جست‌وجوی استاد و پژوهشگر

• Marine Magnetism
• Rock Magnetism
• Environmental Magnetism
• +۷ مورد دیگر

Professor LIU Qingsong is a Chair Professor at the Department of Marine Science and Engineering, College of Engineering, Southern University of Science and Technology (SUSTech). He holds the prestigious National Science Fund for Distinguished Young Scholars award and serves in multiple leadership roles including Party Secretary of his department. His academic journey spans institutions across China, the USA, and the UK, with significant contributions to the field of environmental magnetism and paleoclimate reconstruction. Education Ph.D. in Geology and Geophysics, University of Minnesota, USA (1999-2004) Ph.D. in Geophysics, Institute of Geophysics, Chinese Academy of Sciences (1996-1999) Master's in Applied Geophysics, China University of Geosciences (1993-1996) Bachelor's in Applied Geophysics, China University of Geosciences (1989-1993) Research Focus Professor Liu's research centers on geological applications of rock-, environmental-, and paleo-magnetism . His work investigates magnetic mineral properties across diverse geological settings, with particular focus on aeolian dust signals recorded in Chinese loess (reflecting Asian monsoon dynamics) and marine sediments from the North Pacific Ocean (related to westerly wind patterns). He has developed innovative approaches for constructing chronological frameworks for marine sediments and has made significant contributions to understanding striped magnetic anomalies in ocean floor sediments and paleoceanographic conditions of the North Pacific. His interdisciplinary approach integrates mineral magnetism with sedimentology, paleoclimatology, and geochronology. Scientific Recognition National Science Fund for Distinguished Young Scholars recipient Distinguished Professor of Ministry of Education Aoshan Distinguished Professor, Qingdao National Laboratory for Marine Science and Technology Distinguished Professor, Chinese Academy of Sciences (CAS) National Model Teacher (2019) Shenzhen National Leading Talent (2018) China 100 Distinguished Chinese Alumni Award from University of Minnesota Academic Leadership Professor Liu serves as Deputy Executive Director of the Paleomagnetic and Geochronology Laboratory at the Institute of Geology and Geophysics, CAS. He previously chaired the rock magnetism working group of the International Association of Geomagnetism and High Altitude (2011-2015) and directed the Sino-French Monsoon-Ocean-Climate Joint Laboratory. He has supervised numerous graduate students, with many receiving top academic awards including the CAS President's Special Award and Outstanding Doctoral Dissertation Award. His editorial service includes roles as Topic Editor for Frontiers and Guest Editor for Earth, Planets, and Spaces.

• Security
• Theoretical Computer Science
• Formal Methods
• +۷ مورد دیگر

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.

David Lowenthalمشاهده پروفایل

استاد

• Parallel and distributed computing
• Operating systems
• Run-time systems

David Lowenthal is a Professor at the University of Arizona specializing in parallel and distributed computing, operating systems, and run-time systems, with his office located in GS 705. His research directly addresses critical challenges in modern high-performance computing infrastructure. His educational background includes: Ph.D. in Computer Science from the University of Arizona (1996) Professor Lowenthal's research centers on optimizing large-scale computing systems through innovative scheduling algorithms, power management techniques, and network optimization strategies. Key contributions include mitigating inter-job interference in cluster environments, developing quality-of-service mechanisms for MPI applications, and pioneering coscheduling approaches like the Jigsaw scheduler. His work bridges theoretical computer science with practical system implementation to enhance resource utilization under power constraints. Analysis of his 15 most recent publications (2016-2023) reveals three dominant research thrusts: intelligent job scheduling (particularly coscheduling and backfilling), power-aware computing for energy-constrained HPC systems, and network performance optimization in dragonfly/fat-tree topologies. These publications consistently demonstrate collaborative NSF-funded research with emphasis on real-world system implementation and performance evaluation. No scientific awards were documented in the provided text. While no student advisees were listed, his research program has secured substantial NSF funding through collaborative grants including "Collaborative Research: SHF: Medium: Co-Optimizing Computation and Data Transformations for Sparse Tensors" (2022) and "Collaborative Research: OAC Core: Improving Utilization of High-Performance Computing Systems via Intelligent Co-scheduling" (2021), indicating active grant management and interdisciplinary collaboration. No specific laboratories or research teams were mentioned in the source material.

John Morgan Sampsonمشاهده پروفایل

دانشیار

• Energy Efficient Computing
• Energy Harvesting
• Dark Silicon
• +۶ مورد دیگر

John Morgan Sampson is an Associate Professor in the Department of Computer Science and Engineering. His research focuses on energy-efficient computing, neuromorphic systems, and memory safety. Active in energy harvesting systems and in-memory computing Specializes in dark silicon, non-volatile memory, and deep neural networks Collaborates on projects related to distributed sensor networks and secure architectures Research Trends: Recent articles highlight advancements in energy-efficient computer architecture , memory safety validation , and neuromorphic computing . Key subfields include spiking neural networks , edge-cloud partitioning , and heap memory protection .

• Quantum Science
• Quantum Thermodynamics
• Condensed Matter Physics
• +۲ مورد دیگر

Dr. Lewis Williamson is a Research Fellow at the School of Mathematics and Physics, University of Queensland, and an affiliate of the ARC Centre of Excellence for Engineered Quantum Systems (EQUS). His academic qualifications include a Bachelor of Science (Honours), Postgraduate Diploma, and PhD from the University of Otago. His research centers on quantum science , with emphases on: Quantum thermodynamics and work extraction in coherent systems Dynamics of Bose-Einstein condensates and ferromagnetic superfluids Berezinskii-Kosterlitz-Thouless phase transitions Non-equilibrium dynamics in quantum many-body systems Recent publications (2014–2025) predominantly explore quantum phase transitions, spin vortices, and quantum heat engines, reflecting a consistent focus on statistical mechanics and quantum coherence in ultracold atomic platforms. Theoretical modeling of spinor condensates and thermodynamic processes forms the core trend across these works. He currently co-advises doctoral candidates on projects involving quantum thermal machines and many-body systems, underscoring his active supervisory role. His laboratory affiliations leverage resources from the EQUS research center for engineered quantum systems.

Eran Rabaniمشاهده پروفایل

استاد

• Theoretical and computational chemistry
• Nanomaterials
• Quantum dots
• +۷ مورد دیگر

Prof. Eran Rabani is a distinguished researcher and professor holding dual appointments at Tel Aviv University's School of Chemistry and the University of California, Berkeley's Department of Chemistry. At UC Berkeley, he holds the prestigious Glenn T. Seaborg Chair in Physical Chemistry and serves as a Faculty Scientist at Lawrence Berkeley National Laboratory. His research bridges theoretical chemistry, computational physics, and nanomaterials science, with significant contributions to understanding quantum phenomena at the nanoscale. Prof. Rabani earned his Ph.D. in Theoretical Chemistry from The Hebrew University in 1996, followed by postdoctoral research at Columbia University. His academic career progressed from Senior Lecturer to full Professor at Tel Aviv University, where he has maintained a continuous appointment since 1993. His educational background includes a summa cum laude B.Sc. from the Special Program "Amirim" at The Hebrew University. Rabani's research program centers on three interconnected pillars: Optoelectronic Properties of Nanomaterials , where his group develops computational models to describe exciton fine structure and phonon interactions in nanocrystals; Quasiparticle Dynamics , investigating electron transfer processes in nanoscale systems; and Stochastic Electronic Structure Methods , pioneering computational approaches that dramatically reduce the complexity of quantum simulations. His work combines theoretical innovation with practical applications in renewable energy, sensing technologies, and quantum information processing. Analysis of Rabani's recent publications reveals a strong emphasis on quantum confinement effects, exciton dynamics, and the development of stochastic computational methods that enable simulations of previously intractable systems. His research demonstrates increasing interdisciplinary collaboration, particularly with experimental groups working on quantum dots, perovskites, and other nanomaterials, with a clear trajectory toward solving real-world problems in energy conversion and quantum technologies. Prof. Rabani's contributions have been recognized with numerous prestigious awards: International Association of Advanced Materials Fellow (2023) Humboldt Research Award (2022) Vebleo Fellow for Prominence and Leadership in Science (2021) Glenn T. Seaborg Chair in Physical Chemistry (2017) Baker Symposium Speaker at Cornell University (2016) Kavli Frontiers of Science Alumni (2015) Marko & Lucie Chaoul Chair for Theoretical and Computational Nanoscience (2013) His research program is supported by substantial funding from major agencies including the National Science Foundation, Department of Energy, and Israel Science Foundation. Current grants (2021-2025) total over $2.5 million, focusing on semiconductor nanowires, computational materials science, and optoelectronic materials. As Director of The Sackler Center for Computational Molecular and Materials Science at Tel Aviv University, he leads a vibrant research group that bridges theoretical innovation with experimental validation. Prof. Rabani directs The Sackler Center for Computational Molecular and Materials Science at Tel Aviv University and has served in various administrative roles including Vice President for Research and Development. His research group maintains strong collaborations with experimentalists worldwide, creating an intellectual community focused on advancing fundamental understanding of nanoscale phenomena while exploring practical applications in energy, sensing, and quantum technologies.

Sven Apelمشاهده پروفایل

استاد

• Software product lines and configurable systems
• AI-based program generation and optimization
• Socio-technical software analysis
• +۳ مورد دیگر

Professor Sven Apel holds the Chair of Software Engineering at Saarland University's Saarland Informatics Campus in Germany. He is also the Director of the Saarbrücken Graduate School of Computer Science. His work focuses on software engineering with an emphasis on automation, human factors, and interdisciplinary approaches. Prof. Apel received his Ph.D. in Computer Science in 2007 from the University of Magdeburg. His academic journey includes: Ph.D. in Computer Science, University of Magdeburg (2007) Emmy-Noether Fellowship of the German Research Foundation Heisenberg Professorship of the German Research Foundation Prof. Apel's research centers on empowering software engineering practice to enter an era of intensive automation. His key research areas include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and empirical and neurophysiological methods. He pays special attention to the human factor and interdisciplinary research questions, applying his findings to real-world software systems from both open-source projects and industry collaborations with partners like Siemens AG, Bosch Engineering, and Airbus Helicopters. Analysis of Prof. Apel's recent publications reveals a strong focus on configurable software systems, neurophysiological approaches to understanding programming, and the application of AI techniques to software engineering problems. His work often bridges the gap between theoretical foundations and practical applications, with many studies involving industrial collaborations. There's a noticeable trend toward interdisciplinary research combining software engineering with neuroscience, organizational studies, and machine learning. Prof. Apel has received numerous prestigious awards and honors: ERC Advanced Grant "Brains On Code" (2022) ACM Distinguished Member for "Outstanding Scientific Contributions to Computing" (2018) Multiple Most Influential Paper Awards (SPLC'18, ICPC'22, GPCE'23) Multiple Best Paper Awards (SPLC'11, Modularity'15, AOM'18) Heisenberg Professorship and Emmy-Noether Fellowship from the German Research Foundation Prof. Apel has advised numerous Ph.D., Master's, and Bachelor's students throughout his career. His research has been generously funded by multiple grants including an ERC Advanced Grant (2,500,000 Euro, 2022-2027), several DFG projects (CPEC, Congruence, Pervolution), and previous grants like SafeSPL, FeatureFoundation, and Pythia. His work has practical impact through collaborations with industry partners including Siemens AG, Bosch Engineering, and Airbus Helicopters. Prof. Apel leads research in the Chair of Software Engineering at Saarland University, where his team explores the intersection of software engineering, neuroscience, and artificial intelligence. His "Brains On Code" ERC project specifically investigates how programmers' brains process code using neuroimaging techniques. The research group maintains strong connections with both academic and industry partners, facilitating the transfer of research findings into practical applications.

Wei Chenمشاهده پروفایل

استاد

• Software Engineering
• Intelligent Software Engineering
• Network Distributed Computing
• +۶ مورد دیگر

Wei Chen is a Research Fellow at the Institute of Software, Chinese Academy of Sciences, where he serves as a PhD and Master's supervisor. He leads the Software Engineering Technology R&D Center and maintains affiliations with the University of Chinese Academy of Sciences and its Nanjing College. Dr. Chen has established himself as a leading figure in intelligent software engineering research within China's academic community. His primary research focuses on four interconnected areas: intelligent code maintenance and quality assurance (particularly Python ecosystem compatibility based on domain knowledge), reliability assurance of complex IoT systems in human-machine-object convergence scenarios, cloud-native system development with emphasis on Function-as-a-Service optimization, and quality assurance of deep learning frameworks in resource-constrained environments. Dr. Chen's work consistently bridges theoretical advances with practical applications, maintaining strong industry collaborations with major Chinese technology companies. Analysis of Dr. Chen's recent publications reveals a strategic integration of AI techniques with traditional software engineering challenges. His research shows increasing emphasis on leveraging large language models for IoT component synthesis, sophisticated dependency management solutions for Python ecosystems, and innovative approaches to testing autonomous systems. The work demonstrates both theoretical depth and practical utility, with many publications leading to implemented tools and systems. Second Prize of Science and Technology Progress Award of China Institute of Electronics (2022) First Prize of Science and Technology Progress Award of China Institute of Electronics (2021) ACM SIGSOFT Distinguished Paper Award (2023) Special Prize of the 4th China Software Open Source Innovation Competition (2021) First Prize in the 4th China Software Open Source Innovation Competition (2021) OW2 Programming Contest First Prize (2016) Dr. Chen has mentored over ten graduate students who have achieved notable success in academic competitions and industry placements. His laboratory (TCSE, http://tcse.cn/) currently manages multiple significant research projects including 'Complex IoT System Reliability Assurance Key Technology Research' (2025-2028), 'Intelligent Development, Testing, and Maintenance of Cloud-native Software Ecosystems' (2024-2027), and 'Traffic Infrastructure Digital Industrial Software Architecture and Core Technology Standard System' (2021-2024). The lab maintains active collaborations with Huawei, Alibaba, Tencent, and other leading technology enterprises.

Michael Mayleمشاهده پروفایل

استاد پژوهشی

• Computational Physics
• Sensor Technologies
• Ultracold Quantum Gases
• +۲ مورد دیگر

Michael Mayle is a Research Professor for Applied Computational Physics at Nuremberg University of Applied Sciences. He serves as a member of the Doctoral Center for Physical and Biomedical Engineering (CPaB) and holds a deputy position on the CPaB doctoral committee. His office is located at space KA.434, with contact details including phone +49 (0)911 5880-1309 and email michael.mayle@th-nuernberg.de. His research centers on Computational Physics with specialized focus in Sensor Technologies , Ultracold Quantum Gases , and Acoustics . He leads the Computational Physics for Sensor Technologies research group, developing advanced computational models for physical systems with direct applications in sensor design and analysis. His work bridges theoretical physics with practical engineering solutions. Analysis of his publication trajectory (2006-2025) reveals a distinct evolution from fundamental quantum research to applied sensor technology. Early work (2006-2013) established expertise in ultracold molecules and Rydberg atom physics, while recent publications (2019-2025) demonstrate a strategic pivot toward industrial applications including piezoelectric material analysis, ultrasonic flow metering, and water consumption pattern recognition. Professor Mayle actively contributes to doctoral education through the CPaB framework and teaches core courses including Simulation of Physical Systems (Continuum Mechanics) for M-AMP, Physics (Oscillations and Waves) for B-MED, and Building Physics for B-EGT/B-BI programs. His research group maintains strong industry connections through sensor technology development and applied computational modeling projects.

Ole Kjærulffمشاهده پروفایل

دانشیار

• Neuroscience
• Molecular Biology
• Synaptic Transmission
• +۵ مورد دیگر

Ole Kjærulff is an Associate Professor in the Department of Neuroscience at the Faculty of Health and Medical Sciences, University of Copenhagen. His research primarily focuses on molecular mechanisms of cell communication in the nervous system, with particular emphasis on synaptic transmission processes and axonal transport. Dr. Kjærulff's research laboratory investigates how cells in the nervous system communicate with each other, with specific interest in synaptic transmission where nerve cells communicate by releasing signaling molecules (neurotransmitters) at specialized contact points called synapses. His current research focuses on peptides as signaling molecules, which consist of short amino acid chains. His team examines how dense core vesicles containing neuropeptides circulate in neurons' long extensions (axons) and are released at synapses. A key aspect of his work involves uncovering the molecular basis of axonal transport, which is disrupted in many neurodegenerative diseases. He has also conducted significant research on the endophilin protein, critical for maintaining prolonged synaptic activity, and studied communication between nerve cells and glial cells (support cells in the nervous system), analyzing how disruptions in this communication can increase the risk of brain cancer. Analysis of Dr. Kjærulff's publication history reveals a consistent focus on molecular neuroscience, particularly on protein function related to cellular trafficking and signaling. His work spans from basic molecular mechanisms of vesicle transport to implications for human diseases like diabetes and neurodegenerative disorders. A recurring theme is the role of specific proteins (particularly PICK1 and Rab2) in cellular processes relevant to neurological and metabolic conditions. His research combines genetic approaches in Drosophila with molecular and cellular techniques to elucidate fundamental biological processes with translational relevance. Dr. Kjærulff has held prestigious external positions including Postdoctoral Research Fellow at the Howard Hughes Medical Institute (2002) and Marie Curie Research Fellow at Karolinska Institutet (1999-2001). His laboratory utilizes Drosophila (fruit fly) as an experimental model due to its refined and efficient genetic methods, with findings having significant relevance for understanding similar processes in the human system. The Kjærulff Lab operates within the Neuropharm and Genetics research unit at the University of Copenhagen, maintaining active research programs in molecular neuroscience with connections to human disease mechanisms. His team's work has attracted media attention, with coverage in outlets discussing potential causes of growth retardation, obesity, and diabetes.