جست‌وجوی استاد و پژوهشگر

• Computer Aided Design
• Fashion Technology
• Textile Design
• +۷ مورد دیگر

Carolyn Hardaker is a Principal Lecturer and Associate Head of Department in the School of Fashion and Textiles at De Montfort University (DMU), Leicester. With a strong background in Computer Aided Design (CAD), she has been contributing to academic and pedagogical advancements in fashion and textiles since joining DMU in 1989. Her educational background includes a BSc(Hons) in Engineering Science and Management from Durham University and an MPhil in Computer Aided Design from Loughborough University. She also holds a PG Dip in Computer Aided Design from Lanchester Polytechnic. Carolyn's research and expertise center on the application of CAD in fashion and textiles, with specific focus on garment pattern design, grading for lingerie, 3D footwear modeling, visual merchandising, and the use of design software such as Photoshop and Illustrator within a fashion context. She is deeply involved in enhancing CAD pedagogy through the development of supportive e-learning resources. She has led significant projects, including a Higher Education Academy (HEA)-funded initiative to create screencasts for CAD teaching and a British Council FEED-IN project fostering collaboration between De Montfort University and Izmir University of Economics through joint student work. These efforts highlight her commitment to innovative teaching and international academic partnerships. Scientific Awards: Fellow of the Higher Education Academy Carolyn teaches across several programs, including BA(Hons) Contour Fashion, BA(Hons) Fashion Buying, BA(Hons) Footwear Design, and the MA in Fashion and Textiles. She plays a key role in curriculum development, particularly in integrating digital tools into design education. While there is no public mention of PhD or Master’s students she may have advised, her leadership in pedagogical research suggests a strong mentorship role in academic development. She is actively involved in professional development and industry collaboration, having worked on government and EU-funded studies and co-developed training materials and short courses with industry partners. Her work bridges academic instruction with real-world design applications.

Zachary Tatlockمشاهده پروفایل

دانشیار

• Programming Languages
• Formal Verification
• Compiler Optimization
• +۵ مورد دیگر

Zachary Tatlock is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington. He leads the UW PLSE research group and focuses on making programming languages and compilers more accessible through formal verification and practical tool development. Current affiliations: University of Washington (Paul G. Allen School) Academic rank: Associate Professor His research spans programming languages, compiler optimization, and formal verification, with recent work on: E-Graphs and equality saturation for program synthesis Floating-point error analysis and accuracy optimization Accessible web layout verification using formal logic Hardware-software co-design for compiler generation His recent publications demonstrate expertise in both theoretical foundations (congruence closure proofs, anti-unification) and practical implementations (Odyssey tool for FP rewriting, Titanic framework for number systems analysis). Collaborations span institutions like Adobe and involve rigorous formal verification in Coq and CakeML.

Chandrakana Nandiمشاهده پروفایل

استادیار

• programming languages
• compilers
• computational geometry
• +۵ مورد دیگر

Chandrakana Nandi is the Director of US R&D at Certora and an Affiliate Assistant Professor at the University of Washington (UW), Seattle. She earned her PhD from the UW PLSE group under advisors Zachary Tatlock and Dan Grossman. Education & Affiliation PhD in Computer Science (2021) from University of Washington MS in Computer Science (2014) from Georgia Institute of Technology BS in Computer Science (2012) from Georgia Institute of Technology Research Interests Her work focuses on automated formal verification for real-world programs, particularly DeFi applications. She develops verification tools for languages like WASM and uses mutation testing to simplify specification writing. She pioneered equality saturation applications in synthesis, verification, and optimization through projects like egg and Ruler . Her computational fabrication research includes LambdaCAD and Reincarnate. Publications & Awards Distinguished Paper Award (OOPSLA 2021) Distinguished Paper Award and Sigplan Research Highlight (POPL 2021) Community Involvement She chairs sessions at PLDI and OOPSLA, co-organizes EGRAPHS workshops, and contributes to the egg open-source library. Her NSF grants (#1813166, #1644558) and Adobe Research Fellowship support her work. Contact Email: chandra@certora.com

• Power Systems
• Electromechanical Systems
• Neural Networks in Power Engineering
• +۲ مورد دیگر

Shylo Serhiy Ivanovych serves as a Senior Lecturer and head of the educational department at Zaporizhzhia Polytechnic National University's Electrical Engineering Faculty, Department of Electrical Machines. Holding a Candidate of Technical Sciences degree (PhD equivalent), he has been actively contributing to academia since 2004 after completing his Master's in Electromechanics at the same institution. His research spans Power Systems Engineering , Neural Network Applications in transformer diagnostics and medical imaging, and Air Traffic Control Systems . Notable collaborations include IEEE publications on university ecosystem development and predictive modeling for power oil-filled transformers. His work demonstrates strong interdisciplinary connections between electrical engineering, artificial intelligence, and transportation safety systems. Scientific contributions include: Neural network synthesis for medical diagnostics and CAD integration Information modeling for air traffic management Renewable energy integration models High-voltage equipment analysis As an educator, he teaches advanced courses including High Voltage Electrical Devices, Electromechanical Systems Modeling, and Power Electronics, while maintaining active research through ORCID, Scopus, and Web of Science profiles. His technical expertise bridges theoretical research with industrial applications in energy systems.

Darren Wattsمشاهده پروفایل

مدرس ارشد

• Additive Manufacturing
• CAD/CAE Software Development
• Design Optimization
• +۷ مورد دیگر

Dr Darren Watts is a Senior Lecturer and Senior Teaching Fellow in CAD & CAE at the Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University. He serves as Director of Professional Training and IMechE Academic Liaison Officer. His expertise spans Additive Manufacturing, CAD/CAE software development, and design optimization. Education: BEng (Hons) Mechanical Engineering and MSc(Eng) Product Design & Management from the University of Liverpool, followed by a PhD in Topology Optimization for Rapid Manufacturing at Loughborough University. Research interests include Bespoke CAE software, Genetic Algorithms, Virtual Assembly Methods, and Medical Applications of Additive Manufacturing. He has led projects such as the EPSRC-funded 'Topologically Optimised Street Furniture for Concrete Printing' and 'Exploitation of Sinus Surgery Simulation Phantoms'. Awards include the Loughborough University Enterprise Award for Cultural Impact (2013) and a Royal Academy of Engineering Industrial Secondement Award (2013-2014). He is a Chartered Engineer and Fellow of the Higher Education Academy. Key roles: Co-Investigator on multiple EPSRC grants, Principal Investigator for surgical simulation projects, and industrial collaboration through Majenta PLM Ltd secondment. Labs/Teams: Core academic member of the Additive Manufacturing Research Group (AMRG), contributing to customized assembly and medical device prototyping advancements.

• Computer Aided Design
• CNC Machining
• Manufacturing Processes
• +۳ مورد دیگر

Parag Vichare is a Lecturer in Manufacturing and Computer Aided Engineering at the University of the West of Scotland (UWS), where he also serves as Programme Leader for the BSc Computer Aided Design Programme. He holds academic affiliations within the School of Computing, Engineering and Physical Sciences. His research focuses on product data management in multi-CAD environments, CNC machining, remanufacturing strategies, and STEP-NC standards. Dr. Vichare has led or co-led over 20 research projects, securing funding from bodies like the Scottish Funding Council, Innovate UK, and the EPSRC, totaling hundreds of thousands of pounds in grants. His teaching spans undergraduate and postgraduate modules including Computer Aided Design, Advanced Machining Systems, and Product Design. He has also served as an external examiner for multiple universities and contributed to international collaborations such as the Erasmus+ funded eAccess project, promoting accessible education in smart power systems. Notable awards include the Gold Medal (2005) and the Overseas Research Students (ORS) Award (2006). Research Highlights: Remanufacturing processes for circular economy, machine tool health monitoring, and extended reality (XR) in engineering education. Collaborations: Aerospace/Automotive manufacturers, Scottish Institute of Remanufacture, and international institutions like the University of Huddersfield and Changchun Institute of Technology. His work aligns with UN Sustainable Development Goals related to sustainable manufacturing and innovation. Recent research explores XR integration in teaching, structural optimization of agricultural machinery, and PEM fuel cell performance in harsh environments.

Benjamin Rüthمشاهده پروفایل

پژوهشگر

• Fluid-structure interaction (FSI)
• Multiphysics
• Blackbox coupling
• +۴ مورد دیگر

Benjamin Rüth (also known as Benjamin Rodenberg) is a doctoral candidate and Research Associate (Wissenschaftlicher Mitarbeiter) at the Chair of Scientific Computing in Computer Science (SCCS) at the Technical University of Munich (TUM). He is affiliated with the TUM School of CIT and the Department of Computer Science. His research focuses on fluid-structure interaction (FSI), multiphysics coupling, blackbox coupling, multiscale simulation, and time integration schemes, with a strong emphasis on research software engineering and sustainability. He is a core contributor to the preCICE coupling library, developing tools for partitioned multiphysics simulations. Education: M.Sc. (hons) in Computational Science and Engineering (2017, TUM) and B.Sc. in Engineering Science (2014, TUM). He advises numerous students on projects related to preCICE, FEniCS, and multiphysics modeling. He teaches courses such as Numerischer Programmieren and Computational Fluid Dynamics, and has coordinated the CSE Master's program. His work includes advancing higher-order time stepping schemes, waveform iteration methods, and integration of physics-informed neural networks. Research contributions span publications in conferences like SIAM CSE and journals like International Journal for Numerical Methods in Engineering. He co-developed web tools for teaching in mechanics and mathematics and contributed to open-source software ecosystems like preCICE. His activities include organizing workshops and advising on projects that bridge simulation software and real-world applications.

Michele Cano-Kourouklisمشاهده پروفایل

استاد

• Lean Manufacturing
• Quality Management
• Project Management
• +۶ مورد دیگر

Michele Cano-Kourouklis is a Professor and Head of the Division of Engineering at the University of West Scotland's School of Computing, Engineering and Physical Sciences . She specializes in Lean Manufacturing , Quality Management , and Project Management , with over 20 years of experience in multidisciplinary environments. Her academic leadership includes founding the MSc in Quality and Project Management and serving as an External Examiner at the University of Portsmouth . External Academic Roles : Visiting Professor at the University of Angers (2015) Research Focus : Lean Manufacturing, Continuous Improvement, and Digital Transformation in Education Industry Collaboration : She works with global organizations like Aggreko and Diageo on quality systems, Lean Six Sigma, and knowledge transfer. Her editorial roles include peer-reviewing for The TQM Journal , Journal of Cleaner Production , and International Journal for Six Sigma and Competitive Advantage . Research Trends : Recent work explores Extended Reality (XR) in engineering education, digital learning in higher education, and crisis risk management in SMEs. Her publications emphasize sustainability and technological integration across sectors. Scientific Awards Best Paper Award (2023) at an international conference Leadership in Academia : She chairs scientific committees for three international quality conferences and serves on the Chartered Quality Institute and the Research Advisory Board for the Future of Work.

Kemper E. Lewisمشاهده پروفایل

استاد

• Large-Scale Systems Design
• Design Analytics
• Collaborative Design Methods
• +۶ مورد دیگر

Kemper E. Lewis is the Dean of the School of Engineering and Applied Sciences and Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. He directs the Sustainable Manufacturing and Advanced Robotic Technologies (SMART) Community of Excellence, focusing on advanced manufacturing and design processes. With over 200 publications and $33 million in grant funding, his research spans large-scale systems design, decision theory, additive manufacturing, and machine learning applications in engineering. Education includes: PhD, Mechanical Engineering, Georgia Institute of Technology, 1996 MBA, University at Buffalo, 2003 MS, Mechanical Engineering, Georgia Institute of Technology, 1994 BS, Mechanical Engineering, Duke University, 1992 Research interests center on design optimization and manufacturing innovation, with recent publications exploring machine learning for additive manufacturing, blockchain in supply chains, and sustainable systems. His articles demonstrate consistent focus on AI-driven solutions for industrial challenges. Awards include: ASME Donald N. Zwiep Innovation in Education Award (2019) ASME Design Automation Award (2017) Sustained Achievement Award, Exceptional Scholar (2017) As Director of the Design of Open Engineering Systems Lab, he oversees projects integrating autonomy, intelligence, and materials technologies for next-generation manufacturing.

• Machine Learning
• Big Data Analytics
• Smart Cities
• +۴ مورد دیگر

Luis Francisco Sánchez Merchante is an Assistant Professor at Comillas Pontifical University's School of Engineering (ICAI), affiliated with the Institute for Research in Technology (IIT). He holds a Ph.D. in Information Technology from the Technological University of Compiègne, specializing in Machine Learning, and degrees from UPM and UC3M. His expertise spans Big Data analytics, smart cities, and AI applications in transportation. He has 12+ years in the private sector, including roles at Alstom, Bankia, and Amadeus, and has taught at multiple institutions since 2004. Education : Ph.D. in Information Technology (Machine Learning), Technological University of Compiègne Master's in Multimedia and Communications, UC3M Telecommunications Engineering, UPM Research Interests : Advanced analytics on Big Data platforms Machine Learning applications in smart cities and transportation Unsupervised learning (clustering), supervised learning (neural networks/random forests), and reinforcement learning Image/video/audio processing for AI-driven solutions Key Projects : EU-funded Injury Mitigation for Vision-Zero (2024-2028) WHO Global Road Safety Data Analysis (2023) AI for E-Scooter Safety (Comillas, 2023-2024) Grants & Awards : No explicit awards noted, but active in competitive EU/WHO grants. Advising & Labs : Supervising PhD candidate P. López-Adeva Fernández-Layos (Rigid Body Simulation). Active in IIT's AI and transportation research groups.

Onat Halis TOTUKمشاهده پروفایل

استادیار

• Additive Manufacturing
• Soft Robotics
• Mechanical Engineering Design
• +۴ مورد دیگر

Dr. Onat Halis TOTUK is an Assistant Professor at Çankaya University's Faculty of Engineering, Department of Mechatronics Engineering. He holds a PhD from İskenderun Technical University (2019-2023) and earlier degrees from Middle East Technical University (BSc 1982-1987, MSc 1987-1989). His academic career includes roles as a Lecturer and Assistant Professor, with part-time status from 2012-2018 before transitioning to full-time positions. Research Interests : Focus on Additive Manufacturing, Soft Robotics, and Computer-Aided Design. Key areas include 3D printed materials for robotics, SCAMPER methodology in design education, and sustainable engineering solutions aligned with UN SDGs. Recent work explores biomimetic manufacturing and adaptive robotic systems. Recent Trends in Publications : Recent articles emphasize soft robotics actuators, 3D printing applications in biomedical engineering, and innovative design methodologies. Earlier work includes studies on solar collector optimization and machining processes. Grants & Projects : Lead or contributed to projects like 'EBOT Pharmacy Robot Automation' (2021-2022) and 'Waste-to-Active Carbon Conversion' (2023-2024). Active in developing pharmacy automation systems and smart storage solutions. Advising : Supervised 5 master's students focusing on topics like robotic systems for additive manufacturing, tool wear analysis, and AI-driven ERP systems. Courses taught include Additive Manufacturing, Computer-Aided Design, and Mechatronics fundamentals.

Maria Helenowska-Peschkeمشاهده پروفایل

دانشیار

• Architectural Design
• Parametric Modelling
• Digital Fabrication
• +۳ مورد دیگر

Dr. Maria Helenowska-Peschke is an Associate Professor at the Department of Visual Arts, Faculty of Architecture, Gdańsk University of Technology. Her research focuses on parametric design, digital fabrication, and the integration of technology in architectural education. She holds a PhD in arts studies (1999) and a habilitation in engineering (2018). Her work explores the impact of digital tools on architectural practice, including energy modeling for sustainable housing and blended learning methodologies. Notable publications include analyses of parametric design trends, energy-efficient housing, and digital workshop innovations. She leads projects like the 'Parametric-Algorithmic Paradigm in Architecture' funded by MNiSW grants. Teaching focuses on computer techniques and hybrid educational models. Contact: mhelen@pg.edu.pl, Office: Gmach Główny - room 353.

Harald Skulbergمشاهده پروفایل

دانشیار

• Design Education
• Product Design
• 3D Form Exploration
• +۳ مورد دیگر

Harald Skulberg serves as an Associate Professor in the Department of Design at Oslo School of Architecture and Design (AHO), where he has established himself as a dedicated educator and researcher specializing in design pedagogy and product design methodology. His academic profile demonstrates consistent scholarly contributions to design education conferences and proceedings over nearly two decades, with particular focus on how students approach design problems and develop creative solutions. Skulberg's research interests primarily center on the cognitive aspects of design thinking, with special emphasis on mental scaling techniques, light manipulation in 3D form exploration, and cross-disciplinary approaches to complex design projects. His work examines how students navigate the design process, particularly during diploma-level work, and investigates how various media stimuli and digital tools can enhance creative potential in design education. He has made significant contributions to understanding how the pandemic context transformed design education practices, documenting the shift to virtual classrooms and the resulting pedagogical adaptations. Analysis of Skulberg's publications reveals a consistent research trajectory focused on the intersection of cognitive psychology and design education. His work demonstrates how mental scaling techniques serve as crucial tools for designers to conceptualize and manipulate form, particularly when working with light as a design element. More recently, his research has addressed the challenges and opportunities presented by remote design education, documenting how design pedagogy adapted during the pandemic era. His publications appear consistently in major design education conference proceedings, particularly the International Conference on Engineering and Product Design Education (E&PDE). Skulberg has also contributed to several collective works documenting student projects at AHO, including the 'AHO WORKS Studies' publications that showcase design education outcomes. His work bridges theoretical understanding of design cognition with practical applications in the design studio environment, making him a significant contributor to contemporary design education scholarship.

Christopher McCombمشاهده پروفایل

دانشیار

• Sociotechnical Systems
• Machine Learning for Engineering Design
• Human-AI Collaboration
• +۱۷ مورد دیگر

Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads research in sociotechnical systems, machine learning for engineering design, and human-AI collaboration. He is affiliated with the Block Center for Technology and Society, Manufacturing Futures Institute, NextManufacturing Center, and Wilton E. Scott Institute for Energy Innovation. Previously, he was an assistant professor at Penn State, where he directed the Center for Research in Design and Innovation and led the Technology and Human Research in Engineering Design Group. Ph.D., Mechanical Engineering, Carnegie Mellon University M.S., Mechanical Engineering, Carnegie Mellon University B.S., Civil Engineering and Mechanical Engineering, California State University-Fresno His research centers on human-AI teaming , sociotechnical systems , and computational design , with applications in additive manufacturing, STEM education, and energy systems. He explores how machine learning can enhance engineering design processes, particularly through human-centered AI, generative design, and agent-based modeling. His work emphasizes the integration of human cognition and behavior into AI systems to improve collaboration and innovation. The 15 most recent publications (2025) demonstrate a strong trend in AI-driven design automation , neural surrogate modeling , human-AI interaction , and data generation for engineering simulations . Topics span from using large language models for material selection and design concept generation to developing datasets and benchmarks for advanced manufacturing and CAD systems. There is a clear emphasis on real-world applications in aerospace, finance, and global manufacturing, particularly in Africa. National Science Foundation Graduate Research Fellow McComb has received research funding from NSF, DARPA, and private corporations, and has collaborated with Boeing through their Visiting Professorship Program. He advises students in mechanical engineering and design, and leads the Human+AI Design Initiative and the Design Research Collective. His research has been applied in partnerships with NASA and in addressing manufacturing challenges in Africa. He leads or contributes to interdisciplinary research teams focused on AI in design, additive manufacturing, and energy systems. His labs and initiatives include the Human+AI Design Initiative and the Design Research Collective, which foster collaboration between human-centered design and artificial intelligence.

Bogdanffy Lorandمشاهده پروفایل

استاد

• IoT Systems
• Control Engineering
• Simulation and Modeling
• +۳ مورد دیگر

BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.