Richard M. Murray is the Thomas E. and Doris Everhart Professor of Control and Dynamical Systems and Bioengineering at the California Institute of Technology (Caltech). He holds a B.S. from Caltech (1985), M.S. from UC Berkeley (1988), and Ph.D. from UC Berkeley (1990). He has served in academic roles from Assistant Professor (1991–1997) to his current endowed professorship. He chaired the Engineering and Applied Science division (2000–2005) and Biology and Biological Engineering (2020–2024). His research focuses on feedback control in biological and autonomous systems, synthetic cells, and networked control systems. Collaborators include experts in robotics, synthetic biology, and systems biology. Key awards include the IEEE Control Systems Award and election to the National Academy of Engineering. His educational contributions span courses on control systems, robotics, and bioengineering. Current research projects include the Developer Cell initiative (Sloan Foundation), layered testing for autonomous systems (AFOSR), and microbiome-based environmental solutions (CHARMME, ARO). He advises numerous graduate students and postdocs, with notable alumni in academia and industry. Labs include facilities in Keck and Steele laboratories at Caltech. His work bridges control theory, synthetic biology, and autonomous systems to address societal challenges like environmental monitoring and safe autonomy.
Eduardo Miranda is a Professor of Civil and Environmental Engineering at Stanford University. He specializes in structural engineering, with a focus on performance-based earthquake engineering. His work involves analyzing ground motion impacts on structures and society, and developing methods to improve seismic design and construction. He holds a PhD from the University of California, Berkeley (1991), an MSc from UC Berkeley (1988), and a Civil Engineering degree from UNAM (1986). Education: PhD in Structural Engineering, UC Berkeley (1991) MSc in Structural Engineering, UC Berkeley (1988) Civil Engineer, National Autonomous University of Mexico (UNAM) (1986) Research Interests: His primary research areas include seismic risk assessment, ground motion analysis, and the development of computational tools for structural analysis. He investigates the directional effects of earthquakes on building responses and has contributed to methodologies for regional seismic risk evaluation. His work also focuses on improving seismic isolation techniques and nonstructural component design. Recent Research Trends: Miranda’s recent publications emphasize directional ground motion effects, particularly in earthquakes like those in Türkiye and Taiwan. He explores novel friction models for seismic isolation bearings and evaluates the seismic performance of structures on soft soils. His work bridges theoretical analysis and practical application, aiming to enhance building resilience. Advising & Grants: No specific grants or advisees are listed, but his research is funded through collaborations with institutions like EERI and StEER for field assessments and computational studies. Labs/Teams: Collaborates with the Stanford Earthquake Engineering Research (StEER) Group, contributing to post-earthquake reconnaissance reports and regional risk assessments.
Mario Berges is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. He holds leadership roles as Co-Director of the IBM Smart Infrastructure Analytics Lab and Director of the Intelligent Infrastructure Research Lab (INFERLab). His work focuses on applying information/communication technologies to enhance the operational efficiency and resilience of built environments amid evolving resource constraints and climate changes. Education: PhD in Civil & Environmental Engineering from CMU (2010). Research Interests: Berges' research integrates smart infrastructure systems, energy efficiency, and machine learning. Key areas include non-intrusive load monitoring (NILM), structural health monitoring of pipelines, building automation systems, and urban heat risk modeling. He develops data-driven frameworks for energy disaggregation, sensor placement optimization, and real-time infrastructure diagnostics. Awards: Recognized with the 2010 FIATECH Outstanding Early Career Researcher Award and 2015 Dean’s Early Career Fellowship from CMU. Grants & Labs: Leads INFERLab, collaborating with IBM on smart infrastructure projects. His work spans academic-industry partnerships focused on building analytics, smart grid technologies, and sensor networks. Future Directions: Expanding research into AI-driven energy systems, resilient urban infrastructure, and cross-disciplinary solutions for climate adaptation.
Jouni Partanen is a Professor at Aalto University's Department of Energy and Mechanical Engineering within the College of Engineering. His research focuses on advanced production technologies including Additive Manufacturing (3D-Printing), modern laser processing, and micromachining. Research Group: Materiaaleista tuotteiksi Specialization: Integration of AI in manufacturing processes Sustainability emphasis: Biochar-reinforced materials and carbon footprint reduction His work spans from fundamental material behavior analysis to industrial applications, particularly in metal additive manufacturing and composite fabrication. Recent research explores corrosion resistance in lattice structures and multiscale photopolymerization techniques. Publications highlight interdisciplinary approaches combining mechanical engineering with biomedical applications (e.g., patient-specific implants) and environmental health studies on industrial 3D printing emissions.
Ron H.J. Peerlings is Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) , where he leads the Mechanics of Materials research group. Promoted to Associate Professor in 2007 after joining as Assistant Professor in 2000, he has built an extensive portfolio in theoretical and computational mechanics of materials. Education: PhD (1999) – Eindhoven University of Technology, thesis: Enhanced damage modelling for fracture and fatigue Post-doctoral research (1999–2000) – University of Cambridge, Engineering Department Research interests revolve around micromechanics , micro-plasticity , multiscale modelling , homogenisation , damage and fracture , and enriched continuum theories . His work spans advanced high-strength steels, composites, paper and fibrous networks, with strong emphasis on coupling rigorous theoretical developments to industrially motivated problems. His recent publications (2023-2025) demonstrate a clear trajectory towards integrating advanced experimental techniques (e.g., digital image correlation, micro-mechanical testing) with high-fidelity computational frameworks such as crystal-plasticity finite-element modelling, FFT-based solvers and micromorphic homogenisation. Dominant themes include: Deformation and fracture in lath martensite and dual-phase steels Hygro-mechanics of paper and fibrous networks Pattern-transforming mechanical metamaterials Discrete-to-continuum scale bridging methods Scientific awards are not explicitly listed in the provided material; however, his prolific output (294 research items, >6500 citations) attests to significant peer recognition. Teaching & supervision: He delivers courses on Computational Mechanics – Numerical Methods for Fluids and Solids and Fracture Mechanics – Theory and Application , and has supervised >80 student works and numerous PhD candidates whose names appear on joint publications. Laboratory & teams: He heads the Group Peerlings within the Mechanics of Materials cluster, maintaining close collaboration with the Mechanics of Materials Group Geers and extensive national/international experimental and computational networks.
Dr. Jurgen Becque is an Associate Professor in Structural Engineering at the University of Cambridge's Department of Engineering. He specializes in cold-formed steel structures, stainless steel structural behavior, and stability analysis, with a focus on local-overall buckling interaction and innovative design methodologies. His work bridges experimental investigations with computational modeling and machine learning applications. Research Interests: Cold-formed steel structural systems Stainless steel column stability Local and overall buckling interaction Mechanics-based design optimization Machine learning for structural behavior prediction Recent publications demonstrate expertise in cross-sectional stability, connection mechanics, and composite systems like UHPC-confined stainless steel columns. His work addresses both monotonic and cyclic loading scenarios, contributing to Eurocode 3 design standards.
Anthony Rollett is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , where he has been a faculty member since 1995. He serves as the Principal Investigator and Co-Director of the NASA-supported Institute for Model-Based Qualification & Certification of Additive Manufacturing (IMQCAM) and co-director of the Next Manufacturing Center . Prior to CMU, he held leadership roles at Los Alamos National Laboratory (1991-1995). Education: Ph.D., Materials Engineering, Drexel University (1987) MA, Metallurgy and Materials Science, Cambridge University (1977) Research Interests: Rollett’s work focuses on microstructural evolution and microstructure-property relationships in 3D using experiments and simulations. His expertise spans additive manufacturing , metal 3D printing , materials for energy systems , grain growth , recrystallization , and stereology , with techniques like high-energy diffraction microscopy (HEDM) and dynamic x-ray radiography (DXR) . Scientific Contributions: He has over 320 peer-reviewed publications and an h-index >80 . His recent articles highlight machine learning for laser processing , fatigue analysis of additively manufactured alloys, and design optimization for heat exchangers in supercritical CO2 and solar thermal applications . Scientific Awards: Fellow of ASM International (1996) Fellow of the Institute of Physics (UK) (2004) Fellow of The Minerals, Metals & Materials Society (TMS) (2011) Cyril Stanley Smith Award (TMS, 2014) Member of Honor, French Metallurgical Society (2015) US Steel Professor (2017) Francqui International Professor (2020-2021) International FAME Award (2023) Leadership & Impact: Rollett co-led the development of a NASA Space Technology Research Institute for additive manufacturing and established a new master’s program in additive manufacturing (2018). His research group is funded by industry , federal agencies , and Pennsylvania state grants . He also serves on the Basic Energy Science Advisory Committee and Defense Programs Advisory Committee for the Department of Energy.
Dr. Ling Yin is an Associate Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide, Faculty of Sciences, Engineering and Technology. She joined the University of Adelaide in 2018 as an Associate Professor in manufacturing and served as Faculty Research Theme Leader in Advanced Manufacturing from 2019 to 2022. Dr. Yin leads multi-institutional projects on advanced manufacturing funded by Defence SA (2024-2025) and the National Health and Medical Research Council (NHMRC) (2025-2028). Dr. Yin's educational background includes B.Sc., M.Sc., and Ph.D. degrees in mechanical engineering from Huazhong University of Science & Technology in Wuhan, China. Her academic career spans five countries across three continents, including positions at Tianjin University in China, Kumamoto University in Japan, Kansas State University in the USA, the Australian National University and James Cook University in Australia, the National Institute of Standards & Technology (NIST) in the USA, and A*STAR Singapore Institute of Manufacturing Technology (SIMTech) in Singapore. Dr. Yin's research focuses on manufacturing and mechanical characterization of advanced materials with applications in optics, semiconductors, mechanical structures, dental restorations, osteoporosis/osteoarthritis studies, and marine/animal sciences. Her work involves extensive collaborations across multiple disciplines. Her recent publications demonstrate expertise in ultrasonic vibration-assisted machining of dental ceramics, particularly zirconia and lithium silicate glass-ceramics, as well as advanced characterization techniques like micro-CT and in-situ SEM testing for understanding material behavior at micro and nano scales. JSPS Invitation Fellowship from the Japan Society for the Promotion of Science Japanese Government Scholarship from the Ministry of Education, Culture, Sports, Science and Technology, Japan Supervisor for a PhD Thesis cum laude with a Medal of Excellence awarded by James Cook University in 2017 Supervisor for a Best Honours Project in Mechanical Engineering at Ingenuity awarded by the University of Adelaide in 2023 Dr. Yin is actively involved in supervising higher degree research students and has available PhD projects in 2025 focused on ultrasonic-vibration assisted manufacturing techniques for dental applications. She has successfully led international academic delegations through the New Colombo Plan to manufacturing facilities in Singapore and Japan. Dr. Yin is a senior member of the North American Manufacturing Research Institution (NAMRI) and the Society of Manufacturing Engineers (SME), and also a member of several professional organizations including ASME, OSA, American Ceramic Society, ASM International, and SPIE.
Giuseppe Carlo Marano is a Full Professor at the Department of Structural, Building and Geotechnical Engineering at Politecnico di Torino. He is also a component of the SISCON Interdepartmental Center for Infrastructure Safety. With expertise in civil and structural engineering, his work focuses on machine learning applications, seismic risk reduction, and sustainable structural optimization. Education Graduated cum laude in Structural Engineering from Polytechnic University of Bari PhD in Structural Engineering from University of Florence (2000) Research Interests Marano's research spans structural optimization, seismic engineering, and machine learning applications in civil infrastructure. He develops advanced computational models for: Seismic retrofitting of existing structures Optimization of steel and masonry structures Recycled materials in concrete production AI-driven structural health monitoring Multiobjective design methodologies Publication Trends His recent work emphasizes: Machine learning for concrete mix design and damage assessment Optimization of gridshells and arch structures Seismic isolation systems and vibration control Sustainable construction practices with recycled materials Multiobjective genetic algorithms for structural design Scientific Recognitions National Scientific Qualification - First Band (2013, MIUR Italy) Certificate of Appreciation for Outstanding Lecture (2012, China) Academic Contributions As an educator, he teaches: Consolidamento Strutturale (Structural Consolidation) Dinamica delle Vibrazioni Random (Random Vibration Dynamics) Progettazione Generativa (Generative Design) He also leads Challenge@PoliTo initiatives and contributes to national infrastructure safety regulations. Research Projects ADAPT4CE - Adaptive Digital Systems for Circular Economy (2025-2028) AI-ENVISERS - AI for Seismic Retrofit Environmental Impact (2023-2025) ADDOPTML - Additive Manufacturing Optimization (2021-2025)
Micah Hale is a Professor and Department Head of Civil Engineering at the University of Arkansas, Fayetteville, and holds the Twenty First Century Endowed Leadership Chair in Civil Engineering. His work focuses on concrete materials, structural performance, and sustainable construction practices. Education: Ph.D., M.S., and B.S. in Civil Engineering from the University of Oklahoma. Dr. Hale’s research explores High-Performance Concrete , Bond Behavior of Prestressing Strands , and Mitigation of Alkali-Silica Reaction (ASR) . He also investigates Thermal Energy Storage applications for solar power systems and sustainable ultra-high-performance concrete (UHPC) development. His publications highlight advancements in concrete durability, prestressed girder analysis, and environmentally conscious material design. Recent studies emphasize calcium oxychloride formation , prestress transfer modeling , and self-consolidating concrete optimization. His scholarly output spans structural mechanics, chemical durability, and material sustainability. Awards: Twenty First Century Endowed Leadership Chair in Civil Engineering As an educator, Dr. Hale teaches Reinforced Concrete Design , Prestressed Concrete Design , and Concrete Materials and Mixture Proportioning . His contributions to engineering ethics education and student engagement further underscore his academic leadership.
Mary Lanzerotti is a Collegiate Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. She specializes in signal processing, control systems, and medical evacuation technology. Her research focuses on hoist stabilization for MEDEVAC rescues, RF signal estimation, and material science involving liquid films. She is also deeply involved in educational initiatives, including hybrid course development and student advising strategies. Education: A.B. summa cum laude from Harvard College (1989), M. Phil. from the University of Cambridge (1991), M.S. and Ph.D. from Cornell University (1994–1997). Research Interests: Signal processing algorithms, mechanical stabilization of hoist systems, quantum computing verification, and integrated circuits design. Recent work includes gyroscopic data-driven control systems and multi-tier RF signal estimation methods. Service Roles: Member of faculty search committees, assessment committees, and the Graduate Honor System panel. Active in institutional accreditation and curriculum modernization efforts. Labs/Teams: Collaborates with interdisciplinary teams on projects involving aerospace rescue systems, laser material interaction studies, and microelectronics verification.
Professor Chunsheng Lu is a faculty member at Curtin University's School of Civil and Mechanical Engineering within the Faculty of Science and Engineering. He currently holds the position of Professor and serves as Editor-in-Chief of Mechanical Engineering Advances . His research focuses on fracture mechanics, multi-scale modeling, energy materials, nonlinear dynamics, and natural disaster risk analysis. Lu is actively involved in HDR (Masters/PhD) supervision, offering projects on advanced materials modeling and simulations. His research interests include mechanics of energy materials, multi-scale modeling, and fracture statistics. He has contributed to over 200 publications, with recent work emphasizing piezoelectric semiconductors, nanomaterials, and energy storage systems. Lu's teaching spans materials engineering, solid mechanics, and numerical methods.
Dr. KN Sasidhar is a Researcher in the Department of Microstructure Physics and Alloy Design at Heinrich Heine University Düsseldorf. His work focuses on advanced materials science, particularly corrosion mechanisms, alloy design, and nanoscale structural analysis. He employs cutting-edge techniques like in situ synchrotron investigations and deep learning frameworks to study material behavior under extreme conditions. Current research emphasizes corrosion resistance in stainless steels, phase transformations during nitriding, and radiation effects on coatings. Key achievements include pioneering studies on nanoscale amorphization in metallic systems, data-centric approaches for materials discovery, and the development of predictive models for alloy performance. His work bridges experimental materials characterization with computational methods, addressing challenges in energy and aerospace applications. Publications span corrosion analysis, microstructural evolution under irradiation, and phase separation phenomena. Collaborative projects involve synchrotron facilities and interdisciplinary teams focusing on materials informatics. No formal awards or grants are explicitly listed in the provided texts, though his prolific publication record indicates active academic engagement.
Joshua Gess is an Associate Professor in the Mechanical, Industrial, and Manufacturing Engineering department at Oregon State University's College of Engineering. He joined Oregon State in 2015 and serves as a co-principal investigator at the Enhanced Heat Transfer Laboratory, where he leads research in thermal management solutions for high-performance microelectronics. His educational background includes: PhD, Mechanical Engineering, Auburn University, 2015 MS, Mechanical Engineering, Auburn University, 2012 B.E., Mechanical Engineering, Vanderbilt University, 2005 Before academia, he worked as a mechanical engineer at SSOE Group (including consulting for Johns Manville) and Northrop Grumman where he focused on military communication equipment. Professor Gess specializes in advancing thermal management solutions for high-performance microelectronic equipment. His research spans multiple scales, examining single and two-phase heat transfer on the macro-scale with passive and active liquid immersion techniques, as well as on the micro and nano scale for complex embedded thermal management solutions. He combines fundamental heat transfer knowledge with novel experimental methods such as two-phase PIV and high-speed image capture to develop reliable and energy-efficient cooling solutions for demanding electronics systems. His publication record demonstrates a clear trajectory toward increasingly sophisticated thermal management solutions, with recent work focusing on additive manufacturing applications for cooling systems, semiconductor thermal management, and nuclear reactor cooling systems. His research has significant implications for data center energy efficiency, where even small improvements in cooling efficiency could save enormous amounts of energy that could be returned to the grid. Gess is deeply committed to mentoring graduate students, emphasizing the practical applications of engineering principles. He attributes his interest in engineering to childhood influences like the movie RoboCop and the TV series MacGyver, and finds the reality of engineering work just as gratifying as he'd imagined. He particularly values the moments when his graduate students "get it" and watching them grow with each new accomplishment. As a person with a disability himself, Gess is passionate about establishing more robust support systems for people with disabilities at Oregon State. He is working with the School of Public Health to start an adaptive sports program, with the goal of building infrastructure that allows anyone to feel welcome and pursue advanced degrees at the university.
Robert O. Ritchie is the H. T. & Jessie Chua Distinguished Professor of Engineering at the University of California, Berkeley, where he holds dual appointments as Professor of Materials Science & Engineering and Professor of Mechanical Engineering. He is also a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. His distinguished career spans over four decades with significant contributions to the field of materials science and engineering. Professor Ritchie received his B.A. in Physics & Metallurgy (1969), M.A. in Materials Science (1973), Ph.D. in Materials Science (1973), and Sc.D. in Materials Science (1990), all from Cambridge University, UK. His research focuses on the mechanical behavior of advanced materials, with particular emphasis on fracture mechanics, fatigue properties, and damage tolerance. Professor Ritchie's work spans multiple domains including metallic glasses, high-entropy alloys, biomaterials, and nature-inspired structural materials. His laboratory employs cutting-edge techniques such as in situ high-temperature computed tomography to study failure mechanisms in ceramic-matrix composites and nuclear graphite. His research has significant implications for aerospace, biomedical, and energy applications. Analysis of Professor Ritchie's recent publications reveals a strong focus on advanced structural materials, particularly metallic glasses and high-entropy alloys. His work combines experimental approaches with computational modeling to understand deformation mechanisms at multiple length scales. There is a clear trend toward bioinspired materials design, with several papers examining natural structures like fish scales, horn sheaths, and bone to develop new engineering materials with exceptional mechanical properties. Member, National Academy of Sciences (2025) Foreign Fellow, Academy of Athens, Greece (2024) Robert Henry Thurston Award (ASME) (2022) ASM Gold Medal (ASM Intl.) (2021) William D. Nix Medal, inaugural winner (TMS) (2020) Fellow (Foreign Member) of the Royal Society (FRS), London, UK (2017) Morris Cohen Award (TMS) (2017) Acta Materialia Gold Medal (2014) David Turnbull Award (MRS) (2013) A. Cemel Eringen Medal (Society of Engineering Science) (2010) Professor Ritchie has advised numerous graduate students and postdoctoral researchers throughout his career. His research has been supported by various funding agencies including the Department of Energy, National Science Foundation, and industry partners such as Rolls-Royce. He has served on numerous advisory boards including the Rolls-Royce Materials & Structures Advisory Board (2011-2019) and the Scientific Advisory Board of the Advanced Light Source at LBNL (2013 to date). Professor Ritchie leads the Ritchie Group at UC Berkeley, which maintains strong collaborations with Lawrence Berkeley National Laboratory. The laboratory employs state-of-the-art techniques including electron microscopy, x-ray tomography, and mechanical testing across multiple length and time scales. His team has developed innovative in situ characterization methods that have significantly advanced the understanding of material failure mechanisms under extreme conditions.
