جست‌وجوی استاد و پژوهشگر

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.

Christopher Laingمشاهده پروفایل

مدرس

• Computer-Aided Design
• Technical Drawing
• Manufacturing Technology
• +۲ مورد دیگر

Christopher Laing is an Instructor II in the Department of Engineering Education at the University of Manitoba's Price Faculty of Engineering. With over 20 years of teaching experience, he specializes in engineering CAD technology and design communication. His expertise encompasses: Computer-Aided Design (CAD) systems Technical drawing standards 3D modeling and prototyping CAD/CAM integration He has developed industry-academia partnerships including Skills Canada competitions and aerospace education initiatives that connect engineering students with manufacturing professionals.

Miladin Stefanovićمشاهده پروفایل

استاد

• Production Engineering
• Industrial Engineering
• Industry 4.0/5.0
• +۷ مورد دیگر

Miladin Stefanović is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His academic role includes research and teaching in production engineering, industrial systems, and advanced manufacturing technologies. He leads initiatives in Industry 4.0/5.0 integration, quality management systems, and smart manufacturing solutions. His research focuses on applying digital technologies like machine learning, computer vision, and IoT for optimizing industrial processes. Notable projects include robotic systems for food processing, OPC UA integration in automation, and cloud-based quality management frameworks. He emphasizes the transition from Quality 4.0 to 5.0, emphasizing human-centric manufacturing advancements. Stefanović has contributed to over 50 peer-reviewed publications since 2014, with recent work addressing real-time defect detection, smart quality control applications, and organizational resilience post-pandemic. His work bridges theoretical advancements with practical implementations in SMEs and public sector organizations. He has been actively involved in educational reforms, developing didactic tools for Industry 4.0 training and prototyping microprocessor-based learning systems. His lab focuses on edge computing solutions for manufacturing efficiency and sustainable resource allocation strategies.

• Production Engineering
• Tribology
• Materials Science
• +۵ مورد دیگر

Vladimir Kočović is an Associate Professor of Production Engineering at the Faculty of Engineering, University of Kragujevac. His research focuses on advanced manufacturing processes, tribology, materials science, and optimization of machining techniques. He holds a position in the Department of Production Engineering and has contributed to numerous interdisciplinary studies. His work spans experimental and computational methods, including tool wear analysis, material testing, and automation in manufacturing. He has developed specialized devices for measuring kinetic friction coefficients and optimizing cutting processes. Notable projects include studies on micro-cutting processes, 3D model reconstruction, and the application of AI in defect classification. Despite his prolific research output, no scientific awards are explicitly mentioned. He collaborates on projects involving tribological investigations, reverse engineering, and additive manufacturing. His academic activities include teaching and advising on mechanical engineering and industrial processes, though student names are not listed in available texts.

• Computer-Aided Design
• Production Engineering
• Engineering Management
• +۳ مورد دیگر

Koulouridakis Pavlos is affiliated with the Technical University of Crete as Laboratory Teaching Staff (EDIP) within the School of Production Engineering and Management. He is part of the Computer-Aided Design (CAD) Laboratory located at the DPEM Building (Δ4), 1st Floor, Office Δ4.110. His professional role focuses on laboratory teaching and research activities within the CAD domain. While specific research interests are not explicitly listed, his affiliation with the CAD laboratory suggests expertise in areas such as computer-aided design systems, manufacturing technologies, and engineering software development. No scientific awards, publications, or supervised students are documented in the provided information. Contact details include email pkoulouridakis@tuc.gr and phone +30282103 7256.

• Mechanical Engineering
• Automotive Engineering
• Computer-Aided Design (CAD)
• +۴ مورد دیگر

Pablo Izquierdo Belmonte is a full-time researcher and lecturer at the University of Vigo's College of Engineering, Department of Mechanical Engineering. His roles include teaching and overseeing student projects in areas such as vehicle dynamics, finite element analysis, and computer-aided design. He has been involved in academic guidance since at least 2013/2014, supervising bachelor's and master's theses focusing on automotive systems, mechanical design, and industrial innovation. His teaching spans courses like 'Theory of Machines and Mechanisms,' 'Vehicle Dynamics,' and 'Computer Aided Design (CAD).' Research interests include automotive engineering, structural analysis, and mechanical systems optimization. Notable projects include studies on vehicle suspension systems, finite element method applications, and industrial automation. He has contributed to academic work on topics like electric vehicle design, CAD prototyping, and sustainable materials in automotive contexts. No scientific awards or articles are explicitly listed, but his involvement in student projects highlights practical and applied research in mechanical and automotive engineering domains.

Florin GÎRBACIAمشاهده پروفایل

استاد

• Virtual and augmented reality
• Advanced driver assistance systems
• Human-computer interaction
• +۳ مورد دیگر

Florin GÎRBACIA is a Professor at the Technical University of Brasov, affiliated with the Department of Automotive and Transport Engineering under the Faculty of Mechanical Engineering. His research focuses on advanced driver assistance systems (ADAS), virtual/augmented reality applications in automotive contexts, human-computer interaction for vehicular interfaces, and computer-aided design methodologies. He holds a prominent position in automotive engineering research with contributions to ADAS warning systems, AR integration in automotive workflows, and driver attention dynamics. Key research interests include: Exploring AR/VR for autonomous vehicle interaction and metaverse applications Designing multimodal ADAS warnings using haptic and visual feedback Optimizing human-technology interactions in immersive CAD environments His publications reflect a sustained focus on: Technical advancements in automotive safety systems Human factors in vehicular interfaces Innovative applications of eye-tracking and biopotential signals in navigation interfaces No scientific awards or advising records were explicitly noted in the provided materials. His work aligns with the university's focus on technological innovation in mechanical and transport engineering domains.

• Production System Design
• Flexible Manufacturing Systems
• Computer-Aided Design (CAD)
• +۵ مورد دیگر

Magdalena BARBU is a Lecturer at the Department of Engineering and Industrial Management, Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov. Her research focuses on production system design, flexible manufacturing systems, and computer-aided design. She has contributed to advancements in automation, tool management, and 3D printing process optimization. Her work bridges theoretical frameworks with practical applications in manufacturing processes and industrial systems. Key research interests include: Automation of assembly processes and robotics integration 3D printing techniques and process management Tool flow dynamics and manufacturing system perturbations Green manufacturing and eco-friendly lubrication systems Kanban-based inventory and production control methodologies Publications emphasize industrial automation, sustainable manufacturing, and mathematical modeling for technical-economic forecasting. Her work spans journals like RECENT and METALURGIA INTERNATIONAL , with a notable book on manufacturing equipment systems (2020). No scientific awards or grants are explicitly listed in the provided materials. Her advisory role is currently unspecified, though her research themes suggest involvement in industrial collaborations.

Camelia COȘEREANUمشاهده پروفایل

استاد

• Furniture Manufacturing
• Wood Composite Materials
• Lignocellulosic Composites
• +۴ مورد دیگر

Camelia COȘEREANU is a Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Transilvania University of Brașov. Her research focuses on advanced wood-based materials, sustainable furniture manufacturing, heat/sound insulation composites, and digital design technologies. She has authored/co-authored influential textbooks including "Furniture. Seating furniture" (2012) and "3D modeling and manufacturing technology of furniture products" (2019). Recent studies explore CNC surface quality analysis, adhesive innovations for particleboards, and sustainable insulation solutions for passive houses. Education: Academic qualifications not explicitly stated in text Her work bridges traditional wood craftsmanship with modern manufacturing techniques, emphasizing sustainability through material innovation. Key research areas include lignocellulosic composites, decorative techniques, and 3D printing applications in furniture assembly. Over 10 years of continuous publication activity demonstrates her leadership in wood science and furniture engineering. Notable publications span applied engineering journals like "BioResources" and "Coatings" , reflecting interdisciplinary impact. Her research addresses both industrial needs (e.g., low-emission adhesives) and architectural trends (e.g., passive house insulation systems). Labs/Teams: Active in university's wood engineering research facilities

• Algorithms
• Computational Geometry
• Data Structures
• +۵ مورد دیگر

Erik Demaine is a Professor at the Massachusetts Institute of Technology (MIT), holding positions in the Department of Electrical Engineering and Computer Science (EECS) within the School of Engineering. He is also affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Theory of Computation (TOC) group. His research focuses on algorithms, computational geometry, data structures, complexity theory, discrete mathematics, and interdisciplinary areas like biology (protein folding) and computational archaeology. He is renowned for his interdisciplinary work, blending mathematics, computer science, and art. Notable contributions include the Carpenter's Rule Theorem, which proves planar linkages can be straightened without intersection, and foundational work on folding and unfolding problems. His collaborative approaches, including 'supercollaboration,' emphasize open problems and interdisciplinary methods. He has been featured in documentaries such as NOVA's The Origami Revolution and authored influential books like Geometric Folding Algorithms and Games, Puzzles, and Computation . Awards: MacArthur Fellowship (2003) Tetris Master Key Projects: Curved-crease sculptures in MoMA's permanent collection Virtual Glass software for glass design Origami-based computational models Demaine's work bridges academia and art, with notable exhibitions at the Museum of Modern Art (MoMA) and collaborative projects with his father, Martin Demaine. His research often explores playful yet rigorous computational challenges, reflecting his belief in the interplay between theory and creativity.

Atiyeh Ardakanianمشاهده پروفایل

مدرس

• Water-Energy-Food Nexus
• Sustainable Wastewater Reuse
• Fluid Mechanics
• +۳ مورد دیگر

Dr. Atiyeh Ardakanian is a Lecturer in Hydraulics at the School of Computing and Engineering, University of West London. She specializes in Civil Engineering disciplines, teaching undergraduate and postgraduate modules such as Fluid Mechanics, Hydraulics, Research Methods, Land Surveying, and Computer-Aided Design (CAD) for Civil Engineers. Her research focuses on the water-energy-food nexus and sustainable wastewater reuse , emphasizing environmental sustainability and engineering innovation. She contributes to interdisciplinary efforts in Civil Engineering, blending theoretical knowledge with practical applications. While her qualifications and awards are listed, specific details are not provided in the available text. She is involved in teaching across multiple programs, including the MSc Civil Engineering, BEng (Hons) Civil Engineering, and BEng (Hons) Civil and Environmental Engineering, reflecting her broad academic contributions.

Russell C. Hardieمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Russell C. Hardie is a full-time Professor at the University of Dayton , holding positions in the Department of Electrical and Computer Engineering with joint appointments in Electro-Optics and Photonics and Bioengineering . His academic journey began with a B.S. in Engineering Science from Loyola College (1988), followed by M.S. and Ph.D. in Electrical Engineering from the University of Delaware (1990, 1992). Prior to joining the University of Dayton in 1993, he served as a Senior Scientist at Earth Satellite Corporation (now MDA Federal). Research Interests : Digital signal/image processing, medical imaging, super-resolution techniques, hyperspectral/infrared imaging, pattern recognition Key Awards : 2006 Alumni Award in Teaching (University of Dayton) 1998 Rudolf Kingslake Medal (SPIE) 1999 School of Engineering Excellence in Teaching 2002 IEEE Professor of the Year 1997 Epsilon Delta Tau Engineering Professor of the Year Recent Work : Focuses on machine learning applications for medical imaging (lung segmentation, nodule detection), atmospheric turbulence mitigation, and hyperspectral data analysis. His 15 most recent publications span topics from zero-shot chest X-ray analysis to methane plume detection and turbulence-corrected imaging systems. Contact: rhardie1@udayton.edu

• Graphics and visualization
• Measuring technique
• Computer graphics
• +۵ مورد دیگر

Samir Lemeš serves as Dean of the Polytechnic Faculty at the University of Zenica (2022-2026), where he was elected as full professor in both Graphics and Visualization (November 2023) and Measuring Techniques (May 2022). Previously, he held significant leadership roles including Head of the Department of Software Engineering (2020-2023), Vice-Dean for Scientific Research (2015-2022), and Head of the Department of Civil Engineering and Building Structures (2015-2019). His research spans graphics and visualization, measuring techniques, computer graphics, CAD applications, digital image processing, and environmental monitoring systems. His work bridges theoretical computer science with practical engineering applications, particularly in Industry 4.0 contexts where he explores AI image generators, blockchain technologies, and IoT-enabled embedded systems. His research demonstrates a consistent focus on applying computational methods to solve engineering and environmental challenges. Analysis of his recent publications (2023-2025) reveals a strong emphasis on Industry 4.0 technologies, with significant contributions in computer vision applications, AI prompt engineering, digital image processing using OpenCV, and blockchain implementations. His work shows increasing interdisciplinary collaboration, particularly between computer science, environmental science, and industrial engineering. Professor Lemeš has been instrumental in several international environmental projects including the Network of Aarhus Centers for the Green Agenda and Environmental Protection (2024-2026), Reindustrialisation Following the Brownfield is Better than Greenfield Principle (2024-2026), and the Healthy Urban Environment Erasmus+ project (2018-2021). His grant portfolio demonstrates consistent funding from EU programs, UNESCO, OSCE, and international environmental organizations. He teaches across multiple engineering disciplines including Introduction to Information Technology, Computer Graphics, CAD in Construction, and Standardization, serving both undergraduate and doctoral students at the Polytechnic Faculty. His courses bridge theoretical computer science with practical engineering applications, particularly in the context of Industry 4.0 technologies.

Eliana Sanchez-Castanoمشاهده پروفایل

استادیار بالینی

• Restorative Dentistry
• CAD/CAM Technologies
• Dental Materials
• +۳ مورد دیگر

Eliana Sanchez-Castano serves as a Clinical Assistant Professor and CAD/CAM Coordinator at the School of Dentistry , University of Detroit Mercy. She holds a D.D.S. from University of El Bosque (Colombia), an M.A. in Hospital Management from E.S.A.P. Higher School of Public Administration, and an Implant Fellowship Certificate from The Ohio State University. Specializes in CAD/CAM dentistry integration and restorative dentistry education Recipient of 2017 Detroit Mercy Dental Student National Dental Association honor Her research spans dental materials, digital prosthetics, and interdisciplinary applications like soil remediation using agricultural byproducts. Key publications include studies on amalgam-composite bonding , denture base materials , and biochar soil amendment . Clinical expertise in implant-retained overdentures and enamel bleaching effects. Scientific awards include recognition from the Detroit Mercy Dental Student National Dental Association Chapter (2017). Collaborated on 7 peer-reviewed publications across dentistry, materials science, and environmental research since 2007.