جست‌وجوی استاد و پژوهشگر

Vivek Nallurمشاهده پروفایل

استادیار

• Machine Ethics
• Multi-Agent Systems
• Complex Systems
• +۵ مورد دیگر

Dr. Vivek Nallur is an Assistant Professor in the School of Computer Science at University College Dublin. His research focuses on Machine Ethics, Multi-Agent Systems, emergence in socio-technical systems, and decentralized adaptation mechanisms. He holds a PhD from the University of Birmingham and advanced certifications in university teaching from UCD. Education: BBS, Delhi University Post-Graduate Diploma in Advanced Software Technology, National Centre for Software Technology MS, Carnegie Mellon University PhD, University of Birmingham Prof Cert University Teaching & Learning, University College Dublin Research Interests: Machine Ethics explores ethical decision-making in autonomous systems, while Multi-Agent Systems (MAS) are his primary tool for studying self-adaptation and emergence. He serves on key committees like IEEE P7008 (Ethically Driven Nudging) and the AAAI 2021 Spring Symposium on AI Ethics. His work bridges computer science with philosophy, law, and social sciences. Advising & Grants: Supervises three PhD students focusing on ethical AI, elder-care robotics, and AI governance. Leads the Machine Ethics Research Group and participates in the ML-Labs SFI grant (2019–2027). Professional Roles: Senior Member of IEEE, organizer for AAAI ethics symposia, and contributor to OpenAAL's ELSI panel. Teaches modules on Machine Learning, Operating Systems, and Web Development.

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.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +۳ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

• Human-Computer Interaction
• Auditory & Speech-Based Interfaces
• Accessibility Technologies
• +۳ مورد دیگر

Ian Pitt is a Lecturer in Usability Engineering and Interactive Media at University College Cork (UCC). He leads the Interaction Design, E-Learning and Speech (IDEAS) Research Group, focusing on multimodal human-computer interaction, auditory interfaces, and accessibility solutions for visually impaired users. Pitt holds a D.Phil from the University of York, followed by research fellowships at Otto-von-Guericke University in Germany before joining UCC in 1997. His research interests include speech-based interfaces, e-learning systems, and accessibility technologies for blind users. Key projects include the EU-funded ENABLE Network (2011–2014) and prototype development for UniWink. He has secured significant grants, including €72,009 from IRCSET for voice analysis research and €19,478 from the EU for ICT-supported learning initiatives. Pitt has advised numerous PhD students, including Flaithri Neff (2011), Emma-Kate Crowley (2014), and current candidates Aine Kearns and Patrick Egan. His publications span journals like International Journal of Game-Based Learning and conferences such as ICCHP and ACM SIGACCESS. He has contributed to committees for conferences like CHI and the Irish HCI conference. Teaching modules include Usability Engineering, Human-Computer Interaction, and Digital Media Development. His work emphasizes inclusive design principles, with projects addressing navigation systems for blind students and adaptive e-learning frameworks. Recent research trends focus on ICT-delivered aphasia rehabilitation, emotional BCI interfaces, and multimodal learning systems. Collaborations include international partners through EU grants, reflecting his global impact in accessibility and educational technology.

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

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +۴ مورد دیگر

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

Paul Maherمشاهده پروفایل

دانشیار

• Social Psychology
• Political Attitudes
• Epistemic Emotions
• +۶ مورد دیگر

Paul Maher is an Associate Professor at the University of Limerick's Department of Psychology and Centre for Social Issues Research. His research focuses on emotions, attitudes, and political orientation, particularly the role of epistemic emotions in shaping political polarization and group identity. He investigates disillusionment as an affective response to meaning-threatening events and its link to ideological rigidity and nostalgic tendencies. His work employs bipartite network visualizations to map political attitude clusters, with notable contributions during the early stages of the COVID-19 pandemic analyzing how public health attitudes predict behavioral outcomes. Maher holds a PhD awarded in 2017. Education: PhD in Psychology (2017) Key Research Areas: Political Psychology, Epistemic Emotions, Attitude Networks, Misinformation, Identity Dynamics Collaborations: Extensive work with institutions including the University of Limerick's Centre for Social Issues Research and international teams on computational social science models. His recent studies explore how social norms and opinion-sharing behaviors reinforce group identities, with applications in understanding polarization during crises. He has contributed to UN Sustainable Development Goals related to education and societal resilience through his work on trust in science and pandemic responses. Publications highlight interdisciplinary approaches, integrating agent-based modeling, network analysis, and experimental psychology. His work on disillusionment's role in Brexit and Trump phenomena demonstrates real-world policy relevance.

• 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.

• Software Engineering
• Smart Cities
• Internet of Things
• +۴ مورد دیگر

Siobhán Clarke is a Professor at the School of Computer Science and Statistics, Trinity College Dublin, specializing in software systems for smart urban environments . Her work addresses dynamic software adaptation in large-scale, mobile IoT ecosystems , with a focus on QoS optimization and collaborative agent models . Director, Enable : National SFI IoT Research Programme Director, Future Cities Centre for Smart & Sustainable Cities Co-Lead, ADVANCE : SFI Centre for Advanced Networks Co-PI, CONNECT (Future Networks) and Lero (Software Research) Her research spans smart city infrastructure , edge computing , and multi-agent coordination , informed by 15+ years of publications on service-oriented architectures , QoS prediction , and self-adaptive systems . Key project contributions include DIVERSIFY (2016) and TRANSFoRm (2015). Scientific awards include election to the Royal Irish Academy (2023) and a Best Student Paper at IEEE ICWS 2011. She has supervised 20+ PhD/MSc students, including Fan Li (2020: SLA Negotiation Systems), Gary White (2020: IoT QoS Forecasting), and Andrei Palade (2019: Stigmergic Optimization).

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +۷ مورد دیگر

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

Rebecca Owensمشاهده پروفایل

استادیار

• Proteomics
• Microbial Pathogenesis
• Antimicrobial Resistance Mechanisms
• +۳ مورد دیگر

Dr. Rebecca Owens is an Assistant Professor in the Department of Biology at Maynooth University, affiliated with the Human Health Institute. She holds a BSc (Biotechnology) from Maynooth University (2008) and a PhD (2013), supported by an IRCSET Scholarship. Her postdoctoral research focused on fungal pathogen proteomics, particularly iron-limiting conditions and mass spectrometry methodologies. In 2017, she established the Chemical Microbiology laboratory, specializing in proteomic analyses of microbial species and antimicrobial resistance mechanisms. Her work bridges academia and industry, expanding into food technology and microbiology. Dr. Owens currently supervises 4 PhD students funded by DAFM and Teagasc. Her research interests include: proteomic responses to antifungals, fungal pathogen virulence, and mass spectrometry-based methods for analyzing microbial metabolites. She has contributed to over 40 peer-reviewed publications and book chapters, including seminal work on fungal proteomics and gliotoxin biology. Dr. Owens serves on professional committees, including Treasurer of the Irish Fungal Society and Member of the Microbiology Society’s Irish Division. Her lab’s recent work explores zinc chelation by gliotoxin, HMO-primed bifidobacteria, and bovine colostrum proteomics.

Venkata Virajit Garbhapuمشاهده پروفایل

پژوهشگر ارشد

• Optical Communications
• Network Optimization
• Artificial Intelligence in Networking
• +۴ مورد دیگر

Venkata Virajit Garbhapu (Viru) is a Research Fellow at the CONNECT Centre, Trinity College Dublin, specializing in optical networks with emphasis on physical layer optimization and cross-layer integration. Education: PhD, Institut Polytechnique de Paris (CIFRE scholar with Huawei) Laura Magistrale, Politecnico Di Milano His research focuses on maximizing network capabilities through physical layer impairment-aware frameworks, demonstrated by 52.8% training time reduction in distributed AI systems using 800G DCI links and superior failure recovery via optical circuit switching. Key contributions include per-channel power allocation algorithms balancing linear/nonlinear impairments and feasible C-band integration of classical/QKD signals through Raman noise-aware wavelength allocation. His work centers on developing sophisticated simulators enabling cross-layer optimization for functionalities like QKD and packet switching. Analysis of his 2019-2025 publications reveals a dominant trend toward AI-driven network automation, with increasing emphasis on digital twins and large language models for lifecycle management, alongside quantum-classical signal coexistence. The research consistently bridges theoretical algorithms with experimental demonstrations, showing progression from transfer learning for failure detection to advanced AI/quantum integration. No scientific awards were mentioned in available sources. His PhD was supported by a CIFRE industrial scholarship with Huawei, and he participated in the European QSNP project. No student advisement details are provided, though his BONSAI research addressed optical network failure management using transfer learning to overcome data scarcity. He operates within the CONNECT Centre ecosystem at Trinity College Dublin while maintaining active collaboration with Huawei Paris Research Center, reflecting strong industry-academia integration in optical communications research.

• Reaction Mechanisms
• Stereoselectivity
• Molecular Machines
• +۷ مورد دیگر

Dr. Kirill Nikitin is a Research Fellow at the School of Chemistry, University College Dublin (UCD), where he has been contributing to interdisciplinary research since June 2005. His work spans organic, supramolecular, and organometallic chemistry with a focus on reaction mechanisms and molecular systems. At UCD, he teaches multiple chemistry courses including 'Organic Chemistry for Chemical Engineers' and 'Equilibrium and Kinetics' for engineering students. Dr. Nikitin's educational background includes: PhD in Chemistry from Lomonosov Moscow State University His research interests focus on reaction mechanisms, stereoselectivity, molecular machines, and dynamics of smart molecular systems. He investigates rotaxanes, pseudorotaxanes, phosphorous compounds, and ferrocene derivatives including organometallic therapeutic agents. His current research emphasizes P-sustainability, green chemistry, and facilitating the circular economy to preserve phosphorus resources through two main approaches: developing commercially viable synthetic methods that minimize use of elemental phosphorus and creating new methods for phosphorus extraction from natural ores and waste streams. Analysis of Dr. Nikitin's recent publications reveals a strong focus on phosphorus chemistry, particularly exploring novel synthetic methodologies involving phosphonium salts and investigating stereochemical dynamics. His work bridges fundamental mechanistic studies with practical applications in green chemistry and sustainable resource management. The publications demonstrate expertise in NMR spectroscopy for elucidating reaction mechanisms and a consistent interest in developing more environmentally friendly chemical processes. Dr. Nikitin has extensive teaching experience at UCD, having redesigned multiple courses and developed new teaching materials. His teaching philosophy emphasizes engagement through real-world examples, revisiting content to combat the forgetting curve, and utilizing practical laboratory demonstrations as essential learning platforms. He has taught courses for chemical engineering students, biomolecules chemistry, instrumental analysis, and principles of scientific inquiry.

Hisain Elshaafiمشاهده پروفایل

مدرس

• ICT Security
• Privacy and Trust
• Service Composition
• +۴ مورد دیگر

Hisain Elshaafi is a Lecturer in the Department of Computing at SETU Carlow. His research focuses on ICT security, privacy, trust, and service composition. He holds a PhD from Waterford Institute of Technology (WIT) and has contributed to EU-funded projects like sTRUST and CoMiFin. His work emphasizes composite service trustworthiness, security metrics, and critical infrastructure protection. Education: PhD: 'Establishment and Maintenance of Trustworthy Composite Services', WIT (2014) MSc: Master of Arts in Teaching and Learning, WIT (2020) BSc: Computer Science (Honours), Dublin Institute of Technology Research Interests: Elshaafi investigates secure service composition, attack surface analysis, smart grid cybersecurity, and trustworthiness metrics. His projects address challenges in distributed systems reliability, multi-tenant service trust, and cost-effective security frameworks. Recent work explores multi-agent smart grid architectures and collaborative trust assessment. Projects & Grants: Lead roles in Irish/EU projects: sTRUST, CoMiFin, Pripare, Aniketos Consultancy for SMEs and enterprises Focus on bridging academic research with industry needs Labs/Teams: Collaborates with WIT's TSSG and contributes to multi-institutional projects focused on trust management and service-oriented systems.