جست‌وجوی استاد و پژوهشگر

Günter Bitschمشاهده پروفایل

استاد مدعو

• Industrial Engineering
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Günter Bitsch is a faculty member at ESB Business School of Reutlingen University, Germany. He serves as Deputy Dean of the Faculty NXT Sustainability and Technology and Pro-Dean of Finance. His academic expertise lies in digital transformation in industrial contexts, particularly focusing on hybrid decision support systems, cyber-physical production systems, and digital shopfloor management. PhD in Business Intelligence and Manufacturing Execution Systems from University of Siegen (2010) His research integrates artificial intelligence, machine learning, and Industry 4.0 technologies into production systems. He leads projects like accelerateKI and FTSsharing, and his work emphasizes explainable AI applications in manufacturing, human-robot collaboration, and adaptive control systems. Recent publications address: Explainable AI frameworks for root cause analysis Image segmentation for gear tooth alignment Economic evaluation of AI projects in CNC manufacturing Human-centric workforce dispatching models Dynamic adaptation in cyber-physical systems Prof. Bitsch's work bridges academic research with industrial practice through his co-founded company becos GmbH, where he applies his expertise in smart manufacturing solutions.

Coralie Vogelaarمشاهده پروفایل

مدرس

• Human-Machine Interaction
• Behavioral Studies
• Affective Computing
• +۷ مورد دیگر

Coralie Vogelaar is an interdisciplinary artist and lecturer at the ArtScience Interfaculty , affiliated with Leiden University . Her work bridges behavioral science with artistic practice, focusing on human-machine relationships through algorithmic systems and biometric data. 2021 Prix de Rome nominee Collaborates with experts in data analysis, choreography, and sound design Exhibited at Stedelijk Museum Amsterdam, ZKM Karlsruhe, and Science Gallery Dublin Her research explores: Power dynamics in responsive technologies Biometric data translation into sensory experiences Algorithmic biases in image recognition systems Human compliance with fitness-machine hybrids Technical collaborations with V2_Lab , TU/e Innovation Space , and Digital Methods Initiative demonstrate her cross-disciplinary approach. Works utilize Teachable Machine , SuperCollider , and facial action coding systems to interrogate digital-physical interfaces. Scientific Recognition: Nominated for Prix de Rome (2021) Featured in V2_ Lab's 40-year retrospective

Hussam Fraijمشاهده پروفایل

مدرس

• Mechanical Engineering
• Manufacturing Processes
• 3D CAD Modelling
• +۳ مورد دیگر

Hussam Fraij is a Lecturer in Engineering Design at Loughborough University (since October 2022), with over 20 years of combined industry and academic experience. He previously served as a lecturer and course leader at Abu Dhabi Polytechnic (2012–2022), focusing on Engineering Graphics, CAD/CAM, and Manufacturing Processes. His technical expertise spans 3D CAD (Autodesk Inventor), CNC programming, and manufacturing technologies like 3D printing and CNC machining. Professional Background: Former Fabrication Unit Supervisor (2004–2012), managing CNC machine shops and reverse engineering projects. Experience as a Mechanical Engineer and Design Engineer (2001–2004). Research & Teaching: Specializes in integrating hands-on learning through flipped classrooms, projects, and varied assessments. Active in 3D printing competitions and workshops, including winning the 2021 ASME UAE 3D Printing Competition. Awards & Certifications: Autodesk Inventor Certified Professional (2020) ASME Membership (2022) Multitude of technical certifications in CAD, CNC, and manufacturing processes. Outreach: Conducted 3D printing workshops at Baynounah Institute, Emirates Youth, and Abu Dhabi Polytechnic (2019–2021). Presenter at CAD Week events (2021).

Anna Sundbergمشاهده پروفایل

مدرس ارشد

• Wood Chemistry
• Paper Chemistry
• Nanocellulose
• +۳ مورد دیگر

Anna Sundberg is a Senior Lecturer in the Department of Wood and Paper Chemistry at Åbo Akademi University’s Faculty of Science and Engineering. Her research focuses on wood and paper chemistry, with expertise in nanocellulose, sustainable materials, and material science. She contributes to UN Sustainable Development Goals through her work on eco-friendly materials and chemical processes. Her laboratory, the Laboratory of Natural Materials Technology, develops technologies for a sustainable future. Research interests include nanocellulose applications, polymer compatibilization, fungal degradation of wood components, and improving paper properties through additives and processing techniques. Her work bridges fundamental chemistry with industrial applications, addressing challenges in pulp production, material strength, and environmental sustainability. Recent publications highlight advancements in spectrometric analysis for pulp extractives, fungal degradation studies, and polymer-cellulose composites. Her interdisciplinary approach combines machine learning, microscopy, and chemical engineering to innovate in material characterization and process optimization. Sundberg actively supervises BSc, MSc, and PhD students in these areas, contributing to the next generation of researchers in sustainable materials science.

Nestor Pestanaمشاهده پروفایل

مدرس

• Cultural Ecology
• AI and Historical Archives
• Speculative Design
• +۵ مورد دیگر

Nestor Pestana is a multimedia artist, educator, and researcher at the Royal College of Art's School of Communication. His work explores the intersections between technology and ecology, using worldbuilding and speculative design methods. He runs the Attunements Field Collective, which invites students to reflect on our human condition in relation to wider human systems and more-than-human entities. His expertise spans: 3D modelling & visualisation Art & curating Creative industries Critical practice Culture & communication Digital futures Emerging technologies Robotics & AI Service & UX Design Nestor's research focuses on cultural ecologies, particularly in relation to bats and their cultural associations, as well as the exploration of historical archives in combination with AI technologies. Through his work, he engages in collaborations with scientists and technologists to promote knowledge exchange, critical thinking, and lifelong learning. His practice incorporates digital fabrication technologies such as 3D printing and CNC, combined with digital animation, film, sound, and interactive media. His notable projects include The Bats Project: New Dark Aesthetics (2022 ongoing), which explores the cultural ecologies of bats, and Arquivista AI (2021 ongoing), which investigates human-machine collaborations in story production. Nestor has received several awards: Finalist, YouFab Global Creative Awards, 2020 Work acquisition, Wellcome Collection, 2015 Distinction, Royal College of Art, 2015 He has secured research funding from various sources including the Culture and Tourism Division of the Municipality of Funchal (2021-2022), Arts Council Response Fund (2020), and UAL: London College of Fashion (2018). Nestor collaborates with institutions such as the Natural History Museum, Orleans House Gallery, and InnovaSpace, and has worked with organizations including Superflux, IKEA, King's College London, and Science Gallery London.

Mihai Ispasمشاهده پروفایل

استاد

• Properties of wood and wood-based materials
• Mechanical processing of wood
• Technologies for the wood industry

Mihai Ispas is a Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Transilvania University of Brașov, Romania. His research focuses on wood properties, mechanical processing techniques, and optimization of wood industry technologies. Institution: Transilvania University of Brașov Department: Wood Processing and Design of Wood Products Email: ispas.m@unitbv.ro Professor Ispas's research spans two decades, with recent work emphasizing the application of artificial intelligence (e.g., artificial neural networks) and statistical methodologies (e.g., response surface methodology) to optimize drilling and milling processes for wood composites. His studies analyze surface quality, delamination, and mechanical properties across materials like MDF, particleboard, blockboard, and thermally modified hardwoods such as beech and maple. Key trends in his publications include: Integration of computational modeling with empirical testing Focus on drilling parameter optimization for industrial applications Comparative analysis of tool geometries and processing methods Thermal modification effects on wood machinability Advancements in CNC routing and surface decoration Sustainable practices in furniture and wood industries Contact details: Office: Building L, Room L II 7 Phone: 0372 910037 Address: St. Universității, No 1, Brașov, Romania

Ivan Milićevićمشاهده پروفایل

استاد

• Mechanical Engineering
• Mechatronics
• CNC Machining
• +۴ مورد دیگر

Ivan Milićević is a Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac. His work focuses on mechanical engineering, mechatronics, and industrial automation with a strong emphasis on CNC machining, robotics, and materials processing. He has contributed to over 80 scientific and professional papers, two university textbooks, and multiple technical solutions. Employment history includes roles at AD “Proleter” Arilje (1999-2000) and Faculty of Technical Sciences Čačak since 2000. Research spans tool design for excavators, intelligent control systems, and thermal analysis of materials. Recent publications show expertise in 3D printing optimization, robotic simulation, and industry 4.0 educational reforms. Active in projects related to mold filling control, bearing diagnostics, and collaborative robotics. His work integrates MATLAB/Simulink, CAD/CAE/CAM tools, and genetic algorithms for manufacturing optimization.

Guodong Wangمشاهده پروفایل

پژوهشگر

• Machine Learning
• Industrial Data Processing
• Cyber-Physical Systems
• +۵ مورد دیگر

Dr. Guodong Wang is a researcher affiliated with the Forschungsbereich Cyber-Physical Systems at TU Wien. His work focuses on machine learning applications in industrial data processing, fault diagnosis, and health monitoring systems. He has collaborated extensively with Prof. Radu Grosu and other researchers on projects involving neural networks, Bayesian methods, and sensor data analysis. Education: PhD in Technical Sciences (Dr.techn.) MSc in Engineering His research interests bridge theoretical machine learning with practical industrial challenges, including: Development of generative neural network models for quality prediction in manufacturing Fault prognostics for semiconductor and marine machinery systems Integration of Bayesian networks and evidential reasoning for multi-sensor data fusion Key contributions include: Proposing the ZIZO algorithm for Echo-State Networks optimization Advancing wear condition prediction in milling tools Creating machine learning frameworks for cyber-physical systems diagnostics His work often addresses real-world applications in manufacturing, marine engineering, and medical diagnostics.

• Electrical Engineering
• Machine Tool Technology
• Welding Technology
• +۲ مورد دیگر

Danel Bowen serves as an Assistant Professor in the Electrical Machine Tool and Welding Technology program within the School of Applied Technology at Alfred State College, where he contributes to the institution's mission of hands-on career preparation through industry-aligned instruction. Education Background: Associates in Occupational Studies in Electrical Construction & Maintenance Electrician, Alfred State College Research and Teaching Focus: Professor Bowen specializes in practical electrical systems, precision machining, and advanced welding methodologies. His work emphasizes applied learning in industrial maintenance, electrical circuit design, and manufacturing technologies, directly supporting student readiness for technical careers in construction and manufacturing sectors. Key areas include electrical safety protocols, CNC machine operation, and metallurgical bonding techniques critical for modern infrastructure development. Professional Recognition: No scientific awards or fellowships are documented in current institutional records. Academic Mentorship: While specific advisees are not listed in directory information, Professor Bowen's role involves guiding students through occupational certification pathways in electrical trades and welding disciplines, with curriculum focused on immediate workforce deployment.

Emma Yangمشاهده پروفایل

استادیار

• Additive Manufacturing
• Sustainability Practices
• Circular Economy
• +۳ مورد دیگر

Dr. Emma Yang is an Assistant Professor at The University of Texas at Arlington (UTA), Department of Industrial, Manufacturing, and Systems Engineering. She leads the Sustainable and Intelligent Manufacturing (SIGMA) Lab, focusing on additive manufacturing sustainability, circular economy integration, and advanced materials. Her professional career includes roles at UTA since 2019, prior experience at the University of Illinois at Chicago, and DOE Industrial Assessment Center (IAC) as a student investigator. Education: Ph.D., Industrial Engineering & Operations Research, University of Illinois Chicago (2019) M.S., Mechanical Engineering, Purdue University Northwest (2015) B.S., Automotive Engineering, Beijing Institute of Technology (2013) Research Interests: Dr. Yang’s work emphasizes high-quality metallic fabrication via hybrid additive manufacturing, circular economy strategies for waste recycling, additive manufacturing supply chain optimization, and sustainability in advanced manufacturing. Her lab’s projects are funded by NSF, DoD, and UTA. She also advocates for engineering education through virtual reality integration and K-12 STEM outreach. Awards: 2024: President’s Award for Excellence in Teaching (UTA) 2023: 40 Under 40 (City of Arlington) 2023: Outstanding Achievement in Energy Engineering (DOE IAC Alumni) 2021: Best Presentation Award (International Conference on Resource Sustainability) Grants & Funding: DoD Office of Naval Research (2022-2023) NSF and UTA Research Enhancement Program (2020-2021) Labs & Teams: SIGMA Lab (Engineering Research Building 188) focuses on additive manufacturing waste recycling, hybrid manufacturing systems, and virtual reality training. Collaborations include UTA Libraries’ FabLab and Waters Corporation.

Jens Weberمشاهده پروفایل

استاد

• Software Engineering
• Safety and Security Engineering
• Health Informatics
• +۵ مورد دیگر

Jens Weber is a Professor and Associate Dean of Professional Programs & Development at the Faculty of Engineering and Computer Science, University of Victoria. He holds a PhD from the University of Paderborn and is a Professional Engineer (P.Eng.) in British Columbia. His research focuses on software engineering with emphasis on safety and security assurance in critical systems, particularly in healthcare, transportation, and defense sectors. He also investigates systems incorporating artificial intelligence and self-adaptation. He teaches courses on security engineering, software architecture, and formal methods. His affiliations include the School of Health Information Science at UBC and the Faculty of Medicine at UBC. Key research projects include GRAPE VINE (graph transformation tools), Information Security Assurance, Medical Device Software Certification, and Medical Systems Hazard Analysis. He serves on the Board of Engineers and Geoscientists BC, chairs the Academic Integrity Committee, and organized conferences like IEEE Health Informatics 2021. His work emphasizes bridging engineering practices with real-world software deployment challenges, especially in health informatics. Awards include the 2019 Société de Biomécanique Young Investigator Award for human body model validation research. Current initiatives include developing data quality frameworks for clinical systems, tool support for functional graph programming, and safety analysis methodologies for adaptive systems.

Soumaya Yacoutمشاهده پروفایل

استاد

• Industrial Engineering
• Operations Management
• Operations Research
• +۷ مورد دیگر

Soumaya Yacout is a Full Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal. She holds a Doctorate in Science from George Washington University and has been a leading academic in industrial engineering and artificial intelligence for over two decades. Her research focuses on Industry 4.0, predictive maintenance, and data-driven decision-making. Key projects include the Intelligent Cyber-Physical Systems Lab, developing cyber-physical platforms for Industry 4.0 factories, and creating algorithms for big data analysis in manufacturing systems. She also leads the CĒOS Net network, advancing smart maintenance strategies for heavy-duty electrical buses. Yacout has supervised over 27 PhD and Master’s students, with notable alumni contributing to sectors like aerospace, automotive, and smart manufacturing. Her work integrates AI, optimization, and machine learning to address complex industrial challenges, including fault diagnosis, prognosis, and real-time decision-making systems. Her recent publications emphasize AI applications in maintenance, digital twins, and predictive modeling. She leads interdisciplinary teams and collaborates with industry partners on projects funded by IVADO and NSERC, driving innovation in sustainable manufacturing and smart infrastructure.

Simon A. Popeمشاهده پروفایل

مدرس

• Active Metamaterials
• Sustainable Manufacturing
• Aerospace Engineering
• +۳ مورد دیگر

Simon A. Pope is a Lecturer and Aerospace Admissions Tutor in the School of Electrical and Electronic Engineering at the University of Sheffield. He holds an MEng in Mechanical Systems Engineering and a PhD from the University of Sheffield, focusing on magnetic noise detection in space missions. His research interests include active metamaterials, sustainable manufacturing, control systems, and space plasma physics. He leads the Space and Aviation Challenge within the EPSRC UK Metamaterials Network and has contributed to projects like the Venus Express mission. Education: MEng (2004), PhD (2009) in Mechanical Systems Engineering from the University of Sheffield. Research focuses on developing novel materials with controllable properties (e.g., metamaterials), sustainable manufacturing processes, and vibration/acoustic control. Notable contributions include work on Venus's magnetosphere and self-healing systems. Grants include EPSRC funding for metamaterials research and sustainable manufacturing innovations. He teaches courses like ACS6127 (Real Time Embedded Systems) and AER204 (Embedded Programming). Professional activities include leadership roles in EPSRC networks and collaborations with industry partners like BAE Systems and Vestas Wind Systems.

Lars Penterمشاهده پروفایل

پژوهشگر

• Machine Tools
• Adaptive Control Systems
• Industrial Internet of Things
• +۶ مورد دیگر

Lars Penter is a Senior Engineer Research and Education at the Chair of Machine Tool Development and Adaptive Controls , Dresden University of Technology, and a Research Associate at the Fraunhofer Institute for Machine Tools and Control Technology (Department of IIoT Controls and Technical Cybernetics). His career spans roles since 2018 in machine tool development, adaptive control systems, and industrial IoT applications. Current affiliations: Dresden University of Technology, Fraunhofer Institute Research focus: Digital twin technology, friction modeling, damping analysis, sheet metal forming, process-machine interaction Scientific contributions include 15 recent articles (2025–2022) covering AI-driven deep drawing process prediction, digital twin applications in forming, multifractal surface analysis, and composite material damping. Publications appear in journals like At-Automatisierungstechnik and Robotics and Computer-Integrated Manufacturing . He contributes to industrial simulation and thermo-elastic analysis , addressing challenges in forming press behavior, elastic tool deformations, and chatter detection. His work bridges mechanical engineering with industrial IoT and AI-driven optimization .

• Control Systems
• Neural Networks
• Embedded Systems
• +۶ مورد دیگر

Dr. Eng. Marek Krok is a Lecturer at the Department of Automation within the Faculty of Electrical Engineering, Automation and Computer Science at Opole University of Technology. His academic focus lies in control systems, neural networks, and energy-efficient algorithm design, with significant contributions to perfect control theory and FPGA-based implementations. Role: Lecturer Department: Automation Contact: Room P3-414, m.krok@po.edu.pl His research emphasizes perfect control systems , including energy-optimal algorithms for LTI systems, inverse model control, and pole-free control strategies. He has explored practical applications in servomechanism systems and CNC machining, leveraging neural networks and FPGA hardware for improved performance. The most recent 15 publications highlight trends in control theory , neural network integration , energy optimization , and hardware implementations . Key subfields include model-based control, recurrent neural networks, FPGA acceleration, multivariable systems, Moore–Penrose inverse alternatives, and real-time control validation. In teaching, Krok supervises consultations and maintains a personal website: m.krok.po.opole.pl . His work bridges theoretical control system design with industrial applications in automation and robotics.