Aldo Canova is a Full Professor at Politecnico di Torino 's Department of Energy , with significant roles in international collaboration as Project Manager for the Azerbaijan-ADA University initiative and Deputy Coordinator of the College of Electrical and Energy Engineering. His work focuses on electromagnetic analysis, additive manufacturing, and energy systems. Scientific Advisor for WABTEC partnership Active in energy communities and decarbonization Research Interests: Specializes in electromagnetic compatibility, low-frequency field measurements, and magnetic shielding systems. Leads projects on non-destructive testing of ferromagnetic materials and optimization of electromechanical components. Recent Publications show expertise in wireless power transfer safety (2024), additive manufacturing (2023-2025), and substation field mitigation (2025). Keywords span Energy Communities , Magnetic Shielding , and Wireless Charging . Scientific Engagements: Member of Serbian Nikola Tesla Institute's Advisory Board (2022-2025) and Secretary of Italy's Non-Destructive Testing Association (2018-2024). Teaching: Supervises PhD students in Electrical Engineering since 2003 (31st cycle) and lectures on Applied Electromagnetism and Energy Conversion.
Dr. Mahyar Madadi is a Research Fellow at the Australian National University , affiliated with the Materials Physics department. His work focuses on computational analysis of porous and granular materials using advanced imaging techniques like X-ray tomography. Research Interests Dr. Madadi's research spans multiple disciplines including Materials Physics , Geophysics , and Computational Modeling . Key areas of investigation include pore-scale fluid dynamics, elastic properties of granular media, and microstructural analysis of carbonates and foams. Publications His work demonstrates strong expertise in digital rock physics and computational materials science , with significant contributions to understanding relationships between microstructure and macroscopic properties in diverse systems from geological formations to synthetic foams.
Jacek Szumbarski serves as an Associate Professor at the Institute of Aeronautics and Applied Mechanics within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. Holding the scientific degree dr hab. inż. , he maintains an active research profile while fulfilling significant educational responsibilities including chairing the Faculty Education Committee and serving as educational specialist in major institutional development projects. His research centers on theoretical and computational fluid mechanics with particular emphasis on viscous incompressible flows and numerical methods . Key investigation areas include flow instabilities in corrugated channels, development of robust numerical schemes for open boundary conditions, and applications to porous media systems. His methodological expertise spans vortex methods, immersed boundary techniques, and spectral element approaches for complex flow geometries. Analysis of his publication record (2004-2016) reveals consistent focus on computational fluid dynamics challenges, with increasing interdisciplinary applications in biomedical contexts (cardiovascular flows) and materials science (ceramic foams). His work demonstrates strong theoretical foundations coupled with practical numerical implementations for engineering problems involving complex boundaries and unsteady phenomena. No scientific awards or major fellowships were documented in the source material. Professor Szumbarski has played pivotal roles in educational development at WUT, notably as educational specialist for the POKL project "Program Rozwoju Dydaktycznego Wydziału Mechanicznego Energetyki i Lotnictwa" and as faculty representative in the "Podniesienie jakości zarządzania PW" project funded by the European Financial System. His committee leadership includes chairing the Education Committee of the MEiL Faculty Council. His collaborative research network includes prominent fluid dynamics researchers such as J.M. Floryan and A. Styczek, with joint publications spanning numerical method development, flow stability analysis, and industrial applications. Current work appears focused on advancing computational techniques for complex boundary flow problems and porous media transport phenomena.
Dr. Hayriye Serra Altinoluk is an Assistant Professor in the Department of Electrical and Electronics Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. She serves as the Head of the Renewable Energy Resources and Technologies Department, a position she has held since 2019. Her academic career spans over a decade with significant contributions to photovoltaic research and renewable energy technology development. Dr. Altinoluk earned her Bachelor's and Master's degrees from Mersin University's Faculty of Engineering, Department of Electrical and Electronics Engineering (2001-2007). She completed her Doctorate in Micro and Nanotechnology from Middle East Technical University's Institute of Science (2008-2016), focusing on advanced solar cell technologies. Her research primarily centers on photovoltaic systems, with special emphasis on light trapping techniques, surface texturing of solar cells, and energy storage integration. Dr. Altinoluk has pioneered work in micro and nano-hole texturing of silicon solar cells to improve light absorption and energy conversion efficiency. Her recent research has expanded into battery energy storage systems for solar applications and building-integrated photovoltaics, including designing solar-powered houses in the Muğla region. She has also explored biomedical applications of microfabrication techniques, demonstrating the interdisciplinary nature of her work. Analysis of her 15 most recent publications reveals a clear trajectory from fundamental solar cell texturing research toward practical energy system integration. While her earlier work focused on micro and nano-structuring techniques for silicon solar cells, her recent publications increasingly address system-level challenges including battery controllers, energy dispatch optimization, and building-integrated photovoltaic applications. This evolution demonstrates her transition from basic materials research to applied energy systems engineering. Best Paper Award (2017) Best Design Award (2014) Dr. Altinoluk has successfully supervised multiple graduate students, including MUSTAFA LATEEF HASAN-HASAN (2024), AHMED-ABUSNOUBAR (2022), and MOATASEM ABDO MABKHOT-AL (2020). She has secured significant research funding through various projects, including EU-funded initiatives (Cheetah 2014-2017, PhotoNVoltaics 2012-2016), TÜBİTAK projects (2007-2010), and university-supported research (2017-2020). Currently, she serves as Project Supervisor for the "Smart Bee Venom Extraction System" (2023-2025) and as a Project Reviewer for material analysis projects using machine learning (2024-2026). Dr. Altinoluk actively contributes to the academic community through her role on the Institute of Science Advisory Board at Muğla Sıtkı Koçman University and as a thesis defense jury member. She is also involved in the Sustainable Green Campus Commission's Energy and Climate Change Subcommittee, helping guide the university's sustainability initiatives.
Ville Kolehmainen is a Professor at the Department of Technical Physics within the Faculty of Science, Forestry and Technology at the University of Eastern Finland (UEF). His research focuses extensively on computational inverse problems and uncertainty quantification , with applications in advanced medical imaging techniques such as X-ray tomography , diffuse tomography , and MRI . He actively collaborates with clinical experts and engineering specialists to develop novel imaging modalities for 3D/4D imaging with sparse data Electrical impedance tomography (EIT) Multi-energy CT reconstruction Thermal tomography Ville Kolehmainen leads the Inverse Problems research group (active since 2010) and contributes to the Neuro-Innovation project (2021-2026). His work integrates Bayesian statistical inversion , parallel level sets , and nonlinear reconstruction methods to address challenges in Medical tomography Optical diffusion tomography Thermal conductivity estimation Atmospheric remote sensing Recent publications highlight his contributions to electrical impedance tomography for hemorrhagic stroke monitoring, dual-modality imaging of two-phase flows, and deep learning post-process corrections in remote sensing. His methodological innovations include model error compensation , sparsity-promoting inversion , and anatomical prior integration in image reconstruction. Collaborations span University of Eastern Finland , University College London , and Harvard Medical School researchers.
Dr. Alan Brown serves as a Senior Lecturer in the School of Engineering at Ulster University, with appointments spanning both the Belfast campus (Room BC-05-125, 2-24 York Street, Belfast, BT15 1AP) and Jordanstown Campus (Shore Road, BT37 0QB Newtownabbey). His academic profile demonstrates strong interdisciplinary engagement across engineering disciplines with particular focus on sustainable technologies. Dr. Brown's research interests prominently feature photocatalysis for CO2 reduction, computational fluid dynamics applications in reactor design, and water treatment technologies. His work significantly contributes to UN Sustainable Development Goals through environmental engineering solutions. The research fingerprint reveals substantial expertise in carbon dioxide material science (100%), computational fluid dynamics engineering (83%), surface science (69%), and gas-phase engineering (55%). Analysis of his publication trends shows consistent research output since 1999, with increased productivity after 2007. His scholarly work demonstrates a clear trajectory from fundamental photocatalysis research toward applied environmental engineering solutions, particularly evident in the EPSRC SAFEWATER projects. Recent publications increasingly integrate educational research with engineering content, as seen in his 2018 work on fluid mechanics education. Dr. Brown has been actively involved in significant research projects, most notably serving as Co-Investigator across multiple work packages of the EPSRC SAFEWATER program (2017-2022), which encompassed water treatment technologies, microbiology, field trials, and water quality devices. His research has generated 27 total outputs with substantial citation impact. Professional engagement includes chairing the 2024 UK & Ireland Engineering Education Research Network Annual Symposium, demonstrating leadership in engineering education. His research activities connect strongly with practical applications in environmental sustainability and clean energy production through CO2 conversion technologies.
Livan Fratini is a Full Professor at the University of Palermo (UNIPA), specializing in advanced manufacturing engineering. His research focuses on friction stir welding (FSW), additive manufacturing, and sustainable metal recycling processes. Core Expertise: Friction Stir Welding, Hybrid Manufacturing, Finite Element Modeling Key Themes: Energy efficiency in manufacturing, life cycle assessment (LCA), and microstructural analysis of alloys Recent publications demonstrate strong emphasis on numerical modeling of hybrid additive manufacturing, optimization of FSW parameters for dissimilar joints, and sustainability-driven recycling of titanium/aluminum alloys. His work integrates experimental validation with computational simulations to address industrial challenges in aerospace, automotive, and biomedical sectors. Current trends include multi-step friction stir consolidation for recycled billets, magnetic field-assisted forming techniques, and decision support tools for green manufacturing selection. Process mechanics analysis and residual stress prediction remain central to his contributions.
Anas Alazzam is a Full Professor in the Department of Mechanical & Nuclear Engineering at Khalifa University. He serves as Head of the Microfluidics Lab and Theme Leader in the System on Chip Lab (SOCL), focusing on advanced microsystem technologies. PhD in Mechanical Engineering, Concordia University M.Sc. in Mechanical Engineering, Jordan University of Science and Technology His research spans microfluidics, nanofluids, dielectrophoresis, MEMS, graphene-based materials, and phase change materials . Key applications include biomedical devices, energy systems, and self-powered electronics through iontronic and triboelectric technologies. Recent publications emphasize advanced nanofluids for solar energy absorption , biodegradable phase change materials , and self-powered electronic systems . His work integrates computational modeling with experimental validation in thermal systems and particle dynamics. Professor Alazzam teaches courses in fluid mechanics, MEMS theory, and micro/nanotechnology applications. His labs welcome graduate students for research in microfluidics, nanofluids, and microsystem design.
Assistant Professor Kollár Attila is affiliated with the Department of Highway and Railway Engineering at the Faculty of Civil Engineering, Budapest University of Technology and Economics. His work spans transportation engineering and vascular medical research, with expertise in traffic flow analysis, infrastructure design, and rare vascular disease diagnostics. Teaches courses on Highway and Railway Design (BMEEOUVAI43) Conducts research on road/railway systems and rare vascular pathologies Contact: kollar.attila@emk.bme.hu Research interests include: Traffic flow modeling and optimization Transportation infrastructure design Medical imaging applications in vascular diseases Analysis of rare inflammatory vascular conditions Article trends show dual focus on transportation engineering and biomedical research, particularly in vascular pathology and interventional techniques. His work on traffic modeling (2014-2018) and medical case studies (2004-2016) demonstrates interdisciplinary expertise bridging civil engineering and clinical research.
Cristobal Bertoglio is a Professor at the Faculty of Medical Sciences and an Associate Professor at the Faculty of Science and Engineering of the University of Groningen, specializing in Vascular Medicine and Computational and Numerical Mathematics . Research Interests Biomedical Engineering Computational Mechanics Fluid Dynamics in Cardiovascular Systems Parameter Estimation for Medical Imaging Cardiac Elastodynamics Numerical Analysis Research Trends His recent work focuses on computational benchmarks in cardiac mechanics, fluid-structure interaction models, and parameter estimation from undersampled MRI data. Key areas include patient-specific modeling, denoising techniques, and numerical methods for cardiovascular applications. Collaborations & Contributions Active in international collaborations, Bertoglio contributes to SDGs related to health and innovation. His research output includes 40 publications, datasets in cardiac modeling, and methodological advancements in fluid dynamics and imaging.
Dr. Mathis O. Riehle is a Senior Lecturer in Molecular Biosciences at the University of Glasgow. His research focuses on the molecular mechanisms of cell-surface interactions using micro- and nanofabrication technologies. He is affiliated with the Centre for Cell Engineering and Glasgow Science Centre. Research interests include Biomedical engineering of implantable devices Acoustic manipulation of cells and particles Nanotopography-guided tissue regeneration Biomaterials for nerve and bone repair Microfluidic systems for cell sorting Stem cell microenvironment engineering The 15 most recent publications highlight advancements in acoustic cell sorting, nerve repair scaffolds, and nanoscale mechanotransduction. Key trends involve using surface acoustic waves for particle separation, developing implants for CNS regeneration, and exploring topographical cues for stem cell behavior.
Dr. Jungeun (Jenny) Won serves as Assistant Professor of Research in the Department of Biomedical Engineering at the University at Buffalo's School of Engineering and Applied Sciences, with an affiliated appointment in Ophthalmology at the Jacobs School of Medicine & Biomedical Sciences. She directs the Translational Biophotonics Laboratory, developing optical imaging technologies for clinical translation in otolaryngology and ophthalmology. Postdoctoral associate, Massachusetts Institute of Technology (2024) PhD, Bioengineering, University of Illinois Urbana-Champaign (2021) MS, Bioengineering, University of Illinois Urbana-Champaign (2017) BS, Biomedical Engineering and Minor in Optics, University of Rochester (2015) Her research pioneers translational optical imaging with core expertise in optical coherence tomography (OCT) , biomedical instrumentation , and AI-driven image analysis . She develops clinically feasible devices for middle ear infection diagnosis (otitis media), retinal disease monitoring (AMD, diabetic retinopathy), and bacterial biofilm characterization , integrating computational methods to advance disease diagnostics and treatment monitoring. Recent publications (2021-2025) reveal dominant trends in handheld OCT device development for point-of-care use, machine learning integration for automated image classification, and multimodal approaches combining OCT with Raman spectroscopy. Her work bridges engineering innovation with clinical applications across ophthalmology and otolaryngology, emphasizing real-world translation. National Alliance for Eye and Vision Research Emerging Vision Scientist Program (2024) Bob Bilger Graduate Award for Hearing Research (2020) McGinnis Medical Innovation Graduate Fellowship (2020) Baxter Young Investigator Award (2019) Biannual Symposium Travel Scholarship Award (2019) Nadine Barrie Smith Memorial Fellowship (2017) Walt and Bobbi Makous Prize for Vision Research (2015) Xerox Engineering Research Fellowship (2014) As Principal Investigator, Dr. Won secures translational research funding including: UB CTSI Translational Pilot Studies Program ($49,700, 2025) for pediatric otitis media imaging UB Research Programs ($10,460 + $9,750, 2024-2025) for AI-assisted retinal imaging and handheld probe prototyping Her laboratory mentors students in biomedical imaging, device development, and computational analysis while advancing clinical partnerships for technology validation. The Translational Biophotonics Laboratory unites engineers, clinicians, and scientists to develop light-based imaging solutions addressing unmet clinical needs in ear and eye diseases, with active projects spanning middle ear biofilm characterization, retinal blood flow quantification, and AI-enhanced diagnostic platforms.
Justin Mikell, PhD is an Associate Professor of Radiation Oncology and Associate Professor of Radiology at Washington University School of Medicine, where he is part of the Division of Medical Physics within the Siteman Cancer Center. He joined Washington University in 2022 after previously holding a faculty position at the University of Michigan, where he was part of the brachytherapy and machine QA teams. Dr. Mikell earned his dual BS degrees in Engineering and Computer Science from the University of Illinois, Urbana-Champaign (2002), followed by a PhD in Medical Physics from the University of Texas at Houston Graduate School of Biomedical Sciences and UT MD Anderson Cancer Center (2015). He completed his residency in Medical Physics at the University of Michigan, Ann Arbor (2018). His research focuses on combination radiotherapy, quantitative emission imaging, and absorbed dose calculations for both microspheres and unsealed sources, particularly Y-90 microspheres. His work has significantly advanced the field of radioembolization for liver cancer treatment, with a special emphasis on precise dosimetry modeling and treatment planning. Dr. Mikell's expertise spans medical physics, radiation oncology, and nuclear medicine, allowing him to bridge these disciplines for improved patient outcomes. Dr. Mikell's publication record demonstrates consistent contributions to the field, with research spanning from technical aspects of dosimetry calculation to clinical applications in liver cancer treatment. His recent work shows increasing focus on integrating advanced imaging techniques like PET/CT with precise dose calculation methods, and exploring combination therapies involving radioembolization and stereotactic body radiation therapy. With approximately 1,200 citations across his 47 research outputs, Dr. Mikell has established himself as a significant contributor to the field of radiation oncology physics, particularly in the area of radioembolization dosimetry and treatment planning. He continues to collaborate extensively with nuclear medicine colleagues and radiation oncologists, advancing research in quantitative imaging for radiation therapy and developing more precise methods for calculating and delivering therapeutic radiation doses to cancer patients.
Xiumin Diao is an Associate Professor at Purdue University's School of Engineering Technology, specializing in robotics and mechatronic systems for healthcare and manufacturing applications. His work emphasizes human-robot interaction, control algorithms, and energy-efficient UAV designs. Education: Ph.D. in Mechanical Engineering (2007, New Mexico State University) M.S. in Measurement Technology and Automatic Device (2003, Beihang University) B.S. in Mechanical Design and Manufacturing (2000, Yantai University) Research focuses on cable-driven parallel robots , reinforcement learning , and intention prediction using neural networks. Recent publications explore stiffness analysis, UAV arm rotation efficiency, and hybrid control strategies. Key trends in his work include: Advancing adaptive control for robots with unknown dynamics Optimizing energy efficiency in aerial robotics Applying deep learning to human motion understanding His lab develops hardware-in-the-loop microgravity simulators and rehabilitation devices, with applications in disaster exploration and satellite docking.
Fiona Malone is a Lecturer in the Department of Mechanical & Industrial Engineering at the University of Galway, Ireland, where she also serves as a Principal Investigator for both the Engineering Research Group (ERG) and the Medical and Engineering Technologies Gateway (MET). Her research bridges mechanical engineering principles with medical applications, focusing on cardiovascular mechanics and stroke-related phenomena. Dr. Malone's research interests center on the intersection of biomedical engineering and cardiovascular mechanics, with particular emphasis on embolism, atrial fibrillation, and aortic arch hemodynamics. She employs patient-specific modeling approaches to investigate blood flow patterns and emboli trajectory paths under various physiological conditions. Her work combines experimental in vitro studies with computational methods to better understand stroke mechanisms and develop potential interventions. Analysis of Dr. Malone's publications reveals a consistent focus on cardiovascular biomechanics with increasing integration of machine learning techniques in recent years. Her earlier work concentrated on mechanical characterization of embolus analogues and hemodynamics in patient-specific models, while her more recent publications incorporate computational methods like gradient boosting algorithms to address class imbalance problems in medical data analysis. Dr. Malone has achieved significant recognition in her field with an h-index of 78 according to Scopus metrics. Her publications have garnered citations across multiple disciplines, demonstrating the interdisciplinary impact of her research. As a Principal Investigator, Dr. Malone leads research initiatives within the Engineering Research Group and the Medical and Engineering Technologies Gateway. Her collaborative network spans multiple institutions and disciplines, with frequent co-authorship with researchers specializing in both engineering and medical fields. Her research has practical implications for understanding stroke mechanisms and developing improved diagnostic and therapeutic approaches.
