) Barry M. Goldwater Scholarship (2002) Olsen has received significant grant support including NSF Career (2013) and AFOSR (2012) awards. His teaching activities include innovative international outreach like the 2025 soccer-themed science camp in Brazil. The Olsen Group at MIT explores advanced materials with applications ranging from trauma care to sustainable polymers.

• Polymer Science
• Materials Engineering
• Soft Condensed Matter Physics
• +4 more

Ankit Saxena serves as Assistant Professor in the Department of Mechanical Engineering at the University of Wyoming since 2024, focusing on innovative applications of additive manufacturing in structural engineering and materials science. His work bridges theoretical design with practical implementations in energy, aerospace, and robotics systems. Education: Ph.D. in Mechanical Engineering, Penn State University (2024) M.S. in Mechanical Engineering, Penn State University (2020) B.S. in Mechanical and Automotive Engineering, Delhi Technological University (2016) Dr. Saxena's research centers on developing adaptive stiffness structures , meta-materials , and functionally graded systems through advanced additive manufacturing techniques. His work specifically targets energy applications (nuclear, wind, hydrogen, oil/gas) and aerospace challenges, with emphasis on structural health monitoring and vibration damping. The SUMMIT Lab under his direction creates multi-functional materials enabling shape morphing and self-strengthening properties for next-generation engineering solutions. His publication record (2020-2024) reveals a consistent trajectory toward multi-physics meta-material design , with dominant themes in TPMS lattice optimization, fluid-structure interaction systems, and medical robotics applications. Key methodological contributions include novel fluid accumulator integration, laser powder bed fusion parameterization, and non-pneumatic tire architectures. Scientific Recognition: ASME Graduate Teaching Fellow (2022-2024) Harold F. Martin Graduate Assistant Outstanding Teaching Assistant Award (Penn State, 2023) Dr. Saxena teaches core materials courses (ME 3450: Properties of Materials; ME 4150: Mechanical Behavior of Materials) while expanding his research group through active recruitment of PhD candidates for 2026. His teaching philosophy emphasizes practical applications of theoretical concepts, recognized through multiple Penn State teaching fellowships. The SUMMIT Lab operates at the intersection of Wyoming's energy priorities and cutting-edge manufacturing research, maintaining strategic focus on renewable energy infrastructure and aerospace applications through metal additive manufacturing innovations.

• Adaptive materials and structures
• Meta-materials
• Additive manufacturing
• +4 more

Rudolf Neu serves as Professor at the Technical University of Munich (TUM) within the School of Engineering and Design, holding a dual appointment as head of an independent research group at the Max Planck Institute for Plasma Physics (IPP) since 2014. His expertise centers on plasma-material interactions critical for fusion energy development. His academic foundation includes: Physics studies at University of Tübingen Doctorate in Nuclear Physics (1992) Habilitation in Experimental Physics at University of Tübingen (2004) Professor Neu's research pioneers tungsten-based materials for fusion reactor first walls, addressing extreme thermal and plasma conditions in devices like ASDEX Upgrade and ITER. His work bridges materials science and plasma physics to solve erosion, impurity control, and component longevity challenges essential for viable fusion power. Publication trends reveal progressive refinement from experimental ASDEX Upgrade studies (2009-2013) toward advanced tungsten solutions for DEMO reactors (2016), consistently targeting plasma-facing component durability. This trajectory demonstrates strategic alignment with international fusion roadmap milestones. Key recognition includes: Highly Cited Researchers designation (ISI Engineering category, 2014) His leadership spans critical fusion initiatives including JET task force coordination (2011-2012) and EFDA's ITER Physics Department direction (2012-2013), establishing him as a central figure in Europe's fusion research infrastructure.

• Plasma-Material Interactions
• Nuclear Fusion
• Materials Science for Fusion Reactors
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Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He has been on the faculty since 1992 and leads the NextManufacturing Center, focusing on additive manufacturing (AM) research. His work emphasizes process mapping for AM, material science, and machine learning integration in manufacturing processes. Key affiliations include the Engineering Research Accelerator and the Manufacturing Futures Institute. Education: Ph.D. in Engineering Sciences, Harvard University (1992) M.S. in Engineering Sciences, Harvard University (1989) M.S. in Engineering Science and Mechanics, Virginia Tech (1987) B.S. in Engineering Science and Mechanics, Virginia Tech (1984) Research Interests: Additive Manufacturing (process modeling, material characterization, and defect analysis) Melt pool dynamics and thermal modeling Machine learning for process optimization and quality control Advanced materials for AM (e.g., Ti-6Al-4V, Inconel 718) His research has led to innovations like 'process map' approaches for AM, enabling better control over variables such as melt pool geometry and microstructure. Awards and Recognition: Ralph R. Teetor Educational Award (1998) George Tallman and Florence Barrett Ladd Development Professorship (2000) ASME Curriculum Innovation Award (2005) Benjamin Richard Teare Teaching Award (2009) Grants and Collaborations: $3.5M cooperative agreement with the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) for AI-driven AM process optimization. Collaborations with Westinghouse Electric Company on 3D-printed nuclear components, such as spacer grids for pressurized water reactors. Labs and Teams: NextManufacturing Center: A research hub for AM innovation, emphasizing industrial partnerships and applied research. Beuth’s Additive Lab: Specializes in melt pool analysis, process mapping, and material behavior under AM conditions.

• Additive Manufacturing
• Manufacturing Processes
• Solid Mechanics
• +6 more

Jeff Schneider is a Research Professor at the Robotics Institute within the School of Computer Science at Carnegie Mellon University. His research focuses on active learning, data mining, reinforcement learning, optimization, and intelligent control , applied to industrial and commercial challenges. Current PhD Students : Anoushka Alavilli, Benjamin Freed, Tejus Gupta, Albert Xu, Brian Yang Current Masters Students : Wen-Tse Chen, Xintong Duan, Aman Mehra, Vedant Mundheda, Zhouchonghao Wu Past PhD Students : J. Andrew Bagnell, Viraj Mehta, Matthew Tesch Past Masters Students : Ravi Tej Akella, Swapnil Pande, Siddharth Venkatraman Schneider's research bridges machine learning and autonomous systems , particularly in reinforcement learning , multi-robot coordination , and self-driving car technology . His work emphasizes practical applications of learning algorithms in real-world scenarios. His recent publications highlight advancements in offline reinforcement learning , multi-agent policy coordination , and behavior planning for autonomous vehicles . These studies often integrate deep learning and probabilistic modeling to address complex control and decision-making problems. Labs: Auton Lab CMU Center for Autonomous Vehicle Research Consulting & Industry Impact: Schneider has consulted for organizations like Uber ATG, Psychogenics, and Schenley Park Research, applying machine learning to domains such as self-driving cars , nuclear fusion , marketing , and drug discovery .

• Machine Learning
• Autonomous Systems
• Reinforcement Learning
• +7 more

Dr. Kevin Kochersberger is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech , with a career spanning academic research, technical innovation, and educational leadership. His work focuses on autonomous aerial systems , robotic control , and applied aerodynamics , particularly through the Uncrewed Systems Laboratory . Kochersberger's research has pioneered UAV-based radiation detection , 3D terrain mapping , and low-resource drone applications , including establishing the African Drone and Data Academy in Malawi . Education: Ph.D., Mechanical Engineering, Virginia Tech (1994) M.S., Mechanical Engineering, Virginia Tech (1984) B.S., Mechanical Engineering, Virginia Tech (1983) A.S., Engineering Science, Jamestown Community College (1981) Kochersberger's publications demonstrate expertise in UAV path planning , smart material actuation , and radiation source localization , with over $9M in research funding. His scientific awards include AIAA Associate Fellow (2009) and Aviation Week Aerospace Laureate (2003). Notable projects involve helicopter-deployable robotic systems and urban canyon navigation without GPS. Recent articles highlight BVLOS drone simulators , 2.5D terrain mapping , and autonomous negative obstacle traversal , reflecting his focus on real-time adaptive control and heterogeneous robotic systems . He teaches Drone Technology and Flight Operations and Advanced Design Projects , emphasizing student-driven innovation and industry collaboration .

• Dynamics and control
• Autonomous aerial systems
• Applied aerodynamics
• +7 more

Brian W. Pogue, Ph.D., is the Robert A. Pritzker Chair in Biomedical Engineering at Dartmouth College's Thayer School of Engineering, with a joint appointment as an Honorary Fellow in Medical Physics at the University of Wisconsin-Madison. His academic background includes a Ph.D. in Medical/Nuclear Physics from McMaster University and a Research Fellowship at Harvard Medical School's Wellman Center for Photomedicine. He has led significant administrative roles, including Dean of Graduate Studies at Dartmouth (2008–2012) and Chair of Medical Physics at Wisconsin (2022–2025). Research Focus : Dr. Pogue pioneers Optics in Medicine , specializing in cancer imaging, photodynamic therapy, and surgical guidance. His work integrates fluorescence imaging, radiation therapy monitoring, and molecular diagnostics to improve cancer treatment precision. Key innovations include Cherenkov imaging for radiotherapy dosimetry and hypoxia-sensitive probes for tumor resection. Publication Trends : Recent articles (2023–2025) emphasize real-time surgical guidance, hypoxia quantification, and multimodal imaging systems. Dominant themes include fluorescence tomography, radiation dosimetry, and low-cost diagnostic devices, reflecting a translational focus from preclinical validation to clinical applications. Awards & Honors : Fellow, Optica (formerly OSA) Fellow, American Institute for Medical and Biological Engineering (AIMBE) Fellow, American Association of Physicists in Medicine (AAPM) Fellow, SPIE (International Society for Optics and Photonics) Funding & Innovation : Continuously funded by the NIH since 2001 ($52M+ total), Dr. Pogue founded three startups: DoseOptics LLC (radiotherapy dose imaging) and Hypoxia Surgical LLC (tissue hypoxia cameras), bridging academic research to clinical tools.

• Optics in Medicine
• Cancer Imaging
• Photodynamic Therapy
• +5 more

Oliver Schmitz is a Professor in the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison, where he leads research in plasma edge physics for magnetic confinement fusion and next-generation particle accelerators. His work bridges experimental plasma science, computational modeling, and diagnostic development with applications in both tokamaks and stellarators. Education: PhD (2006), Heinrich-Heine-Universität Diploma (2003), Rheinische Friedrich-Wilhelms-Universität Professor Schmitz's research focuses on 3D plasma edge transport phenomena, plasma-wall interactions, and helicon plasma generation for wakefield accelerators. His group employs advanced computational tools like EMC3-EIRENE for 3D plasma edge modeling and develops active spectroscopic diagnostics to measure plasma parameters through atomic emission analysis. Key themes include resonant magnetic perturbation effects in tokamaks, inherent 3D physics in stellarators, and high-density plasma sustainment for accelerator applications. He actively develops atomic models to interpret spectroscopic data and operates helicon plasma test stands for fundamental process studies. Recent publications reveal strong emphasis on experimental-computational integration for fusion boundary physics, with significant contributions to ITER divertor solutions, stellarator exhaust optimization, and plasma-facing materials. The work shows growing focus on wakefield accelerator diagnostics through helicon plasma sources and advanced spectroscopy, alongside persistent innovation in 3D modeling of plasma-material interfaces. Scientific Awards: 2020 Thomas and Suzanne Werner Chair Professorship 2018 UW Madison Teaching Academy Fellow 2017 ITER Science Fellowship & Vilas Mid-Career Award 2015 DOE Early Career Award & NSF CAREER Award 2011 Torkil Jensen Award (General Atomics) 2007 Günther-Leibfried-Preis (Jülich) Professor Schmitz directs multiple DOE/NSF-funded research programs including his UW Madison laboratory and AWAKE project contributions at CERN. He mentors graduate students through NE 890/990 thesis research courses and has developed nationally recognized K-12 outreach including the "Plasma Show" for elementary schools and "Plasma Academy" for high-school educators developing AP Physics curriculum modules. His leadership extends to university governance through the Kaufman seminar on academic leadership. His research group operates helicon plasma test stands and computational facilities for EMC3-EIRENE simulations, with current efforts focused on high-density plasma sources for accelerators and resilient divertor solutions for stellarators. The group maintains strong international collaborations with ITER, CERN, and major fusion facilities worldwide.

• Plasma Edge Physics
• Plasma Wall Interaction
• Three-Dimensional Plasma Edge Transport
• +6 more

Roger J.E. Jaspers is an Associate Professor at Eindhoven University of Technology (TU/e) and a part-time Professor at Ghent University in Belgium, affiliated with the Applied Physics and Science Education school and specializing in the Science and Technology of Nuclear Fusion. His research focuses on spectroscopic diagnostics of ion processes in fusion plasmas, particularly energetic alpha particles in fusion-born reactions. Collaborations include international fusion experiments like W7-X (Germany), JET (UK), and KSTAR (South Korea). He leads the scientific R&D for the ITER CXRS instrumentation system and has authored over 90 peer-reviewed papers. His work spans topics such as: Relativistic electrons Plasma energy transport Magneto-hydrodynamics (MHD) Fusion reactor instrumentation He contributes to educational initiatives like the TU/e Fusion Master program, FUSENET, and the Erasmus Mundus Programme FUSION-DC.

• Energetic particles in fusion plasmas
• Alternative fusion concepts
• Plasma physics
• +4 more

Scott Kemp is an Associate Professor at the Massachusetts Institute of Technology (MIT) within the Department of Nuclear Science and Engineering , where he also directs the Laboratory for Nuclear Security and Policy . His interdisciplinary research bridges physics, political science, and history to address challenges in nuclear security, energy policy, and critical infrastructure protection . Education: B.Sc. in Physics from University of California, Santa Barbara; Ph.D. in Public and International Affairs from Princeton University Research focuses on: Strategic implications of hypersonic and advanced conventional weapons Securing vulnerabilities in energy/water/gas infrastructure Technological tools for nuclear disarmament verification Decarbonization policy frameworks Scientific recognition includes: Fellow of the American Physical Society (2017) Sloan Research Fellowship in Physics (2016) NEC Corporation Award in Computation (2015) Fulbright Fellow (2003) As an academic advisor in MIT's Energy Studies Program , he mentors students in policy-science intersections while serving on the International Policy Lab and President’s Committee for Distinguished Fellowships .

• Nuclear Security
• Policy Analysis
• Critical Infrastructure Protection
• +3 more

Sharon Rozovsky is a Professor in the Department of Chemistry and Biochemistry at the University of Delaware's College of Arts & Sciences, where she leads research on oxidative stress response mechanisms and protein quality control pathways. Her work bridges biochemistry, chemical biology, and structural biology with direct implications for understanding neurodegenerative diseases and viral pathogenesis. Her academic foundation includes a B.S. from Tel Aviv University (1994) and a Ph.D. from Columbia University (2000), establishing her expertise in protein dynamics and redox biochemistry. These credentials underpin her innovative approaches to studying cellular stress responses. Rozovsky's research program centers on selenoproteins—proteins containing the rare amino acid selenocysteine—and their critical roles in endoplasmic reticulum (ER) stress resolution. She investigates how membrane-bound selenoproteins like Selenoprotein S and K regulate the ER-associated degradation (ERAD) pathway, with recent work revealing their surprising autoproteolytic activity and involvement in SARS-CoV-2 replication. Her lab pioneers chemical tools including expressed protein ligation and advanced 77Se NMR spectroscopy to characterize these systems at molecular resolution. Analysis of her 2021-2025 publications shows dominant themes in selenoprotein structure-function relationships, ER stress mechanisms, and viral interactions, alongside methodological innovations in cryo-EM grid technology and NMR. This body of work demonstrates consistent focus on redox biochemistry with expanding applications in virology and structural biology. No major scientific awards or fellowships were explicitly documented in the available materials, though her research impact is evident through high-impact publications and methodological contributions. She directs the active Rozovsky Research Group, mentoring graduate students and postdoctoral researchers in biochemical and biophysical techniques. Her laboratory operations are supported by competitive funding including an NSF CAREER award (2011) focused on selenoprotein reactivity, reflecting sustained recognition of her innovative research program.

• Oxidative Stress
• Protein Quality Control
• ERAD Pathway
• +5 more

Steven Meikle is a Professor of Medical Imaging Physics and Head of the Imaging Physics Laboratory at the Brain and Mind Centre, University of Sydney. He also serves as Deputy Director (Preclinical) of Sydney Imaging and Deputy Director of the National Imaging Facility's Sydney node. His expertise spans advanced imaging technologies, with a focus on PET/SPECT instrumentation and molecular imaging. He holds a B.App.Sc.(Hons) from the University of Technology Sydney and a PhD from the University of New South Wales. Research focuses include developing novel PET systems like Open-field PET (for freely moving rodents) and Total Body PET, which enhance imaging sensitivity and enable real-time behavioral studies alongside brain function analysis. Collaborations include Tsinghua University (China) and UC Davis (USA). He leads projects on motion correction, quantitative imaging, and AI-driven analysis. Key achievements include over 180 peer-reviewed publications, editorial roles in Physics in Medicine and Biology , and leadership in professional societies. Awards include IEEE Senior Membership and Australian Institute of Physics Fellowship. Current student projects explore Total Body PET applications, motion correction, and radiopharmaceutical evaluation. Teaching roles include medical physics courses in diagnostic radiography and medical physics programs. He advises on imaging ethics, facility implementation, and translational research bridging basic science and clinical applications.

• Medical Imaging
• Molecular Imaging
• Neuroscience
• +3 more

Dr. Athanasios Toumpis is a Senior Lecturer in Mechanical and Aerospace Engineering at the University of Strathclyde, UK. He holds a Master of Science from the University of Glasgow (2012) and a Master of Engineering from the National Technical University of Athens (2003). His research focuses on friction stir welding (FSW), steel metallurgy, and fatigue analysis of structural materials. Key areas include defect analysis in FSW joints, thermal-mechanical behavior of materials, and gigacycle fatigue testing of welded steels. He has led multiple research projects funded by organizations like the Royal Society and Weir Group, including the development of novel FSW technologies for nuclear applications and investigations into steel joint performance under extreme conditions. Dr. Toumpis has authored over 50 publications, with recent work emphasizing very high-cycle fatigue behavior and additive manufacturing processes. He actively participates in international conferences and serves as a principal investigator on various collaborative projects. His teaching includes courses on applied metallurgy, biomaterials, and materials selection. Research Interests: Friction stir welding of low-alloy and stainless steels Fatigue analysis of welded joints, including gigacycle testing Thermal-mechanical analysis of additive manufactured materials Metallurgical characterization of dissimilar material joints Environmental impact assessment of manufacturing processes Professional Activities & Awards: Recipient of the Global Engagement Fund (2024) Organized the First Joint International Conference on Advances in Mechanical and Aerospace Engineering (2023) Participant in the International Institute of Welding Assembly (2024) and Very High Cycle Fatigue Conference (2024) Hosted visiting researchers and collaborated with institutions like Graz University of Technology Grants & Projects (Recent): Development of a novel friction stir additive manufacturing technology (Royal Society, 2025–2026) Investigation of friction stir welded steel joints for giga-cycle applications (Weir Group, 2025–2027) ESCO buckets weld performance investigation (University of Strathclyde, 2024–2027)

• Friction stir welding
• Steel metallurgy
• Materials engineering
• +4 more

Professor Tim Dodwell holds a personal chair in Machine Learning at the University of Exeter, spanning the Department of Mechanical Engineering and the Institute of Data Science and AI. He leads the Data Centric Engineering Group and serves as co-founder and CTO of digiLab, a deep tech startup. His prestigious appointments include a 5-year Turing AI Fellowship from the Alan Turing Institute and the Romberg Visiting Professorship at Heidelberg University in Scientific Computing. His academic foundation includes a 1st class BSc in Mathematics from the University of Bath (2004-2008) and a PhD in Applied Mathematics from the Bath Institute of Complex Systems (2009-2012), where he researched variational models for complex materials under Professors Giles Hunt and Mark Peletier. Dodwell's research pioneers the intersection of applied mathematics, probabilistic machine learning, and high-performance computing, with signature contributions to Multilevel Methods in Bayesian Inverse Problems , Generative Hybrid Modelling , and Machine Learning in Safety Critical Engineering . His work bridges theoretical data science with industrial applications across nuclear fusion, aerospace materials, air traffic control, nuclear decommissioning, water treatment, and urban solar energy systems. His major recognitions include: Turing AI Fellowship (2019-2024) Romberg Visiting Professorship at Heidelberg University Visiting Professorship at MIT Prize Fellowship in Engineering Mathematics (2013-2015) Pro Vice Chancellors Fellowship (2015-2018) Through competitive fellowships and digiLab initiatives, Dodwell secures funding for uncertainty quantification research while driving real-world impact in sustainability sectors. His dual academic-industry roles enable rapid translation of theoretical advances into engineering solutions, particularly through digiLab's twinLab platform which delivers 60,000x acceleration in simulation workflows. He directs the Data Centric Engineering Group at Exeter and co-founded digiLab's multidisciplinary team comprising AI specialists, domain experts, and educators. The organization operates through three synergistic pillars: developing AI solutions for critical infrastructure, building the twinLab platform for industrial ML deployment, and running an ML academy for practitioner training through datacamps, internships, and specialized courses.

• Machine Learning
• Probabilistic Machine Learning
• Uncertainty Quantification
• +4 more