CAD Design Automation Professors and Supervisors

Qunfen Qiمشاهده پروفایل

مدرس ارشد

University of BristolUnited Kingdom

Dr. Qunfen Qi is a Senior Lecturer at the University of Bristol's School of Electrical, Electronic and Mechanical Engineering, where she leads groundbreaking research at the intersection of mathematics, informatics, and manufacturing. With over 13 years of experience, she specializes in developing smart decision-making tools for product design and inspection using category theory as a foundational mathematical language. Her work bridges multiple disciplines to create more intelligent and transparent manufacturing systems that can 'think' like human experts. Dr. Qi's research focuses on knowledge modeling for manufacturing, with particular emphasis on smart information systems, abstract mathematical theory (category theory), Geometrical Product Specifications and Verification (GPS), Additive Manufacturing, surface design, and metrology. Her unique approach applies category theory to simplify complex relationships in manufacturing data, enabling better decision-making in digital manufacturing environments. This work has become increasingly relevant as manufacturing embraces advanced digital technologies like cyber-physical systems, IoT, and AI, where managing multiple levels of abstraction is critical. Her publication record shows a clear trajectory toward more sophisticated applications of mathematical frameworks in manufacturing, with growing integration of category theory with AI approaches, particularly in explainable AI for manufacturing contexts. Recent work demonstrates increasing practical applications in additive manufacturing, quality control, and digital twin development, with strong emphasis on how these systems can explain their decisions at multiple levels of detail. Scientific Awards and Recognition UKRI EPSRC Innovation Fellow (2018-2022) EPSRC Peer Review College Member (ranked top 4% for participation in 2020/21) Project lead for ISO/TR 24331-2 Geometrical Product Specification development ISO Technical Committee Expert (TC 213, TC 184 WG26, JWG 21) BSI Technical Committee Member (AMT_4, TPR1/1, TPR1/8, TPR1/9) Co-Chair of CIRP CAT 2024 (18th International Conference on Computer-Aided Tolerancing) Dr. Qi actively recruits PhD students interested in explainable machine learning, mathematical AI foundations, and smart manufacturing applications. Her research portfolio includes four major projects totaling significant funding, including an EPSRC Innovation Fellowship for 'A semantic infrastructure for advanced manufacturing' and a Royal Society International Exchanges project on mathematical foundations for digital manufacturing systems. She maintains strong international collaborations, particularly with Italian institutions like Politecnico di Milano and CNR-STIIMA, reflecting her global impact in advancing the mathematical foundations needed for next-generation intelligent manufacturing systems.

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Kyuil Kimمشاهده پروفایل

استاد

Marquette UniversityUnited States

Dr. Kyuil Kim is a Professor in the Department of Mechanical Engineering at Marquette University's College of Engineering. His scholarly work focuses on computer-aided manufacturing, industrial automation, precision engineering, and sculptured surface machining. He earned his Ph.D. in Mechanical Engineering from the University of Wisconsin-Madison (1986), M.S. in Mechanical Design and Production Engineering from Seoul National University (1982), and B.S. in the same field from Seoul National University (1980). Research Highlights: Pioneered volumetric error compensation techniques for multi-axis laser machining systems Developed mathematical models for automotive thermal comfort optimization Contributed to entrepreneurial engineering education frameworks Publications reveal expertise in manufacturing precision, thermal engineering, and educational innovation, with methodological emphasis on CAD/CAM integration, error analysis, and experimental validation. Contact: kyuil.kim@marquette.edu

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Luc Rollandمشاهده پروفایل

مدرس

École Centrale de NantesFrance

Luc Rolland is a Lecturer at the University of the West of Scotland, affiliated with the School of Computing, Engineering and Physical Sciences. He has maintained an active research profile since 1996 with recent collaborations at Centrale Nantes, Memorial University, and other international institutions. His research focuses on high-performance robotics systems design across multiple application domains. Rolland's work spans material handling systems, high-speed milling machinery, solar tracking mechanisms, palettizing solutions, reconfigurable robots, and stair-climbing platforms. His expertise extends to robot modeling, simulation, and control systems with particular emphasis on path planning and path pursuit certification. Recent publications (2021-2023) demonstrate a strategic expansion into healthcare robotics, decontamination systems, and autonomous vehicle validation. His work shows strong interdisciplinary connections between mechanical engineering, environmental science, and public health applications, particularly in ozone-based decontamination systems and UAV technology. Advanced robotics system design and implementation Parallel manipulator development for specialized applications UAV path planning and sense-and-avoid systems Hydrogen fuel cell systems for maritime applications Validation methodologies for autonomous vehicle features Rolland actively supervises three PhD students on projects related to UAV path planning, sense-and-avoid systems, and hydrogen-powered ship design. His research collaborations span Memorial University of Newfoundland, Centrale Nantes, and other international institutions. He has served as a visiting researcher at Ostfalia University of Applied Sciences and Changchun Institute of Technology, while also hosting academic visitors and providing peer review services for academic journals.

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Hossam Eldessoukyمشاهده پروفایل

مدرس

Robert Gordon UniversityUnited Kingdom

Dr. Hossam Eldessouky serves as a Lecturer in Advanced Manufacturing within the School of Computing, Engineering and Technology at Robert Gordon University (RGU), UK. With over 18 years of combined academic and industrial experience, he directs research through the Composite Materials Manufacturing Research Group while maintaining active industry collaborations across Egypt, UAE, and international institutions including University of Birmingham and Al Imam Mohammad Ibn Saud Islamic University. His educational background includes: PhD in Mechanical Engineering (2018) from University of Bath MSc in Industrial and Management Engineering (2010) from Arab Academy for Science, Technology & Maritime Transport BSc in Industrial and Management Engineering (2006) from Arab Academy for Science, Technology & Maritime Transport Dr. Eldessouky's research focuses on advancing manufacturing technologies through five interconnected domains: Additive Manufacturing for medical/aerospace applications, Precision and Smart Machining systems, Reverse Engineering methodologies, Smart Materials integration, and Composite Materials fabrication. His work consistently bridges theoretical innovation with industrial implementation, particularly in developing sustainable manufacturing solutions and high-precision components. His publication record demonstrates consistent output in high-impact journals, with recent work emphasizing sustainability integration in engineering education (2025), lattice-structured medical implants (2022), and advanced machining optimization (2021-2022). The research shows strong interdisciplinary connections between materials science, biomedical engineering, and digital manufacturing. Professional recognitions include: Fellow of the Higher Education Academy (FHEA) Multiple Shield of Honour awards from AASTMT (2006-2019) Black Belt Lean Six Sigma and ISO 9001 Lead Auditor certifications Extensive consultancy portfolio including Kamal Saad Co. and Summer-moon Fish Industry Dr. Eldessouky actively supervises student research projects while developing industry-relevant curricula. His grant portfolio includes international collaborative projects focused on sustainable manufacturing and advanced materials. The Composite Materials Manufacturing Research Group provides students with access to state-of-the-art equipment and real-world problem-solving opportunities through ongoing industry partnerships.

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Günter Barczikمشاهده پروفایل

استاد

University of Applied Sciences ErfurtGermany

Professor Günter Barczik serves as a Full Professor at the University of Applied Sciences Erfurt within the Faculty of Architecture and Urban Planning, holding the Professorship for Design, Digital Representation Theory and Computational Design. He has been in this position since September 2011 and previously served as an Assistant Professor at Brandenburg University of Technology Cottbus-Senftenberg from October 2004 to October 2010. His office is located at Schlüterstraße 1, Room 414, and he also serves as the Equal Opportunities Officer for the institution. Barczik's research interests center on computational approaches to architectural design, with particular focus on digital representation theory, immersive technologies, and the application of algebraic geometry in architectural contexts. His work explores how mathematical concepts can expand architectural vocabulary and how new technologies can transform traditional design processes. He investigates the intersection of computational tools with creative thinking, sustainable architecture practices, and visual communication methods. Analysis of Barczik's publication history reveals a consistent trajectory exploring the integration of computational methods with architectural design. His work demonstrates a progression from fundamental explorations of algebraic surfaces in architecture (2009-2012) toward more applied investigations of immersive technologies, team dynamics in design processes, and the evolving relationship between designers and digital tools. A recurring theme throughout his research is the examination of how computational techniques can enhance traditional design thinking while addressing contemporary challenges in urban planning and architectural representation. With 22 publications accumulating 5,886 reads and 65 citations, Barczik has established himself as a significant contributor to computational design discourse. His work connects architecture with mathematics, computer science, and interdisciplinary team dynamics, reflecting a holistic approach to design education and practice. His research demonstrates consistent engagement with both theoretical frameworks and practical applications of computational design methods in architectural education and professional practice.

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Ronny Standtkeمشاهده پروفایل

استاد

Bern University of Applied SciencesSwitzerland

Prof. Dr. Ronny Standtke is Co-group leader of the Digital Manufacturing Group at the Institute of Digital Construction & Wood Industries, Bern University of Applied Sciences in Biel, Switzerland. He holds a doctoral degree in Computer Science from the University of Freiburg and a Diplom-Informatiker from TU Dresden, with additional studies at TU Helsinki. His academic appointments include Professor for Digital Manufacturing at BFH (2021-2023) and lecturer positions at FHNW and PH FHNW. Research interests span digital manufacturing, computer science applications, and sustainable digitalization, with specialized focus on: Digital twins and BIM for construction industries CAD/CAM integration and process automation Data science applications in wood technology Open-source solutions for public sector IT infrastructure His publications demonstrate interdisciplinary contributions, evolving from early cybersecurity and anonymity research (2001-2008) toward educational technology innovations like the Lernstick platform (2011-2015), with recent work in public sector digitalization and civil engineering risk assessment (2023-2024). Awards include the IBM Open Education Award 2015 for developing the Lernstick learning environment. Current projects focus on: Secure remote assessment systems Open-source alternatives to proprietary software in government Business integration platforms for wood industry automation He leads bachelor thesis supervision in digital manufacturing optimization and has advised 10+ students on topics including: Production planning automation Shopfloor data analytics ERP system development

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Jens Bechtholdمشاهده پروفایل

استاد

South Westphalia University of Applied SciencesGermany

Prof. Dr.-Ing. Jens Bechthold is a Professor in the Department of Mechanical Engineering and Automation Technology at South Westphalia University of Applied Sciences (Soest campus), a position he has held since 2010. He chairs the Mechanical Engineering Examination Committee and maintains industrial collaborations through past roles at Winergy AG and Ipsen International GmbH. His affiliations include: Full-time Professor at South Westphalia University (2010-present) Former Development Engineer at Ipsen International GmbH (2007-2010) Former Calculation Engineer at Winergy AG (2006-2007) His research spans mechanical engineering , automation , and sustainable technology , with specialized focus areas: Electric mobility and automotive system design Experimental validation of simulation models Wind turbine gearbox dynamics and vibration analysis Additive manufacturing/3D printing applications He directs the Laboratory for Design Engineering and 3D Printing Lab , facilitating hands-on student projects. He actively supports the R4 Team Westfalen, a student group competing in humanitarian rally events. His 13 publications demonstrate consistent output in mechanical systems validation, CAD education, and renewable energy technology, with recent work exploring electric vehicle innovation. Professor Bechthold teaches courses including Machine Elements, Automotive Technology, Fatigue Strength, and Design for 3D Printing. He holds a European patent for industrial furnace gas processing systems.

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Manolis Tzimtzimisمشاهده پروفایل

مدرس

International Hellenic UniversityGreece

Manolis Tzimtzimis is a PhD Candidate in Additive Manufacturing and Machine Learning at the School of Science and Technology, International Hellenic University (IHU). He serves as a Technical and Scientific Laboratory Associate at the Digital Manufacturing and Materials Characterization Lab and as an Academic Scholar (instructor) in the School of Design Sciences, Department of Creative Design and Clothing at IHU. His educational background includes: BSc in Automation Engineering from the Technological Educational Institute of Thessaloniki MSc in Data Science from the International Hellenic University Mr. Tzimtzimis's research focuses on additive manufacturing and machine learning integration, with expertise in rapid prototyping technologies, 3D printing, CNC machining, and laser-based manufacturing. His technical proficiency spans Solidworks CAD software certification, 3D scanning methodologies, and advanced material characterization techniques essential for digital manufacturing workflows. He has participated in 7 research funding programs (4 European and 3 National) as a Researcher representing the International Hellenic University, Center of Research and Technology Hellas (CERTH), and Aristotle University of Thessaloniki (AUTH). Mr. Tzimtzimis contributes to the Digital Manufacturing and Materials Characterization Lab, where he applies his dual expertise in automation engineering and data science to advance manufacturing process optimization and materials analysis.

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Yosif Mitev Mitevمشاهده پروفایل

مدرس پاره‌وقت

Technical University of GabrovoBulgaria

Dr. Yosif Mitev Mitev serves as a Part-time Lecturer at the Technical University of Gabrovo within the Faculty of Mechanical Engineering and Instrument Making, Department of Mechanical Engineering and Technologies. Holding a Doctorate in Technical Sciences with scientific and educational focus, he contributes to both teaching and research activities at the university. Dr. Mitev's research interests center on CNC machine technology, parallel kinematics equipment, CAD/CAM systems, and mechanical engineering design. His work spans metal cutting processes, tooling and fixture design automation, manufacturing process optimization, and production prototyping. He has developed methodologies for automated design of technological processes and programming of machinery. His publication record shows consistent contributions to manufacturing engineering, with recent work focusing on gear machining, tool monitoring systems, and parallel kinematics applications. The publications demonstrate a progression from fundamental machine design to advanced manufacturing process optimization and automation. Dr. Mitev has supervised five doctoral students working on topics including ceramic prototyping, milling machine modernization, tooth profile processing, modular tool systems, and injection mold optimization using 3D printing methods. He has participated in four research projects at TU Gabrovo focused on parallel kinematics equipment, modern design methods for technological processes, and manufacturing prototyping in scientific research and training. His teaching portfolio includes courses on production automation, CNC machine programming and operation, digital program control systems, and CAD/CAM systems in mechanical engineering.

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