جست‌وجوی استاد و پژوهشگر

Diamantis Panagiotopoulosمشاهده پروفایل

استاد

• Aegean Bronze Age
• Cultural Interaction in Eastern Mediterranean
• Archaeological Theory
• +۴ مورد دیگر

Prof. Dr. Diamantis Panagiotopoulos is a Professor of Classical Archaeology at Heidelberg University's Institute of Classical Archaeology, serving as its Managing Director since 2012. His academic foundation includes a doctorate from Heidelberg University (1996) and a habilitation from Salzburg University (2003), both focused on Aegean Bronze Age archaeology. Panagiotopoulos's research explores Aegean Bronze Age societies, with emphasis on seal practices, iconography, cultural interactions, and archaeological landscapes. His work integrates theoretical frameworks with material culture analysis to examine Minoan-Mycenaean administration, transcultural exchanges in the Eastern Mediterranean, and heritage preservation strategies. His publications reflect a strong trajectory toward computational methods in archaeology and interdisciplinary approaches, with recent articles leveraging digital tools for seal analysis and landscape modeling. Earlier works established foundations in ritual studies and cross-cultural encounters. Awards include fellowships from the German Archaeological Institute (DAI), DAAD, and DFG, recognizing his contributions to Bronze Age archaeology. He directs excavations at Koumasa (Crete) and co-leads the Heidelberg Corpus of Minoan and Mycenaean Seals.

Imre Hamarمشاهده پروفایل

استاد

• Chinese Buddhism
• Huayan Buddhism
• Buddhist Philosophy
• +۷ مورد دیگر

Professor Imre Hamar, holding a Doctor of Science (DSc) degree, serves as Director of the Institute of East Asian Studies and Head of the Department of Chinese Studies at Eötvös Loránd University (ELTE). He earned his PhD in 1997, habilitated in 2004, and became a full professor in 2008. His academic leadership spans multiple institutions, including directing the ELTE Confucius Institute since 2006. Doctor of Science (DSc) - Institute of East Asian Studies Professor - Department of Chinese Studies Director - Confucius Institute (since 2006) A leading scholar in Chinese Buddhism with a specialization in Huayan philosophy, Hamar has dedicated decades to studying Tang Dynasty religious thought, Buddhist exegesis, and classical Chinese texts. His research traces the development of Buddhist doctrines in China and their cross-cultural transmission through Central Asia. He has taught Chinese religious history, classical Chinese texts, and Buddhist philosophy across undergraduate and postgraduate levels at ELTE. His academic publications focus on the Huayan tradition , Avatamsaka-sutra interpretations, and Yogacara-Huayan synthesis . Recent works examine syncretism in Chinese Buddhist commentaries and the cult of Mount Wutai, reflecting his ongoing engagement with Buddhist sacred geography. Scientific recognition includes: Pro Universitate Award (Gold Level, 2010) Excellent Confucius Institute Director Award (2011) Fulbright Fellowship (University of Virginia, 2008-2009) Numata Guest Professorship (Hamburg University, 2010) He has received multiple research grants from the Japan Foundation, DAAD, and Chiang Ching-kuo Foundation. His editorial work includes co-editing Reflecting Mirrors: Perspectives on Huayan Buddhism (2007) and several volumes in the ELTE Sinological Workshop series.

Manuel Kleinerمشاهده پروفایل

دانشیار

• Host-Microbe Interactions
• Microbial Ecology
• Metaproteomics
• +۷ مورد دیگر

Manuel Kleiner is an Associate Professor in the Department of Plant and Microbial Biology at North Carolina State University. His research focuses on metabolic and physiological interactions in host-microbe systems, microbial ecology, and the application of metagenomics and high-resolution mass spectrometry to study complex microbiota-host relationships. Research Highlights: Development of metaproteomic techniques to quantify protein expression, analyze community structure via biomass contributions, and track isotope ratios to understand nutrient flow between hosts and microbiota. Creator of the "transductomics" approach to detect horizontal gene transfer via viral transduction in intestinal systems. Collaborates with researchers such as Theriot, Sartor, Sheikh, Ziegler, and Gonzalez. Recent Trends: His 2025 publications emphasize gut microbiome dynamics, maize root-microbe interactions, transplantation biology, and advancements in metaproteomic methodologies. Key themes include dietary impacts on microbiota, stable isotope probing, and synthetic microbial communities for plant and human health. Laboratory Tools: The Kleiner Lab utilizes quantitative metagenomics, high-resolution mass spectrometry, and computational modeling to dissect functional interactions in symbiotic systems across diverse environments, from marine organisms to agricultural crops.

Michael Schrammمشاهده پروفایل

استاد

• Classical Philology
• Ancient Philosophy
• Neoplatonism
• +۷ مورد دیگر

Prof. Dr. Michael Schramm serves as an Extraordinary Professor of Classical Philology at the University of Göttingen's Faculty of Humanities. His academic journey spans prestigious institutions including Heidelberg, Jena, Leipzig, and Bielefeld, with doctoral and habilitation degrees establishing his expertise in ancient philosophical traditions. Research interests center on Neoplatonism, Greek tragedy reception, and Late Antique political-religious dynamics, particularly focusing on Julian the Apostate's theological works and Euripides' influence in imperial philosophy. His publications demonstrate rigorous engagement with textual criticism, philosophical exegesis, and intercultural dialogue between pagan and early Christian thought. Current research includes DFG-funded projects on Julian's religious philosophy (2015-2019) and Euripidean tragedy's relationship to providence (2020-2021), alongside a Gerda Henkel Foundation research fellowship (2020-2021). His editorial leadership in volumes like Euripides-Rezeption in Kaiserzeit und Spätantike (2020) shapes contemporary scholarship in classical reception studies. Advisory roles include postdoctoral mentoring through DFG research groups, with institutional service comprising temporary professorships at Bamberg, Bonn, Tübingen, and Jena since 2012. His methodological approach integrates philological precision with philosophical analysis across monographs, critical editions, and interdisciplinary handbooks.

Zina Makarمشاهده پروفایل

استادیار

• Prison Law
• Criminal Procedure
• Criminal Law
• +۲ مورد دیگر

Zina Makar is an Assistant Professor of Law at the University of Baltimore School of Law, specializing in prison law, criminal procedure, and civil rights. Her work critically examines the intersection of carceral systems and legal rights, with a focus on prisoners’ rights and the transformative impact of technology on incarceration. Education L.L.M., Georgetown University Law Center J.D., University of Maryland Francis King Carey School of Law B.S., University of Maryland Research Interests Makar’s scholarship delves into the jurisprudence of prison law, exploring how carceral spaces shape individuals’ relationships with the state. Her recent work investigates the role of carceral technologies in redefining the nature of incarceration. She examines the ethical and legal implications of surveillance technologies in prisons, the erosion of dignity in prison law, and the systemic issues of pretrial detention and bail reform. Her research also addresses the procedural aspects of criminal law, including the Supreme Court’s shadow docket and the implications of per curiam decisions. She advocates for doctrinal integration to address disenfranchisement and unnecessary incarceration, contributing to broader conversations on criminal justice reform. Scientific Awards Baltimore City Bar Association's Public Interest Attorney of the Year Award (2017) Grants and Advocacy Before entering academia, Makar was an Open Society Institute Fellow from 2014 to 2016. During her fellowship, she established the Pipeline to Habeas program, which serves as a model for the Baltimore City Office of the Public Defender in challenging wrongful pretrial detention. Her advocacy efforts led to the pretrial release of 101 protestors arrested following the death of Freddie Gray, highlighting her commitment to bail reform and civil rights. Labs and Teams While no specific lab or research team is mentioned, her collaborative work with the Baltimore City Office of the Public Defender underscores her ongoing engagement with legal practitioners and reform advocates.

Andrew Bassettمشاهده پروفایل

پژوهشگر

• Genome Engineering
• Neurodegenerative Diseases
• Stem Cell Research
• +۵ مورد دیگر

Dr. Andrew Bassett serves as Head of the Cellular and Gene Editing Research group at the Wellcome Sanger Institute, where he develops cutting-edge genome engineering techniques using human pluripotent stem cells to investigate neurodegenerative diseases including Alzheimer's and Parkinson's. His work focuses on scaling genetic screening approaches and improving CRISPR specificity for modeling complex disease mechanisms. His academic training includes: PhD at the MRC Laboratory of Molecular Biology (MRC-LMB) with Andrew Travers on chromatin remodelling in heterochromatin formation Postdoctoral research with David Baulcombe at the University of Cambridge studying small RNA roles in chromatin modification Additional postdoctoral work with Chris Ponting at the MRC Functional Genomics Unit (MRC-FGU) in Oxford, where he pioneered CRISPR applications in Drosophila Bassett's research program centers on developing advanced genome engineering methodologies for precise modulation of gene expression networks during development and neurodegeneration. His group specializes in creating complex editing events (SNPs, paired knockouts, enhancer perturbations) within iPSC-derived models, with particular emphasis on epigenetic regulation and transcriptional control. Current projects integrate single-cell 'omics and phenotypic assays to decode genetic causes of neurodegenerative disorders through the OpenTargets consortium. Analysis of his 15 most recent publications reveals dominant trends in CRISPR technology development (35%), neurodegenerative disease modeling (30%), and single-cell functional genomics (25%). His work consistently bridges methodological innovation with disease mechanism studies, increasingly incorporating multi-omics approaches and expanding into cancer immunology and infectious disease applications since 2022. As group leader, Bassett mentors postdoctoral researchers and PhD students while securing major funding for genome engineering initiatives. His team operates within the Sanger Institute's Cellular Operations division and maintains critical partnerships with the OpenTargets consortium for therapeutic target validation. The laboratory specializes in high-throughput screening platforms using iPSC-derived neural and microglial models, with recent methodological advances including scSNV-seq and ONE-STEP tagging systems that significantly enhance precision genome editing capabilities.

Rita Aielloمشاهده پروفایل

دانشیار مدعو

• Music Psychology
• Neuroaesthetics of Music
• Cognitive Processes in Music
• +۴ مورد دیگر

Rita Aiello is an Adjunct Associate Professor in the Department of Psychology at New York University's College of Arts & Science. Her research focuses on the cognitive and perceptual processes involved in musical listening, with particular emphasis on neuroaesthetics, music learning, and memory. She holds an Ed.D. from Columbia University and has held faculty positions at institutions including the Juilliard School and the Manhattan School of Music. Her work bridges music theory, cognitive science, and education, with a lifelong background as a classical pianist. Education: Columbia University (Ed.D.), Manhattan School of Music (M.M., B.M.), Conservatorio San Pietro a Maiella (Diploma in Music Theory) Certifications: Kodály and Orff Methods Her research explores how musical training influences cerebral dominance, the relationship between mental representations and emotional responses to music, and the cognitive underpinnings of musical memory. She has published widely on topics ranging from musical expectation to pedagogical strategies for memorization. Recent work investigates evolutionary perspectives on singing and the psychological mechanisms behind musical communication. Publications reflect interdisciplinary engagement with music's structural rules, metaphorical dimensions, and its role in human cognition. While no specific grants or awards are listed, her extensive international teaching experience includes visiting roles at institutions in Rome and Lugano, Switzerland, and an honorary appointment at Columbia University's Teachers College.

Mohsen Yoosefzadeh Najafabadiمشاهده پروفایل

استادیار

• Dry Bean Breeding
• Computational Biology
• Omics-Based Selection
• +۵ مورد دیگر

Dr. Mohsen Yoosefzadeh Najafabadi is an Assistant Professor in the Department of Plant Agriculture at the University of Guelph, Ontario Agricultural College. He holds a PhD in Plant Breeding from the University of Guelph (2022), following M.Sc. and B.Sc. degrees from the University of Tehran. His research focuses on dry bean breeding, computational biology, and integrating omics technologies to enhance crop resilience and productivity. Key areas include developing stress-tolerant dry bean varieties, leveraging remote sensing for trait prediction, and optimizing genomic selection methods. He leads the Dry Bean Breeding & Computational Biology Program and has contributed to over 30 peer-reviewed publications since 2017. Education : PhD, Plant Breeding, University of Guelph (2022) M.Sc., University of Tehran B.Sc., University of Tehran Research interests emphasize computational tools development (e.g., AllInOne preprocessing framework), omics-based selection strategies, and non-Mendelian heredity mechanisms. His lab combines machine learning with field phenotyping to address agricultural challenges such as disease resistance and climate adaptation. Collaborative projects include soybean cold stress analysis and cannabinoid profile prediction in cannabis. Publications span genomic approaches to crop improvement, remote sensing applications, and transcriptomic studies. He teaches courses in plant breeding methodologies and actively engages in technology transfer initiatives. Lab activities include developing high-yielding dry bean cultivars resistant to biotic/abiotic stresses and advancing data-driven pipelines for crop breeding. Future work aims to synergize AI with multi-omics data to enhance crop resilience in diverse environments.

Virginia de Saمشاهده پروفایل

استاد

• Machine Learning
• Neuroscience
• Brain-Computer Interfaces
• +۵ مورد دیگر

Virginia de Sa is a Professor in the Department of Cognitive Science at the University of California, San Diego. Her research integrates computational modeling, psychophysics, and machine learning to investigate visual and multi-sensory perception, with a focus on understanding how humans learn and perceive through neural mechanisms. Her work emphasizes the synergy between human learning and machine learning, applying insights from both fields to advance understanding of perception. Notable projects include developing brain-computer interface (BCI) systems and analyzing biases in facial expression recognition algorithms. She leads the de Sa Lab, which explores the neural basis of learning through interdisciplinary methods, including EEG analysis and biologically inspired algorithms. Key research directions include improving BCI usability through adaptive spatial filtering, investigating pain assessment via facial and electrophysiological data fusion, and enhancing AI fairness in facial expression analysis. Dr. de Sa has contributed to grants such as the NSF-funded CHS project to enhance BCI reliability and collaborates on initiatives like AI-READI to improve healthcare data practices. Her lab’s BCI division focuses on interpreting EEG data for assistive technologies, while her work on divisive normalization bridges biological insights with artificial neural network design. Ongoing efforts explore zero-shot learning and the generalization of neural models to unseen tasks. Dr. de Sa’s interdisciplinary approach spans neuroscience, computer science, and engineering, with a commitment to advancing both theoretical understanding and practical applications in human-computer interaction.

Giuseppe Santucciمشاهده پروفایل

دانشیار

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.

• Internet Governance
• Intellectual Property Law
• Website Accessibility
• +۷ مورد دیگر

Professor Catherine Easton serves as Professor in Information Technology and Intellectual Property Law at Lancaster University's School of Law, with additional affiliations at Security Lancaster and the Centre for Law and Society. Her work bridges legal scholarship with practical technology implementation, focusing on digital inclusion and governance frameworks. Her research centers on internet governance, domain name regulation, intellectual property law, and accessibility for disabled users. She examines how legal frameworks interact with human-computer interaction systems, particularly in crisis response scenarios and educational technology. Her scholarship consistently addresses the tension between regulatory compliance and genuine digital inclusion, with special attention to the UN Convention on the Rights of Persons with Disabilities. Her recent publications reveal growing emphasis on autonomous systems regulation, particularly regarding disability access in driverless vehicles, and ethical frameworks for cloud-based disaster response. The scholarly trajectory shows evolution from foundational website accessibility analysis toward complex systems governance in emerging technologies. Higher Education Academy International Scholarship recipient MMU Promising Researcher Fellow (2011) Co-chair of UN Internet Governance Forum's Internet Rights and Principles Dynamic Coalition Treasurer of British and Irish Law, Education and Technology Association Guest editor for Web Journal of Current Legal Issues Disability Special Edition Professor Easton actively develops legal education technologies, having created interactive teaching resources for major textbooks and pioneered clicker technology applications in law classrooms. She leads initiatives like the National Law Student Forum and has presented extensively on MOOCs and legal pedagogy. Her Security Lancaster affiliation connects her work to broader research on information transparency and crisis response ethics, where she examines big data's implications for inclusion and human rights.

Karin Verspoorمشاهده پروفایل

استاد

• Artificial Intelligence in Medicine
• Biomedical Natural Language Processing
• Health Informatics
• +۳ مورد دیگر

Professor Karin Verspoor is the Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia. She previously held roles as Director of Health Technologies and Deputy Head of the School of Computing and Information Systems at the University of Melbourne, and as Scientific Director of Health and Life Sciences at NICTA's Victoria Research Laboratory. Her research focuses on applying artificial intelligence methods to biomedical discovery and clinical decision support, particularly through natural language processing of clinical texts and biomedical literature. Affiliations: RMIT University (STEM College), Australian Alliance for Artificial Intelligence in Health (Victorian Node Lead) Industry Experience: Intelligenesis/Webmind Corp., Applied Semantics, Los Alamos National Laboratory, National ICT Australia Research Interests: Artificial Intelligence in Medicine Biomedical Natural Language Processing Health Informatics Computational Biology Cheminformatics Her work emphasizes cross-modal data integration, EHR analytics, and AI-driven clinical tools to address challenges in healthcare outcomes, musculoskeletal disorders, and infectious disease surveillance. Advising & Grants: Supervises research on AI-based decision-making frameworks, EHR data quality, and chemical knowledge extraction. Leads projects funded by initiatives like CANAIRI (Collaboration for Translational AI in Healthcare). Labs & Collaborations: Co-founder of the Australian Alliance for AI in Health, advancing national AI healthcare policy and translational research.

Ina Fiterau Brosteanمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Health Informatics
• +۳ مورد دیگر

Ina Fiterau Brostean is an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where she leads the Information Fusion Lab. Previously, she was a Postdoctoral Fellow at Stanford University's Mobilize Center (2015–2018) and earned her PhD in Machine Learning from Carnegie Mellon University (2015). Her research focuses on hybrid systems for multimodal data integration, particularly in healthcare, aiming to develop predictive models for clinical outcomes using time series, text, and images. Key areas include disease trajectory modeling, weakly-supervised transfer learning, and adaptive representation learning. Education: PhD in Machine Learning (Carnegie Mellon, 2015), MSc in Machine Learning (Carnegie Mellon, 2012), BEng in Computer Engineering (Politehnica Timisoara, Romania, 2009). Professional roles include teaching COMPSCI 651 (Optimization in Computer Science) and organizing NeurIPS workshops on Machine Learning in Healthcare. Research interests span machine learning methodologies for healthcare applications, including interpretable models, time series analysis, and dimensionality reduction. Notable achievements include the Marr Prize (ICCV 2015) and Star Research Award (SCCM 2016). Her lab collaborates on projects like predicting Alzheimer's disease progression and surgical outcomes using Bayesian networks and deep learning. Awards and recognitions include Rising Stars Workshop (2016), Manning IALS Research Award (2019), and GE Foundation Scholar Leader Award (2007). She actively contributes to the ML4Health community through leadership roles and workshop organization.

James S. Duncanمشاهده پروفایل

استاد

• Biomedical Image Processing
• Quantitative Image Analysis
• Cardiac Function Analysis
• +۴ مورد دیگر

James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University, with additional appointments in Electrical & Computer Engineering and Radiology & Biomedical Imaging. His research focuses on biomedical image processing, quantitative image analysis using geometrical models, and applications in cardiac function and neuro-structure analysis. He has pioneered image-guided interventions and developed computational frameworks for medical imaging challenges. He holds a Ph.D. from the University of Southern California. His work integrates AI, deep learning, and statistical decision-making to advance medical imaging technologies. Notable contributions include advancements in 3D image segmentation, deformable models, and MRI-based tumor response assessment. Dr. Duncan has received prestigious awards, including IEEE Fellow (2001) and induction into the American Institute for Medical and Biological Engineering (2000). His recent research spans AI-driven hemodynamics modeling, trustworthy healthcare AI guidelines, and molecular MRI innovations in immunotherapy monitoring. He collaborates across disciplines to address challenges in cardiovascular, neuroimaging, and oncological applications.

Franz Huberمشاهده پروفایل

دانشیار

• Formal Epistemology
• Philosophy of Science
• Logic
• +۱ مورد دیگر

Franz Huber is an Associate Professor in the Department of Philosophy at the University of Toronto (St. George campus). He holds an MA from the University of Salzburg, Austria, and a PhD from the University of Erfurt, Germany. His primary research areas include Formal Epistemology, Philosophy of Science, Philosophical Logic, and Metaphysics. Huber’s work focuses on belief revision, counterfactual reasoning, and means-end rationality, often employing formal methods to address philosophical problems. His publications include influential books like A Logical Introduction to Probability and Induction (2018) and Belief and Counterfactuals (2021), as well as numerous peer-reviewed articles in journals such as Synthese and Journal of Philosophical Logic . His research explores the foundations of epistemology and metaphysics, particularly through ranking theory and its applications to belief change, counterfactuals, and causal reasoning. Huber has also contributed to the philosophy of science, examining confirmation theory and the logic of scientific reasoning. His recent work emphasizes a means-end approach to philosophical problems, integrating instrumental rationality with normative theory. Huber’s publications demonstrate a commitment to bridging formal methods with traditional philosophical inquiry. His academic contributions include editing volumes on belief revision and co-authoring works on ranking theory. He maintains an active research agenda, reflected in his latest book Causality, Counterfactuals, and Belief (2025). His office is located in the Jackman Humanities Building, and he is affiliated with the University of Toronto’s philosophy faculty and research initiatives such as the Balzan Research Project on Styles of Reasoning.