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Tara DhakalView profile

Associate Professor

• Renewable Energy
• Photovoltaics
• Energy Storage
• +4 more

Tara Dhakal is an Associate Professor and Director of the Electrical and Computer Engineering department at Binghamton University, leading the Center for Autonomous Solar Power (CASP). He holds a BS from Tribhuvan University (Nepal), MS from Shimane University (Japan), and PhD from the University of Florida. His research focuses on renewable energy systems, particularly solar cell technologies using earth-abundant and non-toxic materials to achieve cost-effective energy solutions. Key areas include perovskite solar cells, energy storage (supercapacitors/batteries), and thin film semiconductor devices. Education: BS, Tribhuvan University MS, Shimane University, Japan PhD, University of Florida Research Interests: His work bridges material science and device engineering, emphasizing: Perovskite solar cell stability and efficiency Lead-free alternatives for photovoltaics Atomic layer deposition for thin film optimization Supercapacitor electrode materials Transparent conductors for optoelectronics Spintronic materials for multifunctional devices Awards: NSF CAREER Award (2018) for hermetic sealing of perovskite solar cells Labs/Teams: Directs the CASP center, collaborating on autonomous solar power systems. His lab focuses on scalable manufacturing processes and material innovation for renewable energy applications.

• Fracture Mechanics
• Materials Science
• Polymers
• +5 more

Dr. Alojz Ivankovic is a Full Professor of Mechanics of Materials at the School of Mechanical and Materials Engineering , University College Dublin (UCD). He also serves as a Visiting Professor at Imperial College London and has held leadership roles such as Head of Mechanical Engineering Programs at UCD since 2012. His research group focuses on advanced materials science, fracture mechanics, and additive manufacturing, supported by over €25M in research funding. Educational Background: MEngSc from the University of Sarajevo and PhD from Imperial College London. Research Interests: Process-structure-property relationships in materials, fracture behavior of polymers and composites, adhesion science, and biomechanics of atherosclerosis. His work bridges computational modeling (e.g., finite volume methods) with experimental validation. Recent Achievements: Awards include the Fellowship of Wessex Institute (2004) and Royal Academy of Engineering Travel Grant (2001). He leads the UCD Centre of Adhesion and Adhesives and collaborates with industry partners like Atlas Copco and BP Chemicals. Grants & Funding: Over €27M in research funding since 2004, including a €2.5M SFI grant for drag reduction studies. Current grants focus on floating offshore wind cables and sustainable composites. Teaching: Coordinates modules in Computational Continuum Mechanics and supervises PhD/MSc students. His group includes 5 MSc, 7 PhD students, and 4 PostDocs. Publications: Over 346 publications, including 109 journals and 232 conference papers. Recent work addresses diamond powder mechanics, piezoelectric composites, and aerodynamic drag reduction.

Xiaochun LiView profile

Professor

• Scifacturing (science-driven manufacturing)
• Nanotechnology Enabled Metallurgy
• Scalable Nanomanufacturing
• +2 more

Xiaochun Li is a Professor at the Department of Mechanical and Aerospace Engineering within the College of Engineering at the University of California, Los Angeles. Holding the Raytheon Endowed Professorship in Manufacturing Engineering, his work bridges materials science and advanced manufacturing technologies. Education: PhD (Mechanical Engineering, Stanford University, 2001), MS (Industrial, System and Welding Engineering, Ohio State University, 1997), BS (Mechanical Engineering and Applied Physics, Tsinghua University, 1992) Research Focus: Dr. Li specializes in science-driven manufacturing (scifacturing), leveraging nanotechnology to revolutionize metallurgy and scalable nanomanufacturing. His work explores smart manufacturing systems, additive manufacturing techniques, and nanoparticle-enabled phase control to overcome traditional material processing limitations. Publication Trends: His research spans nanoparticle integration in metals, fusion-based manufacturing innovations, and sensor-embedded process monitoring. Topics include unconventional welding methods, solidification control, composite synthesis, and thermal behavior analysis, reflecting interdisciplinary expertise in materials science, mechanical engineering, and nanotechnology. Scientific Recognition: Awards include the prestigious SME Frederick W. Taylor Research Medal (2025), ASME William T. Ennor Manufacturing Technology Award (2022), and Fellowships from ASME, SME, and the International Society of Nanomanufacturing. His NSF CAREER Award (2002) and multiple AFS honors highlight early-career impact. Laboratory: Dr. Li leads the Scifacturing Laboratory , which develops science-driven manufacturing solutions that address critical challenges in materials processing and industrial scalability.

Richard CollinsView profile

Senior Lecturer

• Water Distribution Systems
• Hydraulic Transients
• Pipe Fatigue Analysis
• +5 more

Dr Richard Collins is a Senior Lecturer in Water Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering. His research focuses on hydraulic transients , pipeline integrity , and smart water infrastructure . Graduated with an Aerospace Engineering degree (2005) and PhD in Materials and Mechanical Engineering (2009) Current research explores pressure transients , leak detection , and autonomous robotic systems for pipeline inspection Projects include fatigue analysis , biofilm mobilisation , and ultrasound-based pipe assessment His publications emphasize cast iron pipe fatigue , acoustic leak detection , and transient-induced contamination . Funded by RCUK and Datatecnics , his work bridges mechanical engineering and civil infrastructure challenges.

• Materials Science
• Mechanical Engineering
• Manufacturing Engineering
• +5 more

Rohollah Ghasemi is a Senior Lecturer in Mechanical Engineering at the School of Engineering Science , University of Skövde. His research focuses on materials science , manufacturing processes , and tribology , with particular emphasis on compacted/graphite iron microstructure analysis and laser welding optimization . His recent publications (2022–2025) explore advanced manufacturing techniques, including deep learning applications for welding quality prediction and multi-physics simulations for recoil force validation. Earlier works (2014–2019) investigate abrasion resistance , scratch mechanisms , and austempering variables in cast iron systems. Key Research Trends : Process-induced stress modeling, laser welding of dissimilar materials, microstructural engineering of CGI, tribological behavior under load, meta-model optimization Collaborations : Kent Salomonsson, Tobias J. Andersson, Anders E.W. Jarfors, Attila Dioszegi

• Educational Research
• Teacher Training
• Pedagogy
• +3 more

Marie Jonsson is a Lecturer at Linköping University, affiliated with the Division of Education, Teaching and Learning (PEDI) and the Department of Behavioural Sciences and Learning (IBL). Her research spans educational studies and robotics in manufacturing. She co-authored a seminal 2005 paper on teacher training and has contributed to advancements in automated manufacturing systems, including robotics, composite materials handling, and force-controlled assembly. Her work bridges pedagogical research with industrial automation, addressing challenges in both teacher development and sustainable production processes. Roles: Lecturer, Researcher Affiliations: Linköping University, PEDI, IBL Research interests include educational methodologies and the integration of automation in unstructured production environments. She has explored circular economy impacts on automotive assembly and developed frameworks for dynamic robot adaptability using tools like Isaac Sim. Her publications highlight contributions to low-cost automation in aerospace composites and force-controlled manufacturing systems. Recent articles (2015–2024) focus on advancing automated material handling, robotics in composites, and sustainability in manufacturing. Despite no listed awards or grants, her work emphasizes practical applications of robotics and pedagogical innovation.

Jiling FengView profile

Senior Lecturer

• Fluid Mechanics in Cardiovascular Systems
• Biomedical Engineering
• Arterial Waveform Analysis
• +3 more

Dr. Jiling Feng is a Senior Lecturer in Mechanical Engineering at Manchester Metropolitan University, specializing in fluid mechanics applied to cardiovascular systems and biomedical engineering. Her research focuses on arterial waveform analysis, stent design, and material science for vascular disease treatment, supported by over £1.1 million in grants from EPSRC, UKRI, and Royal Society. She holds a BEng, MSc, PhD, and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy (FHEA). Education: BEng, MSc, PhD Professional Memberships: IMechE, IEEE, British Atherosclerosis Society Research interests include computational modeling of cardiovascular mechanics, fluid-structure interaction in arteries, and biomaterials for medical devices. She has authored over 40 peer-reviewed articles in top journals like Biomechanics and Modelling in Mechanobiology and serves on editorial boards for Mathematics and Frontiers in Biophysics . Recent projects include a KTP collaboration with Krohne (£235,000) and a Royal Society grant with Beijing University of Technology (£11,600). She supervises PhD and MSc projects on plaque mechanics and arterial waveforms. Labs/Teams: Active in vascular mechanics research groups, collaborating with vascular surgeons and industry partners.

Johann KastnerView profile

Professor

• Computed Tomography
• Materials Science
• Non-Destructive Testing
• +3 more

Johann Kastner is a Professor at Upper Austria University of Applied Sciences, leading the Research Center Wels Computed Tomography R&D-Headquarters. He is affiliated with Centers of Excellence in Automotive/Mobility, Energy, and Smart Production. His research focuses on advanced materials characterization using X-ray computed tomography (X-CT), with applications in non-destructive testing, composite materials, and biomedical engineering. Key research areas include porosity analysis in carbon fiber reinforced polymers, phase contrast imaging, and additive manufacturing. He has led over 10 projects, including the EU-funded xCTing initiative (2021–2025) and the X-PRO project (2020–2024), emphasizing industrial CT applications and cross-virtuality data analysis. His work spans 335+ publications, with notable contributions to XCT-based defect detection, material microstructure analysis, and AI-driven image segmentation. Collaborations include COMET K Projects and FTI-Structurförderung grants. He has advised 2 PhD students and actively participates in international conferences and workshops. Laboratory facilities include state-of-the-art XCT systems for 3D microstructural analysis, Talbot-Lau grating interferometry, and augmented reality visualization tools for industrial applications.

Michal KalkowskiView profile

Associate Professor

• Non-destructive testing
• Material characterisation
• Ultrasonic imaging
• +6 more

Michal Kalkowski is an Associate Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on structural wave and vibration analysis for non-destructive testing, material characterization, and infrastructure monitoring. He develops advanced modeling tools and signal processing techniques for applications in nuclear energy, aerospace, and water industries. Current projects include weld inspection through ultrasound-based 'weld map tomography' and leak detection in buried pipes using distributed acoustic sensing. He is Editor of the Journal of Sound and Vibration and Co-chair of the UK Acoustics Network UKAN+. Education: MEng in Control Engineering & Robotics (AGH University, Krakow), PhD in Structural Wave Applications (ISVR, 2010). Postdoctoral work included EPSRC projects on active vibration control and underground structure interrogation. Served as H2020 ADVISE project researcher at Imperial College London before returning to Southampton in 2021 as Lecturer in Dynamics. Teaching responsibilities include coordinating the Mechanics, Machines & Vibration module (joint with Harbin Engineering University), and teaching Statics/Dynamics (FEEG1002) and Fundamentals of Vibration (ISVR6141). Actively supervises four PhD students in engineering disciplines. Research highlights include: Developing numerical models for wave propagation in complex materials Pioneering weld map tomography for grain orientation analysis Advancing distributed acoustic sensing for infrastructure monitoring AI integration for coarse-grained metal characterization Current active projects: Horizon Europe iWeld intelligent Weld inspection and EPSRC Core Equipment grants.

Donald J. ChmielewskiView profile

Professor

• Control Systems Engineering
• Energy Systems Design
• Fuel Cell Technology
• +3 more

Donald J. Chmielewski is a Professor of Chemical Engineering at Illinois Institute of Technology (IIT), affiliated with the Chemical and Biological Engineering Department within the Armour College of Engineering. He holds a Ph.D. in Chemical Engineering from UCLA (2000), an M.S. in Electrical Engineering from UCLA (1993), and a B.S. in Electrical Engineering from IIT (1991). His research focuses on advanced process control strategies for energy systems, including fuel cells, hybrid vehicles, and power generation infrastructure. Chmielewski has received notable awards such as the CAST Division Plenary Lecture (2010) and Excellence in Teaching Award (2003). His expertise spans control system economics, energy process modeling, and system optimization. Key application areas include IGCC power plants, building HVAC systems, and electric power storage. Recent publications emphasize economic model predictive control for energy systems and novel fuel cell designs. Chmielewski advises on energy systems and has collaborated on projects involving oxy-combustion power cycles and PEM fuel cell dynamics. His work bridges theoretical control methodologies with practical engineering challenges in sustainable energy. Professional contributions include plenary lectures and peer-reviewed articles on process systems engineering and energy storage solutions.

Kevin LawsView profile

Associate Professor

• Bulk Metallic Glasses
• Amorphous Alloys
• Materials Science
• +5 more

Associate Professor Kevin Laws is a materials scientist specializing in bulk metallic glasses and amorphous alloys at the School of Materials Science & Engineering, University of New South Wales (UNSW). His research focuses on the design, discovery, and development of magnesium- and aluminum-based metallic glasses for structural and functional applications, with expertise in die-casting, strip casting, and post-production processing of bulk metallic glasses. Professor Laws has held significant positions including Project Manager at the ARC Centre of Excellence for Design in Light Metals since 2009 and Postdoctoral Fellowship at UNSW since 2008. His research contributions are extensive, with over 30 refereed journal publications and approximately $100k in research funding since 2008. His work extends to international collaborations, having served as a Visiting Scientist at both the Swiss Federal Institute of Technology (ETH) in Zürich and the United States Air Force Research Laboratories. His primary research interests include bulk metallic glasses, amorphous alloys, magnesium and aluminum alloy development, composite materials, and advanced processing techniques. Professor Laws has made significant contributions to understanding the thermal and mechanical properties of metallic glasses, with applications spanning from structural components to functional devices. His recent work shows progression into high-entropy alloys, tungsten boride structures, and advanced characterization techniques while maintaining his core focus on metallic glasses. Professor Laws' publication record demonstrates a strong trajectory of research excellence, with consistent output of high-impact papers in leading materials science journals. His work shows increasing sophistication in both experimental techniques and computational modeling approaches, reflecting the evolving nature of materials science research. ARC Centre of Excellence Postdoctoral Research Fellowship (2007-) Invited Research Position at Swiss Federal Institute of Technology (2010) Invited Research Position at US Air Force Research Laboratory (2011) Member of Institute of Engineers, Australia (2003-) Member of Society of Automotive Engineers-International (2001-) Professor Laws has co-supervised 10 honors and 6 PhD students in the past 4 years, demonstrating his commitment to education and mentorship. He serves as course coordinator for Welding and Joining Processes and contributes as a guest lecturer for polymer engineering and demonstrator for foundry casting, rolling, and mechanical testing. His teaching responsibilities complement his research activities, creating a synergistic relationship between education and discovery. His research is conducted within the School of Materials Science & Engineering at UNSW, where he collaborates with colleagues on projects related to advanced materials development and characterization. The school provides state-of-the-art facilities for materials processing and characterization, enabling Professor Laws to pursue his research on metallic glasses and related materials.

• Materials Science
• Mechanical Engineering
• Metallurgy
• +3 more

Al Omar Mesnaoui is a Researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Mechanical Engineering at the Manresa School of Higher Engineering (EPSEM). He specializes in materials science, metallurgy, and robotics, focusing on the thermo-mechanical behavior of metals and advanced manufacturing processes. His work includes developing neural network models for steel processing and designing robotic systems for industrial applications. He has contributed to over 88 academic activities, including peer-reviewed articles, books, and projects funded by national and international grants. Notably, he has received the 6th Quality Prize in University Teaching. Education: Licenciado en Ciencias Físicas (Solid-State Physics) and Doctor en Ciencias Físicas (Materials Science and Metallurgical Engineering). He is part of research groups TECNOFAB and DigiFACT, focusing on advanced manufacturing and digital factory technologies. His projects include PulmoFlow (low-cost respiratory diagnostics) and AI-based education initiatives in mechanical engineering. Key research areas include microalloyed steel deformation, robotic co-workers, and biomechanical modeling of human movement post-stroke. He has collaborated extensively with colleagues like Peña-Pitarch and Alcelay on topics ranging from material processing maps to humanoid robotics. His work bridges materials science with industrial applications, emphasizing sustainable and intelligent manufacturing systems.

Joseph D. SmithView profile

Professor

• Chemical Engineering
• Energy Research
• Computational Fluid Dynamics (CFD)
• +4 more

Joseph D. Smith is a Professor in the Linda and Bipin Doshi Department of Chemical and Biochemical Engineering at Missouri University of Science and Technology. He holds the Wayne and Gayle Laufer Endowed Energy Chair and serves as Director of the Energy Research and Development Center and Executive Director of the Small Nuclear Modular Reactor Research and Development Consortium. With over 30 years of industry experience in chemical and petrochemical sectors, Dr. Smith specializes in computational fluid dynamics (CFD) for reactive flow systems, fiber-optic sensing technologies, and advanced materials processing. BS, MS, PhD in Chemical Engineering from Brigham Young University Former industrial roles at Dow Chemical, Cabot Corporation, Koch Industries, and Idaho National Laboratory Academic appointments at Tennessee Technological University, University of Michigan, University of Illinois-Urbana/Champaign, and University of Tulsa Dr. Smith’s research focuses on: CFD modeling of pulverized-fuel combustion, gasification, and industrial heating systems Fiber-optic sensor development for extreme environments in steelmaking and lunar applications Molten salt electrolysis for aluminum extraction from lunar regolith Refractory material performance in high-temperature industrial processes His recent publications highlight trends in: Advanced optical sensor systems for real-time industrial monitoring Lunar resource utilization through electrostatic and magnetic separation High-temperature analysis of molten materials and refractory interactions Dr. Smith has developed proprietary CFD models, contributed chapters to industry handbooks, and holds eight patents in combustion and process optimization technologies. He also serves as an expert witness in gas flare performance and hydrocarbon processing litigation.

• Structural Engineering
• Concrete Structures
• Structural Reliability
• +7 more

Max Hendriks is Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), specializing in advanced structural analysis and assessment methodologies for concrete infrastructure. His work integrates computational modeling with experimental validation to address critical challenges in structural safety and durability. His research focuses on: Structural reliability assessment using proof load testing and monitoring data Acoustic emission techniques for concrete damage detection Nonlinear finite element analysis of cracking and shear behavior Durability mechanisms including alkali-silica reaction and corrosion Numerical modeling of structural response to extreme events Analysis of his 2021-2025 publications reveals a methodological evolution toward integrated experimental-computational frameworks, particularly in acoustic emission waveform modeling for fracture characterization and reliability-based assessment of aging infrastructure. His work consistently bridges theoretical advances with practical engineering applications, emphasizing probabilistic approaches for structural safety evaluation under complex degradation scenarios.

• Optimization
• Cryptography
• Artificial Intelligence
• +5 more

Yu Li is a Lecturer at the University of Picardie Jules Verne (UPJV) and a member of research unit UR 4290 “Optimization and Cryptography, AI – OCIA.” His office is located in room 302, reachable by internal telephone extension 5900. Research Interests Dr. Li’s research spans several inter-related domains: Optimization & Control Theory – developing dynamic optimization algorithms for industrial processes such as continuous casting in steel manufacturing. Cryptography & Security – investigating secure and dependable models for cloud and distributed systems. Artificial Intelligence & Robotics – integrating AI perception and decision-making into cloud-connected robotic platforms, including exoskeletons for rehabilitation and autonomous ground vehicles. Cloud & Fog Computing – designing middleware and domain-specific languages that seamlessly connect robotic devices with cloud and edge resources. Publication Trends Over the past decade, Dr. Li’s publication record reveals a clear evolution from foundational work in software architecture and component-based systems (2010-2016) toward cutting-edge applications in cloud/fog-enabled robotics and AI-driven cyber-physical systems (2017-2023). His studies increasingly emphasize real-world deployment, simulation-driven resource estimation, and human-centric interaction in rehabilitation robotics. Scientific Awards & Recognition No specific awards are listed in the provided materials. Advising & Funding No explicit information about supervised students or funded grants is available in the text supplied. Laboratories & Teams He carries out his research within the UR 4290 research unit “Optimization and Cryptography, AI – OCIA” at UPJV, focusing on collaborative projects that bridge mathematics, computer science, and robotics engineering.