جست‌وجوی استاد و پژوهشگر

• Supportive Cancer Care
• Microbiome Science
• Clinical Oncology
• +۴ مورد دیگر

Associate Professor Hannah Wardill is an NHMRC EL2 Investigator at the University of Adelaide, affiliated with the Faculty of Health and Medical Sciences and SAHMRI. She leads the Supportive Oncology Research Group, focusing on improving cancer patients' health through innovative supportive care solutions. Her research spans microbiome science, clinical oncology, and genetic medicine, with landmark trials like CANCAN, GENESCREEN, and MYWELL. Education: PhD in Biomedicine from the University of Adelaide (2016), followed by a CJ Martin Fellowship at the University of Groningen (Netherlands). Current roles include Vice Chair of MASCC's Mucositis Study Group and Chair of the Cancer Symptoms Trials Group's Gut Dysfunction Node. Research interests center on mitigating long-term effects of cancer treatment, including chemotherapy-induced side effects, microbiota dysbiosis, and mental health interventions. She has attracted over $15M in funding, including an NHMRC Investigator Grant until 2029. Awards include the University of Adelaide Alumni Award, Australian of the Year Finalist (SA Top 4), and South Australian Tall Poppy of the Year. She supervises 3 staff, 1 postdoc, and 6 HDR students, with a focus on nurturing early-career researchers. Community engagement includes founding pooisnottaboo.com and active roles in patient advocacy through MASCC's Patient Partnership Committee.

Hien Quoc Ngoمشاهده پروفایل

دانشیار

• Massive MIMO
• Cell-Free Massive MIMO
• Cooperative Communications
• +۴ مورد دیگر

Dr. Hien Quoc Ngo is a Reader at Queen's University Belfast and a UKRI Future Leaders Fellow. He specializes in wireless communications, particularly in massive MIMO, cell-free massive MIMO, and cooperative systems. His research focuses on improving spectral efficiency, security, and energy efficiency in next-generation networks. Education: B.S., Electrical Engineering, Ho Chi Minh City University of Technology (2007) M.S., Electronics and Radio Engineering, Kyung Hee University (2010) Ph.D., Communication Systems, Linköping University (2015) Research Interests: Dr. Ngo's work spans massive MIMO systems, cell-free architectures, physical layer security, and millimeter-wave technologies. He has pioneered studies on channel estimation, power allocation, and interference management in distributed networks. Awards & Recognition: IEEE ComSoc Stephen O. Rice Prize (2015) IEEE ComSoc Leonard G. Abraham Prize (2017) Best PhD Award from EURASIP (2018) UKRI Future Leaders Fellowship (2019) Multiple AMiner Most Influential Scholar Awards (2022-2024) Grants & Projects: Lead on the Future Communications Hub in All-Spectrum Connectivity (UKRI-funded) Principal Investigator for Cell-Free Massive MIMO for ISAC Labs & Teams: He leads the Wireless Communications Research Group at Queen's University, focusing on 5G/6G technologies and intelligent systems.

• Medical Biotechnology
• Genetic Engineering
• Antibody Engineering
• +۴ مورد دیگر

Gordana Wozniak-Knopp is a researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Institute of Molecular Biotechnology under the Department of Biotechnology and Food Science. Her work focuses on antibody engineering, molecular biotechnology, and protein stability optimization. Key research areas include Development of multispecific antibodies using controlled Fab-arm exchange and SEED technology Engineering antigen-binding sites in Fc regions Stabilization of antibody fragments via disulfide bonds and domain exchange Extracellular vesicle functionalization for targeted drug delivery Design of diagnostic antibody microarrays and SARS-CoV-2 antigen platforms Between 2020–2024, she led an FWF-funded project on therapeutic antibodies for birch pollinosis and a 2016–2023 CD Laboratory for Innovative Immunotherapeutics. Her recent publications (2022–2023) emphasize trispecific antibody design, SARS-CoV-2 diagnostics, and CD81-based delivery systems. Scientific contributions include peer-review activities for journals like Protein Science , Nature Communications , and Scientific Reports , along with organizing events such as the Lange Nacht Der Forschung 2024 . She actively participates in international conferences and project evaluations for organizations like Poland’s National Science Centre.

Shuxia Taoمشاهده پروفایل

دانشیار

• Computational Materials Physics
• Machine Learning for Materials Design
• Semiconducting Materials
• +۵ مورد دیگر

Shuxia Tao is an Associate Professor at the Department of Applied Physics, Eindhoven University of Technology (TU/e), leading the Computational Materials Physics Group. Her research bridges quantum mechanics and macroscopic material performance through first-principles simulations and machine learning. Education: MSc in Physical Chemistry (Nankai University, China) and PhD (TU/e, 2011) in computational materials design. Roles: Affiliated with Materials Simulation & Modelling (MSM) division, Computational Center for Energy Research (CCER), and Eindhoven Institute for Renewable Energy Systems (EIRES). Her work focuses on chiral-induced spin selectivity (CISS), spin electrochemistry (SEC), and quantum phenomena in halide, oxide, and nitride materials. Recent publications analyze temperature-dependent chirality in perovskites, circular dichroism modeling, and band gap engineering for optoelectronic applications. Scientific awards include: 2024 NWO Open Competition M Grant 2024 ERC Consolidator Grant 2023 Aspasia Award 2022 NWO VIDI 2019 NWO START-UP 2016 CSER Tenure Track Fellowship She serves as Associate Editor for AI for Science (IOP Publishing) and on editorial boards of Applied Physics Letters . Her group collaborates with national and international research communities in Nano, Quantum, and Materials Physics.

• Cancer Genomics
• Genome Analysis
• Metagenomics
• +۳ مورد دیگر

Avraam Tapinos is a Researcher at the University of Manchester's Division of Cancer Sciences (L5), part of the Manchester Cancer Research Centre. His work contributes to UN Sustainable Development Goals related to health and innovation. Research focuses include cancer genomics, metagenomics, and bioinformatics methodologies. Affiliations: Manchester Cancer Research Centre, Digital Futures Research Beacon Key expertise: Cancer genomics, germline analysis, metagenomic binning Recent research explores genomic landscapes of testicular germ cell tumors, breast cancer evolution in diverse populations, and respiratory virome dynamics in asthma. His computational methods advance alignment-free genomic analysis. Publications span high-impact journals like Nature Communications and American Journal of Human Genetics, with interdisciplinary collaborations in oncology, microbiology, and bioinformatics.

Jure Leskovecمشاهده پروفایل

استاد

• Machine Learning
• Social Networks
• Data Mining
• +۴ مورد دیگر

Jure Leskovec is a Professor of Computer Science at Stanford University, affiliated with the Stanford AI Lab, Machine Learning Group, and the Center for Research on Foundation Models. He holds academic appointments in the Department of Computer Science and is a member of Bio-X, the Institute for Human-Centered Artificial Intelligence (HAI), and the Wu Tsai Neurosciences Institute. Leskovec earned his BSc from the University of Ljubljana (2004), PhD from Carnegie Mellon University (2008), and postdoctoral training at Cornell University. His research focuses on social networks, data mining, machine learning, and computational biomedicine, with contributions to graph neural networks, drug discovery, and AI applications in healthcare. His work has been applied to combat the COVID-19 pandemic and integrated into products at major tech companies. Leskovec’s publications reflect his expertise in network analysis, medical AI, and biological systems. His recent work includes foundational contributions to graph neural networks (e.g., PyG) and medical AI frameworks. His research has garnered numerous awards, including the Microsoft Research Faculty Fellowship and ICDM Research Contributions Award. Leskovec advises numerous doctoral and postdoctoral researchers, contributing to over 200 publications. His interdisciplinary collaborations span computational biology, healthcare analytics, and social systems, with a focus on leveraging AI to address real-world challenges.

• Antimicrobial Resistance
• Bacterial Physiology
• Gram-negative Bacteria
• +۶ مورد دیگر

Jessica Blair is a Professor of Antimicrobial Resistance at the Institute of Microbiology and Infection , University of Birmingham. She serves as Director of the Doctoral School within the Vice-Chancellor's Office and accepts PhD students. Her research focuses on antibiotic resistance mechanisms in bacteria, particularly the role of efflux pumps in expelling antibiotics. Active in Antimicrobial Resistance and Efflux Pump studies Principal Investigator for projects funded by BBSRC and European Commission Key collaborator in Gram-negative Bacteria and Salmonella research Her 2024 publications address antibiotic delivery systems using silica nanoparticles, efflux pump impacts on bacterial physiology, and non-antibiotic drug interactions with Escherichia coli . Earlier work (2023) analyzed antimicrobial peptide mechanisms against bacterial membranes. She has participated in public engagement events like Soapbox Science (2017) and was featured in Michael Moseley's documentary vs the Superbugs (2016). Current projects include improving industrial processes via efflux-membrane potential relationships and high-throughput microbial community assembly pipelines.

Astrid Hauge Evansمشاهده پروفایل

مدرس ارشد

• Diabetes
• Pancreatic Islet Biology
• Endocrinology
• +۳ مورد دیگر

Dr Astrid Hauge Evans is a Senior Lecturer at the School of Life and Health Sciences, University of Roehampton. Her research focuses on diabetes, particularly the regulation of insulin production from pancreatic beta cells and intercellular communication within pancreatic islets. She is actively involved in PhD student supervision and holds external positions as a Visiting Researcher at King's College London. BSc in Biology from University of Copenhagen, Denmark MSc in Biomedical Sciences from King's College London PhD in Physiology from King's College London Her research explores: Mechanisms of beta cell dysfunction in diabetes Intra-islet communication dynamics Neuroendocrine regulation of insulin secretion Gut microbiota interactions in metabolic disease Wholegrain polyphenols' impact on islet function Sex-specific roles of peptides like LEAP2 Recent article trends show expertise in Diabetes type-specific therapies Cross-disciplinary studies combining nutrition and endocrinology Peptide hormone interactions in islet regulation Microbiome-diet-islet function relationships 3D cell culture models for diabetes research Neuroendocrine modulation of metabolic processes Scientific recognition includes Diabetes UK RD Lawrence Fellowship (2010) University of Roehampton Academic Staff Award (2025) Supervision and funding highlights Primary supervisor for multiple PhD projects on diabetes mechanisms Lead PI on grants from Diabetes Research and Wellness Foundation, Diabetes UK, Society for Endocrinology Collaborations with institutions across UK, Belgium, and Denmark

Benjamin Evansمشاهده پروفایل

استادیار

• Computational Neuroscience
• Spiking Neural Networks
• Convolutional Neural Networks
• +۷ مورد دیگر

Dr. Benjamin Evans is an Assistant Professor in Computer Science & AI (Informatics) at the University of Sussex , affiliated with the School of Engineering and Informatics . His research integrates computational neuroscience and artificial intelligence, focusing on biologically inspired neural networks. Current Position: Assistant Professor, Department of Informatics, University of Sussex Previous Roles: Research Associate at University of Bristol, University of Exeter, Imperial College London, and University of Oxford Education: DPhil in Computational Neuroscience (University of Oxford), MSc in Intelligent Systems (UCL), BA in Experimental Psychology (Oxford) His research centers on how neural systems self-organize to produce intelligent behavior, studied through both biological and computational modeling. He investigates spiking neural networks , convolutional neural networks , and the role of biological constraints in enhancing AI robustness and human-like perception. He is particularly interested in how spike-based information processing contributes to adaptive cognition in noisy environments. His recent publications reveal a strong trend in evaluating deep neural networks as models of human vision, questioning their biological plausibility while proposing bio-inspired improvements. He also works on optogenetics simulation (e.g., PyRhO platform), developmental biology modeling , and reproducible data science through containerization tools like Docker. His scientific contributions have been recognized through publications in high-impact journals such as Nature Communications , PLoS Computational Biology , and Behavioral and Brain Sciences . EPSRC Grant: "Exploring the multiple loci of learning and computation in simple artificial neural networks" (2023–2024) EPSRC Grant: "Using ant biology and natural environments to enhance models of vision and robot navigation" (2022–2026) Dr. Evans actively contributes to open science through GitHub repositories (e.g., PyRhO, DPE, BioNet) and promotes reproducible research. He has no listed advisees in the provided data, but leads funded research projects involving junior researchers. He is a core member of the Informatics research group at Sussex, contributing to both AI and neuroscience domains.

Bettina Siebersمشاهده پروفایل

استاد

• Archaea
• Central Carbohydrate Metabolism
• Extremozymes
• +۱۳ مورد دیگر

Prof. Dr. Bettina Siebers is a full Professor at the University of Duisburg-Essen, Faculty of Chemistry, where she leads the research group Molecular Enzyme Technology and Biochemistry (MEB). Her work is embedded in the Zentrum für Medizinische Biotechnologie (ZMB) and focuses on hyperthermophilic archaea, central carbohydrate metabolism, and biotechnological applications of extremozymes. She is actively involved in funded research projects, including a major €1.4 million grant from the VolkswagenStiftung for sustainable bio-production. Research Interests: Her research spans archaeal biochemistry, systems biology, metabolic engineering, and enzyme technology. She investigates the unique metabolic pathways in archaea, particularly under extreme conditions, combining classical biochemistry with genomics, transcriptomics, and computational modelling. Her group explores transcription regulation, stress responses, and protein phosphorylation in archaea as simplified models for eukaryotic processes. Publication Trends: Her recent publications emphasize enzyme cascade optimization, extremozyme discovery, metabolic pathway modelling (e.g., Weimberg pathway), and archaeal gene regulation. The interdisciplinary work bridges microbiology, biotechnology, and systems biology, with strong applications in sustainable bioproduction and industrial biocatalysis. Scientific Recognition: Lead Principal Investigator, VolkswagenStiftung 'Biofabrik' Project (€1.4 million) Active publications in high-impact journals including Nature , Nature Communications , FEMS Microbiology Reviews , and Nucleic Acids Research Member of ZMB and contributor to DFG, EU, and NRW-funded research programs Advising and Grants: While specific students are not listed, her group includes postdocs and researchers such as Dr. Christopher Bräsen. She leads major funded projects, including the VolkswagenStiftung initiative to replace microplastics with microbial lipids. Her work is supported by national and international collaborations, particularly with TU Wien. She integrates fundamental research with translational biotechnological applications. Labs and Teams: The MEB group at the University of Duisburg-Essen comprises a dedicated team including a laboratory manager, secretariat, and researchers. The group is part of the ZMB and collaborates within the Faculty of Chemistry and beyond, focusing on extremophile biochemistry and sustainable biotechnology.

Elin Nymanمشاهده پروفایل

دانشیار

• Systems Biology
• Biomedical Engineering
• Drug Development
• +۳ مورد دیگر

Elin Nyman is the Head of the Department of Biomedical Engineering (IMT) and an Associate Professor at Linköping University. She leads the department, fostering an environment of trust and collaboration. Her research focuses on systems biology and e-health, integrating mathematical models with experimental data to advance drug development and clinical tools. She supervises students in both the Faculty of Science and Engineering and the Faculty of Medicine and Health Sciences, examining courses like TMBI28 and 8BKG45. Her research interests include systems biology, particularly in drug development and AI applications in healthcare. Key projects involve robust metabolic measurements, AI-driven diagnostic tools (M4-health), and knowledge-driven drug development with AstraZeneca. Recent publications highlight liver steatosis dynamics, IL-10 feedback mechanisms, and insulin resistance modeling. Her work bridges interdisciplinary collaboration, such as a course combining medical and engineering students to develop digital health solutions. She contributed to a SEK 13 million grant for AI-based crime-solving using detailed analyses and AI. Current affiliations include the Division of Biomedical Engineering (MT) and IMT department.

Johannes Soedingمشاهده پروفایل

پژوهشگر

• Computational Biology
• Bioinformatics
• Protein Structure Prediction
• +۹ مورد دیگر

Johannes Soeding is a Research Group Leader in the Computational Biology department at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany. His work bridges physics, bioinformatics, and molecular biology, focusing on computational methods for biological data analysis. His research interests include computational biology, protein structure and function prediction, metagenomics, transcriptional regulation, and statistical genomics. He develops widely used software tools such as HH-suite, HHpred, MMseqs2, and Foldseek for protein sequence and structure analysis. The recent publications demonstrate a strong focus on high-throughput biological data, particularly in protein structure search (e.g., Foldseek), metagenomic gene discovery (e.g., MetaEuk), and regulatory genomics. His work combines algorithm development with deep biological insights, often published in top-tier journals like Nature Biotechnology , Science , and Nature Methods . He has been involved in significant methodological advances in sequence clustering, contact prediction, and eQTL analysis, showing a consistent trend toward scalable, data-driven approaches in genomics and proteomics. Soeding has contributed to major projects in gene regulatory networks and RNA biology, often in collaboration with experimental groups. His leadership in developing open, efficient bioinformatics tools has had a broad impact on the scientific community. He is affiliated with several graduate programs including IMPRS Physics of Biological and Complex Systems, Biomolecules: Structure - Function - Dynamics, and Genome Science, indicating active participation in training the next generation of scientists.

Dominik Munzمشاهده پروفایل

استاد

• Coordination Chemistry
• Inorganic Chemistry
• Organic Chemistry
• +۱۴ مورد دیگر

Prof. Dr. Dominik Munz is a Professor of Coordination Chemistry at the Faculty of Natural Sciences and Technology, Saarland University , Germany. He leads an interdisciplinary research group at the interface of inorganic, organic, and physical chemistry, focusing on creative solutions for catalysis, energy conversion, and functional materials. Education: Ph.D. from TU Dresden (implied by 'alma mater' reference). Research Interests: The Munz group is driven by the pursuit of novel chemical bonding and unusual electronic structures. Their primary research areas are: Bond Activation for Catalysis: Designing new transition- and main-group metal complexes with innovative bonding motifs to activate strong bonds and facilitate energy conversion. Optoelectronic Materials: Investigating radicaloid systems for applications in solar cells and microelectronics. Reactive Intermediates as Molecular Switches: Exploring transient, highly reactive species for use in soft and intelligent materials. Their synthetic work is guided by computational predictions and employs advanced spectroscopic techniques under inert conditions. Publication Trends: The group's recent publications (2023-2025) demonstrate a strong focus on pushing the boundaries of main-group and transition-metal chemistry. Key themes include the synthesis of highly unusual species like terminal gold(I) imides and lead(II)-substituted triplet carbenes, the discovery of powerful new reagents from simple oxidations (e.g., PPh3), and the exploration of high- and low-valent states of metals (e.g., FeVII, Al(I)). Their work frequently appears in top-tier journals like JACS , Nature , and Angewandte Chemie , highlighting its significance and impact. Scientific Awards: European Research Council (ERC) Starting Grant Advising and Grants: Prof. Munz actively mentors a large group of students and postdoctoral researchers, as evidenced by numerous publications led by his advisees. His research is supported by significant competitive grants, including the ERC Starting Grant and a DFG-funded Research Training Group (RTG Ec=m²), which is hiring 10 new PhD scholars. This indicates a robust research program focused on 'Engineering Covalent Bonds in Molecules and Materials.' Laboratories and Research Groups: The Munz group operates state-of-the-art laboratories at Saarland University, equipped with brand-new gloveboxes for air-sensitive chemistry. The group is a key part of the 'PharmaScienceHub,' a collaborative initiative between Saarland University and the Helmholtz Institute for Pharmaceutical Research. They are also involved in the Skilizium, a research meeting with groups from Saarland, Marburg, and Münster. The group fosters a dynamic environment, engaging in outreach activities like hosting high school students and organizing scientific meetings such as the Fulbright-Cottrell Meeting on Science Communication.

Amira Mahdiمشاهده پروفایل

استادیار

• Breast Cancer
• Tumor Microenvironment
• Therapeutic Resistance
• +۴ مورد دیگر

Amira Mahdi serves as an Assistant Professor in Biomedical Sciences at the University of Limerick's School of Medicine, where she joined in September 2023. She is an active member of the Limerick Digital Cancer Research Centre and currently accepts PhD students. Her work bridges molecular oncology and translational cancer research with focus on therapeutic resistance mechanisms. Her academic foundation includes a BSc (Hons) in Biomedical Science from the National University of Ireland, Galway (2016) and a PhD in Microenvironmental Regulation of Breast Cancer Progression from the University of Limerick (awarded August 2020). Her doctoral work examined newly synthesised proteins in breast cancer progression. Dr. Mahdi's research centers on two critical frontiers: (1) how tumor microenvironments drive therapeutic resistance in breast cancer, and (2) interactions between cancer treatments and the blood-brain barrier for brain metastasis management. Key investigations include Annexin A2 regulation, HER2+/ER+ breast cancer subtypes, and novel combination therapies targeting resistance pathways. Her fingerprint reveals strong expertise in Breast Cancer (66%), Brain Metastasis (50%), and Cancer Cell Biology (91%). Analysis of her 16 research outputs (2018-2025) shows escalating focus on targeted breast cancer therapies, with 75% of recent publications (2023-2025) examining drug combinations for HER2+ disease. Her work consistently explores resistance mechanisms through molecular profiling and preclinical modeling, increasingly incorporating brain metastasis contexts. Her major scientific recognitions include: Irish Research Council Post-graduate Scholarship (PhD funding) Science Foundation Ireland Strategic Partnerships Award (postdoctoral research with Puma Biotechnology) Dr. Mahdi secured significant grant support through the SFI Strategic Partnerships Award during her DCU postdoc, where she developed novel combination strategies for HER2+ breast cancer. She maintains active mentorship through PhD student supervision at UL and participates in the Irish Association for Cancer Research council. Her teaching philosophy emphasizes research-led, student-centered environments fostering critical thinking and scientific communication. She operates within the Limerick Digital Cancer Research Centre ecosystem, collaborating with NICB (DCU) and international partners as evidenced by her publication networks. Current work focuses on translating microenvironmental findings into clinical strategies for treatment-resistant breast cancer.

• Biophotonics
• Nanotechnology
• Fluorescence Applications
• +۷ مورد دیگر

Professor Ewa Goldys is a distinguished academic at the University of New South Wales (UNSW), serving as a Professor in the School of Engineering with a focus on Biomedical Engineering. She holds the prestigious position of Deputy Director at the ARC Centre of Excellence for Nanoscale Biophotonics (CNBP), where she leads partnerships, knowledge transfer, and research commercialization efforts. Her work spans interdisciplinary research connecting engineering, medicine, and biology, with significant contributions to biophotonics and nanotechnology applications in healthcare. Professor Goldys' research interests center around advanced imaging techniques, particularly autofluorescence characterization, which provides a non-invasive metabolic 'fingerprint' for distinguishing healthy from diseased cells. Her work has significant applications in cancer, diabetes, and neurodegenerative diseases. She has pioneered research in fluorescent and luminescent nanomaterials for biological applications, developing innovative approaches for high-contrast, background-free imaging using time-gating techniques. Her research portfolio also includes significant contributions to CRISPR-based biosensing, stem cell characterization, and non-invasive diagnostic approaches using multispectral imaging. Her publication record demonstrates a clear trend toward increasingly sophisticated applications of autofluorescence imaging combined with machine learning and molecular techniques. Recent work integrates hyperspectral imaging with transcriptomics, develops CRISPR-based point-of-care diagnostics, and applies autofluorescence techniques to diverse medical challenges from kidney disease diagnosis to immune cell characterization. The interdisciplinary nature of her work spans oncology, immunology, nephrology, and regenerative medicine. Professor Goldys has received notable recognition for her work, including: Eureka award in 2016 for Innovative Use of Technology Her research leadership has secured substantial funding, including directing the $23 million ARC investment in the CNBP (matched by $17 million from partners), establishing the $2 million ARC/NHMRC Network 'Fluorescence Applications in Biotechnology and Life Sciences,' and leading research that leveraged an additional $155 million in external funding. She has founded the Optical Characterisation Facility at Macquarie University and has been instrumental in establishing international research networks in biophotonics. Professor Goldys has made significant contributions to the international biophotonics community through conference organization, having chaired 11 conferences including SPIE 'Biophotonics Australasia' and serving as Track Chair for Nanobiophotonics at BIOS, the world's largest biomedical optics meeting. Her work has established foundational methodologies in autofluorescence characterization that continue to drive innovation in label-free medical diagnostics.