Jose Manuel Herrero Martinez is a Professor in the Department of Analytical Chemistry at the Universitat de València's Faculty of Chemistry. His research focuses on advanced analytical methodologies, including capillary electrophoresis, mass spectrometry, and sustainable sample preparation techniques. Education: PhD in Analytical Chemistry from Universitat de València (2004), thesis on capillary electrophoresis for environmental/industrial quality control. His research spans green analytical chemistry , aptamer-based extraction , metal-organic frameworks (MOFs) , and miniaturized paper-based devices . Recent work emphasizes 3D printing applications, eco-friendly solvents, and innovative sorbent materials for drug/environmental contaminant analysis. Key trends in his publications include solid-phase microextraction advancements , allergen detection in food , and AI integration in scientific research . Collaborative projects highlight cross-disciplinary approaches with materials science and environmental toxicology. As a supervisor, he has mentored researchers like M. Vergara-Barberán and H. Martínez-Pérez-Cejuela, with a focus on translating theoretical concepts into practical analytical tools.
Theodosia Stratoudaki is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Strathclyde, Faculty of Engineering. She joined the university in 2017 as a Strathclyde Chancellor’s Fellow and has since become a leading researcher in laser ultrasonics and remote sensing. She holds a PhD from the University of Warwick and completed postdoctoral research at the University of Cambridge and the University of Nottingham. Her research interests lie at the intersection of optics, acoustics, and materials engineering, focusing on laser-induced phased arrays (LIPAs) for remote ultrasonic imaging, non-destructive evaluation (NDE), and in-process monitoring in extreme environments. She applies these techniques to advanced manufacturing, including additive manufacturing and nuclear applications, collaborating with industrial partners such as the UK Atomic Energy Authority, Sellafield, and Hitachi. The trends in her recent publications show a strong emphasis on improving the resolution, efficiency, and adaptability of laser ultrasound systems—particularly through innovations in array design, grating lobe suppression, signal processing, and machine learning integration. Her work increasingly incorporates robotics and deep learning for automated inspection and tomography. She has received multiple scientific awards, including: EPSRC DTA PhD studentship (2018) BINDT Annual Conference Paper Award (2018) Best Paper Award (2018) Best Paper Award (2015) Dr. Stratoudaki is actively involved in research leadership and mentoring. She is currently recruiting PhD students and supervising multiple funded projects, such as the Robotic Laser Ultrasonic Inspection System and Impact Enhancement for Adaptive Laser Induced Phased Arrays (ALIPA). She also contributes to professional service as co-chair of the departmental Equality, Diversity and Inclusion (EDI) committee, chair of the Institute of Physics’ Physical Acoustics group, and a member of the British Standards Institute’s ultrasonics committee (EPL/87). She leads a research team focused on laser ultrasonics and is part of collaborative networks involving the University of Strathclyde’s Centre for Ultrasonic Engineering and industrial partners. Her lab develops advanced optical systems for non-contact ultrasonic inspection, often integrating robotics and AI for real-time, in-process evaluation.
Prof. Kumar Sridharan is the Grainger Professor and Vilas Distinguished Achievement Professor at the University of Wisconsin-Madison , with appointments in the Departments of Nuclear Engineering & Engineering Physics and Materials Science & Engineering. His research spans materials science, metallurgy, and nuclear engineering, focusing on nuclear reactor materials, irradiation effects, corrosion, surface modification, and advanced manufacturing technologies. Research interests include: Nuclear reactor materials development Irradiation effects and corrosion of materials Surface engineering and coatings Machine learning applications for materials analysis High-temperature materials behavior Key awards: Bollinger Award for Vision and Leadership Chancellor’s Award for Excellence in Research Mentoring Undergraduates Award Fellowships in American Nuclear Society and other institutions
Prof. Dr. Magdalena Speicher is a Professor at the Kempten University of Applied Sciences , affiliated with the Faculty of Mechanical Engineering . She serves as an Internationalization Officer and heads the Materials Engineering Laboratory (HN101 - Zwick-Roell, H121). Her research focuses on experimental materials testing, microstructure-property correlations, and lifetime assessment of metallic components under extreme conditions.
Eva Blasco is an Associated Group Leader at the Functional Polymeric Materials Research Unit under the Institute of Nanotechnology at Karlsruhe Institute of Technology (KIT), with affiliations to the University of Heidelberg. Her work bridges 3D printing , polymer chemistry , and nanophotonics , focusing on light-driven material design. Her research centers on photochemically activated 3D printing inks , light-stabilized dynamic materials , and multi-photon lithography . She explores how two-color light absorption , alkoxyamine chemistry , and visible light post-processing enable adaptable microstructures. Key trends include 4D printing , biodegradable inks , and temperature/light-responsive systems . Blasco's publications highlight collaborations with institutions like KIT, University of Heidelberg, and international teams. Her work spans photonic metamaterials , bio-inspired 3D scaffolds , and subtractive laser lithography , often involving interdisciplinary applications of light in material science.
Dr Dong Jun (DJ) Kim is a Senior Lecturer in the School of Chemistry at UNSW Sydney since 2023, focusing on the design and synthesis of supramolecular compounds for energy storage applications. Previously, he served as a Lecturer at the same institution from 2018 to 2023. Ph.D. in Materials Science and Engineering, KAIST (2015) B.Sc. in Materials Science and Engineering, Yonsei University (2010) His research bridges supramolecular chemistry and energy storage materials, particularly in developing organic rechargeable batteries, solid-state electrolytes, and graphene-based composites. He explores molecular pump systems, redox-active macrocycles, and sustainable synthesis methods. Recent publications highlight trends in solid-state battery technology, molecular self-assembly, and chiral material engineering. His work spans from fundamental molecular design to scalable manufacturing processes for practical energy applications. Scientific recognition includes the prestigious ARC Discovery Early Career Researcher Award (DECRA) 2021–2024. He has secured research grants from Australia's Economic Accelerator and UNSW Faculty of Science – Industry Network Seed Funding. Collaborations with global institutions and co-publications with researchers like Prof. J. Fraser Stoddart (Nobel Laureate) underscore his contributions to advancing battery technologies via supramolecular and nanoscale innovations.
Dr. Frank Alifui-Segbaya is a Senior Lecturer at Griffith University's School of Dentistry and Oral Health, with expertise spanning dental technology, biomaterials, and additive manufacturing (3D printing). He has held academic roles since 2012 and serves as a consultant to Fiji National University. His work focuses on digital design integration, biomaterials analysis, and advancing affordable, safe dental care. Education: PhD in Materials Science (Griffith University, 2018) MPhil in Biomaterials Science (Cardiff Metropolitan University, 2011) Advanced Certificate in Dental Technology (Academia-Dental, Germany, 2006) Research Interests: Additive manufacturing, biomaterials characterization, dental device innovation, zebrafish embryo models for toxicity screening, and CAD/CAM integration in clinical workflows. His work addresses safety, precision, material durability, and environmental ethics in dental technology. Scientific Awards: Recipient of the 2024 Griffith Teaching Awards and Dean's Commendation for educational leadership. His research outputs emphasize technological impact on patient outcomes and global dental care standards.
Dr. Glenn Myers is a Research Fellow in the Department of Materials Physics at Australian National University (ANU), where he works within the X-ray tomography and applications research group. His work focuses on advanced imaging techniques, particularly in the field of X-ray tomography and computed tomography. He collaborates extensively with researchers across multiple institutions and has made significant contributions to the development of imaging methodologies for both scientific and industrial applications. Dr. Myers' research interests span X-ray tomography, computed tomography, micro-CT imaging, image reconstruction algorithms, and beam hardening correction techniques. His work addresses fundamental challenges in imaging physics, including photon statistics, spectral information extraction, and dose reduction in imaging procedures. He has developed novel approaches for motion correction, alignment, and high-fidelity imaging of complex materials, particularly additively manufactured metal components. His research bridges theoretical physics with practical applications in materials science and non-destructive testing. Analysis of Dr. Myers' publication record reveals a strong focus on advancing X-ray imaging technologies, with particular emphasis on ghost imaging techniques, neutron imaging applications, and methods for improving image quality and reducing radiation dose. His work demonstrates consistent innovation in imaging methodology over the past decade, with applications spanning medical imaging, materials characterization, and environmental science. The interdisciplinary nature of his research connects physics, engineering, and materials science to solve complex imaging challenges. Key Collaborators: Andrew Kingston, Wilfred Fullagar, Shane Latham, Glenn Sheppard Research Group: X-ray tomography and applications group Primary Applications: Materials characterization, non-destructive testing, medical imaging
Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.
Kamran Khan is an Associate Professor in Aerospace Engineering at Khalifa University of Science and Technology, UAE. With a Ph.D. and M.S. in Mechanical Engineering from Texas A&M University and a B.E. from NED University of Engineering and Technology, Pakistan, he specializes in multi-scale mechanics of advanced materials. Education: Ph.D., Mechanical Engineering, Texas A&M University (2011) M.S., Mechanical Engineering, Texas A&M University (2006) B.E., Mechanical Engineering, NED University (2002) His research spans viscoelasticity , additive manufacturing , smart composites , and metamaterials , with applications in aerospace, automotive, and healthcare. He has secured >$1.1M in research grants and supervised Ph.D./M.S. students. Current projects include Origami-inspired self-deployable composites and smart composites for next-gen aircraft . Scientific Contributions: Published >100 archival journal/conference papers Principal/Co-PI for 5+ projects Reviewer for international journals
Professor Sławomir Borysiak is a distinguished academic at Poznań University of Technology, where he serves as Head of the Polymer Department within the Faculty of Chemical Technology. With a career spanning over two decades, he earned his Master of Science in Engineering in 1996, PhD in Chemical Sciences in 2000, completed his habilitation in 2013, and achieved the rank of university professor in 2020. His work bridges academic research and industry applications, serving as Faculty Coordinator for Cooperation with Industry and as a member of the University Team for Cooperation with the Economy. Current Position: Professor, Head of Polymer Department Institution: Poznań University of Technology, Faculty of Chemical Technology Scientific Disciplines: Chemical Sciences (75%), Materials Engineering (25%) ORCID: 0000-0003-3485-4787 Professor Borysiak's research focuses on the physicochemistry of polymers, plastics processing and recycling, and polymer composites containing renewable fillers of plant origin. His work extends to structural studies of low molecular weight compounds, minerals, polymers and nanomaterials, with particular emphasis on the functional properties of plastics and composite materials. His laboratory investigates innovative approaches to wood-polymer composites, nanocellulose applications, and sustainable material development. Analysis of Professor Borysiak's publication record reveals a strong focus on sustainable polymer composites, with particular emphasis on lignocellulosic materials, nanocellulose applications, and renewable fillers. His recent work shows increasing integration of nanotechnology with traditional polymer science, particularly in developing antimicrobial properties, enhanced mechanical characteristics, and improved sustainability profiles for polymer composites. The research spans fundamental material science to practical applications in construction, packaging, and biomedical fields. Professor Borysiak has received recognition through his appointment as Vice-Chairman of the University Disciplinary Committee for Doctoral Students and as a member of the Board of the Polish Chemical Society, Poznań Branch. He also serves on the Polish Society of Calorimetry and Thermal Analysis and the Awards Committee of the Polish Chemical Society. As an educator, Professor Borysiak has supervised multiple doctoral dissertations, including those of Majka Odalanowska (2023) and Aleksandra Grząbka-Zasadzińska (2017). His teaching portfolio includes courses on physicochemistry of polymers, composites, nanomaterials, polymer materials technology, and chemical technology. He maintains active scientific collaborations with institutions including University of Edinburgh, Institute of Molecular Physics of the Polish Academy of Sciences, Casimir the Great University in Bydgoszcz, and several other Polish universities. His laboratory focuses on polymer research with particular expertise in wood-plastic composites, nanocellulose applications, and sustainable material development. Current projects involve developing antimicrobial polymer composites, enhancing material properties through novel hybrid fillers, and investigating the effects of various treatments on lignocellulosic materials.
Andrew Wessman is an Assistant Professor in the Department of Materials Science and Engineering at the University of Arizona, where he has served since August 2019. His expertise bridges industrial and academic domains, with a prior 14-year tenure at GE Aviation/GE Additive focused on high-temperature alloys and additive manufacturing (AM) processes. Education: PhD in Materials Science and Engineering, University of Cincinnati MS in Metallurgical Engineering, University of Utah BS in Metallurgical Engineering, University of Utah Wessman’s research centers on physical metallurgy, mechanical behavior of materials, and AM alloy/process design. His work emphasizes high-temperature alloys for aviation, computational modeling, and process optimization in additive manufacturing. Recent publications highlight his focus on AM technologies, including Ti-6Al-4V and Ni-based superalloys, with advancements in microstructural stability, defect mitigation, and machine learning-based process monitoring. His 2023–2025 studies explore fatigue mechanisms, interfacial stability, and thermal treatments. Scientific Awards: Recognized as “Most Supportive Junior Faculty” for MSE Faculty Core Faculty (2019–2020) Wessman’s scholarship includes 1 book chapter, 18 refereed publications, and 8 issued patents. His teaching interests span metal additive manufacturing, solid-state chemistry, and alloy design.
Björgvin Hjörvarsson is a Professor in Physics at Uppsala University's Department of Physics and Astronomy, specifically within the Materials Physics division where he served as Head until 2024. He is Principal Investigator of the Super ADAM project, Sweden's national neutron facility, and an elected member of both the Royal Academy of Sciences and the Royal Society of Sciences in Uppsala. His research spans low-dimensional aspects of phase transitions, particularly in magnetism and hydrogen in metals. His work has evolved to emphasize finite size effects on structural and magnetic ordering, additive manufacturing, and energy storage and transformation. His research methodology heavily relies on neutron scattering techniques and international collaborations across experimental and theoretical physics. Hjörvarsson's recent publications (2022-2025) reveal a strong focus on metallic glasses produced via additive manufacturing, artificial spin ice systems, magnetic superlattices, and advanced characterization techniques. His work bridges fundamental physics with practical applications in energy storage, materials engineering, and biomedical technologies. Vattenfalls Energistipendium (1985) Liljewalchs scholarship (1989) Good-Guy Award from Fysiska Sällskapet (1990) Idée award from Uppsala University (1995) Benzelius award from Royal Society of Sciences of Uppsala (1995) Letterstedtska award from Royal Swedish Academy of Sciences (2003) Hjörvarsson has supervised 27 PhD students to completion, 1 licenciate student, and currently guides 9 PhD students while supervising 2-3 master's students annually. His research is supported by significant infrastructure including the Super ADAM neutron facility at ILL, Grenoble, which he initiated and developed as Sweden's national neutron scattering infrastructure. Beyond traditional research, he's known for innovative outreach efforts including educational videos on neutron science. Hjörvarsson leads the Materials Physics research group, which maintains strong international collaborations and focuses on experimental condensed matter physics with connections to engineering applications. His team operates specialized laboratories for thin film growth, magnetic characterization, and neutron scattering experiments, supporting both fundamental research and industrial applications.
Alexander Yarovoy is a Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology (TU Delft), specializing in Radar Systems, Antenna Design, and mm-Wave Technology. His research bridges theoretical and applied domains, with a focus on automotive radar, weather radar, and machine learning integration in radar signal processing. Active in radar, antennas, and microwave engineering Key contributions to automotive radar and human activity recognition Collaborates on datasets like RaDelft for autonomous driving Recent work explores OTFS radar for communication integration, polarimetric calibration, and high-resolution imaging algorithms. His research often addresses challenges in real-world applications, such as urban meteorology and vehicular safety. In 2023, he received the outstanding paper award at IEEE MetroAeroSpace for radar waveform coexistence studies. He participates in conferences and editorial activities, advancing radar metrology and phased array technologies.
Dr. Thi Phuong Khanh Nguyen is a researcher at the Ecole Nationale d'Ingénieurs de Tarbes (ENIT) , affiliated with the College of Engineering and Department of Systems . Her work focuses on Prognostics and Health Management (PHM) , predictive maintenance, and industrial data analytics, combining machine learning with physics-informed modeling to address uncertainty in system degradation. Teaching: Mathematics for engineers, Probability, Statistics, Operating safety Research: Health indicators, diagnostics, prognostics, multimodal data fusion Methods: Data mining, physical and data-driven models, decision support systems Tools: FAST, Petri nets, UML, HMM, RNN, CNN, Transformer architectures Her recent publications highlight advancements in explainable AI , physics-informed neural networks , and multimodal learning for fault detection, battery RUL prediction, and robotic inverse dynamics. She also explores blockchain and federated learning for decentralized prognostics.
