جست‌وجوی استاد و پژوهشگر

• Quantum Computing
• Quantum Physics
• Atomic Physics
• +۷ مورد دیگر

Servaas JJMF Kokkelmans is a full Professor at Eindhoven University of Technology (TU/e), where he leads the Coherence and Quantum Technology group within the Department of Applied Physics and Science Education. He serves as scientific director of the Center for Quantum Materials and Technology Eindhoven (QT/e), which he founded in 2018, and is a co-founder of the Eindhoven Hendrik Casimir Institute established in 2021. Kokkelmans also coordinates action line 1: Research and Innovation at Quantum Delta NL, demonstrating his national leadership in quantum technology. Professor Kokkelmans earned his MSc in Physics from TU/e in 1996 and completed his PhD on interacting atoms in clocks and condensates in 2000. Following postdoctoral research at JILA, University of Colorado (USA) and Laboratoire Kastler Brossel, ENS (France), he returned to TU/e in 2004 as an Assistant Professor, became Associate Professor in 2017, and was promoted to full Professor in 2023. His research focuses on strongly-interacting quantum gases and neutral atom quantum computing, with particular expertise in manipulating interatomic interactions. Kokkelmans' work impacts quantum materials development, quantum computing, and fundamental understanding of superfluidity. His expertise spans many-body properties of Fermi and Bose gases, ultracold collisions, Feshbach resonances, ultracold molecules, Efimov trimers, ultracold plasmas, and Rydberg atoms. Analysis of his recent publications reveals a strong progression from fundamental quantum gas studies to practical quantum computing implementations, with increasing emphasis on optical tweezer arrays, Rydberg atom systems, and hybrid quantum architectures. Professor Kokkelmans has received numerous prestigious awards: NWO Vici Award: 'From neutron star to quantum computer' (2015) NWO Vidi Award: 'Atomic gases with strong interactions' (2003) Teacher Award of Appreciation Applied Physics (2021) Visiting Scientist Fellowship JILA (2016) Eindhoven University of Technology Fund for Excellence (2010) As principal investigator of the KAT-1 project 'Rydberg Atom Quantum Computing' (2020-2028), Kokkelmans leads a major research initiative in neutral atom quantum computing. His research group has secured substantial funding from NWO and university sources, supporting numerous PhD students and postdoctoral researchers. His educational contributions include teaching 'Hybrid quantum computing,' 'Quantum Optics and Quantum Information,' and 'Ultracold quantum physics' courses. Professor Kokkelmans founded the Center for Quantum Materials and Technology Eindhoven (QT/e) as a hub for quantum research at TU/e. His Coherence and Quantum Technology group combines experimental and theoretical approaches to quantum systems, with particular strength in ultracold atomic physics. The group's work bridges fundamental quantum phenomena with practical quantum technology applications, positioning TU/e as a significant player in the global quantum computing landscape.

• Information Visualization
• Software Systems
• Cybersecurity
• +۳ مورد دیگر

Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.

Wim Casteelsمشاهده پروفایل

مدرس

• Data Science
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

• Computer Science
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Yongtao Wu is a Doctoral Assistant and student in the doctoral program in Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL). He is affiliated with the Laboratory for Information and Inference Systems (LIONS), part of the School of Engineering (STI) and the Institute of Electrical Engineering (IEM). His research focuses on machine learning, adversarial learning, computer vision, and deep learning, with applications in vision-language models, robustness analysis, and optimization algorithms. His work explores topics such as diffusion-based purification for vision-language models, adversarial attacks on large models, and parameter-efficient fine-tuning techniques. He contributes to advancing foundational AI models and their robustness in real-world scenarios. His research also intersects with cybersecurity, structural engineering predictions, and quantum computing methodologies. Yongtao is actively involved in the LIONS lab, collaborating on projects that bridge theoretical advancements with practical applications in computer science and engineering. His doctoral studies emphasize interdisciplinary approaches to solving complex problems in AI and machine learning.

Igor Roncevicمشاهده پروفایل

مدرس

• Computational Chemistry
• Theoretical Chemistry
• Materials Science
• +۵ مورد دیگر

Igor Roncevic is a Lecturer in Computational and Theoretical Chemistry, focusing on interdisciplinary research spanning materials science, organic chemistry, and theoretical physics. His work contributes to UN Sustainable Development Goals through innovations in molecular design and energy-related materials. Research Interests Computational modeling of porphyrin-based systems and nanomaterials Electronic and structural characterization of antiaromatic and aromatic compounds Energy levels and charge transfer dynamics in molecular systems Development of novel carbon allotropes and their applications Recent Research Trends Roncevic’s articles emphasize porphyrin nanorings, cyclocarbon stabilization, and bistable electronic states. His work explores quantum interference phenomena, phase transitions in liquid metals, and photoswitchable molecular arrays. These studies bridge theoretical predictions with experimental validation, often using density functional theory (DFT) and advanced spectroscopic techniques. Advising Roncevic is currently accepting PhD students interested in computational chemistry and nanomaterials. He collaborates with international teams across Europe and the US, focusing on projects funded by grants in materials science and energy research.

Christian Mendlمشاهده پروفایل

استادیار

• Quantum Computing
• Computational Physics
• Statistical Physics
• +۲ مورد دیگر

Christian Mendl is a Rudolf Mößbauer Tenure Track Assistant Professor at the Technical University of Munich (TUM) , affiliated with the School of Computation, Information and Technology and the Institute for Advanced Study (TUM-IAS) . His career includes a postdoctoral position at Stanford University (2015-2017) under a Feodor Lynen Fellowship from the Alexander von Humboldt Foundation, a Junior Professorship at TU Dresden (2017-2019), and a PhD in Physics from LMU Munich (2012). Education : Physics and Mathematics (TUM) Appointments : Rudolf Mößbauer Assistant Professor (TUM, 2019), Junior Professor (TU Dresden, 2017), Postdoc (Stanford, 2015-2017) Research Focus : Mendl specializes in Quantum Computing , Computational Physics (tensor networks, quantum Monte Carlo, neural-network quantum states), Statistical and Non-Equilibrium Physics , and Numerical Simulation . His work bridges quantum information theory with condensed matter physics, emphasizing efficient quantum algorithms and simulators for complex systems. Scientific Contributions : Recent publications highlight advancements in quantum circuit optimization , tree tensor network simulations , block encoding of operators , and quantum-assisted optimization for problems like the capacitated vehicle routing and Toda lattice dynamics. His methods often integrate machine learning with quantum information to address challenges in Hamiltonian simulation and quantum error analysis . Awards : Alexander von Humboldt Feodor Lynen Fellowship, Boehringer Ingelheim Fonds PhD Fellowship, TopMath Graduate Program, Studienstiftung des deutschen Volkes Grants : Rudolf Mößbauer Tenure Track Fellowship (TUM-IAS), Dieter Schwarz Fellowship

• Wireless Communications
• Telecommunications
• Algorithms Design
• +۳ مورد دیگر

Professor Robert G. Maunder is affiliated with the University of Southampton and leads research in wireless communications, algorithms design, and hardware implementation. He has been with the School of Electronics and Computer Science since 2000, advancing from Lecturer to Professor in 2017. BEng (First Class) in Electronic Engineering (2003) PhD in Telecommunications (2007) His research focuses on joint source/channel coding and optimizing wireless communication systems through algorithm-hardware co-design. Recent work includes 5G non-terrestrial networks, OTFS modulation, and quantum code decoding. Key collaborators include Prof. Lajos Hanzo and Prof. Sir Bashir Al-Hashimi. Selected awards: IEEE Senior Member (2012), Chartered Engineer (IET, 2013), Fellow of the IET (2017). He supervises PhD student Arumjeni Mitayani and founded AccelerComm Ltd to commercialize soft-IP solutions.

Paul Robert Griffinمشاهده پروفایل

دانشیار

• Artificial Intelligence and Data Science
• Machine Learning & Intelligence
• Information Systems & Technology
• +۵ مورد دیگر

Paul Robert Griffin is a Full-time Faculty member at Singapore Management University (SMU) , serving as an Associate Professor of Information Systems (Practice) in the School of Computing and Information Systems. He earned his PhD from Imperial College London in 1997 and has taught courses on Quantum Computing in Financial Services, Blockchain Technology, and Software Engineering. PhD, Imperial College London, 1997 Teaching: Quantum Computing, Blockchain, Software Engineering Research Interests: Artificial Intelligence, Machine Learning, Digital Transformation, Smart Contracts His research focuses on Quantum Machine Learning (QML) , with applications in financial transaction optimization, credit scoring, and time series forecasting. He has published extensively on hybrid quantum-classical models, explainable quantum neural networks, and decentralized systems. Key themes include noise resilience in QML, quantum finance, and blockchain ethics. The 15 most recent articles highlight trends in Quantum Computing for Finance , Smart Contracts , Decentralized Systems , and Explainable AI . His work bridges theoretical advancements with practical implementations in banking technology, including corporate banking operations and financial risk prediction. Advisees include PhD students ONG Weng Hwee (Lawrence) , Ramaprasad RAMAKRISHNAN , and YAU Hon Tak (Sean) . His work integrates digital transformation with cutting-edge quantum and blockchain technologies to address challenges in financial services and distributed systems.

Daniel Gonzalesمشاهده پروفایل

استاد

• Communication Systems
• Electronic Warfare
• Cybersecurity
• +۶ مورد دیگر

Daniel Gonzales is a Senior Scientist at the RAND Corporation and Professor of Technology Analysis at the RAND School of Public Policy. His expertise spans advanced communication systems, electronic warfare, cybersecurity, and physics, with a focus on defense technology policy and the Department of Defense (DoD). He analyzes technical and policy issues related to quantum computing, directed energy, hypersonic systems, and microchip supply chains. Gonzales holds a Ph.D. in theoretical physics from MIT and a B.S. in physics from Stanford University. Education: Ph.D. in Theoretical Physics, Massachusetts Institute of Technology B.S. in Physics, Stanford University Research Focus: Gonzales' work combines technical analysis with policy implications, addressing strategic military technology challenges. Recent studies include comparative assessments of U.S. and Chinese military tech capabilities, quantum technology industrial bases of U.S. allies, and alternative futures for global digital infrastructure. He emphasizes securing 5G networks, mitigating microelectronics supply chain risks, and countering adversarial digital modernization efforts. Publications Overview: His research spans cybersecurity, military innovation, and technology governance, with notable contributions to understanding U.S.-China competition in critical technologies. He explores how emerging technologies like quantum computing and hypersonics reshape defense strategies while addressing vulnerabilities in communication systems and electronic warfare domains. Grants & Labs: Active in DoD-funded projects analyzing defense acquisition policies, network-centric operations, and interoperability challenges in coalition forces. His work informs policies on export controls, hardware security mechanisms, and strategic technology investments.

• Quantum Theory
• Information and Communication Theory
• Algebraic Geometry
• +۳ مورد دیگر

Helena Martín Cruz is an Assistant Professor at the Faculty of Mathematics, Jaume I University . Her research focuses on Quantum Information Processing and Algebraic Geometry applications to error-correcting codes. As of 2024, she has published 4 works since her doctoral graduation from Jaume I University in 2024. PhD in Mathematics (2024), Jaume I University Thesis: Quantum codes and locally recoverable codes from evaluation codes Her work explores Quantum Stabilizer Codes , Hermitian Dual-Containing Codes , and Monomial-Cartesian Code Constructions for quantum computing applications. Collaborators include Dr. Carlos Galindo Pastor and Dr. Fernando Hernando Carrillo. Recent publications analyze quantum code optimization against the Gilbert-Varshamov Bound and develop Locally Repairable Codes for quantum systems. She has contributed to advancements in Quantum Error-Correcting Codes through algebraic structures and finite field cryptography.

Marc St.-Hilaireمشاهده پروفایل

استاد

• Telecommunication network planning
• Wired and wireless communication networks
• Mobile computing
• +۱۲ مورد دیگر

Marc St.-Hilaire is a Professor at the School of Information Technology and cross-appointed to the Department of Systems and Computer Engineering at Carleton University within the Faculty of Engineering and Design . He holds a Ph.D. from École Polytechnique de Montréal and serves as the NET Program Coordinator. He is a Senior Member of IEEE and has received multiple awards, including the Carleton Faculty Graduate Mentoring Award and the Teaching Achievement Award. Education: Ph.D., École Polytechnique de Montréal His research centers on telecommunication network planning, mobile computing, and network optimization , with strong emphasis on wireless and vehicular networks, fog/edge computing, blockchain integration, and AI-driven network protocols . His recent work applies reinforcement learning, genetic algorithms, and fuzzy logic to solve challenges in dynamic and distributed environments. The trend in his recent publications shows a strong focus on smart infrastructure , including Internet of Vehicles (IoV), smart grids, and cloud/edge resource management . He frequently collaborates with students and researchers on topics such as virtual network embedding, SLA-aware provisioning, and cooperative positioning , often leveraging emerging technologies like blockchain and deep learning. Scientific Awards and Honors: Senior Member, IEEE Best Industry Paper Award, WF-IoT 2024 Best Paper Award, ADHOCNETS 2019 Best Paper Award, iThings 2018 IEEE WIE Best Paper Award, CCECE 2018 Best Paper Award, ADHOCNETS 2017 Carleton Faculty Graduate Mentoring Award, 2014 Carleton Teaching Achievement Award, 2014–2015 Dr. St.-Hilaire actively supervises a large team of graduate students and has mentored over 40 Ph.D., Master’s, and postdoctoral researchers to completion. He has secured significant research funding through industry and government grants, enabling extensive experimental testbeds in SDN, fog computing, and vehicular networks. His work bridges theoretical optimization with practical implementation, often releasing tools and simulators (e.g., NetAnalyzer, DEVS fog simulator). He leads a vibrant research team focused on network intelligence, edge-based complex event processing, and sustainable computing . His lab collaborates with industry partners on projects involving 5G/6G integration, TSN in cloud environments, and smart city applications such as cloud-based waste management and smart grid simulation.

• Wireless Systems and Networks
• Internet of Things (IoT)
• Digital Twin
• +۹ مورد دیگر

Luciano Bononi is a Full Professor and Deputy Head of the Department of Computer Science and Engineering at the University of Bologna. He holds a PhD in Computer Science (2002) and has been active in academia since 2001, progressing through roles like Researcher, Senior Researcher, Associate Professor (2011), and Full Professor (2020). His research focuses on Wireless Systems, IoT, Digital Twins, Smart Cities, and Mobile Applications , with over 160 peer-reviewed publications and major contributions to EU projects like Arrowhead and IoE. Education: MS (Laurea) in Computer Science, University of Bologna (1997, Summa cum Laude) PhD in Computer Science, University of Bologna (2002) Research Interests: Bononi's work spans Wireless Protocols, IoT Platforms, Digital Twin Integration with AI, Smart Mobility/ Energy Systems, and Edge Computing . He leads the WiLMA Lab and the ALMA-AI CoInnovation Lab , focusing on real-world IoT deployments and smart city solutions. Key Contributions: Coordinated EU projects like Arrowhead (2013-2017) and national initiatives like PNRR-Mobility-Spoke 7 Recipient of 4 Best Paper Awards and top rankings in global scientist databases Editorial roles at 7 journals including Wiley's Wireless Communications and Elsevier's Ad Hoc Networks Organized over 15 international conferences as Chair and participated in 200+ TPC roles Labs & Teams: Directs the WiLMA Lab (Wireless Systems and Mobile Apps) and the ALMA-AI CoInnovation Lab , emphasizing interdisciplinary collaboration between academia and industry.

• Quantum Physics
• Condensed Matter Physics
• Quantum Computing
• +۳ مورد دیگر

Carlo Beenakker is a Professor of Theory of Condensed Matter at Leiden University's Leiden Institute of Physics (LION), specializing in theoretical physics with a focus on quantum systems. He leads the Beenakker Group, investigating Majorana particles, superconductivity, and quantum computing applications. His work bridges fundamental physics and technological innovation, particularly in nanophysics and topological materials. Research Interests: His studies encompass quantum transport phenomena, topological phases of matter, and the behavior of quantum particles in confined geometries. He explores how these principles can advance quantum computing architectures and superconducting qubit technologies. Awards & Grants: Recipient of the 2023 KHMW Graduation Prize for research on superconducting qubits and the 2024 NWO Summit Grant for fundamental quantum limits research. His work has been widely cited and featured in Physical Review Letters and Physical Review B . Advising & Collaboration: Supervised over 28 PhD candidates, including current student Tom O'Brien. His research group collaborates internationally on projects like Majorana vortex modes and Weyl superconductors. Active in science communication, appearing in podcasts and media outlets. Labs/Teams: Directs the Beenakker Group within LION, contributing to the Frontiers of Nanoscience (NanoFront) initiative. Research spans theoretical frameworks for quantum software algorithms and condensed matter systems.

Wolfgang Lechnerمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Algorithms
• Quantum Information Theory
• +۳ مورد دیگر

Univ.-Prof. Dr. Wolfgang Lechner is a Professor at the Institute of Theoretical Physics at the University of Innsbruck, leading the Quantum Computing research group. His work focuses on theoretical and applied aspects of quantum computing, including quantum algorithms, quantum annealing, and error correction using Rydberg atoms. He holds a prominent role in advancing parity-based quantum architectures and their implementation in scalable quantum systems. Research interests include developing novel quantum algorithms for optimization problems, fault-tolerant quantum computing frameworks, and hardware-aware design of quantum circuits. His contributions span theoretical physics, computer science, and engineering, addressing both fundamental principles and practical implementations of quantum technologies. Key trends in his recent articles emphasize parity-based architectures, multi-qubit gate operations, and applications in solving industrially relevant optimization challenges. The body of work highlights innovation in quantum error mitigation, algorithm parallelization, and scalable hardware implementations. While no specific awards are listed, his active research output reflects significant contributions to the field. He advises students and collaborates on grants related to quantum computing fundamentals and applications, though explicit details are not provided in the text. Lechner's research group actively explores quantum annealing, variational methods, and the interplay between quantum systems and classical control mechanisms, positioning his work at the forefront of modern quantum computing research.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +۵ مورد دیگر

Rosa Maria Badia Sala is a Research Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Arquitectura de Computadors and the Barcelona Supercomputing Center (BSC-CNS). She specializes in distributed computing, heterogeneous systems, and task-based programming models. Her work focuses on advancing high-performance computing (HPC), cloud computing, and workflow management for large-scale scientific applications. She holds a Doctorat en Informàtica and has been actively involved in numerous research projects, including contributions to the COMPSs programming framework and the optimization of HPC workflows. Her collaborations span institutions like BSC-CNS and international initiatives such as JLESC. Recent research includes GPU-accelerated computing, quantum optimization algorithms, and digital twins for power networks. Badia's publications span journals like Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems, reflecting her expertise in parallel computing, distributed systems, and real-time data analysis. She has supervised multiple doctoral theses and contributes to research grants focused on HPC and AI integration.