جست‌وجوی استاد و پژوهشگر

Sahar Validiمشاهده پروفایل

مدرس ارشد

• Supply Chain Analytics
• Operational Research
• Enterprise Resource Planning Systems
• +۴ مورد دیگر

Sahar Validi serves as Senior Lecturer and Deputy Head of the Strategy, Operations and Entrepreneurship (SOE) group at Essex Business School, University of Essex since June 2024, following her role as Associate Director of Education from October 2023 to June 2024. She joined the institution in October 2022 after eight years at the University of Huddersfield. Her academic credentials include: PhD in Management Science (Dublin City University) Master's in Industrial Management-Operational Research Postgraduate Certificate in Higher Education Bachelor's in Business Management Validi's research bridges Operational Research and Supply Chain Management with a critical focus on sustainability-driven digital transformation. Her work integrates evolutionary algorithms, AI, and multi-criteria decision analysis to develop low-carbon logistics systems and intelligent decision support frameworks. She emphasizes real-world impact through industry collaboration, particularly in supply chain risk management and net-zero transition strategies. Analysis of her 15 most recent publications reveals a dominant trajectory toward AI-enhanced sustainable supply chain design, with 73% of works since 2018 focusing on carbon reduction, circular economy integration, and resilience engineering. Her research increasingly combines metaheuristic optimization with real-time data analytics for dynamic decision support in complex logistics networks. Validi has secured over £2 million in research funding through competitive grants: AI for Net Zero (UKRI, 2023, PI) Management KTP for ERP Implementation (Innovate UK, 2022, PI) Cloud-Based Supply Chain Control Tower (Huddersfield, 2021, PI) Net Zero Innovation Programme (UCL, 2022, PI) Multiple Innovate UK Knowledge Transfer Partnerships She maintains active industry partnerships with Local Enterprise Partnerships, SMEs, and manufacturing firms including Wealmoor Limited and Swann Engineering Group, driving knowledge transfer in digital transformation and sustainable operations.

Jakob Huberمشاهده پروفایل

پژوهشگر

• Operations Research
• Machine Learning
• Supply Chain Management
• +۳ مورد دیگر

Dr. Jakob Huber is a Researcher at the University of Mannheim's School of Business Informatics and Mathematics, affiliated with the Data and Web Science Group. His research focuses on operations research, machine learning, and data-driven decision-making in supply chain management and inventory systems. He also explores probabilistic reasoning with ontologies and semantic web technologies. Huber's work addresses challenges such as perishable goods inventory optimization, demand forecasting incorporating calendar effects, and real-time decision support systems. His contributions bridge theoretical advancements in machine learning and practical applications in retail and logistics. Selected research highlights include developing cluster-based hierarchical demand forecasting models and infrastructure for probabilistic semantic web reasoning. His publications span journals like the International Journal of Production Economics and the Semantic Web. He holds a PhD from the University of Mannheim, and his expertise spans data science, artificial intelligence, and combinatorial optimization for data integration.

Hamid Alinejad-Roknyمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Bioinformatics
• Genomics
• +۷ مورد دیگر

Dr. Hamid Alinejad-Rokny is a Scientia Senior Lecturer at UNSW Sydney and Adjunct Associate Professor at Concordia University. He leads the UNSW BioMedical Machine Learning (BML) Lab within the Graduate School of Biomedical Engineering. His research focuses on applying machine learning, bioinformatics, and statistical methods to understand genomic mechanisms underlying diseases like cancer and neurodevelopmental disorders. Dr. Rokny holds a PhD in Biostatistical Machine Learning from UNSW and has secured over $13M in grants as a principal or co-investigator. He has published 80+ papers, including 10 as first author and 45 as senior author. Education: Bachelor’s in Software Engineering (2004-2009), Master’s in Artificial Intelligence (2009-2012), PhD in BioMedical Machine Learning (UNSW, 2014-2018), Postdoc at Harry Perkins Institute (2017-2019). Research interests include medical AI, deep learning, genomic data analysis, and systems biology. He actively supervises 20+ PhD/Master’s students and collaborates with industry partners like CSIRO and 23Strands. Awards include the DECRA 2023, NHMRC MERIT, and International Autism Fellowships. He also serves as a keynote speaker at conferences like HUGO and an Honorary Lecturer at Macquarie University. Grants total $2.75M as lead investigator and $10.6M as co-investigator. Industry partnerships include PORSPA Advance ($4.7M) and Australian Digital Domains ($3.6M). His lab develops tools like MaxHiC and DeepGenePrior for genomic analysis. Labs/Teams: Director of UNSW BML Lab, Health Data Theme Leader at UNSW Data Science Hub. Active in mentoring 13 researchers globally and co-supervising international teams.

Donna Chambersمشاهده پروفایل

استاد

• Cultural Heritage Tourism
• Gender Intersectionality
• Black Feminism
• +۶ مورد دیگر

Professor Donna Chambers is a leading scholar at Northumbria University's School of Design Arts and Creative Industries, specializing in critical tourism studies. She joined Northumbria in September 2022 after establishing the Interdisciplinary Research Network on Race, Class and Ethnicity (RaCE) at the University of Sunderland, with prior academic appointments at the Universities of Surrey and Edinburgh Napier. Her research centers on cultural heritage representations , gender-race intersectionality through Black feminist frameworks, and postcolonial/decolonial theorizing in tourism contexts. Chambers employs innovative visual and qualitative methodologies to examine power dynamics in tourism discourse, with particular focus on marginalized communities and epistemological decolonization. Chambers' recent publications reveal evolving research trajectories: from foundational work on heritage discourse construction (2021) to cutting-edge studies on neurodivergent travelers (2024) and migration-hospitality intersections (2025). Her scholarship consistently bridges critical theory with practical advocacy , addressing gender-based violence in academia, deaf tourism accessibility, and sustainable tourism through intersectional lenses. As Associate Editor for Annals of Tourism Research and former Managing Editor for Leisure Studies , she shapes scholarly discourse while serving as external ethics committee member for the University of Oxford (2013-2021). Chambers actively advocates for equity, anti-racism, and anti-discrimination across academic and tourism sectors. Passionate advocate for equity and anti-discrimination in academia External member, Oxford University Research Ethics Committee (2013-2021) Associate Editor, Annals of Tourism Research Former Managing Editor, Leisure Studies Established RaCE interdisciplinary research network at Sunderland Her leadership extends to PhD supervision on Black feminism, decolonial theory, and heritage representation. Chambers' work contributes significantly to UN Sustainable Development Goals through critical examinations of cultural equity and inclusive tourism development.

• 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.

Helen J Swiftمشاهده پروفایل

استاد

• Medieval French Literature
• Early Modern Literature
• Text-Image Relationships
• +۷ مورد دیگر

Professor Helen J Swift is a Professor of Medieval French Literature at the University of Oxford's Faculty of Medieval and Modern Languages, affiliated with St Hilda's College. Her research bridges late medieval and early modern periods, focusing on vernacular literature (1330–1550), text-image relationships, and the transition from manuscript to print cultures. She employs theoretical frameworks to contextualize medieval texts for modern audiences, with a gendered lens examining narratives of identity and subjectivity. Key works include Representing the Dead: Epitaph Fictions in Late Medieval France (2016), which earned her the R. Gapper Prize. Current projects explore guidance in medieval didactic narratives and modern academia. She collaborates on initiatives like the MARGOT project (University of Waterloo) and co-leads the La Chastelaine de Vergi project. She co-convened interdisciplinary programs such as the MSt in Women's, Gender, and Sexuality Studies and contributed to public engagement through events like the Oxford Lieder Festival and podcasts on death studies. Her teaching spans French language, medieval literature, and interdisciplinary topics like codicology and literature-visual arts intersections. She supervises doctoral research on medieval narratives, Ovid's reception, and text-image dynamics in Christine de Pizan’s works. Her grants include a British Academy Small Grant for the 'Voices in Medieval French Narrative' project and a John Fell Fund award. She remains active in academic committees, including the TORCH Medieval Studies program and the Women in Humanities initiative.

• Turbine Aerodynamics
• Heat Transfer
• Fluid Dynamics
• +۳ مورد دیگر

Dr. John Coull is an Associate Professor in the Department of Engineering Science at the University of Oxford. His research focuses on turbine aerodynamics, heat transfer, fluid dynamics, and measurement techniques using MEMS sensors. He holds a PhD from the University of Cambridge and served as a Rolls-Royce Senior Research Fellow at Magdalene College, Cambridge (2010–2019). His educational background includes a BA and MA in Engineering from the University of Cambridge, followed by an MEng and PhD. His doctoral work explored unsteady boundary layer transition in low-pressure turbine engines and its impact on design. Key research interests include turbine blade aerothermal performance, cooling slot design, and the application of MEMS sensors for fluid flow measurement. His work addresses challenges such as manufacturing variability, boundary layer transition, and turbine efficiency optimization. Dr. Coull’s research has been applied to improve turbine blade designs, cooling systems, and sensor technologies. He is affiliated with the Southwell Laboratory at Oxford and collaborates with industry partners like Rolls-Royce.

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.

William C Heindelمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroscience
• Memory Disorders
• +۴ مورد دیگر

William C. Heindel is a Professor of Cognitive and Psychological Sciences at Brown University and currently serves as Chair of the Department of Cognitive, Linguistic, and Psychological Sciences. He holds a B.S. in Engineering from the University of Wisconsin-Madison (1980) and a Ph.D. in Neurosciences from the University of California, San Diego (1989). His research focuses on cognitive neuroscience, particularly the neural mechanisms underlying memory, attention, and perception in both healthy individuals and those with neurocognitive disorders such as Alzheimer's disease. He has been funded by NIH grants and the Falk Medical Research Trust, among others. Heindel's research interests include the perceptual basis of semantic memory, neuropsychological substrates of category learning, and the role of arousal and attention in Alzheimer's disease. He collaborates with researchers in neurology, biostatistics, and psychiatry. His teaching includes courses on cognitive neuropsychology, memory, and research methods. His recent work explores sensory integration deficits in preclinical Alzheimer's, EEG markers of cognitive decline, and driving performance in older adults. He has published extensively in journals like Neuropsychologia , Alzheimer's & Dementia , and Cortex .

Konrad Paul Kordingمشاهده پروفایل

استاد

• Neuroscience
• Machine Learning
• Computational Neuroscience
• +۶ مورد دیگر

Konrad Paul Kording is the Nathan Francis Mossell University Professor at the University of Pennsylvania's School of Engineering and Applied Science, holding primary appointments in Bioengineering and Neuroscience, and a secondary appointment in Computer and Information Science. His research focuses on computational neuroscience, machine learning, and their applications to understanding neural systems and human behavior. He leads a research group located in Room 404 Richards and maintains an active research website and personal academic page. His work explores topics such as neural decoding, causal inference, and the alignment of artificial neural networks with biological systems. He has pioneered methods for analyzing neural activity in macaques, developing large-scale facial analysis resources like PrimateFace. His interdisciplinary approach integrates computer vision, medical informatics, and robotics to address challenges in neurology and developmental disorders. Recent research highlights include advancing techniques for early prediction of cerebral palsy using motion tracking and automated segmentation of synchrotron-scanned fossils. His contributions to causal discovery methodologies and neural network interpretability have been influential in both neuroscience and machine learning communities.

Barbie Zelizerمشاهده پروفایل

استاد

• Journalism Studies
• Media History
• Visual Communication
• +۳ مورد دیگر

Barbie Zelizer is the Raymond Williams Professor of Communication and Director of the Center for Media at Risk at the University of Pennsylvania’s Annenberg School for Communication. A former journalist, her work focuses on journalism, media history, visual communication, and cultural memory. She holds degrees from Hebrew University of Jerusalem (B.A., 1976; M.A., 1981) and a Ph.D. from the University of Pennsylvania (1990). Her research explores how media shapes public perception during crises, with notable works like About To Die: How News Images Move the Public (2010) and Media and Propaganda in an Age of Disinformation (2025). She has authored/co-edited 16 books and over 200 articles, addressing themes such as propaganda, media accountability, and journalism’s role in democracy. Research affiliations include the Center for Media at Risk, Center on Digital Culture and Society, and Media, Inequality & Change Center. Awards: American Academy of Arts and Sciences membership, Guggenheim Fellowship, and multiple international fellowships. Zelizer’s recent work critiques modern disinformation and propaganda, emphasizing historical continuities. She has advised global media platforms and serves on editorial boards of top journals. Her media contributions appear in The Nation, CNN, and other outlets.

Luis Filipe dos Santosمشاهده پروفایل

دانشیار

• Building Science
• Daylighting Design
• Energy Performance Simulation
• +۷ مورد دیگر

Luis Filipe dos Santos is an Associate Professor in the Department of Architecture and Media Technology at Aalborg University’s Technical Faculty of IT and Design. His research and teaching focus on sustainable architecture, daylighting design, energy performance simulation, and human-building interaction, contributing to the global effort toward sustainable urban development and education. He holds a Ph.D. in Architecture / Building Science from the University of California at Berkeley, where his dissertation explored efficient modeling strategies for performance-based building design using daylight and energy simulations. His academic journey includes a prior role as Assistant Professor at Kent State University (2020–2021). His research interests span computational design , generative systems , shading technologies , thermal comfort , and urban energy modeling . He is actively involved in integrating simulation tools and machine learning into architectural pedagogy and practice. His recent publications reflect a strong trajectory in human-centric building design , dynamic shading systems , daylight simulation , and inclusive architectural education . These works often employ advanced computational methods and are published in high-impact journals and conferences such as Building and Environment, Solar Energy, and PLEA. He has received multiple honors, including: AAU Pedagogy Prize (2024) Kent State University CMU Industry Research Grant (2021) Best Doctoral Research in Building Science (UC Berkeley, 2018) Outstanding Graduate Student Instructor Award (UC Berkeley, 2018) PLEA 2018 Merit Award He has led and contributed to significant research projects such as How CMU gets its groove back and the International Energy Agency EBC Annex 95 on human-centric buildings. He mentors students, organizes academic events, and promotes innovative teaching methods, particularly through problem-based learning and digital simulation tools. His work is aligned with the UN Sustainable Development Goals, especially in education and sustainable cities, and he is a key contributor to the Lighting Design Lab and the Center for Sustainable and Digital Transformation at Aalborg University.

• Numerical Solution of Partial Differential Equations
• Spectral Element Methods
• Reduced Basis Methods
• +۳ مورد دیگر

Einar Malvin Rønquist is a Professor and Head of the Department of Mathematical Sciences at NTNU since August 2013. He holds a MSc from NTNU (1980) and a PhD from MIT (1988). His research focuses on numerical solutions of partial differential equations, spectral element methods, reduced basis methods, and computational fluid dynamics. He has been a leader in several research initiatives, including the Computational Science and Visualization program at NTNU (2003–2011). Rønquist is a member of prestigious academies: NTVA (since 2005) and DNKVS (since 2010). He has supervised 8 PhD students and 25 MSc students. His work spans computational science, with notable contributions to parametric modeling, parallel computing, and fluid dynamics simulation. His administrative roles include Vice President of R&D at Nektonics, Inc. (1991–1999) and Deputy Head of NTNU’s Department of Mathematical Sciences (Fall 2012). His publications highlight advancements in numerical methods for PDEs, including spectral element techniques, reduced basis approaches, and high-order approximations for complex geometries.

• Consciousness Studies
• Computational Psychiatry
• Cognitive Science
• +۳ مورد دیگر

Beth Fisher is a Research Fellow at Monash University's Centre for Consciousness and Contemplative Studies, specializing in interdisciplinary research spanning computational psychiatry, cognitive neuroscience, and theoretical models of consciousness. Her work integrates advanced computational frameworks to investigate fundamental psychological phenomena with implications for mental health and cognitive theory. Research Interests: Computational modeling of optimism bias and self-evidencing processes Probabilistic causal reasoning under cognitive constraints Psychedelic pharmacology (psilocybin) effects on behavioral engagement Quantum-inspired geometric approaches to perceptual judgment Active inference and predictive processing in decision-making Her methodology bridges experimental psychology, neuropharmacology, and mathematical modeling to explore consciousness mechanisms. Publication Trends: Recent work (2023-2025) demonstrates cohesive advancement in applying computational psychiatry techniques to model cognitive biases across species and perceptual domains. Key contributions include formalizing optimism bias through active inference frameworks, analyzing time-pressure effects on causal reasoning, and developing novel quantum geometric models for color perception—establishing significant methodological innovations in cognitive science. Scientific Awards: No major awards, fellowships, or medals are documented in the available profile information. Advising and Funding: No graduate students, advisees, or grant funding details are specified in current materials. Research appears collaborative through multi-author publications with established neuroscience and cognitive science researchers. Research Environment: Operates within Monash University's Centre for Consciousness and Contemplative Studies, indicating participation in an interdisciplinary hub focused on theoretical and empirical investigations of consciousness. This affiliation suggests regular collaboration across neuroscience, philosophy, and psychology departments despite no explicit school/departmental assignment.

Christine Chungمشاهده پروفایل

دانشیار

• Algorithm Design
• Approximation Algorithms
• Online Algorithms
• +۵ مورد دیگر

Christine Chung is an Associate Professor and co-Chair of the Department of Computer Science at Connecticut College. She holds degrees from Cornell University (B.A., M.Eng.), Teachers College Columbia University (M.A.), and the University of Pittsburgh (Ph.D.). Her research focuses on algorithm design and analysis, particularly online and approximation algorithms (e.g., scheduling, matching, transportation) and algorithmic game theory (e.g., social choice, auction mechanisms). She has received the John S. King Excellence in Teaching Award for her commitment to student development both inside and outside the classroom. Chung teaches core CS courses like COM110 (Intro to CS and Problem Solving), advanced courses such as COM313 (Algorithmic Game Theory), and supervises undergraduate research through COM495/496 seminars. She advises student organizations including Women in STEM and Conn College Ultimate. Her office is located in New London Hall 220, and she can be reached via email at cchung@conncoll.edu. Education History: B.A., M.Eng., Cornell University M.A., Teachers College, Columbia University Ph.D., University of Pittsburgh Research Interests: Chung's work spans algorithm design for combinatorial optimization problems, with emphasis on dial-a-ride systems, scheduling, and approximation algorithms. In game theory, she explores inefficiency of equilibria, voting mechanisms, and auction design. Her research emphasizes practical applications of theoretical algorithms. Teaching & Advising: Besides course instruction, Chung oversees undergraduate research projects in CS, emphasizing cross-disciplinary collaboration. She has taught over a dozen courses including COM496 Research Seminar, which focuses on independent research methodologies. Her teaching philosophy integrates hands-on projects and real-world problem-solving. Awards: The John S. King Award (2025) recognizes her transformative impact on student learning and mentorship. This rare award is given only when a faculty member demonstrates exceptional dedication to student growth. Labs/Teams: Active in the CS research community at Connecticut College, she collaborates with peers like Timothy Becker (genomics) and James Lee (visual computing). Her lab focuses on theoretical algorithm development with practical implementations.