جست‌وجوی استاد و پژوهشگر

James M. Walkerمشاهده پروفایل

استاد

• Experimental Economics
• Public Goods
• Common-Pool Resources
• +۳ مورد دیگر

James M. Walker serves as Professor in the Department of Economics at Indiana University Bloomington's College of Arts and Sciences, with office location in Wylie Hall 240 and contact email walkerj@iu.edu. Education: Ph.D. in Economics, Texas A & M University (1978) Professor Walker specializes in experimental methodologies examining individual and group dynamics in public goods provision and common-pool resource systems. His research bridges experimental economics, environmental resource management, and behavioral game theory, with particular focus on social dilemmas and institutional design for sustainable resource governance. His work demonstrates how controlled laboratory experiments reveal fundamental patterns in human cooperation and strategic decision-making under scarcity. Analysis of his recent publications shows consistent focus on experimental validation of theoretical models in resource economics, particularly examining how probabilistic risks affect appropriation behavior and how repetition influences cooperation in public goods contexts. These studies contribute to designing more effective resource management institutions through empirical evidence. Awards and Honors: Indiana University Student Choice Award for teaching excellence Faculty Colloquium on Excellence in Teaching (FACET) selection James P. Holland teaching award from College of Arts and Sciences Professor Walker maintains active research in experimental economics methodology with significant contributions to understanding collective action problems, though no current grant funding or student advising details were specified in source materials. His work continues to influence both theoretical frameworks and practical policy applications in resource economics.

Sajjad Fattaheian Dehkordiمشاهده پروفایل

پژوهشگر

• Power Systems Engineering
• Smart Grids
• Renewable Energy Integration
• +۳ مورد دیگر

Sajjad Fattaheian Dehkordi is a Postdoctoral Researcher in the Department of Electrical Engineering and Automation at Aalto University, Espoo, Finland. His research focuses on advanced energy management systems for modern power grids, with emphasis on distributed and transactive control approaches for resilient and efficient grid operations. His core research interests include: Power system resilience under high renewable penetration Microgrid and energy community optimization Distributed energy resource integration Electric vehicle-grid interaction and V2G systems Real-time congestion and ramping management Analysis of his 2022-2024 publications reveals a dominant trend toward multi-agent transactive frameworks addressing grid stability challenges. His work consistently targets voltage regulation, asymmetrical power flows, and ramping events in distribution systems, leveraging optimization techniques like MILP while incorporating flexibility concepts for renewable integration. Key innovations include distance-driven P2P/P2G transactions and incentive-based congestion management. No scientific awards are documented in the available records. Information regarding student advising, research grants, or leadership roles is not provided in current documentation.

• Shape Optimization
• Numerical Analysis
• Integro-Partial Differential Equations
• +۳ مورد دیگر

Peter Philip is a Senior Lecturer at the Department of Mathematics, Faculty of Mathematics, Computer Science, and Statistics of Ludwig-Maximilians University Munich. His career since 2008 at LMU includes research in shape optimization and numerical analysis of integro-partial differential equations, with prior roles at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and the Institute for Mathematics and its Applications (IMA). He has taught extensively across mathematics disciplines and led software development for crystal growth simulations. Positions: Academic Senior Counselor (2013–present), Academic Counselor (2008–2013), Industrial Postdoctoral Fellow (2004–2006), Research Associate (1997–2004) Education: Habilitation (2012) and Ph.D. (2003) in Mathematics from LMU Munich and Humboldt University Berlin, respectively; Diplom in Mathematics (1997, with excellence) from Free University Berlin Research Interests: His work focuses on Shape optimization via control of integro-partial differential equations Conductive-radiative heat transfer analysis and control Crack propagation modeling using energy functional minimization Numerical simulation of semiconductor crystal growth processes Finite volume methods for anisotropic and complex geometries Optimal control of electromagnetic heating systems Publications: He has published extensively in applied mathematics journals, with key contributions to conductive-radiative heat transfer, sublimation growth of SiC crystals, and crack propagation models. His work bridges theoretical analysis, numerical implementation, and industrial applications. Teaching: Since 2008, he has taught courses such as Numerical Mathematics, Analysis, Linear Algebra, and Axiomatic Set Theory, with a teaching load of 13 hours per week. His lectures include both foundational and advanced topics, supported by freely downloadable lecture notes.

Lei Xuمشاهده پروفایل

دانشیار

• linear and nonlinear nanophotonics
• optoelectronics meta-devices
• nanostructure-enabled low-carbon technologies (solar energy harvesting)
• +۳ مورد دیگر

Lei Xu is an Associate Professor at the Department of Engineering, School of Science & Technology, Nottingham Trent University. He leads research in the Advanced Optics and Photonics Group (www.aoplab.com) and serves as Associate Editor for Nonlinear Optics in Frontiers in Photonics . PhD in Optics (2014), Nankai University, China Postdoctoral experience at Australian National University, University of New South Wales His research spans multiple areas of nanophotonics and meta-devices, including: Energy harvesting via resonant meta-optical systems (solar cell enhancement, infrared imaging) Flat optical devices using metasurfaces for advanced nanotechnology Bio-photonics applications in diagnostics and wearable sensors Tunable meta-devices for precision light manipulation Recent publications focus on high-Q resonators, quasi-BIC states, and nonlinear frequency generation in dielectric platforms. He contributes to editorial boards of journals like ACS Nano and Nano Letters .

• Control Charts
• Measurement Error
• Performance Measure
• +۵ مورد دیگر

Hamed Sabahno serves as a Senior Lecturer in the Department of Statistics at Lund University, Sweden. His academic profile is centered on advanced statistical methodologies with applications in engineering and quality control systems. His research spans statistical process control , speckle pattern analysis , and multivariate monitoring systems . Key focus areas include adaptive control charts, measurement error correction, and image-based displacement measurement techniques. His work bridges theoretical statistics with practical industrial applications, particularly in non-destructive testing and quality engineering. Recent publications demonstrate strong emphasis on Real-time process monitoring using optical methods Multivariate regression profile control Statistical refinement in speckle-based measurements Adaptive parameter systems for quality assurance His fingerprint analysis confirms dominance in Control Charts (100%) and Measurement Error (55%) research domains. Professional engagement includes ORCID registration (0000-0002-5618-887X) and active publication in high-impact journals including Scientific Reports and Quality and Reliability Engineering International . His research has attracted attention from 5 Mendeley readers and coverage in 1 news outlet.

• Deductive Verification
• Interactive Theorem Proving
• Automated Reasoning
• +۴ مورد دیگر

Yong Kiam Tan is a research scientist at the Institute for Infocomm Research (A*STAR, Singapore) and holds a joint appointment as a Nanyang Assistant Professor at the College of Computing and Data Science, Nanyang Technological University (NTU, Singapore). He earned his PhD in Computer Science (Pure and Applied Logic) from Carnegie Mellon University, supported by a National Science Scholarship (BS-PhD) from A*STAR, Singapore. His research focuses on Deductive verification and interactive theorem proving Applications in automated reasoning, compilers, formalized mathematics, hybrid systems, and cybersecurity (cryptography) Development of verified tools like the CakeML compiler and KeYmaera X for hybrid systems His recent work spans formal verification of machine learning models, cryptographic protocols, and hybrid systems, with a strong emphasis on tool development and practical applications. Notable trends include integrating theorem proving with SAT solving and model-counting techniques for security verification. Scientific awards include: CMU SCS Distinguished Dissertation Award 2022 Distinguished Paper Award at CAV 2024 Best Paper and Best Repeatability Evaluation Awards at HSCC 2022 Peter Landin Prize at IFL'15 Best Tool Paper Award at FM'19 He actively recruits students and postdocs for fully funded positions at NTU and A*STAR, and collaborates with researchers such as Wei-Lin Wu (A*STAR) Joe Watt (A*STAR) Ciaran McCreesh (University of Glasgow) Magnus Myreen (Chalmers University)

Natalia Koptevaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Applied Mathematics
• +۳ مورد دیگر

Natalia Kopteva is a Full Professor (Chair) in Applied Mathematics at the Department of Mathematics and Statistics, University of Limerick, Ireland. She holds a Ph.D. and M.Sc. in Computational and Applied Mathematics from Moscow State University. Her career includes academic positions at Moscow State University, University College Cork, and University of Strathclyde. Education: M.Sc. in Applied Mathematics, Lomonosov Moscow State University Ph.D. in Computational Mathematics, Lomonosov Moscow State University Her research focuses on numerical analysis of partial differential equations , particularly time-fractional and singularly perturbed subdiffusion equations , with emphasis on a posteriori error estimation , adaptive discretization methods , and maximum norm analysis . She has contributed to discontinuous Galerkin methods and Green's function estimates for convection-diffusion problems. Recent publications highlight trends in graded meshes for fractional calculus, pointwise error bounds , and time stepping adaptation for non-smooth data. Her work bridges applied mathematics and computational science with applications in reaction-diffusion systems and convection-diffusion equations . She serves as editor for SIAM Journal on Numerical Analysis and Advances in Computational Mathematics , and has held editorial roles for 8 international refereed journals. Additional affiliations include membership in the Centre for Research Training in Foundations of Data Science and the Mathematics Applications Consortium for Science and Industry (MACSI) .

• Biostatistics
• Survival Analysis
• Pharmacoepidemiology
• +۵ مورد دیگر

Michal Abrahamowicz, PhD is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and Professor in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University's Faculty of Medicine and Health Sciences. He is affiliated with the Cardiovascular Health Across the Lifespan Program and the Centre for Outcomes Research and Evaluation (CORE) at RI-MUHC. His research focuses on developing innovative statistical methodologies for clinical and biomedical data analysis, particularly in survival analysis. Key areas include modeling time-varying and cumulative effects of risk factors and treatments, and addressing biases in observational studies. He co-founded and co-chairs the international STRATOS initiative (www.stratos-initiative.org), involving over 100 statisticians from 18 countries, aimed at improving analyses of observational studies. From 2011-2019, he served as Principal Investigator of the CAN-AIM network, funded by the Canadian Institutes for Health Research, which brought together over 45 faculty members from 12 Canadian universities for drug safety and effectiveness research. His recent publications demonstrate a strong focus on methodological advances in biostatistics, particularly in survival analysis, causal inference, and flexible modeling techniques. His work spans applications in cardiovascular diseases, cancer epidemiology, pharmacoepidemiology, and arthritis research, with an increasing emphasis on practical implementation of statistical methods in clinical research. Abrahamowicz leads major collaborative research initiatives including large clinical trials and longitudinal population-based studies. His research methodology work directly informs applications in real-world clinical and epidemiological studies, creating a strong bridge between theoretical statistics and practical healthcare research.

• Mining Automation
• Autonomous Systems
• Robotics
• +۵ مورد دیگر

Dr. Kevin Austin is a Research Fellow at the School of Mechanical and Mining Engineering, Faculty of Engineering, Architecture and Information Technology at the University of Queensland. His work is affiliated with the Future Autonomous Systems and Technologies research group, where he focuses on automation and robotics applications in mining engineering. Dr. Austin received his academic qualifications from the University of Queensland, including a Bachelor (Honours) of Engineering and a Doctor of Philosophy. Dr. Austin's research centers on mining automation and autonomous systems for heavy machinery operations. His work spans several key areas including dragline operation planning, excavation sequencing, terrain mapping for autonomous bulldozers, and hyperspectral imaging for ore grade discrimination. He has made significant contributions to the development of algorithms for mining equipment automation, particularly in the areas of Monte-Carlo Tree Search for dragline operation planning and Iterative Closest Point variants for terrain scan matching. His research bridges theoretical advances in robotics and artificial intelligence with practical applications in the mining industry, focusing on improving efficiency, safety, and productivity. Dr. Austin has been involved in numerous research projects funded by industry partners including Caterpillar Inc and the Australian Coal Association Research Program (ACARP). His current research focuses on coal stockpile management for remote bulldozers, semi-autonomous bulldozers for mine site rehabilitation, and articulated truck automated systems. His work demonstrates a strong industry connection with practical applications in mining operations. As an academic supervisor, Dr. Austin has served as an Associate Advisor for multiple PhD and Master's students at the University of Queensland. His supervision portfolio includes research on real-time terrain mapping for autonomous bulldozers, mission planning for autonomous excavation, dragline excavation sequencing, and scan matching for terrain mapping in open-pit mining. His collaborative approach is evident in his work with other faculty members, particularly Professor Ross McAree. Dr. Austin's laboratory and research team work closely with industry partners through the Future Autonomous Systems and Technologies group. They maintain strong connections with mining equipment manufacturers and coal mining operations, ensuring their research addresses real-world challenges in the mining sector. Their facilities likely include simulation environments for mining equipment operation, testbeds for autonomous systems, and data analysis platforms for mining process optimization.

Deepinder P. Singhمشاهده پروفایل

دانشیار

• Radiation Oncology
• Lung Cancer
• Head and Neck Cancers
• +۲ مورد دیگر

Deepinder P. Singh, MD, is an Associate Professor in the Department of Radiation Oncology at the University of Rochester Medical Center , where he also serves as a faculty member in the UR Medicine Faculty Group. Specializing in stereotactic body radiation therapy and brachytherapy for lung cancers, as well as treating nasopharyngeal, oropharyngeal, oral cavity, laryngeal, and hypopharyngeal cancers, Dr. Singh combines clinical expertise with significant research contributions. Education includes an MBBS from Indira Gandhi Medical College, Shimla (1981), followed by residencies and fellowships at the University of Rochester Medical Center (2001-2009) and Indian institutions (1982-1989). His clinical focus centers on Lung cancer radiotherapy Head and neck oncology SBRT for oligometastatic disease Brachytherapy applications Research trends over the last decade show specialization in stereotactic body radiation therapy for lung tumors, dosimetric optimization in complex cancer scenarios, and management of metastatic patterns following radiation treatments. Key subfields include tumor-specific radiation protocols, adaptive therapy planning, and radiation-induced complications in thoracic and head/neck cancers. Scientific recognition includes Fellow (2024) Certificate of Appreciation (2020) Multiple Educator of the Year awards (2012-2020) Bronze Star (2016-2019) As a clinical researcher, Dr. Singh leads major trials like the Phase III SBRT+chemoradiation comparison for locally advanced NSCLC and the 3 vs 5-fraction SBRT protocol. His teaching contributions are evidenced through frequent appearances as Educator of the Year at the University of Rochester Medical Center.

Engin Topanمشاهده پروفایل

دانشیار

• Service Logistics
• Predictive Maintenance
• After-Sales Service
• +۵ مورد دیگر

Engin Topan serves as Associate Professor in the Industrial Engineering & Business Information Systems department at the University of Twente, with dual affiliation at the Digital Society Institute. His expertise spans reliability engineering, maintenance systems, and service logistics for capital goods, focusing on data-driven solutions for Industry 4.0 applications and after-sales service optimization. Education: Ph.D. in Industrial Engineering from Middle East Technical University, Turkey (2010) Dr. Topan's research centers on predictive maintenance and spare parts supply planning within service logistics, alongside proactive production planning for smart manufacturing. He pioneers AI-empowered flexible production systems for SMEs and develops service control tower frameworks for after-sales logistics. His work integrates operations research with practical industry challenges, emphasizing real-world applicability in manufacturing and service sectors through projects like ProSeLo and MANTIS. Recent publications (2022-2025) reveal consistent focus on service control tower architectures, predictive maintenance algorithms, and data-sharing mechanisms in inter-organizational systems. Key themes include reference modeling for asset maintenance, heuristic optimization for operational planning, and pandemic response modeling—demonstrating interdisciplinary reach across logistics, public health, and information systems. Scientific Awards: IISE 2022 Best Application Paper in Data Science, Quality, and Reliability ISE Transactions 2019 Design & Manufacturing Best Paper Award Dr. Topan actively mentors graduate researchers and leads major collaborative projects: coordinating PERISCOP (AI-driven production planning for SMEs), serving as WP-leader in DESIRE (smart/resilient manufacturing), and contributing to OpsCenter (service control towers). These initiatives, funded through competitive grants, address critical gaps in sustainable manufacturing and service logistics while fostering industry-academia partnerships. His research operates within the ProSeLo ecosystem for proactive service logistics and the MANTIS framework for maintenance planning, utilizing cross-disciplinary teams to develop decision-support tools. Current efforts focus on operationalizing service control towers through case studies with industrial partners, with future work targeting adaptive supply chains for SMEs in volatile markets.

Nicole Abaidمشاهده پروفایل

دانشیار

• Dynamical Systems
• Control Theory
• Multi-Agent Systems
• +۵ مورد دیگر

Nicole Abaid is an Associate Professor in the Department of Mathematics at Virginia Tech, affiliated with the College of Science. Her research integrates dynamical systems, control theory, and robotics to study collective behavior in biological and engineered systems. She explores biologically-inspired models, such as bat swarms and brain networks, to develop applications in robotics and environmental monitoring. Her work combines agent-based modeling, network analysis, and data-driven approaches to understand interactions in animal groups and robotic systems. Notable projects include analyzing bat echolocation for acoustic sensing in robotics and studying stress effects in human crowd dynamics during emergencies. She has also contributed to piezoelectric energy harvesting and ex vivo muscle stimulation via Functional Electrical Stimulation (FES). Abaid’s research has been supported by grants like the NSF CAREER Award for collective behavior studies. She collaborates on interdisciplinary projects, including outreach programs in biomimetics and robotics for K-12 education. Her publications span journals and conferences, emphasizing applications in ecology, robotics, and control systems.

Didier Theilliolمشاهده پروفایل

استاد

• Fault Tolerant Control
• Control Engineering
• Aerospace Systems
• +۳ مورد دیگر

Didier Theilliol is a Professor of Control Engineering at the University of Lorraine, France, since 2004. He holds a Ph.D. in Control Engineering from Nancy-University (1993). He was awarded the CAS Visiting Professorship by the Chinese Academy of Sciences (CAS) in 2012, during which he collaborated with the Shenyang Institute of Automation (SIA) on flight control and fault-tolerant systems. His research focuses on model-based fault diagnosis (FDI), fault-tolerant control (FTC) for complex systems, and reliability analysis, with applications in aerospace, industrial automation, and robotics. Education: Ph.D. in Control Engineering (Nancy-University, 1993). Research interests include advanced control strategies for linear and nonlinear systems, multi-agent coordination, and safety-critical applications. His work integrates theoretical advancements with practical implementations across industries such as steel production, wastewater treatment, and aerospace. Notable contributions include methodologies for degradation management, distributed observer design, and health-aware control. Recent article trends emphasize fault-tolerant control in multi-agent systems, reinforcement learning for safety-critical tasks, and integration of physics-informed neural networks for system modeling. His publications span topics from model-based diagnostics to real-world applications in UAVs and propulsion systems. Awards: CAS Visiting Professorships for Senior International Scientists (2012). Collaborations include co-working with SIA’s rotorcraft UAV project team and leading European R&D initiatives. He serves as Associate Editor for ISA Transactions and Unmanned Systems , and chairs conferences on fault-tolerant control systems. His research also extends to Bayesian networks for system reliability and particle filter-based prognostics in industrial settings. Labs/Teams: Active in the State Key Laboratory of Robotics (visited during his CAS tenure) and coordinates projects within the German-French Institute for Automation and Robotics.

Emily Jensenمشاهده پروفایل

استادیار

• Control Systems
• Power Systems
• Robotics
• +۳ مورد دیگر

Emily Jensen is an Assistant Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado, Boulder. She specializes in the analysis and control of spatially-distributed systems with applications in power grids, satellite constellations, and bio-inspired robotics. Her work focuses on developing theoretical frameworks to optimize system performance under constraints such as communication limitations and nonlinear dynamics. Education: B.S. in Engineering Mathematics & Statistics, UC Berkeley, 2015 M.S./Ph.D. in Electrical & Computer Engineering, UC Santa Barbara, 2020 Professional Appointments: Postdoctoral Researcher at UC Berkeley (2022-2023) Postdoctoral Researcher at Northeastern University (2021) Her research interests center on optimal distributed control, system-level synthesis, and the interplay between system structure and controller design. Key projects include multi-timescale power network control, nonlinear wave dynamics in engineering systems, and distributed parameter systems with limited communication. Dr. Jensen has delivered invited talks at high-profile venues such as the International Symposium on Mathematical Theory of Networks & Systems (2024) and the System Level Synthesis Workshop (2022). She currently advises a team of graduate and undergraduate researchers, including Addie McCurdy, Andy Gusty, and Matt Baughman (co-advised with Prof. Hodge). Awards: UC Regents’ Graduate Fellowship (2016) Zonta Amelia Earhart Fellowship (2019) IFAC Conference Young Author Award Honorable Mention (2022) She teaches ECEN 3300 (Linear Systems) and ECEN 5738 (Nonlinear Control Systems) at CU Boulder. Her work has been published in IEEE journals and conferences, emphasizing theoretical contributions with practical engineering relevance.

Yang Caoمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Yang Cao is an Associate Professor in the Department of Computer Science at Virginia Tech, affiliated with the College of Engineering. His research focuses on computational biology, bioinformatics, and high-performance computing, particularly in modeling cell cycle dynamics and stochastic processes in biochemical systems. He holds a Ph.D. from the University of California, Santa Barbara, and degrees from Tsinghua University. Education: Ph.D., Computer Science, University of California at Santa Barbara (2003) M.S., Computational Math, Tsinghua University, Beijing, China (1998) B.S., Applied Math, Tsinghua University (1993) Research Interests: Computational modeling of biological systems, including Caulobacter crescentus and budding yeast cell cycles Stochastic simulation algorithms for biochemical reactions HPC applications in systems biology and computational science Recent Work Trends: Recent articles highlight advancements in cell cycle regulation, parameter estimation for stochastic models, and algorithmic improvements for hybrid simulation methods, emphasizing computational efficiency and biological accuracy.