جست‌وجوی استاد و پژوهشگر

Jun Wuمشاهده پروفایل

دانشیار

• Computational Design
• Digital Fabrication
• Topology Optimization
• +۷ مورد دیگر

Jun Wu is an Associate Professor in the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft), Faculty of Industrial Design Engineering, where he has been a tenure-track faculty member since 2016 and was promoted to Associate Professor in August 2022. He holds two PhDs: one in Computer Science from Technische Universität München (2015) and another in Mechanical Engineering from Beihang University (2012). Prior to TU Delft, he was an HC Ørsted Postdoctoral Fellow at DTU Denmark. Research Interests: His research lies at the intersection of computational design, digital fabrication, and structural optimization. He specializes in topology optimization (generative design) for additive manufacturing, with a focus on space-time optimization, stress-constrained design, multi-material lattices, and bio-inspired infill structures. His work bridges mechanical engineering, computer graphics, and materials science to create high-performance, lightweight, and printable structures. Recent Research Trends: His most recent publications (2023–2025) demonstrate a strong trend toward integrating physical constraints—such as residual stress, thermal distortion, and manufacturability—into topology optimization frameworks. He is pioneering space-time optimization for multi-axis additive manufacturing, developing methods for stress-aligned lattices, and exploring differentiable microstructures. His interdisciplinary work spans biomedical implants, soft robotics, and educational tools for design. Scientific Awards: Frontiers of Science Award, International Congress of Basic Science (2023) 2023 ISSMO Haftka Young Investigator Award 2021 SMA Young Investigator Award Best Paper Award (2nd place), SPM 2019 ISSMO/Springer Prize (2020) Multiple ESI Highly Cited Papers Advising and Grants: He leads a vibrant research group with numerous PhD students and postdocs. In 2023, he was awarded a Vidi grant from the Dutch Research Council (NWO) for his project on Space-time optimization for additive manufacturing . He has also secured funding under the Dutch Research Agenda (NWA) for the project AM4Micro . He actively mentors PhD candidates and has co-organized the IDEA League summer school on Computational Design for Additive Manufacturing since 2020. Labs and Teams: He is affiliated with the Computational Design Lab at TU Delft and is the initiator and convener of the TOP Webinar series since 2020, fostering global collaboration in topology optimization. He serves on the editorial boards of Computer-Aided Design and Structural and Multidisciplinary Optimization , and has been a program committee member for major conferences including SPM, CGI, and CVM.

• Fatigue Crack Propagation
• Tribology
• Powder Metallurgy
• +۶ مورد دیگر

Professor Kamran Tabeshf at Bournemouth University specializes in materials engineering, with a career spanning over four decades. His research focuses on fatigue crack propagation, tribology, powder metallurgy, and thermal storage systems. PhD in Mechanical Engineering (University of Southampton, 1974) Key research areas include: Advanced material testing under extreme conditions Innovations in rotational molding and composite design Development of e-learning platforms for risk management Scientific contributions show trends in: Metals and polymers under mechanical stress (1974-2023) Computational tools for material selection Thermal energy storage optimization Awards and professional memberships: Fellow of The Royal Society of Arts and Manufacture (2005-) Member of The Engineering Council (1982-) Member of The Institute of Materials, Minerals and Mining (1982-)

Markus Dongaمشاهده پروفایل

استاد

• Mechanical Engineering
• Computer-Aided Design
• Machine Elements
• +۴ مورد دیگر

Prof. Dr. Markus Donga is a full-time Professor at Ruhr West University of Applied Sciences, affiliated with the Department of Mechanical Engineering. He joined the university in May 2010 after extensive industry experience in the packaging sector. Prior to academia, he served as Head of Development and Design and held executive authority as sole authorized signatory at a medium-sized packaging company. He completed his Mechanical Engineering studies at Ruhr University Bochum, followed by two doctorates: one in Packaging Logistics from the University of Dortmund (Faculty of Mechanical Engineering) and another in Economics from the University of Dortmund (Faculty of Economics and Business Administration). His research focuses on Machine Elements , CAD/Construction , Product Development , and Economical Small-Series Production . Specific innovations include applications of 3D-CAD in packaging design, reverse engineering methodologies, and finite element analysis for structural optimization in manufacturing. Publications demonstrate sustained expertise in packaging logistics and computational engineering , with recurring themes of CAD integration, structural simulation (FEM), and technical-economic optimization in packaging systems from 1998-2008.

• Manufacturing Processes Engineering
• Additive Manufacturing
• Medical Device Design
• +۷ مورد دیگر

Joaquim De Ciurana Gay is a full Professor at the University of Girona, affiliated with the Department of Mechanical and Industrial Construction Engineering within the School of Engineering. He leads the Research Group in Product, Process, and Production Engineering (GREP), focusing on advanced manufacturing, biomedical applications, and industrial innovation. PhD in Industrial Engineering, UPC (1997) Postdoctoral experience at Rutgers University (USA), Cranfield University (UK), and Université du Québec à Trois-Rivières (Canada) His research spans manufacturing process engineering , additive manufacturing , medical device design , and tissue engineering . He applies methodologies such as TRIZ, Quality Function Deployment, and Design of Experiments to solve complex engineering problems. His work emphasizes industrial collaboration and technology transfer. The recent publications reflect a strong trend toward biomedical applications of manufacturing technologies , especially in medical device prototyping, tissue engineering bioreactors, and patient-specific surgical tools. There is also consistent research in optimization of machining and additive processes , integrating AI and sustainable practices. The interdisciplinary nature of his work bridges mechanical engineering with healthcare innovation. Award for Scientific Collaboration with Companies – ASCAMM Technological Centre (2011) Joaquim De Ciurana actively supervises research and leads innovation in teaching, having authored educational materials and led teaching innovation projects. His research is supported by multiple national and international projects, particularly in the biomedical domain. He has established numerous industry collaboration agreements to transfer knowledge and implement research outcomes in real-world settings. He leads the GREP Research Group , which fosters interdisciplinary research in product and process engineering, involving collaboration across academia and industry. The group's work includes both fundamental research and applied development in manufacturing systems and biomedical technologies.

• Quality Management
• Production Technologies
• Machine Learning
• +۳ مورد دیگر

Aleksandar Jovicic is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. With a PhD in Mechanical Engineering (2016) and dual Master's degrees in Quality Management and Mechanical Engineering, he specializes in production technologies and quality systems within manufacturing processes. Education : PhD in Mechanical Engineering (2016), University of Kragujevac MA in Quality Management (2009), University of Belgrade MA in Mechanical Engineering (2018), University of Kragujevac BA in Technics & Informatics (2008), University of Kragujevac His research interests focus on quality management systems, production technologies, and machine learning applications in manufacturing. He explores how AI and digital tools can optimize casting processes and implement circular economy principles in foundries. Recent publications demonstrate his work in abrasive water jet machining analysis, CAD/CAE integration in casting, and AI-driven metal melting control. His research spans 2012-2025 with significant contributions to wear prediction modeling and sustainable manufacturing. Scientific awards include multiple grants from Serbian development agencies and participation in EIT RawMaterials' DustREC-II project. He serves as project manager for EU-funded initiatives in automation and zero-waste processing. As a certified Lead Auditor for ISO 9001, 14001, and 45001 standards, he bridges academic research with industrial quality systems implementation.

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

Reinhilde Jacobsمشاهده پروفایل

استاد

• Dentomaxillofacial Radiology
• Oral and Maxillofacial Surgery
• Artificial Intelligence in Dentistry
• +۷ مورد دیگر

Reinhilde Jacobs is a full professor at KU Leuven's Faculty of Medicine, Department of Imaging & Pathology. She serves as Head of the Oral and Maxillofacial Surgery - Imaging & Pathology (OMFS) unit and division head of the OMFS-IMPATH Division. Prof. Jacobs also holds membership in several prestigious institutes including iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health, Leuven.AM – KU Leuven Institute for Additive Manufacturing, and LKI - KU Leuven Cancer Institute. Internationally, she serves as Secretary General of the International Association of DentoMaxilloFacial Radiology and President-elect of Digital Dentistry Society. Prof. Jacobs earned her Doctor in Dental Sciences from the University of Leuven, is a certified periodontologist (KU Leuven), and holds a Master in Dental Radiology from the University of London. She also maintains visiting professor positions at Karolinska Institutet in Stockholm, Sweden and Dalian Medical University in China. Her educational background forms the foundation for her interdisciplinary approach to dental research and clinical practice. Her research focuses on the integration of advanced imaging technologies with artificial intelligence to improve dental diagnostics and treatment planning. Specializing in dentomaxillofacial radiology, her work spans CBCT imaging optimization, AI-assisted surgical planning, biofabrication of dental tissues, and nanoparticle applications in endodontics. The OMFS-IMPATH research group she leads aims to develop and validate surgical tools and image-based solutions to advance oromaxillofacial surgery while minimizing peri- and postsurgical risks. Analyzing her recent publications reveals a strong emphasis on AI applications across multiple dental specialties. Approximately 60% of her 2024-2025 publications incorporate artificial intelligence for diagnostic or treatment planning purposes, particularly in implantology, endodontics, and prosthodontics. Her work consistently bridges fundamental imaging science with clinical applications, with significant focus on reducing radiation exposure while maintaining diagnostic quality and developing multimodal imaging approaches that integrate hard and soft tissue visualization. Her scientific achievements have been recognized with numerous awards: D Collen Research Travel Award (1994) Postdoctoral fellowship of the European Commission (1994-95) IADR Young Investigators Award (1998) Belgian Joachim Award in the Odontostomatology (1999) Dr Honoris Causa at the Iuliu Hatieganu University of Medicine and Pharmacy (2013) Prof. Jacobs actively supervises doctoral candidates and has served as principal investigator or co-investigator on numerous research projects, including multiple European-funded initiatives (Pisa, Minosquare, Osteodent, SedentexCT, Dimitra). Her current research portfolio includes 10 active projects running through 2028, with significant focus on AI applications in endodontics, bioengineered scaffolds for tissue regeneration, and multimodal fusion of oral hard and soft tissues. She has secured substantial funding for developing bench-top machines for electrospinning and electrospraying, as well as for personalized endodontic care through low-dose 3D imaging. As leader of the OMFS-IMPATH research group, Prof. Jacobs oversees a multidisciplinary team working at the intersection of dentistry, medical imaging, and engineering. The group's mission focuses on creating virtual patient replicas through global integration of digital datasets, enabling full surgical simulation and development of image-based surgical tools. The team maintains strong connections with the Centre for Dentomaxillofacial Imaging and the Department of Oral and Maxillofacial Surgery at University Hospitals UZ Leuven, ensuring direct translation of research findings into clinical practice.

• Manufacturing Processes
• Precision Machining
• Hybrid Machining Technologies
• +۳ مورد دیگر

Bert Lauwers is a full professor at KU Leuven's Faculty of Industrial Engineering Sciences, affiliated with the Department of Mechanical Engineering. He leads the Manufacturing Processes and Systems (MaPS) unit at Campus De Nayer Sint-Katelijne-Waver while holding multiple administrative roles across Leuven campuses. Research Focus: Hybrid machining technologies combining physical and electrochemical processes Computer-Aided Manufacturing (CAM) systems and precision engineering Additive manufacturing and WAAM (Wire Arc Additive Manufacturing) Surface integrity analysis and friction hysteresis modeling Laser hardening applications and cermet material development Academic Leadership: Division/Subdivision Head across four KU Leuven campuses (De Nayer, Geel, Diepenbeek, Genk). Active member of University Council, Academic Council, and specialized committees including Leuven Institute for Additive Manufacturing and FabLab-Leuven. Publication Trends: Recent 2023-2025 work shows increasing focus on: Multi-physical process integration (EDM-ECM, laser-mechanical) High entropy materials and cermet synthesis Surface topography modeling Microstructure-property relationships Hybrid machining applications for biomedical and automotive components Energy-efficient manufacturing systems Teaching: Delivers courses in production systems, computer-integrated manufacturing, and machine tool design.

• Manufacturing Engineering
• Precision Machining
• Industrial Engineering
• +۱ مورد دیگر

Yiğit Özcan is a researcher at KU Leuven within the Manufacturing Processes and Systems (MaPS) unit. He holds a doctoral scholarship and focuses on machining technologies, particularly in milling and abrasive water jet machining (AWJM). University: KU Leuven Department: Manufacturing Processes and Systems (MaPS) Academic Rank: Researcher Research Interests include: Machining process simulation Tool bending and deflection analysis Smart sensor integration in tool holders Controlled depth AWJM for free-form surfaces Adaptive dexelization algorithms Real-time part quality estimation Scientific Awards : Doctoral Scholarship Özcan's recent publications highlight collaborations with colleagues like S. Kushwaha , J. Qian , and D. Reynaerts , focusing on aerospace manufacturing, precision engineering, and sensor-embedded tool systems. His work bridges theoretical modeling and practical industrial applications.

• Biomechanics of the Skeleton
• Computer-Aided Surgery Systems
• Rehabilitation and Prevention Biomechanics
• +۷ مورد دیگر

Jozef Vander Sloten is a Full Professor at the Department of Mechanical Engineering, Faculty of Engineering Sciences, KU Leuven. He leads the Biomechanics Division and multiple subdivisions, while serving as Dean of the Faculty of Engineering Sciences and Head of the Faculty of Engineering Services. His research focuses on skeletal biomechanics, computer-aided surgery systems, and rehabilitation/prevention biomechanics, with applications in additive manufacturing for medical implants and in silico trials. Biomechanics of the Skeleton Computer-Aided Surgery Systems Rehabilitation and Prevention Biomechanics Additive Manufacturing in Medicine In Silico Trials Medical Robotics His recent publications analyze topics like tissue inhomogeneities, magnetic catheterization, and cartilage mineralization in fracture healing. He supervises projects related to radiation-free catheter navigation, personalized mandibular implants, and neurodegenerative disease biomechanics.

• Software Engineering
• Formal Methods
• Verification and Validation
• +۵ مورد دیگر

Professor Wolfgang Reif serves as Director of the Institute for Software & Systems Engineering at the University of Augsburg's Faculty of Applied Computer Science. His research spans multiple domains where formal methods meet practical engineering applications, particularly in software engineering, robotics, and self-organizing systems. Prof. Reif's research interests focus on applying formal verification techniques to complex systems engineering challenges. His work bridges theoretical computer science with practical applications in robotics, manufacturing, and autonomous systems. He has developed approaches for verification of concurrent systems, self-organizing production cells, and human-robot collaboration frameworks. His research demonstrates a consistent pattern of translating theoretical formal methods into practical engineering solutions for real-world problems. The recent publications reveal a strong trend toward integrating artificial intelligence with traditional engineering domains. His team has been particularly active in applying machine learning techniques to robotics, manufacturing processes, and verification problems. The publications show increasing focus on practical implementations of self-organizing systems, with applications in drone swarms, production automation, and composite material manufacturing. The work consistently demonstrates how formal verification can be applied to increasingly complex systems involving AI components. Prof. Reif leads a substantial research group with numerous PhD students and collaborators. His team operates within the Institute for Software & Systems Engineering, where they maintain active collaborations with both academic and industrial partners. The research environment supports work across multiple domains including formal verification, robotics, manufacturing systems, and AI applications. The team has developed several notable frameworks including PROTEASE for swarm robotics, SensorClouds for multi-modal sensor processing, and various verification tools built around the KIV system.

• Technical Drawing
• Computer-Aided Design (CAD)
• Mechanical Engineering
• +۳ مورد دیگر

Nicolo' Genco is an external lecturer at the Polytechnic University of Turin, affiliated with the Department of Management and Production Engineering (DIGEP) and actively engaged across multiple schools including the School of Chemical and Materials Engineering, School of Mechanical, Aerospace, and Automotive Engineering, and School of Management and Production Engineering. He has served as a Course Lecturer and Collaborator for 'Industrial Technical Drawing' and related subjects since the 2019/20 academic year. His teaching spans diverse engineering disciplines such as Energy Engineering, Chemical and Food Engineering, Aerospace Engineering, Automotive Engineering, Mechanical Engineering, Management Engineering, and Manufacturing Technologies. While no explicit research areas or publications are detailed in the provided text, his focus on technical drawing, CAD, and machine construction methodologies highlights his specialization in foundational engineering design and graphical communication tools for product development.

• Materials Engineering
• Manufacturing Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Fabrizia CAIAZZO is a Full Professor at the University of Salerno , affiliated with the Department of Industrial Engineering. She teaches courses such as General Materials Technologies , Computer-Aided Production , and Innovative Production Processes . Location: Fisciano Campus, Building L5, First Floor, Room 001 (U.FL-ING04.P01.001) Contact: f.caiazzo@unisa.it Reception Hours: Mondays and Wednesdays, 9:30 - 11:30, Laboratory L5 Her teaching involves remote and in-person exams, with strict adherence to procedural guidelines for written and oral assessments. She oversees laboratory activities and manages technical and administrative protocols for academic evaluations.

• Manufacturing Systems
• Production Engineering
• Metrology
• +۳ مورد دیگر

Prof. Dr. Ali Zahedi is a faculty member at Westfälische Hochschule, located in Gelsenkirchen, Germany. He is affiliated with the Department of Mechanical Engineering, Environmental and Building Technology (FB 1), where he contributes to teaching and research in advanced manufacturing and engineering systems. His primary teaching and research interests include manufacturing processes, production systems, surface and coordinate measurement technology, and computer-aided experimental design. These areas reflect a strong focus on precision engineering, industrial quality assurance, and optimization of manufacturing technologies. Prof. Zahedi’s work supports the practical and applied engineering education mission of the university of applied sciences. Although no specific publications or research projects are listed, his expertise lies in the integration of modern metrology and statistical methods into industrial production environments. There is no information available regarding scientific awards, grants, or student supervision.

Martin Heldمشاهده پروفایل

دانشیار

• Computational Geometry
• Discrete Mathematics/Optimization
• Algorithms and Data Structures
• +۶ مورد دیگر

Ao. Univ.-Prof. Dipl.-Ing. Dr. Martin Held is an Associate Professor in the Department of Computer Science at the University of Salzburg. He leads the Geometric Algorithms Group , focusing on computational geometry, optimization, and geometric design applications. His research spans algorithms, data structures, and virtual reality frameworks. Born in 1962, re-established academic career at University of Salzburg (founded 1622) Office: Jakob-Haringer-Str. 2, Room 1.20, Salzburg (5020) Research impact: Computational geometry foundations for manufacturing and GIS systems As a senior faculty member in Austria's largest educational institution, Held contributes to research-based teaching across 90 degree programs. The University of Salzburg's 2,000 academics drive innovation through local/international networks, with Held's work particularly influencing geometric algorithms and computer-aided design domains. His group's work connects theoretical computer science with industrial applications.