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 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
Mehmet Coşar is an Assistant Professor at Canakkale Onsekiz Mart University, Faculty of Fine Arts, Department of Ceramics. He holds a Proficiency in Art degree from Dokuz Eylul University (2021) and a Master's in Ceramic Main Art Branch from Canakkale Onsekiz Mart University (2008). His research focuses on ceramics and glasswork, plastic arts, with special emphasis on Trojan cultural heritage, digital ceramic design, and traditional-to-contemporary transitions. Education: PhD (ongoing), Proficiency in Art (2021), MA (2008), BA (2005) from Canakkale Onsekiz Mart University His work integrates historical ceramic analysis with modern design, particularly in Trojan ceramic style applications , whistling ceramic innovation , and digital design techniques . Recent projects explore ceramic mosaics for public spaces and cross-cultural collaborations with Japanese institutions. Scientific awards include: 2007: Third Prize, 44th International Canakkale Trojan Festival Ceramic Competition 2006: Second Prize, Canakkale Original Ceramic Design Competition 2005: Third Prize, 'Canakkale Ceramics from Old to New' competition He leads ceramic workshops, contributes to international exhibitions, and participates in interdisciplinary research projects focused on local identity and cultural preservation.
Vaso Manojlović is an Associate Professor at the Department of Metallurgical Engineering, Faculty of Technology and Metallurgy, University of Belgrade. He was elected to his current position on October 10, 2022, specializing in Metallurgy with a strong focus on computational applications in metal casting and processing. His research spans multiple specialized areas within metallurgical engineering: Computer-aided casting simulation and gating system design Physico-chemical processes at metal-mold interfaces Iron and steel production metallurgy Powder metallurgy techniques Non-ferrous and rare metals processing Machine learning applications for material property prediction Dr. Manojlović has pioneered the integration of advanced computational methods with traditional metallurgical processes, particularly in applying artificial intelligence to solve industrial casting challenges and develop biocompatible materials for medical applications. He maintains an extensive teaching portfolio across all academic levels, instructing courses ranging from fundamental metallurgical theory to specialized topics like rapid prototyping in foundry and computer applications in casting design. His academic mentorship includes supervising multiple master's theses focusing on cutting-edge intersections of metallurgy and computational science: Olivera Dragutinović (2023): 'Investigation of properties of Co-Cr-W and Co-Cr-Mo alloys coated with hydroxyapatite for dental implants' Gordana Marković (2022): 'Prediction of mechanical properties of biocompatible titanium alloys using machine learning' Ognjen Stanković (2024): 'Analysis and detection of defects in cast parts using advanced machine learning methods' Dr. Manojlović's work exemplifies a successful fusion of traditional metallurgical expertise with modern computational approaches, addressing both industrial manufacturing challenges and biomedical material development needs.
Dr. Rui Ramos Cardoso serves as a Senior Lecturer in Aerospace Engineering and Postgraduate Research (PGR) Director at Brunel University London. He is affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His academic leadership extends to serving as Course Director for Undergraduate Aerospace Engineering programs. Dr. Cardoso's research expertise spans multiple areas of computational mechanics and structural analysis: Computational Mechanics for Structural Analysis Finite Element Method and Meshless Methods IsoGeometric Analysis with Non-Uniform Rational B-Splines (NURBS) Modelling of Plasticity, Crystal Plasticity and Multi-Scale Modelling Modelling of Metal Forming Processes, Additive Layer Manufacturing, and Cold Spray Processes Development of Innovative Numerical Methods His teaching portfolio includes fundamental courses in Solid Body Mechanics, Aerodynamics, Aircraft Design, and Aircraft Structures, reflecting his expertise in aerospace engineering principles and applications. Dr. Cardoso's research publications demonstrate a consistent focus on advancing computational methods for structural analysis, with particular emphasis on aircraft structures, material behavior under various conditions, and innovative numerical approaches to engineering problems. His work spans theoretical developments, practical applications, and validation through experimental research. Dr. Cardoso actively supervises PhD students on research topics including: Modelling of texture evolution during production of high strength 6xxx aluminium alloys Simulation and experimental research of different bending processes The scaling of nonlinear structural dynamics and aeroelastic systems He is associated with the IMM research group and maintains strong collaborative relationships with researchers such as Mayo Adetoro, Hamid Bahai, and Mian Zhou, demonstrating his active engagement in the academic community.
Prof. Dr.-Ing. Hans-Georg Enkler is a faculty member at Furtwangen University, specializing in engineering applications of virtual reality and mechatronic systems. His research focuses on VR simulations for medical training, haptic feedback systems, and product development methodologies. With expertise in Virtual reality-based surgical training Haptically enabled simulation systems Product generation engineering Medical device development Digital education technologies , Enkler bridges mechanical engineering with immersive learning environments. Recent publications demonstrate a clear trend toward VR-based medical training platforms (2024-2025) and advanced simulation methodologies (2022-2023), particularly emphasizing haptic feedback integration and ergonomic assessment in virtual environments . While no specific scientific awards are documented in this dataset, Enkler's work has been continuously funded through institutional grants and development projects since 2006. His research group has produced numerous publications covering microsystem validation, simulation processes, and mechatronic system design. Enkler's laboratory at Furtwangen University focuses on VR simulation development Medical device prototyping Simulation-aided design Advanced haptic system engineering Digital product development Micro-mechanical system optimization , maintaining strong industry and academic collaborations.
