Find Academic Supervisors

Recep YILMAZView profile

Professor

• Business Administration
• Cost Accounting
• ERP Systems
• +7 more

Prof. Dr. Recep YILMAZ is a faculty member at the Department of Business Administration, Faculty of Business Administration, Sakarya University. His academic roles include teaching and research in cost accounting, management accounting, ERP systems, and financial information management. He holds a full-time professorship and has been actively involved in academic contributions since at least 2003. Education & Professional Background: While specific educational details are not explicitly listed, his extensive publications and project leadership indicate advanced academic credentials in business administration and related fields. Research Interests: Prof. YILMAZ focuses on cost accounting methodologies, ERP system implementations, supply chain optimization, manufacturing process control, and financial accounting standards compliance. His work integrates computer science applications (e.g., deep learning for inventory management) with traditional business disciplines. Article Trends: Recent publications emphasize predictive modeling in environmental risk management, real-time inventory systems, and ERP adoption in IFRS conversion. Earlier work includes studies on flexible manufacturing environments, fraud detection in ERP systems, and activity-based costing practices. Awards: Received the 'Eğitimde Müşemmelik Ödülü' (Excellence in Education Award) from Sakarya University in 2016. Research Projects: Led or contributed to over 20 projects, including real-time inventory models, dam occupancy predictions, and ERP system development. Grants & Mentorship: Supervised 13 doctoral and master’s theses, focusing on topics like ERP integration challenges, financial fair-play criteria in football clubs, and strategic pricing in furniture industries. He has also served on doctoral juries and academic organizing committees. Labs & Teams: Active in interdisciplinary teams developing digital systems (e.g., real-time document control, robotic sensing) and collaborating with industry partners like Arvasis Bilişim.

Dan MitchellView profile

Lecturer

• Computer-Aided Design
• Computer-Aided Manufacturing
• Industrial Prototyping
• +3 more

Dan Mitchell serves as an Instructor in the Department of Technology and Applied Science at Wayne State College. He teaches courses in industrial technology, including solid modeling, drafting, electronics, applied engineering, industrial prototypes, and manufacturing design. Prior to this role, he spent 34 years teaching at Yankton High School, where he instructed drafting, architecture, cabinetry, Cisco networking, and computer programming, alongside coaching football and wrestling. Education: MSE in Industrial Education, Wayne State College (1984) BAE in Industrial Education, Wayne State College (1989) His research interests focus on computer-aided design (CAD), computer-aided manufacturing (CAM), and project design for CNC equipment, 3D printers, and laser technology. Mitchell is actively involved with organizations such as the South Dakota Association for Career and Technical Education (SDACTE) and the National High School Coaches Association (NHSCA). In his personal time, he enjoys woodworking and traveling.

Steve K. WrightView profile

Lecturer

• Industrial Automation
• Programmable Logic Controllers (PLCs)
• Human-Machine Interface (HMI) Systems
• +5 more

Steve K. Wright is an Instructor in the School of Technology at Eastern Illinois University. His research focuses on industrial automation technologies, including Siemens S7 PLC programming, HMI systems, rapid prototyping with Arduino/Raspberry Pi, and CNC machining. He holds multiple certifications and degrees in technology and engineering. B.S., Eastern Illinois University M.S. in Technology, Eastern Illinois University Graduate Certificates in Technology Security and Computer Technology (Eastern Illinois University) AAS in Electronic Engineering Technology, Lake Land College Certification in Programmable Logic Controllers, Lake Land College His technical expertise spans PLC programming (Siemens, Omron, Allen Bradley), Oracle SQL databases, and CNC applications using Vectric Aspire and Mach III. He teaches courses in C++ programming, engineering technology fundamentals, and advanced database systems. No academic awards or grants are listed in the provided information. He currently advises no students and has no published articles in the dataset.

Adam HamiltonView profile

Senior Lecturer

• Prosthodontics
• Implant Dentistry
• Digital Technology in Dentistry
• +4 more

Adam Hamilton is a Senior Lecturer at the Dental School, University of Western Australia (UWA), and serves as Discipline Lead in Prosthodontics and Program Convenor for the D Clin Dent Prosthodontics program. Previously, he was Director of the Division of Regenerative Sciences and Implant Dentistry at Harvard School of Dental Medicine. He holds a Doctorate in Clinical Dentistry from the University of Melbourne and is a Fellow of the Royal Australasian College of Dental Surgeons. His research focuses on implant placement protocols, digital technology in prosthodontics, and rehabilitation of edentulous patients. He maintains a clinical practice in prosthodontics and implant surgery. Education: BDSc (Hons) from University of Western Australia FRACDS (Fellowship) DCD (Doctorate in Clinical Dentistry) from University of Melbourne MRACDS (Membership in Prosthodontics) Fellowship in Oral and Maxillofacial Surgery from University of Florida Research Interests: Implant dentistry and prosthodontics Digital workflows for implant rehabilitation Impact of computer-aided design/ manufacturing (CAD/CAM) Implant placement protocols and loading strategies Edentulous patient management Grants & Awards: Recipient of Harvard School of Dental Medicine RDBS Career Achievement Award (2018) Academy of Osseointegration award for best research presentation (2023) International Team for Implantology (ITI) Case Cloud Competition Winner (2015) Multiple editorial roles in journals like Journal of Prosthetic Dentistry and Clinical Oral Investigations Grants: Lead investigator on 'Clinical Methods for Evaluation of Implant Framework Misfit' funded by Academy of Osseointegration (2023–2027) Labs/Teams: Oral Health Centre of WA (OHCWA) Collaborations in implant dentistry research with institutions globally

Andrei LobovView profile

Associate Professor

• Knowledge-Based Engineering
• Artificial Intelligence in Manufacturing
• Ontology-Based Systems
• +5 more

Andrei Lobov is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Mechanical and Industrial Engineering. He specializes in knowledge-based engineering (KBE), AI-driven manufacturing systems, and ontology-based frameworks. His research focuses on integrating multi-disciplinary engineering knowledge into automated design and manufacturing processes, emphasizing interoperability and extendibility of systems. Education: B.S. in Computer and Systems Engineering (Tallinn University of Technology, 2001); M.S. in Automation Engineering (Tampere University of Technology, 2004); Ph.D. in Formal Methods in Factory Automation (Tampere University of Technology, 2008). Research Projects: Robotic Welding for Shipbuilding with Aluminium Hulls (2019-2023) – Contributing as a supervisor DIGIMAN: Multi-disciplinary knowledge integration for digital manufacturing (2021-2023) – Technical coordinator PERSEUS DP (2021-2026) – Manufacturing lead Research Interests: KBE frameworks, ontology-based systems, AI in manufacturing, digital twins, IoT integration, CAD/CAM automation, and interdisciplinary education. His work emphasizes leveraging semantic web technologies and machine-processable knowledge representation to enhance automation and interoperability in engineering workflows. Key Awards: Best Paper Award (12th IFAC Symposium, 2006) Best Presentation Paper Award (IEEE Industrial Informatics, 2008) Best Paper Award (International Conference on Systems, 2012) Teaching & Mentoring: Leads courses like TMM4270 (Knowledge-Based Engineering) and TMM4128 (Machine Learning for Engineers). Supervised over 20 MSc and PhD students, including notable works in KBE systems, human-robot collaboration, and IoT-driven manufacturing. Labs/Teams: Active in the Design, Analysis and Manufacturing (DAM) group at NTNU, focusing on KBE, digital twins, and automation. Developed the MOVIDA Tools Framework for formal validation in manufacturing systems.

• Industrial Engineering
• Mechanical Design
• Computer-Aided Design (CAD)
• +7 more

Alberto Vergnano is an Associate Professor at the Department of Engineering 'Enzo Ferrari' at the University of Modena and Reggio Emilia. His academic roles include teaching courses such as Design and Modelling of Electronic Systems , Industrial Technical Design , and Design Methods for Vehicle Engineering . His research focuses on advanced manufacturing processes, occupant safety systems, and simulation-based design optimization. Education: Doctorate in Industrial Engineering (not explicitly stated, inferred from academic rank). Affiliations: Member of LaPIS Lab and contributor to the MASA (Modena Automotive Smart Area) project. Research Interests: Thermal management in additive manufacturing, occupant position detection for vehicle safety, casting process optimization, and reconfigurable manufacturing systems. Recent projects include lattice structure design for shock absorption, sensorized vehicle seats, and heat transfer modeling in sand casting. Publications: Over 30 peer-reviewed articles and conference papers since 2019, emphasizing simulation-driven design and safety engineering. Key themes include occupant safety systems, die casting optimization, and smart manufacturing. Labs/Teams: Active in the LaPIS Lab, focusing on design tools and methods. Collaborates with industry partners on automotive and aerospace projects.

• 3D Printing
• Additive Manufacturing
• Welding
• +6 more

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.

André StorkView profile

Professor

• Computer Graphics
• Computer-Aided Design (CAD)
• Simulation
• +4 more

Prof. André Stork is a Professor at Technische Universität Darmstadt and Industry Director (Automotive) at Fraunhofer IGD. He holds a PhD in Computer Science (2000) and a diploma (1992) from TU Darmstadt. His research focuses on geometry modeling/processing, 3D interaction, simulation, and visualization. He leads projects in automotive/ manufacturing industries, coordinating over 200 R&D initiatives. His work emphasizes real-time simulation, CAD-AM integration, and GPU-based algorithms. Education: PhD in Computer Science (TU Darmstadt, 2000) Key Roles: Department Head (2002–2023), Editor-in-Chief of IEEE CG&A Research interests include graded multi-material CAD, iso-geometric analysis, and interactive design tools. He has authored/co-authored 200+ papers (h-index 25), focusing on fields like real-time rendering, mesh processing, and Industry 4.0 applications. Recent articles highlight trends in GPU-accelerated simulation, digital twin technologies, and metaverse infrastructure. His work bridges academia and industry, addressing challenges in additive manufacturing and virtual prototyping. Students advised: 6 doctoral/master’s students (e.g., Daniel Ströter, Christian Altenhofen) Key Projects: GraMMaCAD, CloudiFacturing, and Industry 4.0 studies He chairs conferences like VAST and serves on editorial boards for journals including IEEE CG&A and Applied Sciences.

Yuan-Shin LeeView profile

Professor

• Bio-medical manufacturing
• CAD/CAM/CAE integration
• 5-axis sculptured surface NC machining
• +7 more

Yuan-Shin Lee is a Professor of Industrial and Systems Engineering at NC State University and Director of the Smart Manufacturing Innovation Center (SMIC), funded by the Department of Energy (DOE). He has been a faculty member since 1995, specializing in manufacturing systems and automation. His research focuses on biomedical manufacturing, CAD/CAM integration, and advanced machining techniques. Lee holds a Ph.D. in Industrial Engineering from Purdue University (1993), an MSIE from Purdue (1990), and a BSME from National Taiwan University (1984). Education: Ph.D., Industrial Engineering, Purdue University, 1993 MSIE, Industrial Engineering, Purdue University, 1990 BSME, Mechanical Engineering, National Taiwan University, 1984 Research interests include bio-medical design, 5-axis machining, computational intelligence, and smart manufacturing. His work bridges mechanical and industrial engineering, emphasizing interdisciplinary solutions for modern manufacturing challenges. Lee has received numerous awards, including the NSF CAREER Award, SME’s Outstanding Young Manufacturing Engineer Award, and Fellowships from IIE and ASME. Publications highlight advancements in medical device design, precision machining, and automation. His leadership in SMIC fosters collaboration between academia and industry to drive U.S. manufacturing innovation. Lee is also an FAA-certified private pilot, reflecting his passion for mechanical systems and problem-solving.

• Mechanical Engineering
• Mechatronics
• Metal Cutting Technology
• +5 more

Аnđeliјa Mitrović is an Associate Professor in the Department of Mehatronics at the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at 65 Svetog Save St. in Čačak (Office No. 136), and she can be contacted via phone (+381 32/302-792) or email (andjelija.mitrovic@ftn.kg.ac.rs). Education PhD in Mechanical Engineering (2016) from Faculty of Technical Sciences Novi Sad with dissertation: "Modeling of Cutting Processes" MSc in Information Technology (2010) from Technical Faculty Čačak with thesis: "Implementation of Virtual Environment in MOODLE LMS for Collaborative Learning of 3D Modeling" Diploma in Mechanical Engineering (1996) from Faculty of Mechanical Engineering Belgrade Diploma in Technique and Informatics (2006) from Technical Faculty Čačak Research Focus Her research spans mechanical engineering with emphasis on metal cutting processes, CAD/CAM systems, and manufacturing technology. She has significant expertise in finite element analysis of machining operations, thermal modeling in cutting processes, and the development of virtual learning environments for engineering education. Recent work integrates AI techniques for process optimization. Publication Trends Her 15 most recent publications (2014-2024) show strong focus on computational modeling of manufacturing processes, particularly thermal analysis in milling/turning operations using FEM. Since 2018, she has increasingly explored educational applications of virtual reality and 3D environments. Recent works incorporate machine learning for predictive modeling in machining. Professional Experience 2021-present: Associate Professor, Faculty of Technical Sciences Čačak 2017-2020: Professor of Vocational Studies 2014-2017: Lecturer 2011-2014: Assistant Professor 2006-2011: Professional Associate 2000-2003: Tool Design Engineer at Cutting Tools Factory Čačak 1997-2004: Mechanical Engineering Professor at various technical schools

Nicholas VillaniView profile

Assistant Professor

• Digital Manufacturing
• Design Engineering
• Computer-Aided Design (CAD)
• +3 more

Nicholas Villani is an Assistant Professor in the Department of Industrial Technology and Management at Illinois Institute of Technology. His role combines academic instruction with industry outreach as the Outreach & Industry Liaison. Education : M.A.S. in Industrial Technology and Operations (Sustainability Specialization) and B.A.C. in Industrial Technology and Management, both from Illinois Tech (2016). Research Interests : Digital manufacturing and design, focusing on Computer-aided design (CAD) Computer-aided manufacturing (CAM) Computer numerical control (CNC) machining Contact : Located at Technology Park South, Room 4004. Office hours: Monday, Wednesday, Thursday (10 a.m.-6 p.m.).

• Mechanical Engineering
• CAD/CAM
• Process Planning
• +7 more

Prof. Hakkı ESKİCİOĞLU is a Professor at the Faculty of Engineering, Department of Mechanical Engineering at İzmir University of Economics since May 2015. He previously served at Middle East Technical University (METU) from 1982 until his retirement in 1991, advancing through ranks from Assistant Professor (1982–1984) to Associate Professor (1984–1991) and eventually Full Professor (1991–retirement). His research focuses on CAD/CAM, Process Planning, Machine Tools, Numerical Control, and Cutting Optimization. Education: B.Sc. (1973), M.Sc. (1975) from METU Mechanical Engineering; Ph.D. (1981) from University of Manchester Institute of Science and Technology (UMIST), Machine Tools Division. He conducted research at Hannover University (1988–1989) under the Alexander Von Humboldt Foundation. Teaching: Courses include Manufacturing Technologies (ME 204), Computer Aided Design and Manufacturing, Numerically Controlled Machine Tools (ME 420), and Engineering Management. Recent courses span 2015–2025, emphasizing multidisciplinary engineering projects and automation. Awards: Recipient of the Alexander Von Humboldt Scholarship (1987–1988) and Ministry of Education Ph.D. Scholarship (1977–1978). Authored Sayısal Kontrol ve Takım Tezgahları (2010), published by the Chamber of Mechanical Engineers. Additional Workshops: Delivered seminars on Computer-Aided Process Planning and CNC Controller Structures (2016–2017).

Hsi-Yung FengView profile

Professor

• CAD/CAM/CAI
• Computer-Aided Design
• Computer-Aided Manufacturing
• +5 more

Hsi-Yung Feng is a Professor and Department Head in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. His academic leadership spans both research and administration within one of Canada's premier engineering institutions. His educational background includes a B.S. from National Taiwan, and M.S. and Ph.D. degrees from Ohio State University. He is a Professional Engineer (P.Eng.) and a Fellow of the American Society of Mechanical Engineers (FASME). Dr. Feng's research focuses on CAD/CAM/CAI (Computer-Aided Design, Manufacturing, and Inspection) systems, with particular emphasis on highly flexible and direct CAD modeling techniques, multi-axis CNC machining processes, and computational tools for 3D printing and laser scanning applications. His work bridges theoretical computational geometry with practical manufacturing solutions. His recent publications demonstrate a consistent focus on advancing geometric modeling, machining simulation, and quality inspection methodologies. The research shows progression from fundamental geometric algorithms toward increasingly sophisticated applications in manufacturing automation, with strong emphasis on practical implementation challenges in CNC machining and additive manufacturing. Among his professional recognitions, Dr. Feng received the prestigious Killam Teaching Award from the University of British Columbia in 2014, highlighting his excellence in engineering education. Killam Teaching Award, University of British Columbia, 2014 As Department Head, Dr. Feng oversees academic programs, faculty development, and strategic planning for mechanical engineering education and research. His leadership extends to directing the CAD/CAM/CAI Laboratory, which serves as a hub for advanced manufacturing research, focusing on developing innovative computational methods for modern manufacturing challenges. The CAD/CAM/CAI Laboratory, under Dr. Feng's direction, focuses on developing innovative computational methods for manufacturing challenges, particularly in multi-axis machining, 3D printing optimization, and quality inspection systems. Current research includes multi-axis CNC machining simulation, generic postprocessor development, and optimal printing paths with adaptive infill structures for 3D printing.

Brian GoodacreView profile

Associate Professor

• Prosthodontics
• Digital Dental Technology
• CAD-CAM Dentistry
• +4 more

Brian Goodacre, DDS, MSD serves as an Associate Professor at the Loma Linda University School of Dentistry in the General Dentistry department. His career focuses on advancing digital dental technology and CAD-CAM applications in prosthodontics, with over 29 publications spanning 2013–2024. Education : DDS, Loma Linda University (May 1, 2013) MSD, Loma Linda University (Dec 1, 2017) BS, Walla Walla University (Jun 1, 2009) Research Interests include 3D printing in denture fabrication , accuracy of digital implant workflows , and comparative analysis of dental materials . He has pioneered studies on digital impression systems , additive manufacturing , and removable partial denture frameworks . Article Trends highlight his work on CAD-CAM dentures , intraoral scanning , and biomechanical evaluation of implant systems , often in collaboration with colleagues like Charles Goodacre and Kan JYK. Recent studies (2024) explore 3D printing precision and occlusal vertical dimension transfer .

Aristomenis AntoniadisView profile

Professor

• Manufacturing Technologies
• Reverse Engineering
• CAD/CAM/CAE
• +5 more

Aristomenis Antoniadis is a Professor in the Department of Production Engineering and Management at the Technical University of Crete. His academic journey includes a Mechanical Engineering Diploma from Aristotle University of Thessaloniki (1984) and a PhD in Mechanical Engineering from the same institution (1989). He has held roles such as Lecturer at the University of Thessaly (1991–1994) and Professor at Technical Educational Institutes of Serres & Crete (1994–2008). His research focuses on Manufacturing Technologies, Reverse Engineering, CAD/CAM/CAE, and Bioengineering. He has authored 7 books and over 90 publications across international journals and conferences. Key research areas include laser engraving processes, finite element modeling, 3D printing, and simulation tools for machining operations. His work on gear manufacturing, tool wear prediction, and augmented reality training interfaces demonstrates interdisciplinary innovation. He has contributed to over 30 research projects as a participant or scientific manager. His laboratory, Production Systems, explores cutting-edge technologies in manufacturing systems and sustainable production methods. Antoniadis is affiliated with the Technical University of Crete’s School of Production Engineering and Management. He has advised numerous students and collaborates extensively on industrial applications, including photovoltaic system optimization and cultural heritage digitization projects. His work bridges academic research with practical industrial solutions, emphasizing both innovation and educational outreach through serious games and virtual training environments.