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Hua GuoView profile

Research Fellow

• Metrology
• Measurement Uncertainty
• Manufacturing Engineering
• +4 more

Hua Guo is a Research Fellow at Coventry University's Centre for Manufacturing and Materials, part of the Institute for Advanced Manufacturing and Engineering (AME). He holds a BSc in Mechanical Engineering from Nanjing University of Science and Technology, an MSc in Automotive Engineering from Coventry University, and a PhD in Mechanical and Automotive Engineering (Coventry University), focusing on finite element modeling of aircraft tires and rubber-like materials. His research interests include metrology, measurement uncertainty, and large-volume coordinate metrology systems. Key projects include H1perChain (2019–2023) on zero-emission vehicle supply chains, H1PERBAT (2017–2019) on high-performance batteries, and InnEx (2016–2020) on automotive exhaust systems. He has received the Research Excellence With Impact Award (2016). Recent research focuses on residual stress analysis in additive manufacturing (e.g., laser powder bed fusion, wire arc additive manufacturing) and material characterization of alloys like Inconel and titanium. His work bridges fundamental metrology principles with industrial applications to enhance manufacturing competitiveness.

Charles DayView profile

Lecturer

• Neural Networks
• Data Mining
• Computational Perception
• +3 more

Dr. Charles Day is a Lecturer in Computing at Keele University's School of Computer Science and Mathematics. He serves as the Third Year Tutor for Computing and oversees careers liaison activities. His academic journey includes a physics and computer science background, industry experience in IT, and advanced degrees (MSc, PhD in neural networks). He has held post-doctoral roles at the EC Joint Research Centre and Keele’s MacKay Institute. Dr. Day’s research focuses on computational modeling of human perception (vision/audition), data mining of large datasets (astrophysics, built environment), and intelligent decision support for healthcare professionals. Notable projects include EPSRC-funded work on X-ray signature analysis for chemical element identification. His teaching responsibilities include modules like Natural Computation and Computational Intelligence II . His publications span neural network applications in structural health monitoring, forensic entomology, and medical imaging enhancement. He actively collaborates on interdisciplinary projects involving clinicians, engineers, and data scientists. Lab/Team Affiliations: His work intersects with the MacKay Institute for Communication & Neuroscience and collaborates with NHS clinicians on decision support systems. His research also engages with civil engineering structural monitoring initiatives.

Genādijs ŠahmenkoView profile

Associate Professor

• Civil Engineering
• Materials Science
• High-Performance Concretes
• +4 more

Genādijs Šahmenko is an Associate Professor and Leading Researcher at Riga Technical University (RTU), affiliated with the Faculty of Civil and Mechanical Engineering and the Institute of Sustainable Building Materials and Engineering Systems . He holds a Ph.D. in civil engineering (2005). His research focuses on high-performance concretes, lightweight eco-materials, durability assessment, and non-destructive testing of construction materials. He teaches courses on concrete science and building materials. He has supervised numerous bachelor's, master's, and doctoral theses, with one successfully defended. Over 60 of his articles are indexed in Scopus and Web of Science (H-index 16). He co-authored 10 patents and contributed to over 10 scientific projects. He serves as an expert for the Latvian Council of Science and participates in the Latvian Concrete Association . He is a member of the High Performance Building Materials Professors Group. Genādijs leads research in material characterization and sustainable construction practices at RTU’s laboratories, including the 3D Concrete Printing Laboratory and Building Materials Laboratory. His work bridges academic research with industry applications in advanced structural materials.

• Lithium-Ion Systems
• Wind Energy Acoustics
• Non-Destructive Testing
• +3 more

M.Sc. Lukas Noll is a Researcher at the Institute of Energy and Process Systems Engineering, Technische Universität Braunschweig, within the Faculty of Mechanical Engineering. His work focuses on sustainable energy systems, electrochemical analysis, and acoustic diagnostics in renewable energy applications. Education: M.Sc. Sustainable Energy Engineering (2019–2021), TU Braunschweig B.Eng. Renewable Energy (2015–2019), Cologne University of Applied Sciences Research Interests: Non-destructive testing via acoustic diagnosis, lithium-ion battery systems, and optimizing wind turbine noise measurement parameters. His master’s thesis explored localized electrochemical impedance spectroscopy for lithium-ion systems, while his bachelor’s work addressed wind turbine noise emission variability. Experience: GE Renewable Energy Intern (2019): Onshore wind turbine testing & validation WindTest Grevenbroich Working Student (2017–2019): Acoustic analysis for wind energy German Aerospace Center Intern (2017): Solar research at the Institute of Solar Research Labs/Teams: Active in the Institute of Energy and Process Systems Engineering, contributing to interdisciplinary projects in energy systems and sustainability.

• Material Science
• Metrology Systems
• Manufacturing Engineering
• +3 more

Bekim Gashi is an Assistant Professor at the CEES School of Engineering, specializing in measurement methods, metrology systems, and manufacturing engineering with a focus on sustainability. His research emphasizes advancing instrumentation for engineering systems, analyzing measurement systems' performance, and developing uncertainty budgets. He holds a PhD in Precision Machine Tools from Cranfield University (2009). Education: Doctorate in Precision Machine Tools (Cranfield University, 2005–2008). He serves as a Standard Committee Member at the British Standards Institute since 2017 and is an Associate Editor for the journal Measurement (2018–present). Research interests include polymer networks (epoxy, rubber), forensic materials, thermal analysis, and precision instrumentation. His work spans forensic applications like DNA-trapping coatings and high-temperature composite studies. Over 15 years, he has published on topics ranging from acoustic emission in composites to ISO standardization. His articles highlight trends in epoxy material science, forensic engineering, and metrology system optimization. Awards include an h-index of 64 and 4, citations. He advises PhD students and collaborates internationally on dimensional product specifications.

Isaac O. AfaraView profile

Associate Professor

• Applied spectroscopy
• Computational biophotonics
• Machine learning in biospectroscopy
• +2 more

Isaac O. Afara is an Associate Professor at the Department of Technical Physics , Faculty of Science, Forestry and Technology , University of Eastern Finland . He leads the Biomedical Spectroscopy Lab (BSL) and the Biophysics of Bone and Cartilage (BBC) research group, focusing on translational spectroscopy and computational biophotonics for tissue diagnostics. Multi-disciplinary team of physicists and engineers Established 2018 (BSL), 1998 (BBC) His research bridges applied spectroscopy , machine learning , and biomechanics to develop optical methods for non-destructive assessment of biological tissues. Key areas include: Visible/NIR/Raman spectroscopy for cartilage/meniscus diagnostics Computational modeling of tissue optical properties Development of AI-driven preprocessing algorithms Characterization of viscoelastic properties in connective tissues Recent work demonstrates machine learning-enhanced spectroscopy for real-time cartilage assessment during arthroscopy, with applications in osteoarthritis detection, tissue engineering, and joint biomechanics. His 15 most recent articles (2025-2017) focus on: Cartilage/meniscus biomechanical properties Spectral differentiation of tissue pathologies Photon path length modeling Multi-sensor data fusion techniques Optical diagnostics for fibrosis and osteoarthritis Development of open-source preprocessing tools He collaborates with international institutions on computational biophotonics and has contributed to open-source Python modules for spectroscopic data analysis.

Mojtaba GhodsiView profile

Senior Lecturer

• Smart Materials and Structures
• Actuators and Sensors
• Energy Harvesting
• +5 more

Dr Mojtaba Ghodsi is a Senior Lecturer in Instrumentation and Measurement Systems at the School of Electrical and Mechanical Engineering, University of Portsmouth. He holds a PhD in Precision Engineering from the University of Tokyo, supported by a Japanese Monbusho Scholarship, and a JSPS Post-doctoral Fellowship. His research focuses on smart materials, actuators, sensors, energy harvesting, and mechatronics systems, with applications in biomedical engineering, structural health monitoring, and industrial automation. Education: PhD in Precision Engineering (University of Tokyo), supported by Japanese Monbusho Scholarship; JSPS Post-doctoral Fellowship (Tokyo University). Research Interests: Development of advanced materials and systems for energy harvesting, vibration control, and biomedical devices. His work includes smart insoles for gait analysis, IoT-based health monitoring systems, and novel magnetostrictive actuators. Key areas include nonlinear beam dynamics, piezoelectric and magnetostrictive materials, and sensor technology. Grants & Projects: Principal Investigator of grants totaling over £150k, including self-sensing transducers for NDT and energy harvesting systems. Collaborated on projects like vibration-based flowline integrity identification and bone drilling experiments. His work spans academic-industrial partnerships with companies like Medco Energi. Labs/Teams: Affiliated with the Institute of Life Sciences and Healthcare, focusing on biomedical engineering applications. Active in developing mechatronics systems and smart materials for healthcare and industrial use.

Maria Antonietta BALDOView profile

Associate Professor

• Analytical Chemistry
• Environmental Analytical Chemistry
• Archaeometry
• +5 more

Maria Antonietta BALDO is an Associate Professor at the Department of Molecular Sciences and Nanosystems (DSMN) at Ca' Foscari University of Venice. She holds roles as Rector's Delegate for Sports Activities and President of the University Sports Committee. Her primary research focuses on Analytical Chemistry with specializations in Environmental Analytical Chemistry, Archaeometry, and Electrochemical Sensor Development. She is involved in the Research Institute for Green and Blue Growth, leading laboratory activities (RDRL) and supervising research facilities in the Epsilon building. Research Interests: Her work spans environmental monitoring (e.g., emerging contaminants in water), cultural heritage preservation (e.g., pigment analysis in artworks), and biomedical diagnostics. She develops electrochemical sensors for real-world applications in food, environmental, and biomedical matrices. Key techniques include voltammetry, microelectrode analysis, and ion-selective sensors. Grants & Collaborations: She leads projects like the 2023 EU-funded 'ProCleanLakes' (environmental lake protection) and a Ministry of Research initiative on biosensors for pyroptosis studies. Her team includes researchers like Angela Maria Stortini and Lorena Gobbo. Past funding includes PRIN grants (2014, 2008) for sensor development and food safety. Teaching: She instructs courses in Analytical Chemistry and Cultural Heritage Analysis for the Chemistry and Sustainable Technologies program. Recent courses include Instrumental Analytical Chemistry Laboratory and Analytical Chemistry for Cultural Heritage. Labs & Facilities: Oversees research laboratories 204-205-206 in the Epsilon building, focusing on electrochemical methods and sensor fabrication. Collaborates with the DSMN library council and contributes to the University Sports Committee.

Puyan MojabiView profile

Professor

• Applied Electromagnetics
• Antennas and Propagation
• Electromagnetic Inverse Problems
• +5 more

Puyan Mojabi is a Professor and a Canada Research Chair (Tier 2) in the Department of Electrical and Computer Engineering at the University of Manitoba within the Price Faculty of Engineering. His research integrates electromagnetic inverse problems with metasurface design for applications in wireless communication and non-destructive testing. Education BSc Electrical Engineering, University of Tehran (2002) MSc Electrical Engineering, Iran University of Science and Technology (2004) PhD Electrical Engineering, University of Manitoba (2010) His work focuses on two key themes: systematic metasurface design for next-generation wireless systems and metasurface-enhanced electromagnetic imaging for cost-effective non-destructive testing. Articles demonstrate expertise in deep learning integration , implicit solvers , and phaseless inversion techniques . Scientific Awards University of Manitoba Falconer Emerging Researcher Award University of Manitoba Excellence in Teaching Award (x2) University of Manitoba Graduate Students Association Teaching Award International Union of Radio Science (URSI) Young Scientist Award (x3) Mojabi actively seeks graduate students in applied electromagnetics and contributes to professional communities as an Early Career Representative of URSI and Chair of the IEEE Winnipeg Waves Chapter.

• Gun Technologies
• Weapons Engineering
• Intermediate Ballistics
• +7 more

Dr Aimee Helliker serves as a Senior Lecturer in Military Engineering at Cranfield University's Centre for Energetics Technology within Cranfield Defence and Security. She is an internationally recognized expert in weapon signature mitigation within intermediate ballistics and contributes significantly to defense education and research. Her educational background includes a BEng(Hons) in Mechanical Engineering and a PhD in Engineering. She initially joined Cranfield University in 2006 working on trials development, analysis and reporting for the FRES technology demonstration programme before transitioning to academia. Helliker's research focuses on intermediate ballistics and muzzle attachments including muzzle brakes, flash and noise suppressors. Her work extends to weapon integration and system design, barrel heat transfer, and the critical impact of reliability and maintainability on equipment availability. She actively teaches small arms engineering design and assessment to MOD and wider defense audiences. Her publication record demonstrates expertise across multiple defense technology domains including forensic ballistics, weapon systems engineering, and threat assessment. Her work bridges theoretical research with practical military applications. Helliker supervises MSc research students in defence-related disciplines, contributing to the next generation of defense engineers and scientists. Her teaching and research directly support military capability development and equipment assessment. She is affiliated with Cranfield Defence and Security's specialized centers including the Centre for Defence Engineering and works within the Gun Technologies and Weapons Engineering focus areas, contributing to Cranfield's reputation as a leading institution for defense education trusted by governments, armed forces, and security services worldwide.

• Artificial Intelligence
• Cybersecurity
• Internet of Things
• +4 more

Dr. Mabrouka Abuhmida is a Senior Lecturer in Computing and Mathematical Sciences at the University of South Wales. She holds dual leadership roles as Research and Innovation Group Leader and Course Leader for MSc/BSc AI programs. Her research focuses on Artificial Intelligence applications in Digital Healthcare Transformation, Cybersecurity, and Internet of Things (IoT), particularly in medical and infrastructure contexts. She leads initiatives spanning Computer Science, Data Science, and AI, emphasizing collaborations between academia and industry. Her research interests include Deep Learning, Natural Language Processing (NLP), and empowering women in STEM. Notable projects include developing Annie the chatbot, an empathy-focused NLP tool, and frameworks for IoMT security. She has pioneered work on AI-based intrusion detection in Industrial Control Systems (ICS) and cybersecurity dynamics in critical infrastructure. Publications highlight her cross-disciplinary work across AI ethics, structural health monitoring, and forensic data automation. Recognized for advancing women's participation in STEM, she actively bridges academic research with real-world tech adoption through student-business partnerships. Responsibilities include spearheading: IoT and Machine Learning initiatives Deep Learning in healthcare cybersecurity Natural Language Processing for case management Her lab focuses on AI-driven solutions for digital transformation challenges in healthcare and infrastructure sectors.

Ergun SimsekView profile

Assistant Professor

• Computational Photonics
• Wave Propagation and Scattering in Complex Media
• Nano-photonic and Optoelectronic Device Design
• +7 more

Dr. Ergun Simsek is an Assistant Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC) and serves as the Director of Graduate Data Science Programs. He is a member of the Computational Photonics Laboratory and leads the Computational Photonics for Multilayered Structures (CPMS) research group. Education: Ph.D., Electrical and Computer Engineering, Duke University (2006) M.S., Electrical and Computer Engineering, University of Massachusetts Dartmouth (2003) B.S., Electrical and Electronics Engineering, Bilkent University (2001) Research Focus: Dr. Simsek's expertise lies in computational photonics , with emphasis on: Wave propagation and scattering in complex, multilayered media Nano-photonic and optoelectronic device design Machine-learning-assisted electromagnetic inversion and inverse photonic design Photodetectors, plasmonic sensors, electro-optic modulators, and 2-D material devices He has published over 100 peer-reviewed journal and conference papers and is a Senior Member of both IEEE and Optica as well as a Licensed Professional Engineer. Scientific Recognition: Senior Member, IEEE Senior Member, Optica (formerly OSA) Licensed Professional Engineer (PE) Advising & Teaching: Dr. Simsek currently advises PhD students Ishraq Anjum and Raonaqul Islam , and has mentored undergraduate researchers. He teaches graduate and undergraduate courses including Machine Learning and Photonics , Electromagnetic Theory , Electromagnetic Waves and Transmission , and Introduction to Data Science . Laboratory & Facilities: He directs research within UMBC’s Computational Photonics Laboratory and the CPMS group , utilizing facilities in the TRC Building (Technology Research Center) and the ITE Building (Information Technology and Engineering).

Ilarion MihăilăView profile

Researcher

• Plasma Physics
• Laser Ablation
• Optical Diagnostics
• +4 more

Ilarion Mihăilă is a Scientific Researcher III at the Department of Exact Sciences and Natural Sciences, CERNESIM Center, Alexandru Ioan Cuza University of Iasi. He specializes in plasma physics, with expertise in plasma diagnostics, laser ablation, and thin film deposition. His work spans environmental, biomedical, and materials science applications. PhD in Physics (Plasma Physics), Faculty of Science and Engineering, Saga University, Japan Master’s and Bachelor’s in Physics (Plasma Physics), Faculty of Physics, Alexandru Ioan Cuza University of Iasi Research interests: Production and diagnosis of DC, AC, and RF plasmas (low pressure/atmospheric pressure), laser ablation for thin film deposition, mass spectrometry, and applications in pollutant destruction, biomedical treatments, and astrophysical carbon dust analogues. His studies explore plasma-seed interactions, flexible electronics substrates, and plasma-activated media in cancer therapy. Prominent article trends: Recent works focus on non-thermal plasma applications in agriculture (quinoa seed germination under saline stress), biomedical innovations (plasma-assisted chemotherapy), and materials science (surface relief gratings for flexible electronics). His plasma jet diagnostics and computational modeling address industrial and environmental challenges, while earlier studies emphasize magnetron sputtering, laser ablation, and fundamental plasma physics.

Livia LantiniView profile

Senior Lecturer

• Civil Engineering
• Geosciences
• Non-Destructive Testing (NDT)
• +3 more

Dr. Livia Lantini is a Senior Lecturer in Civil Engineering at the School of Computing and Engineering, University of West London. She holds a BSc (Hons) in Civil Engineering and an MSc in Infrastructure and Transportation Engineering from Rome Tre University, Italy, and a PhD in Civil Engineering from the University of West London. Her research focuses on non-destructive testing (NDT) methods, particularly Ground Penetrating Radar (GPR), for civil engineering infrastructure assessment and tree health monitoring. She has been recognized with the 'Best Paper' award at the 2020 IEEE International Conference on Telecommunications and Signal Processing. Education: BSc (Hons) in Civil Engineering, Rome Tre University, Italy MSc in Infrastructure and Transportation Engineering, Rome Tre University, Italy PhD in Civil Engineering, University of West London, UK Research Interests: Lantini’s work emphasizes innovative applications of GPR and other NDT techniques to evaluate infrastructure integrity and tree health. Her research includes GPR-based tree root mapping, decay detection in tree trunks, and the use of radar for bridge monitoring. She explores integration of GPR with technologies like LiDAR and deep learning for enhanced accuracy and cost-effectiveness. Her studies contribute to sustainable urban planning and infrastructure resilience. Grants & Collaborations: She actively collaborates on projects involving tree-root interactions with infrastructure, bridge health monitoring, and geostatistical analysis of urban tree systems. Her work bridges civil engineering and environmental science to address challenges in urban ecosystems and infrastructure longevity. Labs/Teams: Coordinates the Early Career Researcher (ECR) Network at her university, fostering interdisciplinary research collaborations. Engages in international forums, including presentations at the House of Lords and EGU General Assemblies, promoting applied NDT innovations.

• Polymer Science
• Composite Materials
• Material Science
• +3 more

Jorge Vergel Berrio serves as a Researcher at the Institute of Polymers and Composites (M-11) at Hamburg University of Technology (TUHH). His affiliation is with the Department of Plastics and Composite Materials. He is based at Denickestraße 15 (K), Room 3564 in Hamburg, reachable via phone: +49 40 42878 2621. His research interests focus on advanced materials science, specifically in polymers and composite systems. This includes areas such as mechanical testing, thermal analysis, rheology, and material characterization techniques. His work contributes to the development and analysis of composite materials for industrial applications. No academic awards or publications are explicitly listed in the provided information. His professional activities include laboratory support in mechanical testing, non-destructive testing, and material processing at the institute's service facilities.