جست‌وجوی استاد و پژوهشگر

• Human Genetics
• Genetic Mutations
• Neurodevelopmental Disorders
• +۳ مورد دیگر

Professor Anne Goriely is a Professor of Human Genetics at the University of Oxford's Radcliffe Department of Medicine. Her research focuses on understanding the mechanisms of genetic mutations, particularly in the context of paternal age effects and their association with congenital disorders such as Apert syndrome and neurodevelopmental disorders. She leads the Goriely Group, investigating genetic mosaicism and the role of RAS signaling pathways in spermatogenesis. Her work has revealed concepts like 'Selfish Spermatogonial Selection,' explaining how certain mutations enrich in aged testes, increasing transmission risk. This mechanism links paternal age to diseases like schizophrenia and autism. Recent studies include exploring SMAD4 mutations in Myhre syndrome and de novo variants in neurodevelopmental syndromes. Her publications highlight advancements in germline mutation analysis, personalized recurrence risk counseling (PREGCARE), and the implications of paternal age on genetic disorders. She contributes to clinical genetics through tools like amplimap for NGS data analysis.

Gim Hee Leeمشاهده پروفایل

دانشیار

• Computer Vision
• Robotic Perception
• Machine Learning
• +۳ مورد دیگر

Gim Hee Lee is an Associate Professor at the Department of Computer Science, National University of Singapore (NUS) School of Computing. He heads the Computer Vision and Robotic Perception (CVRP) Laboratory and holds affiliations with the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the NUS Institute of Data Science (IDS). Previously, he was a researcher at Mitsubishi Electric Research Laboratories (MERL) in the USA and worked at DSO National Laboratories in Singapore. Education Dr.sc. in Computer Science from ETH Zurich M.Eng. in Mechanical Engineering from National University of Singapore B.Eng. in Mechanical Engineering (1st Class Honors) from National University of Singapore Research Interests Professor Lee's research focuses on Computer Vision , Robotic Perception , and Machine Learning , with specialization in dynamic 3D scene reconstruction, event camera applications, and cross-view geo-localization. His work bridges theoretical advances with real-world applications in autonomous systems and augmented reality, particularly through neural scene representations and geometric computer vision techniques. Scientific Awards Faculty Teaching Excellence Award (AY 2018/19 and AY 2017/18) CVPR 2014 Doctoral Consortium Travel Award Finalist for IROS 2012 Best Paper Award Finalist for IROS 2012 Best Video Award Advising and Service Professor Lee serves as Associate Editor for IJCV and has held Area Chair positions for major conferences including CVPR, ICCV, ECCV, and NeurIPS. He chaired Program Committees for 3DV 2022 and served as Demo Chair for CVPR 2023. His research on the Cross-View Matching Network (CVM-Net) demonstrated real-time ground-to-aerial geo-localization in moving vehicles, establishing a benchmark for subsequent research in this field. Laboratories He leads the Computer Vision and Robotic Perception (CVRP) Laboratory at NUS, which develops cutting-edge solutions for 3D scene understanding, event-based vision, and robotic navigation. The lab's work includes acquiring high-quality datasets for dynamic scene reconstruction and advancing neural representations for real-world applications.

• Medical Imaging
• Artificial Intelligence in Healthcare
• Deep Learning
• +۳ مورد دیگر

Dr. David Ng is an academic researcher affiliated with the Faculty of Science at the University of Sydney. His work focuses on advancing artificial intelligence and deep learning techniques for medical imaging applications, particularly in areas such as radiomics, multimodal data fusion, and healthcare diagnostics. He contributes to innovations in MRI, CT, PET, and endoscopic imaging analysis, developing algorithms for disease detection, segmentation, and predictive modeling. His research interests span medical image reconstruction, federated learning, motion artifact reduction, and dynamic epidemiological modeling. He has published extensively on topics such as neural network architectures for biomedical applications, multimodal data integration, and AI-driven diagnostic tools. Key contributions include advancements in sleep staging via multimodal networks, scleral deformation analysis using OCT images, and automatic segmentation techniques for cardiac and tumor imaging. His work emphasizes practical applications in oncology, cardiology, and public health, aiming to improve clinical decision-making through computational methods. Dr. Ng’s research also explores the intersection of virtual/augmented reality with medical education and intervention. He collaborates on interdisciplinary projects involving biomedical engineering, computer science, and clinical practice to address real-world healthcare challenges.

Kornel Labunمشاهده پروفایل

پژوهشگر

• Bioinformatics
• CRISPR Genome Editing
• Computational Biology
• +۳ مورد دیگر

Kornel Labun is a Researcher at the Department of Informatics, University of Bergen. His work focuses on CRISPR genome editing, bioinformatics tool development, and computational biology. He holds a PhD in bioinformatics (2020) and has contributed to high-impact projects like CHOPCHOP, ampliCan, and ORFik. His research integrates advanced sequencing technologies with algorithmic solutions for genetic analysis. Key areas include CRISPR off-target detection, RNA sequencing analysis, and poly(A) tail measurement via tools like tailfindr. Labun's work bridges computational methods with biomedical applications, such as correcting T-cell deficiencies using CRISPR-Cas9 systems. He also develops open-source software for translational research, emphasizing reproducibility and scalability. Labun's projects span bioinformatics education (R Crash Course), game design (Hunter x Hunter tabletop RPG), and computational tools for longevity research. His collaborative efforts have led to widely cited resources like the CHOPCHOP website, used globally by researchers in genome engineering.

Patrick Murigu Kamau Njageمشاهده پروفایل

پژوهشگر

• Food Safety
• Genomic Epidemiology
• Antimicrobial Resistance
• +۷ مورد دیگر

Patrick Murigu Kamau Njage is a Senior Researcher at the National Food Institute, Technical University of Denmark (DTU), affiliated with the Research Group for Genomic Epidemiology and the DTU Microbes Initiative. His work focuses on food safety, pathogen genomics, and antimicrobial resistance, with significant contributions to public health and foodborne disease surveillance. Research Interests: His research spans genomic epidemiology, whole genome sequencing, machine learning applications in microbiology, and microbial risk assessment. He investigates foodborne pathogens such as Listeria monocytogenes , Salmonella , and Escherichia coli , particularly in informal food systems and low-resource settings. His work supports UN Sustainable Development Goals related to health and food security. The recent publications highlight a strong trend in integrating genomics and machine learning for predictive modeling of pathogen behavior and disinfectant resistance. His research also extends to reducing aflatoxin exposure in maize and improving hygiene in informal dairy sectors in Africa, indicating a commitment to global health equity and food safety innovation. Scientific Roles and Grants: Main Supervisor, PhD Project: Epidemiology of gastrointestinal infections and antimicrobial resistance in refugee and rural populations (2024–2027) Supervisor, PhD Project: Applying NGS in foodborne infection epidemiology (2022–2025) Supervisor, PhD Project: Global antimicrobial resistance in bacterial isolates (2020–2024) Co-Principal Investigator, Fleming Fund Professional Fellowship Nigeria Cohort I (2019–2022) Advising: Actively supervising multiple PhD students, including Ndoyi R., Thystrup C. A. N., and Nuanmuang N., reflecting a strong commitment to training the next generation of food safety scientists. Labs and Teams: Member of the Research Group for Genomic Epidemiology and the DTU Microbes Initiative, engaging in interdisciplinary collaborations involving genomics, bioinformatics, and public health. His work involves international partnerships and data sharing for global pathogen surveillance.

Nicolás Vila Blancoمشاهده پروفایل

استادیار

• Medical Image Processing
• Deep Learning
• Biomedical Engineering
• +۴ مورد دیگر

Nicolás Vila Blanco is an Assistant Professor at the University of Santiago de Compostela, primarily affiliated with the Information Technologies Research Center (CiTiUS). His work bridges Medical Image Processing and Deep Learning through software development and algorithm optimization. Education includes: PhD in Information Technology Research (Universities of Santiago de Compostela and Coruña) M.Sc. in Data Science and Computer Engineering (University of Granada) B.Sc. in Computer Science (University of Vigo) Research focuses on applying Artificial Intelligence to biomedical challenges, particularly in dental imaging and cardiac diagnostics . Key contributions include: Developing IDALib (Image Data Augmentation Library) Creating DenTiUS Deep Plaque software for dental plaque analysis Designing PrimerEvalPy for microbiome primer evaluation Building gVARVI for heart rate response analysis Recent publications demonstrate expertise in: Clinical software development Deep learning architectures (U-Net, Few-Shot Learning) Medical imaging applications Biomedical data processing AI in dental diagnostics Microbiome sequencing techniques

Nasreen Anjumمشاهده پروفایل

مدرس

• Cybersecurity
• Cyber-Biosecurity
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Nasreen Anjum is a Lecturer in Computer Science at the University of Portsmouth's Faculty of Technology, with a dual appointment at the Institute of Life Sciences and Healthcare. Her work bridges cybersecurity, artificial intelligence, and biomedical data protection, focusing on securing emerging technologies like IoT, digital twins, and next-generation sequencing systems. PhD in Computer Science, King's College London (2014-2019) Specialist in cyber-biosecurity and AI-driven network security Principal Investigator for UK-Saudi Challenge Fund (2024-2025) Her research spans four key areas: IoT Security : Lightweight cryptography, edge computing integration, and AI-based anomaly detection Cyber-Biosecurity : Genomic data protection, AI-bio convergence security, and NGS threat mitigation Digital Twins : Resilient architectures for healthcare and smart manufacturing applications Edge/Cloud Security : Adaptive access control and hybrid ecosystem protection Selected publications demonstrate interdisciplinary breadth: 2025: Foundational work on cyber-biosecurity in genomic sequencing 2024: Malware awareness education through gamification 2023: Cross-national cybercrime deterrence strategies 2022: IoT applications in pandemic monitoring Scientific recognition includes: Schlumberger Faculty for the Future Fellowship Best Paper Award nomination at IEEE WINCOM Fellow of the Higher Education Academy Actively supervising postgraduate research, Dr. Anjum welcomes PhD candidates in cybersecurity, AI, and technology ethics domains.

• Pathology
• Melanoma Research
• Cancer Biology
• +۳ مورد دیگر

Jeffrey Mito, M.D., Ph.D., is an Assistant Professor of Pathology at Brigham and Women's Hospital . His work bridges pathology , oncology , and translational research , with a focus on molecular diagnostics and cancer biology. Research Interests : Melanoma pathogenesis, radiation-associated sarcomas, immunohistochemical markers, and clinical cytology. Key Collaborations : Leonard Zon, Jason Hornick, Edmund Cibas, Lynette Sholl, Vickie Jo, Andrew Miron. Mito’s publications reveal trends in diagnostic innovation , particularly for pancreatic ductal adenocarcinoma and neurofibromas , with emphasis on biomarker validation (e.g., MTAP, HMGA2) and NGS technologies . Recent work explores neural crest dynamics in melanoma and quality improvement in cytopathology. His scientific contributions include developing immunohistochemical panels for distinguishing pleomorphic adenomas and refining HPV triage protocols for cervical cancer screening. No awards or student advisees are documented in the provided data.

Chi-Ho Ngمشاهده پروفایل

پژوهشگر ارشد

• Additive Manufacturing
• Materials Engineering
• Titanium Alloys
• +۳ مورد دیگر

Dr Chi-Ho Ng is a Research Fellow at the School of Mechanical and Mining Engineering , The University of Queensland . His research focuses on advanced materials processing, particularly in additive manufacturing and surface treatments of titanium alloys. Bachelor (Honours) in Production Technology, Hong Kong Polytechnic University Masters in Manufacturing Technology, Cranfield University PhD in Materials Engineering, The University of Queensland His research interests include: Additive manufacturing techniques (wire arc, laser powder bed fusion) Hot isostatic pressing for defect elimination and microstructure control Laser-based surface modification (nitriding, alloying) Biomedical applications of titanium alloys and coatings Use of machine learning for porosity analysis in 3D-printed materials Recent publications highlight his work on β-fleck defect characterization, cryogenic coolant applications, and machine learning-assisted porosity analysis in titanium alloys. He actively supervises projects related to piezoelectric materials for biomedical applications and has received funding from the Australian Nuclear Science and Technology Organisation for process optimization research.

David Ngمشاهده پروفایل

استاد

• Empirical Asset Pricing
• Fund Flows and Asset Prices
• Implied Cost of Capital
• +۵ مورد دیگر

David Ng is a Professor of Finance at Cornell University, affiliated with the College of Arts and Sciences and the Department of Economics. He holds a Ph.D. in Economics from Columbia University (2000). His research focuses on empirical asset pricing, fund flows, and the impact of institutional dynamics on financial markets. Previously, he served as a Visiting Associate Professor at the Wharton School (2008–2010) and a Research Fellow at Wharton’s Financial Institutions Center. Ng has held visiting roles at the Hong Kong Monetary Authority, Federal Reserve Bank of Boston, and the World Bank. His work bridges finance, organizational behavior, and institutional theory, with contributions to journals like the Journal of Financial Economics and Review of Financial Studies . He has received prestigious awards such as the SUNY Chancellor’s Award for Excellence in Teaching and the Moskowitz Prize. Ng’s research explores topics including the diffusion of innovations, peer review processes, and the influence of managerial fashions. Education: Ph.D., Columbia University (2000) Affiliations: Cornell University, Wharton School, World Bank Ng’s interdisciplinary approach spans finance, organizational studies, and policy analysis. He serves on editorial boards for Review of Financial Economics and China Finance Review International , and his work has been presented globally at venues like the American Finance Association and the European Financial Management Association.

Anne Ngمشاهده پروفایل

مدرس ارشد

• Urban Heat Mitigation
• Climate Change Adaptation
• Environmental Engineering
• +۳ مورد دیگر

Dr. Anne Ng is a Senior Lecturer in the Department of Engineering at the Faculty of Science and Technology. Her expertise lies in mitigating urban heat through green, blue, and grey infrastructures, improving human thermal comfort, and water resources modeling. She has successfully supervised 6 PhD and 1 Master’s students, demonstrating strong mentorship skills across multicultural backgrounds. Her research addresses critical challenges in urban climate resilience, leveraging engineering techniques and machine learning for sustainable solutions. Dr. Ng’s work spans climate adaptation strategies, including optimizing green infrastructure for heat reduction and enhancing water resource management through advanced modeling. Her contributions highlight interdisciplinary approaches to environmental challenges, integrating hydrology, material science, and computational methods. Recent publications focus on machine learning applications for solar irradiation prediction, hydraulic engineering optimization, and SWAT model calibration. These studies underscore her commitment to advancing technologies that address climate change impacts on urban environments and water systems.

Gar Yein Ngمشاهده پروفایل

مدرس ارشد

• Constitutional Law
• Human Rights
• Judicial Studies
• +۸ مورد دیگر

Dr. Gar Yein Ng is a Senior Lecturer in Law at the University of Buckingham's School of Law within the Faculty of Computing, Law and Psychology. She holds academic positions at multiple international institutions and specializes in comparative law, judicial governance, and legal technology. Her research focuses on judicial power, AI in law, court management, and the intersection of law and technology. She has contributed to projects for the OSCE and ODIHR, addressing judicial independence and evaluation systems. Education: LLB (Hons) in English Law (Birmingham City), LLM in International and Comparative Law (Maastricht), PhD in Judicial Organization (Utrecht). Her work includes over 30 publications, including books on judicial quality and peer-reviewed articles in fields like constitutional law and e-justice. Research Interests: Judicial independence, AI's role in legal systems, comparative constitutional law, court administration reforms, and digital transformation in justice systems. She has presented at international conferences on topics like judicial governance and the impact of AI on legal decision-making. Professional Contributions: Collaborated with the CEPEJ on judicial performance evaluation, co-authored reports for the Council of Europe, and advised on judicial training programs across Europe. Active in promoting transparency and efficiency in legal systems through technology integration.

Ana Babićمشاهده پروفایل

استادیار

• Digital Transformation
• Artificial Intelligence in Business
• Business Informatics
• +۵ مورد دیگر

Prof. Ana Babić is an Assistant Professor at the Faculty of Engineering (EFRI) , University of Rijeka. Her expertise spans Digital Transformation , Artificial Intelligence in Business , and Medical Genetics . She teaches courses such as 'Application of Digital Technologies in Business' and 'Artificial Intelligence in Business', focusing on strategic digitalization, AI applications, and ethical implications. Her research bridges clinical genetics and bioinformatics, addressing rare diseases, congenital disorders, and epigenetic mechanisms. Her educational background includes a PhD in Biomedical Sciences, with extensive experience in next-generation sequencing (NGS) and genetic diagnostics. Recent research focuses on gene prioritization for rare muscle diseases and epigenetic risk factors in Down syndrome. She has published widely on DNA methylation patterns, congenital heart defects, and diagnostic techniques like optical genome mapping. Teaching & Research Interests Digital Transformation strategies and business model innovation AI ethics and practical implementation in organizational processes Genetic diagnostics for rare disorders using NGS and PCR techniques Epigenetic factors in congenital anomalies and Down syndrome comorbidities Key Contributions Developed frameworks for digital business communication channels and content creation Advanced methodologies for gene prioritization in molecular diagnostics Conducted large-scale epidemiological studies on genetic risk factors in Croatian populations

• Genomics
• Bioinformatics
• Comparative Genomics
• +۷ مورد دیگر

Dr. Jun Ng is a Visiting Professor at the John Curtin School of Medical Research (JCSMR) at the Australian National University (ANU). He is affiliated with the Clinical Hub for Interventional Research (CHOIR) as a visitor and is part of the Polizzotto Group. His research focuses on genomics, bioinformatics, and comparative genomics, with particular interests in structural variation analysis, marine organism genetics, and environmental adaptation mechanisms. He has contributed to projects involving genome assembly and annotation for diverse species such as oysters, reptiles, and fish. His work spans disciplines including molecular genetics, transcriptomics, and evolutionary biology, with a strong emphasis on applying genomic tools to solve biological problems. Notable projects include the development of multi-omic resources for Nicotiana benthamiana and studies on gravitropic gene expression in plants. Dr. Ng also collaborates on software tools for genomic data management, such as the easyfm suite. His publications highlight advancements in genome sequencing technologies, including long-read approaches and multi-platform comparisons. He has explored adaptation mechanisms in organisms facing environmental challenges, such as heat stress in fish and salinity tolerance in catfish. Dr. Ng’s research bridges fundamental biology with applied biotechnology, contributing to fields like aquaculture and plant science.

• Bioinformatics
• Machine Learning
• Genomics
• +۳ مورد دیگر

Dr. Alfredo Iacoangeli is a Reader in Bioinformatics at King’s College London, leading a joint research programme between the Department of Basic & Clinical Neuroscience and the Department of Biostatistics & Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience. His work focuses on computational approaches for neurodegenerative diseases, particularly amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease. He earned his PhD in Life Sciences from Sapienza University of Rome in 2016, specializing in structural bioinformatics. Key roles: Deputy Lead of the Motor Neuron Disease research theme at the NIHR Maudsley Biomedical Research Centre. Expertise: Bioinformatics, machine learning, genomics, and translational research. His research interests include developing computational tools for genomic analysis (e.g., RetroSnake, GEOexplorer), identifying genetic subtypes of ALS, and advancing precision medicine strategies. He has received awards such as the 2024 Paolo Gontijo Award and the 2022 Genes Young Investigator Award. Notable grants include £983k from the Medical Research Council for studying ancient viral DNA in ALS. He collaborates internationally, contributing to initiatives like Project MinE and the ALS Sequencing Consortium. His work bridges computational biology and clinical neurology, emphasizing multi-omics data integration for disease stratification and drug discovery.