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Mohammad Ali ZamaniView profile

Researcher

• Neural Networks
• Human Robot Interaction
• Natural Language Processing
• +3 more

Mohammad Ali Zamani is a Researcher at the University of Hamburg's Department of Informatics, affiliated with the Knowledge Technology Research Group. His work focuses on Neural Networks, Human Robot Interaction, and Natural Language Processing. He is part of the SECURE Project, aiming to enhance safety in uncertain robotic environments. Previously, he held roles as a Research Assistant at Ozyegin University and the University of Tehran, contributing to projects in robotics and smart grid systems. Education includes a M.Sc. in Computer Science from Ozyegin University (2015) and a B.Sc. in Electrical Engineering from the University of Tehran (2012). His research explores adaptive autonomy in smart grids, human-robot collaboration, and deep reinforcement learning applications in robotics and sentiment analysis. Publications highlight advancements in reinforcement learning for robotics tasks, emotion recognition in human-robot interaction, and expert systems for smart grid management. His work bridges theoretical foundations with practical applications in autonomous systems and human-centered AI.

• Vertical Integration
• Turkish Apparel Industry
• Scenario Planning
• +4 more

Seckin Polat is a Professor in the Department of Industrial Engineering at Istanbul Technical University. His research focuses on strategic decision-making frameworks in vertical integration, scenario planning methodologies for industries, and Industry 4.0 applications in manufacturing. He has led 3 major BAP-funded projects including 'Analysis of the Relationship between Competitive Environment and Strategy' (2014-2021) and 'Integration of Modularity Theory with Vertical Integration Theory' (2011-2021). Polat's work emphasizes interdisciplinary approaches combining operations research with industrial management. He has supervised 75 theses, demonstrating his commitment to academic mentorship. His international collaborations include projects with scholars from textile and manufacturing sectors. Key contributions include applying Godet's scenario methodology to the Turkish apparel industry and developing learning-based decision models for IT management. Education: Unspecified in text Awards: None explicitly mentioned Labs/Teams: Leads research groups in strategic decision models and industrial systems analysis His recent work explores Industry 4.0 adoption patterns among Turkish manufacturers and evaluates energy service contracts using integrated outsourcing models.

• Uncertainty representation (possibility theory)
• Fuzzy methods in information fusion
• Signal Mathematics
• +5 more

Gilles MAURIS is a Lecturer at Polytech Annecy-Chambéry, part of Savoie Mont-Blanc University. He holds a position in the IUT Annecy department of Electrical Engineering and Industrial Computing. His research focuses on uncertainty representation using possibility theory and fuzzy logic applications in information fusion. He has supervised PhD theses including Fanny Pagnier's work on avalanche risk decision-making and Charles Lesniewska-Choquet's study on stochastic processes. He participates in major research projects like the INTERREG Franco-Swiss CIME project (2018-2022) and previously led the FUI MISAC Project (2011-2015) as LISTIC's Scientific Manager. His teaching responsibilities include courses in Signal Mathematics, Probability and Statistics, and Electronics at IUT Annecy. He serves as Head of adapted sections (sports and music) at IUT Annecy and has organized conferences including the 2017 IEEE CIVEMSA as Chair of the Organizing Committee. He contributes to academic评审 for journals like IEEE Trans. on Fuzzy Systems and Fuzzy Sets and Systems.

• Structural Dynamics
• Aeroelasticity
• Uncertainty Modeling
• +6 more

Professor Hamed Haddad Khodaparast is a faculty member in the School of Aerospace, Civil, Electrical and Mechanical Engineering at Swansea University, specializing in Aerospace Engineering. His roles include teaching and supervising postgraduate students in areas such as dynamics and advanced airframe structures. He has held academic positions from Lecturer to Professor since 2013, currently serving as a Professor since 2022. Research Interests: Structural Dynamics and Aeroelasticity Uncertainty Modeling and Propagation Vibration Control (Active/Passive) Composite Structures and Morphing Aircraft Reduced Order Modeling and Nonlinear Dynamics Recent Research Contributions: His work focuses on stochastic modeling, nonlinear system identification, and energy harvesting. Notable projects include gust load alleviation using hinged wingtips and nonlinear joint modeling for industrial applications. Collaborations involve aerodynamic optimization and experimental validation of piezoelectric systems. Grants and Supervision: Supervised PhD students on topics like nonlinear bolted joints and aeroelastic wing design. Active in interdisciplinary projects with industry partners, addressing challenges in morphing aircraft and structural health monitoring. Labs/Teams: Leads research in structural dynamics and aeroelasticity within the School’s Aerospace Engineering group, contributing to advanced composite materials and wind tunnel testing initiatives.

• Digital Labour
• Workplace Governance
• Health Research Ethics
• +5 more

Alicia Feldman is a researcher affiliated with Queensland University of Technology (QUT), contributing to interdisciplinary studies in digital labour, workplace governance, and health research ethics. Her work bridges academic research with policy impact through collaborations with institutions like the QUT Centre for Decent Work and Industry. Key areas include AI adoption in universities, platform economy dynamics, and multi-level marketing analysis. She has authored/co-authored over 25 peer-reviewed articles and policy submissions addressing topics such as employment scams, medical research participation barriers, and environmental behavioral change. Her research often involves cross-sectoral partnerships to translate findings into actionable policy recommendations. Recent projects include analyzing AI engagement among Australian university staff (2024) and investigating health data governance challenges (2025). Her work highlights critical intersections between technology, labor practices, and societal well-being.

• Environmental Assessment and Management
• GIS and Spatial Analysis
• Environmental Decision-Making
• +3 more

Dr Graham Wood is a Professor of Environmental Assessment and Management at the School of the Built Environment, Oxford Brookes University. He holds a BA (Cantab) and PhD, specializing in environmental decision-making, GIS applications, and impact assessment methodologies. He coordinates the MSc Environmental Impact Assessment and Management program and teaches modules on GIS, spatial analysis, and sustainability. His research focuses on improving environmental assessment practices, particularly through technological integration and policy analysis. Dr Wood has extensive grant-funded research experience, including projects supported by the ESRC, NERC, DEFRA, and the European Commission. Notable projects include developing GIS tools for habitat surveys (2013-2015), auditing EIA procedures (2002-2004), and evaluating social sustainability in urban renewal (2006-2008). He has supervised over 70 MSc dissertations and co-authored influential books like *Methods of Environmental and Social Impact Assessment* (2017). Professional memberships include the ESRC Peer Review College and roles as an expert assessor for international research councils. His work bridges academic research and practical application, emphasizing methodological innovation in environmental planning and decision-making processes.

Ghazalnaz SharifonnasabiView profile

Lecturer

• Artificial Intelligence
• Medical AI
• Pattern Recognition
• +3 more

Dr. Ghazalnaz Sharifonnasabi is a Lecturer in the Department of Information Technology at James Cook University (Singapore Campus). She holds a PhD in Computer Science from Taylor University, alongside a Master of Arts in Science Technology and Sustainability and a Bachelor of Education in Business Information Technology. Her research focuses on AI-driven medical imaging applications, particularly bone age estimation using machine learning, which has been patented. She has extensive experience in IT network management, web development, and academic teaching. Education: Doctor of Philosophy (PhD), Computer Science, Taylor University Master of Arts (Fine Arts), Science Technology and Sustainability, University of Malaysia Bachelor of Education (Arts/Crafts), Business Information Technology, Staffordshire University British Diploma in Computer and Information Technology, NCC Education Research Interests: Her work emphasizes Pattern Recognition , Medical AI , Computer Vision , and Document Image Analysis . Her PhD thesis developed a patented bone age estimation method using dental radiography to assist refugees lacking age documentation. Current projects explore global applications of this technology. Publications Overview: Her articles span AI in medical diagnostics (e.g., breast cancer prediction), hybrid machine learning models for age estimation, and digital transformation in SMEs. Recent work includes Bayesian statistical methods and metaverse applications in Halal services. Awards & Recognition: 2018 Vice Chancellor's Scholarship (Taylor University) Advanced Scholarship for Master's Degrees Advising & Collaboration: While no formal advisees are listed, she has collaborated with Nivan Company on web development projects and serves as a journal referee. Her teaching spans undergraduate and graduate IT courses. Labs/Teams: Active in James Cook University's School of Science and Technology, contributing to interdisciplinary AI initiatives.

• Artificial General Intelligence
• Cognitive Decision-Making
• Robotics
• +4 more

Xin Yuan (a.k.a. Vernon) is a Senior Research Associate at the School of Electrical and Mechanical Engineering, Faculty of Sciences, Engineering and Technology at the University of Adelaide. His research focuses on Artificial General Intelligence (AGI), cognitive decision-making, robotics, autonomous systems, network security, and cyber-physical systems, with practical applications in industries like meat processing and intelligent transport systems. He has secured over $535k in Tier-3 funding from organizations such as Meat & Livestock Australia and collaborates with South Australian industry partners and zoos to develop engineering solutions for animal welfare and enrichment. Dr. Yuan teaches courses in programming, digital electronics, and autonomous systems, impacting over 3,000 engineering students. His work includes developing advanced robotic systems for red meat processors and autonomous vehicles. Recent research trends in his publications emphasize knowledge tracing algorithms, control systems for neural networks, and graph-based machine learning. He actively engages in student-industry partnerships and leads innovative projects like autonomous micro-air vehicles and animal behavior monitoring systems. Grants & Funding: Over $535k in Tier-3 funding for industry projects. Collaborations: South Australian Zoos, Meat & Livestock Australia, Australian Meat Processor Corporation. Projects: Shadow Robot systems, energy-efficient UAV-UGV tracking, sealion protection systems. His research portfolio bridges theoretical advancements in AGI with real-world applications, emphasizing interdisciplinary innovation in engineering and AI.

Matteo SavinoView profile

Professor

• Production Management
• Supply Chain Management
• Maintenance Optimization
• +7 more

Matteo Savino is a Full Professor at the Department of Engineering, Università degli Studi del Sannio . His academic career spans over 25 years with extensive contributions to production management, supply chain optimization, and quality systems. Research focuses on integrating Quality/Safety/Environment management systems Specializes in predictive maintenance and logistics optimization Active in multi-agent system applications for dynamic production environments Research trends show consistent work in: Maintenance cost optimization (1998-2024) Supply chain modeling (2005-2019) Industry 4.0 implementation (2018-2019) Risk analysis frameworks (2017) His publications demonstrate deep engagement with: Fuzzy logic applications Linear scheduling methods Machine learning for maintenance Resource allocation models

• Fluid Dynamics
• Energy Systems
• Winter Road Maintenance
• +5 more

Jeanette Cleotilde Polanco Pinerez is an Associate Professor at the Department of Industrial Technology, UiT The Arctic University of Norway, based in Narvik. She specializes in fluid dynamics, energy systems, and industrial applications of machine learning, with significant contributions to winter road maintenance technologies and Arctic infrastructure solutions. Her research focuses on: Advanced fluid mechanics and multiphase systems in industrial contexts Machine learning applications for Arctic transportation challenges Energy efficiency and renewable energy systems analysis Sensor technologies for industrial safety and environmental monitoring Thermodynamic modeling and heat transfer optimization Publication analysis reveals strong emphasis on predictive maintenance systems, alternative energy solutions, and Arctic-specific engineering challenges, with recent work increasingly incorporating AI/ML methodologies. She is an active member of the Materials Science research group and contributes to developing practical engineering tools for extreme climate conditions.

Leslie MonplaisirView profile

Professor

• Product Development Analytics
• Lean Product Development
• Design for Lean Systems and Services
• +10 more

Leslie Monplaisir is a Professor in the Department of Industrial and Systems Engineering at Wayne State University (WSU) and serves as the Associate Dean for Academic and Student Affairs in the College of Engineering. He is also the Director of the Product Development and Systems Engineering Consortium (PDSEC) at WSU. PhD in Engineering Management (1995), Missouri University of Science and Technology M.S. in Computer Integrated Manufacturing (1991), University of Birmingham, England B.S. in Mechanical Engineering (1987), University of the West Indies, Trinidad His research focuses on Product Development Analytics , including Lean Product Development, Global Product Platform Optimization, Healthcare Technology System Design, and Computational Intelligence in Product Realization. He has authored over 100 publications funded by NSF, Ford, GM, and other organizations. Key trends in his work include modular product design, supply chain integration, and sustainable systems engineering. Outstanding Faculty Award (Wayne State University, 2000, 2001) Excellence in Teaching Award (2000) BEST Professor Award (EMMP Class of 2001) Fellow of IEOM Senior Member of IISE Monplaisir has directed PDSEC since 2003 and collaborates extensively with industry partners like PTC, VA, and Sun Microsystems. His work bridges computational intelligence, lean systems, and healthcare technology design.

• Bioinformatics
• Computational Biology
• Image Processing
• +6 more

Arnau Mir Torres is a University Professor at the University of the Balearic Islands (UIB) within the Department of Computer Science and Artificial Intelligence. He contributes to the School of Mathematics and Computer Science, aligning his work with the Biología Computacional y Bioinformática (BIOCOM) , Modelización de Datos y Aprendizaje Estadístico (MoDAE) , and Soft Computing, Image Processing and Aggregation (SCOPIA) research groups. His academic journey began with a degree in 1987, followed by a doctoral thesis completed in 1994 at the University of Barcelona. In 1995–2006, he collaborated with CSIC Research Professor Pedro Salvador on semiconductor characterization using photoelectrochemical imaging and co-directed two doctoral theses with Excellent Cum Laude honors at UIB. Since 2006, his focus has shifted to balance indices for binary trees under evolutionary models (Yule, uniform, Ford alpha-gamma) and fuzzy techniques for medical image denoising and contour detection, co-supervising another Excellent Cum Laude thesis in July 2020. His research spans Q1/Q2 journal articles (over 30) and conference/book chapters (over 50), with active participation in three R&D&I structures. Awards include a 2016 Sexenio de Investigación (six-year research fellowship), reflecting sustained academic contributions. Teaching roles include advanced statistics, numerical methods, and statistical learning across bachelor’s and dual-degree programs in Mathematics and Engineering.

• Fuzzy Logic Control Systems
• UAV Stabilization
• Nonlinear Control Objects
• +2 more

Michał Lower is a Lecturer at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His office is located in Building C-3, Room 222 (ul. Janiszewskiego 11/17), and he holds regular consultation hours for students. He can be contacted via email at michal.lower@pwr.edu.pl or phone at +48 71 320 2969. His research focuses on: Design of inference and control systems using fuzzy logic Stabilization techniques for nonlinear control objects UAV control and stabilization systems Industrial automation and control systems Analysis of air traffic incidents using probabilistic methods Recent publications demonstrate a consistent focus on applying fuzzy logic and neural networks to control systems, with applications ranging from UAV navigation and inverted pendulum stabilization to urban transportation planning. His work frequently intersects robotics, aviation safety, and intelligent system design.

Marcin JaroszewskiView profile

Researcher

• Bioinformatics
• Combinatorial Optimization
• Genetics
• +2 more

Marcin Jaroszewski is a researcher affiliated with the Department of Telecommunications and Teleinformatics at Wroclaw University of Science and Technology's Faculty of Information and Communication Technology. His work focuses on combinatorial problem-solving in genetics and molecular biology. Research Interests: Jaroszewski applies computational methods to address complex combinatorial challenges emerging from biological systems. His research bridges algorithmic approaches with molecular biology applications, particularly investigating gene expression patterns and regulatory mechanisms. Publications: His recent work spans two domains: 2016 PLoS One study on prebiotic/synbiotic effects in poultry genetics 2008 IEEE Transactions paper on nonstationary fuzzy sets theory These reflect his interdisciplinary expertise in bioinformatics and computational modeling. Contact: Email: marcin.jaroszewski@pwr.edu.pl

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +4 more

Martin Tabakow, PhD, is a researcher at the Department of Artificial Intelligence within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on artificial intelligence applications in medical imaging and computational biology. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Artificial Intelligence Academic Rank: Researcher His research interests include: Deep learning for histopathology and retinal disease detection Fuzzy logic systems and type-2 fuzzy inference Data bias mitigation and class imbalance solutions Medical image segmentation and computational healthcare Publications (2019–2024) demonstrate expertise in using AI for biomedical applications. Notable trends include: Advancements in histopathological image analysis Development of type-2 fuzzy models for improved classification Focus on synthetic data generation and bias reduction Integration of AI with clinical diagnostic systems Current laboratory affiliations include the Artificial Intelligence Department's research teams focused on medical applications.