جست‌وجوی استاد و پژوهشگر

Rajesh Nimmagaddaمشاهده پروفایل

پژوهشگر ارشد

• Computational Fluid Dynamics
• Heat Transfer
• Nanofluids
• +۳ مورد دیگر

Rajesh Nimmagadda is a CONNECT Research Fellow at Trinity College Dublin, specializing in computational fluid dynamics (CFD) and thermal management technologies. His work bridges experimental and numerical studies to advance electronics cooling solutions. Education: PhD in Mechanical Engineering from Indian Institute of Technology Hyderabad Research Interests: Rajesh focuses on nanofluid heat transfer in micro-channels, CFD-driven thermal optimization for sustainable aviation, and battery modeling for electric vehicles. His expertise includes advanced cooling systems and multiphysics simulations. Projects & Collaborations: He has led CFD-based projects with Huawei Sweden and Toyota Research Institute of North America, developing heatsinks for electronics cooling. Currently, he works on Research Ireland’s 2050 Challenge project targeting battery thermal management. Grants & Funding: Israeli Nuclear Research Authority Israeli Science Foundation Scientific Contributions: With over 20 publications and an h-index of 13, his research is centered on thermal-fluid systems and sustainable energy technologies. Labs & Teams: Affiliated with the CONNECT Centre at Trinity College Dublin, a hub for telecommunications and networking research.

• Computer Science
• Networking
• Dependable Networks
• +۳ مورد دیگر

Mubashir Husain Rehmani is a Research Fellow at Munster Technological University, specializing in Dependable Networks and Communication Systems. He previously served as an Assistant Professor at COMSATS Institute of Information Technology, Wah Cantt, Pakistan, and holds editorial roles including Area Editor of IEEE Communications Surveys and Tutorials and Associate Editor for multiple journals like IEEE Communications Magazine and Elsevier Journal of Network and Computer Applications . B.Eng. in Computer Systems Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan (2004) M.S. in Computer Science, University of Paris XI, France (2008) PhD in Computer Science, University Pierre and Marie Curie, Paris (2011) His research focuses on Dependable Networks, Network Security, and Distributed Systems, with contributions to communication systems modeling and industrial informatics. He has authored/edited four books and led editorial initiatives in leading journals. Notable scientific awards include: Best Researcher of the Year 2015 (COMSATS Wah) IEEE Communications Society Exemplary Editor Certificate (2015) IEEE CSIM Best Paper Award (2017) Pakistan PCST Research Productivity Award (2016-2017) HEC Best Paper Award (2017)

Anthony Robinsonمشاهده پروفایل

دانشیار

• Thermal Sciences
• Heat Transfer
• Fluid Mechanics
• +۴ مورد دیگر

Anthony Robinson serves as an Associate Professor and CONNECT Funded Investigator within the Department of Mechanical and Manufacturing Engineering at Trinity College Dublin. His research spans experimental and computational thermal sciences, thermodynamics, and applied energy systems with field experience across Ireland, France, Canada, and Africa. His primary research focuses on advanced thermal management solutions including thermal interface materials, single- and two-phase liquid cooling systems, extreme heat flux management, heat pipe technologies, and enhanced convective cooling methods for electronics. This work bridges fundamental heat transfer science with practical engineering applications in high-performance computing and network infrastructure. Robinson has authored over 130 peer-reviewed publications, 70+ technical industry reports, 8 invention disclosures, and 7 patents. As a CONNECT Centre investigator, he leads research teams developing thermal management innovations critical to dependable network systems, with particular emphasis on electronics cooling challenges in next-generation computing environments.

Muhammad Iftikhar Umraniمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Cybersecurity
• Flying Ad-Hoc Networks (FANETs)
• +۳ مورد دیگر

Muhammad Iftikhar Umrani is a CONNECT PhD researcher at South East Technological University (SETU), Ireland, under the supervision of Bernard Butler, with co-supervision by Aisling O’Driscoll and Steven Davy. His research focuses on enhancing UAV operational efficiency and security through Deep Learning-based cybersecurity measures. B.E in Telecommunication (2012), Mehran UET Jamshoro, Pakistan MS in Telecommunication (2017), National University of Science and Technology, Pakistan His research interests span Artificial Intelligence, Cybersecurity, Flying Ad-Hoc Networks (FANETs), UAV Security, Dependable Networks, and Smart Cities. Prior to his PhD, Iftikhar served as a Lecturer in the Department of Computer Science at SZABIST University, Pakistan.

• Constraint Programming
• Network Optimization
• Decision Analytics
• +۱ مورد دیگر

Helmut Simonis is a Senior Research Fellow at the Insight Centre for Data Analytics (affiliated with University College Cork). He has over 30 years of experience in Constraint Programming , having co-developed the CHIP system at ECRC Munich (1986-1990) and served as co-founder/technical director at Cosytec SA (1990-2000). His career includes roles at Imperial College London and startups like Parc Technologies Ltd, with a focus on industrial optimization applications. Key research areas: Constraint Programming, Network Optimization, Decision Analytics He received two Best Application Paper Awards (2009, 2013) at PPoCP conferences and holds four patents in network optimization. Simonis served as President of the Association for Constraint Programming (2012-2013) and has been part of the Cork Constraint Computation Centre (4C) since 2008. Awards : Best Application Paper Award (2009) Best Application Paper Award (2013) Patents : 4 co-invented patents in network optimization

Elias Tragosمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communications
• Internet of Things
• Cognitive Radios
• +۴ مورد دیگر

Elias Tragos is a Research Fellow at the Insight Centre for Data Analytics, affiliated with University College Dublin (UCD), Ireland. His expertise spans wireless and mobile communications, cognitive radios, network architectures, fog computing, and security/privacy domains. PhD in Wireless Communications Master’s in Business Administration (MBA) in Techno-Economics Dr. Tragos has led or participated in numerous EU and national research projects, serving as researcher, Technical Manager, and Project Coordinator. His work has resulted in over 70 peer-reviewed publications with 1500+ citations (h-index 18).

• Machine Learning
• Natural Language Processing
• Network Analysis
• +۳ مورد دیگر

Dr. Derek Greene is an Assistant Professor at the School of Computer Science, University College Dublin, and a Funded Investigator at the Insight Centre for Data Analytics and the VistaMilk Research Centre. His research spans machine learning, natural language processing, and network analysis, with a focus on interdisciplinary applications in cultural analytics, smart agriculture, and political science. Dr. Greene has published over 60 research papers at international conferences and journals. His work includes developing methods for natural language processing , network analysis , and deep learning applied to diverse domains such as literary text mining, dairy industry monitoring, and political communication analysis. He leads projects integrating machine learning into cultural analytics, enhancing agricultural practices, and modeling policy agendas. The articles in his Google Scholar profile highlight a trend toward explainable AI , synthetic data generation , and network-based modeling . Key sub-fields include counterfactual explanations , transformer-based frameworks , temporal analysis of historical texts , and interdisciplinary knowledge transfer . His work bridges machine learning with applications in cultural studies , agriculture , and political science . Dr. Greene collaborates with institutions like the Insight Centre for Data Analytics and the VistaMilk Research Centre , integrating academic research with industry and policy needs. His funded investigator roles reflect ongoing support for applied research in data analytics and agricultural technology.

• Machine Learning
• Deep Learning
• Time Series Data Analysis
• +۵ مورد دیگر

Michael Madden is the Established Professor and Head of the School of Computer Science at the University of Galway. He founded the Machine Learning Research Group in 2001 and focuses on theoretical advances in machine learning applied to medicine, engineering, and physical sciences. His work includes deep learning with virtual data augmentation, dynamic Bayesian networks for ICU monitoring, and probabilistic analytics for time series analysis. Research Areas: Machine Learning, Algorithms, Bayesian Networks, Reinforcement Learning, Time Series Analysis Applications: Healthcare (ICU monitoring, gene expression), Engineering, Physical Sciences Industry Collaborations: Hewlett Packard Enterprise, Valeo, IBM, University Hospital Galway Scientific Awards 9 publication awards

Nyo Thiri Aungمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Reinforcement Learning
• Edge Computing
• +۷ مورد دیگر

Nyo Thiri Aung is a Postdoctoral Researcher at the Insight Centre for Data Analytics, affiliated with the Decision Making RC 6 research group. Her work focuses on interdisciplinary applications of artificial intelligence in vehicular networks, metaverse, and recommender systems. Fields of Interest: Machine Learning, Edge Computing, Metaverse, Blockchain, Vehicular Networks, and Recommender Systems Key Contributions: Pioneering research on deep reinforcement learning for metaverse-edge integration, hybrid recommendation systems in social IoT, and trust management in IoT networks Recent publications highlight her expertise in deploying AI for: Optimizing inference accuracy in distributed environments Developing blockchain-based solutions for vehicular networks Creating personality-aware recommendation systems Advancing 3D medical imaging techniques

Eoghan Cunninghamمشاهده پروفایل

پژوهشگر

• Machine Learning
• Data Science
• Network Analysis
• +۱ مورد دیگر

Eoghan Cunningham is a PostDoctoral Researcher affiliated with the Insight Centre for Data Analytics, specializing in machine learning and data science applications. His current role involves the ParliView project, which aims to enhance parliamentary-public engagement through computational methods. In 2024, he completed his PhD, focusing on machine learning and network analysis of citation networks. Research Interests: Machine learning algorithms Data science for social impact Network analysis in academic contexts Citation network modeling Contact: Email: eoghan.cunningham@insight-centre.org

Ramen Ghoshمشاهده پروفایل

پژوهشگر

• Complex Systems
• Ergodicity
• Control Theory
• +۵ مورد دیگر

Dr. Ramen Ghosh is a Researcher in the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) group at Atlantic Technological University, Sligo, where he has been working with Dr. Marion McAfee since July 2022. His research explores how complex systems behave when randomness, interaction, learning, and control intersect, with special focus on ergodicity principles. His academic background includes: PhD in Electrical Engineering, University College Dublin, Ireland (2018-2023) Master of Technology in Mathematics and Computing, Indian Institute of Technology Patna, India Master of Science in Mathematics, Chennai Mathematical Institute, India Bachelor of Science in Mathematics (Honours), Ramakrishna Mission Vidyamandira Belur Math, University of Calcutta, India Dr. Ghosh's research centers on ergodicity—the concept that a system's long-run behavior becomes independent of its initial state—and how this principle can fail, emerge, or be shaped through control and learning. His work spans nonlinear systems, iterated function systems, dynamic mode decomposition, and applications in power grids, environmental systems, and materials science. He approaches complex system behavior through the intersection of randomness, interaction, learning, and control mechanisms. His publication record shows consistent growth with 1 article in 2022, 4 in 2023, 1 in 2024, and 1 in 2025. His research demonstrates strong interdisciplinary connections between theoretical mathematics and practical applications across environmental science, materials engineering, and control systems. The fingerprint analysis of his work reveals significant contributions to Nonlinearity, Iterated Function Systems, Dynamic Mode Decomposition, and Stable State mathematics. Dr. Ghosh has teaching experience including MATH09010 - Introduction to Mathematical and Computational Modelling at Atlantic Technological University (2022), and multiple offerings of EEEN30150-Modelling and Simulation and EEEN30020-Circuit Theory at University College Dublin (2019-2021). His research activities include presentations on ergodicity, predictability, fairness, and control for societal-scale challenges.

Kevin Meehanمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Ubiquitous Computing
• +۳ مورد دیگر

Dr. Kevin Meehan serves as a Lecturer in Computing at Atlantic Technological University (ATU) in Ireland, holding dual roles as Principal Investigator for both WisarLab and the Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE). His academic foundation includes a BSc Hons and PhD in Computer Science from Ulster University, complemented by an MA in Learning & Teaching and a PGCE in Further and Higher Education. His research spans Computer Vision , Machine Learning , and Ubiquitous Computing , with significant contributions in trajectory prediction, immune response modeling, and environmental monitoring systems. Recent publications demonstrate expertise in BiLSTM networks, graph neural networks, and DenseNet applications for real-world problem solving. Notable professional recognition includes Fellowship in the Higher Education Academy. His work aligns with UN Sustainable Development Goals through technological solutions for health and environmental challenges. As an educator, he teaches Machine Learning, Computer Vision, and Data Science while leading industry collaborations with over 45 SMEs. His research has secured €400,000+ in funding for knowledge transfer projects, demonstrating strong industry-academia linkage.

Saritha Unnikrishnanمشاهده پروفایل

مدرس

• Computer Vision
• Artificial Intelligence
• Medical Imaging
• +۵ مورد دیگر

Dr. Saritha Unnikrishnan serves as a Lecturer in Computing and Principal Investigator in AI-driven Computer Vision at Atlantic Technological University (ATU) Sligo, Ireland. She maintains multiple research affiliations across the institution, including the Health and Biomedical Research Centre (HEAL) , the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) , and the Precision Engineering Materials and Manufacturing Research Centre (PEM Research Centre) . Dr. Unnikrishnan's research spans computer vision , medical imaging , and artificial intelligence applications with significant focus on healthcare and industrial quality assessment. Her work demonstrates strong interdisciplinary connections between computer science, biomedical engineering, and pharmaceutical sciences, particularly in the areas of micrograph analysis , brain tumor characterization , and AI-driven diagnostic solutions . Analysis of her recent publications reveals a clear trajectory toward applying AI techniques to solve complex problems in medical imaging and industrial applications. Her work increasingly focuses on deep learning approaches for image analysis, with notable contributions in glioma characterization , emulsion stability assessment , and educational technology solutions . Ireland's National AI Challenge 2024 award recipient Dr. Unnikrishnan has demonstrated exceptional grant acquisition capabilities, securing over €2 million in research funding to lead multiple national and EU projects. She has led major enterprise-funded AI research initiatives, including an AI-enabled computer vision solution licensed to GSK . Her collaborative work extends to European COST Actions and cross-border AI initiatives, highlighting her significant impact in the European research landscape. As Principal Investigator across multiple research centers at ATU Sligo, Dr. Unnikrishnan directs work in the Health and Biomedical Research Centre, the Mathematical Modelling and Intelligent Systems for Health and Environment initiative, and the Precision Engineering Materials and Manufacturing Research Centre, where she bridges computer science with practical healthcare and industrial applications.

• Medical Imaging
• Educational Technology
• Affective Computing
• +۵ مورد دیگر

JIA Xibin serves as a full Professor and doctoral/master's thesis supervisor at Beijing University of Technology's Faculty of Information Technology and Dublin International College. She holds editorial responsibilities for the TIIS journal and maintains active memberships in the China Computer Federation (CCF) and China Society of Image and Graphics (CSIG), including specialized committees for Machine Vision and Big Video Data. Her educational foundation spans a B.S. in Wireless Technology from Chongqing University (1991), M.S. in Measuring and Testing Technology from North University of China (1996), and Ph.D. in Computer Application Technology from Beijing University of Technology (2007). International experience includes visiting scholar positions at University of California Riverside (2015) and Flinders University (2009). Research focuses on intelligent medical imaging for liver disease diagnosis, affective computing in educational contexts, and cognitive behavior modeling through multimodal fusion techniques. Her methodology integrates representation learning with transfer and few-shot learning paradigms to address data scarcity in medical applications. Current publications demonstrate consistent focus on domain adaptation and medical image analysis , with significant contributions to multimodal MRI interpretation for non-alcoholic fatty liver disease and hepatocellular carcinoma. Her work bridges theoretical machine learning with clinical applications through deep neural network architectures. Active research leadership includes principal investigator roles for: National Natural Science Foundation grant on non-invasive liver disease assessment (2019-2022) Beijing Natural Science Foundation project on campus safety risk prediction (2020-2022) These projects emphasize big data analytics for healthcare and educational safety systems, reflecting her dual expertise in technical innovation and practical implementation.

• Predictive modeling for solid dosage pharmaceutical processes
• Biopharmaceutical Engineering
• Pharmaceutical Applications and Product Design
• +۷ مورد دیگر

Sandra Lenihan is a Lecturer in Chemical and Biopharmaceutical Engineering at Munster Technological University (MTU), where she has been faculty since 2009. She leads the Process innovation Engineering Research Group (PiERG) and serves as a Principal Investigator with the Pharmaceutical Manufacturing Technology Centre (PMTC) hosted at University of Limerick. Dr. Lenihan has established herself as a key researcher in pharmaceutical process engineering with strong industry connections. Her research focuses on developing predictive modeling for solid dosage pharmaceutical processes, particularly powder modeling for tablet processing and continuous manufacturing. She specializes in computational approaches using tools like Dynochem and finite element analysis to model unit operations including mixing, bioreactors, and filtration. Her work bridges academic research with industrial applications, resulting in numerous collaborations with pharmaceutical companies. Pharma Awards, Partnership Alliance WINNER (2018) Bridge Network Nomination for Invention of the Year (2018) Pharma Awards, 2nd Place: Education and Training Category (2020) Educational Awards, Best Student Experience Category Finalist (2020) Educational Awards, Career Impact Category Finalist (2020) Pharma Awards, Education and Training Category Finalist (2017) Dr. Lenihan supervises Capstone Final Engineering Research and Design Projects and has been instrumental in developing industry-academic partnerships. She previously served as Placement Manager for the Chemical Engineering Programme (2012-2020) and has secured significant funding through Springboard programs and Enterprise Ireland projects. Her teaching includes Process Engineering, Biopharmaceutical Engineering, and Pharmaceutical Applications, where she integrates practical industry experience with academic theory. She leads the PiERG research group, which provides solutions to the Pharma Engineering sector through expertise in predictive modeling and industrial pharma processing. Her current research includes an Enterprise Ireland IPP project in Tabletting and Coating (2022-2024) involving two postdocs working with Dr. Alexander Krok.