جست‌وجوی استاد و پژوهشگر

Herbert H Tsangمشاهده پروفایل

استاد

• Bioinformatics
• Computational Intelligence
• Machine Learning
• +۷ مورد دیگر

Herbert H. Tsang is a Full Professor in Computing Science & Mathematics at Trinity Western University (TWU), British Columbia, Canada. He also serves as an Adjunct Professor at Simon Fraser University's School of Interactive Arts and Technology. His roles include Director of the Applied Research Lab, Undergraduate Research Academy, and Academy of STEAM at TWU. Dr. Tsang holds a PhD and completed an NSERC Postdoctoral Fellowship at the University of Calgary. His research focuses on computational intelligence, bioinformatics, mobile computing, and health technology applications. He has received notable awards, including the 2018 International E-Learning Award for Mobile Learning and the 2019 CNIE Partnership & Collaboration Award. His work spans grants from NSERC, SSHRC, CIHR, and private foundations. Active in professional societies, he is a Senior Member of IEEE and ACM. Recent projects include mobile application development and interdisciplinary research collaborations. Education: PhD in Engineering/Computer Science (exact program unspecified), NSERC Postdoctoral Fellow (2009–2011) Research Highlights: Phishing detection frameworks, HIV transmission modeling, and mobile learning applications. Grants: Funding from NSERC, SSHRC, CIHR, M.J. Murdock Charitable Trust, and Mitacs. Media & Outreach: Featured in articles on educational technology, including high school coding initiatives and SFU app development projects. Awards Overview: 2019 CNIE Innovation Award 2018 IELA Mobile Learning Award IEEE/ACM Review Service Contributor Advising & Mentorship: Supervises undergraduate/graduate research assistants. Former roles include engineering projects with the Canadian Space Agency and mentorship for Engineers and Geoscientists BC. Labs & Initiatives: Leads TWU's Applied Research Lab, fostering interdisciplinary projects in bioinformatics, computational creativity, and system design. Oversees the Undergraduate Research Academy, promoting student research engagement.

Anne Skaja Robinsonمشاهده پروفایل

استاد

• Biotechnology
• Pharmaceutical Engineering
• Neurodegeneration
• +۵ مورد دیگر

Dr. Anne Skaja Robinson is a Trustee Professor of Chemical Engineering and Biomedical Engineering at Carnegie Mellon University (CMU), serving as Department Head from 2018–2023. Previously, she held leadership roles at Tulane University and the University of Delaware. Her research focuses on protein folding/aggregation, neurodegeneration (tau pathology), and biopharmaceutical production. She has over 85 publications, 23 Ph.D. graduates, and honors including the NSF PECASE Award and AIChE fellowship. Education: B.S., M.S. (Johns Hopkins University, 1988–1989); Ph.D. (University of Illinois at Urbana-Champaign, 1994). Professional roles include Board Member of AIChE (2015–2017), FDA Advisory Committee member, and editorial board positions for Biotechnology and Bioengineering and Biotechnology Journal . Research interests span: (1) GPCR expression and signaling, (2) protein aggregation control for antibodies and AAVs, (3) tau protein mechanisms in Alzheimer’s, and (4) machine learning for gene therapy vector optimization. Recent work applies computational tools to improve AAV production quality. Articles highlight advancements in GPCR dynamics, tau aggregation kinetics, and biomanufacturing process control. Awards recognize her contributions to biotechnology and engineering education. Her lab actively collaborates on FDA advisory work and NIH/NSF projects.

Mike Mamalakisمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +۴ مورد دیگر

Mike Mamalakis is a Senior Research Associate at the University of Cambridge, affiliated with the School of Clinical Medicine and Department of Computer Science and Technology . His research focuses on applied and theoretical AI, particularly in Deep Learning , Multi-Modal AI , and eXplainable AI for biomedical and healthcare applications. Research Themes : Medical imaging, neuroscience, brain tumors, Alzheimer's disease, and foundation models. Collaborations : University of Sheffield (Richard Clayton, Andriew Shift, George Panoutsos), University of Cambridge (Pietro Lio, Murray Graham, John Suckling), and Cancer Research UK Cambridge Centre. His recent work involves developing predictive models for neuroscience using multimodal data (text, imaging, phenotyping, genomics) and applying gradient-based explainability methods to study brain tumors. Publications highlight AI-driven biomarker discovery in COVID-19 , pulmonary hypertension , and cardiac arrhythmias . Current affiliations include the School of Clinical Medicine and CRUK Cambridge Centre. Contact : mm2703@cam.ac.uk | Room GC01, William Gates Building, University of Cambridge.

Minh Buiمشاهده پروفایل

دانشیار

• Computational Biology
• Evolutionary Biology
• Bioinformatics
• +۳ مورد دیگر

Associate Professor Minh Bui leads the Computational Phylogenomics Lab at the School of Computing, Australian National University (ANU). Previously, he was a Research Fellow at the Max Perutz Laboratories in Vienna, Austria. His research focuses on developing computational methods and models for phylogenetic inference, particularly with the widely used IQ-TREE software. He holds a PhD from the University of Vienna (2009), MSc from the University of Freiburg (2005), and BSc from Vietnam National University (2001). His work bridges computing, biology, and statistics, addressing challenges in evolutionary research using ultra-large genomic datasets. Education: PhD in Biology, University of Vienna, 2009 MSc in Biology, University of Freiburg, 2005 BSc in Biology, Vietnam National University, 2001 His research interests include phylogenetic inference, evolutionary genomics, and bioinformatic tool development. He leads an international team developing IQ-TREE, which is applied in studies ranging from ancient life forms to SARS-CoV-2 evolution. Notable recognitions include being a Web of Science Highly Cited Researcher (2021–2023) and an Australian Field Leader in Evolutionary Biology. Recent projects include improving phylogenetic methods for pandemic-scale data and resolving evolutionary relationships in eukaryotes and plants. His grants support software development, pandemic genomic epidemiology, and phylogenetic model innovation. Minh Bui is actively involved in mentoring students and collaborates globally on computational and evolutionary studies.

• Electrophysiology
• f-MRI modeling
• Bioinformatics
• +۷ مورد دیگر

Dr. Keun Hang Yang is a Professor in the Department of Biological Sciences at Schmid College of Science and Technology, Chapman University. Her research focuses on electrophysiology, neuroscience, and pharmacology, with particular expertise in ion channel function and cannabinoid pharmacology. She maintains an active research program investigating the interactions between natural compounds, pharmaceuticals, and neuronal signaling pathways. Dr. Yang received her Bachelor of Science from Ewha Womans University, followed by a Master of Science and Ph.D. from George Mason University. Her educational background in biological sciences has provided the foundation for her interdisciplinary research approach that bridges molecular pharmacology, neuroscience, and computational biology. Dr. Yang's research interests span multiple domains of neuroscience and pharmacology. She specializes in electrophysiology techniques to study ion channel function, particularly focusing on ligand-gated and voltage-gated channels. Her work in cannabinoid pharmacology investigates how phytocannabinoids and endocannabinoids interact with neuronal receptors. She also applies computational approaches to model complex biological systems and has expertise in bioinformatics for analyzing large biological datasets. Additional research areas include the study of flavonoids and other natural compounds on neuronal function, neuropharmacology of pain and psychiatric disorders, and the relationship between environmental factors and health . Analysis of Dr. Yang's recent publications reveals a strong focus on ion channel pharmacology, particularly examining how cannabinoids, flavonoids, and other compounds modulate the function of ligand-gated ion channels such as nicotinic acetylcholine receptors and 5-HT3 receptors. Her work often employs Xenopus oocyte expression systems and mammalian cell models to investigate molecular mechanisms. A significant portion of her research examines drug interactions, particularly how natural compounds might influence the effects of pharmaceuticals. Her publication record demonstrates a consistent trajectory of high-impact research in neuropharmacology with increasing focus on translational applications. Dr. Yang actively collaborates with numerous researchers both within Chapman University and internationally. Her work often involves interdisciplinary teams combining expertise in molecular biology, electrophysiology, and computational modeling. While specific grant information isn't detailed in the available materials, her extensive publication record suggests successful funding from various research sources. She has likely mentored numerous graduate and undergraduate students through Chapman University's research programs, contributing to the development of the next generation of scientists in neuroscience and pharmacology.

• Computational Biology
• Bioinformatics
• Systems Biology
• +۳ مورد دیگر

Dr. Sebastian Falkner is a Research Fellow in Computational Biology at the University of Augsburg, affiliated with the Institute of Physics under the Faculty of Mathematics, Natural Sciences, and Materials Engineering. He holds a postdoctoral position focused on interdisciplinary research at the intersection of physics and biology. His contact information includes the email sebastian.falkner@uni-a.de and office 3016 at BioInnovationScience (Universitätsstraße 1 b, Augsburg). While specific educational details are not provided, his research interests center on computational methods applied to biological systems, including genomics, biophysics, and data-driven approaches in biology. He contributes to the Computational Biology group within the Institute of Physics, collaborating with faculty such as Prof. Dr. Nadine Schwierz and colleagues like Dr. Christian Wiebeler. No specific scientific awards or grants are mentioned in the provided text. His current affiliations and roles emphasize research and academic collaboration within the university's interdisciplinary framework.

• Cancer Biology
• Cell and Molecular Biology
• Therapeutic Antibodies
• +۷ مورد دیگر

Hussein Al-Ali is a Senior Lecturer at Anglia Ruskin University (ARU), based in the Medical Technology Research Centre within the Faculty of Science and Engineering. He specializes in cancer biology, molecular biology, and diagnostics, with a focus on novel anti-cancer therapies and circulating tumour cell detection. He holds roles as Deputy Course Leader for the MSc Applied Bioscience and a member of the Cancer Biology Research Group. Research interests include cancer diagnostics, drug development, antibody design, cell cycle mechanisms, and flow cytometry applications. His work has been recognized with the 2024 Vice Chancellor’s award for advancing a novel anti-cancer antibody from 'bench to bedside'. Teaching responsibilities include leading modules on Molecular Genetics and Bioinformatics, Undergraduate Projects, and Biomedical Science tutorials. He has secured multiple grants totaling over £400,000, collaborating with Innovate UK and pharmaceutical firms to evaluate anti-cancer treatments. His research also involves partnerships with institutions like Brunel University London. Grants: Includes projects on therapeutic antibodies (Annexuzlimab), DNA repair mechanisms, and PARP inhibitors. Labs/Teams: Part of the Cancer Biology Research Group and collaborates with Medannex Ltd and aTen therapeutics Ltd.

Zehor Belkhatirمشاهده پروفایل

مدرس

• Control Systems
• Biomedical Engineering
• Data Analytics
• +۵ مورد دیگر

Dr. Zehor Belkhatir is a Lecturer (equivalent to Assistant Professor) at the University of Southampton, affiliated with the School of Electronics and Computer Science, and serves as the Biomedical Engineering Programme Leader. She is also an Honorary Senior Lecturer at De Montfort University and a member of the Institute of Life Sciences. Her research focuses on control systems theory, data analytics, and biomedical applications, with emphasis on developing robust algorithms for complex systems. Education: Joint MEng and M.Sc. in Automatics and Control Systems Engineering from École Nationale Polytechnique (Algiers), followed by a Ph.D. in Electrical Engineering from KAUST (Saudi Arabia). Prior roles include positions at the University of Leicester, De Montfort University, and a postdoctoral fellowship at Memorial Sloan Kettering Cancer Center (USA). Research projects include EPSRC-funded initiatives like the REFORMIST program for interdisciplinary cancer decision frameworks and dynamic tumor-dose scheduling. Her work bridges theoretical control engineering with real-world applications in biomedical systems, oncology, and cardiovascular health. Teaching specialties include control engineering modules such as Digital Control, Nonlinear Control, and Biosystems Engineering. She actively supervises PhD students in cancer sciences, electronics, and computer science, fostering interdisciplinary collaboration. Awards include a filled US patent for her research contributions. She reviews for top journals/conferences (e.g., IEEE Transactions on Automatic Control) and serves on the EUCA Conference Editorial Board.

• Complex Networks
• Statistical Mechanics
• Economic Complexity
• +۵ مورد دیگر

Yi-Cheng Zhang is a Professor in the Department of Physics at the University of Fribourg, Switzerland. He is affiliated with the Faculty of Science and Medicine, where he contributes to research and teaching in complex systems and network science. His work bridges physics with interdisciplinary applications in economics, finance, and social systems. His research interests focus on complex networks, statistical mechanics, and their applications. This includes studying network dynamics, percolation theory, economic complexity, and information diffusion. He explores topics such as ranking algorithms, social recommendation systems, and the structural analysis of trade and financial networks. His interdisciplinary approach addresses challenges in both theoretical and applied domains, such as optimizing recommendation systems and understanding market dynamics through network models. Yi-Cheng Zhang has contributed to numerous publications on network science, with recent works examining the limitations of PageRank in sports data, the nested structure of world trade networks, and the role of information in economic systems. His research often integrates computational methods and empirical analysis to uncover patterns in complex systems. While specific details on grants or advising are not provided in the available texts, his extensive publication record reflects a sustained commitment to advancing the understanding of interconnected systems across multiple disciplines.

Aydın Buluçمشاهده پروفایل

استاد مدعو

• High-performance graph analysis
• Parallel sparse matrix computations
• Communication-avoiding algorithms
• +۳ مورد دیگر

Aydın Buluç is a Senior Scientist at the Lawrence Berkeley National Lab (LBNL) in the Applied Mathematics and Computational Research Division and an Adjunct Professor in the Electrical Engineering and Computer Sciences (EECS) department at UC Berkeley. At LBNL, he leads the Performance and Algorithms group, and at UC Berkeley, he is part of the SLICE lab. He also serves as the Director of Sparsitute, a DOE Mathematical Multifaceted Integrated Capability Center (MMICC) focused on sparse computations. Dr. Buluç's research focuses on high-performance graph analysis, parallel sparse matrix computations, and communication-avoiding algorithms with applications in machine learning and computational genomics. His work bridges theoretical computer science with practical applications in scientific computing, particularly in bioinformatics and large-scale data analysis. He has made significant contributions to the development of parallel algorithms for sparse linear algebra operations, which form the foundation for many graph analytics frameworks. His recent publications demonstrate a strong trend toward optimizing sparse computations for modern hardware architectures, particularly GPUs and distributed systems. The research spans theoretical algorithm design, practical implementation challenges, and applications in computational biology. A notable pattern is the increasing focus on communication-avoiding techniques for distributed graph neural network training and large-scale genomic analysis. Dr. Buluç has been actively involved in numerous professional activities, serving on program committees for major conferences including EuroSys (2026), ALENEX (2019, 2026), SPAA (2025), and IPDPS (2013-2019, 2021-2022, 2025). He has also served on the SIAM George Pólya Prize for Mathematical Exposition Selection Committee (2025) and as Founding Associate Editor for ACM Transactions on Parallel Computing (2013-2020). He leads the PASSION Lab research group, which focuses on parallel algorithms and systems for irregular numerical workloads. The lab develops several important open-source software packages including Combinatorial BLAS, HipMCL, PASTIS, CAGNET, and BELLA. These tools address challenges in large-scale graph analysis, protein sequence alignment, and distributed machine learning.

Simon Moxonمشاهده پروفایل

دانشیار

• Bioinformatics
• Gene Regulation
• Next-Generation Sequencing
• +۳ مورد دیگر

Simon Moxon is an Associate Professor in Bioinformatics at the University of East Anglia (UEA), part of the School of Biological Sciences. His research focuses on applying next-generation sequencing (NGS) technologies to study biological problems, particularly small RNA bioinformatics and mechanisms of gene regulation at transcriptional and post-transcriptional levels. He has developed tools like miRCat2 and the UEA sRNA Workbench for miRNA detection and analysis. Notable collaborations include projects funded by the British Heart Foundation, NIH, and the Natural Environment Research Council, exploring topics such as chromatin landscapes, microRNA biogenesis, and epigenetic reprogramming. His work spans plant genomics, developmental biology, and molecular mechanisms in diseases like cancer. Recent publications highlight advancements in understanding miRNA regulation in plants and animals, epigenetic marks during zygotic reprogramming, and antimicrobial resistance in Bacillus species. Moxon actively mentors PhD students and contributes to editorial roles in journals like Frontiers in Molecular Biosciences.

Daniel Brewerمشاهده پروفایل

استاد

• Cancer Bioinformatics
• Prostate Cancer
• Genomics
• +۵ مورد دیگر

Professor Daniel Brewer is a leading academic in Medical Bioinformatics and Genomics at the University of East Anglia, specifically within the Norwich Medical School . His roles include heading the Cancer Genetics Team, serving as Deputy Director of the Metabolic Health Research Centre, and leading bioinformatics initiatives in global prostate cancer consortia. Brewer holds a PhD in Computational Biology from University College London and has over a decade of experience in applying large-scale 'omics data to improve clinical outcomes for prostate cancer patients. His research focuses on genomic sequencing studies, cancer subtype classification, biomarker development (e.g., the Prostate Urine Risk score), and the role of bacteria in cancer. Notable contributions include leading the CRUK-ICGC Prostate UK group, expanding it into the Pan-Prostate Cancer Group (PPCG), and developing the SEPATH pipeline for pathogen detection in genomic data. He is also active in teaching, including Problem-Based Learning (PBL) tutoring and supervising 6 PhD students. Brewer has secured grants totaling millions from organizations like Prostate Cancer UK and the National Institute for Health. He chairs the bioinformatics committee for the Prostate UK group and contributes to global initiatives like Genomics England’s 100,000 Genomes Project. His work has yielded over 76 publications in journals like Nature and Science , and he received the 2022 European Urology Oncology SoMe Award. Education: MSci Physics (Imperial College London), MRes Biological Complexity (UCL), PhD Computational Biology (UCL) Key Projects: Leveraging PPCG data for prostate cancer prediction, PURSuiT biomarker validation, bacterial-in-cancer studies Grants: Prostate Cancer UK (£2.5M), Movember Foundation (£1.8M), Big C Appeal (£1.1M) Leadership: Norwich Cancer Research Network (NCRN) founder, UEA Biomedical Review Committee member Brewer’s lab focuses on translating genomic insights into clinical tools, with ongoing efforts to develop diagnostic tests and improve treatment strategies for aggressive prostate cancers.

• Computer Science
• Electrical Engineering
• Robotics
• +۷ مورد دیگر

Pengfei Li is a prolific researcher affiliated with multiple academic institutions, including Harbin Medical University, Yale University, Beihang University, Zhejiang University, and others. His work spans interdisciplinary domains such as machine learning, robotics, remote sensing, and biomedical engineering. Research interests focus on Machine learning and deep learning for industrial and medical applications Signal processing and sensor technologies Remote sensing and geospatial data analysis Robotic control systems and exoskeleton design Code search and software engineering optimization His recent publications highlight trends in FPGA-based real-time systems, multimodal machine learning, and AI-driven diagnostics. While awards and student advising details are absent in the provided data, his contributions to IEEE journals and conferences underscore his expertise in algorithm design and applied informatics.

Oğuz Gülserenمشاهده پروفایل

استاد

• Theoretical Solid State Physics
• Nanoscience
• Metal Nanowires
• +۷ مورد دیگر

Oğuz Gülseren is a Professor at the Department of Physics, Bilkent University. His research spans Theoretical Solid State Physics , Nanoscience , and Electronic Structure of Materials , focusing on computational studies of metal nanowires , carbon nanotubes , and first-principles calculations . He leads the Computational Nanoscience and Materials Research Group, offering PhD and postdoctoral positions. University: Bilkent University Department: Physics Contact: gulseren@fen.bilkent.edu.tr His research interests include plasmonics , dye-sensitized solar cells , and graphene , with significant work on vibrational properties , quantum structures , and nanoenergetic materials . Publications highlight ab initio and DFT methods applied to 2D heterostructures , self-assembly , and nano-biosensors . Recent articles emphasize data-driven inverse design , phonon resonance , and nanocarbon applications in energy and biotechnology. His group’s work integrates computational nanoscience with experimental validation , addressing challenges in thermal conductivity , optoelectronics , and chemical reactivity at the nanoscale.

Sankardas Royمشاهده پروفایل

دانشیار

• Cybersecurity
• Digital Forensics
• Android Security
• +۵ مورد دیگر

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).