Daniel M. Wolpert is a Professor of Neuroscience at Columbia University and Principal Investigator at the Zuckerman Institute. His research focuses on computational models of movement, integrating sensory cues and cognitive elements to understand motor control, memory, and rehabilitation strategies for cerebellar disorders. Key Research Areas: Sensorimotor integration, probabilistic inference, reinforcement learning, predictive modeling of movement, and aging effects on motor learning. Selected Awards: Royal Society Fellow (2012), Minerva Golden Brain Award (2010), Fulbright Scholarship (1992-1995). Recent publications highlight his work on contextual learning, motor memory formation, and the computational basis of sensorimotor uncertainty. His lab develops robotic interfaces to study human motor behavior and collaborates on clinical applications for movement disorders. Current opportunities include postdoctoral fellowships in sensorimotor control and decision-making.
Ian Bradley is an Assistant Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York. His research focuses on creating sustainable biological processes to address needs in engineered and natural systems for water and wastewater treatment and resource recovery. Education: PhD in Environmental Engineering, University of Illinois at Urbana-Champaign (2017) MS in Environmental Engineering, University of Illinois at Urbana-Champaign (2011) MS in Civil Engineering (Structures), University of Illinois at Urbana-Champaign (2010) Research Interests: Dr. Bradley specializes in microalgal-based nutrient recovery, wastewater surveillance for public health monitoring, PFAS degradation using nanomaterials, and sustainable resource recovery systems. His work integrates biological processes with environmental engineering to optimize wastewater treatment efficiency and develop predictive models for water quality and health outcomes. Publications: His recent research includes advancements in microalgal cultivation (EcoRecover process), wastewater-based epidemiology for SARS-CoV-2 tracking, and computational enzyme design for PFAS remediation. These studies demonstrate interdisciplinary expertise spanning environmental engineering, biotechnology, and public health analytics.
Giancarlo Ferrari Trecate is an Adjunct Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) , affiliated with the School of Engineering and the SCI-STI-GFT department. He is also involved in teaching and research through the STI-SGM and EDRS-ENS programs. Research Interests : Automatic control, state estimation, system identification, machine learning, distributed control, hybrid systems, microgrids, biochemical networks, voltage and frequency stabilization in AC/DC microgrids. Publications Trends : His recent work focuses on integrating Neural ODEs and Hamiltonian structures for stable control systems, regret minimization in distributed control, and robust state estimation under uncertainty. Applications include autonomous mobility-on-demand , power grid optimization , and secure microgrid control against cyber-attacks. Scientific Awards : No specific awards mentioned in the provided data. Teaching & Advising : He supervises PhD students in mechanical engineering and teaches courses on Multivariable control and Networked control systems . His lab, DECODE , specializes in Dependable Control and Decision systems.
Juha Järvelä is a Staff Scientist at the Department of Built Environment , Aalto University, and a member of the Aalto Environmental Hydraulics Lab . His research focuses on environmental hydraulics, particularly on Hydraulics of environmental channels Modeling of vegetated flows Environmentally sound hydraulic engineering Järvelä's research spans fluid dynamics in river systems, with an emphasis on vegetation-flow-sediment interactions. Key areas include flow resistance in flexible and rigid vegetation, hydrodynamic modeling of floodplains, and nature-based solutions for water management. His recent publications investigate Blockage effects of woody vegetation Longitudinal dispersion in patchy vegetation Two-stage channel performance in agricultural settings Hydrodynamic characterization of natural-like plants Järvelä has received notable scientific recognition, including 2014 : Outstanding Reviewer Award from the American Geophysical Union for Water Resources Research 2005 : Doctoral Dissertation Award from the Oskari Vilamo Foundation Contact: juha.jarvela@aalto.fi | Phone: +358505626727 | Postal: Tietotie 1 E, 02150 Espoo, Finland
Graeme J. Kennedy is an associate professor in the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology where he leads the Simulation-based Multidisciplinary Design Optimization (SMDO) research group. His research focuses on developing numerical optimization techniques for structural and multidisciplinary design problems, particularly for fixed-wing aircraft analysis and design. Dr. Kennedy received his PhD from the University of Toronto Institute for Aerospace Studies (UTIAS) in 2012, followed by a postdoctoral research fellowship at the University of Michigan in the Department of Aerospace Engineering. His research spans several critical areas in aerospace design optimization: Development of advanced numerical optimization techniques for structural design Large-scale topology optimization for aerospace structures Aeroelastic and aerothermoelastic optimization of flexible aircraft Optimization of composite structures with manufacturing constraints Electric motor optimization for electric vertical take-off and landing (eVTOL) vehicles He has developed multiple open-source research codes including TACS (parallel finite-element solver), ParOpt (optimization toolkit), TMR (mesh generation tool), and FUNtoFEM (aeroelastic coupling framework). Dr. Kennedy is particularly interested in designing structures that manage heat from battery packs in air taxis while achieving optimal aeroelastic performance. His publications reveal a strong focus on computational methods for solving large-scale optimization problems in aerospace design. The research shows progressive development from fundamental optimization algorithms toward increasingly complex multidisciplinary applications, with particular emphasis on making high-fidelity simulation-based optimization practical for industrial design cycles through high-performance computing approaches. Dr. Kennedy actively mentors numerous graduate students, including six current PhD candidates and multiple former PhD and MS students who have completed their degrees under his supervision. His research group maintains strong connections with industry through various grants supporting the development of computational tools for aerospace design. The SMDO group also engages in educational outreach through 'Optimization through Intuition,' providing accessible learning modules about optimization concepts for middle and high school students, demonstrating Dr. Kennedy's commitment to broadening participation in engineering education.
Kareem Ahmed is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF) and a faculty member of the Center for Advanced Turbomachinery and Energy Research. He leads research in advanced propulsion and energy systems, focusing on high-speed turbulent combustion, detonations, and hypersonic technologies. His work includes groundbreaking projects in detonation-based propulsion for hypersonic flight and power generation, supported by over $17 million in grants from NASA, AFOSR, and DOE. Education: Ph.D. and M.S. in Mechanical Engineering, University at Buffalo (SUNY) B.S. in Mechanical Engineering, New York State College of Ceramics at Alfred University Research Interests: Ahmed’s expertise spans detonation dynamics, supersonic reacting flows, flow-flame control, and advanced laser diagnostics . His team explores innovations like rotating detonation engines (RDEs) and scramjet combustion systems, with applications in aerospace defense and space exploration. Awards and Recognition: AIAA Associate Fellow American Chemical Society Doctoral New Investigator Award AFOSR Summer Faculty Fellowship UCF Trustee Chair (2025–2030) Grants & Advising: PI of over $17M in research funding; mentors 145+ doctoral, master’s, and undergraduate students. Collaborates with industry leaders like GE, Aerojet Rocketdyne, and Pratt & Whitney. Labs & Teams: Director of UCF’s Center of Excellence in Hypersonic and Space Propulsion, advancing technologies for 15-minute transcontinental flight and clean rocket fuels.
Jari Puttonen is a Professor of Structural Engineering at Aalto University's Department of Civil Engineering, School of Engineering. His research focuses on structural analysis, fire safety, materials science, and nuclear infrastructure safety. He has held roles as Principal Investigator in projects related to nuclear waste repository concrete modeling and aging management of NPP infrastructure. He has advised over 20 academic visitors and served in doctoral thesis committees. Education: Doctoral degree (1987), Licentiate (1984), and Master's degree (1979) in Engineering and Technology from Helsinki University of Technology (now part of Aalto University). Research Interests: Steel and composite materials behavior under extreme conditions Fire resistance of structural systems Long-term performance of concrete in nuclear facilities Non-destructive testing of construction materials Seismic resilience of critical infrastructure Awards: Recipient of the Knight, First Class of the Order of the White Rose of Finland (2020), PUUPalkinto 2010, and Schweighofer Prize 2011 for innovative energy facade research. Grants & Projects: Led 13 research projects including PERCO2_2023 (nuclear waste repository modeling) and CONAGE2022 (NPP concrete aging). Active in EU-funded initiatives and industry collaborations. Labs & Teams: Core member of Aalto's Structural Engineering Research Group, collaborating with Chalmers University and Technical University of Munich on advanced materials testing.
Daeyeon Lee is a Professor in the Department of Chemical and Biomolecular Engineering at the University of Pennsylvania and holds the Russell Pearce and Elizabeth Crimian Heuer Professorship. He leads the Soft Materials Research and Technology (SMART) Lab, focusing on interdisciplinary research in soft materials, microfluidics, and biomedical applications. His work spans gas-encapsulating microcapsules, nanozyme-shelled microrobots, and AI-empowered droplet synthesis. Research Interests : Soft materials, polymer-nanoparticle interactions, microfluidics, targeted drug delivery, and AI-driven manufacturing. Grants : NSF Artificial Intelligence-driven RNA BioFoundry (NSF AIRFoundry), Wellcome Leap contract for lipid nanoparticle research. Scientific Awards : Penn CBE Distinguished Teaching Award, 2022 Outstanding Achievement Award in Nanoscience, Nemirovsky Engineering and Medicine Opportunity (NEMO) Prize. The SMART Lab has produced notable publications in ACS Nano , Advanced Healthcare Materials , and Science Advances , with recent work on biofilm treatment, water harvesting, and RNA-lipid nanoparticle manufacturing. The lab relocated to the Vagelos Laboratory for Energy Science and Technology (VLEST) in 2024 and collaborates with institutions like the Technical University of Munich and Carnegie Mellon University.
Pedram Mortazavi is an Assistant Professor at the University of Minnesota, based in the Civil Engineering Building, Minneapolis, with contact details including email pmortaza@umn.edu and office address 236 Civil Engineering Building, 500 Pillsbury Drive SE. His research centers on structural resilience through: Steel structures and large-scale experimental testing Cast steel energy dissipative systems and passive control devices (damping/isolation) Self-centering systems to mitigate residual deformations Advanced simulation methods including hybrid and multi-platform techniques Validation and codification of new structural systems for seismic applications Analysis of his 2023-2025 publications reveals concentrated work on eccentrically braced frames with replaceable cast steel links, hybrid simulation methodologies, and low-cost re-centering solutions. His research consistently targets enhanced seismic performance, ductility, and resilience via experimental validation and practical design innovations, with significant focus on friction mitigation in multi-axial testing and ultra-low cycle fatigue of structural components.
Patrick Kastner is an Assistant Professor at the School of Architecture and holds an adjunct appointment at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He directs the Sustainable Urban Systems Lab, focusing on environmental performance simulation and urban decarbonization. His work emphasizes software tools for sustainable urban decision-making, such as Eddy3D, a microclimate modeling toolkit widely adopted in academia and practice. Education: Ph.D. and M.S. in Systems Science and Engineering, Cornell University (2022, 2021) M.S. in Sustainable Building Science, Technical University of Munich (2017) B.S. in Energy Engineering, University of Erlangen–Nuremberg (2012) Research Interests: Environmental performance simulation, urban decarbonization, machine learning applications in urban systems, spatial analysis, and software development for sustainability. His work integrates computational fluid dynamics (CFD), surrogate modeling, and data-driven approaches to address urban climate challenges. Key Projects: Leads the Vertically Integrated Project SMUR (Surrogate Modeling for Urban Regeneration), fostering interdisciplinary collaboration across Georgia Tech. Developed Eddy3D, which streamlines microclimate simulations for architects and urban planners. Grants & Advising: Engages students from sophomore to graduate levels in sustainability research. Teaches at Cornell and UPenn previously. Advises on projects blending engineering, urban design, and climate science. Labs & Teams: Director of the Sustainable Urban Systems Lab, focusing on software tools for sustainable urban transformation. Collaborates with industry partners and global institutions on decarbonization strategies.
Prof. Dr. Mike Martin is a leading researcher at the University of Zurich's Center for Gerontology . His work spans cognitive aging, social development in old age, and life-span developmental psychology, with a focus on ecological validity in aging research. Professor, University of Zurich Director, Zurich Longitudinal Study on Cognitive Ageing Co-editor, Journals of Gerontology series Key research areas include: Healthy aging and quality of life Cognitive-emotional interactions in aging Dyadic adaptation in dementia caregiving Mobile sensing of aging-related behaviors Participatory research methodologies Language use as a biomarker of aging His recent publications analyze: GPS mobility and cognitive function Machine learning in reminiscence detection Prospective memory trajectories Emotion regulation in couples Digital interventions for cognitive health Neuroimaging correlates of aging
Associate Professor Mohammad Saadatfar is affiliated with the School of Civil Engineering at The University of Sydney. His research focuses on meso-scale materials, combining experiments with simulations to address challenges in environmental science, biomedical engineering, and advanced materials design. Key areas include the study of cellular solids, granular materials, and meta-materials. His work integrates physics, engineering, and biology, with applications to CO₂ geo-sequestration, bone implants, and mechanical meta-materials. He uses X-ray tomography, FE simulations, and topological analysis to explore material behavior. Recent publications span topics like additive manufactured foams, CO₂ flow dynamics in sandstone, and biomimetic wood structures. His contributions highlight interdisciplinary approaches to material science and engineering challenges. No scientific awards or student advisement details are explicitly mentioned in the provided text.
Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.
Professor Daniel Eyers is a Professor of Manufacturing Systems Management at Cardiff Business School, Cardiff University , where he also serves as Director of Quality Assurance & Enhancement. He is co-director of the Centre for Advanced Manufacturing Systems (CAMSAC) and Cardiff University RemakerSpace , highlighting his leadership in sustainable and advanced manufacturing innovation. Professor of Manufacturing Systems Management, Cardiff University (2024–present) Co-Director, Centre for Advanced Manufacturing Systems (CAMSAC) (2024–present) Co-Director, Cardiff University RemakerSpace (2020–present) External Advisor, Open University (2022–present) His research focuses on the strategic management of advanced manufacturing technologies , particularly Additive Manufacturing (3D printing) , within operations and supply chain contexts. He explores how digital technologies enhance supply chain flexibility, sustainability, and performance. His work spans flexible manufacturing systems, servitization, and change management in industrial settings. His recent publications (2020–2025) reveal a strong trajectory in AI-human collaboration in decision-making , sustainable manufacturing , urban logistics , and the integration of 3D printing in circular economies. Themes include risk management, digital transformation, and the strategic impact of emerging technologies on operations. He frequently publishes in top-tier journals such as International Journal of Operations and Production Management , Production Planning and Control , and Omega . CEng, Engineering Council (UK) FHEA, Higher Education Academy ESRC Early Career Impact Acceleration Fellowship Daniel Eyers actively supervises PhD, MSc, and MBA students and has attracted over £2.5 million in research funding from research councils, the Welsh Government, and industry. He contributes to academic program design and quality assurance, serving on university committees and as an external examiner for other institutions. He is deeply engaged in applied research with industrial partners, reflecting his background in commercial manufacturing. His leadership in research centers and commitment to sustainability, digital innovation, and education underscore his role as a key figure in modern operations management scholarship.
Scott Michael Olson is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign, with a 0% affiliate appointment in the Department of Geology. He holds roles as Associate Head and Director of Graduate Studies. His academic journey includes a B.S., M.S., and Ph.D. in Civil Engineering from UIUC (1993, 1995, 2001). Prior to academia, he worked in private practice with firms like Woodward-Clyde Consultants and URS Corporation, while also teaching at the University of Missouri-Rolla. Dr. Olson specializes in geotechnical engineering, focusing on geohazard identification, liquefaction engineering, laboratory testing, and paleoseismology. He teaches courses in geotechnical engineering, including CEE 380, CEE 484, and graduate-level topics like rock mechanics. His research emphasizes practical applications in infrastructure resilience, with notable contributions to understanding soil behavior under seismic loads and tailings material dynamics. Dr. Olson has been recognized with prestigious awards, including the Walter L. Huber Prize (2012), NSF CAREER Award (2009), and Arthur Casagrande Award (2004). He actively contributes to professional organizations such as the American Society of Civil Engineers and the Earthquake Engineering Research Institute, and has served on national review panels for NSF and USGS. His consulting work bridges academic research with industry challenges in geotechnical risk mitigation.
