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Editorial Board
Editor-in-Chief
Wai Yee Yeong
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
Interests:

3D printing; Bioprinting; Tissue engineering; Hybrid metal; AI machine learning for 3D printing

Profile:

Professor and Chair of School of Mechanical & Aerospace Engineering at NTU Singapore

Top 50 Asia Women Tech Leaders 2024

SG100 Women in Tech 2021

TCT Women in 3D Printing Innovator Award 2019

Top 1% Highly Cited Researchers 2022,2024 by Clarivate

Ranked #1 in 3D printing (prior 5 years) by Scholar GPS

 

Associate Editor
Shweta Agarwala
School of Engineering and Applied Science, Ahmedabad University, India
Interests:

Printed electronics; Bioelectronics; Biodegradable electronics; Nanoelectronics; Additive manufacturing; Machine learning for materials

Special Issue and Columns in AccScience journals
Special Issue in AI for Process and Design
Profile:

IEEE senior member and Chair of Women in Engineering (WiE) affinity group, Denmark section, IEEE. 

Editorial Board Members
Antonio Gloria
Department of Industrial Engineering, University of Naples Federico II, Naples, Italy
Interests:

Design for additive manufacturing; Generative design; FEA; Biomimetics and bioinspiration; Materials science and technology; Biomaterials; Material characterization; Concrete technologies; Biomechanical engineering; Nanomaterials synthesis; Polymeric materials

Profile:

Antonio Gloria is Professor of Design and Methods of Industrial Engineering at the University of Naples Federico II. He is also Professor of “Bio-Inspired Generative Design for Additive Manufacturing”. Since 2011 he is Visiting Professor at the CDRSP - Polytechnic Institute of Leiria, Portugal. He was a Senior Researcher at the National Research Council of Italy (Institute of Polymers, Composites and Biomaterials).

Antonio Gloria is a member of the Italian Association of Design Methods and Tools for Industrial Engineering. In 2016 he was appointed as member of the Scientific Advisory Board of the Fraunhofer International Joint Laboratory IDEAS – University of Naples Federico II and member of The Royal Society (UK) - International Exchanges Committee in January 2020.

Antonio Gloria was awarded and appointed as “Future Leader” in Science and Technology (“Dialogue between Nobel Laureates and Future Leaders”, STS forum – October 2015, Kyoto, Japan). He is a member of international scientific committees and chaired technical sessions in seminars, conferences and workshops. He is currently author of international papers, book chapters, communications/contributions in international and national conferences. He is also reviewer and Editorial Board Member of international scientific journals.

Faris M. AL-Oqla
Department of Mechanical Engineering, Hashemite University, Zarqa, Jordan
Interests:

Green composites; Lignocellulosic materials; Biocomposite technology; Sustainable composites; Materials modeling; FEA; Mechanical behavior of materials; Material characterization; Nanomaterials.

Profile:

Ranked #19 in Design (prior 5 years) by Scholar GPS

Mehdi Amiri
Department of Mechanical Engineering, George Mason University, Fairfax, VA, 22030, USA
Interests:

Additive manufacturing; Fatigue and fracture; Corrosion and electrochemistry; Reliability; Computational materials science and engineering; Machine learning

Profile:

Mehdi Amiri is an Assistant Professor in the Mechanical Engineering Department at George Mason University. He joined George Mason in the Spring of 2019 and since then he is enjoying training and mentoring the next generation of talented mechanical engineers. His research interests focus on the behavior of structural materials under operational conditions, in particular the effects of materials' microstructure on performance under mechanical and environmental loadings. This encompasses a broad class of materials systems, from engineering alloys to state-of-the-art high entropy alloys (HEAs), with problems including the effect of the manufacturing process route on mechanical properties, microstructure evolution, and materials performance. 

Ruzena Bajcsy
Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
Interests:

Artificial intelligence; Biosystems & computational biology

Profile:

Ruzena Bajcsy is the NEC Distinguished Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She was the founding director of the Center for Information Technology Research in the Interest of Society (CITRIS) in 2001, a multicampus organization comprising 4 campuses: UC Berkeley, UC Davis, UC Santa Cruz, and UC Merced. As part of her activities in CITRIS, and together with the University of California Center for the Humanities, she played a founding role in establishing a program of Digital Humanities. Before joining UC Berkeley, she headed the Computer and Information Science and Engineering Directorate at the National Science Foundation (1999–2001). From 1972 to 2001 she was a professor in the Computer and Information Science Department at the University of Pennsylvania, where she established in 1978 the General Robotics, Automation, Sensing, and Perception (GRASP) Lab. As director of the GRASP lab she fostered interdisciplinary research activities and attracted faculty from electrical and mechanical engineering as well as psychology/cognitive science and of course computer science.

Dr. Bajcsy is a member of the National Academy of Engineering (1997) and National Academy of Medicine (1995) as well as a fellow of the Association for Computing Machinery (ACM) and the American Association for Artificial Intelligence (AAAI). In 2001 she received the ACM/AAAI Allen Newell Award, and in November 2002 she was named one of the 50 most important women in Discover Magazine. She is the recipient of the Benjamin Franklin Medal for Computer and Cognitive Sciences (2009) and the IEEE Robotics and Automation Award (2013) for her contributions in the field of robotics and automation.

Her current research is in the use of robotic technology, namely measuring and extracting noninvasively kinematic and dynamic parameters of individual in order to assess their physical movement capabilities or limitations. If there are limitations, her students have designed assistive devices that can compensate for the lack of kinematic agility and /or physical strength.

Valentina Emilia Balas
Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania
Interests:

Artificial intelligence;  Autonomous systems; Bioengineering; Brain-computer interface; Computer vision; Human-computer interaction; Real-time & embedded systems; Robotics; Scientific computing & simulation; Spatial & geographic information systems

Profile:

Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 400 research papers.

She is the Head of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in the interval 2005-2022. She is a member of the specialized committee "Computers, Information Technology, and Systems Engineering" of the National Council for Attestation of University Titles, Diplomas, and Certificates for the 2024-2028 term. Dr. Balas participated in many international conferences as Honorary Chair and Keynote Speaker. Recently she was working on a project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro.

She is a member of European Society for Fuzzy Logic and Technology (EUSFLAT), member of SPIE and an IEEE Senior Member, During the interval 2021-2022 she was a member of IEEE European Public Policy Committee Working Group on ICT. From May 2023 Dr. Balas is an associate member of Romanian Academy of Scientists. She is recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019), “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023 and 2024) and Diploma – Section Information Technology from The General Association of the Engineers in Romania 2023.

Michail Beliatis
Department of Business Development and Technology, Aarhus University, Herning, Denmark
Interests:

IoT; Robotics for manufacturing; AI for nano-materials; Automated processes; 3D printing; Business model innovation; Circular economy; Sustainability

Special Issue and Columns in AccScience journals
Special Issue in AI for Process and Design
Profile:

Head of Digi Lab at AU BTECH. Established and lead the RI&D work at the lab as well as educational activities. Many years of experience in research innovation and development (RI&D) within solar energy sector, SCADA, PLC, SQL Server, Labview, intelligent internet of things (IoT), Web pages with Wordpress, HTML5, CSS, JavaScript, PHP, Python, Azure IoT Hub, VS .NET, VMware, GitHub, Smart sensors, Nanotechnology, Laser processing, Printed & conventional electronics design, Power supplies for LEDs, Industrial automation's, Polymer accelerated degradation studies and failure modes prediction, Roll to roll coating and flexible encapsulation and software programming.

Filippo Berto
Department of Chemical Engineering Materials Environment, Sapienza University of Rome, Rome, Italy
Interests:

Mechanics of materials; Fatigue; Fracture mechanics; Structural integrity; Additive materials and weldments

Profile:

Filippo Berto is full professor of Mechanics of Materials at La Sapienza University of Rome, Department of Chemical Engineering, Materials and Environment. He received the Phd from University of Florence in 2006 and the master degree in Industrial Engineering from University of Padua in 2003. He has been international chair in fracture mechanics, fatigue, and structural integrity at the Norwegian University of Science and Technology of Trondheim, Norway. Previously he was associate professor of machine design at the University of Padua, Italy.

Dermot Brabazon
School of Mechanical Engineering at Dublin City University (DCU), Dublin, Ireland
Interests:

Additive manufacturing; Laser processing; Materials engineering; Near net shape forming; Data capture, Analysis and control; AI for process and part design

Special Issue and Columns in AccScience journals
Profile:

Dermot Brabazon holds a Full Professorship of Materials Science and Engineering in the School of Mechanical Engineering at Dublin City University (DCU). He received his BEng (Mechanical Engineering) and PhD (Materials Science) from University College Dublin. From 1995 to 2000 he worked with Materials Ireland, a state materials science research centre. From 2000 he was appointed as a lecture at Dublin City University, promoted to Senior Lecturer in 2006, Deputy Head of School in 2007, Associate Dean for Research in 2009, Professor in 2014, and Full Professor in 2020. In recognition of his academic achievements and contributions to development of engineering technologies, he was conferred with the President’s Award for Research in 2009, Fellow of the Institute of Mechanical Engineering in 2015, and received Invent Commercialization awards in 2015, 2017 and 2018. Since 2012, he has been Director of the Advanced Processing Technology Research Centre at DCU and since 2017 he co-founded and was appointed Deputy-Director of I-Form, the national centre for Advanced Manufacturing Research. 

He has published over 250 internationally peer reviewed papers and supervised more than 35 researchers to project completion. His research is focused in the areas of materials and processing technologies, including Additive Manufacturing, Near Net Shape Forming, Laser Processing and Separation technologies. These overlapping activities are focused toward the development of advanced materials science and engineering knowledge to enable improved product and production, capability and quality, for the benefit of companies and the broader society. 

Ilaria Cacciotti
Department of Engineering, INSTM RU, University of Rome “Niccolò Cusano”, Via Don Carlo Gnocchi, Roma, Italy
Interests:

Biomaterials; Bioceramics; Biopolymers; Biocomposites; Ecosustainable materials

Profile:

Prof. Dr. Ilaria Cacciotti is Full Professor of Biomaterials & Tissue Engineering and Materials Science and Technology at University of Rome "Niccolò Cusano", with consolidated expertise in the synthesis and characterization of (bio)materials and eco-sustainable systems. She graduated in Medical Engineering at the University of Rome “Tor Vergata” (Master of Science Award ‘Fondazione Raeli’). Afterwards, she completed the Ph.D in Materials Engineering (Ph.D Thesis Award ‘Marco Ramoni 2011, Ph.D Thesis AIMAT Award 2012) and she obtained the II Level Master degrees in “Forensic Genetics” and in "Protection against CBRNe events". She is expert in the synthesis, processing and characterisation of biocompatible nanostructured materials, particularly for applications in the biomedical, environmental and agri-food sectors, including bioceramics (undoped and doped calcium phosphates, bioactive glasses), biopolymers and composites.

For her research activity, she achieved several awards, including 8th CCT Award “Best Oral Presentation for Young Researchers 2011”, 10th International Award ”Giuseppe Sciacca” for Young Students, the European Biomaterials and Tissue Engineering Doctoral Award (EDA-ESB (European Society of Biomaterials)) Award 2011, ”Top Cited Author 2011-2012 ChemEngJ”, “L’ORÉALUNESCO Italy for Women and Science 2011”, “Under 35 Talents in Lazio 2012”, “Featured Articles and Cover Pages for the following International Journals Chem Eng J, Nanotechnology, Advanced Materials Interfaces”, ”Young Researcher Award Elsevier” Materials Science and Engineering C” 2014, “Good Energy Award 2016”, “SRB Excellence Award 2018”, “Best Poster Award for 18th International Conference ”Life Sciences for Sustainable Development” 2019”, “BIOREMED Excellence Award 2019”, “Polymers 2020 Outstanding Reviewer Award”, “IOP trusted reviewer 2021”, “Inspirational Scientist Award in the International Scientist Award on Engineering, Science, and Medicine 2021”, “Women Researcher Award” in the International Scientist Awards on Engineering, Science and Medicine 2021”, “International Research Awards on Science, Technology and Management (INSO) 2022”.

Yanlong Cao
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
Interests:

Precision engineering; Computer vision; 3D printing

Danni Chang
School of Design, Shanghai Jiao Tong University, Shanghai, China
Interests:

Artificial intelligence for design; Smart product service system; Cross-device interaction; Product innovation strategy

Special Issue and Columns in AccScience journals
Profile:

Prof. Danni Chang is an Associate Professor and Vice Dean of the School of Design at Shanghai Jiao Tong University. She obtained her Bachelor's degree in Mechanical Engineering from Tsinghua University and her PhD degree from the Design and Human Factors Lab at Nanyang Technological University, Singapore. Prof. Chang has been awarded the Shanghai "Pujiang Talent" (2017), Shanghai "Chenguang Scholar" (2018), Shanghai Jiao Tong University "Morning Star Scholar" (2019), Shanghai Jiao Tong University "Outstanding Young Professional" (2023). Her teaching excellence has been honoured with the National Teaching Achievement Award and Shanghai Outstanding Teaching Achievement Award. She has guided students to win over 20 domestic and international design competition awards. As a principal investigator, she has led multiple research projects funded by the National Natural Science Foundation of China (NSFC), the Ministry of Education Philosophy and Social Science Foundation, and the Shanghai Philosophy and Social Science Foundation. She has published over 60 academic papers, and serves as a reviewer for more than 10 SCI-indexed publications. Her research interests include smart product-service systems, human-computer interaction (HCI), user study, and data-driven design innovation.

Chongdu Cho
Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea
Interests:

Mechanics of composite materials; Finite element method; Computational stress analysis; Thermal stress

Profile:

Chongdu Cho is working as a professor of both mechanical engineering and smart mobility at Inha University, South Korea. His career covers more than 30 years of research (from KAIST, Republic of Korea (1983-85), a Research Center in Hyundai Group, Korea (1985-88), University of Michigan (1988-91), and Inha University (1992-present)). His laboratory monitors the most recent research trends in industrial technologies. As of 2021, he guided more than 148 advanced researchers with master's and doctoral degrees working in various technical areas. His lab has published more than 386 peer-reviewed journals and proceedings. In addition, his leading R&D has proved its achievement by receiving many awards from the minister of commerce of the Korean government and leading industries and academic societies, such as KSME and KSAE. His research area is vast due to his research focusing on developing advanced goals, including many fields, especially mechanics, automotive engineering, robotics, and biomedical appliances. Mostly those are fused technologies focused on driving high-impact growth to identify and initiate new opportunities based on novel capabilities. He also serves as a chief editor, editorial board member, and reviewer in many domestic and international journals.

Alfredo Cuzzocrea
Big Data Engineering and Analytics Laboratory (iDEA Lab), University of Calabria, Rende, Italy
Interests:

Big data; Database systems; OLAP; Data warehousing; Knowledge discovery

Profile:

Alfredo Cuzzocrea is an associate professor in computer engineering with the University of Calabria, Rende, Italy. He is the Head of the Big Data Engineering and Analytics Lab of the University of Calabria. His current research interests include span the following scientific fields: big data, database systems, data mining, data warehousing, and knowledge discovery. He is author or co-author of more than 520 papers in international conferences, international journals and international books. He is recognized in prestigious international research rankings, such as: (i) Top Scientists in Computer Science and Electronics by Guide2Research, Clifton, NJ, USA; (ii) Top Italian Scientists in Computer Sciences by Virtual Italian Academy, Manchester, UK; (iii) Top Researchers in Computer Science 2013–2018 by SciVal Elsevier, Amsterdam, Netherlands.

Gianni D'Angelo
Department of Computer Science, University of Salerno, Fisciano, SA, Italy
Interests:

Soft computing algorithms; Data mining and machine learning; Deep learning; knowledge discovery; Optimization problems; Pervasive computing; Trustworthiness modeling; High performance machines; Parallel computing; Big data analytics

Profile:

Gianni D'Angelo is a Tenured Adjunct Professor (RTD.B) at the University of Salerno, Italy. From April, 14 2021 he qualified as Second Level University Professor for the Sector 01/B1 - Computer Science, and from April 29, 2021 as Second Level University Professor for the Sector 09/H1 - Systems of Information Processing. He lectures "Computer Networks" and "Computer Architecture" at the Department of Computer Science of the University of Salerno. He has taught "Fundamentals of Computer Science and Programming" at the Department of Industrial Engineering of the same University. From 2012 to 2019, he has been a Contract Professor of "Elements of Computer Science" at the Department of Law, Economics, Management and Quantitative Methods of the University of Sannio, Benevento, Italy. He received the M.S. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Computer Science, applied electromagnetism and telecommunications from the University of Salerno, Salerno, Italy, in 1998 and 2003, respectively. His research interests concern with the development and implementation of algorithms based on Artificial Intelligence, Deep Learning, and Machine Learning for Knowledge Discovery in BIG DATA context and implemented for High-Performance machines - HPC, and Parallel Computing. He gained experience in the world of the pattern recognition, neural networks, fuzzy logic, ANFIS systems, genetic and evolutionary algorithms, and parallel programming applied in various scientific and industrial fields. He authored many articles published in international journals, books and conferences, and currently serves as a reviewer, editorial board and guest editor for several international journals.

Frédéric Demoly
1. ICB UMR 6303, Belfort-Montbeliard University of Technology, UTBM, Belfort, France
2. Institut universitaire de France (IUF), Paris, France
Interests:

Computational design; AI-based design; Neuro-symbolic AI; 4D printing; Multi-material additive manufacturing; Active composite structures

Profile:

Frédéric Demoly is currently Associate Professor at ICB UMR 6303 CNRS from Univ. Bourgogne Franche-Comté UBFC, UTBM (France). Previously, he was involved as a Postdoctoral Researcher at Laboratory of Computer-Aided Design and Production (LICP) from Swiss Federal Institute of Technology (EPFL) in Lausanne (Switzerland) by being team leader in FP7 running projects as well as FP7 project proposals. He obtained his PhD in Integrated design and Product-Process Data Management from UBFC in 2010. He received his Master’s degree in Mechanical Engineering from UBFC in 2007. Dr. Demoly is also associate member of the Design Society and senior member in IFIP WGs 5.1 & 5.7. He is currently leading a research group with 3 PhDs students on formalism, methods and tools for proactive design of adaptable and transformable products. His current research interests include proactive design engineering, knowledge formalization and representation, advanced computer-aided design, formal ontology development, qualitative description in product design and manufacturing, orchestration of information flows in PLM, spatiotemporal mereotopology applied to adaptable and reconfigurable systems, additive manufacturing, smart materials and 4D printing.

Shi Xue Dou
1.Institute of Energy Materials Science (IEMS), University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, 200093, China;  
2.Institute for Superconducting & Electronic Material, University of Wollongong, Wollongong, Australia
Interests:

Materials engineering; Structure and dynamics of materials; Nano chemistry; Condensed matter physics; Physical properties of materials

Profile:

Shi Xue Dou is director and professor of Institute of Energy Materials Science at University of Shanghai for Science and Technology since 2022, was a Distinguished Professor at University of Wollongong, UOW (2014-2021, Research Ambassador to Asia (2018-2021), and the founding director of Institute for Superconducting & Electronic Materials at UOW. He received his PhD at Dalhousie University, Canada in 1984, DSc at the University of New South Wales in 1998 and was elected as a Fellow of the Australian Academy of Technological Science and Engineering in 1994. He was awarded the Australian Government’s Centenary Medal in 2003 and Australian Order of Member in 2019 for his contribution to materials science and engineering, multiple Australian Professorial Fellowships from 1993 to 2011, the Vice-Chancellors Senior Excellence Award in 2008, Outstanding Partnership Award in 2012, the ASTS Lifetime Achievement Award in 2018, Lifetime Achiever by Australian Research Magazine in 2020, the International Cryogenic Materials Conference (ICMC) Lifetime Achievement Award in 2021, Lifetime achievement leading scientist in nanotechnology, materials engineering and electrochemistry in Australia by Australian Research Magazine in 2021,2022 and 2023 and International Magnesium Science & Technology Committee Lifetime Achievement Award in 2024. He is named as a highly cited researcher in materials science by Thomson Reuters since 2018 and in both materials science and chemistry in 2020-2024 with citations of 110000 and h-index of 161 (Scopus). His research focusses on energy and electronic materials. He has supervised and co-supervised 100 PhD students, more than 60 postdoctoral and visiting fellows. He is program leader for Auto CRC 2020 on electrification program and the on-going ARENA 2016-2022 on smart sodium storage system program. He established Institute of Energy Materials Science (IEMS) in June 2023 at USST and has attracted 25 world talents to join the IEMS.

Zhimin Du
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Interests:

AI for energy system; Data mining and machine learning; Building energy saving and intelligent control; Data science

Special Issue and Columns in AccScience journals
Profile:

Zhimin Du is an associate professor at the Institute of Refrigeration and Cryogenic Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University. He concurrently serves on the council of the Shanghai Association of Refrigeration as Deputy Secretary-General and Vice-Chair of its Academic Committee. After earning his B.S. and M.S. from Xi’an Jiao Tong University and his Ph.D. from Shanghai Jiao Tong University, he spent 2014–2015 as a visiting scholar at the National Institute of Standards and Technology (NIST) in the United States.
Dr. Du has spearheaded numerous projects funded by the National Natural Science Foundation of China, as well as key initiatives of the Ministry of Education, the Ministry of Science and Technology, and several high-profile international and industrial collaborations. Among his accolades are the 2013 Osaka Research Center “Achievement Award – Gold Prize” from Daikin Industries, Japan; the NIST “NBS Entropy Award” (2015); the Shanghai “Pujiang Talent” Award (2017); the Chinese Association of Refrigeration’s Outstanding Young Scientist Award (2017); and the Best Paper Award at the 12th ISHVAC International Conference (2023).
His research centers on AI-driven building energy systems, large-scale models for the built environment, big-data analytics in building energy, optimal control and energy-saving strategies for HVAC&R systems, predictive fault detection and health management in refrigeration and air-conditioning, and the broader field of data science.

Mohammad Elahinia
Mechanical Industrial and Manufacturing Engineering Department, University of Toledo, Toledo, OH 43606, USA
Interests:

Alloy development; Shape memory alloys; Additive manufacturing; DED; LPBF; AI

Profile:

Dr. Mohammad Elahinia is the Dean of the College of Engineering and a University Distinguished Professor in Engineering at The University of Toledo. Appointed Dean in March 2025, he previously served as the Interim Dean for one year and as Chair of the Mechanical, Industrial, and Manufacturing Engineering (MIME) department for five years. He has been a faculty member at UToledo since 2004.

Dr. Elahinia received his M.S. in Mechanical Engineering from Villanova University in 2001 and his Ph.D. in Mechanical Engineering from Virginia Tech in 2004. His research is centered on smart material systems and advanced manufacturing, with a focus on the additive manufacturing of functional materials like shape memory alloys for aerospace and biomedical applications. His research has been consistently funded by federal agencies including the National Science Foundation, the Department of Defense, the Department of Energy, and NASA.

Dr. Elahinia is a Fellow of the American Society of Mechanical Engineers (ASME) and the International Society for Optics and Photonics (SPIE). His contributions have been recognized with numerous honors, including the University of Toledo's Outstanding Scholarly and Creative Activity Award (2024), the Virginia Tech Mechanical Engineering Society of Distinguished Alumni Award (2023), the John J. Gallen Memorial Award from Villanova University's College of Engineering (2023), and his appointment as a University Distinguished Professor in Engineering (2020).

Gerd Grau
Department of Electrical Engineering and Computer Science, York University, Toronto, Canada
Interests:

Printed electronics; Additive manufacturing; Microfabrication; Semiconductor devices; Sensors; Machine learning for processing

Profile:

Gerd Grau is an Associate Professor of Electrical Engineering at York University. He received his BA and MEng from the University of Cambridge and his PhD from UC Berkeley in 2016. He has extensive experience fabricating semiconductor devices using printing technology with a focus on organic thin-film transistors. His expertise spans the study of fundamental printing physics, the development of new printing tools using microfabrication, the optimization of material properties through process innovations, and the integration of device process flows. His research is funded by NSERC, CIHR, Mitacs and industry collaboration.

Qi Gu
Beijing Institute for Stem Cell and Regenerative Medicine & Institute of Zoology, Chinese Academy of Sciences, Beijing, China
Interests:

Bioinspired engineering; Biofabrication; 3D printing; Biomedical materials; Biomechanics

Profile:

Dr Gu is currently appointed as a Full Professor, Director of Chinese Academy of Sciences (CAS) Engineering Lab for Intelligent Organ Manufacturing and group leader of Bioinspired Engineering, at Institute for Stem Cell and Regeneration (ISCR) | Institute of Zoology (IOZ), CAS. Dr Gu has interdisciplinary training in materials chemistry and stem cells. His first doctoral career (2009-2013) is mainly engaged in research on stem cells at Northeast Agricultural University and Chinese Academy of Sciences. He completed a second PhD (2013-2017) in Chemistry at University of Wollongong (UOW) followed by being appointed as an Associate Professor at IOZ, CAS and establishing his lab, Bioinspired Engineering. He became Full Professor at IOZ, CAS at the end of 2019. Prof Gu focuses on developing novel biomaterials and advanced technologies, 3D/4D bioprinting to regulate stem cell fate, fabrication of functional 3D organs and even live organisms in vitro. These studies are applied to understand the mechanism of life and establish novel therapeutic methodologies.  Prof Gu has previously published 33 first-author and corresponding author peer-reviewed journal articles, including Adv. Funct. Meter., Adv. Sci., Angew. Chem. Int. Ed., Materials Horizons, Adv. Healthc. Mater. etc., mostly on bioprinting, biofabrication, biomaterials and stem cell engineering over the past 5 years. Furthermore, Prof Gu has been invited to finish 3 book chapters and co-inventor on seven patents.

 

Selected Prizes, awards and honors
• 2023 Australia China Alumni Award for Research and Science (Judges’ Commendation and Winner), Australia China Alumni Association
• 2023 Excellent Final Evaluation, Hundred Talents Program of the Chinese Academy of Sciences
• 2023 Outstanding Young Talents of “Phoenix Project” in Chaoyang District, Beijing
• 2022 Chinese Society of Stem Cell Research (CSSCR) Young Investigator Award
• 2022 Excellent Young Scientists Fund, National Natural Science Foundation of China (NSFC) 
• 2020 Final Evaluation of  “Hundred Talents Program”, Chinese Academy of Sciences
• 2017 “Hundred Talents Program” Youth Talent of Chinese Academy of Sciences 
• 2017 UOW Outstanding Thesis
• 2017 Chinese Government Award for Outstanding Self-Financed Students Abroad

Mohammad Heidari-Rarani
Department of Mechanical Engineering, University of Isfahan, Isfahan, Iran
Interests:

Additive manufacturing; FFF 3D&4D printing; Metastructures; Polymer composites; Fatigue and fracture of composites

Profile:

World's top 2% scientists (2024): Published by Elsevier.

Top researcher of Isfahan province in the field of engineering (2023)

World's top 2% scientists (2023): Published by Elsevier.

 

Im Doo Jung
Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
Interests:

Machine learning for manufacturing & materials; Machine learning for additive manufacturing; Powder metallurgy; Bio-medical 3D printing; Meniscus-guided printing; Printed electronics

Profile:

Professor, Ulsan National Institute of Science and Engineering (UNIST) (2020 ~)

Senior Researcher, Korea Institute of Materials and Science (KlMS) (2017 ~ 2020)

Postdoctoral Fellowship, Nanyang Technological University (NTU) (2016 ~ 2017)

Ph.D. Pohang University of Science and Technology (POSTECH), Departement of Mechanical Engineering (2016)

 

Seong Su Kim
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Interests:

Composite materials; Composite manufacturing optimization using AI; Mechanical design with composite materials based on AI optimization

Profile:

Seong Su Kim is an Associate Professor in the Department of Mechanical Engineering at KAIST. He has expertise in the mechanical design of composite structures and the improvement of energy storage systems using functional composite materials.

After receiving his Ph.D. degree from the Department of Mechanical Engineering of KAIST in 2007, he worked for two years as a research professor at KAIST to develop a new LNG containment system using composite structures. He moved to the University of Tokyo, Japan in 2009 as a Global Centers of Excellence Program (GCOE) researcher. There he conducted research on the curing process for thermosets composites using optical fiber sensors until 2010.

From 2010 to 2017, he worked as an Assistant Professor and Associate Professor in the Department of Organic Materials and Fiber Engineering at Chonbuk National University in Korea. During that time, he concentrated on the composite manufacturing process to enhance the mechanical properties of thermoplastic composites. He joined the Department of Mechanical Engineering of KAIST in February 2017.

Hyunwoong Ko
School of Manufacturing Systems and Networks, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA
Interests:

Additive manufacturing; AI and machine learning for design and manufacturing; Cyber-physical systems; Data fusion and integration; Digital twins; Physics-informed data-driven modeling; Semiconductor manufacturing

Profile:

Dr. Hyunwoong Ko is an Assistant Professor in the School of Manufacturing Systems and Networks at Arizona State University, where he directs the Digital Manufacturing and Design Laboratory. He joined the ASU faculty in January 2022 after completing postdoctoral training in the Systems Integration Division at the National Institute of Standards and Technology (NIST), USA, where he also conducted research as a research associate during his Ph.D. studies. He received his Ph.D. in mechanical and aerospace engineering from Nanyang Technological University in September 2019. He has developed an interdisciplinary background in AI, data analytics, machine learning, physics-informed data-driven modeling, and autonomous systems in design and manufacturing. His research team focuses on developing cutting-edge machine learning methods and theories for multimodal and multiscale data fusion, as well as the integration of prior and newfound data-driven knowledge. Dr. Ko’s research has been supported by the National Science Foundation (NSF), NIST, and industry partners, including PADT.

A. Senthil Kumar
Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, 117575, Singapore
Interests:

Smart manufacturing; AI in manufacturing; Industry 4.0; Machine tool design

 

Panagiotis Kyratsis
Department of Product and System Design Engineering, University of Western Macedonia, Kila, GR50100 Kozani, Greece
Interests:

AI in product design; CAD/CAM/CAE; AI in manufacturing

Pascal LORENZ
Department of Computer Science, University of Haute Alsace, Colmar, France
Interests:

Networks; Wireless; QoS; IoT; Security

Jay Lee
Clark Distinguished Professor and Founding Director of Industrial AI Center, Department of Mechanical Engineering, University of Maryland College Park, College Park, MD, USA
Interests:

Industrial AI; Cyber physical systems; Digital twin and smart manufacturing

Profile:

Professor Jay Lee is a Clark Distinguished Chair Professor in Mechanical Engineering at University of Maryland, College Park, and the founding director of the Industrial AI Center. Previously, he served as the Founding Director of the NSF I/UCRC on Intelligent Maintenance Systems (IMS) which has developed research memberships with over 100 global companies since 2000 and was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. Formerly, he also served as Vice Chairman and Board Member for Foxconn Technology Group. His research interest primarily focuses on Industry 4.0, PHM, Smart Manufacturing, Industrial AI and Machine Learning, and Digital Twin.

Xiaopeng Li
School of Mechanical and Manufacturing Engineering, The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
Interests:

Additive manufacturing; Physical metallurgy; Metals & alloys; Machine learning; Sustainability

Profile:

Dr Xiaopeng Li is currently an Associate Professor in the School Mechanical and Manufacturing Engineering at UNSW Sydney, leading a research group working on additive manufacturing and advanced materials research. He received his PhD degree in Materials Engineering from The University of Queensland, Australia in 2013, where his PhD thesis won the Best Thesis Award by Australian Research Council Centre of Excellence for Design in Light Metals in 2013. After his PhD, he joined The University of Western Australia as an Assistant Professor, working on additive manufacturing of metallic glasses, light alloys and their composites till 2016. Following this, he joined one of the world-famous additive manufacturing groups led by Prof Jean-Pierre Kruth in KU Leuven, Belgium as a Research Fellow till 2017. In 2020, Dr Li was awarded Australian Research Council DECRA Fellow. Since 2020, Dr Li is listed as World’s Top 2% Scientists in Materials & Applied Physics & Enabling Strategic Technologies in the database of the most-cited scientists developed at Stanford University.

Weifu Li
College of Informatics, Hua Zhong Agricultural University, Wuhan, China
Interests:

Artificial intelligence for materials; Interpretable machine learning; Microstructure recognition

Zhong Alan Li
Department of Biomedical Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong
Interests:

Organ-on-a-chip; Organoid; Biomaterials; Biofabrication; Disease modeling; Musculoskeletal regeneration

Profile:

Vice-Chancellor Assistant Professor
Department of Biomedical Engineering (BME)
Faculty of Engineering, CUHK

Associate Member
School of Biomedical Sciences (SBS)
Faculty of Medicine, CUHK

Member
Institute for Tissue Engineering and Regenerative Medicine (iTERM)
Faculty of Medicine, CUHK

Co-PI
Center for Neuromusculoskeletal Restorative Medicine (CNRM)
Hong Kong Science Park

Research Associate (by courtesy)
Peter Hung Pain Research Institute (PHPRI)
Faculty of Medicine, CUHK

Member
State Key Laboratory of Digestive Disease
Faculty of Medicine, CUHK

Member
Key Laboratory of Regenerative Medicine, Ministry of Education
SBS, Faculty of Medicine, CUHK

Education

2012-2016 Ph.D. in Biomedical Ceramics (MAE, CoE), Nanyang Technological University (NTU), Singapore
2008-2012 B.Eng. in Mechanical Engineering & Automation, South China University of Technology, China

Awards & Honors

  • 2022 CUHK Vice-Chancellor Early Career Professorship
  • 2021 Student Trainee Registration Award for ORS 2021, Orthopedic Research Society (ORS)
  • 2021 New Investigator Recognition Award Finalist, ORS
  • 2020 3rd place in the McGowan Institute for Regenerative Medicine Annual Scientific Retreat Poster Contest
  • 2019 Young Investigator Award, Wake Forest Institute for Regenerative Medicine (WFIRM)
  • 2019 Scientific Excellence Award, Tissue Engineering and Regenerative Medicine International Society Americas (TERMIS-AM) Student and Young Investigator Sections (SYIS)
  • 2019 Travel Award, University of Pittsburgh Postdoctoral Association (UPPDA) Annual Symposium
  • 2019 3Rs Award, ORS
  • 2017 Audience Favorite, Present Around The World (PATW) Asia Pacific Regional Final, The Institution of Engineering and Technology (IET)
  • 2017 First Place in Present Around The World (PATW) Singapore Final, IET
  • 2016 First Place in Young Persons’ World Lecture Competition (YPWLC) 2016, The Institute of Materials, Minerals and Mining (IOM3)
  • 2016 First Place in Young Persons’ Lecture Competition Singapore (YPLCS) 2016, The Institute of Materials (East Asia)
  • 2015 Dragon 100 Young Chinese Leader, Dragon Foundation, HK, China
  • 2011 Third Prize in the 4th National Energy-saving and Emission-reduction Contest in Technological Design for College Students, MOE China
  • 2011 ETS TOEIC Scholarship, ETS (Educational Testing Service) U.S.

Kaili Lin
1. College of Stomatology, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, Shanghai Research Institute of Stomatology, Shanghai, China
2. Department of Oral and Cranio-Maxillofacial Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Interests:

Biomaterials; Regenerative medicine; 3D printing; Bioprinting

Profile:

Dr. Kaili Lin, received his Ph.D degree from East China Normal University in 2008. Currently, he services as full professor, group leader and deputy director at Shanghai Key Laboratory of Stomatology. He has been awarded the National Youth Talent Support Program and Lu Jiaxi Award of Chinese Academy of Sciences (CAS) for Young Talents. He has been selected as the Outstanding Academic Leader of Shanghai, and Two-Hundred Talent of Shanghai Jiao Tong University School of Medicine. He worked as Assistant Professor, Associate Professor and full Professor at Shanghai Institute of Ceramics, CAS from 2001 to 2015. Then he served as full Professor at School & Hospital of Stomatology, Tongji University for 3 years. From 2018, Prof. Lin joined the faculty at Shanghai Jiao Tong University School of Medicine. He services as the Associate Editor and Editor Members of 10 Journals. His research interests focus on biomaterials and regenerative medicine, 3D-printing and biomedical applications for bone tissue, cartilage, skin, tooth, periodontium, and nerve tissue, etc. He has published over 120 peer-reviewed journal papers as first and corresponding authors, including in Biomaterials, Bone Research, Advanced Functional Materials, Nano Energy, Acta Biomaterialia, Bioactive Materials, etc. with over 6200 citations (H-index=47). He holds 15 authorized patents.

Xu Long
Northwestern Polytechnical University, Xi'an, China
Interests:

Machine Learning; Finite element simulation; Constitutive model; Damage model; Fatigue model; Phase field model; Nanoindentation; Crystal plasticity; Electronic packaging; Heterogeneity

Special Issue and Columns in AccScience journals
Jianxi Luo
Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore
Interests:

Design science; Mechanical engineering; Artificial intelligence; Bio-inspired design; Complexity science; Design theory and methodology; Urban mobility; Sustainable design; Innovation and entrepreneurship; Economics and public policy

Dragan Marinkovic
Department of Structural Analysis, TU Berlin, Germany
Interests:

Structural analysis; FEM; Structural dynamics; Real-time simulation; AI engineering applications; Nonlinear analysis; Transport; Logistics; Multi-criteria decision making

Abbas Milani
University of British Columbia Okanagan, Kelowna, Canada
Interests:

Textile Composites; Biocomposites; Materials constitutive relations; Finite element modelling; Robust inverse methods; Material selection for end-of-life design strategies; Multiple criteria decision making; Design and analysis of computer & physical experiments; Surrogate models for process optimization; Industry 5.0

Chilukuri K. Mohan
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244, USA
Interests:

Neural networks; Evolutionary algorithms; Anomaly detection

Seung Ki Moon
School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
Interests:

AI for the design of customized and sustainable products; Services and systems; Multidisciplinary design optimization; Data driven modeling and simulation; Design for 3D printing; Digital twins.

Nezih Mrad
National Defence and the Canadian Forces, Ottawa, Canada
Interests:

Artificial intelligence; Senior Program Management; Advanced systems science and technologies

Tuhin Mukherjee
Department of Mechanical Engineering, College of Engineering, Iowa State University, Ames, IA, United States
Interests:

Additive manufacturing; Mechanistic modeling; Heat transfer and fluid flow; Metallurgy; Residual stress; Distortion; Defects

Special Issue and Columns in AccScience journals
Roger Narayan
Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, NC, USA
Interests:

Laser-based fabrication of medical devices; Nanostructured biomaterials; Drug delivery; Laser processing of nanostructured and microstructured biomaterials

Tung Nguyen-Dang
College of Engineering and Computer Science, VinUniversity, Hanoi, Viet Nam
Interests:

Materials science; Integrated organic devices; Functional fibers; Polymer engineering; Organic semiconductors

Ping Feng Pai
Department of Information Management, National Chi Nan University, Taiwan
Interests:

Machine learning; Neural networks; Deep learning; Big data; Data mining; Metaheuristics and optimization

Stefanos Papanikolaou
NOMATEN Centre of Excellence, National Centre for Nuclear Research, Warsaw, Poland
Interests:

Materials informatics; Multiscale materials modeling; Statistical Mechanics; Alloy composition search and machine learning; Machine learning of strain images; Machine learning of interatomic potentials

Radu-Emil Precup
Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, Timisoara 300223, Romania
Interests:

Control structures and algorithms including conventional control; Fuzzy control; Data-driven control; Model-free control; Sliding mode control; Neuro-fuzzy control; Theory and applications of soft computing and machine learning; Systems modelling; Identification and optimization (including nature-inspired algorithms); Computer-aided design of control systems; Applications to mechatronics systems (including automotive systems and mobile robots); Embedded systems; Control of power plants; Servo systems; Electrical driving systems

Seunghwa Ryu
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Interests:

Multiscale and multiphysics simulation; Mechanics of materials; Design optimization through machine learning; Theories of composite materials

Sonal Shreya
Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
Interests:

Spintronics device; Compact modeling for integrated CMOS-Spintronics design; Neuromorphic computing; Spintronics for AI; Brain-inspired computing

Swee Leong Sing
Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore
Interests:

Additive manufacturing; 3D printing; 3D bioprinting; Artificial Intelligence; Machine learning

Special Issue and Columns in AccScience journals
Profile:

Dr Sing Swee Leong joins the Department of Mechanical Engineering, NUS, as an Assistant Professor in August 2021. Prior to joining NUS, he was a Presidential Postdoctoral Fellow at the School of Mechanical and Aerospace Engineering and Singapore Centre for 3D Printing, Nanyang Technological University, Singapore, after receiving the prestigious fellowship in 2020. Swee Leong was named a Highly Cited Researcher by Clarivate in 2024, 2023, and 2022. In 2022, he was also awarded the Young Professional Award by ASTM International for his work in additive manufacturing and contribution in standard development for the field. As a scientist and innovator, Swee Leong’s interest is enabling material development and creating strategic and sustainable values for Industry 4.0 and beyond through the use and integration of advanced manufacturing. He is actively involved in inter-disciplinary research.

Anil Srivastava
The University of Texas Rio Grande Valley, Department of Manufacturing and Industrial Engineering, Academic Services, Edinburg, TX 78541, USA
Interests:

Manufacturing engineering; Mechanical Engineering; Machining; Grinding

Tino Stanković
Engineering Design and Computing Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, Zurich, Switzerland
Interests:

Design for additive manufacturing; Computational design; Computational origami; Metamaterials; Personalized medicine; Structural optimization

Ephraim Suhir
Portland State University, Portland, OR, USA
Interests:

Thin films; Material characterization; Nanomaterials; Materials processing; Mechanical properties; Structural analysis; Analytical modeling in applied science and engineering; Finite element modeling

Gyorgy Szekely
Advanced Membranes and Porous Materials Center, Physical Science and Engineering Division (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Interests:

Separations; Membranes; Polymers; Chemical engineering; Process engineering; Nanofiltration; Machine learning; Sustainability; Green chemistry and engineering

Jeanne Tan
The Hong Kong Polytechnic University, Hong Kong, China
Interests:

Intelligent textiles; Wearables for fashion; Knitted and woven structures; Design-led STEM

Ehsan Toyserkani
Multi-Scale Additive Manufacturing (MSAM) Lab, Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada
Interests:

Additive manufacturing; In-situ monitoring and control of additive manufacturing processes; Modeling; Artificial intelligence 

Man Pun Wan
School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
Interests:

Urban environment and sustainability; Green building technologies; Smart building energy systems; Machine learning for modelling and control.

Pan Wang
Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A⁎STAR), 5 Cleantech Loop, 636732, Singapore
Interests:

Metal additive manufacturing; Artificial intelligence; Phase transformation and deformation; Metallic powder; High-throughput microstructure analysis; Novel structure design and optimization; Grain boundary engineering

Shenghao Wang
Materials Genome Institute, Shanghai University, Shanghai, China
Interests:

Solar cells; Photovoltaic technology; Photodetectors; Thin film growth; Materials genome; Surface & interface sciences; Opto-electronic material & devices

Profile:

Shenghao Wang is a researcher at the Institute of Material Genome Engineering at Shanghai University. His research focuses on the field of materials science, particularly in the area of perovskite materials and their applications in solar cells. Wang has made significant contributions to the understanding of energy level alignment at interfaces in metal halide perovskite solar cells and has explored various methods to improve the efficiency and stability of these devices. His work includes studies on the accelerated degradation of methylammonium lead iodide perovskites induced by iodine vapor exposure, as well as the development of smooth perovskite thin films using hybrid deposition methods. Wang has published several high-impact papers in renowned journals such as Advanced Materials Interfaces, Nature Energy, and Energy & Environmental Science. His research also involves the observation of double indirect interlayer excitons in heterostructures and the recycled utilization of nanoporous gold electrodes for cost-effective perovskite solar cell fabrication.

Hao Wang
Division of Light and Strong Materials, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China
Interests:

Materials genome; Machine learning; Structural materials

Special Issue and Columns in AccScience journals
Dazhong Wu
Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, USA
Interests:

Smart manufacturing; Additive manufacturing; Metamaterials; Machine learning

Kentaro Yaji
Department of Mechanical Engineering, The University of Osaka, Osaka, Japan
Interests:

Topology optimization; Data-driven design; Generative design; Additive manufacturing

W. Hong Yeo
Mechanical Engineering and Biomedical Engineering,Center for Human-Centric Interfaces and Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Interests:

Flexible electronics; Soft materials; Biosensors; Bioelectronics; Human-machine interfaces

Jingjie Yeo
Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USA
Interests:

Mechanics of biological materials; Materials design; Advanced manufacturing and materials; Biomechanics and mechanobiology

Zhen Yuan
State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, PR China
Interests:

Sensors; Integrated sensors; Intelligent sensor system; Gas sensors; Sensing materials

Y. Shrike Zhang
Harvard Medical School, Brigham and Women's Hospital, Boston, United States
Interests:

Biofabrication; Bioprinting; Biomaterials; Tissue engineering; Tissue models

Xing Zhang
Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China
Interests:

Biomaterials; Biomimetic materials; Additive manufacturing; Tissue engineering

Special Issue and Columns in AccScience journals
Yicha Zhang
INSA Hauts-de-France, Université Polytechnique Hauts-de-France, France
Interests:

Generative design; Design for AM; CAPP for AM; Data-driven integrated design & manufacturing;  Additive manufacturing

Profile:

Yicha Zhang is currently a Full Professor (Professeur des universités) in LAMIH UMR CNRS 8201, INSA Hauts-de-France, Université Polytechnique Hauts-de-France. He is actively engaged in design and planning for additive manufacturing, product-service system design, and data-driven CAX. With a portfolio of over 97 peer-reviewed publications, he was elected as a CIRP Associate Member in 2020 and received the prestigious CIRP Taylor Medal in 2021.

Pai Zheng
Wong Tit Shing Endowed Young Scholar in Smart Robotics, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
Interests:

Human-robot collaboration; Smart product-service systems; Industrial artificial intelligence

Junxing Zheng
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
Interests:

Artificial intelligence; Computer vision; Robotics; IoT technology; Civil engineering

Hongxiang Zong
Department of Material Science and Engineering, Xi'an Jiaotong University, Xi'an, China
Interests:

Mechanics of materials; Materials at extremes; AI for science; Multi-scale modeling; Machine learning

Assistant Editors
Nehru Devabharathi
Department of Materials Engineering, Indian Institute of Science (IISc), C V Raman Avenue, Bangalore, Karnataka, India
Interests:

Printed oxide electronics; Printed gas sensors; Thin film transistors; Biodegradable electronics; Electrolyte gating

Wei Long Ng
Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Interests:

3D bioprinting; Biofabrication; Bio-inks; Food printing; Machine learning

Profile:

Wei Long Ng currently works at Singapore Centre for 3D Printing (SC3DP), Nanyang Technological University (NTU). Wei Long does research in 3D bioprinting and his current project is on "Fabrication and Characterization of 3D Bioprinted Cultivated Meat".

Youth Editorial Board Members
Murali Mohan Cheepu
Welding Research Institute (Starwelds Inc.), Department of Materials System Engineering, Pukyong National University, Busan 612-022, Republic of Korea
Interests:

Additive manufacturing; Welding and Joining; Metal forming; Mechanic of materials

Zhen Liu
Department of Civil and Environmental Engineering, Penn State University, PA, USA
Interests:

Sustainable materials design; AI-driven materials discovery; Property prediction and optimization; Materials testing and evaluation; Data-driven multiscale modeling

Faeez Masurkar
Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab Emirates
Interests:

AI based nondestructive testing and structural health monitoring; Ultrasonic waves modeling and generation principles; Material science; Vibration diagnostics and control systems; Machinery diagnostics; Nonlinear laser optics; Macroscale composites;  nanocomposites; Smart materials; Cement-based reinforced concrete testing and evaluation

Haoyuan Shi
Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
Interests:

Mechanics of soft materials; Enhanced sampling methods; Protein-protein and protein-ligand interactions; Molecular-level mechanisms of protein behaviors; Multiscale modeling of hierarchical biological systems; Molecular representations and interatomic descriptors; Machine learning interatomic potentials; Phase stability and microstructures of high-entropy alloys

Jinlong Su
Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore
Interests:

Additive manufacturing; Machine learning; Alloy design; Process optimization; Modeling

Special Issue and Columns in AccScience journals
Yutai Su
Northwestern Polytechnical University, Xi'an, China
Interests:

Deep learning; Multi-scale modeling; Phase-field modeling; Crystal plasticity; Fracture; Reliability

Special Issue and Columns in AccScience journals
Bijun Tang
School of Materials Science & Engineering, Nanyang Technological University, Singapore
Interests:

2D materials; Phase engineering; AI for materials science

César M. A. Vasques
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
Interests:

Engineering applications of AI; Mechatronics and robotics; 3D printing materials and technologies; Multibody dynamics; Vibration and damping; Smart materials and structures; Computational and experimental mechanics; Instrumentation and control; Vibroacoustics of structures and musical instruments; Structural health monitoring; Impact and wave propagation; Composite materiais and structures; Machine elements and design; Power transformers noise and vibration

All members of the Editorial Board have identified their affiliated institutions or organizations, along with the corresponding country or geographic region. AccScience Publishing remains neutral with regard to any jurisdictional claims.
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International Journal of AI for Materials and Design, Electronic ISSN: 3029-2573 Print ISSN: 3041-0746, Published by AccScience Publishing