جستجوی استاد راهنمای دانشگاهی

Garofalakis Minosمشاهده پروفایل

استاد

• Database Systems
• Data Streams
• Big Data Analytics
• +۷ مورد دیگر

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

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

Prof. Manuela Schmidt is a faculty member at the University of Vienna, affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences. Her research focuses on modern systems biology pain research and biomedical applications, primarily conducted in her laboratory. She supervises Master's theses with limited availability, requiring applications between January 1–31, 2025, and coordinates both experimental and literature-based thesis opportunities. Her work spans bioinformatics, computational biology, and phylogenetics, with significant contributions to maximum likelihood phylogenetic methods and software development (e.g., IQ-TREE). Research trends include evolutionary biology, molecular biology, and applications of machine learning in phylogenetic analysis. Additional interests involve environmental microbiology and developmental genetics. For contact, email manuela_schmidt@univie.ac.at. Her lab is located at UZA II, Josef-Holaubek-Platz 2, A-1090 Vienna, Austria (phone: +43-1-4277-55301).

Bernd Wollscheidمشاهده پروفایل

مدرس

• Molecular Health
• Proteomics
• Cell Signaling
• +۳ مورد دیگر

Prof. Dr. Bernd Wollscheid is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. He leads the Wollscheid Lab and the Proteomics Plattform D-HEST , focusing on decoding the extracellular interactome and the cell surfaceome's nanoscale organization. His work bridges biology, chemistry, medicine, and bioinformatics, developing cutting-edge technologies like LUX-MS and TRICEPS-based LRC to study cellular communication and signaling pathways. Research interests include understanding how the surfaceome influences cellular functions, particularly in disease contexts such as cancer and metabolic disorders. Key projects involve creating resources like the Cell Surface Protein Atlas and PROTTER , tools for visualizing proteoforms and analyzing multi-omics datasets. His lab also explores precision medicine applications, including biomarker discovery and tumor profiling for clinical decision support. Publications highlight advancements in multi-omics integration, drug repurposing, and functional proteomics. The lab collaborates on initiatives like the Swiss Personalized Health Network (SPHN) and the Personalized Health and related Technologies (PHRT) strategic focus area. Funding comes from public grants and strategic partnerships. Recruitment for motivated researchers is ongoing, emphasizing contributions to molecular health and surfaceome research.

Beate Escherمشاهده پروفایل

استاد

• Environmental Toxicology
• Ecotoxicology
• Water Quality Assessment
• +۹ مورد دیگر

Prof. Beate Escher is a leading academic in environmental and toxicological sciences, holding roles as Head of the Department of Cell Toxicology at the Helmholtz Centre for Environmental Research (Leipzig, Germany) and Professor at Eberhard Karls University Tübingen. She also serves as an Honorary Professor at the University of Queensland (Australia), Adjunct Professor at Griffith University, and Lecturer at ETH Zurich. Her research focuses on developing assessment tools for micropollutant risks, including mode-of-action-based effect analysis, hazard screening of organic pollutants, and high-throughput in vitro bioassays (e.g., CITEPro robotic platform). She has contributed to understanding chemical mixtures' impacts on water quality, wildlife (e.g., dugongs), and human health. Key awards include the 2013 Australian Water Association Award for bioassay innovations and an ARC Future Fellowship (2011–2014). Her work bridges environmental chemistry and toxicology, emphasizing practical applications like passive sampling, effect-based water quality monitoring, and advanced oxidation processes. Collaborations include QAEHS projects on wastewater treatment efficacy and chemical body burdens in marine wildlife. Prof. Escher advocates for animal-free testing methods and contributes to EU regulatory frameworks for chemical safety.

Konstantinos Alexopoulosمشاهده پروفایل

دانشگاهی

• Catalysis
• Materials Science
• Reaction Engineering
• +۷ مورد دیگر

Konstantinos Alexopoulos is an Assistant Research Professor in the Department of Chemical Engineering at Pennsylvania State University, with a dual affiliation to the ALICE experiment at CERN. He leads research in heterogeneous catalysis, focusing on single-atom catalysts, reaction mechanisms, and materials design. His work bridges computational modeling (microkinetic simulations, DFT calculations) with experimental catalysis for energy conversion and chemical synthesis. Key affiliations include the Materials Research Institute and the Institute for CyberScience at Penn State. Notable contributions include developing programmable thermochemical synthesis protocols and advancing understanding of Cu³⁺ oxidation states in alkaline systems. His 2022 Nature paper introduced programmable heating/quenching strategies for efficient synthesis, while 2024 publications address Ni-CeO₂ catalyst stability and zeolite-catalyzed beta-scission reactions. He collaborates extensively with the ALICE collaboration on detector systems, contributing to the O₂ data acquisition framework for LHC Run 3. Research emphases span: (1) Single-atom catalyst stability mechanisms (2) Zeolite-catalyzed hydrocarbon transformations (3) Methane-to-ethylene conversion (4) ALICE detector control systems. Current projects involve DOE-funded work on plastic waste conversion technologies and NSF-supported catalysis studies. His lab employs Density Functional Theory (DFT), microkinetic modeling, and in-situ spectroscopy to study reaction networks. Recent work highlights include identifying hydride-mediated C-H bond activation on TiO₂ and optimizing ALD-coated catalysts for methane reforming.

Yuchen Qiuمشاهده پروفایل

دانشیار

• Quantitative Image Analysis
• Medical Image Analysis
• Artificial Intelligence in Medicine
• +۶ مورد دیگر

Dr. Yuchen Qiu is an Associate Professor at the Gallogly College of Engineering, University of Oklahoma, specializing in quantitative medical imaging and artificial intelligence applications in cancer diagnosis. His research bridges electrical engineering and biomedical analysis, focusing on early detection of breast and ovarian cancers. Education: B.E. and M.E. in Electrical Engineering and Biomedical Engineering, Xi'an Jiaotong University Ph.D. in Electrical and Computer Engineering, University of Oklahoma Dr. Qiu’s work emphasizes medical image analysis , leveraging radiomics and deep learning for tumor response prediction and biomarker development. Recent publications highlight applications of Fourier ptychography microscopy and transformer models in cancer diagnostics. His research trends include multimodal data fusion (CT/pathology), comparative analysis of 2D/3D imaging features, and optimization of computer-aided diagnosis schemes. Professional Affiliations: International Society for Optics and Photonics (SPIE) Institute of Electrical and Electronics Engineers (IEEE)

• High-Energy Physics
• Particle Physics
• Proton-Proton Collisions
• +۵ مورد دیگر

Muammer Altan Çakır is a Professor in the Department of Physics Engineering at Istanbul Technical University, actively engaged in high-energy physics research with significant contributions to the CMS Collaboration at CERN. His work focuses on proton-proton collisions, Higgs boson physics, and top quark studies using Large Hadron Collider data. His research interests span experimental particle physics with emphasis on proton-proton collisions , Higgs boson characterization , lepton physics , and transverse momentum analysis . Recent work explores charm baryon production, Drell-Yan processes, and muon identification techniques using advanced multivariate methods in the CMS detector. Analysis of his 15 most recent publications reveals a strong focus on precision measurements in high-energy collisions, particularly in Higgs physics (3 publications), top quark physics (2), and detector optimization (2). His work consistently addresses fundamental questions in the Standard Model through advanced statistical techniques and large-scale data analysis. Doktora sonrası araştırma bursu (2010) Landes Baden Württenberg Doktorarbeit Stipendium (2006) LPC Fall Guest Visitor Faculty (2017) Multiple Performans ödülü awards (2012, 2013, 2015) Professor Çakır has supervised 15 students and leads multiple research projects including GPU-based distributed computing platforms for big data processing, real-time predictive maintenance systems, and deep learning applications for top quark spin correlation studies. His current projects integrate generative AI with domain-specific physics research while developing scalable open-source big data architectures for industrial applications. His laboratory work centers on CMS detector data analysis, with recent focus on online data visualization tools and multivariate techniques for particle identification. Current projects explore GPU-accelerated computing frameworks and generative AI applications for physics-informed design systems.

Tingting Xiangمشاهده پروفایل

استاد

• Host-Microbe Interactions
• Coral-Algal Symbiosis
• Dinoflagellate Biology
• +۶ مورد دیگر

Prof. Tingting Xiang is a Bioengineering Professor at the University of California, Riverside (UCR), leading the Xiang Lab. Her research focuses on host-microbe interactions, particularly coral-algal symbiosis and dinoflagellate biology. The lab employs systems biology approaches, including metabolomics, transcriptomics, and genetic methods, to study symbiosis and toxin biosynthesis in marine organisms. Her work addresses fundamental questions in symbiotic relationships, aiming to advance biotechnological applications and ecological conservation. The lab is part of UCR's Department of Bioengineering and actively recruits graduate students, undergraduates, and postdoctoral researchers to join projects focused on cnidarian-dinoflagellate symbiosis and environmental adaptation. Key research themes include molecular mechanisms of symbiosis, dinoflagellate metabolism, and coral resilience under climate change. Prof. Xiang collaborates on initiatives like the Plant Cell Atlas to integrate cellular and genomic data for systems-level insights.

• Biochemistry and cell biology
• Clinical sciences
• Genetics
• +۳ مورد دیگر

Ismail Moghul is a Research Fellow at University College London (UCL), affiliated with the Institute of Ophthalmology and the Research Department of Cancer Bio. He holds a PhD in Data Science (UCL, 2016–2021), an MSc in Bioinformatics (Queen Mary University of London, 2015–2016), and a BSc in Biomedical Sciences (Queen Mary University of London, 2011–2015). His research focuses on biochemistry, clinical sciences, genetics, ophthalmology, immunology, and computational biology, with a particular emphasis on AI-driven diagnostics, genetic disease mechanisms, and epigenetic analysis. He collaborates internationally on projects such as the Eye2Gene initiative, leveraging deep learning for inherited retinal disease diagnosis. His work spans AI applications in ophthalmic imaging, including fundus autofluorescence analysis and retinal biomarker quantification. He has contributed to tools like Retinograd-AI and aIRDetect, which automate image grading for inherited retinal dystrophies. His research also explores genetic determinants of conditions like Fuchs endothelial corneal dystrophy and age-related macular degeneration, integrating multi-omics data and clinical cohorts. Moghul’s publications highlight advancements in epigenetic profiling, long-read sequencing pipelines, and the development of open-source bioinformatics tools such as GIMMEcpg and ReLayer. His interdisciplinary approach bridges computational methods with clinical challenges, addressing unmet needs in precision medicine and patient-centric care. He advocates for patient co-design in healthcare tools, as seen in his commentary on improving hospital letter comprehension for ophthalmic patients. His contributions span over 30 peer-reviewed articles since 2016, reflecting his expertise in AI, genomics, and translational ophthalmology.

• Marine Robotics
• Autonomous Systems
• AI for Environmental Monitoring
• +۳ مورد دیگر

Blair Thornton is a Professor of Marine Autonomy at the University of Southampton's Faculty of Engineering and Physical Sciences. He leads research in autonomous marine robotics, sensing, and AI for marine science, and co-directs the FEPS In situ and Remote Intelligent Sensing (IRIS) Centre of Excellence. His work focuses on developing low-cost robotic platforms, 3D seafloor mapping systems, and AI-driven data interpretation methods. Education: PhD in underwater robotics (University of Southampton, 2006), postdoctoral research at University of Tokyo (2006-2016), and over 55 ocean expeditions (30 as PI). Teaching includes Maritime Robotics and Intelligent Mobile Robotics modules with Python-based practicals. Key Projects: BioCam (NERC), TechOceanS (EU), DriftCam (EPSRC), and Smarty200 (EPSRC). Collaborations include Sonardyne International, National Oceanography Centre, and JAMSTEC. Awards include the Okamura Kenji Prize (2014), Shell Ocean Discovery Xprize (2019), and IEEE Mid-Career Rising Star Award (2022). Active in journal editing (IEEE Oceanic Engineering, Robotics and Automation Letters) and external speaking roles.

• Cancer Research
• Bioinformatics
• Proteomics
• +۳ مورد دیگر

Dr. Rebecca Poulos is an NHMRC Early Career Fellow and Conjoint Lecturer at the Children’s Medical Research Institute, University of Sydney. Her research focuses on cancer genomics, proteomics, and data science, particularly integrating multiomic data to uncover cancer biomarkers and drug response mechanisms. She holds a BBus, BSc (Hons) with a University Medal, and a PhD from UNSW Sydney. Key research interests include cancer driver mutations, proteogenomics, and machine learning for multi-omics integration. Notable achievements include an NHMRC Early Career Fellowship and the Cancer Institute NSW Rising Star PhD Student Award. Her work spans pediatric cancer proteomics, drug response prediction, and reproducible large-scale proteomics. Recent studies highlight her contributions to cancer pathway modeling (DeePathNet), pediatric cancer molecular signatures, and proteomic stratification of prostate cancer. She leads projects funded by NHMRC and Sydney Cancer Partners, advancing precision medicine through proteomics. Her lab is embedded in the Cancer Data Science Group (ProCan), collaborating on pan-cancer proteomic maps and clinical applications.

Siddharth Deyمشاهده پروفایل

دانشیار

• Single-cell sequencing technologies
• Epigenetic regulation of gene expression
• Cell fate decisions
• +۵ مورد دیگر

Siddharth Dey is an Associate Professor in both the Department of Bioengineering and the Department of Chemical Engineering at the University of California, Santa Barbara. His research focuses on developing novel single-cell sequencing technologies to study epigenetic regulation of gene expression and cell fate decisions. The Dey Lab investigates mechanisms underlying DNA methylation dynamics, cancer cell invasion, and HIV latency using advanced multiomics approaches and 3D organoid models. He leads the Dey Lab , which integrates synthetic biology, optogenetics, and computational modeling to understand cellular heterogeneity and disease processes. Key research areas include: (1) Single-cell multiomics integration, (2) Epigenetic regulation during human development, (3) Mechanotransduction in cancer progression, and (4) Engineering tools for bacterial transcriptomics. Recent work demonstrates breakthroughs in simultaneous profiling of 5mC/5hmC modifications with transcriptomes, enabling unprecedented insights into epigenetic maintenance fidelity and cellular decision-making. His research is supported by grants including the NSF CAREER award (2024) for spatial epigenetic studies in human development. The lab actively collaborates on projects involving photopatterning technologies, stress response signaling, and HIV latency therapies. Experimental approaches combine cutting-edge sequencing methods with microfluidics-based platforms to study cellular responses in physiologically relevant 3D environments. Publications highlight contributions to understanding: (1) DNA methylation erasure in germ cells, (2) YAP-driven cardiac hypertrophy mechanisms, (3) macrophage priming via Fc receptors, and (4) bacterial mRNA sequencing innovations. These studies bridge engineering principles with fundamental biological mechanisms to address critical questions in development, cancer biology, and infectious diseases.

David Anthony Jacquesمشاهده پروفایل

دانشیار

• Structural Biology
• Virology
• Host-Pathogen Interactions
• +۳ مورد دیگر

Associate Professor David Anthony Jacques leads the Structural Virology Group at the EMBL Australia Node for Single Molecule Science, UNSW Sydney. He holds a PhD from the University of Sydney and completed postdoctoral research at the MRC Laboratory of Molecular Biology, Cambridge. His work focuses on structural biology of HIV and other viruses, employing techniques like X-ray crystallography, cryo-EM, and single-molecule fluorescence. Key research areas include HIV capsid structure-function relationships, host-pathogen interactions, and viral immune evasion mechanisms. Education: PhD in Biochemistry, University of Sydney (supervised by Professors Jill Trewhella and Mitchell Guss) BSc (Advanced) (Hons) in Biochemistry and Chemistry Research Interests: Structural basis of viral infection, HIV capsid dynamics, nuclear transport mechanisms, and development of antiviral strategies. His studies reveal how HIV exploits host machinery for replication and how viral proteins interact with cellular cofactors like nucleoporins and innate immune sensors. Grants & Awards: NHMRC Early Career Fellowship (2012-2017) Wellcome Trust Collaborator Award (2019-2024) ARC Discovery Project (DP180101384) Advising & Labs: Supervises Honours, Masters, and PhD students in virology and structural biology. Leads the Structural Virology Group with expertise in advanced microscopy and biophysical techniques. Collaborates on the X-ray Facility for Protein Crystallography funded under ARC LE190100165.

Ruth Godfreyمشاهده پروفایل

دانشیار

• Analytical Technology Development
• Applied Chromatography
• Mass Spectrometry
• +۳ مورد دیگر

Dr. Ruth Godfrey is an Associate Professor in Biomedical Sciences at Swansea University Medical School, Faculty of Medicine, Health and Life Science. With over a decade of academic experience, she has progressed from Lecturer (2011-2017) to Senior Lecturer (2017-2020) and currently serves as Associate Professor (2020-present). Her work bridges academic research and practical applications, supporting R&D for multinational companies, government agencies, and SMEs through her expertise in analytical technologies. Dr. Godfrey's research focuses on analytical technologies and method development for medical and chemical analysis, with particular emphasis on environmental medicine, mass spectrometry, and sample preparation technology. Her work spans pharmaceutical analysis, environmental monitoring, and clinical applications, with a strong focus on developing practical analytical solutions for complex real-world problems. She has made significant contributions to the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) methodology, adapting it for environmental and clinical matrices, and has developed educational tools like the 'Periodic Table' for liquid chromatography separation modes and mass spectrometry instrumentation. Her publication record demonstrates consistent productivity across environmental analysis, mass spectrometry, and chromatography. The trends in her work show increasing focus on environmental applications of analytical techniques, particularly regarding pollutant monitoring and sustainable analytical methods. While maintaining strong foundations in mass spectrometry fundamentals, her recent work has expanded into green chemistry applications and the intersection of analytical science with environmental sustainability. Dr. Godfrey has received significant recognition through her professional designations: Chartered Chemist Chartered Scientist Fellow of The Higher Education Academy She has successfully secured diverse research funding from UKRI, EU programs, industry partners, and charities, totaling over £2 million across multiple projects. Her supervision record includes PhD, MRes, and MPhil students, with current projects focusing on environmental and health impacts of chemical pollutants. Beyond her university role, she actively contributes to the scientific community as Secretary of the RSC Analytical Methods Committee's Instrumental Analysis Expert Working Group and as an RSC Chemnet Ambassador promoting science education.

Renato J. Figueiredoمشاهده پروفایل

استاد

• Distributed Systems
• Cyberinfrastructure
• Resource Virtualization
• +۷ مورد دیگر

Renato J. Figueiredo is a Professor at the School of Electrical Engineering and Computer Science (EECS) at Oregon State University , where he leads the HiPCastor research group. His work focuses on distributed systems , cyberinfrastructure , and resource virtualization across edge-to-cloud computing, applied to ecological forecasting , biodiversity , and smart communities . Prior roles include Assistant Professor at Northwestern University (2001-2002) and Associate/Full Professor at the University of Florida (2002-2024), with sabbatical research at Vrije Universiteit (2012-2013). Education : Ph.D., Computer Engineering, Purdue University (2001) M.S., Electrical Engineering, University of Campinas (1995) B.S., Electrical Engineering, University of Campinas (1994) Research Interests span virtualization technologies (virtual machines, networks, file systems), edge and cloud computing , and cyberinfrastructure for interdisciplinary science, particularly freshwater ecosystems and biodiversity . His work integrates software-defined networking and serverless computing to enable scalable, resilient systems for real-time ecological monitoring and decision-making . Research Trends in recent articles emphasize edge-to-cloud virtual networks (e.g., EdgeVPN.io), serverless scientific workflows (FaaSr), and ecological forecasting systems (FLARE) applied to water quality and climate change mitigation . His work bridges computer systems with natural sciences to address societal challenges. Scientific Awards include: 2017 University of Florida Term Professorship 2012 ACM HPDC Symposium Best Paper of 1992-2012 2008 WETICE and ACM HPDC Best Paper Awards 2007 IBM Faculty Award 2000 Maria Canto Neuberger Award (Purdue) Advising and Grants : Actively recruits students with expertise in computer systems , Linux , cloud platforms , and open-source development . His career includes over 50 funded projects as PI/Co-PI/senior personnel from NSF , Intel , IBM , NOAA , DOE , and NASA , including the NSF CI-Elements award for EdgeVPN development and iDigBio collaborations. Labs and Teams : Leads the HiPCastor research group at Oregon State University, focusing on systems and HPC for serverless computing , distributed systems , and emerging applications in environmental sciences. His team develops open-source tools like EdgeVPN and FaaSr , with emphasis on real-world impact and interdisciplinary collaboration .