Find Academic Supervisors

• Medical Image Analysis
• Deep Learning Algorithms
• Cardiorespiratory Medicine
• +3 more

Dr. Chen Chen is a Lecturer in Computer Science at the University of Sheffield, Honorary Research Associate at Imperial College London (working with Prof. Daniel Rueckert and Dr. Wenjia Bai), and Visiting Research Fellow at the University of Oxford. Her research focuses on developing deep learning algorithms for medical image analysis, with expertise in biomedical polymers, biomaterials, and tissue engineering. She holds a PhD in Computing from Imperial College London (2022), MSc in Advanced Computing (2016), and BEng in IoT Engineering (2015). Research interests span medical imaging AI, cardiorespiratory medicine, and biocompatible materials. Her work includes developing elastomeric scaffolds for cardiac tissue engineering and improving biomaterial design for bone regeneration. Recent publications explore polymer fabrication techniques, material characterization, and applications in healthcare. Education: PhD in Computing, Imperial College London (2022) MSc in Advanced Computing, Imperial College London (2016) BEng in IoT Engineering, Harbin Institute of Technology (2015) Awards: China National Scholarship (2013, 2014) Publications reflect interdisciplinary work in biomedical materials and AI-driven medical imaging. She has collaborated on projects involving polymer-electrospun scaffolds, calcium phosphate biomaterials, and AI applications in healthcare. Current roles include teaching computer vision at Sheffield and part-time research at HeartFlow. She contributes to labs focused on computational imaging and biomaterials development.

• Artificial Intelligence
• Semantic Web
• Health Informatics
• +5 more

Prof. Dr. Duygu Çelik Ertuğrul is a Professor in the Department of Computer Engineering at Eastern Mediterranean University (North Cyprus). She holds academic leadership roles including former Associate Professorship (2017–2022) and Professorship since 2022. Her professional affiliations include: Member of IEEE and editorial boards for journals like Expert Systems (SCI-E) Organizer of international workshops (e.g., ESAS 2018, WEDA 2016) Principal investigator for funded projects in e-Health and semantic technologies Education: PhD in Computer Engineering, Eastern Mediterranean University (2010) MS and BS in Computer Engineering, Eastern Mediterranean University (2005 and 2003) BS in Healthcare Services, Kocaeli University (1998) Research Interests: Her work focuses on semantic web services, AI-driven healthcare systems (e-Health/m-Health), ontologies, and decision support systems . Recent projects include: Smart health tracking systems (e.g., TrackARTI for pediatric respiratory infections) AI-based job recommendation systems for marginalized communities Medical diagnostic tools using machine learning (diabetic retinopathy, breast cancer) Article Trends: Her publications emphasize healthcare innovation (55% of recent articles), semantic technologies (30%), and decision support systems (15%). Notable themes include AI ethics in healthcare, cross-cultural usability of medical apps, and ontology-driven interoperability. Awards & Recognition: EMU Research Incentive Award (2020–2022) Featured as Guest Editor for Expert Systems Journal (2018) Advising & Grants: Supervised 16+ master’s and 2 PhD students (ongoing) Secured grants for projects like "Semantic Web Services Composition" (2021) and "m-Health Solutions for Autism" (2019) Labs & Collaborations: Leads the Healthcare Knowledgebase Systems Lab and collaborates with EU-funded initiatives for digital health solutions in Cyprus and MENA regions.

Murat KOYUNCUView profile

Associate Professor

• Macroeconomics
• Development Economics
• Growth Theory
• +5 more

Murat KOYUNCU is an Associate Professor at Bogazici University, specializing in Macroeconomics and Development Economics. He holds a Ph.D. from the University of Washington. His research focuses on growth theory, income distribution, and the political economy of policy interventions. His work frequently addresses contemporary issues in Turkey, including electoral behavior, refugee education, and public procurement reforms. He has also contributed to global development studies, analyzing conflict impacts and social welfare programs in India and other regions. Education: Ph.D. in Economics, University of Washington Research Interests: Growth Theory, Macroeconomic Policy, Development Economics, Political Polarization, Refugee Studies, and the socio-economic effects of violent conflict. His recent studies explore computational methods for ideological analysis and the economic consequences of authoritarian governance. Key Themes in Publications: His research spans computational social science, public policy evaluation, and institutional economics. Recent work highlights the intersection of political dynamics and economic outcomes in Turkey, with contributions to understanding refugee education programs and corruption in public procurement systems. Advising & Grants: No specific advisees or grant details provided in the text. Labs/Teams: No affiliated research groups explicitly listed.

• Materials Science
• Ceramic and Glass Materials
• Design History
• +5 more

Prof. Murat BENGİSU is a Professor of Industrial Design at the Faculty of Fine Arts and Design, Izmir University of Economics (IUE). He holds academic titles including Full Professor since 2010 and has served as Team Leader and Consultant at IUE. His career began in 1999 at Eastern Mediterranean University, with visiting roles at the University of Missouri-Rolla. He earned his PhD in Materials Science from New Mexico Tech (1992) and has a Mechanical Engineering undergraduate degree from Dokuz Eylül University (1984). Research interests include materials science (ceramics, borate glasses), biomimetic design, assistive technologies for disabled individuals, and design history (e.g., Beykoz glassware). He authored four books and contributed to over 30 journal articles. Notable works include studies on bacterial cellulose composites, radioactive waste immobilization, and accessible technologies for visually impaired individuals. Teaching focuses on materials for design, human factors, and innovation research. Administrative roles include Acting Dean (2012) and Head of Ethics Committee (2020–present). He served on design award juries (A' Design Awards, Azerbaijan Design Award) and led projects funded by TÜBİTAK. Thesis advisement includes topics like biobased composites and radioactive waste vitrification. Publications span materials science, design history, and sustainability. His work bridges material innovation with social responsibility, emphasizing interdisciplinary collaboration and sustainable design practices.

• Mechanical Engineering
• Automotive Engineering
• Computer-Aided Design (CAD)
• +7 more

Francesco GHERARDINI is an Associate Professor at the Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia. His research focuses on CAD-based design methods, sustainable manufacturing, additive manufacturing, and cultural heritage preservation. He teaches courses in integrated design, CAD laboratory, and vehicle engineering at both undergraduate and graduate levels. Research Interests: His work spans mechanical design, automotive systems optimization, composite materials, tolerance analysis, and digital heritage applications. He has led projects on 3D reconstruction of historical artifacts, AR-enhanced cultural tourism, and carbon footprint reduction in aerospace/automotive components. Recent Contributions: Recent work includes scalable living lab frameworks for autonomous vehicles (MASA project), design archetypes for mechanical transmissions, and co-design methodologies for assistive devices using AM. He actively collaborates with industries and museums, integrating CAD/CAE tools for real-world applications. Labs/Teams: Part of the LaPIS Lab (Laboratory for Product Innovation and Sustainable Design), focusing on interdisciplinary engineering solutions. Engaged in EU-funded initiatives and international conferences like Florence Heri-Tech and ADM.

Martin IlcikView profile

Researcher

• Procedural Modeling
• Shape Grammars
• Layout Generation
• +6 more

Martin Ilcik is a Researcher at the Department of Computer Graphics within the Faculty of Informatics at Vienna University of Technology (TU Wien). His work focuses on procedural modeling, shape grammars, and related computer graphics techniques. He serves as a Scientist in the Rendering and Modeling workgroup and has been actively involved in research projects since 2008, including GameWorld, PAMINA, Wohnen 4.0, AgroEco, and currently Room Imageer and GreenFDT projects. Ilcik's research interests prominently feature procedural modeling techniques, with specializations in shape grammars, layout generation, semantic modeling, 3D reconstruction, and music generation. His work bridges computer science with practical applications in architecture, urban planning, and creative arts. He has made significant contributions to layer-based procedural design of building facades and collaborative modeling systems. His publication record spans from 2007 to 2024, with a strong focus on procedural modeling techniques. The research trajectory shows evolution from flow visualization to sophisticated procedural modeling systems, with increasing emphasis on shape grammars, collaborative design, and applications in architecture and music generation. His work demonstrates consistent innovation in making procedural modeling more intuitive and accessible. VC CultTech Hackathon winner category 'Vienna State Opera challenge' (2017) INiTS Award 2016 Ilcik has supervised student research, including Lukas Eibensteiner's 2021 Diploma Thesis on polyphonic music composition with grammars. He has been instrumental in organizing the Central European Seminar on Computer Graphics (CESCG) since 2008, which has grown into an important annual event for undergraduate students in computer graphics, vision, and visual computing across Central Europe. His community work includes creating educational resources and organizing EXPO events and Academy Videos through CESCG. He leads research in the Rendering and Modeling workgroup at TU Wien's Computer Graphics department, focusing on developing innovative procedural modeling techniques with applications in architecture, urban planning, and creative domains. His current projects (Room Imageer and GreenFDT) continue his longstanding interest in practical applications of procedural modeling techniques.

• Algebraic Geometry
• Applied Algebraic Geometry
• Computational Algebraic Geometry
• +2 more

Peter Stiller is a Professor in the Department of Mathematics and Computer Science at Texas A&M University, where he also serves as Assistant Director of the Institute for Scientific Computation. He holds dual S.B. degrees in Mathematics and Economics from MIT (1973), an M.A. (1974) and Ph.D. (1977) in Mathematics from Princeton University. Stiller's research spans algebraic geometry, applied computational geometry, robotics, and computer vision. His current projects investigate geometric methods for automated manufacturing, printed electronics fabrication, and hybrid systems control. Recent publications focus on optimizing inkjet-printed sensors, distributed navigation algorithms, and formal composition of control systems. Stiller maintains interdisciplinary collaborations bridging mathematics with engineering applications. He teaches courses in algebraic geometry and computational methods, advising graduate students in mathematical applications. Stiller holds joint appointments in Mathematics (Blocker 623D), Computer Science (HRB), and ISC (Blocker), with multiple contact points for collaboration.

Sheryl A. SorbyView profile

Professor

• Engineering Education
• Spatial Visualization
• Composite Materials
• +2 more

Sheryl A. Sorby is Professor Emerita of Mechanical and Aerospace Engineering at Michigan Technological University, with current appointments in engineering education. She holds B.S. in Civil Engineering (1983), M.S. in Engineering Mechanics (1986), and Ph.D. in Mechanical Engineering-Engineering Mechanics (1991) from Michigan Tech. Her research focuses on engineering education innovation, spatial visualization development, and advanced composite materials. Key contributions include: Pioneering spatial visualization training for engineering students Developing assessment tools for engineering self-efficacy Designing affordable prosthetic devices (Jaipur Foot) Implementing curriculum reforms to improve STEM retention Studying cognitive factors in engineering problem-solving Professor Sorby has led over $14 million in educational grants and served as program director at NSF. Her spatial skills research earned the Betty Vetter Award and ASEE Fellowship. Current work continues to focus on spatial cognition interventions in K-12 and undergraduate education.

• Reproductive Biology
• Veterinary Medicine
• Animal Reproduction Technologies (ARTs)
• +4 more

Pawel M. Bartlewski is an Associate Professor in the Department of Biomedical Sciences at the Ontario Veterinary College (OVC), University of Guelph. His research focuses on hormonal control of ovarian antral follicle development in ruminants, ultrasonographic imaging of reproductive organs, and advancements in assisted reproductive technologies (ARTs). He also explores nutritional influences on reproductive processes and the application of nanotechnology in gamete cryopreservation. His work bridges veterinary science with human health, developing farm animal models to improve hormonal treatments for women. Current students under his supervision include Madeline Abass, Laila Abdelrazak, Winnie Chen, and others pursuing Master of Biomedical Sciences (MBS) degrees. His lab (OVC 1677/1671B) supports collaborative projects involving endocrinology, imaging, and reproductive biotechnology. Publications highlight innovations in estrus synchronization protocols, mammary gland imaging, and nanowater-based semen preservation. Research trends emphasize integrating imaging technologies with hormonal studies to enhance livestock and companion animal reproduction. No scientific awards are explicitly listed, but his extensive peer-reviewed contributions reflect significant academic recognition. Grant activities are implied through collaborative projects, though specific grants are not detailed. His mentoring extends to summer research students and clinical trials, fostering next-generation veterinary scientists. Lab activities focus on ovarian dynamics, ultrasound applications, and translational research between animal and human health. Teams include international collaborators, evident in co-authorships across North America and South America.

Krzysztof KuczeraView profile

Professor

• Physical Chemistry
• Theoretical Chemistry
• Molecular Dynamics Simulations
• +4 more

Professor Krzysztof Kuczera is a faculty member in the Department of Chemistry at the University of Kansas, specializing in physical and theoretical chemistry. His research focuses on molecular dynamics simulations, quantum chemistry, and statistical mechanics applied to biological molecules and solutions. He holds a Ph.D. from the Institute of Physics, Polish Academy of Sciences (1985) and completed postdoctoral training at Harvard University (1986-1991). His research group employs computational methods to study complex systems such as protein dynamics (e.g., calmodulin oxidation, phospholamban regulation), enzyme mechanisms (S-Adenosylhomocysteine hydrolase), and peptide-membrane interactions. Recent work includes modeling water-membrane transfer in peptides and CO₂-expanded organic liquids. Collaborations with experimental groups bridge theoretical insights with practical applications in medicine, environmental science, and materials design. Key research tools include molecular dynamics simulations, quantum chemistry calculations, and normal mode analysis. His work emphasizes linking microscopic simulation data to macroscopic properties, aiding in drug design and material engineering. The Kuczera Research Group maintains an active lab focused on computational biophysics and molecular modeling.

Fateme FayyazbakhshView profile

Academic

• Biomaterials Design
• Tissue Engineering
• Bioprinting
• +4 more

Dr. Fateme Fayyazbakhsh is an Assistant Research Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology. Her research focuses on biomaterials design, bioprinting, wound healing, and drug delivery systems. She holds a PhD in Biomedical Engineering from Amirkabir University of Technology (2017) and completed a postdoctoral fellowship in Mechanical and Aerospace Engineering at Missouri S&T (2022). Education: PhD in Biomedical Engineering, Amirkabir University of Technology (2017) MSc in Tissue Engineering, Amirkabir University of Technology (2012) BSc in Biomaterials, Amirkabir University of Technology (2009) Postdoctoral Research Fellow, Missouri S&T (2022) Research interests include developing smart biomaterials for tissue engineering, bioprinting solutions for skin substitutes, and advancing wound healing technologies. She collaborates across bioengineering, AI, and clinical sciences to address healthcare challenges like personalized medicine and burn care. Her recent work emphasizes AI-driven wound assessment (e.g., YOLOv8 models) and 3D-printed hydrogel dressings. These innovations aim to improve clinical outcomes in burn management and bone regeneration. Dr. Fayyazbakhsh has established interdisciplinary collaborations and contributed to preclinical studies on biomaterials. Her expertise spans biomaterial characterization, animal surgery, and clinical product development. Labs/Teams: Active in the Center for Biomedical Research and collaborates with mechanical engineering and materials science groups.

Amanda BemerView profile

Professor

• Technical Communication
• Rhetoric and Composition
• Academic Writing Pedagogy
• +3 more

Dr. Amanda Bemer is a Professor and Department Chair in the Department of English, Philosophy, Spanish and Humanities at Southern Minnesota State University. Her academic focus lies in Technical Communication, Rhetoric, and Pedagogical Innovation. She has contributed significantly to interdisciplinary education through projects like creating collaborative online textbooks and exploring ecopreneurial strategies for sustainable academic programs. Her research spans pandemic program adaptation, writing center accessibility, and spatial rhetoric in academic spaces. Notable work includes analyzing post-disaster communication and redefining technical communication's disciplinary boundaries. While no scientific awards are explicitly noted, her publications reflect a commitment to bridging theory and practice in education. Bemer’s advising and grant activities are not detailed here, but her involvement in curriculum development and collaborative learning spaces underscores her dedication to academic innovation. No lab affiliations are mentioned, though her work often intersects with digital literacy and material culture studies.

• Internet of Things (IoT)
• Sensor Networks
• Automated Learning
• +6 more

Marimuthu Palaniswami is a Professor in the Department of Electrical and Electronic Engineering at the University of Melbourne, specializing in IoT, sensor networks, and computational intelligence. He leads large-scale research initiatives, including the ARC Research Network ISSNIP and the Centre of Excellence for Networked Decision Systems (CENDS). His work spans infrastructure, smart cities, healthcare, and environmental monitoring, with over 400 publications in top-tier journals and conferences. Education Ph.D., University of Newcastle, Australia Masters (Research), University of Melbourne Masters (Coursework), Indian Institute of Science Bachelor of Engineering (Honours), University of Madras Research Focus His research translates into deployable technologies for societal impact, including smart city projects (e.g., European Union's FP7 Smart Santander), healthcare diagnostics (e.g., CSIRO/Microsoft fetal monitoring tools), and environmental monitoring (Great Barrier Reef initiatives). He emphasizes interdisciplinary collaboration, leveraging IoT and AI for healthcare, transport, and governance. Recent Projects Developing Non-Invasive Diagnostics to Prevent Stillbirth (2019–2025) Hydrogen Storage Using Concrete Composites (2022–2025) Academic Centres of Cyber Security Excellence (2024–2026) Awards & Recognition Fellow of IEEE (2013–2015 Distinguished Lecturer) Knowledge Transfer Excellence Awards (2008, 2008, 2010) Recipient of multiple government and industry grants totaling millions in funding Professional Contributions Co-founder of the European IoT Forum, former co-director of CENDS, and advisor to EU and U.S. projects. Has organized over 10 IEEE conferences and served on NSF and EU panels. Labs & Teams Leads interdisciplinary teams in IoT, healthcare technology, and sensor networks, fostering collaborations with industry partners like Arup and Microsoft Research.

Eduardo De Souza NetoView profile

Professor

• Computational Mechanics
• Multi-scale Modelling
• Solid Mechanics
• +5 more

Professor Eduardo De Souza Neto is Chair of Civil Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. His office is located in the Engineering Central Building at Bay Campus. He is available for postgraduate supervision and maintains an active research profile in computational mechanics. Research Focus: Professor De Souza Neto specializes in multi-scale modeling of solids using computational homogenization methods. His work investigates complex material behaviors across physical scales, with applications including: Constitutive modeling of biological tissues (e.g., human arteries) Polycrystalline metal behavior prediction Heat conduction problems Microstructural optimization via topological derivatives Computational efficiency enhancements for multi-scale frameworks Current research explores sensitivity of macroscopic material properties to microstructural changes and fracture modeling in heterogeneous materials. Publication Trends: His recent articles (2016-2025) demonstrate strong focus on multi-scale computational frameworks, particularly: Development of virtual power methods for homogenization Advanced fracture and damage modeling techniques Computational efficiency in material failure analysis Applications in biomechanics, composites, and geomechanics Teaching & Supervision: He teaches undergraduate and postgraduate modules including Finite Elements for Civil Engineers (EG-3067/EG-M92), Construction Methods in Infrastructure Works (EG-M345), and Construction Methods in Building Works (EG-M347). He currently supervises PhD students in computational mechanics topics including boundary element methods, machine learning-aided material modeling, and computer vision-based microstructure reconstruction.

Xi ZouView profile

Lecturer

• Finite element methods
• Mesh generation
• Reduced order modelling
• +3 more

Dr. Xi Zou is a Lecturer in Aerospace Engineering at Swansea University since May 2023. He holds a PhD from the University of Pavia and Polytechnical University of Catalonia via the Erasmus Mundus Joint Doctorate fellowship. Previously, he worked as a postdoctoral researcher at the University of Nottingham and a Stress Engineer at Airbus China. His expertise includes finite element methods, mesh generation, reduced order modelling, and composite structures analysis. Education: BSc in Spacecraft Design (Beihang University), MSc in Mechanics (Beihang University), PhD in Engineering (Erasmus Mundus Joint Doctorate) His research focuses on advancing numerical methods for structural analysis, particularly in composite materials and airframe structures. Recent work includes developing NURBS-enhanced finite element meshes and efficient damage hotspot identification tools. He has published widely in journals like Computer-Aided Design and International Journal for Numerical Methods in Engineering. Dr. Zou has supervised MSc projects exploring expandable space modules using origami principles. He actively collaborates with industry and teaches modules such as Engineering Mathematics and Finite Element Analysis.