جست‌وجوی استاد و پژوهشگر

• Artificial General Intelligence
• Cognitive Decision-Making
• Robotics
• +۴ مورد دیگر

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.

Desmond Greerمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Search-Based Software Engineering
• Automated Software Refactoring
• +۳ مورد دیگر

Desmond Greer is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on software evolution, search-based software engineering (SBSE), automated refactoring, and requirements engineering. He has supervised multiple PhD students, including Michael Mohan, Sharon McGee, and Liang Xiao, whose work spans topics like software maintenance and adaptive agent models. Greer holds three prestigious awards, including Best Paper recognitions at IEEE Requirements Engineering (2011) and Computational Science (2019) conferences. He actively collaborates with industry through KTP projects, such as those with Tascomi Ltd and Linden Foods Ltd, and contributes to editorial roles and conferences like Empirical Software Engineering and Measurement. His academic profile includes over 90 research outputs since 1994, with recent work addressing IoT security, agile scrum education, and fuzzy systems. He is committed to advancing software adaptability through experimental approaches and is open to supervising PhD candidates in his research areas.

Matteo Savinoمشاهده پروفایل

استاد

• Production Management
• Supply Chain Management
• Maintenance Optimization
• +۷ مورد دیگر

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
• +۵ مورد دیگر

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.

Sara Masoudمشاهده پروفایل

استادیار

• Mixed Reality
• Virtual Reality
• Augmented Reality
• +۱۰ مورد دیگر

Sara Masoud is an Assistant Professor in the Department of Industrial and Systems Engineering at Wayne State University, specializing in mixed reality, machine learning, and dynamic data-driven systems. Her research spans agro-industry, transportation, healthcare, and smart manufacturing. Ph.D. in Systems and Industrial Engineering, University of Arizona (2019) M.S. in Statistics, University of Arizona (2019) B.Sc. in Industrial Engineering, Sharif University of Technology (2014) Her research integrates virtual reality (VR), augmented reality (AR), and applied machine learning to address challenges in autonomous vehicles, hazardous materials transportation, and environmental monitoring. Recent work includes PM2.5 forecasting using sensor networks and robotics applications in manufacturing. Her publications examine spatiotemporal modeling, human-robot collaboration, and healthcare analytics. Awards include the 2025 Excellence in Teaching Award and multiple IISE Best Paper recognitions (2019-2021). She leads the Smart Immersive Modeling Laboratory. Excellence in Teaching Award, Wayne State University, 2025 IISE Best Paper Award, Data Analytics Track, 2019 Outstanding Research Assistant, University of Arizona, 2019 IISE Conference Finalist, 2018

Alberto Ortiz Rodríguezمشاهده پروفایل

استاد

• Computer Vision
• Mobile Robotics
• Pattern Recognition
• +۶ مورد دیگر

Dr. Alberto Ortiz Rodríguez is a Full Professor at the Department of Mathematics and Computer Science, University of the Balearic Islands (UIB), where he has been a faculty member since 1992. His research focuses on Computer Vision , Mobile Robotics , Pattern Recognition , and Machine Learning . PhD in Computer Science (UIB, 2005) Member of INTER research group (Intelligent Embedded Systems and Robotics) Member of Artificial Intelligence Research Institute of UIB (IAIB) His work addresses applications in Micro-Aerial Vehicles (MAVs) , defect detection for visual inspection , object recognition , and target tracking . He leads European and national R&D projects like FUSIGEMAP (PID2022-139248NB-I00) and BUGWRIGHT2 (H2020 GA 871260). Recent publications demonstrate expertise in radial basis function neural networks , modular indistinguishability operators , and UWB-based localization . Research spans robotics, industrial inspection, healthcare quality control, and multi-robot coordination. Best Paper Award at ESTYLF 2021 Active reviewer for robotics and AI journals Member of IEEE Robotics and Automation Society (RAS) Member of International Association for Pattern Recognition (IAPR) He contributes to autonomous robotic inspection systems for ships, storage tanks, and hospital environments, with over 170 publications in robotics, computer vision, and AI.

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +۴ مورد دیگر

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.

Urszula Markowska-Kaczmarمشاهده پروفایل

استاد

• Deep Learning
• Machine Learning
• Neural Networks
• +۴ مورد دیگر

Prof. Urszula Markowska-Kaczmar is a distinguished academic at the Faculty of Information and Communication Technology , Wroclaw University of Science and Technology , where she has been active since 1988. Her research focuses on deep learning , neural networks , and computational intelligence , with applications in computer vision , medical diagnostics , and natural language processing . Current role: Full Professor in Department of Artificial Intelligence Key collaboration: Organized Poland's first deep learning workshop DArViN2015 with speakers like Ruslan Salakhutdinov Editorial work: Guest editor for Applied Artificial Intelligence (2014) and managing editor for International Journal of Computational Intelligence Research (2007-2008) Her research explores neural network interpretability through evolutionary algorithms, semi-supervised learning frameworks, and multi-modal data analysis . She pioneered deep learning applications in Poland and maintains active involvement in international conferences like IEEE IJCNN and ACIIDS . The 15 most recent publications reveal trends in medical imaging analysis (2025), generative adversarial networks (2022), style transfer (2021), and foundational neural architecture comparisons (2015). Her work balances theoretical advancements in learning algorithms with real-world implementations in healthcare and document analysis. Key grants include: Framework for Visual Information Retrieval (2008-2011) Adaptive Problem-Solving System (POIG.01.01.02-14-013/09-00, 2010-2013) ENGINE European Research Centre (2013-2015) She supervises PhD and master's students in neural network implementations and maintains active program committee memberships for conferences like IEEE IJCNN and ICPRAM . Her lab focuses on deep learning for healthcare and intelligent document systems .

Jacek Mazurkiewiczمشاهده پروفایل

پژوهشگر

• Artificial Neural Networks
• Computer Architecture
• Wireless Communication Systems
• +۳ مورد دیگر

Jacek Mazurkiewicz is an academic researcher at Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and Department of Computer Engineering . His work spans artificial neural networks, network systems dependability, and transport safety applications. PhD in Computer Engineering Active participation in DepCoS-RELCOMEX conferences Research focuses on: Hardware implementation of neural networks Soft computing for safety improvements Critical situation analysis in network systems Intelligent transport systems development Recent publications highlight his interdisciplinary approach combining AI with transportation safety, creative AI applications in music/art, and dependability engineering. He has contributed to conference proceedings editing and collaborative research projects. Contact: jacek.mazurkiewicz@pwr.edu.pl

Jacek Cichoszمشاهده پروفایل

پژوهشگر

• System Identification
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Jacek Cichosz is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology , specializing in the Department of Systems and Computer Networks . Holding a PhD, he focuses on system identification, biomedical engineering, and signal processing applications. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Systems and Computer Networks His research spans system identification , medical imaging analysis , and fuzzy logic applications in diagnostics , particularly for laryngeal pathology and ECG interpretation. He has developed educational tools like the CARDIO system and contributed to computer-aided diagnosis frameworks. Recent publications highlight trends in recursive identification , image analysis , and fuzzy rule-based diagnostic systems , with interdisciplinary applications in healthcare and computer science. Keywords include system identification , medical imaging , and biomedical signal processing . Contact: jacek.cichosz@pwr.edu.pl

• Operations Research
• Water Resources Management
• Sustainable Infrastructure
• +۴ مورد دیگر

Francisco Silva Pinto is a researcher at Universidade Lusófona, specializing in Numerical Modeling and Operations Research applied to infrastructure systems, particularly water supply, sanitation, and flood management. His work bridges governance , tariff design , and climate change adaptation in utility sectors. Expertise in Multicriteria Decision Analysis , Portfolio Optimization , and Data Mining Focus on regulatory governance , nature-based solutions , and sustainable housing His recent publications emphasize water security , resource efficiency , and transdisciplinary collaboration in developing countries. He has contributed to projects like the FANFAR flood forecasting system in West Africa and developed frameworks for wastewater reuse and material tracking in construction . Francisco coordinates R&D initiatives , teaches in academic programs, and serves as a reviewer for ISI journals. His work includes policy design for universal water coverage and assessing the economic feasibility of desalination projects.

• Smart Cities
• Internet of Things (IoT)
• Public Health
• +۳ مورد دیگر

Daniel G. Costa is a Researcher at the Department of Technology within the State University of Feira de Santana (UEFS), Brazil . His work bridges smart cities , IoT , and public health to address urban emergencies like pandemics. Affiliation: State University of Feira de Santana (UEFS), Brazil Email: danielgcosta@uefs.br Research Focus: Costa investigates sensor-based monitoring , social media data mining , and wearable health technologies to enhance outbreak detection and mitigation. His studies emphasize data integration , AI-driven emergency response , and digital health infrastructure in urban environments. Recent Publications: His 2020 article on smart city pandemic initiatives highlights trends in AI for disease prediction , multi-source data processing , and urban emergency systems . Other works span fuzzy logic in sensor networks , open-source hardware , and social media integration for real-time urban monitoring. Collaborations & Projects: Costa collaborates with institutions like the Federal Institute of Bahia (IFBA) and contributes to GeoCovid-19 portal for centralized pandemic data. His research aligns with digital health , urban resilience , and cyber-physical systems in smart cities.

• Machine Learning
• Deep Learning
• Cybersecurity
• +۷ مورد دیگر

Amandeep Kaur is a researcher with affiliations across multiple institutions including the University of Cambridge , IIT Delhi , and Central University of Punjab . Her work spans interdisciplinary fields such as machine learning , deep learning , cybersecurity , and biomedical signal processing . Her research focuses on solving complex problems in healthcare, network security, and agricultural technology. Key contributions include optimizing SDN environments for DDoS attack detection, advancing 6G IoMT applications, and developing deep learning models for rice disease detection and COVID-19 classification using X-rays. The 15 most recent articles highlight her expertise in multi-objective optimization , hybrid algorithms , and federated learning for privacy protection. Topics range from smart city management and blockchain security to medical image segmentation and sentiment analysis in multilingual contexts.

Dimitris Drikakisمشاهده پروفایل

استاد

• Fluid Dynamics
• Computational Science
• Acoustics
• +۳ مورد دیگر

Professor Dimitris Drikakis serves as Vice President for Global Partnerships at the University of Nicosia, Cyprus, and holds a joint professorship in the School of Sciences and Engineering. His academic career spans over 24 years, including roles as Executive Dean and Head of Department at UK universities. His research focuses on fluid dynamics, acoustics, computational science, and nanotechnology, emphasizing uncertainty reduction and physics-based modeling. He has co-authored two books, published over 400 papers, and graduated 45 PhD students globally. Research interests include super-resolution fluid flow analysis, machine learning applications in turbulence simulation, and computational methods for aerodynamics and heat transfer. His work on indoor aerosol transmission and epidemiological modeling has addressed pandemic-related challenges. He serves on editorial boards for journals like Computers and Fluids and Physics of Fluids . Recent articles highlight advancements in deep learning for fluid-structure interaction, shock-wave predictions, and AI-driven thermal optimization. His contributions bridge computational science with real-world engineering and public health applications.

Barbara J. Lenceمشاهده پروفایل

استاد

• Water Resources Management
• Environmental Engineering
• Climate Change Adaptation
• +۳ مورد دیگر

Dr. Barbara J. Lence is a Professor in Civil Engineering at the University of British Columbia (UBC), part of the Faculty of Applied Science. She has been a Full-time Faculty member since 1997 and currently serves as Director of the UBC Master of Engineering Leadership in Integrated Water Management. Her research focuses on optimizing water resources projects, managing water quality under uncertainty, and climate change adaptation. She teaches courses such as CIVL 301 (Optimization and Decision Analysis) and CIVL 554 (Water Resource Management). Dr. Lence holds a doctorate from the University of Illinois at Urbana-Champaign, where her research addressed water pollution control policies and emissions trading. Before joining UBC, she was an Associate Professor at the University of Manitoba. Her work bridges engineering, environmental science, and policy, emphasizing decision-making frameworks for sustainable infrastructure. Key research interests include hydraulic systems, water distribution optimization, and ecological risk assessment. Her awards include the 1980 Walter E. Deuchler Environmental Engineering Award and the M. E. Meade Memorial Scholarship. She has contributed to over 20 peer-reviewed publications since 2012, focusing on algorithmic advancements in water resource systems and disaster resilience strategies.