Find Academic Supervisors

• Composite Structures
• Pressure Vessel Design
• Variable-Stiffness Composites
• +7 more

Shahrzad Daghighi is an Assistant Professor in the School of Engineering at the University of Limerick, where she conducts advanced research in composite structures and pressure vessel design. Her work bridges mechanical and aerospace engineering with a focus on innovative composite materials and structural optimization techniques. Research Interests: Her research centers on Composite Structures , Variable-Stiffness Composites , and Pressure Vessel Design for hydrogen storage and aerospace applications. She employs advanced design methods, including topology optimization, isogeometric analysis, and free-form design, to enhance structural performance under thermomechanical loading. Her work is highly interdisciplinary, intersecting materials science, energy systems, and computational mechanics. Publication Trends: Over the past five years, Dr. Daghighi has consistently published in high-impact journals such as AIAA Journal and Composite Structures , focusing on variable-angle-tow composites, bend-free pressure vessels, and thermomechanical analysis. Her research demonstrates a clear trajectory toward lightweight, high-performance composite systems for sustainable energy and aerospace applications. Scientific Recognition: Advising and Grants: While no formal students or grant details are listed, her collaborative research with prominent scholars like P.M. Weaver and G. Zucco suggests active participation in funded research projects and academic supervision. Her work likely involves graduate student mentorship and national or EU-level research funding, particularly in advanced materials and clean energy technologies. Labs and Research Teams: Dr. Daghighi is part of a dynamic research network in composite materials at the University of Limerick, likely affiliated with advanced manufacturing or aerospace research labs. Her collaborations indicate integration within a high-performance research group focused on next-generation composite structures and sustainable engineering solutions.

• Aberration-Corrected Electron Microscopy
• Atomic-Resolution Imaging
• Nanomaterials Characterization
• +4 more

Dr. Lewys Jones is an Associate Professor in the Department of Physics at Trinity College Dublin . His research focuses on advancing Scanning Transmission Electron Microscopy (STEM) techniques for atomic-scale materials characterization, particularly in low-dose imaging, detector optimization, and 3D tomography. Key Research Areas: Aberration-Corrected Microscopy, Atomic-Resolution Imaging, Nanomaterials Analysis, and Machine Learning for Image Enhancement Instrumentation Expertise: Detector Calibration, Probe Drift Compensation, Low-Voltage Imaging, and Digital Pulse Read-Out Systems His work has resulted in multiple peer-reviewed publications (2013-2024) with a focus on electron microscopy innovations and nanostructured materials . Notable scientific awards include the Royal Society & SFI University Research Fellowship (2019) and the International Federation of Societies for Microscopy 'Young Scientist Award' (2014). He has contributed to open-access resources and educational tools for STEM data analysis, including the 'Smart Align' software.

• Nanoscale CMOS architectures and circuits
• Frequency synthesizers
• Transmitters and receivers
• +3 more

Prof. Robert Staszewski is a Full Professor at the School of Electrical and Electronic Engineering, University College Dublin (since 2014) and a Visiting Full Professor at Delft University of Technology (since 2009). His academic journey began with a PhD from University of Texas at Dallas (2002), preceded by MSEE (1992) and BSEE (1991) degrees. He previously worked at Alcatel (1991–1995) and Texas Instruments (1995–2009), where he co-founded the Digital RF Processor (DRP) group and served as CTO (2007–2009). Research Focus : Nanoscale CMOS architectures, quantum computing hardware, millimeter-wave PLLs, and low-power IoT RF circuits. Recent Publications : 15 most recent works span quantum dots in 22nm FDSOI, harmonic predistortion in ADPLLs, ultra-low-jitter charge-sharing PLLs, and RF reuse strategies for IoT. Scientific Contributions include 6 books, 11 book chapters, 150+ journal papers, and 210 US patents. His Equal1 Labs co-founded in 2014 aims to build the first single-chip CMOS quantum computer. Awards: 2012 IEEE Circuits and Systems Industrial Pioneer Award IEEE Fellow (2009) Teaching Leadership : Coordinates advanced modules in Analogue Integrated Circuits , Mixed-Signal Circuits , and Quantum Computing (2014–2025). Supervises PhD thesis projects in nanoscale RF and quantum systems.

Stefan WeberView profile

Professor

• Distributed Systems
• Internet of Things
• Communication Protocols
• +7 more

Stefan Weber is a Professor at the Trinity College Dublin , affiliated with the School of Computer Science & Statistics . His research spans Information-Centric Networking (ICN) , Security & Botnets , and Mobile Ad hoc Networks (MANETs) , with a focus on optimizing communication in dynamic environments. Exploiting ICN for data-centric infrastructure Security challenges in distributed systems Protocol design for mobility and disconnection His recent publications address topics in networking , security , and IoT , though some interdisciplinary works touch on epidemiology and genetics . While no formal awards are listed, his collaborations include the EU FP7 N4C Project . Stefan has supervised students including Andriana Ioannou (caching in ICN), Amber Higgins (container-based honeypots), and Joseph O'Hara (network telescopes), among others.

• Heat Transfer and Fluid Flow
• Computational Fluid Dynamics
• Machine Learning
• +5 more

Dr. Shahid Husain serves as a Research Fellow at the University of Limerick's Department of Mathematics and Statistics under a prestigious Marie Skłodowska-Curie postdoctoral fellowship (2022-2024), supervised by Professor Michael Vynnycky. Previously, he held an Assistant Professor position in Mechanical Engineering at Aligarh Muslim University since August 2016. Education: PhD in Mechanical Engineering, Aligarh Muslim University (awarded March 7, 2018) Husain's research integrates Computational Fluid Dynamics with Machine Learning to solve complex thermal-fluid problems, specializing in nanofluid heat transfer, natural convection systems, and renewable energy applications. His work on multiphase flow modeling directly addresses UN Sustainable Development Goals through innovations in solar energy systems and pharmaceutical delivery mechanisms. Recent projects include developing ML-based models for microalgal bioreactors and aerosol transport in human airways. His 2022-2024 publications reveal a strategic shift toward interdisciplinary applications, combining CFD with machine learning for biomedical and sustainable energy solutions. Key trends include nanofluid optimization in solar walls, phase change material integration, and DEM-ML hybrid modeling for particle transport - demonstrating growing emphasis on practical engineering implementations. Scientific Awards: Marie Skłodowska-Curie postdoctoral fellowship (2022) EuroTechPostdoc2 Marie-Curie Cofund fellowship (2022) [declined] University Medal for First position in masters Erasmus Mundus Scholarship [declined] Maulana Azad National Fellowship Husain's primary research funding comes from his €195,000 Marie Curie fellowship supporting the 'Development of a Novel Machine Learning-based model for Multiphase flows' project. Though no formal advisees are listed, his 39 publications (including 22 in 2022-2024) reflect extensive collaboration across 15+ international institutions, with significant co-authorship from Eindhoven University of Technology and Aligarh Muslim University researchers. He operates within Professor Vynnycky's computational modeling group at UL, leveraging high-performance computing resources for fluid dynamics simulations. His current work bridges mechanical engineering and data science, with emerging collaborations in biomedical engineering for respiratory drug delivery systems and sustainable energy applications through UL's Sustainable Energy Research Group.

Lubna Luxmi DhiraniView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +7 more

Lubna Luxmi Dhirani is an Associate Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. Her research focuses on cybersecurity, IoT, machine learning, and smart manufacturing systems. Her work spans diverse areas including: Cybersecurity for connected and autonomous vehicles AI-driven anomaly detection in healthcare-IoT devices Quantum security applications in industrial systems Risk mitigation in cloud computing and IoT supply chains Cyber policy analysis and ethical considerations Recent publications highlight her expertise in: 5G and IoT security frameworks Digital twinning for manufacturing Cloud computing economics and quality assurance

Shubham VishnoiView profile

Researcher

• Physics-based Molecular Simulations
• Computational Protein Design
• GPCR Modelling
• +4 more

Dr. Shubham Vishnoi is a Postdoctoral Researcher at the University of Limerick within the Faculty of Science and Engineering, Department of Physics . He completed his PhD in Physics in 2023 under the supervision of Professor Damien Thompson, funded through the Science Foundation Ireland SSPC research center for Pharmaceuticals. He holds advanced degrees in Pharmaceutical Sciences from NIPER Mohali, India (M.S. 2019) and first-class honours in B.Pharm (2017). Research Expertise: Specializing in physics-based molecular simulations and computational protein design , his work focuses on G protein-coupled receptor (GPCR) modeling and atom-scale simulation techniques. He combines machine learning with high-throughput data analysis to solve critical challenges in biopharmaceutical formulation design , particularly for peptide-based therapeutics . 2021 SSPC Industrial PhD Placement Award Three-time winner of President's Volunteer Award (2020, 2021, and special recognition for COVID-19 Volunteering ) Industry Experience: Completed impactful placement at APC Ltd, Dublin (2021-2022) developing machine learning tools for drug solubility analysis and high-throughput screening visualization systems. Collaborated with Upstream Bioprocessing teams on digital transformation initiatives in pharmaceutical R&D.

• Photonics Integrated Circuits (PICs)
• High Speed Photonic Devices
• Physics of Optical Waveguides
• +5 more

Frank Peters is a Professor in the Physics Department at University College Cork (UCC), Ireland, and leads the Integrated Photonic Group at the Tyndall National Institute. Previously, he worked in California at companies like Agilent Technologies and Infinera, contributing to the development of photonic integrated circuits (PICs). He joined UCC in 2005 and has since focused on high-speed and integrated photonic devices. He directed the Strategic Research Cluster: PiFAS (2007–2013) and currently leads the Irish Photonic Integration Centre (I-PIC) and CTVR2 photonics strand. His research interests include photonic integrated circuits, semiconductor lasers, computational modeling, and optical communication systems. Peters has developed software tools for photonic circuit design, such as the commercial package 'Vertical,' and his group works on finite element simulations, beam propagation codes, and optimization tools for PIC components. His recent work spans topics like monolithic integration of lasers, high-speed photodetectors, and advanced modulation schemes. Peters' contributions have been published in journals such as Optics Express, Journal of Lightwave Technology, and IEEE Photonics Technology Letters. He collaborates with industry and academia to advance photonic technologies for telecommunications and datacom applications.

• Black Hole Formation
• Early Universe Cosmology
• Gravitational Physics
• +3 more

John Regan is a Research Fellow and Postgraduate Coordinator in the Department of Theoretical Physics at Maynooth University, affiliated with the Hamilton Institute. His research focuses on modeling black hole formation in the early Universe using supercomputers to understand their evolution over cosmic time. A Royal Society-SFI University Research Fellow, his work bridges astrophysics and cosmology through computational approaches. Education details are not explicitly mentioned in the provided texts. His research interests revolve around the interplay between black hole simplicity (defined by mass and spin) and the complex challenges of determining their origins. No grants or awards beyond his fellowship are specified, and there is no mention of laboratory affiliations or team details.

Maria Chiara LevaView profile

Senior Lecturer

• Human Factors
• Human Reliability Analysis
• Human Machine Interface Design
• +2 more

Dr Maria Chiara Leva serves as a Senior Lecturer within the Faculty of Sciences and Health at Technological University Dublin (TU Dublin), specifically in the Department of Food Science & Environmental Health. She concurrently holds a visiting lecturer position for Risk Assessment and Safety Management in Trinity College Dublin's School of Engineering, while maintaining associated Principal Investigator roles at TU Dublin's Science and Technology in Advanced Manufacturing research centre and Trinity's Centre for Innovative Human Systems. Her research program centers on Human Factors, Human Reliability Analysis, Human Machine Interface Design, Safety Management Systems, and Safety Culture, with over 60 publications spanning operational risk assessment and safety engineering applications. Dr Leva's work demonstrates consistent evolution from foundational human reliability modeling toward integrated safety management frameworks, with recent publications emphasizing real-time workload monitoring, risk intelligence systems, and cross-industry applications in manufacturing and process safety. Her research bridges theoretical human factors principles with practical implementation in high-risk operational environments. Dr Leva leads significant industry-academic initiatives including the spin-out company 'Tosca Human Factors Solutions', which originated from an EU project she directed as Principal Investigator. Her leadership extends to professional societies where she co-chairs the European Safety and Reliability Association's Human Factors technical committee and previously chaired the Irish Ergonomics Society. She also co-founded the annual Symposium on Human Mental Workload, now in its third iteration. Scientific Awards Female Founder Competitive Start Fund (National Digital Research Centre and Enterprise Ireland, 2016) Dr Leva has secured substantial research funding through EU projects and national grants, establishing her campus company as a conduit for translating academic research into industry solutions. Her advisory role in Tosca Human Factors Solutions demonstrates successful commercialization of academic expertise, while her ongoing research collaborations with manufacturing and process safety sectors highlight practical impact. She actively mentors through her academic positions and symposium organization, fostering next-generation researchers in human factors engineering. Her work operates within the interdisciplinary ecosystem of TU Dublin's Food Science & Environmental Health department and Trinity's engineering research centres, focusing on human-system integration challenges across food safety, industrial manufacturing, and critical infrastructure sectors.

Teerachot SiriburanonView profile

Assistant Professor

• CMOS wireless transceiver systems
• clock/frequency generation
• millimeter-wave circuits
• +3 more

Dr. Teerachot Siriburanon is an Assistant Professor in the School of Electrical and Electronic Engineering at University College Dublin (UCD), Ireland. He joined UCD as a Post-Doctoral Researcher in 2016 under the prestigious Marie Skłodowska-Curie Individual Fellowship Program and was promoted to Assistant Professor in 2019. His educational background includes: B.E. degree in Telecommunications Engineering from Sirindhorn International Institute of Technology (SIIT), Thailand, 2010 M.E. and Ph.D. degrees from Tokyo Institute of Technology, Japan, 2012 and 2016 respectively Dr. Siriburanon's research focuses on CMOS wireless transceiver systems and clock/frequency generation for both wireless and wireline communication applications. His work spans millimeter-wave circuit design, phase-locked loops, low-noise amplifiers, and quantum computing circuitry. He has made significant contributions to the field of ultra-low jitter frequency synthesis and has developed innovative techniques for flicker phase noise reduction in oscillators. His research demonstrates expertise in advanced CMOS technologies including 22-nm FD-SOI and 28-nm processes. His recent publications reveal a strong trend toward addressing critical challenges in 5G/6G communications, quantum computing hardware, and high-precision frequency synthesis. The research spans both theoretical modeling and practical circuit implementations, with particular emphasis on optimizing performance metrics such as phase noise, jitter, and power efficiency in high-frequency applications. Dr. Siriburanon has received numerous prestigious awards including: Marie Skłodowska-Curie Individual Fellowship (2017) Science Foundation Ireland (SFI) Frontiers for the Future Project (2021) IEEE Solid-State Circuits Outstanding Reviewer (2024) IEEE CASS Best Reviewer for TCAS-I (2022) Multiple best paper awards at international conferences As an educator and research leader, Dr. Siriburanon serves as a thesis supervisor for PhD students and coordinates courses in Circuit Theory and Electronic Circuits. He currently leads active research projects including 'Massive Array of mm-Wave Transmitters with Digital Pencil Beam Steering for 5G Communications and Radars' and 'Smart RFDAC with AI-Assisted Calibration'. His service to the academic community includes membership on the Technical Program Committees of the IEEE Radio Frequency Integrated Circuits Symposium (RFIC) and the IEEE International Solid-State Circuits Conference (ISSCC), as well as editorial roles for IEEE Transactions on Circuit and Systems.

Anthony RobinsonView profile

Associate Professor

• Thermal Sciences
• Heat Transfer
• Fluid Mechanics
• +4 more

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.