جستجوی استاد راهنمای دانشگاهی

• Hardware Design
• VLSI Systems
• Digital Circuit Optimization
• +۴ مورد دیگر

Rajkumar Sarma is a Research Fellow at the Department of Computer Science & Information Systems at Lero – the Research Ireland Centre for Software, University of Limerick. His work focuses on hardware design, VLSI systems, and optimization techniques for digital circuits. He specializes in areas such as low-power architectures, floating-point arithmetic, and evolutionary algorithms for automated design. His research emphasizes hardware-software co-design, reliability analysis under PVT (Process, Voltage, Temperature) variations, and efficient implementations of multiply-accumulate (MAC) units critical to digital signal processing and image processing applications. Key technical contributions include the development of the UCM algorithm for delay optimization, grammatical evolution for synthesizable HDL code generation, and novel approaches to reduce power consumption in MAC architectures. His work bridges theoretical algorithmic innovation with practical VLSI implementation challenges, addressing both performance and reliability under extreme operating conditions. Rajkumar’s publications span 2012–2025, with a strong focus on digital circuit design, including hybrid adders, low-power flip-flop implementations, and quantum gate-based reversible circuits. His research also extends to reliability analysis of electronic components like multi-layer ceramic capacitors. He has utilized advanced simulation tools such as Cadence ADE-XL for accelerated PVT analysis, demonstrating expertise in both computational modeling and hardware validation. While no specific awards or grants are listed, his extensive publication record reflects sustained engagement with cutting-edge challenges in computer architecture and VLSI systems design.

• Algebraic Geometry
• Combinatorics
• Tropical Geometry
• +۳ مورد دیگر

Marvin Anas Hahn serves as an Assistant Professor in the School of Mathematics at Trinity College Dublin, Ireland, with his office located at Trinity College, Dublin 2. His research bridges pure mathematics and applied fields through rigorous exploration of algebraic structures and combinatorial methods. Hahn's primary research focuses on the deep interplay between algebraic geometry and combinatorics, particularly in Hurwitz theory where he investigates piecewise polynomiality of curve enumeration, tropical realizations of moduli spaces, and combinatorial structures of double Hurwitz numbers. His work extends to tropical geometry applications in enumerative problems and has significant interdisciplinary reach into computer vision (rolling shutter camera models) and coding theory (rank-metric codes with valuation structures). The mathematical sophistication of his research manifests in connections to topological recursion, quantum curves, and non-archimedean geometry. Analysis of his 15 most recent publications reveals a cohesive trajectory where combinatorial frameworks solve geometric problems across diverse contexts—from toric surfaces and elliptic curves to camera geometry and coding theory. His articles demonstrate consistent innovation in applying tropical methods to classical algebraic geometry problems while expanding into computational domains, establishing him at the nexus of pure mathematics and practical applications. No scientific awards are documented in the available information. Hahn's academic advising activities and research funding sources remain unspecified in the provided materials, though his publication record suggests active supervision of graduate researchers in mathematical sciences.

Erivelton Nepomucenoمشاهده پروفایل

دانشیار

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +۶ مورد دیگر

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

James Garlandمشاهده پروفایل

مدرس

• Machine Learning
• Embedded Systems
• FPGA/ASIC Design
• +۴ مورد دیگر

Dr. James Garland is a Lecturer in the Department of Electronic Engineering and Communications at South-East Technological University (SETU), part of the engCORE academic unit. He holds a PhD in Computer Science from Trinity College Dublin (2022). His research focuses on micro-architectural implementations of deep learning algorithms in FPGA/ASIC/embedded systems, with applications in robotics and aerospace engineering. Key areas include defect detection via unmanned aircraft systems, image classification, and GAN-based enhancement for license plate recognition. Education: PhD in Computer Science (Trinity College Dublin, 2022). Research interests span machine learning optimization, embedded systems design, and aerospace robotics. His work emphasizes low-complexity hardware solutions for high-performance computing and energy efficiency. Recent articles explore topics like super-resolution GANs, zero-shot learning in pre-trained models, and spatial mapping for aircraft defect localization. He actively contributes to peer-reviewed journals, including Journal of Universal Computer Science and IEEE Access . Media coverage includes collaborations with the Irish Department of Aerospace and Mechanical Engineering. Teaching responsibilities include courses on artificial intelligence, control systems, and avionics fundamentals.

• Discrete Mathematics
• Number Theory
• Algebraic Geometry
• +۱۰ مورد دیگر

Professor Gary McGuire is a Full Professor in the School of Mathematics and Statistics at University College Dublin (UCD), specializing in discrete mathematics, number theory, algebraic geometry, and cryptography. He holds a PhD from the California Institute of Technology and has been a central figure in advancing research in finite fields and their applications. BSc, University College Dublin MSc, University College Dublin PhD, California Institute of Technology His research focuses on algebraic structures over finite fields, including Galois theory, permutation polynomials, error-correcting codes, and quantum codes. He has made significant contributions to the understanding of supersingular curves, L-polynomials, and lattice-based cryptanalysis. His work spans theoretical advances and practical applications in cryptography and computational mathematics. The recent publications reflect a strong trend in algebraic and computational number theory, with emphasis on Galois groups of linearized polynomials, quantum code construction, and discrete logarithm algorithms. His work often involves deep connections between algebraic geometry and coding theory, particularly in the construction of MDS and quantum codes from generalized monomial-Cartesian and algebraic geometry codes. Notable scientific awards and recognitions include: Best Paper Award at CRYPTO 2013 Invited Speaker at the 12th International Conference on Finite Fields (2015) Invited Speaker at the 25th British Combinatorial Conference (2015) Invited Session Speaker at the AAAS Annual Meeting (2014) Speaker at multiple international workshops on finite fields, cryptography, and polynomials Professor McGuire actively supervises PhD students and has coordinated key modules such as Galois Theory, Cryptography, and Numbers & Functions. He has secured research grants, including one on the simulation of photo-electronic excitation in nanofilms. His most famous contribution is the proof that no 16-clue Sudoku puzzle exists, achieved through a novel hitting set enumeration algorithm. He is a principal investigator in computational and theoretical mathematics with ongoing collaborations across Europe. He is a member of research teams focused on finite field applications, cryptographic protocols, and algebraic coding theory. His lab-like collaborative environment involves work with postdocs and researchers on projects related to discrete logarithm computation, polynomial factorization, and quantum code design.

Ian Groutمشاهده پروفایل

دانشیار

• Mixed-Signal Integrated Circuit Design
• Test Technology Education
• Mechatronics
• +۵ مورد دیگر

Ian Grout serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, and is affiliated with the Optical Fibre Sensors Research Centre. His academic career spans over 25 years with continuous research output since 1994, focusing on hardware design and engineering education methodologies. His educational background includes: Ph.D. in Electronic Engineering from Lancaster University (awarded 1994) B.Eng. in Electronic Engineering from Lancaster University (awarded 1991) Dr. Grout's research integrates Mixed-Signal Integrated Circuit Design, Test Technology Education, and Sensor System Design using FPGAs with innovative educational approaches. His work bridges theoretical hardware development and practical implementation, particularly in remote laboratory experimentation and mechatronics systems. The fingerprint analysis of his 152 publications reveals dominant expertise in Field Programmable Gate Arrays (100%), Computer Hardware (61%), and Application Specific Integrated Circuit design (61%), with significant contributions to Teaching and Learning methodologies (56%). Recent publications (2023-2024) demonstrate a clear trajectory toward optimizing hardware testability for emerging architectures like processing-in-memory cores while advancing educational tools for embedded systems programming. His work shows increasing integration of machine learning concepts with traditional circuit design and a sustained focus on practical educational implementations through European collaborations like the Erasmus+ DIG-SENSING program. Professional engagements include active membership in the Institution of Engineering and Technology (IET), International Microelectronics and Packaging Society (IMAPS), and service on the UK EPSRC Peer Review College. He previously chaired the Educational ECAD User Group (EEUG) from 2001-2002 and maintained committee membership until 2005. At the University of Limerick, Dr. Grout contributes to the Optical Fibre Sensors Research Centre where his FPGA-based sensor system designs support advancements in optical sensing technologies. His current work involves developing remote laboratory frameworks for electrical engineering education while maintaining active research in integrated circuit test methodologies.

Stephen Coughlanمشاهده پروفایل

مدرس

• Algebraic Geometry
• Mathematics
• Geometry
• +۳ مورد دیگر

Dr Stephen Coughlan is a Lecturer in the Department of Mathematics & Computer Studies at Mary Immaculate College. He holds a PhD in Mathematics from the University of Warwick and a Priv.-Doz. (Senior Lecturer) qualification from Universität Bayreuth. His research focuses on algebraic geometry, particularly surfaces of general type, moduli spaces, and geometric constructions such as Fano varieties and K3 surfaces. Dr Coughlan's academic background includes a BSc, MSc, and PhD from the University of Warwick, followed by advanced research at the University of Bayreuth. His work emphasizes geometric structures, deformations, and fibrations in algebraic varieties. Recent publications explore topics like Gorenstein curves, T-divisors in moduli spaces, and cluster varieties. His research interests span codimension studies, algebraic surfaces, and geometric transitions, with contributions to understanding canonical 3-folds and smoothing singularities. He has collaborated internationally on projects involving moduli theory and arithmetic geometry. Though no specific grants or awards are listed, his extensive publication record reflects active engagement in algebraic geometry research. Dr Coughlan is affiliated with Mary Immaculate College's Mathematics & Computer Studies department and contributes to teaching and research in pure mathematics.

• Supply Chain Management
• Operations Research
• Engineering Education
• +۷ مورد دیگر

Dr. Vincent Hargaden is an Associate Professor and Head of School at the School of Mechanical and Materials Engineering, University College Dublin. He holds a PhD in Decision Science from Rensselaer Polytechnic Institute and has over two decades of academic and industry experience. His research focuses on three core areas: Workforce Planning in professional services, Design and Optimization of resilient supply chains, and innovations in Engineering Education. He leads the UCD Master of Engineering Management program and has received multiple teaching awards including the 2017 University Teaching Excellence Award. Education: BE (Mechanical Engineering), University College Dublin MEngSc (Computer Integrated Manufacturing), NUI Galway MBA, UCD Michael Smurfit Graduate Business School PhD (Decision Science), Rensselaer Polytechnic Institute Professional Diploma in University Teaching & Learning, UCD Research Interests: Supply Chain Resilience & Risk Assessment Blockchain Applications in Construction & Engineering Digital Twin Technologies for Manufacturing Industry 4.0 Integration in Agri-Food Sectors Active Learning Pedagogies in Engineering Education Notable Achievements: Co-Principal Investigator in Enterprise Ireland Dairy Processing Technology Centre H2020 VALUMICS Project (Food Value Chain Dynamics) IBM Global PhD Fellowship (2010) UCD Learning Factory Initiative Participation

Michel Schellekensمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analytics
• Algorithmics
• +۲ مورد دیگر

Michel Schellekens is Professor at University College Cork's School of Computer Science and Information Technology, specializing in Artificial Intelligence, Data Analytics, and Algorithmics. His research develops mathematical frameworks for complexity analysis, including quasi-metric spaces and entropy-based approaches for algorithm evaluation. Recent work focuses on low-power computing designs, reversible computing principles, and static analysis methods for energy-efficient software and hardware systems. He maintains collaborations through the Complex and Adaptive Systems Laboratory (CASL).

• Number Theory
• Étale Cohomology
• Galois Representations
• +۲ مورد دیگر

Prof. Nicolas Mascot Ussher is an Assistant Professor in the School of Mathematics at Trinity College Dublin. His research focuses on explicit methods for Galois representations, étale cohomology, and related areas of number theory. He holds an office in Room 1.9 of the School of Mathematics building. Research Profile: https://people.tcd.ie/mascotn Personal Website: https://www.maths.tcd.ie/~mascotn His work bridges computational number theory and algebraic geometry, emphasizing practical implementations of abstract mathematical concepts. No specific awards or grants are detailed in the provided information.

• Nanoscale CMOS architectures and circuits
• Frequency synthesizers
• Transmitters and receivers
• +۳ مورد دیگر

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.

Bernd Kreusslerمشاهده پروفایل

مدرس ارشد

• Algebraic Geometry
• Mathematical Physics
• Differential Geometry
• +۳ مورد دیگر

Dr. Bernd Kreussler is a Senior Lecturer and Head of the Department of Mathematics & Computer Studies at Mary Immaculate College (MIC), Limerick, Ireland. He holds a Diplom Mathematiker (Dipl. Math) and Dr. rer. nat from Humboldt University Berlin, and a Dr. rer. nat habilitation from the University of Kaiserslautern. His research focuses on algebraic geometry, twistor spaces, mirror symmetry, and derived categories in mathematical physics. Dr. Kreussler has supervised multiple postgraduate researchers, including Arne Rüffer (PhD, 2021), Lisa Kierans (MA, 2010), and Ciara Daly (MA, 2007). His work spans theoretical contributions to vector bundles, Yang-Baxter equations, and geometric structures, with publications in journals like Compositio Mathematica and Journal of the London Mathematical Society . His academic career includes roles at the University of Kaiserslautern, where he advised Dipl.-Math. students Bijan Afshordel and Sergey Mozgovoy. His research interests bridge pure mathematics and theoretical physics, emphasizing geometric and categorical methods. Dr. Kreussler maintains an active presence in the academic community, contributing to conferences and interdisciplinary collaborations.