جست‌وجوی استاد و پژوهشگر

• Bioinformatics
• Artificial Intelligence in Healthcare
• Digital Health
• +۷ مورد دیگر

Dr. Ali Hasnain is a Lecturer in Computational Biology and Data Analytics at the Royal College of Surgeons in Ireland (RCSI), School of Pharmacy and Biomolecular Sciences. He holds a PhD from the National University of Ireland Galway and has over 15 years of experience in academia and the software industry, including roles as a Senior Researcher at University College Dublin and Adjunct Lecturer at the Insight Centre for Data Analytics. His research focuses on Artificial Intelligence in Healthcare, Digital Health, Bioinformatics, and Semantic Web technologies, with expertise in data analytics for life sciences and healthcare management. Education: PhD in Bioinformatics & Data Analytics, National University of Ireland Galway MSc in Engineering and Management of Information Systems, Royal Institute of Technology (KTH), Sweden MSc in Project Management and Operational Development, KTH, Sweden BSc (Honors) in Computer Science, Pakistan Institute of Engineering and Applied Sciences Research Interests: Dr. Hasnain’s work bridges computational biology, data science, and healthcare. Key areas include developing algorithms for biomedical data integration, AI-driven query systems for healthcare knowledge graphs, and optimizing pesticide efficacy through genomic analysis. His recent projects address challenges in dementia care technology and environmental stress impact on organisms . Awards & Recognition: Best Paper Awards at ESWC 2017, ISWC2018, and ESWC 2018 Young Scientific Researchers Grant from SWSA/NSF (2012, 2015) Grants & Collaboration: Led the Dementia and Technology (DaTe) project (2021–2023), funded by the Irish Research Council. Collaborations include work on federated SPARQL query systems and semantic web solutions for large-scale biomedical data. Labs & Teams: Active in RCSI’s Pharmacy & Biomolecular Sciences labs, contributing to interdisciplinary projects. Previously led research initiatives at Insight Centre and UCD’s School of Computer Science.

Barry Brennanمشاهده پروفایل

پژوهشگر

• Materials Science
• Nanotechnology
• Surface Chemistry
• +۶ مورد دیگر

Barry Brennan is a Staff Research Scientist at Atlantic Technological University (ATU) within the School of Natural Sciences and Mathematics, based in Sligo. He holds a PhD in Physics from Dublin City University (2009), specializing in surface characterization of III-V semiconductors. His research focuses on advanced materials characterization techniques such as Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS), X-ray Photoelectron Spectroscopy (XPS), and Raman spectroscopy to study nanomaterials like graphene, 2D materials, and high-k dielectrics. He has held visiting positions at the National Physical Laboratory (UK) and contributed to over 80 peer-reviewed publications, addressing challenges in materials synthesis, surface functionalization, and energy storage systems. Education: PhD in Physics (Dublin City University, 2009), specializing in surface and interface characterization of high-k dielectric materials on III-V semiconductors. Postdoctoral research at the University of Texas at Dallas (2010–2014) and the National Physical Laboratory (2014–2022). Current roles include leadership in nanomaterials research and collaboration with industry partners. Research interests include: 1) Characterization of 2D nanomaterials (graphene, MoS2, hBN) for electronic and biomedical applications; 2) Surface cleaning and functionalization of nanomaterials for device fabrication; 3) Development of sustainable catalytic systems using Prussian blue analogues; 4) Electrochemical studies of battery materials (lithium-ion, sodium-ion); and 5) Innovations in nanocomposite drug delivery systems. His work aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and industry, innovation, and infrastructure (SDG9). His recent articles explore topics like gas cluster ion beam cleaning for graphene electronics, Fenton reaction catalysis using FeCo Prussian blue analogues, and optimization of nanofiber-based drug delivery systems. Collaborative projects involve academic institutions and industrial partners in materials science and energy technology. Labs/Teams: Active member of ATU’s research groups focused on materials characterization and nanotechnology. Previously affiliated with the National Centre of Excellence in Mass Spectrometry Imaging and the National Graphene Metrology Centre (UK).

• Spectral Imaging
• Machine Learning
• Environmental Science
• +۳ مورد دیگر

Junli Xu is an Associate Professor at the School of Biosystems and Food Engineering at University College Dublin (UCD), under the UCD Ad Astra Fellowship. She holds a Bachelor's degree from Zhejiang University (2014) and a PhD in Food Engineering from UCD (2018). Her research focuses on spectral imaging combined with advanced data analysis (machine learning/deep learning) for solving problems in environmental science, food safety, and biomedical engineering. Key projects include developing spectral imaging frameworks for detecting microplastics and assessing their health impacts. Her research interests span spectral imaging, machine learning applications, environmental monitoring, and toxicology. She has secured grants such as the ERC Starting Grant and SFI-IRC Pathway Programme. Xu leads the UCD Spectral Imaging Research Group and has supervised multiple PhD students. She has published extensively in journals like Science of the Total Environment and Environmental Pollution . Her work includes innovations like the BOX-YOLOv8 framework for hyperspectral core analysis and machine learning-driven methodologies for microplastic detection. She also contributes to professional activities, including editorial roles in Current Research in Food Science and peer review for journals like Food Control .

Gary Brennanمشاهده پروفایل

استادیار

• Epigenetics
• RNA Biology
• Epilepsy
• +۲ مورد دیگر

Dr. Gary Brennan is an Assistant Professor at the School of Biomolecular and Biomedical Science, University College Dublin, and a member of the Conway Institute. He is a Funded Investigator at the FutureNeuro Research Center and has held affiliations with institutions including the Royal College of Surgeons in Ireland (RCSI) and the University of California-Irvine. His research focuses on the molecular mechanisms of epilepsy, particularly epigenetic and epitranscriptomic regulation, RNA modifications, and neuroinflammatory pathways. Education: PhD in Physiology & Medical Physics from RCSI (2015) Postdoctoral Training: University of California-Irvine (2012-2015) under Prof. Tallie Z. Baram; RCSI (2016-2018) under Prof. David Henshall His research program addresses three critical challenges: (1) understanding molecular reprogramming after brain insults, (2) developing RNA-based therapies targeting epigenetic processes, and (3) identifying peripheral biomarkers for epilepsy prediction. Key contributions include studies on microRNA regulation of seizure networks, m6A RNA methylation in temporal lobe epilepsy, and systemic delivery of antagomirs timed with blood-brain barrier disruption. His work has been published in journals like Nature Reviews Neurology , JCI Insight , and Molecular Brain . Recent funding includes grants from Science Foundation Ireland (SFI), Health Research Board (HRB), and the European Union. He has received awards such as the CURE Taking Flight Award and Marie Curie Fellowship. Dr. Brennan also supervises PhD students and coordinates modules on CNS diseases and multicellular systems.

• Cancer Biology
• Hematopoietic Malignancies
• Extracellular Vesicles
• +۶ مورد دیگر

Margaret McGee is an Associate Professor at the School of Biomolecular and Biomedical Science , University College Dublin , with a research focus on cancer biology and extracellular vesicle signaling. Her work spans hematological malignancies, bone marrow microenvironment interactions, and mitotic regulatory mechanisms. She coordinates major modules including Genetic Basis of Disease and Regulation of Gene Expression . BSc University of Reading Dip Applied Science Dublin Institute of Technology PhD Biochemistry Trinity College Dublin Her research explores extracellular vesicle-mediated communication in cancer progression, cyclophilin A's role in mitotic exit, and preclinical biotherapeutic development. Current collaborations with Vejle Hospital Denmark and Mater Hospital Dublin investigate EV-based liquid biopsies for therapy response prediction. Notably, she co-authored the foundational MISEV2023 guidelines for extracellular vesicle research. Scientific contributions include: Wellcome Trust ISSF Mid Career Fellow (2017) Conway Institute Fellow (2007) IRCSET Fellowship (2003) She leads the EU Twinflag consortium for EV-based biomarker development in joint disorders and chairs the SBBS Research, Innovation and Impact Committee (2020-2024). Her lab has trained numerous researchers who now hold prominent positions in academia and industry.

Barak Pearlmutterمشاهده پروفایل

استاد

• Adaptive systems
• Automatic differentiation
• Theoretical neurobiology
• +۸ مورد دیگر

Professor Barak Pearlmutter is affiliated with Maynooth University in the Faculty of Science & Engineering . His research spans multiple domains including automatic differentiation , neural networks , machine learning , and neuroscience . He has contributed significantly to adaptive systems , brain imaging , and programming language design . Research Interests include: Adaptive systems, automatic differentiation, theoretical neurobiology, neural networks, machine learning, acoustic source separation/localization, neuroscience, brain imaging, programming language design, and computational neuroscience. Publications focus on applying algorithmic differentiation to machine learning, developing neural ODE models for biomedical signals, advancing sparse NMF techniques, and integrating functional programming with numerical methods. Collaborations span institutions like MIT, Oxford, and IEEE societies, with work in brain-computer interfaces , MEG source localization , and neuromodulation for tinnitus treatment. Technical Contributions include the DiffSharp AD library for .NET languages and foundational work on reverse-mode automatic differentiation in functional frameworks. His 2018 Journal of Machine Learning Research survey on AD remains a seminal reference in the field. Application Areas cover biomedical signal processing , optical brain-computer interfaces , cognitive modeling , and neural code optimization . His work intersects computer science, neuroscience, and mathematical computing through sparse decomposition and probabilistic modeling .

John Nelsonمشاهده پروفایل

استاد

• Biomedical Engineering
• Activity Recognition
• Wireless Sensor Networks
• +۵ مورد دیگر

John Nelson is a Professor at the University of Limerick's Department of Electronic and Computer Engineering, part of the Faculty of Science and Engineering. His contact information includes email john.nelson@ul.ie and phone +353-(0)61-202358, with office location D2-025. His primary research interests focus on biomedical applications of engineering principles, particularly in: Medical device development including pulse oximetry and therapeutic technologies Activity recognition systems using wearable sensors and accelerometers Wireless body area networks for health monitoring AI applications in healthcare and public systems Fall detection and mobility monitoring for assisted living Mobile health frameworks for psychological interventions Analysis of his 15 most recent publications (2014-2021) reveals three dominant themes: Medical sensing technologies for pulse oximetry, aneurysm monitoring and ultrasound imaging AI/Deep Learning applications ranging from public space analysis to ethical enforcement systems Comprehensive activity recognition frameworks using multi-sensor fusion The research consistently demonstrates interdisciplinary collaboration across medicine, computer science and psychology. No awards, students, or lab/team information is available in the provided materials.

• Mathematics
• Applied Mathematics
• Computational Neuroscience
• +۳ مورد دیگر

Fei Chen is a Research Fellow in the School of Mathematics at Trinity College Dublin. Their work focuses on interdisciplinary research at the intersection of mathematics, neuroscience, and biomedical engineering. Current research interests include predictive coding models in auditory perception, Bayesian inference frameworks for phantom perception, and applications of machine learning in diagnosing hearing-related disorders. Fei's recent publications explore topics such as auditory illusion modeling, chronic pain mechanisms through predictive processing lenses, and systematic reviews of autoimmune-related hearing loss. Their work combines advanced mathematical modeling with clinical data analysis to advance understanding of sensory perception disorders. Advisees/PhD students: None listed at this time. No scientific awards mentioned in available records. Research activities include collaboration with clinical teams to investigate neural networks involved in auditory processing anomalies and developing computational tools for hearing diagnostics.

• DNA photochemistry
• Time-resolved spectroscopy
• Nanoparticle design
• +۶ مورد دیگر

Professor Susan Quinn is a distinguished academic at University College Dublin's School of Chemistry, where she has been a tenured faculty member since 2012. Her research focuses on the intersection of photochemistry, DNA interactions, and nanomaterials, with particular emphasis on understanding light-activated processes that influence DNA integrity. She leads the Quinn Research Group, which investigates both direct UV-light excitation damage to DNA and indirect damage caused by photoexcited molecules and nanoparticles bound to DNA. Her research interests span DNA photochemistry, time-resolved spectroscopy across femtosecond to microsecond timescales, nanoparticle design for DNA imaging, and development of novel methods to characterize binding interactions with DNA. Quinn's work has significant implications for photodynamic therapy and medical applications. Her recent publications reveal a strong focus on G-quadruplex DNA structures, chiral resolution of transition metal complexes, and sustainable nanomaterials derived from waste products. Analysis of her 15 most recent publications shows a consistent pattern of interdisciplinary research bridging chemistry, biochemistry, and nanotechnology. Her work frequently employs time-resolved infrared spectroscopy to study DNA interactions with metal complexes, with growing interest in biomedical applications of carbon-based nanomaterials. Recent publications demonstrate increasing collaboration with biomedical researchers for applications in cancer therapy, osteoarthritis treatment, and environmental monitoring. RSC Rita and John Cornforth Award (2016) for structural work on DNA-transition metal complexes and proof of the origins of the 'light-switch' effect Professor Quinn has supervised numerous PhD and undergraduate students through their research projects, with many publications resulting from these collaborations. Her group has secured significant research funding including the SUGARCOAT project (2023-2024) focused on smart carbohydrate-based materials for medical device coatings. The Quinn Research Group maintains active collaborations across multiple disciplines to develop new methods for observing and understanding DNA in living cells, with potential applications in drug discovery and medical diagnostics.

• Oral Cancer Diagnostics
• Vibrational Spectroscopy
• Raman Microspectroscopy
• +۵ مورد دیگر

Dr. Genecy Calado de Melo is a Lecturer in Operative and Primary Care Dentistry at the Royal College of Surgeons in Ireland (RCSI) School of Dentistry . As a registered dental surgeon with advanced training in dental medicine and a PhD in oral cancer diagnostics via vibrational spectroscopy, he bridges clinical practice with cutting-edge research. Education : PhD, Technological University Dublin (2019) MSc in Dentistry, Fernando Pessoa University (2018) Bachelor of Dental Surgery, Universidade Tiradentes (2014) Member of the Faculty of Dentistry, RCSI Research Focus: Specializing in Raman microspectroscopy for oral cancer detection , his work develops minimally invasive diagnostic protocols using saliva and brush biopsy samples . Key contributions include multiblock data analysis for improved diagnostic accuracy and standardized Raman acquisition protocols . Scientific Impact: His research has been recognized with the RCSI award at the British Society of Oral & Maxillofacial Pathology . With over 15 peer-reviewed publications, his work explores spectral differentiation of oral lesions , salivary biomarkers , and clinical applicability of biophotonics . Clinical Expertise: Prior clinical experience in primary dental care , oral medicine , and paediatric dentistry informs his translational research approach, emphasizing practical diagnostic solutions that reduce patient trauma while maintaining clinical rigor.

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +۶ مورد دیگر

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .

Elfed Lewisمشاهده پروفایل

استاد

• Optoelectronics
• Neural Networks
• Optical Fibre Sensors
• +۳ مورد دیگر

Elfed Lewis is a Professor in the Department of Electronic and Computer Engineering at the University of Limerick's Faculty of Science and Engineering. He serves as Director of the Optical Fibre Sensors Research Centre (OFSRC) and is a member of both the Limerick Digital Cancer Research Centre and the Optical Fibre Sensors Research Centre. With over 28 years of academic leadership since joining University of Limerick in 1996, Professor Lewis has established himself as a world-renowned researcher in optical fiber sensing technologies, with more than 200 journal papers and 150 conference contributions. Professor Lewis earned his BEng (Hons) in Electrical and Electronic Engineering from Liverpool University in 1981 and completed his PhD from the same institution in 1987. His doctoral research focused on high-speed photography and spectroscopy of electric circuit breaker arcs during the current zero phase. Prior to joining UL, he worked with BICC Telecom Cables and established a research group at Liverpool John Moores University. Professor Lewis's research spans Optoelectronics, Neural Networks, Optical Fibre Sensors, and Advanced Sensors and Instrumentation , with significant applications in medical physics (particularly radiation dosimetry for cancer treatment), environmental monitoring, and industrial sensing. His research fingerprint shows dominant activity in Fiber Optics Engineering (100%), Fiber Optic Sensor Engineering (69%), and Glass Fiber Material Science (50%). His recent publications (2024-2025) demonstrate a clear focus on applying optical fiber sensor technology to solve critical challenges in radiotherapy dosimetry, with particular attention to FLASH radiotherapy, small-field radiation measurements, and real-time dose monitoring systems. The research trajectory shows increasingly sophisticated sensor designs capable of multi-parameter measurements with high precision for clinical applications. Institute of Measurement and Control Finkelstein Award for excellence in International Research (2024) University of Limerick President's Research Excellence Impact award (2023) University of Limerick Special Achievement in Research Award (2005) Fulbright Scholar (2008) Distinguished Lecturer for IEEE Sensors Council (2013-2015) Vice President for Technical Operations for the IEEE Sensors Council (2017-2019) Vice President of International Society of Sensing Technology (2025) Fellow of Institute of Physics, IET, and Royal Society of Chemistry Senior member IEEE Professor Lewis actively supervises PhD students and has secured substantial research funding supporting his work. He has organized major international conferences including IEEE Sensors 2011, EWOFS 2016, IEEE World Forum on Internet of Things (2019), and Sensors and Applications Conference 2024. His leadership extends to editorial roles and professional society governance. As Director of OFSRC, Professor Lewis leads a multidisciplinary team focused on advancing fiber optic sensing technologies with strong collaborations with medical institutions for cancer treatment applications and industrial partners. Current projects emphasize development of next-generation sensors for precision medicine, particularly in radiation oncology, contributing to UN Sustainable Development Goals related to health, industry innovation, and clean water.

• Data Mining
• Distributed Systems
• Cloud Computing
• +۴ مورد دیگر

Professor Mohand Tahar Kechadi is a Full Professor at the School of Computer Science, University College Dublin (UCD), where he has been since 1999. His research focuses on Data Mining, Distributed Systems, Digital Forensics, and Healthcare Informatics. He has published over 260 articles and serves on editorial boards of journals like Future Generation Computer Systems and IST Transactions . He also holds roles in academic leadership, including directing UCD’s international BSc program in Sri Lanka and previously serving as Head of Teaching and Learning (2007–2012). Education: PhD and DEA (MSc) in Computer Science from the University of Lille, France; HDip in University Teaching & Learning from UCD. Research: Explores challenges in big data processing, including distributed data mining, cloud computing, and privacy-preserving techniques. Recent work addresses applications in healthcare (e.g., wearable devices, medical imaging), agriculture (precision farming), and cybersecurity (blockchain, IoT trust management). Grants: Led a grant on evaluating sugar-sweetened beverage taxes (2018–2019). Collaborates on projects like BigO, a public health decision support system for pediatric obesity. Teaching: Coordinates modules in Cloud Computing, Data Mining, and Distributed Systems. Developed a code-free cloud service for biomedical signal processing and advocates inclusive assessment strategies. Awards: None explicitly stated. Recognized for contributions to interdisciplinary research and education.

Jufan Zhangمشاهده پروفایل

استادیار

• Nanopore Manufacturing
• Micro/Nano Manufacturing
• Biomedical Devices
• +۳ مورد دیگر

Dr. Jufan Zhang is an Assistant Professor at the School of Mechanical and Materials Engineering, University College Dublin, Ireland. He is also a member of the UCD Centre of Micro/Nano Manufacturing Technology and the SFI I-Form Advanced Manufacturing Research Centre. His research focuses on advanced manufacturing technologies including nanopore arrays, microneedle devices, geometrical waveguide AR displays, and atomic-scale manufacturing. He holds a PhD from Harbin Institute of Technology, China. Education: B.E., M.E., and Ph.D. in Mechanical Engineering from Harbin Institute of Technology, China Professional Roles: Faculty member, Lab Manager, and funded investigator in multiple research centers Research Interests: Manufacturing of large-scale solid-state nanopore arrays for biomedical and renewable energy applications Design of microneedle drug delivery systems Optical waveguide innovations for ultra-thin AR displays Surface texturing for improved joint tribology Atomic-scale manufacturing processes Recent articles highlight advancements in nanopore array applications, laser shock peening for additive manufacturing, and AR display technologies. His work bridges fundamental research with industrial applications through collaborations with companies like Watson Biotech and Changan University. Awards include the Career Development Award (UCD), International Science and Technology Cooperation Base recognitions (Shaanxi and Xi’an provinces), and top downloaded article honors. He actively participates in global conferences and serves on editorial and review boards for journals like Small and International Journal of Advanced Manufacturing Technology . Teaching responsibilities include coordinating modules like Automotive Design and Thermodynamics, with recent teaching awards for curriculum reform. He supervises PhD students and manages over 30 grants totaling €multi-million, including EU and industry partnerships. Lab affiliations include the UCD AI Healthcare Hub and the Una Europa Self-Steering Committee on Future Materials, advancing interdisciplinary research in manufacturing and healthcare.

Silvia Giordaniمشاهده پروفایل

استاد

• Nanomaterials
• Biomedical Engineering
• Energy Applications
• +۵ مورد دیگر

Prof. Silvia Giordani is a Full Professor and Chair of Nanomaterials at Dublin City University's School of Chemical Sciences, and a Principal Investigator at DCU's Life Sciences Institute. She holds additional roles as a reviewer/editor for journals like Beilstein Journal of Nanotechnology and ACS Applied Materials & Interfaces . Her research focuses on designing hybrid nanomaterials for biomedical, energy, and environmental applications, leveraging expertise in organic chemistry, materials engineering, and biology. Giordani earned her PhD from the University of Miami and completed postdoctoral work at Trinity College Dublin and the University of Trieste. Notable awards include the President of Ireland Young Researcher Award (2007) and the MAK’IT Fellowship (2024). She has advised over 50 students and published extensively, with over 160 peer-reviewed articles in journals like Nature Nanotechnology and Advanced Materials . Her work emphasizes carbon-based nanomaterials (e.g., nano-onions) for targeted drug delivery, bioimaging, and toxicity assessment. Collaborations include institutions like the Istituto Italiano di Tecnologia and the University of Turin. Giordani also engages in outreach, mentoring at schools and science festivals. Recent projects include ENACT (engineering nanomaterials for cancer therapy) and Modulation Of Carbon Nanoparticles for pAncReatic Cancer tHerapy . Her lab explores multifunctional nanocarriers, biodegradable systems, and sustainable nanotechnology solutions.