جست‌وجوی استاد و پژوهشگر

Sebastian Stemmlerمشاهده پروفایل

پژوهشگر

• Control Engineering
• Industrial Automation
• Model Predictive Control
• +۷ مورد دیگر

Dr.-Ing. Sebastian Stemmler is a Managing Chief Engineer and Head of Industrial Systems and Production Systems at the Institute of Automatic Control (IRT), RWTH Aachen University, within the Faculty of Mechanical Engineering. He is actively engaged in research and development in industrial automation and control systems. His research interests focus on advanced control methodologies in industrial settings, particularly: Machine learning in industrial control engineering Control systems for digital and self-optimizing production systems Model-based Predictive Control (MPC) Iterative Learning Control (ILC) His recent publications (2021–2025) demonstrate a strong trend in applying MPC, ILC, and data-driven methods to injection molding, milling, and weaving processes. These works emphasize precision control, process optimization, and adaptation to material variability, especially with recycled plastics. His research bridges theoretical control strategies with practical industrial applications. His scientific achievements include being part of the research group that received the 2024 Cold Rolling Future Prize . He has co-authored numerous high-impact journal and conference papers, often in collaboration with leading researchers like Dirk Abel and Christian Hopmann. Stemmler supervises and collaborates on various industrial research projects, contributing significantly to advancements in smart manufacturing. He is involved in initiatives such as innocam.NRW and has contributed to research on AI in production and patient care. His work is supported by strong industry and academic collaborations. He leads the Industrial Systems and Production Systems research group at IRT, focusing on developing and implementing intelligent control solutions for complex manufacturing systems.

William J. Turkelمشاهده پروفایل

استاد

• Computational History
• Big History
• Science and Technology Studies (STS)
• +۳ مورد دیگر

William J. Turkel is a Professor of History at The University of Western Ontario, Canada, and a member of the Royal Society of Canada's College of New Scholars. His research focuses on computational history, science and technology studies, and disability studies. He holds a PhD from MIT (2004) and leads the History Department's Fab Lab, equipped with advanced fabrication tools. Turkel's work includes reverse-engineering historical technologies, digital exhibit design, and mentoring over 20 students. He has authored books like Spark from the Deep and The Archive of Place , and his open-source textbook Digital Research Methods with Mathematica is widely used. Awards include the Western Award for Technology-Enhanced Teaching (2021) and SSHRC funding for NiCHE (2004–14). Education: PhD, MIT (2004) Research Interests: Computational methods, big history, modular synthesis, disability studies, and astrobiology. His lab explores tangible computing, 3D printing, and historical experimentation. Articles Overview: Recent work spans digital humanities tool development, historical computing analysis, and music-pattern recognition via machine learning. Key themes include bridging computational methods with historical inquiry. Awards: Royal Society membership (2018), Western University award (2021), and SSHRC leadership (2004–14). Advising & Grants: Supervised over 20 students and postdocs, including Devon Elliott and Ian Milligan. Collaborates with Tim Hitchcock, Edward Jones-Imhotep, and others on projects like MK ULTRA analysis and exoskeleton patent studies. Labs/Teams: The History Department Fab Lab includes 3D printers, CNC tools, and electronics prototyping. His lab designs interactive exhibits and tangible artifacts to explore historical phenomena.

Wei Wangمشاهده پروفایل

دانشیار

• Manufacturing Technology
• Mechanical Engineering
• Automation
• +۳ مورد دیگر

Wei Wang is an Associate Professor Educator at the University of Cincinnati's Department of Mechanical Engineering within the College of Engineering. He holds a Ph.D. in Manufacturing Technology and Automation from Shanghai JiaoTong University (2013). With eight years of teaching experience in Mechanical Engineering, his research focuses on error compensation in CNC machinery, wind turbine performance optimization, and prognostics for manufacturing systems. His work integrates statistical models like Gaussian mixtures and neural networks to enhance machine tool accuracy and reliability. Key research contributions include developing smart prognostics for wind turbines, real-time error compensation techniques, and novel similarity metrics for assessing machine performance. He has published extensively in journals like Renewable Energy and Proceedings of the IMechE , with a focus on advancing manufacturing precision and renewable energy systems.

Jie Wuمشاهده پروفایل

استاد

• Networking
• Distributed Systems
• Edge Computing
• +۵ مورد دیگر

Jie Wu is the Laura H. Carnell Professor of Computer and Information Sciences at Temple University, leading the Center for Networked Computing (CNC). His expertise spans networking, distributed systems, edge computing, and cybersecurity. He holds IEEE and AAAS Fellowships, reflecting his impactful contributions to research and academia. Awarded numerous best paper accolades and leadership roles in major conferences like INFOCOM and ICDCS, Wu has authored influential books on edge computing, mobile crowdsourcing, and network security. His research focuses on federated learning, IoT, and blockchain, addressing challenges in privacy, efficiency, and scalability. Wu actively organizes conferences (e.g., CCGrid 2024 General Co-Chair) and chairs special issues in top journals. His work bridges theoretical advancements with practical applications in edge computing, vehicular networks, and healthcare systems.

Matthias Hermesمشاهده پروفایل

استاد

• Manufacturing technology
• Forming technology
• Metal processing
• +۷ مورد دیگر

Prof. Dr.-Ing. Matthias Hermes is a Professor of Manufacturing and Forming Technology at the South Westphalia University of Applied Sciences in Meschede, Germany. He leads the Laboratory for Forming and Joining Technology and serves as managing director of the Research Center for Industrial Metal Processing (ReCIMP). His work focuses on developing innovative manufacturing processes for lightweight structures, particularly in tube, profile, and sheet metal forming. Hermes' educational background includes: 1997-2000: Toolmaking apprenticeship 2000-2005: Mechanical Engineering studies at FH Soest and TU Dortmund, graduating with a Diplomingenieur degree His research interests center on flexible manufacturing technologies for lightweight components, with particular expertise in incremental forming processes, 3D bending of tubes and profiles, and hydroforming techniques. Hermes has pioneered several innovative processes including incremental profile forming and torque superposed spatial bending, which enable the production of complex geometries from high-strength materials that were previously unattainable. His work bridges the gap between academic research and industrial application, with numerous patents and technology transfers to manufacturing companies. Hermes' scientific contributions demonstrate a consistent focus on solving practical manufacturing challenges through innovative process development. His recent work has emphasized quality standards for profile bending, high-speed hydroforming technologies, and computational approaches to springback compensation. The research spans fundamental process understanding to industrial implementation, with strong connections to automotive and metal processing industries. His significant scientific achievements have been recognized with numerous awards: Stahl-Innovationspreis 3. Preis (2015) for "Incremental Profile Forming" Best Innovative Paper at IEEE EDUCON 2013 Stahl-Innovationspreis 2. Preis (2012) for "3D Profile Bending with Inductive Heating" Best Paper Award at International Tube Association conference (2012) Best Poster Award at International Conference on Plasticity (2011) Manus-Award 1. Platz (2009) for innovative use of polymer bearings NoAE-Award (2009) for "Incremental Tube Forming" Hochschulpreis NRW 3. Preis "Patente Erfinder" (2009) VDW-Preis (2003) for diploma thesis Hermes has been actively involved in technology transfer through his leadership of the ReCIMP research center, collaborating with numerous industrial partners including Transfluid Maschinenbau, Vossloh Fastening Systems, FWB Bröckelmann, Welser Profile, and Almecon Technology. His laboratory provides services ranging from feasibility studies and prototype development to process simulation and specialized training programs in tube and profile forming, sheet metal forming, and thermal and forming-based joining techniques. The Laboratory for Forming and Joining Technology under Hermes' direction features comprehensive equipment for bending technology (CNC tube and profile bending machines, 3-roll bending machine), profile forming technology (CNC orbital tube forming machine, 4000 bar internal high-pressure forming test stand), measurement and simulation (tactile and laser-based measurement arm, Abaqus FEM software), sheet metal forming (1000 kN press), and all relevant joining processes (MIG, MAG, TIG, Plasma, UP, Laser, Spot, Clinching, etc.). This facility enables end-to-end research from process development through to production-ready implementation.

• Production Engineering
• Manufacturing Systems
• Simulation-Based Optimization
• +۵ مورد دیگر

Kaveh Amouzgar is an Associate Professor in Production Engineering at the Department of Engineering, School of Engineering Science, University of Skövde. With a doctoral thesis completed in 2018 titled 'Metamodel Based Multi-Objective Optimization with Finite-Element Applications,' he has established himself as a significant contributor to the field of production engineering and optimization. Dr. Amouzgar's research primarily focuses on simulation-based optimization techniques, multi-objective optimization approaches, and the integration of augmented reality in manufacturing environments. His work bridges theoretical optimization methods with practical industrial applications, particularly in CNC machining, energy efficiency in manufacturing, and Industry 4.0 technologies. His research demonstrates a consistent trajectory of increasing complexity and industrial relevance since his doctoral work. His publication record reveals a strong trend toward interdisciplinary research at the intersection of manufacturing engineering, computer science, and human factors. Recent work (2023-2025) increasingly incorporates extended reality (XR) technologies, machine learning applications, and sustainability considerations into traditional manufacturing optimization problems. This evolution reflects the broader shift in production engineering toward digitalization and human-centered smart manufacturing systems. Dr. Amouzgar maintains extensive collaborations with researchers at the University of Skövde, particularly with Amos H.C. Ng, and has co-authored numerous publications with international partners. His work appears in reputable journals including Procedia CIRP, Journal of Manufacturing Systems, IEEE Access, and International Journal of Production Research, demonstrating both academic rigor and industrial relevance. At the University of Skövde, Dr. Amouzgar appears to be actively involved in research projects related to smart manufacturing, digital transformation of production systems, and optimization methodologies. His recent publications suggest involvement in learning factory environments and research initiatives focused on Industry 4.0 implementation in manufacturing contexts.

• Human-Computer Interaction
• Physical Input Devices
• 3D Printing
• +۵ مورد دیگر

Valkyrie Savage is an Assistant Professor (Tenure Track) in the Human-Centred Computing research section at the Department of Computer Science, University of Copenhagen (Faculty of Science). She is based at Sigurdsgade 41, 2200 København N. Her research focuses on the intersection of physical input devices, digital fabrication, and sensing technologies, with a particular emphasis on creating interfaces that adapt to specific user needs, contexts, and tasks. Savage's research interests center around physical input devices (such as mice, game controllers, and surgical tools) as bridges between humans and computers. She explores how sensing (digitizing physical information) and fabrication (physicalizing digital information) interact, with substantial work conducted in fabrication labs equipped with 3D printers, laser cutters, electronics tools, and CNC mills. Her methodology emphasizes systems research where projects produce functional, novel systems that users can interact with directly. Her work often involves creative fabrication projects, including 3D printing combined with crochet, underwater 3D printing applications, and laser-cut slot-together circuits. Analysis of her recent publications reveals a strong focus on advancing digital fabrication techniques, particularly in integrating electronics with physical structures, developing novel sensing approaches, and creating interactive systems. Her work spans from fundamental material science (wood filament pyrography, multilayer laser-cuttable materials) to applied human-computer interaction (tactile interfaces for maritime automation, adaptive sensing systems). A recurring theme is the development of techniques that allow for more integrated, functional, and context-aware physical-digital interfaces. Savage's research output demonstrates significant contributions to the fields of human-computer interaction, digital fabrication, and physical computing, with publications appearing in top-tier conferences including CHI, UIST, TEI, and DIS. Her work bridges theoretical advances with practical implementations, often resulting in novel tools, techniques, and systems that push the boundaries of what's possible in human-centered computing.

Abby Patersonمشاهده پروفایل

مدرس ارشد

• Additive Manufacturing
• Computer-Aided Design (CAD)
• Medical Applications
• +۷ مورد دیگر

Dr. Abby Paterson is a Senior Lecturer in Industrial Design, CAD, and Digital Fabrication at Loughborough University’s School of Design and Creative Arts. Her expertise spans 3D scanning, Computational Design, Additive Manufacturing (AM), and digital fabrication techniques for medical and consumer applications. She leads modules focusing on digital design, data acquisition, and automated fabrication, including CNC milling and AM. Abby holds a BSc in Product Design and Technology (2008) and a PhD in 3D Scanning and AM for medical applications (Loughborough University, 2012). She previously served as a lecturer at the University of Manchester’s School of Materials, where she specialized in materials science and metrology for AM. She returned to Loughborough in 2014, continuing her research on digital design for customized medical and consumer products. Her research focuses on AM design rules, sustainability in product repair, and medical applications such as custom wrist splints. Notable achievements include securing a Royal Academy of Engineering Industrial Fellowship (2017), which developed industrially relevant teaching materials, and Versus Arthritis funding to advance CAD software for hand therapists. She also received a Loughborough Teaching Innovation Award (2015) for eye-tracking research in online learning. Abby’s consultancy work, through Loughborough University Enterprises Ltd., involves developing algorithms for Computational Design software (e.g., Rhinoceros/Grasshopper) to automate complex workflows, supporting projects like Transport for London’s direct vision standards for trucks. She currently serves as Deputy Director of Doctoral Programmes, supporting PhD researchers, including industrially sponsored projects. Her work bridges academia and industry, emphasizing practical applications of digital design tools. Key contributions include a software plugin for splint design and volumetric approaches to truck safety standards, demonstrating her commitment to impactful, cross-disciplinary innovation.

Suzana Petrović Savićمشاهده پروفایل

دانشیار

• Production Engineering
• Manufacturing Processes
• Tribology
• +۳ مورد دیگر

Suzana Petrović Savić is an Associate Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac, Serbia. Her work integrates advanced manufacturing processes, materials science, and biomedical engineering with computational techniques like neural networks and machine learning. Her research focuses on optimizing machining processes, tribological behavior analysis, and biomechanical applications such as gait analysis and prosthetic design. Notable areas include abrasive waterjet machining, temperature prediction in milling, and AI-driven diagnostics for respiratory and musculoskeletal disorders. She also contributes to the development of smart healthcare technologies and IoT-enabled quality management systems. Recent studies emphasize interdisciplinary approaches, combining experimental mechanics with data-driven modeling. Her work spans from material characterization (e.g., dental ceramics, polymers) to clinical applications in orthopedics and neonatal care. Despite no awards listed, her publications reflect sustained contributions to production engineering and biomedical innovation. No formal advisee list or grant details are provided, but her involvement in laboratory activities related to the Faculty’s research centers is implied through her departmental affiliation.

Recep DEMİRSÖZمشاهده پروفایل

دانشیار

• Material Design And Behavior
• Production Technologies
• Tribology
• +۴ مورد دیگر

Assoc. Prof. Dr. Recep DEMİRSÖZ is an academic at Karabük University's Faculty of Engineering, Department of Mechanical Engineering. He holds a Doctorate from Karabük University (2018) and prior degrees from Yıldız Technical University (B.Sc.) and Istanbul Technical University (M.Sc.). His research focuses on material design, tribology, and production technologies. He has advised 13 postgraduate students, with recent topics including erosion wear of stainless steels and conveyor belt splicing methods. Key research areas include wear resistance of alloys, lubrication optimization, and additive manufacturing. He leads projects on slurry erosion, nano-fluids, and steel composite drilling. Over 55 publications span journals like Journal of Materials Research and Technology and Tribology International , with a focus on tribological characterization and machining efficiency. Holds administrative roles including Director of Institute at Karabük University. Active in conferences such as the International Iron & Steel Symposium and contributes to academic courses in transport systems and manufacturing processes.

Mladen Furtulaمشاهده پروفایل

دانشیار

• Woodworking Machinery
• Energy in Wood Industry
• Occupational Safety
• +۳ مورد دیگر

Mladen Furtula is an Associate Professor at the Faculty of Forestry, University of Belgrade , Department of Wood Processing. His research focuses on woodworking machinery , energy in the wood industry , occupational safety , and wood biomass utilization . B.Sc. and Ph.D. from the Faculty of Forestry, University of Belgrade. Employment history: Assistant-Trainee (2003), Assistant (2011), Assistant Professor (2014), Associate Professor (2020). His research interests include: Development and optimization of CNC woodworking machines and reconfigurable systems . Energy efficiency and CO2 emission reduction in wood pellet production. Acoustic emission analysis for cutting force and surface roughness monitoring. Thermal modification of wood and its impact on color and surface properties . Publication trends highlight his work on wood biomass for decarbonization, precision in CNC machining , and sustainable energy strategies in the wood industry. He has contributed to conferences and journals like BioResources , Thermal Science , and Wood Research . He teaches courses on internal transport , energy in wood industry , and numerically controlled machines , with a focus on professional practice and safety.

Srdjan Svrzicمشاهده پروفایل

دانشیار

• Wood Processing
• Wood-based Composites
• Acoustic Analysis
• +۵ مورد دیگر

Srdjan Svrzic , an Associate Professor at the Faculty of Forestry, University of Belgrade , is a prominent researcher in wood processing, focusing on acoustic analysis, unconventional machining techniques, and energy efficiency. His work spans ionizing radiation effects on wood composites, vibro-acoustic diagnostics, and automation systems. B.Sc. (1999), M.Sc. (2004), PhD (2010) from the Faculty of Forestry Teaching areas include control technology, energy systems, and automation in wood processing Research keywords: Wood Processing, Acoustic Analysis, Radiation Effects, Automation . His recent publications (2024–2021) explore machine learning for noise diagnostics, energy optimization in Serbian wood industries, and rheological models for particleboard creep. He has also published on CNC machine precision, microwave-assisted drying, and surface roughness prediction. His textbooks cover automation in wood product manufacturing and physics entrance exam preparation.

• Computer Engineering
• Fault-Tolerant Computing
• Asynchronous Logic
• +۷ مورد دیگر

Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.

Charlie C.L. Wangمشاهده پروفایل

استاد

• Digital Manufacturing
• Computational Design
• Additive Manufacturing
• +۳ مورد دیگر

Prof. Charlie C.L. Wang is a Professor of Smart Manufacturing at the University of Manchester, holding an EPSRC Fellowship in Field Computation Based Kernel for Vector 3D Printing. Previously, he served as Professor and Chair of Advanced Manufacturing at Delft University of Technology (2016) and held academic roles at the Chinese University of Hong Kong from 2003. He also held a visiting position at the University of Southern California (2011). His expertise spans Digital Manufacturing, Additive Manufacturing, Soft Robotics, and Geometric Computing. He holds a B.Eng. from Huazhong University of Science and Technology (1998) and a Ph.D. from HKUST (2002). Research Interests: His work focuses on computational design, additive manufacturing techniques, soft robotics kinematics, and mass personalization. He contributes to UN Sustainable Development Goals through innovations in smart manufacturing and sustainable technologies. Key areas include 3D printing optimization, bioprinting systems, and geometric computing for robotics. Key Projects: Current projects include SORO-MADE (soft robotic mannequin design), decomposition-based process planning for CNC machining, and automated knitting code generation. He leads initiatives in multi-axis additive manufacturing and field computation for 3D printing. Awards: Notable honors include the ASME CIE Excellence in Research Award (2016), Fellow of ASME (2013), and ISSMO/Springer Prize (2019). He has received nine Best Paper Awards and multiple teaching and project-oriented accolades. Grants & Activities: Active in research grants totaling over £multi-million. Engages in invited talks on topics like soft robotics and computational design, and chairs the Solid Modeling Association’s Executive Committee (2021–2024).

Muhammad Ismailمشاهده پروفایل

دانشیار

• Cyber-physical Security
• Quantum Networks and Security
• AI-assisted Cybersecurity
• +۹ مورد دیگر

Muhammad Ismail is an Associate Professor and Director of the Cybersecurity Education, Research, and Outreach Center (CEROC) at the Computer Science Department of Tennessee Tech University's Faculty of Engineering. He has over 12 years of experience from institutions like Texas A&M University at Qatar, University of Waterloo, and Ain Shams University. His research focuses on cyber-physical security , quantum networks , AI-assisted cybersecurity , smart grids , blockchain , and machine learning . He leads projects integrating graph neural networks and quantum cryptography for resilient infrastructure. Recent publications analyze 6G IoT resource allocation , FDIA detection in smart grids , LiFi authentication , and blockchain for energy systems , reflecting his interdisciplinary approach. Best paper awards at IEEE ICC 2014, IEEE Globecom 2014, SGRE 2015/2024, Green 2016 IEEE TCGCN best paper at IEEE ICC 2019 IEEE Intelligent Systems 2020 award He teaches undergraduate and graduate courses and serves as Associate Editor for IEEE IoT Journal, IEEE Transactions on Vehicular Technology, and others. He contributes to IEEE flagship conferences as TPC member and reviewer. The CEROC under his leadership develops hands-on cybersecurity programs, including a 2024 quantum network initiative in Tennessee.