جست‌وجوی استاد و پژوهشگر

Christos Papanagnouمشاهده پروفایل

مدرس ارشد

• Logistics Modelling
• Control Theory
• Supply Chain Management
• +۵ مورد دیگر

Dr Christos Papanagnou is a Senior Lecturer in Logistics Engineering at Aston University's School of Infrastructure and Sustainable Engineering, part of the College of Engineering and Physical Sciences. He serves as Programme Director for MSc programs in Supply Chain Management and Engineering Management, and leads research and enterprise initiatives for the Engineering Systems and Supply Chain Management Group. A Fellow of the Higher Education Academy, he holds a PhD in Control Engineering from City University of London. His expertise spans logistics modeling, control theory, and supply chain dynamics, with a focus on Industry 4.0 and IoT integration. Dr Papanagnou has held adjunct roles at several Greek institutions and contributed to R&D in steel manufacturing. He has secured funding from Horizon 2020, ERDF, Innovate UK, and Santander Universities, and evaluates projects for the Regional Digital Health Accelerator and Horizon 2020's Marie Sklodowska-Curie Actions. His research addresses supply chain volatility, inventory control, and disruption mitigation through control theory and big data analytics. Education: MSc (Information Engineering), PhD (Control Engineering), both from City University London. Awards: Dean's Recognition Award (2015) Vice-Chancellor's Distinguished Teaching Award (2017) CILT(UK) LRN Conference 2022 Best Paper Award His work emphasizes sustainable procurement practices, digital twin technologies, and the application of operational research to enhance supply chain resilience. He collaborates with the European Commission on environmental management and advises the International Journal of Strategic Engineering.

• Human-Computer Interaction
• AI in Customer Service
• Digital Marketing
• +۳ مورد دیگر

Dr. Robin Robin is a Senior Lecturer in Marketing (Human-Computer Interaction) at Oxford Brookes Business School, Oxford Brookes University. With a PhD from the University of Huddersfield on privacy complexities in information disclosure, Robin bridges academic research with practical teaching in contemporary marketing issues. Their work focuses on AI applications in customer service, ethical tech practices, and digital marketing strategies. Education: PhD in Marketing (University of Huddersfield) Teaching & Supervision: Modules: Contemporary Issues in Marketing Management, Digital Marketing, Product and Brand Management Supervises undergraduate/postgraduate dissertations on metaverse, AI chatbots, and generative AI applications Research Impact: Focuses on AI-driven customer service optimization and technology ethics, with publications in the Journal of Marketing Management and Journal of Business-to-Business Marketing. Aims to enhance small businesses' tech adoption for competitive advantage. Professional Contributions: Presented at EMAC 2023, Cyberpsychology Conference 2022, and American Marketing Association events Industry background in banking & manufacturing in Southeast Asia

Amna Mirzaمشاهده پروفایل

استادیار

• Language and Reading Development
• Learning Disabilities in English Language Learners (ELLs)
• Multilingual Literacy and Orthographies
• +۳ مورد دیگر

Dr. Amna Mirza is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. Her research focuses on language and reading development, learning disabilities in English Language Learners (ELLs), and the impact of genetics on conditions like Dyslexia. She collaborates with institutions like Wilfrid Laurier University and Brock University on interventions for multilingual literacy improvement. Dr. Mirza also runs teacher training programs internationally, emphasizing literacy principles. She holds a PhD in Developmental Psychology from Wilfrid Laurier University and supervises graduate students at MA/PhD levels. Her office is located in Seton 579, and she can be reached at Amna.Mirza@MSVU.CA. Her work examines reading profiles in diverse orthographies (e.g., Urdu, English) and evaluates vocabulary-based interventions for ELLs. Current projects explore how enriched literacy programs affect 2nd/3rd graders with/without learning disabilities. She also investigates AI ethics, digital transformation, and Industry 4.0 implications across governance and climate change. Education: PhD in Developmental Psychology (Wilfrid Laurier University) Research Collaborations: Wilfrid Laurier University, Brock University International Projects: Teacher training programs on literacy principles Supervision: Accepting MA/PhD students in Education Dr. Mirza’s research bridges educational psychology and technological advancements, addressing both foundational learning challenges and societal impacts of digitalization. Her recent work spans AI-driven governance systems, circular economy opportunities, and ethical challenges in AI applications.

• Evolutionary Computation
• Multi- and Many-Objective Optimization
• High-Dimensional Visualization
• +۳ مورد دیگر

Dr. Amin Ibrahim is an Associate Teaching Professor in the Faculty of Business and Information Technology at Ontario Tech University, specializing in evolutionary computation, optimization, and machine learning. He holds a PhD and MASc in Computer Engineering from Ontario Tech University and a BASc in Computer Engineering from the University of Toronto. His research focuses on multi- and many-objective evolutionary algorithms, high-dimensional visualization, and applying optimization techniques to big data challenges. He has won two Teaching Excellence Awards at Ontario Tech University (2008 and 2018) and contributed to peer-reviewed journals, book chapters, and conferences. Education: PhD in Computer Engineering, Ontario Tech University MASc in Computer Engineering, Ontario Tech University BASc in Computer Engineering, University of Toronto Research interests span evolutionary algorithms, machine learning applications, and optimization-driven solutions for complex systems. Recent work includes electric vehicle infrastructure planning and resilient supply chain design. His articles address multi-objective optimization, risk management, and sustainable transportation. Awards and Honors: Teaching Excellence Award (2008, 2018) Graduate Continuing Scholarship (2008) Graduate Entrance Scholarship (2007) Professional Involvement: Session chair at IEEE World Congress on Computational Intelligence (2016), workshops on cybersecurity and supply chain management, and contributions to IBM CASCON (2008). Active in the Business Analytics & AI Research Group, focusing on transforming data into actionable insights for business decision-making. Teaches courses ranging from cryptography to discrete mathematics and business analytics.

Seokgi Leeمشاهده پروفایل

استادیار

• Distributed Control Systems
• Predictive Analytics
• Artificial Neural Networks
• +۶ مورد دیگر

Dr. Seokgi Lee is an Assistant Professor in the Department of Industrial and Systems Engineering at Youngstown State University (YSU), part of the Rayen School of Engineering. Previously, he served as an Assistant Professor in Industrial Engineering at the University of Miami. He holds a Ph.D. in Industrial and Manufacturing Engineering from Pennsylvania State University and B.S./M.S. degrees in Industrial Engineering from Hanyang University, South Korea. His research focuses on distributed control systems, predictive analytics, and simulation-optimization for service engineering processes in supply chains, transportation, and healthcare. Notable expertise includes energy-aware manufacturing systems, prevention service analytics, and applications of machine learning in logistics and healthcare. Dr. Lee’s educational background includes teaching roles at YSU, the University of Miami, and Penn State, covering courses such as Decision Analysis for Engineering, System Analysis and Design, Operations Research, and Production Systems. He has contributed to institutional service through committees like the New Faculty Search in ISEN (YSU) and PhD recruitment in Industrial Engineering (University of Miami). His research trends emphasize interdisciplinary solutions, blending control theory with machine learning to address energy efficiency, healthcare optimization, and sustainable logistics. Recent publications highlight work on dynamic scheduling algorithms, opioid prescribing disparities, and green transportation systems. While no specific awards are listed, his active engagement in academic service underscores his commitment to institutional advancement. Teaching and advising form a core part of his role, with a focus on graduate and undergraduate engineering curricula. His work integrates real-world applications, such as optimizing infusion center operations and modeling energy costs in manufacturing, demonstrating a strong practical orientation.

Fabien Moutardeمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Fabien Moutarde is a Full Professor and Director of the Center for Robotics at MINES ParisTech (PSL University, Paris, France). He holds a PhD in Physics and an Habilitation to Direct Research in Engineering Sciences. Dr. Moutarde coordinates French engineering education at ParisTech_Shanghai (SPEIT) in China. Research Areas Deep Learning & Reinforcement Learning Computer Vision for Intelligent Vehicles Collaborative Robotics Traffic Analysis & Forecasting Human Gesture Recognition Recent Article Trends His work focuses on autonomous driving using Deep Reinforcement Learning, pedestrian trajectory prediction with spatio-temporal attention, and multi-modal localization techniques combining vision with Wi-Fi. Key applications include urban traffic analysis, collaborative robotics, and end-to-end driving systems. Leadership & Teaching Co-created specialized Machine Learning courses Pioneered Deep Reinforcement Learning lectures Led French-Chinese academic coordination Former UML/Java curriculum developer Publications With 28 h-index, his research includes 30+ IEEE/ACM publications on autonomous vehicles, gesture recognition, and traffic mining. Representative conferences: CVPR, NeurIPS, IROS, ITSC.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Daniel Y Chenمشاهده پروفایل

مدرس

• Data Science Education
• Statistics
• Bioinformatics
• +۳ مورد دیگر

Daniel Y Chen is a Lecturer in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. He holds a PhD Candidate status in Genetics, Bioinformatics, and Computational Biology at Virginia Tech, focusing on data science education in the biomedical sciences. His expertise includes statistical computing, open source software development, and reproducible research practices. Education: PhD Candidate (in progress): Genetics, Bioinformatics & Computational Biology, Virginia Tech MSc: Relevant field (implied via career progression) Research Interests: Daniel's work bridges data science pedagogy and biomedical applications. He focuses on improving computational literacy among medical practitioners through accessible education resources, open source tools, and reproducible workflows. His technical contributions span R and Python ecosystems, including packages like grader and pyprojroot , and authoring Pandas for Everyone . He actively promotes best practices in scientific programming and collaborative software development. Grants & Contributions: Contributions to RStudio's gradethis and learnr packages Open source maintenance (e.g., Arch Linux AUR packages) Labs/Teams: Affiliated with UBC's Data Science for Biomedicine (DS4BIOMED) initiative and Virginia Tech's Social Decision Analytics Laboratory. Collaborates with RStudio and GitHub communities on education and tool development.

• Process Systems Engineering
• Sustainable Chemical Processes
• Environmental Engineering
• +۴ مورد دیگر

Professor Benoit Chachuat is a Professor of Process Systems Engineering in the Department of Chemical Engineering at Imperial College London, UK. He holds affiliations with the Centre for Process Systems Engineering, Industrial Biotechnology Hub, Institute for Molecular Science and Engineering, and Robotics Forum. His research focuses on developing computational methods for sustainable chemical and biological processes, integrating rigorous modeling, optimization, and data analysis to improve industrial processes. Key areas include process optimization, enviro-economic assessments, and advanced control strategies for bioreactors and energy systems. Prof. Chachuat's career includes roles as Senior Lecturer (2010–2015), Reader (2015–2020), and current Professorship (since 2020) at Imperial College. Prior to this, he held positions at McMaster University (2008–2010), EPFL (2005–2008), MIT (2003–2005), and INRIA (2002–2003). His educational background includes a Research and Teaching Assistantship at Lorraine Institute of Technology (1998–2002). His research interests span computational methods for process systems engineering, with emphasis on global optimization, robust control, and Bayesian estimation. Notable projects include enviro-economic assessments of bioenergy, waste-to-X technologies, and sustainable aviation fuels. His work bridges theoretical advancements with practical industrial applications, supported by software tools for method dissemination. Publications highlight contributions to modeling microalgae cultures, membrane contactors in natural gas processing, and vaccination campaign optimization. His enviro-economic analyses address carbon footprints and externalities in chemical processes, aiming for net-zero solutions. Current projects explore machine learning integration in industrial processes and resilience in biopharmaceutical supply chains. Prof. Chachuat collaborates with experimentalists and industry partners, addressing challenges in energy sustainability, circular economy, and pandemic response. His methodologies prioritize safety, economic viability, and environmental stewardship across chemical and biological systems.

• Artificial Intelligence
• Internet of Things (IoT)
• Wireless Communications
• +۴ مورد دیگر

Professor Wei Xiang holds the Cisco Chair of AI and IoT at La Trobe University, leading the Cisco-La Trobe Centre for AI and IoT and the Australian Centre for AI in Medical Innovation. He previously established Australia's first IoT Engineering degree program at James Cook University, earning recognition in the Pearcy Foundation's Hall of Fame. His expertise spans AI, IoT, wireless communications, and medical AI innovation. As an IEEE Associate Editor for multiple journals, he has published over 450 peer-reviewed papers and books. Key roles include: Director & Chief Scientist: Australian Centre for AI in Medical Innovation Founding Director: Cisco-La Trobe AIoT Centre Adjunct Professor: James Cook University Vice Chair: IEEE Northern Australia Section (2016-2020) Research focuses on AI-driven IoT systems, smart agriculture, and medical applications. Awards include La Trobe Research Excellence Award (2021), Pearcey Entrepreneurship Award (2017), and multiple fellowships. Current grants involve AIoT in smart farming, medical innovation, and satellite IoT. He supervises research students in AIoT and advises on collaborative projects. His labs pioneer technologies like radar-based health monitoring and UAV-enabled environmental sensing. Recent publications highlight advancements in wireless communication systems, deep learning models for remote sensing, and hybrid networks.

Christopher Turnerمشاهده پروفایل

مدرس ارشد

• Business Analytics
• Digital Manufacturing
• Industry 4.0
• +۵ مورد دیگر

Dr. Christopher Turner is a Senior Lecturer in Business Analytics with a focus on research in human-centric manufacturing, Industry 5.0 automation, and explainable AI. He is affiliated with the cross-University People-centred AI Institute and the IEEE Task Force on Process Mining. His work bridges advanced technologies like the Metaverse and machine learning with practical applications in logistics and maintenance systems. Education: MSc, MSc, PhD Research interests include business analytics, data mining, machine learning, digital manufacturing, and sustainable distributed manufacturing. Recent publications emphasize the integration of extended reality (XR) in production systems and frameworks for explainable AI. With over 100 peer-reviewed publications and 5,600 citations (H-index 30), his research has significant impact. Notable projects include the AUTONOM initiative (collaborating with Network Rail) and a Knowledge Transfer Partnership (KTP) with Basemap, developing logistics management software. Teaching responsibilities include the MSc module Operations Management and Digital Services within the Operations and Supply Chain in the Digital Era and Entrepreneurship programs.

Agha Iqbal Aliمشاهده پروفایل

استاد

• Data Analytics
• Supply Chain Management
• Operations Research
• +۴ مورد دیگر

Agha Iqbal Ali is the Karen & Chuck Peters Family Endowed Professor of Management Science and Operations Management at the Isenberg School of Management, University of Massachusetts Amherst. He holds a PhD from Southern Methodist University (1980) and prior master's degrees in Mathematics and Statistics. His academic leadership includes serving as Chairman of the Operations & Information Management Department (2013–2018) and the Finance & Operations Management Department (2006–2012). His research focuses on Data Analytics , Supply Chain Management , and Mathematical Programming Models , with notable contributions to disaster relief logistics, FIFA World Cup capacity planning, and banking deregulation analysis. Teaching interests include Operations Management, Optimization, and Algorithm Design. Dr. Ali has been honored with the prestigious Goodeve Medal (2018) from the Operational Research Society, and multiple teaching awards including the College Outstanding Teacher Award (1999–2000). His work bridges theoretical optimization with real-world applications in manufacturing, military personnel planning, and international cooperatives.

Renato Pajarolaمشاهده پروفایل

استاد

• Computer Graphics
• Scientific Visualization
• 3D Modeling
• +۵ مورد دیگر

Prof. Dr. Renato Pajarola is the Head of the Visualization and MultiMedia Lab at the Department of Informatics, University of Zurich. His research focuses on computer graphics, scientific visualization, and geometric processing, with applications in 3D scanning, point cloud analysis, and real-time rendering. He leads a team developing advanced visualization techniques for high-dimensional data, parallel rendering frameworks, and interactive systems for complex datasets. Key research areas include: 3D reconstruction of indoor environments Tensor approximation for volume visualization Interactive ray tracing and point cloud processing Parallel rendering frameworks (e.g., Equalizer) Scientific computing and sensitivity analysis His recent publications emphasize: High-dimensional data exploration using tensor methods Efficient rendering techniques for large-scale point clouds Integration of citizen-reported weather data for environmental analysis Prof. Pajarola’s lab collaborates on projects like VIAN (visual annotation tool for film analysis) and Terrender (web-based terrain visualization). His Erdős number is 3, reflecting interdisciplinary research connections in mathematics and computer science.

Nidal Hilalمشاهده پروفایل

استاد

• Desalination
• Water Treatment
• Membrane Technology
• +۳ مورد دیگر

Professor Nidal Hilal is a leading academic at New York University Abu Dhabi (NYUAD), serving as the Director of the NYUAD Water Research Center. He holds a faculty position in the Department of Chemical and Biomolecular Engineering. His research focuses on advancing desalination, water treatment technologies, and membrane innovation, with an emphasis on sustainable solutions for water scarcity and environmental challenges. Key research themes include solar-driven membrane distillation, nanomaterial-enhanced membranes, and strategies for brine mining and nutrient recovery. He has pioneered work on feed spacer design, anti-fouling surfaces, and the integration of recycled materials into membrane fabrication. His contributions bridge fundamental material science with practical applications in industrial water treatment and renewable energy sectors. Recent studies highlight advancements in proton-selective membranes for lithium battery waste recovery, ultra-high nitrate-selective materials, and scalable electrodialysis systems. His work frequently addresses global water-energy nexus challenges, advocating for circular economy principles in water management. Notably, Dr. Hilal’s lab explores innovative methods to reduce chemical usage in membrane production, enhance membrane longevity, and apply machine learning for optimizing reverse osmosis systems. His interdisciplinary approach has led to breakthroughs in hydrogen generation via polymeric membranes and the development of electrolytic cleaning systems for fouling mitigation. His leadership at NYUAD’s Water Research Center drives collaborative projects on desalination, wastewater reuse, and nanotechnology applications. While no formal student advisees are listed, his research group likely includes postdocs and graduate students engaged in cutting-edge membrane technology research.

Steve Barrمشاهده پروفایل

استاد

• Technology Commercialization
• Entrepreneurship
• Innovation Management
• +۳ مورد دیگر

Steve Barr is the Alumni Association Distinguished Graduate Professor at North Carolina State University's Department of Management Innovation & Entrepreneurship. He specializes in Technology Commercialization, New Business Startup, Entrepreneurship, and Innovation Management. His expertise spans organizational behavior, strategic alliances, and decision-making processes. Dr. Barr earned his Ph.D. in Organizational Behavior from the University of Iowa in 1985. His research focuses on bridging academic innovation with practical commercialization, venture creation dynamics, and trust-based stakeholder relationships. He has pioneered educational programs addressing technology transfer challenges and strategic decision-making in organizational contexts. His work emphasizes leveraging big data for strategic alliances, modular product architecture, and creativity enhancement through technology. He received the NC State Outstanding Teacher Award (2021) and Alumni Association Distinguished Professorship (2021), reflecting his impactful teaching and research contributions. Barr is actively involved in the Technology Commercialization and Entrepreneurship (TEC) initiative at NC State, promoting innovation ecosystems and entrepreneurial education. His research spans over three decades, addressing topics from organizational citizenship behavior to risk aversion in public sector arbitration.