جستجوی استاد راهنمای دانشگاهی

Katarina Domijanمشاهده پروفایل

دانشیار

• Bayesian applications to data analysis
• Machine learning
• Statistical computing
• +۳ مورد دیگر

Katarina Domijan is an Associate Professor in Statistics at the Department of Mathematics and Statistics, Maynooth University, Ireland. She holds a PhD in Statistics from Trinity College Dublin (2008) and has been affiliated with Maynooth University since 2008, transitioning from Lecturer/Assistant Professor to her current role in 2024. Her academic career includes editorial roles as Associate Editor for The R Journal (2021–present) and the Journal of Computational and Graphical Statistics (2015–2024). Research Interests focus on Bayesian methods for high-dimensional data, particularly in classification problems. She specializes in feature selection and model visualization, with applications spanning agricultural data analysis (e.g., hyperspectral imaging for lactose prediction), medical diagnostics (e.g., sepsis and cancer detection), and space physics (e.g., Saturn Kilometric Radiation classification). Her work bridges theoretical statistics with real-world challenges, including socio-economic studies and forensic science. Key Research Areas Bayesian statistical inference Machine learning for large feature spaces Statistical computing and model interpretability Data visualization and chemometrics Scientific Contributions include leading projects like VistaMilk Phase II (2024–2030, €152,300) and Measuring Carbon Sequestration (2024–2028, €174,788.90). Her 15 most recent publications highlight advancements in ensemble modeling, spatial statistics, and medical diagnostics. Scientific Awards Associate Editor, The R Journal (2021–present) Associate Editor, Journal of Computational and Graphical Statistics (2015–2024) Student Supervision includes PhD and MSc graduates such as Dr. Bruna Wundervald (2024) and Dr. Mark O’Connell (2017). She also collaborates with researchers across disciplines, including Dr. Nadim Akasheh in food hypersensitivity studies.

Damien Woodsمشاهده پروفایل

استاد

• DNA Computing
• Molecular Programming
• Self-Assembly
• +۳ مورد دیگر

Professor Damien Woods is a faculty member at Maynooth University's Faculty of Science & Engineering, specifically affiliated with the Department of Computer Science and the Hamilton Institute. He leads groundbreaking research in DNA computing, molecular programming, and optical computing, focusing on self-assembly, algorithmic design, and computational complexity. ERC Consolidator Grant: 'Computationally Active DNA Nanostructures' SFI ERC Support Award EIC Pathfinder Challenge Grant: 'DISCO - DNA Infrastructure for Storage and Computation' His research projects explore programmable DNA storage, molecular robotics, and robust self-assembly systems. Recent publications span diverse topics like algorithmic DNA tile assembly, thermodynamic stability, and computational universality in nanosystems. Awards include ERC and SFI grants, with a focus on bridging theoretical computer science and experimental molecular biology. Scientific Contributions include: 2022: 'Turning Machines' - Molecular Robotics 2019: 'Diverse Molecular Algorithms' in Nature 2017: 'A Cargo-Sorting DNA Robot' in Science

• Physics of Complex Systems
• Self-Assembly Processes
• DNA Nanotechnology
• +۱ مورد دیگر

Constantine Evans is a Research Fellow at the Hamilton Institute, Maynooth University, focusing on the physics of complex self-assembly processes. His work examines how simple particles organize into intricate structures through algorithmic self-assembly, with applications in DNA nanotechnology and computational modeling. Institution: Maynooth University Research Unit: Hamilton Institute Location: Eolas Building, 3rd Floor, Office 339 Research Interests: Evans investigates non-equilibrium self-assembly systems, particularly DNA tile crystal growth and kinetic control mechanisms. His research bridges physics, computational theory, and molecular engineering to uncover unexpected behaviors in basic physical processes. Publication Trends: His recent work (2018-2024) demonstrates interdisciplinary advancements in DNA computing, focusing on proofreading systems, tile compiler optimization, and kinetic modeling. These publications span peer-reviewed journals, conference proceedings, and algorithmic frameworks that connect theoretical computer science with experimental biophysics. Labs & Teams: He is affiliated with the Hamilton Institute, a research center specializing in systems biology, computational modeling, and interdisciplinary scientific investigations.

Annette Byrneمشاهده پروفایل

استاد

• Precision Medicine
• Molecular Imaging
• Angiogenesis
• +۷ مورد دیگر

Professor Annette Byrne is a leading academic at RCSI University of Medicine and Health Sciences , where she serves as Professor of Physiology and Head of the Precision Cancer Medicine (PCM) Group. She has held this position since 2019 after progressing through roles as Lecturer (2008), Senior Lecturer (2013), and Associate Professor (2017). Her research focuses on precision medicine approaches for colorectal and brain cancers , integrating multi-modality molecular imaging , Next Generation Sequencing , and patient-derived xenograft models . PhD in Cell Biology (University of York, 1999) John Kerner Fellowship in Gynaecologic Oncology (UCSF, 1999-2001) Scientist at Pharmacyclics Inc. (2001-2003) Senior Scientist at Angion Biomedica Corp. (2003-2005) Principal Investigator at UCD Conway Institute (2005-2008) Her research interest lies in precision cancer medicine , particularly elucidating predictive biomarkers (genomic, transcriptomic, proteomic) and identifying novel therapeutic targets . Key methodologies include radiomics , fluorescence-guided surgery , and systems modeling of apoptosis pathways. She has pioneered Ireland's first Tumour Xenograft Facility and Translational In Vivo Imaging Centre . Recent publications highlight her work on cross-species radiomics , cell-free DNA analysis , and glioblastoma microenvironment subtyping . Her Marie Curie networks (Gliotrain, Glioresolve) and COLOSSUS project have trained 25+ PhD researchers in brain cancer therapeutics. Over €45M in national/international grants Member of Royal Irish Academy (2025) Highly cited in Cancer Discovery , Annals of Oncology , and Nature journals She supervises multiple PhD candidates and leads the RCSI Precision Cancer Medicine Group , which utilizes computational approaches and molecular imaging to improve cancer treatment outcomes. Her GLIORESOLVE and EDIReX projects focus on tumor microenvironment manipulation and distributed PDX infrastructure.

Md Noor-A-Rahimمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +۴ مورد دیگر

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

• Machine Learning
• Time Series Analysis
• Text Mining
• +۷ مورد دیگر

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

• Prostate Cancer
• Cancer Biology
• Translational Research
• +۷ مورد دیگر

Professor Bill Watson is a Full Professor of Cancer Biology at the University College Dublin, School of Medicine , where he serves as Head of Pathology and Director of the Biomedical Health and Life Science BSc program. With a PhD in Biochemistry (University College Cork, 1995) and post-doctoral training at the University of Toronto, he has led translational research in prostate cancer since returning to UCD in 1997. His work focuses on biomarker discovery, therapy resistance mechanisms, and clinical decision tools through the Prostate Cancer Research Consortium and iPROSPECT collaborations. Education: BSc (University College Dublin), PhD (Royal College of Surgeons in Ireland), Post-Doctoral Research Fellow (Toronto General Hospital) His research integrates genomic, epigenetic, and proteomic biomarkers to improve prostate cancer stratification and treatment selection, as demonstrated in the Movember Global Action Plan and ToPCaP initiatives. Recent studies include validating a six-gene MCRS signature for biopsy-based prognostics (2025) and developing beta mixture models for DNA methylation analysis (2024). Scientific Awards include the Alton Prize (2000), Presidents Awards for Teaching (2000, 1998), and Young Investigator Award (1995). He has received grants such as the UCD Equip Scheme (2021) and Molecular Therapeutics for Cancer (2009-2015) . Professional Leadership: Irish Association for Cancer Research (President 2014-2017), Cancer Trials Ireland (Chair of Translational DSSG 2014-present), and Royal Academy of Medicine in Ireland (Fellow since 2006)

• Neuroscience
• Neuropharmacology
• Neurodegenerative Diseases
• +۵ مورد دیگر

Professor Aideen Sullivan is Head of the Department of Anatomy and Neuroscience at University College Cork (UCC). With a career spanning over two decades at UCC, she leads research on neuroprotective therapies for Parkinson's disease, focusing on growth factors, stem cell applications, and epigenetic mechanisms. She established Ireland's first BSc in Neuroscience and co-developed the cross-College BSc in Medical and Health Sciences (CK707). BSc (First Class Honours) in Pharmacology, University College Dublin (1992) PhD in Neuropharmacology, University of Cambridge (1995) Her research program investigates Parkinson's disease through five key themes: viral vector delivery of neurotrophic factors, molecular mechanisms of neuroprotection, biomarker discovery, neuronal degeneration models, and stem cell-based treatments. She has secured significant grants from Health Research Board, Enterprise Ireland, and the Wellcome Trust. Recent publications (2022-2020) emphasize epigenetic regulation (HDAC inhibitors), microbiome-gut-brain axis interactions, and novel neurotrophic strategies. Articles highlight GDF5's neuroprotective effects, miRNA modulation, and molecular pathways like BMP-Smad and p38-MAPK. Scientific awards include: Postgraduate Certificate in Teaching and Learning (UCC, 2006) FETAC Certificate in Peer-Mentoring (2010) Leadership Foundation Aurora Programme Scholarship (2015) Over €2 million in research grants She mentors undergraduate and postgraduate students, chairs UCC's Athena SWAN 'Flexible Working' group, and serves as Editor-in-Chief of Neuronal Signaling . Her work spans laboratory research, public engagement, and educational innovation.

• Medicinal Chemistry
• Organic Synthesis
• Cancer Therapeutics
• +۵ مورد دیگر

Dr. Daniel Alencar Rodrigues is a Lecturer at the Royal College of Surgeons in Ireland (RCSI) in the School of Pharmacy and Biomolecular Sciences. He holds a PhD in Chemistry from the Federal University of Rio de Janeiro and has held academic positions including Assistant Professor (2017–2018) and Postdoctoral Researcher (2020–2023). His research focuses on medicinal chemistry, organic synthesis, and cancer therapeutics, particularly targeting histone deacetylases (HDACs), phosphatidylinositol-3-kinase (PI3K), and the development of Proteolysis Targeting Chimeras (PROTACs). Education: PhD in Chemistry, Federal University of Rio de Janeiro (2015–2019) MSc in Chemistry, Federal University of Rio de Janeiro (2013–2015) Bachelor in Pharmacy, Federal University of Goiás (2008–2012) Postgraduate Diploma in Health Professions Education, RCSI (2023–2024) His research interests include: Design and synthesis of multi-target drugs and PROTACs for cancer therapy HDAC6 inhibition in breast and brain cancers Computational chemistry for drug design (molecular docking, virtual screening) Development of novel anticancer agents targeting metabolic vulnerabilities Dr. Rodrigues has received the Government of Ireland Postdoctoral Fellowship and has a robust publication record with over 20 peer-reviewed articles. His lab employs a multidisciplinary approach combining organic synthesis, computational modeling, and biological evaluation. Teaching responsibilities include lecturing in the Master of Pharmacy (MPharm) and BSc in Advanced Therapeutic Technologies programs, with a focus on musculoskeletal and haematological health modules. He emphasizes constructive alignment in teaching practices.

• Machine Learning
• Statistics
• Model-Based Clustering
• +۵ مورد دیگر

Brendan Murphy is a Full Professor in the School of Mathematical Sciences at University College Dublin since 2015, previously holding a Professor role at the same institution (2007-2015) and a Lecturer position at Trinity College Dublin (1999-2007). He is a Principal Investigator at the Insight Centre for Data Analytics and actively works in Machine Learning & Statistics. Research Focus: His work centers on Model-based clustering Mixture models Applications in sports analytics, food science, microbiome studies, and public health Bayesian statistical methods High-dimensional data analysis Article Trends: Murphy's recent publications (2024-2025) emphasize soft clustering techniques, Bayesian mixture models, and their applications across diverse domains including metabolomics, political science, and oceanography. His work addresses challenges in variable selection, robust classification, and multi-omics integration.

Abeer Eshraمشاهده پروفایل

پژوهشگر

• DNA Computing
• Molecular Computing
• Nanotechnology
• +۴ مورد دیگر

Abeer Eshra is a Postdoctoral Researcher at the Hamilton Institute, Maynooth University, specializing in cutting-edge DNA computing research. She works from the Eolas Building, 3rd Floor, Room 340, and serves as Principal Investigator for significant research projects advancing molecular computing. Dr. Eshra's research focuses on developing innovative DNA-based computing systems that address critical limitations in the field. Her work spans DNA logic circuits, renewable computing architectures, and biomolecular reaction networks. She has made substantial contributions to creating reusable DNA computing systems that overcome the traditional one-time-use limitation of DNA circuits through thermal regulation and photoregulation techniques. Her research program demonstrates a clear trajectory from fundamental DNA computing concepts toward practical applications in nanotechnology, drug delivery, and biosensing. The interdisciplinary nature of her work bridges computer science, molecular biology, and nanotechnology, positioning her at the forefront of molecular computing innovation. Principal Investigator for €658,510 project: "Thermally-regulated Renewable and Automated DNA Computing Devices" (2025-2029) Multiple high-impact publications in top journals including Nature Nanotechnology and Journal of the American Chemical Society Research advancing sustainable and energy-efficient computational paradigms through molecular approaches Dr. Eshra's work has significant implications for future computing technologies, offering potential breakthroughs in sustainable computing, nanobiosensors, and targeted therapeutic delivery systems. Her research represents a critical step toward making DNA computing practical for real-world applications beyond theoretical demonstrations.

• Molecular Magnetism
• Functional Coordination Materials
• Coordination Polymers
• +۳ مورد دیگر

Tony Keene is an Associate Professor in the School of Chemistry at University College Dublin, specializing in molecular magnetism and functional coordination materials. With a strong background in crystallography and materials science, he leads research on coordination polymers and metal-organic frameworks (MOFs) for advanced applications in sensing and energy storage. 2002: BSc (Hons) in Chemistry, University of Southampton, UK 2007: PhD in Chemistry, University of Glasgow, UK Postdoctoral Fellow, Universität Bern, Switzerland 2009: Postdoctoral Fellow, University of Sydney, Australia 2012: Postdoctoral Fellow, University of Adelaide, Australia; Marie Curie Fellow, University of Southampton, UK 2014: Research Scientist, EPSRC National Crystallographic Service, University of Southampton, UK 2015: Lecturer in Inorganic Chemistry, University College Dublin, Ireland Professor Keene's research focuses on the rational design of coordination polymers and porous metal-organic frameworks (MOFs) to create materials that can detect chemical and physical changes through magnetometry. His work provides unique insights into absorption processes in MOFs that cannot be obtained through standard gas sorption analysis. He has a strong interest in developing separation techniques for insoluble materials, enabling the purification of product mixtures on a laboratory scale and allowing for better characterization of target compounds without interference from impurities. His research bridges the gap between molecular magnetism and functional materials design. Analysis of Professor Keene's recent publications reveals a strong focus on crystallography, molecular magnetism, and materials science. His work spans from fundamental structural studies of coordination compounds to applied research on energy storage materials like supercapacitors and battery cathodes. A recurring theme is the use of advanced characterization techniques, particularly X-ray crystallography and magnetic measurements, to understand structure-property relationships in novel materials. His research increasingly incorporates computational modeling to complement experimental findings. Member, Royal Society of Chemistry Member, British Crystallographic Association Professor Keene is actively involved in academic leadership and student engagement. He chairs the Graduate Studies Committee and the School of Chemistry Outreach and Recruitment Team. He coordinates multiple research projects for students and teaches courses ranging from introductory chemistry to specialized topics like computational X-ray crystallography. His outreach work brings chemistry to diverse audiences of all ages and interests through the School of Chemistry's enthusiastic outreach team. As head of the Outreach Team in the School of Chemistry, Professor Keene leads initiatives that bring chemistry to a wide range of audiences. His research group focuses on molecular magnetism and functional coordination materials, with particular expertise in crystallographic characterization and magnetic measurements of novel compounds.

Deborah O'Connellمشاهده پروفایل

استاد

• Low-Temperature Plasma Technology
• Plasma Medicine
• Environmental Plasma Applications
• +۴ مورد دیگر

Prof. Deborah O'Connell is a Full Professor and Director of the National Centre for Plasma Science and Technology (NCPST) at Dublin City University (DCU). She holds a PhD from DCU and has held prestigious positions including Chair at the University of York (UK) and EU Marie Curie Fellowship at Queen’s University Belfast. Her research focuses on plasma-based technologies addressing global challenges in biomedical and environmental sectors, including plasma medicine, antimicrobial applications, and green chemistry solutions. Her work emphasizes atmospheric pressure plasmas, plasma activated liquids, and diagnostic techniques. She has pioneered advancements in plasma-jet design and reactive species control. Key achievements include the Quantemol database development and co-founding the International Conference on Data-Driven Plasma Science. Prof. O'Connell has received international recognition, including the EPS/IoP Crookes Prize (2018) and the IoP Hershkowitz Award (2013). She actively contributes to global plasma science through leadership roles in the International Plasma Chemistry Society and IUVSTA's Plasma Science & Techniques Division. Her interdisciplinary research integrates plasma physics, chemistry, and biology to advance therapies and sustainable technologies. Current work explores plasma applications in agriculture, cancer treatment, and environmental remediation.

Michael Reichertمشاهده پروفایل

دانشیار

• Animal Communication
• Behavioral Ecology
• Evolutionary Biology
• +۳ مورد دیگر

Dr. Michael Reichert is an Associate Professor in the Department of Integrative Biology at Oklahoma State University (OSU), where he has served since January 2019, transitioning from Assistant to Associate Professor in July 2024. Previously, he was a Senior Postdoctoral Researcher at University College Cork (UCC), working under Prof. John Quinn on the evolutionary ecology of cognition in wild great tits. Reichert holds a BSc in Biology from the University of North Carolina and a PhD in Biological Sciences from the University of Missouri (2011). He conducted postdoctoral research at the University of Wisconsin-Milwaukee and Humboldt University in Berlin before joining UCC. His academic career includes certifications such as a Postgraduate Certificate in Teaching and Learning in Higher Education from UCC. His research focuses on animal communication and cognition, particularly in frogs and insects, exploring how environmental factors influence behavioral plasticity, sexual selection, and learning. Key areas include acoustic signaling strategies, female mate preference dynamics, and cognitive mechanisms in contests. He leads the Reichert Lab, which investigates bioacoustics, behavioral ecology, and evolutionary processes using interdisciplinary approaches. Reichert collaborates on educational outreach, such as developing free high school lessons on tradeoffs in animal behavior with the Galactic Polymath Education Studio. His work emphasizes broader impacts, including NSF-funded initiatives like the ON-RaMP program for post-baccalaureate researchers. He also engages in interdisciplinary projects, such as analyzing gut microbiota effects on avian behavior and cognition. His lab’s current projects include studying cognition in contests, the effects of noise on signal preferences, and the role of perception in communication networks. Reichert’s contributions span peer-reviewed publications, seminar series (e.g., Braincoustics), and mentorship in organismal biology and ecology.

Kevin Doolinمشاهده پروفایل

پژوهشگر

• Pervasive Computing
• Internet of Things
• Smart Agriculture
• +۷ مورد دیگر

Dr. Kevin Doolin is Executive Director at the Walton Institute for Information and Communications Systems Science, part of South East Technological University (SETU), where he oversees applied and commercial research activities. He plays a central role in driving EU research participation, proposal development, and commercialization across research units. Education: EdD in Understanding Research Orientation in Academic Institutions, University of Sheffield (Awarded: 11 April 2025) Bachelor of Technology in Electronic Engineering, (Awarded: 30 September 1994) Kevin’s research focuses on Pervasive Computing , the foundation of the Internet of Things (IoT), with applications in smart agriculture, interoperability, and digital platforms. His work bridges technical innovation and research management, particularly in EU-funded projects. Recent publications emphasize digital agri-food systems, supply chain interoperability, and the twin green-digital transition in agriculture. His most recent articles reflect a strong trend toward applying computing technologies to agricultural sustainability, with emphasis on interoperability architectures, farmer adoption of smart technologies, and secure digital systems. These works are published in journals such as Computers and Electronics in Agriculture and Digital Communications and Networks , and include commissioned reports for the European Commission. Scientific Contributions: Coordinated H2020 DEMETER (€17.5M, 60 partners), focusing on agriculture supply chain interoperability Coordinated multiple EU and Enterprise Ireland projects (SOCIETIES, PERSIST, IMSARCS) Founder of Fuseami, a Walton Institute startup for event networking Active contributor to policy and innovation ecosystems Dr. Doolin advises research units and staff on grant acquisition and commercialization. He has secured significant funding from EU Framework Programs (FP6, FP7, H2020), Enterprise Ireland, and the European Innovation Council. His leadership extends to research strategy, proposal development, and cross-unit collaboration. He is involved in innovation networks such as the Community of Practice on Industry-Academia Collaboration and contributes to standards and editorial work. His external role as President of Waterford Chamber of Commerce further underscores his commitment to regional innovation and economic development.