جستجوی استاد راهنمای دانشگاهی

• Poisson Geometry and Symplectic Geometry
• Integral Systems
• Lie Algebroids and Lie Groupoids
• +۱ مورد دیگر

Petalidou Fani serves as Assistant Professor in the Department of Mathematics at the Faculty of Sciences, Aristotle University of Thessaloniki since July 2015, following her appointment as Lecturer at the same institution from 2012-2015. Her academic career includes significant international experience as Postdoctoral Researcher at Institut de Mathématiques de Jussieu (1998-2000) and Centro de Matemática de Universidade de Coimbra (2000-2001), along with teaching positions at University of Peloponnese, University of Cyprus, and University of Macedonia. Her educational qualifications include: Ph.D. in Mathematics from Institut de Mathématiques de Jussieu, Université Pierre et Marie Curie – Paris VI (1998) M.Sc. in Mathematics from Université Paris Sud, Orsay (1992) B.Sc. in Mathematics from Aristotle University of Thessaloniki (1988) Dr. Petalidou specializes in advanced geometric structures with applications in mathematical physics, focusing on Poisson and Symplectic Geometry, Integral Systems, Lie Algebroids/Groupoids, and Courant Algebroids/Dirac Structures. Her research explores the differential geometric foundations of mechanical systems and integrability, particularly through bihamiltonian structures and twisted geometries. She employs sophisticated techniques from global analysis and Lie theory to investigate quantization problems and structural properties of non-standard geometric manifolds. Her publication record (2000-2012) reveals a consistent trajectory in geometric mathematical physics, with increasing sophistication in handling twisted structures and integration problems. The works demonstrate progressive deepening from symplectization of bihamiltonian systems to Casimir-preserving Poisson brackets, reflecting evolving expertise in manipulating complex geometric constraints while maintaining physical relevance for mechanical systems.

• Differential Geometry
• Representation Theory
• Mathematical Physics
• +۳ مورد دیگر

Batakidis Panagiotis is an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Greece, where he has been serving since June 2019. His academic work focuses on the intersection of differential geometry, representation theory, and mathematical physics, contributing significantly to areas such as Poisson geometry, Lie theory, and deformation quantization. His educational background includes: PhD in Mathematics from Universite Paris 7-Denis Diderot (2009), with thesis titled "Deformation Quantization and Lie Theory" under the supervision of Prof. Charles Torossian Master's degree in Mathematics from Universite Paris Sud, Orsay (2005) Bachelor's degree in Mathematics from Aristotle University of Thessaloniki (2004) Dr. Batakidis's research primarily centers on differential geometry, representation theory, and mathematical physics. His work explores complex structures in geometry including Poisson structures, Lie algebroids, and deformation quantization. He has made significant contributions to understanding the interplay between algebraic structures and geometric frameworks, particularly in the context of mathematical physics. His research often bridges theoretical mathematics with physical applications, examining how abstract algebraic concepts manifest in geometric settings. His publication record demonstrates a consistent focus on geometric structures and their algebraic representations. The most recent works (2021-2025) show an increasing specialization in tetraplectic structures, Atiyah classes, and Courant-Dorfman algebras, indicating a deepening exploration of sophisticated geometric frameworks. Earlier publications (2009-2018) establish his foundational work in deformation quantization and Lie theory, showing a clear research trajectory from basic theoretical frameworks to increasingly complex geometric structures. Dr. Batakidis has held various academic positions internationally, including at Pennsylvania State University and the University of Cyprus, demonstrating his recognition in the global mathematical community. His collaborative research approach is evident from his extensive co-authorship record across multiple institutions.

Sotirios Xydisمشاهده پروفایل

استادیار

• Hardware/Software Co-design
• High Level Synthesis
• Hardware Accelerators
• +۷ مورد دیگر

Sotirios Xydis is an Assistant Professor in the Division of Computer Science at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with prior faculty appointment at Harokopion University of Athens (2020-2023). He maintains ongoing collaboration with the Institute of Communication and Computer Systems (ICCS) since 2014 and previously served as an engineer at HEDNO (2015-2018) and postdoctoral researcher at Politecnico di Milano (2011-2013). His academic credentials include: BSc in Electrical and Computer Engineering, NTUA (2005) MSc in Techno-Economic Systems, NTUA (2011) PhD in Electrical and Computer Engineering, NTUA (2011) Dr. Xydis specializes in hardware/software co-design , energy-efficient hardware acceleration , and memory management for embedded and cloud-edge systems. His research bridges low-power circuit design , heterogeneous architecture optimization , and resource management frameworks , with particular emphasis on AI workloads and serverless infrastructures. Current projects target Edge AI accelerators (CONVOLVE), disaggregated memory systems, and LLM inference optimization through hardware-aware algorithms. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Energy-efficient hardware accelerators for Edge AI using approximate computing techniques, (2) Memory/resource management innovations for disaggregated serverless environments, and (3) GPU/FPGA optimization for LLM inference through dynamic frequency scaling and predictive throttling. These works consistently address the power-performance tradeoffs in heterogeneous computing systems. His scientific recognition includes: Best Paper Award, IEEE/NASA/ESA AHS (2007) Best Paper Award, ACM PARMA (2013) Best Paper Award, ACM Computing Frontiers (2020) Hipeac Award at DAC (2019, 2020) Dr. Xydis has secured over 15 European/national research grants as Principal Investigator and Technical Coordinator, focusing on hardware acceleration frameworks and energy-efficient computing. His advising encompasses graduate research in hardware design and optimization, though specific student names aren't publicly listed. Current projects include CONVOLVE for Edge AI and CollectiveHLS for collaborative hardware synthesis. He is a core member of NTUA's Microelectronics Laboratory (Microlab) and collaborates with ICCS on hardware acceleration projects. His team develops frameworks like CollectiveHLS and throttLL'eM, with active participation in DATE, DAC, and ISCA conference communities.

Dana Drachsler Cohenمشاهده پروفایل

استادیار

• Formal Methods
• Deep Learning Security
• AI Safety Verification
• +۲ مورد دیگر

Dana Drachsler Cohen is an Assistant Professor at the Faculty of Electrical and Computer Engineering, Technion, leading the SAFE lab (Secure Artificial Intelligence via Formal Methods and Engineering). Her research bridges formal methods and deep learning to establish security guarantees for AI systems. Her research focuses on leveraging formal analysis and synthesis techniques to mathematically prove the safety of deep learning models against adversarial attacks. Key interests include neural network robustness verification, program synthesis for repair, and privacy-preserving AI. The SAFE lab emphasizes practical system development that scales beyond theoretical methods while enhancing model transparency through customized verification programs. Her publication trends show consistent advancement in robustness verification techniques, evolving from pixel-level attacks to global robustness guarantees and privacy certification. Recent work integrates program synthesis with formal verification to create repair mechanisms and quantification methods with mathematical safety guarantees. Dr. Drachsler Cohen actively recruits students (PhD/MSc/BSc) for research in AI security and formal methods. She maintains significant service contributions as committee member for major conferences including PLDI, SPLASH, and POPL.

Zhenman Fangمشاهده پروفایل

دانشیار

• Hardware Acceleration
• Computer Architecture
• Big Data Computing
• +۷ مورد دیگر

Dr. Zhenman Fang is an Associate Professor in the School of Engineering Science (Computer Engineering Option) and Associate Member in the School of Computing Science at Simon Fraser University, Canada. He founded and directs the HiAccel Lab, focusing on accelerator-rich architectures. His PhD (2014) is from Fudan University, China, with 15 months spent at the University of Minnesota. Prior to SFU, he was a Staff Software Engineer at Xilinx (2017-2019) and a postdoc at UCLA (2014-2017). His research spans: Hardware acceleration for ML, big data, genomics, and HPC FPGA-based customizable computing and near-data processing Compiler/runtime systems for heterogeneous platforms Performance/reliability optimization of accelerator-rich systems His recent publications (2024-2025) focus on FPGA acceleration for machine learning (e.g., on-device training, quantization), computational chemistry, image/video compression, database systems, and reconfigurable computing, demonstrating cross-domain applications of specialized hardware. Awards & Honors: Best Paper Awards: FPL 2024, MEMSYS 2017, TCAD 2019 Best Paper Nominations: ICCAD 2025, FCCM 2025, HPCA 2017, ISPASS 2018 SFU Research Excellence Horizon Award (2025) NSERC Alliance, CFI JELF, and Xilinx University Awards He advises 20+ PhD/Master's students in HiAccel Lab, focusing on accelerator design. Major grants include NSERC Alliance (2020) and CFI JELF (2019). The lab operates a 10-node cluster with FPGA/GPU infrastructure.

Fabrice Rastelloمشاهده پروفایل

پژوهشگر

• Automatic Parallelization
• Compiler Back-End Optimization
• Static Single Assignment (SSA)
• +۴ مورد دیگر

Fabrice Rastello is a leading researcher at Inria, France, where he serves as the leader of the CORSE (Compiler Optimization and Runtime SystEms) research team. His expertise spans automatic parallelization and compiler back-end optimization, with significant contributions to Static Single Assignment (SSA) form theory and register allocation techniques. Affiliated with University Grenoble Alpes - Inria - CNRS - Grenoble INP - LIG, he maintains an active research profile with continuous publications in top-tier conferences including PLDI, CGO, and PPoPP. His research interests focus on combining theoretical foundations with practical applications in compiler design. Key areas include automatic parallelization techniques (building on his PhD work on tiling as a loop transformation), compiler back-end optimization, and the emerging field of hybrid compilation that bridges static compilation with runtime techniques. He has made significant contributions to register allocation for JIT compilation in the context of SSA properties, advising three PhD students on related topics. Analysis of his recent publications reveals a strong trend toward data movement optimization, with numerous papers on I/O complexity bounds, cache modeling, and microarchitectural performance analysis. His work spans both theoretical computer science and practical applications, including contributions to healthcare technology during the pandemic with the eSpiro ventilator project. He has also explored intersections between compiler techniques and machine learning, particularly in using ML for performance modeling. Fabrice Rastello serves on program committees for major conferences in the field, including PLDI, CGO, and CC, demonstrating his standing in the research community. His 2022 book 'SSA-based Compiler Design' as editor further establishes his authority in compiler theory and practice. His recent work shows continued innovation in compiler techniques, with publications in 2024 demonstrating ongoing research activity across multiple domains including cache modeling, program analysis, and machine learning applications.

Vassilios Papageorgiouمشاهده پروفایل

استاد

• Mathematical Physics
• Integrable Nonlinear Dynamical Systems
• Discrete Integrable Systems
• +۳ مورد دیگر

Vassilios Papageorgiou is a Professor at the Department of Mathematics, University of Patras, Greece. His research focuses on mathematical physics, integrable nonlinear dynamical systems, and discrete integrability. He has contributed to the study of Yang-Baxter maps, Painlevé equations, and Toda-type systems. Education : Undergraduate studies at University of Patras and Athens (1974–1978), DEA in Pure Mathematics (Paris VI, 1980), Third Cycle Doctorate in Pure Mathematics (Paris VI, 1983), Ph.D. in Applied Mathematics (Clarkson University, 1988). Research interests include the intersection of mathematical physics and integrable systems, with emphasis on discrete-time systems, nonlinear dynamics, and algebraic structures like Yang-Baxter equations. His work often bridges theoretical mathematics and computational methods. Publications span discrete integrability, Painlevé analysis, Yang-Baxter maps, and quantum integrable systems. Key trends involve symmetry reductions, isomonodromy problems, and connections to orthogonal polynomials. Students : Supervised Ph.D. theses by Dimitrios Nomikos (non-integrability of Størmer problem) and Theodoros Kouloukas (Yang-Baxter maps and integrability).

• Complex Geometry
• Moduli spaces of Higgs bundles
• Higher Teichmüller spaces
• +۳ مورد دیگر

Georgios Kydonakis is an Assistant Professor in the Department of Mathematics at the University of Patras . His research focuses on complex geometry, moduli spaces of Higgs bundles, and higher Teichmüller spaces. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2018), an M.Sc. from the University of Crete (2011), and a B.Sc. from the National and Kapodistrian University of Athens (2008). Research Interests: Dr. Kydonakis explores advanced topics in geometry and topology, including the interplay between Higgs bundles, spectral networks, and geometric structures. His work bridges pure mathematics with theoretical physics, particularly in areas like BPS states and conformal limits. Recent studies involve Poisson structures on moduli spaces over stacky curves and logahoric Higgs torsors for complex reductive groups. Teaching & Mentoring: Teaches undergraduate and graduate courses such as Algebra I, Differential Manifolds, and Tensor Analysis. Supervises PhD candidate Enya Hsiao in collaboration with Anna Wienhard (Max Planck Institute). Active in research networks like 'Mathematics in Greece' and serves as a reviewer for the Alexander von Humboldt Foundation. Publications: Over 12 peer-reviewed articles and preprints, with contributions to journals like Journal of Differential Geometry and Mathematische Annalen . Research trends emphasize geometric correspondences, monodromy analysis, and applications of nonabelian Hodge theory to Hitchin systems.

• Variational Transition State Theory
• Chemical Kinetics
• Quantum Chemistry
• +۴ مورد دیگر

Vasileios Melissas serves as an Assistant Professor at the University of Ioannina, where he leads research in theoretical and computational chemistry with emphasis on reaction kinetics and quantum mechanical applications. His work bridges fundamental theoretical developments with practical applications across multiple scientific domains. Dr. Melissas's research program focuses on: Variational Transition State Theory and multidimensional tunneling calculations Development of energy functions and surfaces through ab initio methods Biochemical applications including tyrosine radical interactions with nitric oxide Computational thermochemistry for gas phase reactions and enzymatic systems His theoretical frameworks have been successfully applied to atmospheric chemistry, combustion processes, environmental systems, and biochemical pathways. Dr. Melissas employs sophisticated computational approaches to study non-adiabatic reactions evolving on ground electronic states, with particular attention to quantum tunneling effects and quantized vibrational energy contributions to reaction rates. Analysis of his recent publications reveals a strong focus on atmospheric reaction systems involving halogenated compounds and methane oxidation, with significant methodological contributions to force field development for silicon-based polymers and advancements in reaction rate calculation software. His work consistently integrates quantum mechanical principles with practical chemical applications. Key research contributions include: Development of computational methods for poly(dimethylsilylenemethylene) force fields Theoretical kinetic studies of atmospheric systems (CH3Br + OH, CH3Cl + OH) Refinements to Interpolated Variational Transition State Theory with tunneling corrections Contributions to the POLYRATE software package for polyatomic reaction rate calculations Dr. Melissas maintains active research collaborations, particularly with prominent theoretical chemists including D. G. Truhlar, and continues to advance computational methodologies for studying complex chemical reaction systems through his research group at the University of Ioannina.

• Control Theory
• Nonlinear Systems
• Partial Differential Equations (PDEs)
• +۴ مورد دیگر

**Nikolaos Bekiaris-Liberis** is a Professor in the Department of Electrical and Computer Engineering at the Technical University of Crete. His research focuses on control theory, nonlinear systems, and partial differential equations (PDEs), with applications to traffic flow, epidemics modeling, cardiovascular systems, and microfluidics. He leads a research team funded by grants such as the ERC Consolidator Grant (C-NORA) and HFRI Research Projects (ORAMA). Education and Affiliations: While specific educational details are not provided, his extensive work in PDE-based control systems indicates a strong background in applied mathematics and engineering. He collaborates with institutions like CNRS LS2N (France) and the Hellenic Electricity Distribution Network Operator SA. Research Interests: His work addresses stabilization of nonlinear systems with delays, quantization effects, and PDE dynamics. Key areas include: Predictor-Feedback Stabilization for systems with input/state delays Control of hyperbolic PDEs and large-scale systems Epidemics transport dynamics and traffic flow modeling Microfluidics and cardiovascular flow analysis Advising and Grants: He supervises 4 current PhD students (e.g., Lefteris Dimitriou on epidemics transport) and has mentored 10+ alumni. His grants include ERC (C-NORA) and HFRI (ORAMA), supporting research into epidemics control, connected vehicles, and cardiovascular modeling. Labs/Teams: His research team focuses on PDE-based control and interdisciplinary applications, collaborating across engineering, mathematics, and public health domains.

Nikolaos Bekiaris-Liberisمشاهده پروفایل

دانشیار

• Distributed parameter systems
• Delay systems
• Nonlinear control
• +۹ مورد دیگر

Roles and Affiliation: Nikolaos Bekiaris-Liberis is an Associate Professor in the Department of Electrical & Computer Engineering at the Technical University of Crete (TUC). He holds a PhD in Aerospace Engineering from the University of California, San Diego (2013) and has held positions including Marie Skłodowska-Curie Fellow, Assistant Professor, and Adjunct Professor at TUC. Education: PhD in Aerospace Engineering, UC San Diego (2013) MS in Aerospace Engineering, UC San Diego (2010) Bachelor of Science in Electrical and Computer Engineering, National Technical University of Athens (2007) Research Interests: His work focuses on theoretical and applied control systems, including distributed parameter systems, delay systems, nonlinear control, and switched systems. Applications span traffic flow control, automated vehicles, biological transport systems, and automotive catalysts. He emphasizes translating PDE-based models into practical control solutions for real-world systems. Notable Achievements: Recipient of the European Research Council (ERC) 2022 Consolidator Grant for the C-NORA project. 2019 IEEE ITS Outstanding Research Paper Award for contributions to traffic control. Marie Skłodowska-Curie Individual Fellowship (2017) and Chancellor's Dissertation Medal (2014). Advising & Grants: Supervises PhD and Master’s students in control systems and traffic dynamics. Leads the ERC-funded C-NORA project and previously directed the PADECOT (Marie Curie) initiative. His team includes postdocs and undergraduate researchers focusing on traffic flow modeling, epidemics transport, and PDE-based control. Professional Contributions: Editor for IEEE Transactions on Intelligent Transportation Systems and Automatica. Organized workshops on traffic flow control and PDE techniques at major conferences like CDC and ECC. Active in industry partnerships, including collaborations with Ford Motor Company on catalytic converter control.

• Nonlinear Control
• Distributed Parameter Systems
• Delay Systems
• +۶ مورد دیگر

Nikolaos Bekiaris-Liberis is an Associate Professor in the Department of Electrical & Computer Engineering at the Technical University of Crete (TUC). He holds a Ph.D. from the University of California, San Diego (2013), an M.S. from the same institution (2010), and a Diploma from the National Technical University of Athens (2007). His research focuses on nonlinear control, distributed parameter systems, delay systems, and their applications in traffic flow, automated vehicles, and biomedical systems. Education: Ph.D., University of California, San Diego (2013) M.S., University of California, San Diego (2010) Diploma, National Technical University of Athens (2007) Research Interests: Nonlinear control theory and applications Control of systems with distributed parameters and delays Traffic flow modeling and automated vehicle systems Biological transport systems and cardiovascular flow Dr. Bekiaris-Liberis has authored over 100 papers and serves as an Associate Editor for Automatica and IEEE Transactions on Intelligent Transportation Systems . His work has been recognized with awards such as the Chancellor’s Dissertation Medal (2014), a Marie Sklodowska-Curie Fellowship (2016), and an ERC Consolidator Grant (2022). His research highlights include advancements in predictor feedback for systems with input delays, stabilization of hyperbolic PDEs, and control strategies for traffic flow and connected vehicles. Recent work explores the impact of ventilation on epidemic transport dynamics and the stability of cardiovascular systems under stenosis conditions. Awards: Chancellor’s Dissertation Medal in Engineering (2014) Marie Sklodowska-Curie Individual Fellowship (2016) ERC Consolidator Grant (2022) Grants and Funding: ERC Consolidator Grant for large-scale PDE control research Marie Sklodowska-Curie Fellowship (2016–2019) He leads the Automation Laboratory at TUC and teaches courses on Linear Systems, Control Systems, and Nonlinear Systems. His work bridges theoretical control advancements with practical applications in transportation, biomedical systems, and industrial processes.

Livieris Ioannisمشاهده پروفایل

استادیار

• Machine Learning
• Optimization Methods
• Deep Learning
• +۷ مورد دیگر

Livieris Ioannis is an Assistant Professor in the Department of Statistics and Insurance Science at the University of Piraeus. He holds academic positions including Adjunct Professorships at the University of the Peloponnese and Technological Educational Institute of Western Greece. His research focuses on optimization methods for neural networks, machine learning, ensemble techniques, and their applications in healthcare, finance, education, and environmental science. Education: Ph.D. in Mathematics (2012), University of Patras M.Sc. in Computational Mathematics & Informatics in Education (2008), University of Patras B.Sc. in Mathematics (2006), University of Patras Research Interests: Dr. Livieris specializes in developing optimization algorithms for neural networks, semi-supervised learning, and ensemble methods. His work emphasizes practical applications such as time series forecasting (financial, environmental), medical image analysis (cancer detection, X-ray classification), and educational data mining (student performance prediction). He also explores explainable AI frameworks to enhance transparency in deep learning models. Key Contributions: He has contributed to over 50 peer-reviewed articles, including work on weight-constrained neural networks, gradient-based optimization, and CNN-LSTM models for cryptocurrency forecasting. His research has been recognized with inclusion in Stanford’s top 2% scientists (2020–2023) and a best paper award at HERCMA ’09. Awards & Roles: Associate Editor, Evolving Systems (Springer) Reviewer for 50+ journals including Neurocomputing and IEEE Transactions on Neural Networks Grants & Projects: Principal investigator in EU-funded projects like NEUROCLIMA (climate resilience via AI), ORBIS (democratic participation via AI), and PVAdapt (sustainable energy systems). He also leads initiatives in explainable AI for medical imaging and causal effect estimation in social science. Labs & Teams: Active in interdisciplinary teams at the University of Piraeus, focusing on AI-driven solutions in education, healthcare, and environmental monitoring. Collaborates with institutions like the IEEE and the Hellenic Association of ICT in Education.

Dimitrios Soudrisمشاهده پروفایل

استاد

• Computer Engineering
• Embedded Systems
• Reconfigurable Architectures
• +۵ مورد دیگر

Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.

• Chemical Dynamics
• Quantum Chemistry
• Computational Chemistry
• +۶ مورد دیگر

Melissas Vassilios is an Assistant Professor at the Department of Chemistry, University of Ioannina. His research focuses on theoretical and computational chemistry, particularly in reaction kinetics, transition state theory, and quantum mechanical effects in chemical systems. Research Highlights: Development of dynamic energy functions via ab initio calculations for studying polymeric materials and reaction mechanisms. Application of Variational Transition State Theory with multidimensional tunneling corrections to atmospheric, combustion, and biochemical reactions. Investigation of tyrosine radical interactions with nitric oxide in enzyme systems, linking quantum mechanics to pathological diagnostics. Thermochemical studies of gas-phase reactions using computational methods. Publications & Software: He has contributed to POLYRATE 6.5, a reaction rate computation program, and published studies on CH3Br/OH atmospheric systems, CH3Cl/OH kinetics, and silicon-based polymer force fields.