Find Academic Supervisors

Nevin Çiğdem GürsoyView profile

Professor

• Textile Engineering
• Materials Science
• Cotton Processing
• +6 more

Professor Nevin Çiğdem Gürsoy is a faculty member at the Department of Textile Engineering, Istanbul Technical University (ITU). Her research focuses on textile engineering advancements, including sustainable bleaching processes, conductive polymer integration in textiles, plasma-based material modification, and smart textile applications like biosensors and EMI shielding. She leads projects funded by institutions such as TTO and BAP, emphasizing innovation in textile technology and environmental sustainability. Academic Affiliation: Department of Textile Engineering, ITU Notable Contribution: Development of novel bleach activators for cotton and conductive textile materials Her work bridges fundamental chemistry and engineering principles with practical textile applications, addressing challenges in energy efficiency, antimicrobial treatments, and functional fabric design. Current projects include fetal heart rate monitoring via textile-based biosensors and improving composite materials for defense industry applications. Research Output: 22 publications spanning 2000–2022 Supervised 13 theses Grants include high-capacity digital printing machine development and fiber-reinforced composite material research for defense sectors. Her projects often involve interdisciplinary collaboration, leveraging plasma technology and organic synthesis for textile innovation.

• Environmental Law
• Legal Education
• Transnational Regulation
• +3 more

Zoe Nay is a Lecturer in the School of Law within the Faculty of Business & Law at Queensland University of Technology (QUT). Her academic work spans environmental law, legal education, and student engagement, reflecting QUT's commitment to interdisciplinary research with practical applications. She collaborates extensively with colleagues including Judith McNamara and Rachel Hews on projects addressing contemporary legal challenges. Dr. Nay's research interests focus on environmental governance frameworks, particularly transnational regulation of plastics and circular economy approaches to textile waste. She investigates how legal education can adapt to technological changes through design thinking methodologies and examines the impact of pandemic conditions on law student engagement and wellbeing. Her work bridges theoretical legal scholarship with practical educational applications. Her recent publications reveal a consistent focus on regulatory innovation, with particular attention to environmental challenges requiring cross-jurisdictional solutions. The articles demonstrate increasing integration of technological considerations into legal frameworks, especially regarding automated decision-making in environmental assessments. Her work connects legal theory with practical implementation challenges in Australian and international contexts. While specific scientific awards aren't documented in the available materials, her publications appear in respected journals including Transnational Environmental Law , Alternative Law Journal , and Globalization and Health , indicating recognition within her fields of expertise. Dr. Nay's research collaborations extend across multiple institutions, particularly with UNSW colleagues on legal education projects. Her work with The Cotton Research and Development Corporation demonstrates applied research addressing industry-specific regulatory challenges. These partnerships highlight her commitment to translating academic research into practical solutions for environmental and educational challenges. Her scholarship contributes to QUT's research strengths in environmental law and legal education innovation, particularly regarding the impacts of digital transformation and global crises on legal practice and pedagogy.

Lei SuView profile

Professor

• Sensors and Instrumentation
• Optical Devices and Systems
• Optoelectronics
• +8 more

Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .

Carter HainesView profile

Academic

• Nanotechnology
• Energy Harvesting
• Carbon Nanotube Yarns
• +4 more

Carter Haines is an Associate Research Professor at the Alan G. MacDiarmid NanoTech Institute, part of the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. He holds a BS (2011) and PhD (2015) from UT Dallas. His research focuses on nanotechnology applications, including energy-harvesting materials, carbon nanotube yarns, and smart materials for artificial muscles and actuators. His work spans thermal energy conversion, electrochemical systems, and biomimetic design. Key research contributions include twistron yarns for harvesting mechanical energy, thermally-powered polymer actuators, and torsional refrigeration systems. Recent studies demonstrate applications in self-powered sensors, ocean wave energy capture, and advanced textiles. No scientific awards are explicitly listed in the provided texts. His work involves collaborations with institutions globally, including Hanyang University and Virginia Tech. Ongoing projects likely explore material innovations for sustainable energy solutions and biomedical applications.

Gaļina TerļeckaView profile

Senior Lecturer

• Clothing Technology
• Textile Engineering
• Smart Textiles
• +3 more

Dr. sc. ing. Gaļina Terļecka is a Senior Lecturer at the Institute of Architecture and Design, Riga Technical University (RTU), where she has been contributing to academic and scientific work since 2007. Her expertise lies in clothing and textile technology, and she actively participates in international and national research projects. She teaches the following study courses: Garment construction and modeling Automated garment design Functional clothing and smart product design Pattern grading Modular garment processing Construction and sewing practices Her research interests span technological advancements in textile engineering, functional clothing, and smart product design, integrating innovative and sustainable practices within the apparel industry. Her professional philosophy emphasizes the joy of sharing knowledge and continuous enhancement of expertise through industry conferences and seminars.

Boyu KuangView profile

Research Fellow

• Semantic Segmentation
• Object Detection
• Weakly Supervised Learning
• +9 more

Dr. Boyu Kuang is a Research Fellow in Computer Vision and Artificial Intelligence at Cranfield University, affiliated with the Centre for Computational Engineering Sciences. His work bridges academic research with industrial applications in aviation, robotics, and energy systems. Current role: Research Fellow in Computer Vision and AI Key affiliations: Centre for Computational Engineering Sciences Research interests include semantic segmentation , object detection , weakly and self-supervised learning , multi-modal perception , and vision-language foundation models . His methodology emphasizes robust AI systems for low-resource industrial environments , with applications in aviation maintenance , robotics , and energy infrastructure monitoring . He leads the Artificial Intelligence and Machine Learning module at Cranfield. Key activities include the UKRI, ATI, and Airbus-funded ONEHeart project on autonomous systems and intelligent inspection. Collaborations span Stanford University , King’s College London , Civil Aviation University of China , and industry partners like Airbus and Leidos . Publications focus on vision-language models , multi-modal perception , and industrial AI . As an Editorial Board Member for Discover Artificial Intelligence (Springer Nature), he contributes to academic governance. Peer review experience includes 60+ journal manuscripts for venues like IEEE Transactions on Image Processing and Elsevier Neural Networks . Facilities utilized include DARTeC and AIRC .

• Textile Engineering
• Antimicrobial Textiles
• Functional Materials
• +5 more

Dragana Grujić is a full professor at the Faculty of Technology, University of Banja Luka, specializing in textile engineering and functional materials. She leads research on antimicrobial textiles, dielectric properties of materials, and sustainable textile processing. Her work integrates chemical, physical, and biomedical approaches to enhance textile functionality. University: University of Banja Luka Faculty: Faculty of Technology Department: Department of Textile Engineering Her research focuses on antimicrobial treatments using plant extracts and nanomaterials, dielectric behavior of modified textiles, and thermal comfort in sports apparel. She has pioneered methods for optimizing textile finishing processes and developed automated tools for material testing. Recent projects include studies on bentonite-modified textiles, inkjet printing parameters for fabric properties, and UV-resistant antimicrobial materials. Her work has been published in journals like Journal of Materials Science , Cellulose Chemistry and Technology , and Antioxidants . Dr. Grujić has secured grants for projects such as 'Dielectric Properties of Polymer Composites' and 'Phase-Change Materials in Textile Finishing'. She collaborates internationally on bio-based materials and antimicrobial solutions. Her contributions span over 100 peer-reviewed articles and several textbook chapters on textile technology and material science.

Simeon GillView profile

Professor

• Fashion Technology
• Pattern Engineering
• Body Scanning
• +4 more

Dr. Simeon Gill is a Professor in Fashion Technology at the University of Manchester , contributing to the Department of Fashion Business Technology. His research focuses on automation of pattern generation, body scanning applications, and sustainable apparel practices, aligning with UN SDGs related to sustainable manufacturing. Gill leads projects like SORO-MADE (Soft Robotic Mannequin) and Apparel Advance , exploring textile innovation and sustainable manufacturing. He has supervised 8 PhD students and authored over 68 publications since 2009, with recent work emphasizing 3D body scanning, compression garment engineering, and educational tools for pattern construction. His collaborative network spans global institutions and industry partners. Key achievements include the Best Conceptualisation Paper Award (2025) for educational design frameworks and contributions to datasets like Alva Form Body Measurements . Gill actively engages in media discourse on sizing ethics and has appeared in BBC interviews, addressing issues like vanity sizing and body image. His lab work integrates robotics and AI to advance garment functionality and fit, with a focus on athlete apparel and aging demographics. Professional affiliations include membership in The Textile Institute, and he contributes to industry initiatives like the White Paper on Landmarking for Product Development . His research bridges academic rigor with industrial application, driving innovations in mass customization and virtual fitting interfaces.

Catherine BrinsonView profile

Professor

• Advanced Materials
• Polymers
• Nanostructured Materials
• +5 more

Catherine Brinson is the Sharon C. and Harold L. Yoh III Distinguished Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. She holds the Pratt School of Engineering affiliation and has served in academic leadership roles, including Department Chair and Associate Dean at Northwestern University. Her research focuses on advanced materials, with an emphasis on polymer-based nanostructured systems, interfacial mechanics, and integrating data science into materials discovery. Brinson earned her B.S. from Virginia Tech (1985), and M.S. and Ph.D. from Caltech (1986, 1990). Her work bridges experimental and computational methods, leveraging atomic force microscopy (AFM) and machine learning to study material behavior at nanoscale to bulk levels. Key projects include developing FAIR (Findable, Accessible, Interoperable, Reusable) data frameworks for materials research and optimizing 3D-printed metamaterials. She has pioneered methods like Dynamic Scanning Indentation (DSI) for polymer characterization and contributed to the MaterialsMine initiative for data-driven material design. Brinson's awards include the A.C. Eringen Medal (2022), AAAS Fellowship (2020), and Nadai Medal (2014). Her lab’s innovations span from smart textiles to computational modeling of nanocomposites. Collaborative efforts in materials informatics, such as the MaRDA initiative, underscore her commitment to interdisciplinary and open-science practices. Her grants include NSF CAREER Awards and industry collaborations. The Brinson Lab at Duke trains researchers in materials science, data science, and advanced characterization techniques, emphasizing FAIR data principles and AI integration.

• Robotics
• Biomedical Engineering
• Mechanical Engineering
• +3 more

Dorin Sabin Copaci is an Associate Professor at the Systems Engineering and Automation Department of Carlos III University of Madrid , affiliated with the Robotics Lab . His work bridges Robotics , Biomedical Engineering , and Mechanical Engineering , focusing on Soft Robotics and Rehabilitation Technologies . Academic Rank: Associate Professor Department: Systems Engineering and Automation Research Groups: Robotics Lab Contact: dorinsabin.copaci@uc3m.es, dcopaci@ing.uc3m.es His research centers on Shape Memory Alloy (SMA)-based actuators for rehabilitation devices. Recent publications highlight advancements in soft exoskeletons for pediatric patients, sEMG-controlled systems , and flexible sensor design . Key trends include adaptive control algorithms , biomimetic engineering , and human-robot interaction in therapeutic contexts. Scientific awards include leadership in projects like FotoArt5.0-CM (Comunidad de Madrid) and SRAR (AEI). He has supervised theses on exo-glove development and SMA actuator analysis . Active grants from organizations like GESNAER CONSULTING and ARQUIMEA support his work on soft rehabilitation robotics and airport luggage handling systems . He is based at the Agustin de Betancourt Lab (Leganés campus) and collaborates with multidisciplinary teams in Medicine and Physiotherapy .

• Robotics
• Computer Science
• Mechanical Engineering
• +8 more

Luis Enrique Moreno Lorente is a Full Professor in the Department of Systems Engineering and Automation at Carlos III University of Madrid, where he leads research in the Robotics Lab. He is affiliated with the Pedro Juan de Lastanosa Institute of Technology Development and Innovation and the Research Institute for Higher Education and Science (INAECU). Research Focus: Robotics, Soft Robotics, Control Systems, and Human-Machine Interaction Key Applications: Neurorehabilitation, Unmanned Aerial Vehicles, and Industrial Automation Research Trends in his recent work include: Soft robotic actuators using Shape Memory Alloys (SMA) Advanced path planning for UAV teams and Mars rovers Integration of Gaussian processes and evolutionary algorithms Wearable rehabilitation devices controlled by sEMG signals Mechanical design optimization for high-displacement actuators Supervised Theses cover topics like Global localization algorithms Evolutionary optimization techniques Intelligent actuator systems Cerebral palsy rehabilitation robotics Key Grants include projects funded by the European Commission, Arquimea Aerospace, and Spanish government initiatives in robotics and rehabilitation.

Mauro VallatiView profile

Professor

• Artificial Intelligence
• Automated Planning
• Argumentation
• +13 more

Mauro Vallati is a Full Professor of Artificial Intelligence at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. He is also the Director of the Centre for Autonomous and Intelligent Systems and holds leadership roles in several AI-focused research centres, including the Centre for Planning, Autonomy and Representation of Knowledge and the Centre of Artificial Intelligence for Mental Health. Additionally, he is a member of the Sustainable Living Research Centre. Vallati is currently accepting PhD students and is an active researcher with over 200 publications. His research expertise lies in Artificial Intelligence, with a strong focus on Automated Planning and Argumentation. He applies these techniques to real-world problems, particularly in Urban Traffic and Mobility, which is the central theme of his UKRI Future Leaders Fellowship. He also explores innovative applications of AI in Medicine and Computational Creativity. His work aligns with UN Sustainable Development Goals, especially in sustainable cities and communities. The recent articles highlight a consistent trend in applying AI and planning techniques to urban mobility challenges, including traffic signal optimization, autonomous vehicle routing, and passenger demand prediction. There is also a strong theoretical foundation in argumentation, plan robustness, and macro-actions. The research spans both practical implementations and algorithmic advancements, with increasing emphasis on sustainability and real-world impact. Scientific Awards and Recognitions: UKRI Future Leaders Fellow ACM Senior Member ACM Distinguished Speaker on AI for the UK Vallati has secured significant research funding through projects such as AI4ME, AI for Autonomic Urban Traffic Control, MIREL, and SimplifAI. He supervises PhD students and early-career researchers, contributing to the development of the next generation of AI scientists. His leadership in organizing key academic events, such as the UK Planning and Scheduling Special Interest Group workshop, underscores his active role in the international AI community. He leads and contributes to multiple research centres, including the Centre for Autonomous and Intelligent Systems, where he drives innovation in AI applications for traffic, mental health, and sustainability. His interdisciplinary collaborations span engineering, computer science, and environmental research, particularly evident in projects involving textile waste recycling and legal text mining.

Chat WacharamanothamView profile

Researcher

• Human-Computer Interaction
• Interactive Statistics
• Scientific Decision-Making
• +7 more

Chat Wacharamanotham is an external lecturer and researcher at Swansea University's Computational Foundry, having joined from the University of Zurich (UZH) in July 2022. Prior to UZH, he was affiliated with RWTH Aachen University in Germany. His work bridges interactive technologies and scientific decision-making, particularly in the context of statistics. His research interests lie at the intersection of Human-Computer Interaction, Interactive Statistics, and Scientific Decision-Making . He investigates how interactive tools can support scientists in planning experiments and interpreting statistical reports, using methodologies such as Human-Centered Design, Contextual Inquiry, and lab experiments with eye- and motion-tracking. His work emphasizes transparency, usability, and cognitive support in data analysis workflows. The recent publications highlight a consistent focus on interactive statistical tools, experimental design support, and gaze-based analysis . Projects like Argus, Touchstone2, and Statsplorer demonstrate a trajectory toward building interactive systems that guide users through complex statistical reasoning. The research integrates visualization, user interface design, and empirical evaluation, primarily within the HCI domain. While no scientific awards are listed in the provided text, his contributions to the field are evident through his active publication record in premier venues like CHI and IEEE TVCG. Chat Wacharamanotham is involved in teaching, including a seminar on Experiments in Human-Computer Interaction for Master's students. Although he is no longer available for thesis supervision, he continues to contribute to academic instruction at UZH. His research is conducted within a collaborative lab environment, as evidenced by co-authored works with teams from various institutions.

Matteo-Claudio PalpacelliView profile

Associate Professor

• Robotics
• Mechatronics
• Applied Mechanics
• +12 more

Matteo-Claudio Palpacelli is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche, where he has been a faculty member since 2019, following his role as a researcher from 2008 to 2019. He teaches Applied Mechanics to Machines at the Bachelor's level and Functional Design at the Master's level, both at the Ancona campus. Bachelor of Science in Mechanical Engineering, Polytechnic University of Marche, 2004 PhD in Artificial Intelligence Systems in Information, Management, and Industrial Engineering, Polytechnic University of Marche, 2008 His research lies at the intersection of Robotics, Mechatronics, and Applied Mechanics , with a strong emphasis on parallel kinematic machines , collaborative robotics , reconfigurable robots , robotic microassembly , and visual servoing . He has advanced expertise in biomechanics and rehabilitation robotics through a collaboration with King’s College London. His work also extends to multibody system dynamics and compliant mechanisms. Palpacelli has contributed to national PRIN projects in bioengineering and miniaturized robotics, as well as European projects in the textile sector. The recent publications (2021–2024) highlight a consistent focus on collaborative robotics, optimization of robotic motion, compliant mechanisms, and industrial automation. There is a clear trend toward integrating AI and machine learning in robotic polishing and defect detection, while maintaining a strong foundation in kinematic analysis, control strategies, and mechanical design. Topics such as collision avoidance, inverse kinematics of non-spherical wrist robots, and flexure hinge modeling reflect both theoretical and applied contributions. His scientific contributions are recognized through over 60 Scopus-indexed publications and two patents. While no specific awards are mentioned in the text, his leadership in research projects and international collaborations underscores his academic impact. He actively supervises PhD students, including Albin Bajrami, Federico Emiliani, and others, and collaborates closely with colleagues such as Massimo Callegari and Luca Carbonari. He is involved in the i-LABS research initiative, focusing on human-robot collaboration and industrial case studies. His research group is engaged in both fundamental and applied projects, bridging academia and industry.

Ali TürkyilmazView profile

Associate Professor

• Operations and Production Management
• Supply Chain and Operations
• Industry 4.0
• +7 more

Ali Türkyilmaz is an Associate Professor in the Department of Innovation, Management and Marketing at the UiS School of Business and Law, University of Stavanger. He specializes in operations, production, and sustainable systems management, with a strong focus on digital transformation and Industry 4.0. His research interests include: Operations and Production Management Supply Chain and Operations Industry 4.0 & Digital Transformation Circular Economy and Sustainable Systems Business Analytics and Decision Making Quality & Lean Management His recent publications (2020–2025) demonstrate a consistent focus on digital transformation in industrial and construction contexts, particularly in emerging economies. Key themes include Industry 4.0 readiness, circular economy implementation, smart manufacturing, and pandemic-resilient built environments. His work often employs empirical and simulation-based methods and is published in high-impact journals like Journal of Cleaner Production , Sustainable Production and Consumption , and Building and Environment . Notable scientific contributions include maturity models for Industry 4.0, circular value chain frameworks, and advisory systems for digital transformation. His research is highly collaborative, involving scholars from Kazakhstan, Norway, and other international institutions. He has presented at international conferences such as APMS, MakeLearn, and TIIM, focusing on digital transformation management and Industry 4.0 implementation. While no formal awards are listed, his extensive publication record reflects significant scholarly impact. Ali Türkyilmaz actively contributes to academic discourse through conference presentations and collaborative research. He is involved in developing tools and models for sustainability and digitalization in industry and construction, suggesting ongoing engagement with real-world applications and future research in resilient and sustainable systems.