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Zhe ChengView profile

Associate Professor

• High Temperature Ceramics
• Solid Oxide Fuel Cells (SOFC)
• Photovoltaics (Solar Cells)
• +3 more

Dr. Zhe Cheng is an Associate Professor in the Department of Mechanical Engineering at Colorado State University, part of the Walter Scott, Jr. College of Engineering. Prior to this, he held tenured positions at Florida International University (2013–2024) and was a research investigator at DuPont (2008–2013). His research focuses on advanced ceramic materials for energy applications, including solid oxide fuel cells (SOFCs), photovoltaics, and high-temperature ceramics. He holds a Ph.D. (2008), M.S. (2004), and B.S. (2001) in Materials Science & Engineering from Georgia Tech and Tsinghua University. Education: Ph.D., Materials Science & Engineering, Georgia Institute of Technology (2008) M.S., Materials Science & Engineering, Georgia Institute of Technology (2004) B.S., Materials Science & Engineering, Tsinghua University (2001) Research Interests: Dr. Cheng specializes in novel synthesis and processing of high-temperature ceramics, including high-entropy nitrides, and their applications in energy conversion systems. His work emphasizes in situ characterization techniques to understand material behavior under operational conditions. Key areas include SOFC cathodes, proton-conducting electrolytes, and wearable sensor technologies. Publications & Awards: With over 5,284 citations and an h-index of 27, his work spans 44 peer-reviewed articles. Notable awards include the NSF CAREER Award (2019) and the American Ceramic Society Ross Coffin Purdy Award (2010). His research has been funded by NSF, DOE, and NASA. Advising & Grants: Dr. Cheng has advised numerous graduate students and secured $2.3 million in research funding. Key grants include DOE projects on additive manufacturing for plasma-facing materials and NSF support for SOFC hydrogen electrode fundamentals. Labs & Teams: He leads research in advanced ceramics and electrochemical systems at CSU, fostering interdisciplinary collaborations in materials science and energy engineering.

• Electromagnetic Compatibility
• Signal Integrity
• Power Integrity
• +7 more

Stefano Grivet Talocia is a Full Professor in the Department of Electronics and Telecommunications at Polytechnic University of Turin. He serves as Director of the Doctoral School, is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and holds positions on the University Committee for Research and the Commission for the Promotion of Library, Archive and Museum Heritage. He is also President of the Doctoral School Council. His educational background includes a Laurea degree (summa cum laude) in Electronic Engineering (1994) and a Ph.D. in Electronic and Communication Engineering (1998), both from Polytechnic University of Torino. From 1994 to 1996, he worked at NASA/Goddard Space Flight Center in Greenbelt, MD, USA. Professor Grivet Talocia's research focuses on passive macro-modeling of concentrated and distributed interconnect structures for Signal/Power Integrity, order reduction techniques, and modeling and simulation of fields, circuits, and their interactions. His work spans several key areas including fast simulation of transmission lines (TOPLine technique), macromodeling and model order reduction, simulation methods for fields and circuits, passivity enforcement of lumped macromodels, waveform relaxation techniques, and wavelet applications. His research has significant applications in electromagnetic compatibility and signal integrity verification of complex electronic systems. His recent publications demonstrate strong trends in model order reduction techniques applied to power integrity verification, advanced macromodeling for electromagnetic compatibility, nonlinear circuit analysis, uncertainty quantification in PCB design, and power electronics modeling. These works consistently address practical engineering challenges in high-speed electronic design with emphasis on computational efficiency and accuracy. URSI Young Scientist Award (1999) Best symposium paper (2006) Three IBM Shared University Research Awards (2007-2009) IEEE Transactions on Advanced Packaging Best Paper Award (2007) Best EPEP conference paper awards (2007, 2008) Best Associate Editor Award - IEEE Transactions (2020) Best Conference Paper Award (2020) Three Intel SRS Grants (2022-2024) IEEE Fellow (2018) Professor Grivet Talocia actively supervises PhD students working on cutting-edge topics including machine learning applications in signal integrity, model reduction techniques, and electromagnetic compatibility. He has secured significant research funding through competitive grants including PRIN projects and multiple industry-sponsored research contracts with major technology companies such as IBM, Intel, Nokia, Hitachi, and Infineon. His technology transfer activities include co-founding the spin-off IdemWorks (acquired by CST in 2016) and maintaining active collaborations with industry partners. He leads the EMC Group (Electromagnetic Compatibility) within the Department of Electronics and Telecommunications and has developed the autoCircuits web service for automated generation of circuit theory problems. His research has been recognized by inclusion in the top 2% worldwide researcher catalog (Stanford) since 2019.

Mohsen Taheri AndaniView profile

Assistant Professor

• Advanced Materials
• Additive Manufacturing
• Materials Science
• +5 more

Mohsen Taheri Andani is an Assistant Professor in the Department of Mechanical Engineering at Texas A&M University. He holds a Ph.D. in Mechanical Engineering from the University of Michigan (2022), an M.Sc. in Materials Science and Engineering from the University of Michigan (2018), an M.Sc. in Mechanical Engineering from the University of Toledo (2015), and a B.Sc. in Mechanical Engineering from Isfahan University of Technology (2012). His research focuses on the processing-structure-properties relationships of advanced materials, additive manufacturing, physical/ mechanical metallurgy, and mechanical behavior of materials, with a particular emphasis on grain boundary engineering and crystallographic texture control in metals processed via additive manufacturing methods. Dr. Andani has received prestigious awards including the 2022 Robert M. Caddell Memorial Award for Research, the 2021 Richard and Eleanor Towner Prize for Outstanding Ph.D. Research, and the 2020 Ivor K. McIvor Award, all from the University of Michigan. His work bridges fundamental materials science with advanced manufacturing technologies, aiming to optimize material performance through multiscale control of microstructures. His research group, the Multiscale Manufacturing and Mechanics of Materials (M4) Lab, explores the interface between additive manufacturing and materials mechanics. Current projects include the Center for Scientific Machine Learning for Material Sciences (AFSOR), reducing qualification time in additive manufacturing (America Makes), and structural evaluation via non-contact sensors (DARPA). He actively seeks motivated Ph.D. students for Fall 2025 and welcomes undergraduate/master’s students to join his team. Dr. Andani’s publications emphasize experimental and computational studies of microstructural evolution in additively manufactured metals, including grain boundary effects on dislocation dynamics, crystallographic texture control in NiTi alloys, and thermomechanical property optimization of materials like 316L stainless steel and Cu-Cr-Zr alloys. His work integrates in situ characterization techniques with advanced modeling to predict and enhance material performance.

• Corrosion and Surface Technology
• Hydrogen Embrittlement of Metals
• Material Technology for the Oil Industry
• +4 more

Roy Johnsen is a Professor in the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU), specializing in corrosion and surface technology. With a Dr.ing. degree from NTH (1984), he has extensive industry experience from Statoil Research Centre (1985-1991) and CorrOcean (1991-2004), where he expanded the company globally. His current research focuses on hydrogen embrittlement, corrosion protection, and integrity management in offshore systems, with collaborations across Europe, Asia, and the Americas.

• Behavioral modeling
• Electromagnetic compatibility
• Macromodeling
• +7 more

Stefano Grivet-Talocia is a Full Professor at the Department of Electronics and Telecommunications at the Polytechnic University of Turin, where he also serves as Director of the Doctoral School and President of the Doctoral School Council. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, the University Committee for Research, Technology Transfer and Services to the Territory, and the Commission for the Promotion of Library, Archive and Museum Heritage. His academic career spans over two decades at Politecnico di Torino, where he has established himself as a leading researcher in electromagnetic modeling and signal integrity. Grivet-Talocia earned his Laurea degree (summa cum laude) in Electronic Engineering in 1994 and his Ph.D. in Electronic and Communication Engineering in 1998, both from the Polytechnic University of Turin. Between 1994 and 1996, he conducted research at NASA/Goddard Space Flight Center in Greenbelt, Maryland. His educational background laid the foundation for his expertise in electromagnetic modeling, wavelet analysis, and signal processing. His research focuses on behavioral modeling, electromagnetic compatibility, macromodeling, model order reduction, numerical modeling, passivity, power integrity, signal integrity, transmission lines, and wavelets . Grivet-Talocia is particularly renowned for his work on passive macromodeling of interconnect structures, development of the TOPLine technique for transmission line simulation, and pioneering contributions to passivity enforcement algorithms. He has co-authored the first book entirely dedicated to Macromodeling (2016) and developed innovative approaches to waveform relaxation and wavelet-based signal processing. His recent publications (2024-2025) demonstrate continued leadership in model order reduction, with significant contributions to data-driven modeling of linear and nonlinear systems, power integrity analysis, and electromagnetic compatibility. His work spans both theoretical advances in numerical methods and practical applications in circuit design, with strong industry relevance particularly for semiconductor and electronic design automation companies. IEEE Fellow (2018-present) Three Intel SRS Grants (2022-2024) Three IBM SUR Grant Awards (2007-2009) Best Associate Editor Award - IEEE Transactions on Components, Packaging and Manufacturing Technology (2020) Multiple Best Conference Paper Awards (2006-2020) URSI Young Scientist Awards (1999) Ranked among the "top 2% worldwide researchers" (Stanford) since 2019 Grivet-Talocia actively supervises doctoral students including Michele Cusano, Sara Paknezhad Panahi, Antonio Carlucci, and Kun Zhao. He has secured numerous research grants from competitive national calls (PRIN) and commercial contracts with industry partners including Intel, IBM, Nokia, Hitachi, Infineon, and Cadence. His technology transfer activities include co-founding the spin-off IdemWorks (2007-2016), which was acquired by CST in 2016. He also developed the autoCircuits web service for automated circuit problem generation, widely used in electrical engineering education. He leads the EMC Group (Electromagnetic Compatibility) at DET and has been instrumental in establishing the Compact Dynamical Modeling research area. His work has practical applications in high-speed electronics design, with algorithms embedded in commercial tools like IBM PowerSPICE. Grivet-Talocia maintains strong industry connections through his research projects and serves as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technology.

Iwona M JasiukView profile

Professor

• Composite Materials
• Materials Science
• Biomedical Engineering
• +4 more

Professor Iwona M. Jasiuk is a multi-disciplinary academic affiliated with the University of Illinois, holding professorships in Mechanical Science and Engineering, Biomedical and Translational Sciences, Bioengineering, Aerospace Engineering, and other departments. She is also affiliated with the National Center for Supercomputing Applications (NCSA), Beckman Institute for Advanced Science and Technology, and the Carl R. Woese Institute for Genomic Biology. Her research focuses on composite materials, bio-inspired structures, additive manufacturing, and computational mechanics, with a strong emphasis on integrating artificial intelligence into materials science. Her work spans topics such as material characterization, metamaterials design, and radiation effects on materials. Notable research areas include thin-ply composites, lattice structures derived from geometric principles, and the mechanical properties of bio-inspired systems like equine hoof walls. She has pioneered the use of deep learning networks for predicting material behavior in complex systems. Professor Jasiuk has received prestigious awards, including the ASME Fellow, SES Fellow, and Vebleo Scientist Award. Her research is supported by collaborations across engineering, biology, and computational fields, leveraging advanced facilities like NCSA for high-performance computing.

Aldo MozzanicaView profile

Researcher

• X-ray Detectors
• Synchrotron Technology
• Free Electron Lasers
• +2 more

Aldo Mozzanica is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory for X-ray Nanoscience and Technologies. He holds a degree in Physics from Insubria University and a Ph.D. from the University of Milan, where his doctoral work focused on scintillating fiber vertex detectors for CERN's Antiproton Decelerator facility. At PSI, he leads detector development projects for synchrotron and free-electron laser applications. His research centers on advancing X-ray detector technology, including: Developing next-generation integrating pixel/strip detectors (JUNGFRAU, GOTTHARD) Improving frame rates, noise performance, and radiation hardness Exploring novel detector concepts for XFEL/synchrotron applications Enabling new experimental capabilities in structural biology and materials science Mozzanica's 135+ publications focus on X-ray detector innovation, with recent work emphasizing: Hybrid pixel detector optimization for 4th-generation light sources On-chip digitization and charge transport modeling High-speed data acquisition systems Applications in crystallography, spectroscopy, and phase-contrast imaging As principal developer of the JUNGFRAU detector, he oversees: ASIC design, testing, and characterization Readout electronics and firmware development Module production and supply chain management Commissioning at SwissFEL endstations

Ashutosh S. GandhiView profile

Professor

• Ceramics
• High Temperature Protective Coatings
• Thermal Barrier Coatings (TBCs)
• +11 more

Prof. Ashutosh S. Gandhi is a Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay), where he has been serving since December 2017. Previously, he was an Associate Professor at IIT Madras from 2012 to 2015 and an Assistant Professor there from 2006 to 2012. He held a Postgraduate Researcher position at the University of California, Santa Barbara from 2001 to 2005. His educational qualifications include a Ph.D. and M.E. in Metallurgy from the Indian Institute of Science (IISc), Bangalore, specializing in Ceramics, and a B.E. in Metallurgical Engineering from Visvesvaraya National Institute of Technology, Nagpur, where he secured the university rank. Prof. Gandhi's research focuses on the Science of Ceramics , particularly High Temperature Protective Coatings such as Thermal Barrier Coatings (TBCs) and Environmental Barrier Coatings (EBCs), Surface Engineering , High Entropy Ceramics , Phase Transformations , and Metastable and Amorphous Materials . His work bridges fundamental materials science with industrial applications in aerospace, energy, and nuclear sectors. The selected publications highlight a strong trend in advanced ceramic materials, especially zirconia-based systems, rare earth silicates, and high entropy oxides. The research spans synthesis (sol-gel, combustion), processing (spark plasma sintering), and characterization of phase evolution, thermal stability, and mechanical properties under extreme conditions. Key themes include entropy stabilization, nanocrystallinity, and high-temperature performance. He has secured significant research funding from national and international agencies including the Science & Engineering Research Board, Aeronautics Research & Development Board, Department of Science & Technology, Naval Research Board (DRDO), Indian Space Research Organisation, The Boeing Company, and Pratt & Whitney. He also collaborated with GE India Technology Center on critical literature reviews. Prof. Gandhi holds an Indian patent on a thermal barrier coating made of high entropy oxide ceramics. He has contributed to the field through peer-reviewed journal publications and book chapters in prestigious publications by Springer and Pan Stanford. His research group at IIT Bombay is actively involved in developing next-generation ceramic materials for extreme environments, including icephobic coatings for aerospace and protective coatings for refractories. The lab utilizes advanced spectroscopic and materials characterization techniques.

Guo PingView profile

Associate Professor

• Precision Engineering
• Intelligent Metrology
• Advanced Manufacturing Technologies
• +5 more

Guo Ping is an Associate Professor of Mechanical Engineering at Northwestern University, leading the Advanced Intelligent Manufacturing Laboratory (AIM). His research focuses on precision manufacturing, intelligent metrology via deep learning, and advanced manufacturing applications. He holds a Ph.D. from Northwestern University and a B.S. in Automotive Engineering from Tsinghua University. Education: Ph.D. in Mechanical Engineering, Northwestern University, Evanston, IL B.S. in Automotive Engineering, Tsinghua University, Beijing, China Research Interests: Dr. Guo’s work emphasizes innovations in precision engineering, including ductile-regime machining, smart metrology systems, and robotics-driven manufacturing. Key areas include structural coloration, additive manufacturing, and human-robot collaboration in industrial settings. His lab explores cutting-edge techniques like ultrasonic vibration machining and machine learning for defect detection and process optimization. Publications Trends: Recent work spans AI-driven quality control (e.g., photometric stereo networks), robotic swarm patterning, and wearable fatigue monitoring systems. His research bridges machine learning, robotics, and traditional manufacturing to address scalability and precision challenges. Awards: F.W. Taylor Medal (CIRP, 2023) ASME Kornel F. Ehman Manufacturing Medal (2021) SME Outstanding Young Manufacturing Engineer Award (2020) Professional Service: Associate Editor of the Journal of Manufacturing Processes (2017–present). Active in organizing conferences and reviewing for top journals. Labs & Teams: Directs the AIM Lab, which integrates robotics, AI, and advanced materials to solve problems in precision fabrication and smart manufacturing. Current projects include structural coloration for anti-counterfeiting and fatigue prediction in industrial workers.

• Multiphase Flows
• Fluid-Structure Interaction
• Computational Fluid Dynamics
• +3 more

Yan Delaure is Associate Professor of Fluid Mechanics at Dublin City University's School of Mechanical and Manufacturing Engineering and Deputy Director of the DCU Water Institute. His research focuses on multiphase flows, environmental hydraulics, and computational fluid dynamics applications in wastewater treatment and marine systems. Research includes microbubble dynamics for aeration, fluid-structure interactions in deformable systems, and biomimetic antifouling solutions. Recent publications explore advanced simulation methods for turbulent flows and additive manufacturing process optimization.

• Sustainable Manufacturing
• Laser Processing
• Green Manufacturing
• +6 more

Paul Mativenga is a Professor of Mechanical and Aerospace Engineering at The University of Manchester, leading research in sustainable and advanced manufacturing. His roles include strategic leadership of Social Responsibility and Equality, Diversity, and Inclusion within the Faculty of Science and Engineering. He holds a PhD from the University of Liverpool and is a Member of the CIRP Academy for Production Engineering. Research focuses on resource-efficient manufacturing, laser processing, and circular economy strategies. Key interests include sustainable manufacturing technologies, energy reduction in machining, and recycling systems. He leads the Laser Processing Research Centre (LPRC) and collaborates on projects like the RE3 initiative for plastic recycling optimization. Recent work emphasizes carbon emission modeling in manufacturing, additive manufacturing optimization, and policy frameworks for industrial sustainability. He has supervised multiple PhD students and received the 2014 A M Strickland Prize for contributions to mechanical engineering. Active editorial roles include associate editorships at Elsevier and Sage Publications. His laboratory, the Laser Processing Research Laboratory, supports cutting-edge research in laser-material interactions and sustainable processes.

• Tribology
• Materials Science
• Surface Engineering
• +5 more

Auezhan Amanov is an Associate Professor at the Faculty of Engineering and Natural Sciences, Tampere University, specializing in the Engineering Materials Science (EMS) department. His research focuses on tribology, surface engineering, and advanced materials processing. He leads the 'Tribology and Surface Modification' research group, aiming to enhance machine element performance through surface treatments and manufacturing innovations. Dr. Amanov is an active member of international tribology societies (STLE, JAST, KTS), chairing the 'Surface Engineering' committee at STLE. His work emphasizes improving wear resistance, fatigue life, and tribological performance of materials like titanium alloys, high-entropy alloys, and thermal spray coatings. His research integrates additive manufacturing, laser-based processes, and severe plastic deformation techniques to optimize material properties. Key contributions include studies on ultrasonic nanocrystal surface modification (UNSM) for enhancing mechanical and tribological characteristics. Collaborations with industries and academic institutions globally drive his mission to translate research into practical solutions for manufacturing efficiency and sustainable development. Dr. Amanov holds an h-index of 34 (Google Scholar) and has authored numerous peer-reviewed articles on materials science and tribology advancements. Teaching responsibilities include tribology and fatigue-related courses, reflecting his expertise in both academic and applied engineering domains. His vision includes advancing circular economy practices through bearing restoration technologies and improving 'Made in Finland' manufacturing competitiveness through material science innovations.

• Additive Manufacturing
• Laser Powder Bed Fusion
• Materials Science
• +2 more

Prof. Dr.-Ing. Johannes Henrich Schleifenbaum is a Professor and Chair of Digital Additive Production at RWTH Aachen University, where he leads research in the Profile area Production Engineering (ProdE). His work advances additive manufacturing (AM) through interdisciplinary approaches combining materials science, process engineering, and digital technologies. His research encompasses: Laser powder bed fusion (LPBF) process optimization and defect mitigation Development of novel alloys/composites for AM applications Sustainable manufacturing practices including material recycling Integration of AI/ML for accelerated material and process design Digital tools for automated design and distributed manufacturing Recent publications (2023-2025) demonstrate a strong focus on: Multi-material processing and microstructure control Machine learning-driven alloy development Standardization and scalability of AM processes Advanced simulations for meltpool dynamics and thermal behavior Applications in aerospace, construction, and biochemical engineering He leads the Chair of Digital Additive Production, collaborating with industry partners to translate research into industrial solutions for next-generation manufacturing.

Olivier TougaitView profile

Professor

• Solid-state chemistry
• Nuclear materials
• Actinide-based intermetallic compounds
• +3 more

Olivier Tougait is a Professor at the Chemistry, materials and processes for sustainable nuclear power (CIMEND) department within the Unité de Catalyse et Chimie du Solide (UCCS) at Université Lille . He specializes in solid-state chemistry, nuclear materials, and actinide-based compounds, with a focus on understanding fuel cycle processes for nuclear energy. Academic Background: PhD in Chemistry (1998, Université de Rennes1), Postdoctoral Fellow at Northwestern University (1998-2000). Career: Lecturer at Rennes1 (2000-2014), now Professor at UCCS since 2014. Collaborations include the French Alternative Energies and Atomic Energy Commission (CEA) , Orano , and Framatome . Research Interests: Actinide-based intermetallic compounds Phase diagrams of nuclear materials Magnetocaloric properties Fuel cycle process optimization Synthesis and thermodynamic behavior of uranium alloys Collaborative industrial nuclear R&D Publications since 2012 focus on: Uranium-molybdenum fuel characterization Germanium/Aluminum substitution in actinide systems Thermal stability of uranyl peroxide nanoclusters Crystallographic analysis of heavy-fermion materials Labs: Directs the joint research laboratories LR4CU and LRC PUMA, which collaborate with Orano and Framatome on nuclear fuel cycle innovations.

Daniel OropezaView profile

Assistant Professor

• Additive Manufacturing
• Materials Science
• Aerospace Engineering
• +7 more

Dr. Daniel Oropeza is an Assistant Professor in the Materials Department at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on advancing materials and manufacturing technologies for aerospace systems and extreme environments, emphasizing process-microstructure-property relationships. He leads the Materials and Manufacturing for Aerospace and Extremes (MMAX) Lab, which develops novel techniques for powder synthesis, additive manufacturing, and ceramic processing. Education: Ph.D. in Mechanical Engineering (MIT, 2021) M.S. in Aeronautics and Astronautics (Stanford, 2014) B.S. in Aerospace Engineering (UT Austin, 2012) Research Interests: His work spans powder synthesis (e.g., ultrasonic atomization of refractory alloys), additive manufacturing (porous materials, reactive binder jetting), and functional ceramics for applications in hypersonics, space propulsion, and robotics. The MMAX Lab integrates material science, mechanical engineering, and advanced manufacturing testbeds to enable responsive manufacturing solutions. Awards & Grants: LLNL Early Career UC Faculty Initiative Award (2024) Global Young Investigator Award (ACerS, 2025) ONR Grant for Ultrasonic Atomization Research (2024) CNSI Challenge Grant for UC M 2 ADE Consortium (2024) Advising & Labs: He mentors a team of graduate and undergraduate students in the MMAX Lab, focusing on projects like NASA-funded research on refractory metal alloys for space propulsion. The lab collaborates with national labs (e.g., LLNL) and industry partners to bridge fundamental research and applied technologies. Labs/Teams: MMAX Lab develops custom equipment for powder bed fusion, nanoparticle jetting, and reactive binder jetting systems. Current projects include ultra-high temperature ceramics (UHTCs) for extreme environments and multi-material manufacturing for defense and energy applications.