Melik Dölen is a Professor in the Department of Mechanical Engineering at Middle East Technical University (Ankara Campus). He holds a B.Sc. from Istanbul Technical University (1990), M.Sc. from the University of New Hampshire (1994), and Ph.D. from the University of Wisconsin-Madison (2000). His research spans Precision Engineering , MEMS , Smart Electrical Drives , and Manufacturing Optimization . Specializes in additive manufacturing, CNC machining, and hybrid systems. Utilizes neural networks for predictive modeling in mechanical systems. Develops FPGA-based controllers for industrial automation. His recent work focuses on adaptive toolpath generation for 3D printing, hybrid manufacturing trends, and optimization algorithms. He has not received any publicly listed scientific awards. Email: dolen@metu.edu.tr
Ulaş Yaman is an Associate Professor in the Department of Mechanical Engineering at Middle East Technical University (METU) in Ankara, Turkey. He received his B.Sc. in Mechanical Engineering (2007), M.Sc. in Mechanical Engineering (2010), and Ph.D. in Mechanical Engineering (2014) from METU, with a minor in Mechatronics. His academic career includes roles as a Visiting Assistant Professor at Purdue University (2014-2015) and research positions at METU. His research specializes in additive manufacturing, CAD/CAM systems, computational geometry, and embedded control systems. Key areas include 3D printing optimization, FDM process enhancements, CNC command generation, and hybrid manufacturing technologies. Recent work explores Industry 4.0 integration, structural optimization for 3D-printed artifacts, and novel fabrication pipelines like LIPRO. Yaman's publications demonstrate strong focus on manufacturing innovations, with recurring themes in real-time command generation, material behavior in 3D printing, geometric algorithms for production, and educational tools for control engineering. His work frequently combines hardware implementation with computational efficiency. Scientific Awards: BEST PAPER AWARD - IEEE 8th Workshop on Intelligent Solutions in Embedded Systems (2010) Research Grants: TÜBİTAK 1001: A Smart- and Hybrid Manufacturing System Utilizing Additive Manufacturing Methods and Machining (2017-2020) TÜBİTAK 3001: A Novel Design and Fabrication Pipeline for 3D Printers: LIPRO (2017-2018) ODTÜ-BAP: Improving the Dimensional Accuracy of 3D Printed Artifacts (2016) He leads the Laboratory for Intelligent Production Systems (LIPRO) with six research assistants, focusing on additive manufacturing, computational geometry, and embedded systems. Current projects include developing multi-axis hybrid manufacturing systems and novel CAD/CAM architectures.
Ingela Nyström is a Professor in Visualization at Uppsala University's Department of Information Technology. She serves as the node coordinator for InfraVis and as Director of Postgraduate Studies at the Department of Information Technology. Her interdisciplinary work bridges Uppsala University's three academic domains through collaborations with the Centre for Image Analysis (CBA), Centre for Women's Mental Health (WOMHER), Uppsala Centre for Digital Humanities (CDHU), and Medtech Science & Innovation (MTSI). Medical image analysis 3D visualization Haptics in surgery planning Interactive segmentation Digital geometry Biomedical engineering Her recent research focuses on rotation-equivariant neural networks for biomedical image classification, interactive segmentation tools for cranio-maxillofacial surgery planning, and precision evaluation of intraoral scanning technologies. Publications since 2023 demonstrate continued work on 3D imaging protocols for implant dentistry and surgical applications. 2024: Equivariant CNNs for rotation-invariant biomedical imaging 2023: In vivo precision studies of full-arch implant scans 2021: Virtual surgical planning with haptic assistance 2016-2017: Multimodal robotics perception and 3D segmentation tools 2014: Orbital morphology analysis in craniosynostoses 2005-2011: Foundational work in 3D skeletons and fuzzy object measurements
Dr. Krzysztof Iwan is an Assistant Professor at the Department of Power Electronics and Electrical Machines within the Faculty of Electrical and Control Engineering at Gdańsk University of Technology. His office is located in Building A, room EM-214, and he can be contacted via email at krzysztof.iwan@pg.edu.pl or by phone at +48 58 347 1363. His research spans several key areas in electrical engineering and biomedical applications: Power Electronics: Converter systems, semiconductor device modeling, and drive technologies Simulation & Modeling: Development and application of simulation tools like TCAD and Saber Electromagnetic Compatibility: EMI propagation, filtering, and suppression techniques Biomedical Engineering: Surgical simulation for hernia repair and medical visualization Energy Quality: Analysis of harmonic distortions in power networks His publications demonstrate a consistent focus on computational modeling approaches to solve complex engineering problems. Recent work shows an interdisciplinary trend combining power electronics with biomedical applications, particularly in surgical simulation. The majority of his publications involve simulation-based research of power electronic systems and electromagnetic compatibility issues. Dr. Iwan is an active member of the Department's research team which focuses on: Modeling, design and simulation of power electronic converters Control and diagnostics of power electronic converters Electromagnetic compatibility of converters and electrical drives Quality of electrical energy Modeling and diagnostics of electrical machines and transformers Design of piezoelectric sensors and motors CAD and CAE techniques for power electronics
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.
Gilbert Bernstein is an Assistant Professor in the Computer Science & Engineering department within the College of Engineering at the University of Washington. His research bridges computer graphics and programming languages, with a focus on high-performance domain-specific languages. Previously, he was a post-doctoral scholar at UC Berkeley and MIT working with Jonathan Ragan-Kelley, and received his PhD from Stanford University under Pat Hanrahan. His research interests span Computer Graphics, Programming Languages, High-Performance DSLs, Physical Simulation, Geometry & Topology, Differentiable Programming, Hardware DSLs, Tools for Artists, Fabrication, and Human-Computer Interaction. Bernstein develops languages and compilers that enable efficient computation for creative applications, physical simulations, and graphics rendering systems. His recent publications reveal strong trends in differentiable programming for graphics applications, domain-specific languages for hardware acceleration, and computational approaches to traditional crafts like quilting and knitting. His work consistently combines formal language theory with practical applications in graphics and fabrication. Bernstein actively mentors students across multiple institutions including current advisees Felix Hahnlein (UW Postdoc), Ryan Zambrotta (UW PhD), Haoran Peng (UW PhD), and previous students including Alex Reinking (UC Berkeley PhD 2022, now at Qualcomm) and MacKenzie Leake (Stanford PhD 2021, now at Adobe Research). His lab works on diverse projects including debugging CAD programs, compilers for finite element methods, semantics for knitting machines, algebraic scheduling of tensor programs, and exocompilers for hardware accelerators. Bernstein also collaborates on DSLs for networking, Counterstrike bots, gradient-based optimization, memory management, hardware design, and garment design tools.
Chris Snider is an Associate Professor in Engineering Design at the School of Electrical, Electronic and Mechanical Engineering, University of Bristol. His research bridges the physical and digital divide in engineering design through computational systems that enhance capability while reducing skill requirements. His educational background includes an MEng and PhD. Research interests span Engineering Design, Computational Design, Human-Computer Interaction, Mixed Reality, Generative Design, Data Analytics, and Cognitive Engineering, with a focus on enabling engineers to work effectively across digital and physical domains using real-time analytics and AI-driven design support. Recent publications reveal strong trends in mixed reality applications, generative AI for engineering, and physiological measurement of cognitive load during design tasks. Core themes include ergonomic analysis with personalized dashboards, environment reconstruction for prototypes, spatial computing paradigms, and VR/AR tool comparisons – all emphasizing interdisciplinary approaches to complex design challenges. As Project Lead at the Design and Manufacturing Futures Lab since its inception (previously as post-doc researcher), he drives initiatives in computational design systems, big-data analytics of engineering performance, and innovation in constrained design scenarios. His work integrates technical design processes with global engineering management and creativity frameworks.
Цанка Маринова Златева-Петкова is a Senior Assistant (academic rank equivalent to Assistant Professor) at the Technical University - Gabrovo, Faculty of Economics, Department of Management. She holds a Doctorate in Economic Sciences and has been actively contributing to both teaching and research in management disciplines. Her academic career spans multiple decades with consistent scholarly output and engagement with practical business challenges. Institution: Technical University - Gabrovo Faculty: Faculty of Economics Department: Management Academic Degree: Doctor (scientific and educational), Economic Sciences Office: Cabinet 6102A Contact: zlateva@dir.bg Dr. Zlateva-Petkova's research interests span a broad spectrum of management disciplines with particular emphasis on organizational behavior, human resources management, business planning, and innovation management. Her work demonstrates a strong interdisciplinary approach, bridging theoretical management concepts with practical applications in engineering and technology sectors. She has developed expertise in measuring organizational effectiveness, managing human resources in crisis situations, and creating innovative management products for companies working in specialized fields like mechatronics and clean technologies. Her scholarly output reveals a clear evolution of research interests over time. Early work focused on fundamental management concepts like business planning and organizational behavior, while more recent publications show increased specialization in innovation management, technological cycles, and the integration of engineering principles with business management. The 15 most recent publications demonstrate her strong focus on Industry 4.0 challenges, technological obsolescence, and the development of practical management tools for contemporary business environments. Her research consistently addresses Bulgarian industry contexts while engaging with international academic discourse. Dr. Zlateva-Petkova has successfully led and participated in multiple research projects at the Technical University - Gabrovo, particularly those related to developing innovative management products and services for companies in specialized technological fields. Her teaching portfolio includes four bachelor's level courses that reflect her research interests: Organizational Behavior, Business Economics, Business Planning, and Engineering. Her textbooks on business planning have become important educational resources in Bulgarian higher education.
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.
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.
Christian Bauriedel serves as a Professor at Technical University of Applied Sciences Augsburg within the Faculty of Architecture and Civil Engineering. He holds dual leadership roles as Head of the Energy Efficiency Design (E2D) Master of Engineering program and Academic Advisor for E2D curricula, while also contributing to institutional governance as a Faculty Council member. His research integrates digital design methodologies with sustainable construction, specifically focusing on: Computer Aided Design (CAD) systems optimization Algorithmic and parametric design workflows Rapid prototyping techniques for architectural components Energy modeling for building performance Digital fabrication in construction Through THA_funkenwerk, Professor Bauriedel bridges academia and industry by mentoring student startups in construction technology. His academic advising emphasizes practical application of computational tools in energy-efficient building design, supported by industry partnerships embedded in the E2D programs. The Faculty of Architecture and Civil Engineering provides specialized facilities including model workshops and digital fabrication labs that enable his research vision.
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.
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.
