Prof. Elisaveta Gadjeva is a full Professor in the Department of Informatics at Technical University of Sofia's Faculty of Electronic Engineering and Technologies. With over 30 years of experience in developing CAD systems for electronics, she holds additional affiliations as a lecturer at New Bulgarian University and Tampere University of Technology (Finland), and is an IEEE member. Her research expertise spans: Automated electronic design Circuit simulation (discrete/analog systems) Parameter extraction for components Automated diagnostic systems for fault detection She utilizes tools including OrCAD PSpice, MATLAB, and LTSpice in her work. Analysis of her 15 most recent publications (2001-2007) reveals strong focus on: SPICE-based modeling techniques RF circuit optimization Noise analysis in amplifiers Geometric parameter optimization Analog circuit diagnostics Her teaching portfolio includes core courses in electronic design and simulation at both undergraduate and graduate levels across multiple institutions.
Yasuhisa Koreeda is an Associate Professor in the Department of Design within the Faculty of Arts at Osaka University of Arts. His professional affiliations include leadership roles at the Japan Industrial Designers Association where he chairs the Standards Committee and serves on the Kansai Region Steering Committee. Concurrently, he maintains industry engagement as Representative of Lead Design, complementing previous executive positions at iDesign Co., Ltd. and Chitose Co., Ltd. He earned his Bachelor of Design from Osaka University of Arts (1985-1990), establishing foundational expertise he later expanded through professional design work. Dr. Koreeda's research interests center on: Industrial Product Design : Comprehensive packaging solutions integrating form and function 3D CAD Systems : Specialization in Rhinoceros workflows and surface modeling Design Methodology : Practical applications of 3D tools in industrial contexts Digital Prototyping : From conceptualization to manufacturing-ready models His extensive publications demonstrate consistent focus on 3D design tools and methodologies. Recent works emphasize practical CAD education through software tutorials, while earlier articles analyze industry applications and workflow optimization. The trajectory shows increasing sophistication in addressing complex industrial design challenges through digital tools. As an educator, he regularly conducts seminars on 3D design processes, with international presentations complementing domestic workshops. His industry-informed approach bridges academic concepts with professional design practices.
Prof. Jens Emig is a faculty member at Technische Hochschule Lübeck's Department of Civil Engineering. His primary affiliations include academic leadership in civil engineering and active involvement in the Innovation Center for Construction (IZB), where he contributes to the Competence Area for Networked Planning, Construction, and Operation. He also participates in the university's Research and Transfer unit. His research focuses on: Traffic planning and simulation systems Computer-Aided Design (CAD) applications Integrated networked planning methodologies Construction technology innovation Operational optimization in civil engineering projects Prof. Emig maintains active industry-academic collaborations through the Innovation Center for Construction, though specific student advising or grant details aren't documented in available materials.
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.
Dr. Anthony Bowman serves as a Research Assistant Professor in the Department of Mechanical Engineering at Marquette University, where he maintains active research and teaching responsibilities. His academic foundation includes advanced degrees entirely within mechanical engineering disciplines from Marquette University. His educational credentials: Ph.D. in Mechanical Engineering, Marquette University, 2007 M.S. in Mechanical Engineering, Marquette University, 2001 B.S. in Mechanical Engineering, University of Wisconsin-Platteville, 1992 Dr. Bowman's research program centers on thermofluid phenomena with emphasis on heat transfer , thermodynamics , and fluid mechanics . His work integrates numerical modeling and simulation techniques to analyze complex thermofluid equipment and processes, particularly focusing on system-level behavior in coiled geometries and thermal management applications. This interdisciplinary approach bridges theoretical fluid dynamics with practical engineering design challenges. His publication record demonstrates consistent expertise in computational thermofluids and engineering education. The 2009 textbook on CAD modeling reflects his commitment to pedagogical innovation, while the 2006 conference series on coiled tube systems and motorcycle exhaust thermal performance establishes his specialization in thermal system analysis. Collectively, these works reveal a research trajectory focused on developing analytical frameworks for thermofluid equipment with industrial relevance. Current information indicates no formal advising responsibilities or laboratory leadership roles. Dr. Bowman maintains professional engagement through scholarly publications and curriculum development within the mechanical engineering program.
Prof. Dr.-Ing. Thomas Reibetanz serves as a Professor at the Faculty of Technology, Reutlingen University, with his office located in Building 4, Room 015. Contactable via +49 7121 271 7049 and thomas.reibetanz@reutlingen-university.de, his teaching focuses on applied engineering disciplines with office hours by appointment. His research and instructional expertise spans: Manufacturing Engineering and production technologies Quality Management Systems and CAQ-Labor (Computer-Aided Quality) Digital Factory implementations Simulation techniques including factory planning and casting simulation CAD/CAM integration Prof. Reibetanz leads core coursework in Simulationstechnik, CAD/CAM, and Qualitätsmanagement, emphasizing practical applications in mechanical technology and manufacturing processes within Reutlingen University's engineering programs.
Ye Li is a Professor at Bradley University's Caterpillar College of Engineering & Technology, where he serves in the Industrial & Manufacturing Engineering & Technology Department. His office is located in the Business and Engineering Convergence Center (Room 4225), and he can be contacted at yli@bradley.edu or (309) 677-2934. Education: Ph.D., Industrial Engineering, Iowa State University M.S., Mechanical Engineering, Shanghai Jiao Tong University, China B.S., Mechanical Engineering, Shanghai Jiao Tong University, China Research Focus: Professor Li's research specializes in advanced manufacturing technologies with particular expertise in: Rapid Prototyping & Additive Manufacturing Reverse Engineering methodologies CAD/CAM integration Computational Geometry applications Manufacturing process optimization Industrial metrology systems His work bridges theoretical computational methods with practical industrial applications. Publication Overview: With over 15 publications in leading manufacturing journals, Professor Li's research demonstrates consistent focus on optimization techniques for manufacturing processes. Recent works (2010-2013) primarily address rapid prototyping efficiency, geometric optimization, and lean manufacturing systems. His foundational research (2005-2009) established methodologies for machinability analysis and CAD-based manufacturing solutions.
Prof. Dr. Michael Winkler serves as Professor for Simulation in Product Development at the Faculty of Mechanical Engineering, Ravensburg-Weingarten University of Applied Sciences (RWU), holding this position since 2014. His academic journey spans prestigious institutions including ETH Zurich and industry roles at ZF Friedrichshafen AG. His educational foundation includes: Diploma in Mechanical Engineering from FH Ravensburg-Weingarten (2001-2005) Master's degree in Mechanical Engineering from ETH Zurich (2005-2008) Doctoral studies at ETH Zurich (2008-2012) Specializing in computational simulation methodologies, Winkler's research bridges theoretical models with industrial product development cycles. His expertise focuses on finite element analysis, CAD integration, and structural optimization within mechanical systems. He develops simulation frameworks that enhance predictive accuracy in virtual prototyping while reducing physical testing requirements. Current work emphasizes real-time simulation techniques for complex mechanical assemblies under operational stress conditions, with applications spanning automotive and precision engineering sectors. Based in office D027 at Building D (Leibnizstraße 9, Weingarten), his operational scope integrates academic instruction with industrial consultancy through RWU's applied research framework.
Dr. H. Felix Lee is a Professor in the Department of Industrial Engineering at Southern Illinois University Edwardsville's School of Engineering. He holds a Ph.D. in Industrial Engineering from the University of Michigan (1989), an M.S. from Oklahoma State University (1984), and a B.S. from Hanyang University, South Korea (1982). His research focuses on: Computer-integrated design/manufacturing systems Advanced CAD/CAM/CAE applications 3D modeling for productivity enhancement Operations research and simulation Continuous quality improvement methodologies Dr. Lee renovated SIUE's Manufacturing Engineering curriculum, introducing industry-relevant CAD/CAM/CAE/PDM coursework used to train both students and Boeing engineers. He secured an NSF grant for developing design tools for flexible manufacturing systems. Professional affiliations include SME, IIE, INFORMS, Tau Beta Pi, and Phi Kappa Phi.
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.
Albert Cerrone serves as a Research Assistant Professor in the Department of Civil & Environmental Engineering & Earth Sciences at the University of Notre Dame's College of Engineering and holds a concurrent appointment as Senior Research Fellow at the Oden Institute, University of Texas at Austin. His work bridges academic research and industrial applications through Digital Twin technologies. Dr. Cerrone earned his PhD in 2014 from Cornell University under Tony Ingraffea, specializing in multiscale modeling of microcrack nucleation in superalloys. Prior to Notre Dame, he conducted durability research on ceramic matrix composites at GE Research's Lifing Technologies Laboratory. His research integrates machine learning with computational mechanics to advance Digital Twin frameworks across geospatio-temporal domains and materials systems. Key applications include probabilistic storm surge forecasting using high-fidelity hydrodynamics models, durability assessment of additively manufactured metals, and ultrasound-mediated biofilm disruption for inflammatory disease therapies. He employs transformer networks for real-time hydrodynamic error correction and develops geometric modeling tools for viral and biofilm structures. Recent publications demonstrate a clear trajectory toward operationalizing Digital Twin concepts, with increasing emphasis on machine learning integration for coastal inundation modeling and cross-disciplinary materials characterization. His work spans fundamental mechanics to deployable operational systems like NOAA's STOFS-2D-Global. Dr. Cerrone actively collaborates with NASA Langley on additive manufacturing projects and contributes to cystic fibrosis treatment research with Trinity College Dublin. His laboratory work includes computational modeling using ABAQUS, DREAM.3D, and custom Python frameworks for mesh generation and geometric reconstruction. Developed Polycrystal Volume Mesher for microstructure meshing Created Virion to Shell code for virus geometric modeling Teaches Solid Mechanics, Statics, and Engineering Programming
Giancarlo CONSOLO is an Associate Professor of Mathematical Physics at the University of Messina, where he has been employed since 2011, first as a Researcher and then as Associate Professor since 2016. He is affiliated with the School of Mathematical and Computer Sciences and teaches across multiple departments including Engineering and Mathematical Sciences. Born: June 24, 1980 in Messina, Italy Degree: Electronic Engineering summa cum laude (2004, University of Messina) PhD: Advanced Technologies for Optoelectronics, Photonics and Electromagnetic Modeling (2008, University of Messina) His research focuses on mathematical physics with particular expertise in spin-wave dynamics in ferromagnets and pattern formation in biological and ecological systems. He has extensively studied the Landau-Lifshitz-Gilbert-Slonczewski equation for magnetization dynamics and self-organization phenomena in hyperbolic reaction-advection-diffusion systems using Extended Thermodynamics. His work bridges theoretical mathematics with practical applications in materials science, ecology, and engineering. His publication record shows consistent output with recent work spanning mathematical biology, magnetic materials, and corrosion modeling. The 2023-2025 publications demonstrate his dual research focus on both fundamental magnetic phenomena (domain walls, spin dynamics) and ecological pattern formation, reflecting his interdisciplinary approach that connects mathematical physics with real-world applications. Young Researchers Award 2009 (University of Messina) CONSOLO has coordinated multiple research projects including several Young Researchers Projects funded by INdAM-GNFM and served as Local Coordinator for the MIUR-PRIN project 'Multiscale phenomena in Continuum Mechanics'. He has participated in numerous national and international collaborations with institutions across Europe and North America. His teaching portfolio includes Mathematical Methods for Engineering, Applied Mathematics, and specialized courses in Mathematical Physics for various engineering and science programs. He maintains active scientific collaborations through memberships in the National Group of Mathematical Physics (INdAM-GNFM) and the European Society for Mathematical and Theoretical Biology (ESMTB), and has organized significant international conferences including the 9th International Symposium on Hysteresis Modelling and Micromagnetics (HMM 2013).
Giulio Stefanini serves as Associate Professor of Cardiology at Humanitas University and Clinical and Interventional Cardiologist at IRCCS Humanitas Research Hospital and Humanitas S.Pio X Hospital in Milan. He leads clinical research for the Cardio Center at Humanitas Research Hospital, directing studies on complex cardiovascular interventions and outcomes. His educational background includes: Medical degree from Sapienza University of Rome PhD in Experimental Medicine MSc in Health Economics, Outcomes and Management in Cardiovascular Sciences from London School of Economics Professor Stefanini's research spans interventional cardiology with emphasis on coronary artery disease, transcatheter valve procedures, and antiplatelet therapy optimization. He integrates advanced imaging techniques like cardiac MRI and intravascular ultrasound with health economics analysis to improve procedural outcomes and patient management. His work frequently addresses high-bleeding-risk scenarios and complex vascular access challenges. Recent publications demonstrate concentrated focus on TAVR innovations, drug-coated balloon applications, AI-driven risk prediction, and in-silico procedural simulation. Key trends include personalized antiplatelet duration, mitral valve interventions, and registry-based evidence for complex coronary lesions. His scientific recognition includes: Fellow of the European Society of Cardiology (FESC) William Harvey Award from Italian Society of Cardiology Health Young Physician Leaders (YPL) programme nomination Multiple research grants from ESC and EAPCI Professor Stefanini has secured competitive funding including the Swiss National Science Foundation's SPUM grant and EAPCI research support. His leadership in the Cardio Center coordinates multicenter registries like HOSTILE and ULTRA-BIFURCAT. Current projects emphasize procedural standardization, minimalistic interventional approaches, and cardiovascular safety of emerging therapies. He directs the Cardio Center's clinical research activities, overseeing trials in complex PCI, structural heart disease, and cardiovascular outcomes research.
Thierry Aubert is a Lecturer at the Lucerne University of Applied Sciences and Arts, within the School of Engineering and Architecture. He has taught in the Industrial Engineering - Innovation program and the MAS in Design Engineering since 2010. His expertise bridges engineering and industrial design, with a focus on translating technical concepts into innovative product solutions. Aubert holds a Master of Arts in Integrated Design from Anhalt University of Applied Sciences (Germany) and a Diploma in Engineering (Automotive Technology) from Biel School of Engineering. His career includes founding Spirit Technology GmbH (specializing in industrial/vehicle design and engineering simulators) and leading vehicle/office chair development at Girsberger. His research and teaching emphasize problem-solving methodologies , digital prototyping (3D printing, CAD/VR), and electromobility . Key areas include: Industrial design processes Integration of technology in design Hardware-in-the-loop (HiL) simulator development Product innovation strategies Award recognition spans multiple prestigious design and innovation prizes: RedDot Design Awards iF Design Awards German Design Awards German Innovation Awards AIT Innovation Prize XXL He supervises student theses and industry projects, leveraging his experience in accreditation processes and engineering-design interface challenges. His work at Spirit Technology GmbH continues to influence global engineering training and product development.
