جست‌وجوی استاد و پژوهشگر

Jaana Kaarina Bäckمشاهده پروفایل

استاد

• Forest Ecology
• Atmospheric Sciences
• Plant Ecophysiology
• +۴ مورد دیگر

Professor Jaana Kaarina Bäck is affiliated with the University of Helsinki, serving in the Faculty of Agriculture and Forestry's Department of Forest Sciences. She leads the 'Ecosystem processes' research group and oversees ecosystem research at the SMEAR measurement network. Her work bridges forest ecology, atmospheric science, and climate change mitigation, focusing on forest-atmosphere interactions and biogenic volatile organic compounds (BVOCs). PhD in Physiological Plant Ecology (University of Oulu, 1994) Docentship in Forest-Atmosphere Interactions (University of Helsinki, 2010) Docentship in Plant Ecophysiology (University of Oulu, 1998) Bäck's research explores how boreal forests influence atmospheric composition, carbon cycling, and climate dynamics. She investigates BVOC emissions, ecosystem responses to climate change, and feedback mechanisms between vegetation and the atmosphere. Her recent publications (277 total) analyze carbon dynamics after forest thinning, aerosol production in boreal ecosystems, and harmonized environmental observations via eLTER. These works span soil functions, air quality, and climate risk research. Knight, First Class, Order of the White Rose of Finland (2021) Open Science Award (University of Helsinki, 2018) Pro Scientia Award (Finnish Academy of Sciences and Letters, 2017) Bäck supervises 3 postdoctoral researchers, 4 doctoral students as main supervisor, and 12 as co-supervisor. She has secured over 6 M€ in research funding, including EU Horizon grants and Academy of Finland projects.

Muhammad Ali Gulzarمشاهده پروفایل

استادیار

• Fault Localization
• Big Data systems
• Data Intensive scalable computing
• +۵ مورد دیگر

Muhammad Ali Gulzar is an Assistant Professor in the Computer Science Department at Virginia Tech and an Amazon Scholar at Amazon Web Services. His research focuses on improving developer productivity through automated debugging and testing for applications in emerging domains, including data-intensive software such as dataflow programs, ML/AI applications, and computational notebooks. Education Ph.D. in Computer Science from University of California, Los Angeles (Google Ph.D. Fellow 2017-2020) Research Interests Gulzar's research spans three primary areas: (1) automated tracking-code localization techniques in web applications, (2) re-engineering testing and debugging for data-intensive applications, and (3) advancing current testing and debugging practices in Federated Learning Applications. His work addresses the challenges of debugging in complex systems where traditional approaches fail due to the scale and distributed nature of modern applications. His research has significant implications for improving software quality, developer productivity, and accessibility in web applications. Research Trends Recent publications demonstrate a strong focus on debugging and testing challenges in emerging application domains. His work bridges traditional software engineering with machine learning, data-intensive systems, and web technologies. Notably, he has made significant contributions to Federated Learning debugging (FedDebug), accessibility challenges in ad-driven web applications, and semantic caching for Large Language Models. His approach often combines novel algorithmic insights with practical implementations that address real-world challenges in software development and maintenance. Scientific Awards Google Ph.D. Fellow (2017-2020) $1.1 million NSF award for Federated Learning research ACM CCS 2024 Distinguished Artifact Award Advising and Grants Gulzar leads a productive research group with multiple students contributing to publications in top-tier venues. His NSF-funded research on Federated Learning demonstrates his ability to secure competitive funding for innovative projects. His advising style appears to emphasize practical impact alongside theoretical contributions, with students often taking lead roles in publications. Current research directions include debugging techniques for Large Language Models, accessibility challenges in modern web applications, and novel testing approaches for distributed data processing systems.

Franz Lennard Ricklefsمشاهده پروفایل

استاد

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +۵ مورد دیگر

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

Philip Booneمشاهده پروفایل

عضو هیئت علمی

• Medical Genetics
• Genomics
• Pediatric Genetics
• +۴ مورد دیگر

Philip Boone, MD, PhD, is an Attending Physician in the Division of Genetics and Genomics at Boston Children's Hospital and an Instructor of Pediatrics at Harvard Medical School. He specializes in medical genetics with particular expertise in rare disorders, medical mysteries, deletion and duplication syndromes, and Cornelia de Lange syndrome. Dr. Boone sees patients at Boston Children's Brookline location (2 Brookline Place, 7th Floor) and provides comprehensive genetic care including diagnostics, counseling, and individualized management. Stanford University (Undergraduate, 2006) Baylor College of Medicine (Graduate & Medical School, 2013-2014) Boston Combined Residency Program (Internship & Residency, 2016-2020) Harvard Medical School Genetics Training Program (Fellowship, 2020) Dr. Boone's research focuses on neurodevelopmental disorders, chromatin regulation, and genetic diagnostics. His work spans from fundamental genetic mechanisms to clinical applications, with particular emphasis on cohesinopathies including Cornelia de Lange syndrome. He has contributed significantly to understanding genetic variants associated with growth disorders, developmental features, and structural chromosomal abnormalities. His research combines advanced genomic technologies with clinical insights to improve diagnosis and management of rare genetic conditions. Analysis of Dr. Boone's publication record reveals a strong focus on medical genetics with emphasis on neurodevelopmental disorders, chromatin regulation, and genetic diagnostics. His work spans basic research on gene function and regulation to clinical applications in rare disease diagnosis. A notable trend is his investigation of cohesin complex disorders, particularly SMC3 variants and their relationship to Cornelia de Lange syndrome. His publications demonstrate expertise in both traditional genetic analysis and cutting-edge genomic technologies including long-read sequencing and telomere-to-telomere assembly. Dr. Boone actively contributes to medical education through publications on genetic diagnostics and distance learning resources for medical genetics. He has co-authored educational materials that help advance the field's knowledge base and training capabilities. As an attending physician in the Division of Genetics and Genomics at Boston Children's Hospital and a research fellow in the Center for Genomic Medicine at Massachusetts General Hospital, Dr. Boone works within one of the largest pediatric genetics practices in the country. The division includes over 30 board-certified clinical geneticists, genetic counselors, dieticians, and nursing staff who provide comprehensive care for patients with both common and extremely rare genetic conditions.

• Climate Change Adaptation in Agriculture
• Land Use Modeling
• Biodiversity Conservation
• +۳ مورد دیگر

Thomas Berger is a Professor at the University of Hohenheim , affiliated with the Faculty of Agricultural Sciences and leading the Department of Economics of Land Use . He also contributes to the Computational Science Hub and Hohenheim Tropics initiatives. Focus Areas: Climate change adaptation, land-use modeling, biodiversity-productivity trade-offs, agent-based simulation, and machine learning in agricultural systems. Key Projects: Simulation frameworks for smallholder resilience in Ethiopia, bioeconomic modeling in the Amazon, and hybrid intelligence applications in European agricultural policy. Recent Publications: 2025 study on climate change effects on insecticide reduction in Germany, 2024 work on reconciling biodiversity with productivity via hybrid models, and 2023 methodological contributions to surrogate modeling and seasonal forecast integration. Research Trends: Interdisciplinary integration of climate science, agricultural economics, and computational modeling, with increasing emphasis on AI-assisted decision support systems and sustainability policy validation. Teaching & Outreach: Offers Agricultural Economics seminars and Hohenheim Tropics discussions, requiring advance email registration for office hours.

Jorge Piekarewiczمشاهده پروفایل

استاد

• Nuclear Theory
• Neutron Stars
• Dense Matter
• +۶ مورد دیگر

Prof. Jorge Piekarewicz is a Professor of Physics at Florida State University (FSU), affiliated with the College of Arts and Sciences. He earned his Ph.D. in theoretical nuclear physics from the University of Pennsylvania in 1985, followed by postdoctoral research at Caltech and Indiana University. Since 1990, he has been a faculty member at FSU. Education: Ph.D. in Theoretical Nuclear Physics, University of Pennsylvania (1985) Postdoctoral Fellowships: California Institute of Technology and Indiana University Research Interests: His work focuses on extreme-density nuclear matter in neutron stars, bridging terrestrial experiments and astrophysical observations. Key areas include: Neutron star structure and equation of state Weak interaction probes (e.g., parity-violating electron scattering) Multi-messenger astronomy insights from neutron star mergers Covariant energy density functionals and symmetry energy constraints Articles Trends: Recent work emphasizes refining the nuclear equation of state using PREX-CREX experiments, gravitational wave data (e.g., GW170817), and Bayesian methods. Key themes include neutron skin thickness, crust-core interactions, and symmetry energy sensitivity. Service & Outreach: Nuclear Science Advisory Committee (2012–2015) FRIB Theory Alliance Director (2017–2021) INT National Advisory Committee Chair (2018–2020) OLLI Lecturer on stellar evolution and neutron stars Collaborations: Active involvement with CERN, FRIB, JLab, and the Facility for Rare Isotope Beams (FRIB). Research leverages facilities like the Relativistic Heavy Ion Collider and the National Superconducting Cyclotron Laboratory.

• Neuroscience
• Imaging (MRI & PET)
• Dopamine
• +۳ مورد دیگر

Lars Nyberg is a Professor of Neuroscience at Umeå University's Medical Faculty and Director of the Umeå Centre for Functional Brain Imaging (UFBI) since 2001. He has held concurrent roles as Guest Professor in Bergen and Oslo, Norway, and led the Wallenberg Centre for Molecular Medicine (WCMM) from 2019. His academic leadership includes directing major initiatives like the EU-funded Lifebrain project (2017–2022) and holding the Torsten & Ragnar Söderberg Research Professorship in Medicine (2012–2017). Education: PhD in Psychology (1993) and Docent (1996) from Umeå University, with postdoctoral training at the Rotman Research Institute, Toronto. His research focuses on neuroimaging techniques (MRI/PET), dopamine systems, working memory, aging, and episodic memory. Key contributions include linking dopamine receptor availability to cognitive decline and demonstrating brain maintenance mechanisms in aging. Research Interests: Neuroimaging of memory systems, dopamine's role in cognition, aging-related brain changes, and cognitive reserve. Grants: EU Horizon 2020 (Lifebrain, €10M), KA Wallenberg Scholarships (2009, 2016), Swedish Research Council funding for COBRA (2013–2017). His awards include Royal Swedish Academy of Sciences membership (2008), Mångbergs Prize in Neural Sciences (2008), and multiple Wallenberg grants. Nyberg has supervised 27 PhD students and 11 postdocs, advancing translational neuroscience and aging research through interdisciplinary teams at UFBI and WCMM.

• Biomedical signal and image analysis
• Deep learning
• Computational statistics
• +۵ مورد دیگر

Chee-Ming Ting is an Associate Professor in the School of Information Technology at Monash University Malaysia. His expertise lies in machine learning, data science, and biomedical engineering, with a focus on signal processing, computational neuroimaging, and computer-aided detection. Previously, he held positions at King Abdullah University of Science and Technology (Research Scientist) and Universiti Teknologi Malaysia (Senior Lecturer). He has authored over 26 journal papers and 43 conference papers, and has secured research grants totaling RM2.5 million as PI/Co-PI. Education: PhD in Mathematics - Statistics, Master of Engineering in Electrical Engineering, and Bachelor of Engineering (Hons.) in Electrical & Electronics Engineering. Research interests include biomedical signal/image analysis, deep learning, spatio-temporal modeling, and neuroimaging applications for disease prediction and patient monitoring. He has supervised 9 graduate students (4 PhD, 5 Masters) and currently oversees 10 PhD candidates. Awards include the IEEE Signal Processing Society Malaysia's Research Excellence Award (2019, 2022) and several national/international innovation awards. His work contributes to UN Sustainable Development Goals related to health and technological advancement. Key projects include frameworks for neurological disease prediction using brain networks and generative adversarial networks for medical imaging enhancement.

• Immunology
• Gastroenterology
• Mucosal Immunology
• +۳ مورد دیگر

Mahima Swamy is a Principal Investigator and Wellcome Trust Sir Henry Dale Fellow at the MRC Protein Phosphorylation and Ubiquitylation Unit (PPU) at the University of Dundee. Her research focuses on understanding immune interactions at the intestinal epithelium, particularly the role of intraepithelial lymphocytes (IEL) in maintaining gut homeostasis and resisting infections. She leads a lab investigating IEL biology, including their regulation by PIM kinases and LRRK2 in inflammatory bowel diseases (IBD) and Crohn’s disease. Dr. Swamy earned her BSc in Biological Sciences from BITS Pilani and completed her PhD at the Max-Planck Institute in Freiburg, Germany. She held postdoctoral fellowships at CRUK London Research Institute and the University of Dundee before establishing her independent group in 2016. Her work combines proteomics, mouse models, and in vitro co-cultures to explore IEL signaling pathways and their dysregulation in diseases. Key research interests include: IEL-mediated protection against pathogens, metabolic adaptations of IEL to the gut environment, and the role of LRRK2 in intestinal immune function. Her lab collaborates with the Alessi lab to study LRRK2 inhibitors for IBD therapy. Education: BSc (BITS Pilani) → PhD (MPIIB, Germany) → Postdocs (CRUK, Dundee) Lab Members: Includes PhD students (Rebecca Pemberton, Srishti, Neema Skariah) and postdocs (Amanpreet Chawla, Purbasha Bhattacharya) Collaborations: Tayside Immunology Group, Society for Mucosal Immunology Scientific achievements include discoveries of PIM kinases in IEL function and LRRK2’s role in gut inflammation. Her group has pioneered tools like phospho-proteomic analyses and epithelial organoid:IEL co-cultures.

• Plant Systematics
• Mycology
• Phylogenomics
• +۶ مورد دیگر

Matthew D. Barrett is a researcher at James Cook University , specializing in plant systematics and fungal taxonomy. His work spans diverse areas including angiosperm phylogenomics, fungal biodiversity, and conservation biology of rare Australian flora. Research Focus : Phylogenomic analysis, fungal systematics, and ecological adaptations of Australian plant species. Publications : Contributed to major studies in Nature , Studies in Mycology , and Telopea , with a particular emphasis on Western Australian endemics. His recent publications highlight integrative approaches combining morphological and molecular data for taxonomic revisions, particularly in Basidiomycota and Orchidaceae.

Timothy H. Murphyمشاهده پروفایل

استاد

• Neuroscience
• Stroke Recovery
• Brain Circuit Mapping
• +۵ مورد دیگر

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

Martin M. Montiمشاهده پروفایل

استاد

• Neuroscience
• Disorders of Consciousness
• Traumatic Brain Injury
• +۴ مورد دیگر

Martin M. Monti is a Professor of Psychology, Neurosurgery, and Psychiatry and Biobehavioral Sciences at the University of California Los Angeles (UCLA), affiliated with the College of Letters and Science. His research focuses on disorders of consciousness, traumatic brain injury (TBI), neuroimaging, and cognitive neuroscience. He holds an MA and PhD in Psychology & Neuroscience from Princeton University (2006–2007) and a BA in Economics from Università Commerciale L. Bocconi (2002). Key research interests include understanding consciousness recovery mechanisms, neuroimaging techniques for TBI assessment, and neuromodulation therapies. Recent work explores subcortical correlates of sleep quality, AI-driven models of consciousness, and transcranial focused ultrasound applications. Monti has received prestigious awards, including the UCLA Life Science Faculty Award (2020, 2014) and the International Prize Giuseppe Sciacca for Medical Research (2018). He leads interdisciplinary projects through collaborations like the ENIGMA working group and the Curing Coma Campaign, advancing global neuroimaging standards and translational research.

• Reinforcement Learning
• Machine Learning Theory
• Online Learning
• +۲ مورد دیگر

Csaba Szepesvari is a Professor in the Department of Computing Science at the University of Alberta and Canada CIFAR AI Chair at Amii. His research focuses on developing efficient learning algorithms for sequential decision making problems, with particular emphasis on reinforcement learning theory, online learning, and bandit algorithms. Research interests include: Foundations of reinforcement learning and online decision making Convergence properties of learning algorithms Bandit problems and exploration-exploitation tradeoffs Function approximation in machine learning His publications demonstrate consistent theoretical contributions to understanding algorithmic convergence, complexity, and efficiency in reinforcement learning. Recent work explores LLM uncertainty estimation, policy gradient methods, and offline-to-online learning transitions. Leadership roles include: Foundations team lead at DeepMind Organizer of RL Theory Virtual seminar series He mentors graduate students in theoretical machine learning through the University of Alberta and Amii research programs.

• Cryptography
• Information Security
• Authenticated Encryption
• +۳ مورد دیگر

Assoc Prof Wu Hongjun is an Associate Professor at the Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). His research focuses on cryptography and information security, with notable contributions to lightweight authenticated encryption algorithms like TinyJAMBU and ACORN, as well as cryptanalysis of stream ciphers (e.g., ZUC, HC-128) and hash functions (e.g., JH, SHA-3 candidates). His academic career includes over 15 years of contributions to cryptographic standards, IoT security frameworks, and secure cloud data management. Key areas of expertise encompass symmetric-key cryptography, algorithm design for resource-constrained devices, and vulnerability analysis of cryptographic primitives. Prof Wu has authored influential papers on authenticated encryption modes (AEGIS, MORUS), lightweight cipher optimizations (ACORN), and cryptanalysis techniques applied to Feistel networks and stream ciphers. His work bridges theoretical cryptography with practical implementations across telecommunications, IoT, and cloud computing domains.

Ronald Heddenمشاهده پروفایل

استاد

• Chemical Engineering
• Polymer Science
• Nanomaterials
• +۳ مورد دیگر

Ronald Hedden is a Professor of Practice in the Department of Chemical and Biological Engineering at Rensselaer Polytechnic Institute (RPI), where he focuses on innovations in undergraduate education and polymer science. Previously, he served as an Associate Professor at Texas Tech University (2009–2017). His current research emphasizes Virtual Reality (VR) integration into chemical engineering education, including the development of a Virtual Chemical Plant (VCP) simulation to provide safe, cost-effective access to process equipment. His research interests span chemical engineering, polymer science, soft materials, and nanomaterials. Notable projects include applying VR for teaching process safety and dynamics, as well as exploring nanocomposite materials and membrane technologies. He also investigates polymer rheology and structure-property relationships using advanced characterization techniques like NMR and SANS. Hedden teaches both core chemical engineering courses and interdisciplinary engineering subjects. His work bridges academic research and practical applications, with contributions to biofuel refining, asphalt modification, and nanoparticle incorporation in polymers. While no specific awards are listed, his extensive publication record highlights impactful contributions to materials science and educational technology. His advisory work involves student projects on VR simulations and materials engineering. He collaborates on initiatives like the VCP platform, aimed at advancing safety training and process control education. Hedden’s career reflects a commitment to both cutting-edge research and transformative pedagogy in engineering education.