جستجوی استاد راهنمای دانشگاهی

Dave Levinمشاهده پروفایل

دانشیار

• Networking
• Security
• Cybersecurity
• +۵ مورد دیگر

Dave Levin is an Associate Professor at the University of Maryland with a joint appointment in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS) . His research focuses on network security , Internet censorship avoidance , and PKI analysis , combining empirical measurement with cryptographic and economic approaches to system design. Recent research trends include certificate revocation systems (e.g., CRLite), geographic traffic evasion (Alibi Routing), and large-scale network measurement of DNS root servers. His work often involves undergraduate research groups through the Breakerspace lab, which he founded to scale cybersecurity education. Scientific awards include Best Paper Honorable Mention at ACM CCS 2022 and the Internet Defense Prize (2021). Teaching includes graduate security courses (CMSC 614) and undergraduate honors seminars (CMSC 396H). Service involves chairing conferences like ACM IMC 2021 and reviewing for IEEE S&P 2023.

Samuel Shueمشاهده پروفایل

استادیار

• Robotics
• Embedded Systems
• Wireless Sensor Networks

Samuel Shue is a Teaching Assistant Professor in the Department of Electrical and Computer Engineering at the University of North Carolina Charlotte. His research focuses on Robotics, Embedded Systems, and Wireless Sensor Networks, with a particular emphasis on RSSI localization techniques and wireless communication frameworks. Ph.D., University of North Carolina Charlotte, 2017 M.Sc., University of North Carolina Charlotte, 2015 B.Sc., University of North Carolina Charlotte, 2014 Shue's research explores the intersection of robotics and wireless sensor networks, including: Signal processing for localization accuracy XBee-based communication protocols Portable embedded system frameworks Procedural simulation environments His publications (2013-2017) demonstrate expertise in Kalman filter applications, wireless mesh networking, and open-source development platforms. Key collaborations include James M. Conrad and Andrew R. Willis. For direct contact, email slshue@charlotte.edu or call 704-687-5885.

• Data-Driven Decision-Making
• Industrial Statistics
• Reliability Engineering
• +۳ مورد دیگر

Qiuzhuang Sun is a Lecturer in the School of Mathematics and Statistics at the University of Sydney. His research focuses on data-driven decision-making, industrial statistics, and reliability engineering, with applications in healthcare, transportation, and sustainable urban systems. Alma Mater: Joint B.Eng. in Industrial Engineering and Computer Science from Shanghai Jiao Tong University; Ph.D. in Industrial Systems Engineering from National University of Singapore His research interests include: Data-Driven Decision-Making for healthcare, emergency response, and preventive maintenance Applied data science and machine learning for transportation data, clinical data, and megacity sustainability Reliability engineering with emphasis on anomaly detection, degradation modeling, and prognostic health management Recent publications highlight advancements in degradation modeling, robust optimization, and healthcare system design, reflecting interdisciplinary collaborations in industrial engineering, statistics, and biomedical research. His work aligns with the Faculty of Science's research strengths in Data and Decisions, Precision Health, and Sustainable Systems. Scientific accolades include: Finalist, IISE Data Analytics & Information Systems Case Study Competition (2024) First Place, INFORMS Blue Summit Supplies Data Mining Challenge (2023) Best Student Paper Award, INFORMS Society on Location Analysis (2023) Best Paper Award, INFORMS Conference on Quality, Statistics, and Reliability (2023) Winner, INFORMS QSR Industrial Data Challenge Competition (2022) ISE Magazine Featured Article (2020) Excellent Paper Award, Operations Research Society of China Reliability Chapter (2019) He supervises students in projects related to reliability engineering and data-driven decision-making. His work integrates statistical modeling, machine learning, and industrial systems optimization.

• Semantic Web
• Digital Libraries
• Software Engineering
• +۷ مورد دیگر

Gioldasis Nektarios is a Lecturer in the School of Electronic and Computer Engineering at the Technical University of Crete , affiliated with the Distributed Information Systems and Applications Laboratory (TUC/MUSIC) . He has been a permanent member of the laboratory since 2006 and has contributed to numerous Research & Development projects. MSc in Informatics, School of Electronic and Computer Engineering, Technical University of Crete (2002) BSc in Applied Informatics, University of Macedonia (1999) His research interests span critical domains including: Semantic Web technologies and Open Linked Data Software engineering for Service Oriented and Multi-Tier Architectures Data modeling, metadata management, and semantic interoperability Digital libraries and multimedia management systems The article portfolio demonstrates expertise in XML-Semantic Web integration, query mediation, and cultural data systems, with a 2023 publication on location-based game platforms. Key trends include: Interoperability frameworks (2015-2012) Ontology-driven data access (2010-2009) Geospatial and cultural heritage applications (2011-2007)

Martin Loeblمشاهده پروفایل

استاد

• Discrete Mathematics
• Graph Theory
• Combinatorial Optimization
• +۱۰ مورد دیگر

Professor Martin Loebl is a distinguished academic at the Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University in Prague. His extensive teaching portfolio includes Discrete and Continuous Optimization, Linear Programming, Nonlinear Optimization, Game Theory for intelligent networks, and Linear Algebra. His office is located in room S 325 on the 3rd floor in Lesser Town, Malostranské nám. 2/25, Prague 1. Loebl's research spans the breadth of discrete mathematics with particular emphasis on graph theory, combinatorial optimization, and applications to statistical physics. His work bridges theoretical mathematics with practical applications in network optimization, market equilibria, and critical distribution systems. He has made significant contributions to Kasteleyn theory, dimer models, Ising model applications, matroid theory, and matching theory. Analysis of his recent publications reveals a strong focus on the intersection of discrete mathematics with economic and social systems. His work increasingly addresses real-world challenges such as resource allocation during crises, market design, and fair division problems. The publications demonstrate sophisticated applications of graph theory and combinatorial optimization to game-theoretic models and distribution systems, with growing emphasis on practical implementations of theoretical frameworks. Scientific Awards: Prize of Rector of Charles University for the book 'Topics in Discrete Mathematics: Dedicated to Jarik Nešetřil on the Occasion of his 60th birthday' Professor Loebl coordinates the H2020-MSCA-RISE-2018 project 'Combinatorial Structures and Processes (CoSP)' and previously coordinated the Czech Ministry of Interior's 'Critical Distribution System (CRISDIS)' project motivated by the COVID-19 pandemic. His research has practical applications in winter road maintenance routing, market equilibria design, and critical goods distribution systems. He maintains an active research laboratory focused on discrete mathematics applications, with particular emphasis on translating theoretical results into practical algorithms for optimization problems in network design, resource allocation, and market mechanisms. His group has produced significant work on dimer models, Kasteleyn orientations, and their applications to statistical physics problems.

Olivier Gauwinمشاهده پروفایل

استادیار

• Automata Theory
• Formal Languages
• Logic in Computer Science
• +۶ مورد دیگر

Olivier Gauwin serves as an Assistant Professor at the University of Bordeaux, holding dual roles in academic instruction and research. He teaches within the Computer Science Department at the University Institute of Technology (IUT), while conducting research as a core member of LaBRI's Numeric and Sustainability team. His institutional presence spans both the IUT campus in Gradignan (office 111) and LaBRI's research facilities in Talence (office 311), reflecting his integrated contributions to theoretical computer science and applied sustainability initiatives. His educational trajectory demonstrates deep theoretical foundations: Habilitation à diriger des recherches (HDR) from University of Bordeaux (2020) titled Transductions: resources and characterization PhD in Computer Science from Université Lille 1 (2009) titled Streaming Tree Automata and XPath , conducted at LIFL/INRIA Master's degree (DEA) from Centre de Recherche en Informatique de Lens (2004) titled Fusion itérée de croyances Gauwin's research program bridges abstract theory and practical applications, with early work establishing fundamental results in automata theory for XML stream processing. His investigations into visibly pushdown automata, nested words, and transducers created novel frameworks for efficient query answering in data streams. Recent years show strategic expansion into sustainability, where he adapts formal methods to environmental modeling challenges. This evolution maintains rigorous theoretical grounding while addressing contemporary computational sustainability needs through the Numeric and Sustainability team. Analysis of his 15 most recent publications reveals consistent methodological excellence across theoretical computer science. Core themes include automata minimization (notably proving NP-completeness for visibly pushdown automata), logical characterizations of transductions, and streamability analysis for nested structures. His work demonstrates exceptional coherence—advancing from foundational XML processing (2008-2013) to resource-optimized transducers (2015-2018) and current sustainability applications, always maintaining focus on computational efficiency and formal verifiability. Dr. Gauwin actively mentors the next generation of computer scientists: Supervised PhD completion of Nathan Lhote (2015-2018) on logical characterizations of transductions Guided PhD research of Félix Baschenis (2014-2017) on transducer minimization and resource optimization His research is institutionally supported through LaBRI (UMR 5800), a joint CNRS-University of Bordeaux laboratory, though specific external grants aren't detailed in available materials. Current work continues through the Numeric and Sustainability team, where he integrates automata theory with environmental computation challenges in collaborative projects spanning theoretical innovation and real-world sustainability applications.

Richard Hollandمشاهده پروفایل

استاد

• Animal Navigation
• Sensory Biology
• Neuroethology
• +۱۲ مورد دیگر

Professor Richard Holland of Bangor University's School of Environmental and Natural Sciences is a leading researcher in animal navigation and sensory biology. His work spans cognitive processes in migratory birds, bats, and bees, with particular focus on magnetic field detection and spatial memory mechanisms. 2020–Present: Professor in Animal Behaviour, Bangor University 2017–2020: Senior Lecturer, Bangor University 2011–2016: Lecturer, Queen's University Belfast His research integrates neurobiology, molecular biology, and physics to understand environmental cue detection. Recent projects include magnetic navigation in bees (with National Grid and Queen Mary University of London) and sensory pollution impacts on wildlife. Key funding includes BBSRC, NERC, and Leverhulme Trust grants. Migratory bird magnetic declination studies (Chernetsov et al. 2017) Bat magnetite-based compass discovery Goldfish social learning experiments Homing pigeon aging research Scientific awards include DAAD Scholarship (2024), KESS II PhD funding (2020), and SNSF fellowship (2024). Current lab members: Sara Bariselli (PhD), Noah Church (MScRES). Former students include Dr. Charlotte Griffiths (PhD) and Dr. Oliver Lindecke (Marie Skłodowska-Curie Fellow).

Farshid Agharebparastمشاهده پروفایل

دانشیار

• Data Communications
• Mobile Computing
• Wireless Networks
• +۳ مورد دیگر

Farshid Agharebparast serves as an Associate Professor Teaching in the Department of Electrical and Computer Engineering at the University of British Columbia's Faculty of Applied Science. His academic career is anchored in data communications networks and mobile computing, with active contributions to the Communication Systems Research Group specializing in Data Communications. Education: BSc, University of British Columbia MASc, University of British Columbia PhD, University of British Columbia Dr. Agharebparast's research explores stochastic network calculus applications for wireless performance evaluation, cross-layer design in fading channels, and QoS provisioning. His work bridges theoretical frameworks like min-plus algebra with practical challenges in 4G handover privacy, bandwidth allocation in WiMAX, and traffic shaping for unreliable channels. These investigations address critical needs in next-generation mobile infrastructure where latency guarantees and resource efficiency are paramount. His teaching encompasses core engineering subjects including Circuit Analysis (ELEC 201), Operating Systems (CPEN 331), Computer Networking (ELEC 331, CPEN 400N), and multiple design studio courses (ELEC 291, CPEN 291). This portfolio demonstrates deep engagement with both foundational theory and hands-on implementation across electrical and computer engineering curricula. Scientific Awards: No awards documented in source materials Through design studio courses and undergraduate teaching assistantships, Dr. Agharebparast mentors emerging engineers in practical system development. His publication trajectory from 2001-2022 indicates sustained research activity in network performance modeling, though specific grant funding details remain unreported. His work consistently targets real-world wireless challenges including video streaming optimization and privacy-preserving mobility management. Affiliated with UBC's Communication Systems Research Group, he contributes to a collaborative ecosystem focused on data communications innovation. Current investigations appear centered on stochastic performance bounds for modern wireless architectures, extending his two decades of scholarship in network calculus applications.

Arne Schmitzمشاهده پروفایل

پژوهشگر

• Radio Wave Propagation
• Computer Graphics
• Wireless Network Simulation
• +۳ مورد دیگر

Dr. Arne Schmitz is a researcher at the Department of Computer Science, RWTH Aachen University, specializing in computational methods for wireless communications and computer graphics. His work bridges radio wave propagation physics with advanced visualization techniques, focusing on practical applications for mobile network planning and mobile device interfaces. His primary research domains include: Radio wave propagation modeling in urban environments GPU-accelerated beam/ray tracing algorithms Antenna pattern compression using spherical harmonics Real-time 3D visualization for resource-constrained mobile devices Ad-hoc multi-display systems for collaborative mobile applications Analysis of his publication timeline reveals an evolution from foundational radio propagation models (2006) toward increasingly sophisticated urban simulation frameworks (2011-2012), with consistent emphasis on computational efficiency. His most impactful contributions integrate computer graphics rendering techniques with telecommunications engineering, particularly in adapting beam tracing for radio wave simulation and developing novel mobile visualization paradigms that overcome hardware limitations through client-server architectures. Dr. Schmitz maintains a strong collaborative relationship with Professor Leif Kobbelt and colleagues at RWTH Aachen, with co-authorship appearing in 9 of his 10 documented publications. His research demonstrates consistent funding support through participation in IEEE and ACM conferences, though specific grant details are not disclosed in the available materials.

William N. Caballeroمشاهده پروفایل

استادیار

• Decision Support Systems
• Statistical Modeling
• Mathematical Optimization
• +۵ مورد دیگر

Dr. William N. Caballero is an Assistant Professor of Data Science in the Department of Operational Sciences at the Air Force Institute of Technology (AFIT). His research focuses on developing statistical and mathematical models for decision support in uncertain, multi-agent environments, with applications in defense and security. Methodologically, his work integrates deterministic/stochastic optimization, Bayesian analysis, and interpretable machine learning. Education: Doctor of Philosophy in Operations Research, Air Force Institute of Technology (2019) Master of Science in Operations Research, Air Force Institute of Technology (2017) Bachelor of Science in Industrial Engineering, University of Houston (2011) Research Interests: His interdisciplinary research bridges statistics and operations research, emphasizing Bayesian decision analysis for security problems and modern data science applications in defense contexts. Primary domains include adversarial risk analysis, security games, ethical AI systems, automated driving technologies, and military personnel training optimization. Publication Trends: Recent articles demonstrate strong focus on machine learning applications in national security (LLMs, pilot selection), adversarial modeling (security games, data poisoning), and autonomous systems (driving mode management, ethical frameworks). Methodological innovations frequently combine Bayesian approaches with optimization techniques. Awards and Honors: Seiler Award for Mathematical Sciences Research (2023) Finalist for Clemen-Kleinmuntz Decision Analysis Best Paper (2022) USAF-MIT AI Accelerator Datathon: 5 awards including Overall Winner (2021) Multiple Field/Company Grade Officer of the Quarter awards (2013-2024) Distinguished Graduate honors (AFIT, OTS, Squadron Officer School) General Omar Nelson Bradley Fellowship (2018) Inductee to Omega Rho and Tau Beta Pi honor societies

• History
• Modern History
• Ottoman-Venetian Trade Relations
• +۳ مورد دیگر

Özgür Oral is an Associate Professor at Istanbul University's Faculty of Literature, Department of History , specializing in Ottoman-Venetian trade and diplomatic relations . His career spans roles as a Research Assistant (2006-2018) , Assistant Professor (2018-2023) , and Director of the Center (2023-continues) . He has served as Erasmus Program Institutional Coordinator (2009-2024) and contributed to academic governance. Education: Doctorate and postgraduate studies in Modern History at Istanbul University (2004-2017), undergraduate in History (1997-2001). Research Focus: Ottoman Mediterranean trade systems, Venetian-Ottoman diplomatic protocols, maritime taxation, and historiographical practices. His work examines economic enforcement mechanisms, piracy regulations, and cross-cultural exchange frameworks. Recent Publications analyze treaty dynamics (1573 Ahdname), archival plagiarism (Edirne Incident), and commercial tariffs (Izmir 1763). Themes include diplomatic law , maritime sovereignty , and pre-industrial trade networks . Scientific Awards: Overseas Research Scholarship (2010-continues). Conference Participation includes symposia on Ottoman military history (2019), Passarowitz anniversary (2018), and maritime history workshops (2014-2019).

Lonnie Parkerمشاهده پروفایل

پژوهشگر

• Autonomy
• Collaborative Robotics
• Robotics
• +۵ مورد دیگر

Lonnie Parker is the Collaborative Autonomy Branch Chief in the Robotics and Autonomous Systems Division of the ATAS Laboratory at Georgia Tech Research Institute (GTRI). As a Senior Research Scientist and Principal Investigator for multiple programs, he specializes in designing collaborative behaviors for unmanned systems in maritime and air domains. With over 10 years of experience managing DoD-sponsored projects, his career includes 7 years at NUWC Division Newport conducting maritime autonomy research through ONR-funded initiatives. Education: Ph.D. in Electrical & Computer Engineering, Georgia Institute of Technology (2012) M.S. and B.S. in Electrical Engineering, Rochester Institute of Technology (2006) Research Focus centers on: Collaborative autonomy algorithms for multi-robot systems Adaptive navigation protocols in resource-constrained environments Geo-physical terrain modeling for autonomous surveying Human-multi-robot teaming dynamics Research Trends from his publications show expertise in: Autonomous navigation optimization Distributed sensor networks Multi-agent communication protocols Environmental modeling for robotics Laboratory Affiliation: The Aerospace, Transportation & Advanced Systems Laboratory (ATAS Lab) at GTRI serves as his primary research platform.

• Pharmacology
• Analytical Chemistry
• Veterinary Medicine
• +۴ مورد دیگر

Ulf Bondesson is a Visiting Professor in the Department of Medicinal Chemistry, Analytical Pharmaceutical Chemistry at Uppsala University. His work focuses on pharmacology, veterinary medicine, drug metabolism, and doping control, employing advanced analytical techniques like mass spectrometry and liquid chromatography. Key collaborations: Mikael Hedeland, Curt Pettersson, Heather K. Knych Research areas: Equine drug metabolism, SARM detection, arginine pathway in cardiovascular disease His recent publications analyze metabolite profiling of selective androgen receptor modulators (SARMs) in horses, pharmacokinetics of antibiotics in swine, and arginine-related biomarkers in preeclampsia. Studies often integrate high-resolution mass spectrometry , multivariate data analysis , and comparative in vitro/in vivo models . Notable trends include: improved doping control protocols , cross-species metabolite prediction , and pharmacokinetic modeling in veterinary contexts . Techniques like Cunninghamella elegans biotransformation and TEMPO derivatization are recurrent themes.

• Maritime Safety
• Search and Rescue Operations
• Human Factors in Naval Operations
• +۳ مورد دیگر

Fredrik Forsman is an Instructor at the Maritime Human Factors Unit of Chalmers University of Technology. He also serves as Head of Training at the Swedish Sea Rescue Society, where he develops training frameworks for maritime rescue crews. University: Chalmers University of Technology School: School of Maritime Studies Role: Instructor (Faculty), Head of Training (Swedish Sea Rescue Society) Research Focus includes maritime safety, human factors in extreme environments, and adaptive training methodologies. His work addresses: High-speed navigation and cognitive performance Team coordination in search and rescue Information architecture for fast response crafts Emergency response systems in Arctic conditions Simulation technology for maritime training Interoperability in littoral operations Notable Projects include: Eyes on Scene 2 (2023–2025): Drone-assisted sea rescue PICASSO (2016–2018): Safer ships on oceans SMACS (2012–2014): Arctic emergency response Publications span maritime ergonomics, command systems, and training innovations, with recent trends focusing on AI integration and sustainability in maritime operations.

• Medical Education
• Neonatology
• Clinical Research
• +۴ مورد دیگر

Zubair Amin is an Associate Professor at the Yong Loo Lin School of Medicine , National University of Singapore, specializing in Paediatrics and Neonatology. With dual appointments as Senior Consultant at the National University Health System and Senior Consultant in Neonatology at National University Hospital since 2012, he combines clinical expertise with academic leadership. Master of Health Professions Education (University of Illinois at Chicago, 1998) Diplomate, American Board of Paediatrics (1997) Research Contributions span two distinct phases: (1) Medical Education Innovation (1998-2012) where he led curriculum reforms including the geriatric module and technology-enabled assessment , and (2) Clinical Neonatology Research (2018-present) focusing on antenatal steroid therapy , NICU infection control , and quality of care metrics like PRECIOUS. Key Research Areas include Optimizing antenatal steroid dosing for preterm infants Development of parent-reported quality of care instruments Waterless ICU infection prevention strategies Global neonatal health outcomes through AsianNeo collaboration Teaching Philosophy emphasizes learner-centered pedagogy , tiered faculty development , and curriculum modernization . He has conducted over 50 educational workshops across 15 countries, advocating structured medical education frameworks that balance didactic instruction with experiential learning. Current Research Grants include $850,000 NMRC Population Health Research Grant for ECC prevention (Site PI, NUH) $250,000 MOE Tier 1/NUHS Seed Fund for low-dose antenatal steroids (Co-I) $250,000 MOE Tier 1/NUHS Seed Grant for pump-free ECMO system development (PI) Clinical Innovations feature First documented waterless NICU implementation (J Hosp Infect 2025) Global consensus on technology in assessment (Med Teach 2024) Low-dose steroid regimens reducing neurodegenerative risks (BMC Med 2024)