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Prof. Dr. Peter Saile is a faculty member at Pforzheim University , affiliated with the College of Engineering and the Department of Industrial Engineering . His work focuses on logistics and industrial engineering topics.
دانشیار
Associate Professor Binghao Li leads the MIoT & IPIN Lab at the School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney. He holds a PhD in Spatial Information Systems from UNSW and advanced degrees in Civil and Electrical/Mechanical Engineering from Tsinghua University and Beijing Jiaotong University. Expertise in indoor/outdoor positioning systems Pioneering mine IoT applications Leader in pedestrian navigation research His research spans indoor positioning technologies, satellite navigation, and mining IoT solutions. Key grant projects include: 2021 CRC-P grant ($2m) for underground mine LoRa networks 2020 ARC Research Hub ($5m) for connected sensors 2018 Digital Grid Seed Funding for indoor navigation 2015-2019 ARC Linkage grants for positioning systems Award highlights: 2019 Best Paper & Presentation Awards 2010 VC's Post-Doctoral Fellowship 2004-2005 student research awards He supervises research in indoor positioning and mine IoT, and teaches courses including ENGG1000 Engineering Design and MINE8710 Mine Slope Stability.
پژوهشگر
Achim Wagner is a researcher at the German Research Center for Artificial Intelligence (DFKI) in the Innovative Factory Systems department. His work focuses on integrating advanced technologies into industrial manufacturing through computer vision, robotics, and digitalization. Projects: RAASCEMAN (resilient supply chains), DIMOFAC (digital modular factories) Research Interests: His research spans artificial intelligence , robotics , and human-robot interaction , with applications in manufacturing quality control and automation frameworks. Recent publications highlight his expertise in multi-camera vision systems and gesture recognition technologies. Contact: Email: Achim.Wagner@dfki.de | Phone: +49 631 20575 5237
Yun Jang is a Professor in the Department of Computer Engineering at Sejong University , South Korea. His research spans Data Visualization , Visual Analytics , and Artificial Intelligence applications, with a focus on Spatiotemporal Analysis , Volume Rendering , and Human-Computer Interaction . Ph.D. in Electrical and Computer Engineering, Purdue University (2007) M.S. in Electrical and Computer Engineering, Purdue University (2002) B.S. in Electrical Engineering, Seoul National University (2000) His research interests include: Visual Analytics for Big Data Causal Analysis in Urban Traffic Virtual Reality and Cybersickness Measurement Interactive Volume Rendering EEG and Gaze Data Analysis Recent publications emphasize causal modeling in traffic analysis, volume rendering techniques with CNNs, and AI-driven applications for smart cities. He holds multiple Korean and US patents in traffic analytics, VR systems, and data visualization technologies. Notable scientific awards include the Daeyang Distinguished Professor Award and a Best Poster Award at PacificVis 2020 . He leads the Data Visualization Lab at Sejong University, supported by grants from Korean government agencies and industry partners.
دانشیار
Dr. Marianthi Leon serves as Associate Professor of Collaboration and Digital Innovation within the Department of Engineering, Design and Mathematics at the University of the West of England's Faculty of Environment and Technology. She leads the Smart & Sustainable Infrastructures research group focused on Civil Engineering applications, driving digital transformation across multiple sectors through cutting-edge research initiatives. Her academic credentials include a Dip.-Ing. (Diplom-Ingenieur), MSc, and PhD in Management & Digital Technologies, complemented by professional recognition as a Fellow of the Higher Education Academy (FHEA) and registration with the Architects Registration Board (ARB). Dr. Leon's research program centers on digital innovation for multidisciplinary collaboration, with Digital Twins as the cornerstone technology. Her work bridges the Built Environment industry and emerging sectors through: Digital Twin implementation across healthcare, manufacturing, and infrastructure Advanced Building Information Modeling (BIM) protocols for collaborative design Integration of Industry 4.0 principles in sustainable engineering Disaster management frameworks using multi-stakeholder collaboration 3D acquisition technologies for heritage conservation and asset management Analysis of her 2020-2025 publications reveals a strategic evolution toward cross-sector Digital Twin applications, with increasing emphasis on healthcare robotics, sustainable manufacturing, and pipeline disaster management in Nigeria. Her work consistently addresses real-world implementation challenges in collaboration frameworks and digital transformation. Dr. Leon maintains an active research profile with significant industry networking capacity and a rising track record in securing collaborative R&D funding. Her leadership extends to: Mentoring engineering students through problem-based learning approaches Developing sustainable engineering education curricula Facilitating international research partnerships with UCL, RGU, and European institutions The Smart & Sustainable Infrastructures research team operates at the intersection of civil engineering and digital innovation, with ongoing projects in NHS facilities management, oil pipeline safety, and virtual commissioning of manufacturing systems through strategic collaborations with Politecnico di Milano, Aristotle University of Thessaloniki, and Strathclyde University.
Sebastian Thiede is a Full Professor specializing in Manufacturing Systems , with extensive research contributions to Smart Industry , Sustainable Manufacturing , and Human-Centered Production . His work bridges advanced technologies like Machine Learning , Simulation , and Artificial Intelligence with industrial applications, addressing critical challenges in Circular Economy , Energy Efficiency , and Factory Decarbonization . Research focuses on Battery Manufacturing , Edge Computing , and Real-Time Locating Systems (RTLS) . Key methodologies include Digital Twinning , Surrogate Modeling , and Data-Driven Process Optimization . Recent publications highlight trends in Autonomous Sensor Data Analysis (2025), Cyber-Physical Architectures for reconfigurable systems, and Circular Transition Methodologies for manufacturing. His work often integrates Human Factors with Smart Automation , emphasizing environmental and economic impacts.
Professor Jürgen Wilhelm Böse is a Professor of Logistics at the Faculty of Commerce and Social Work, Ostfalia University of Applied Sciences, Suderburg Campus. He has held this position since 2018 and is responsible for teaching and research in logistics, particularly focusing on port terminal planning and operations. His office is located in Building C, Room 106.2, Suderburg. Professor Böse's academic journey began with studies in Industrial Engineering at the Technical University of Braunschweig (1991-1997), followed by research assistant work at the same institution (1997-2002). He then gained industry experience as Branch Manager at LOGIS.NET (2003-2005) and Senior Consultant at HPC Hamburg Port Consulting (2005-2010), before returning to academia as Senior Engineer at the Institute for Maritime Logistics, Hamburg University of Technology (2010-2018). His research focuses on planning complex logistics systems, particularly seaport container terminals. His work encompasses developing initial system solutions based on business experience and spreadsheet calculations, using discrete event-oriented simulation for validation and optimization, and coupling simulation tools with Artificial Intelligence for automated system optimization. This approach typically yields qualitatively better results at significantly lower costs compared to manual expert use of these tools. His research interests include: Planning of complex logistics systems, especially seaport container terminals Discrete event-oriented simulation for logistics optimization Integration of production and logistics systems in value creation networks Artificial Intelligence applications in logistics and port operations Truck arrival forecasting and resource planning at logistics nodes Sustainable port operations and green terminal planning Professor Böse has made significant contributions to the field through his publications, most notably as editor of the 'Handbook of Terminal Planning' (Springer, 2nd edition 2020). His work spans numerous journal articles, conference papers, and research project reports focused on port logistics, terminal planning, and simulation applications. He has received research funding for projects including: Lkw-Wartezeitprognose für logistische Knoten (Truck Wait Time Forecasting for Logistics Nodes) IMOTRIS (Intermodal Transport Routing Information System) ISETEC II (Location Systems in Port Handling) NETRALOG (Bio-analog algorithms for horizontal transport control) As an educator, Professor Böse teaches regular courses in Project Management, Supply Chain Management, Transport Management, and Warehousing. He also offers specialized courses on logistics simulation and quantitative methods. In addition to his teaching duties, he serves in several administrative roles including as Research Commissioner and Internationalization Commissioner for Faculty H.
Prof. Dr.-Ing. Udo Triltsch serves as Dean of the Faculty of Mechanical Engineering at Ostfalia University of Applied Sciences, where he leads the Institute IPT (Institute for Production Technology and Management). His academic profile combines administrative leadership with active teaching in Manufacturing Metrology, Digital Production, and Project Management across bachelor's and master's programs in Mechanical Engineering disciplines. Contact details include Building H, Room 115b, telephone +49 5331 939-45620, and email u.triltsch@ostfalia.de, with office hours arranged via Stud.IP. Research focuses on the digital transformation of manufacturing through Manufacturing Metrology and Information Technology in Production. Key investigations include Digital Twin implementation using physics-based simulations, Process Mining for shopfloor optimization, and Smart Factory applications demonstrated through practical case studies like commercial coffee machine monitoring. His work bridges theoretical frameworks with industrial implementation, particularly addressing challenges faced by small and medium enterprises in adopting Industry 4.0 technologies. Analysis of publications from 2017-2024 reveals evolving research trajectories: early work established foundational Industry 4.0 concepts (robotics, sensor integration), while recent output emphasizes educational frameworks for digital competencies (DiKom Project) and practical implementation strategies. The consistent focus on real-world case studies demonstrates a commitment to applicable research that solves tangible production challenges. Scientific awards are not documented in available sources. However, his active grant-funded projects like DiKom and continuous publication record indicate significant professional recognition within production engineering circles. As an academic supervisor, Prof. Triltsch maintains teaching responsibilities across multiple programs while leading research initiatives. His involvement in the DiKom Project suggests active grant management focused on digital transformation for SMEs. Prospective students would engage with practical Industry 4.0 applications through Institute IPT's industry-connected projects, though specific advising capacity isn't detailed. The Institute IPT serves as his primary research ecosystem, driving work in production technology and management. Current activities center on digital twin development, process mining integration, and competency frameworks for industrial digitalization, with strong emphasis on translating research into implementable solutions for manufacturing partners.
Andreas Heinzmann is a Professor at Technische Hochschule Rosenheim, where he serves as Program Director for the Master's in Wood Technology. He coordinates internships, leads examination committees, and manages two laboratories focused on manufacturing technology and industrial wood processing. Concurrently, he is the founder and managing director of holzbau.tech GmbH, providing automation and digitalization consulting for timber construction. His research integrates engineering and business management: Industrial Processes: Automation, robotics, and Industry 4.0 in wood manufacturing Business Systems: CAD/CAM, ERP, logistics, and factory layout optimization Sustainability: Circular economy models for timber construction His publication Automatisierung und Digitalisierung im Holzbau explores digital transformation in industrial wood processing. Current projects include Intereg Alpine Space Circular 4.0 (digital circular economy) and HigHRoQ (innovative teaching methodologies).
Prof. Dr.-Ing. Rolf Diesch is a Professor affiliated with Faculty 06 at an institution in Munich. He coordinates the practical study semester for Production and Automation (PAB/PNB) programs, overseeing internship guidelines, timelines, and report submissions. His office is located at Lothstraße 34 (Room A205), and he offers Friday consultations by appointment. His research expertise spans: Industrial Engineering Ergonomics Digital Factory systems Production and Automation He manages the Laboratory for Ergonomics, Digital Factory, Industrial Engineering , though no web address is available. No awards, publications, or supervised students are mentioned in the provided text.
Johann Heinzelreiter serves as an FH-Prof. DI at the University of Applied Sciences Hagenberg, actively contributing to the Assistive Technology Lab and Center of Excellence for Smart Production . His research spans industrial automation, smart factory systems, and cloud computing applications in production environments. His research interests focus on assembly task modeling , low-cost tracking systems for industrial environments, and human-centered workplace design . Heinzelreiter develops practical solutions for real-world manufacturing challenges, particularly in optimizing human-machine collaboration on shop floors through the General Assembly Task Model (GATM) framework. Publication analysis reveals consistent contributions to industrial informatics, with recent work emphasizing smart factory implementation (2019-2020), cloud-based optimization (2014), and digital identity management (2015). His research demonstrates strong industry relevance through COIN Cooperation & Innovation projects. With an h-index of 34, Heinzelreiter has secured significant research funding through multiple COIN projects: Human Centered Workplace (2016-2021) - Co-Investigator Themis - Conserve Your Digital Life (2013-2015) - Principal Investigator BackmeUp - Offline Datensicherung Web 2.0 (2010-2012) - Principal Investigator He collaborates extensively with researchers including Pimminger, Kurschl, and Augstein across production environments and assistive technology domains. His work bridges academic research with practical industrial applications through the Smart Automation and Robotics initiative.
Christopher Nathan serves as an adjunct instructor in the Electrical & Computer Engineering department at the University of St. Thomas School of Engineering. He brings four years of industry experience from OakRiver Technology, where he specializes in software and electrical design of automated machinery for medical and life sciences production facilities. His educational background includes: Master of Science in Software Engineering from the University of St. Thomas Bachelor of Science in Electrical Engineering from the University of St. Thomas Mr. Nathan's research and expertise center on systems integration and automation, integrated motion control, and smart factories with machine metrics. These fields are critical for modern manufacturing efficiency and reliability, particularly in regulated industries. No scientific awards were mentioned in the source material. Additionally, there is no available information regarding students advised or research grants. He is affiliated with the School of Engineering's state-of-the-art facilities, including the Design Center laboratory, which provides students with practical engineering experience.
پژوهشگر
Colin Reiff serves as a Research Assistant at the Institute for Control Engineering of Machine Tools and Manufacturing Units at the University of Stuttgart, focusing on advanced manufacturing systems and process optimization. His work bridges theoretical research with industrial applications in automotive, aerospace, and general production contexts. His research interests center on process control and optimization in multi-stage production systems and Additive Manufacturing (Powder Bed Fusion Processes) . Reiff has developed innovative approaches for zero-defect manufacturing, particularly through smart centering methods for rotation-symmetric parts and automated vision data systems using collaborative robots. His work demonstrates how dimensional deviations can be compensated during production rather than detected at final inspection. Analysis of his publication record from 2018-2024 reveals consistent focus on manufacturing innovation, with increasing emphasis on data-driven approaches, software-defined manufacturing, and sustainable production. His research spans both theoretical frameworks and practical implementations, with several solutions transitioning to industrial applications. Reiff actively supervises student theses and practical experiments, including the "Simulation of a feed axis closed loop control with MATLAB/Simulink" laboratory course. His work has been supported through EU-funded projects like ForZDM under Horizon2020 and the High-Performance Center "Mass Personalization" in Stuttgart. His research group operates within the University of Stuttgart's manufacturing ecosystem, contributing to initiatives like the "Stuttgarter Maschinenfabrik" - a fully digitalized production environment for customer-individualized products. This environment leverages digital twins and new technological infrastructure to enable application development freedom and machine park flexibility.
استادیار
Dr. Müslüm Erol serves as Assistant Professor at Bingöl University's Technical Sciences Vocational School since 2019, following eight years as Lecturer at the same institution. His academic career bridges substantial industry experience including Quality Assurance Manager at Casa EGYPT (Cairo), Planning/Factory Manager at Sad Textile (Istanbul), and Production Planning Manager at Boren Textile. His educational foundation includes: Licence in Textile Engineering from Suleyman Demirel University (2003) Degree in Textile Engineering from Erciyes University (2013) Doctorate in Textile Engineering from Erciyes University (2019) Dr. Erol's research pioneers sustainable textile innovation through chicken feather valorization for acoustic materials and composite structures, while optimizing garment production processes. His work uniquely connects industrial textile manufacturing challenges with advanced material science, particularly in nanofiber applications for medical textiles and sustainable alternatives to conventional materials. This practical-theoretical synergy defines his contribution to circular economy approaches in textile engineering. His publication trajectory reveals increasing focus on sustainable materials since 2018, with recent work concentrating on feather-based composites, nanofiber production parameters, and acoustic properties of textile structures. The research demonstrates consistent industrial relevance through labor cost analysis, defect reduction systems, and technology adoption studies in garment manufacturing. Dr. Erol actively secures research funding as principal investigator for Bingöl University projects while collaborating on Erciyes University research and European Union initiatives. His project portfolio balances fundamental material science (nanofiber development) with immediate industry applications (workforce development, production optimization), reflecting his dual academic-industry perspective. He serves as referee for multiple engineering journals including Türk Doğa ve Fen Dergisi and Çukurova Üniversitesi Mühendislik Fakültesi Dergisi.
Michał Pióro serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His office is located in Building A of the Faculty (room 149), where he actively conducts research and teaching in network engineering disciplines. His research centers on network optimization and resilience, with specialized focus on Software Defined Networking (SDN) controller placement, Free Space Optics (FSO) networks under weather disruptions, and industrial control systems for Industry 4.0. Key methodologies include min-max optimization, uncertainty set modeling, and game-theoretic approaches to address node-targeted attacks and atmospheric interference. His work bridges theoretical optimization with practical network design challenges in wireless communications. Analysis of recent publications (2021-2024) reveals consistent innovation in enhancing network robustness through mathematical optimization. His research demonstrates particular expertise in developing joint optimization frameworks for SDN controller placement and creating weather-resilient FSO network configurations using advanced uncertainty modeling. These contributions address critical gaps in maintaining network functionality during attacks and adverse environmental conditions. Scientific awards: No scientific awards were mentioned in the provided information Advising and grants: No information regarding student supervision or research grants was provided
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.
