جست‌وجوی استاد و پژوهشگر

Zubaa Akhtarمشاهده پروفایل

پژوهشگر ارشد

• Psychology
• Neuroscience
• Rehabilitation
• +۳ مورد دیگر

Zubaa Akhtar serves as a Research Fellow at the School of Health Sciences, University of East Anglia, where she also completed her Doctor of Philosophy (PhD) through the Norwich Business School. Her academic profile bridges health sciences and business disciplines with a pronounced focus on Pakistani societal contexts. Her research portfolio spans: Cognitive neuroscience and stroke rehabilitation, particularly hemispheric comparisons of cognitive dysfunction and sleep quality Moral psychology investigations into ethical dilemmas and stereotypes in Pakistani adults Public health policy analysis, including Pakistan's Sehat Sahulat Program and physical rehabilitation frameworks Prison rehabilitation systems, with emphasis on entrepreneurial education programs in Muslim-majority contexts Mental health epidemiology covering hoarding disorder, drug addiction recovery, and skin color perception Analysis of her 2020-2023 publications reveals methodological diversity across phenomenological studies, ethnographic investigations, multi-method explorations, and systematic reviews. Her work consistently addresses health and social challenges in Pakistan, demonstrating particular expertise in stroke rehabilitation, moral psychology, and prison-based entrepreneurial training. Key thematic threads include cultural influences on cognition, policy implementation barriers, and rehabilitation program efficacy. No scientific awards or major research grants are documented in available sources. Similarly, there is no evidence of graduate student supervision or leadership of formal research laboratories or collaborative teams.

Stephen Montgomery-Smithمشاهده پروفایل

استاد

• Fluid Mechanics
• Functional Analysis
• Harmonic Analysis
• +۲ مورد دیگر

Stephen Montgomery-Smith is a Professor in the Department of Mathematics at the University of Missouri. His research spans fluid mechanics, functional analysis, numerical methods, and probability theory. He develops mathematical models for complex physical systems, including fiber suspensions in fluids, robotic kinematics using dual quaternions, and stochastic processes in biological contexts like the Luria-Delbrück experiment. His work combines theoretical rigor with practical applications in engineering and science. Recent publications feature innovations in motion simulation filters, instability analysis of non-Newtonian fluids, and dual quaternion applications in robotics. He tackles challenging problems such as the Navier-Stokes existence conjecture, employing diverse approaches from spectral analysis to computational algebra. His interdisciplinary collaborations extend to battery technology and materials science.

Hunter Belangerمشاهده پروفایل

استادیار

• Monte Carlo Methods
• Nuclear Reactor Physics
• High-Performance Computing
• +۳ مورد دیگر

Dr. Hunter Belanger is an Assistant Professor in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). He holds a B.S. (2018) and M.S. (2019) in Physics from RPI, followed by a Ph.D. (2022) in Nuclear Energy from Université Paris-Saclay. His research focuses on Monte Carlo particle transport methods, reactor physics, and high-performance computing, with active contributions to open-source tools like the Papillon Nuclear Data Library and codes such as ABEILLE and SCARABEE. Education: Ph.D. in Nuclear Energy, Université Paris-Saclay, France (2022) M.S. in Physics, Rensselaer Polytechnic Institute (2019) B.S. in Physics, Rensselaer Polytechnic Institute (2018) Research Interests: Dr. Belanger specializes in advancing Monte Carlo methods for nuclear reactor physics, including development of open-source computational tools for continuous-energy neutron transport, spatially continuous material properties, and high-performance computing. His work addresses challenges such as neutron clustering, transient simulations, and coupled multi-physics problems in reactor cores. Articles Trends: Recent publications emphasize variance reduction techniques, weight cancellation algorithms, and branchless collision methods to improve Monte Carlo efficiency in reactor simulations. Key areas include anisotropic scattering treatment, neutron noise induced by mechanical vibrations, and optimization of particle tracking in stochastic media. Awards: No specific awards listed in provided materials. Advising & Grants: No advisees or grants explicitly mentioned. Contributions focus on open-source software development and computational method advancements. Labs & Teams: Part of RPI's Nuclear Engineering group, collaborating on projects involving continuous-energy simulations and reactor physics. Leads development of the Papillon Nuclear Data Library and related Monte Carlo codes.

• Nuclear Energy
• Medical Physics
• Radiation Safety/Security
• +۷ مورد دیگر

Professor Wei Ji holds the William H. Hernstadt '57 Faculty Fellow position in Nuclear Engineering at Rensselaer Polytechnic Institute (RPI), where he also directs the Walthousen Reactor Critical Facility. He leads the Nuclear Computing and Multi-Physics (NuCoMP) Research Group, focusing on advanced computational techniques for nuclear energy, medical physics, and space exploration applications. He earned his B.S. and M.S. from Tsinghua University and his Ph.D. from the University of Michigan. His research addresses challenges in reactor design, radiation therapy, Monte Carlo methods, and rad-hard electronics for space missions, supported by over $14M in funding from agencies like DOE, NASA, and NIH. Education: B.S. in Engineering Physics, Tsinghua University (1999) M.S. in Engineering Physics, Tsinghua University (2002) M.S. in Nuclear Engineering, University of Michigan (2004) Ph.D. in Nuclear Engineering, University of Michigan (2007) Research Interests: Professor Ji’s work bridges computational methods with nuclear applications, including: Neutron transport modeling and reduced-order methods Advanced reactor design and safety analysis Radiation therapy dose computation Space-compatible power device reliability Multiphysics coupling for reactor transient analysis His recent studies emphasize cryogenic propulsion systems, molten salt reactor chemistry, and radiation-hardened electronics for extreme environments. Notable Achievements: Over 160 peer-reviewed publications since 2008 DOE/ANS awards for research excellence 2019 NEAGS Teaching Award and 2018 RPI Education Innovation Award Grants & Advising: Total funding: $14M+ from DOE, NASA, NIH, NRC, and industry Focus areas include NEAMS Program contributions, NRC safety assessments, and NASA ESI-funded space technology Labs & Teams: His NuCoMP Group collaborates with national labs (LANL, ANL) and industry partners to develop next-generation simulation tools and hardware for nuclear systems. Current projects include: Metamodel-driven Monte Carlo workflows Equation-free multiscale fluid modeling Radiation effects on SiC/Si devices

Waseem Abbasمشاهده پروفایل

استادیار

• Network Control Systems
• Cyber-Physical Systems
• Multiagent Systems
• +۵ مورد دیگر

Waseem Abbas serves as an Assistant Professor in the Department of Systems Engineering and Management at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. His academic focus centers on theoretical and applied networked systems research with critical infrastructure applications. His research program investigates network control systems and cyber-physical systems with emphasis on resilience and robustness against faults and strategic attacks. Key methodologies include graph theory (graph coloring, domination) and game theory applied to distributed control architectures. Primary application domains encompass robotic networks, sensor networks, transportation systems, and power grids where global behavior must emerge from local interactions. Specific contributions address robustness, controllability, optimal resource allocation, energy-efficient scheduling, intrusion detection, coverage problems, and resilient sensor placement. Analysis of his 2022-2024 publications reveals concentrated innovation in resilient consensus algorithms for Byzantine fault tolerance, structural controllability using zero forcing sets, and robust network design for critical infrastructure. His work increasingly integrates graph neural networks with control theory while maintaining strong theoretical foundations in graph-based security methods, demonstrating consistent advancement in networked system resilience.

Bruce Piperمشاهده پروفایل

دانشیار

• Mathematics Education
• Computer Aided Geometric Design
• Approximation Theory
• +۳ مورد دیگر

Bruce Piper is an Associate Professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute, with contact information including email piperb@rpi.edu and phone number 518-276-6892. His research interests include: Mathematics Education Computer Aided Geometric Design Approximation Theory Shape Preserving Interpolation Data Analysis Techniques Dr. Piper's work spans both theoretical and applied mathematics. In theoretical domains, he has investigated shape preserving interpolation, specifically focusing on the preservation of monotonic curvature and 3-convexity problems. He has developed novel surface representations for convexity preserving interpolation. His applied research bridges mathematical techniques with antenna engineering, particularly in spherical conformal antenna design using NURBS techniques and electromagnetic modeling of conformal wideband antennas. His publication record reveals a progression from geometric design fundamentals to practical engineering applications. The research shows strong interdisciplinary connections between pure mathematics and electrical engineering, with significant contributions to both fields. His work on cubic spirals and Hermite interpolation has theoretical importance, while his antenna modeling research has practical implications for wireless communications technology. Dr. Piper has contributed to mathematics education through curriculum development for undergraduate math majors, creating courses that teach data visualization, classification, clustering, and ridge regression. He has also implemented mentorship programs where upper-class students guide first-year students in Calculus courses to improve STEM retention rates.

David Isaacsonمشاهده پروفایل

استاد

• Mathematical Physics
• Medical Imaging
• Electrical Impedance Tomography
• +۳ مورد دیگر

David Isaacson holds the position of Professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute (RPI), where he conducts cutting-edge research at the intersection of theoretical mathematics and clinical medicine. His primary institutional affiliation is with RPI, and he is also associated with the Center for Biotechnology and Interdisciplinary Studies, reflecting the multidisciplinary nature of his work. Professor Isaacson's long-term research goals center on improving diagnostic and therapeutic approaches for heart disease and cancer through innovative mathematical and engineering solutions. Professor Isaacson's research program is distinctly bifurcated into two major domains: mathematical physics and medical imaging. In mathematical physics, he develops advanced computational methods for approximating energy levels, particle masses, and critical exponents in quantum mechanics, quantum field theory, and statistical mechanics. His medical imaging research focuses on electrical impedance tomography (EIT), where he pioneers algorithms and hardware for non-invasively measuring and visualizing the electrical state of the body's interior from surface measurements. Specific applications include monitoring cardiac and pulmonary functions, diagnosing breast cancer through molecular impedance signatures, and optimizing chemotherapeutic interventions. His work in this area has significant clinical implications for conditions such as congenital heart defects, cystic fibrosis, and bronchopulmonary dysplasia. A review of Professor Isaacson's publication record from 2016 to 2025 demonstrates a sustained and evolving research trajectory in EIT technology. Early work concentrated on foundational reconstruction algorithms (e.g., D-bar and Calderón methods) and hardware development (ACT series systems), while recent publications emphasize clinical translation, particularly in pediatric cardiology and pulmonology. His team has produced innovative solutions for simultaneous EIT/ECG acquisition, 3D absolute imaging, and dynamic monitoring of ventilation-perfusion relationships. The consistent theme across these studies is the rigorous application of mathematical theory to solve practical biomedical imaging challenges, resulting in tools that are increasingly adopted in clinical settings for real-time physiological monitoring. No scientific awards or major honors were explicitly documented in the available sources. While detailed information about academic advisees, grant funding, or dedicated laboratory facilities was not provided in the current materials, Professor Isaacson's extensive collaborative network is evident from his numerous co-authored publications with clinicians and engineers. His work with the Center for Biotechnology and Interdisciplinary Studies suggests active participation in multidisciplinary research teams focused on translating engineering innovations into medical practice. Future research directions likely include further refinement of EIT for point-of-care diagnostics and expansion into new disease areas through continued cross-disciplinary partnerships.

• Electronics and Sensors
• Materials Engineering
• Acoustics and Wave Mechanics
• +۸ مورد دیگر

Tanju Yildirim is a Lecturer in the Faculty of Science and Engineering at Southern Cross University (SCU), specializing in the development of innovative solutions for scientific problems requiring sensors, actuators, materials synthesis, and instrumentation. His expertise spans multidisciplinary research areas including MEMS-based agricultural sensors, 2D materials physics, and acoustic olfactory systems. He maintains international collaborations across academia, government, and industry. Education Doctor of Engineering (2015–2017), University of Wollongong Bachelor of Engineering (2011–2014), University of Wollongong Research Interests Design and application of advanced sensors (MEMS, acoustic, gas/odor) Nonlinear dynamics and energy harvesting systems 2D materials physics (optoelectronics, strain engineering) Biomedical and environmental sensing technologies His recent work focuses on acoustic-based gas sensing, strain-modulated optoelectronic properties of 2D materials, and bio-inspired control algorithms. Tanju actively engages in teaching engineering skills aligned with real-world industry needs. Key Collaborations Partner universities in Japan, China, and Australia Government institutions and private firms for applied R&D projects

Kush Bubbarمشاهده پروفایل

استادیار

• Model-Based Design
• Sustainable Energy Systems
• Multi-physics Modeling
• +۳ مورد دیگر

Kush Bubbar is an Assistant Professor at the University of New Brunswick's J Herbert Smith Centre for TME, with expertise in systems modeling for sustainable energy and product development. His research applies graph-theoretical frameworks to multi-physics problems, particularly in marine renewable energy. Industrial experience includes senior engineering roles at SCIEX™ (biomedical tech) and BlackBerry™ (manufacturing systems). Teaching includes Product Design & Development (TME 4025/6025) and Battery Technology Modeling (TME 6386). Professional affiliations include the Canadian Society for Mechanical Engineering and Design Society. He leads the Sys-MoDEL Lab, collaborating with industry partners including Potential Motors™ and NB Power™.

Chunyi Gaiمشاهده پروفایل

استادیار

• Reaction-Diffusion Systems
• Pattern Formation
• Dynamical Systems
• +۵ مورد دیگر

Dr. Chunyi Gai is an Assistant Professor in the Department of Mathematics and Statistics at the University of Northern British Columbia (UNBC), part of the Faculty of Science and Engineering. She holds a PhD in Mathematics from Dalhousie University (2021) and completed a postdoctoral fellowship at the University of British Columbia (2021-2024). Her research focuses on reaction-diffusion systems, pattern formation, and dynamical systems analysis with applications in ecology, morphogenesis, and crime modeling. She employs both analytical methods (e.g., asymptotic analysis) and numerical simulations to study localized patterns, bifurcations, and stochastic influences on system behavior. Education: PhD in Mathematics (Dalhousie University, 2021), Postdoctoral Research (University of British Columbia, 2021-2024). Research emphasizes theoretical development of reaction-diffusion models and their real-world applications, including: Pattern formation in ecological systems and urban crime Stability analysis of spike-like patterns Influence of domain growth and stochasticity on spatiotemporal dynamics Teaching experience includes courses at UNBC (e.g., MATH 335 Numerical Methods), UBC (e.g., MATH 307 Applied Linear Algebra), and Dalhousie University (e.g., MATH 2120 ODE Methods). Her work bridges pure mathematics with applied problems, maintaining a focus on interdisciplinary collaboration.

Panagiotis Stamatopoulosمشاهده پروفایل

استادیار

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +۹ مورد دیگر

Panagiotis Stamatopoulos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been employed since 1993. He holds a PhD in Computer Science (1988) and a Diploma in Physics (1982) from the University of Athens. His research spans artificial intelligence, constraint programming, natural language processing, machine learning, and optimization. Specific interests include: Hybrid approaches combining constraint programming with operations research Natural language understanding for database access Parallel processing and distributed constraint solving Multi-agent systems and web intelligence applications His publications show consistent focus on constraint satisfaction algorithms, text summarization techniques, educational timetabling systems, and AI applications in diverse domains like sports analytics and robotics. Recent works demonstrate increased attention to NLP evaluation metrics and multimodal learning. He has supervised numerous diploma theses and led projects funded by the European Union (EDS, APPLAUSE, PARACHUTE, PARROT), University of Athens, and Olympic Airways. Stamatopoulos teaches undergraduate courses in Introduction to Programming and Logic Programming, plus postgraduate courses in Advanced Artificial Intelligence. He previously taught Artificial Intelligence, System Programming, and Expert Systems.

Abdellah Salhiمشاهده پروفایل

استاد

• Optimization
• Metaheuristics
• Operations Research
• +۳ مورد دیگر

Abdellah Salhi is a Professor at the School of Mathematics, Statistics and Actuarial Science (SMSAS) at the University of Essex. His academic qualifications include a PhD from Aston University and a BSc from the University of Constantine. He specializes in optimization, metaheuristics, and operations research, with applications in logistics, port operations, and mathematical modeling. His research addresses complex problems such as container port scheduling, vehicle routing, and numerical solutions for biological systems. Salhi's work spans optimization algorithms like the Plant Propagation Algorithm, Genetic Algorithms, and hybrid methods for solving real-world challenges. His articles focus on multi-objective optimization, logistics efficiency, and algorithmic advancements. He has supervised numerous PhD students, contributing to academic and industrial research. While grants and funding sections are listed, specific details are not provided in the text. No dedicated labs or teams are mentioned, though collaborations are implied through his extensive publication record.

• Quantum optics
• Condensed matter physics
• Quantum electrodynamics
• +۵ مورد دیگر

Cristiano Ciuti is a Professor at the University of Paris Cité and Director of the MPQ (Matter and Complex Quantum Systems) laboratory since April 2018. He also leads the THEORY team within the same institution. His academic journey includes an Associate Professor position at ENS Paris (2003-2006), a postdoc at UCSD (2001-2003), and doctoral work at EPFL Switzerland (1997-2001). Habilitation HDR (Univ. Paris 6) - 2005 Doctorate of Science, EPFL - 2001 Diploma di Licenza cum laude, Scuola Normale Superiore & Laurea, Università di Pisa, Italy - 1997 Professor Ciuti's research focuses on quantum physics phenomena, particularly in the areas of quantum optics and transport in condensed matter systems, cavity and circuit quantum electrodynamics in the strong coupling regime, theory of open quantum multi-body systems, and non-equilibrium quantum critical phenomena. His work increasingly intersects with complex systems and machine learning approaches, exploring applications of neural networks to quantum dynamics and quantum technologies. His research has evolved to incorporate cutting-edge computational methods including variational approaches and neural quantum states. His recent publications demonstrate a strong trend toward integrating machine learning techniques with quantum physics, particularly in developing neural network approaches for quantum dynamics simulation, quantum state representation, and quantum computing applications. The research spans fundamental quantum phenomena while addressing practical computational challenges in simulating complex quantum systems. Fellow of the American Physical Society (2021) Friedel-Volterra Prize (2019) ERC Consolidator Fellowship (2013) Junior Member of the Institut Universitaire de France (IUF) (2010) Marie Curie Fellowship (2003) Professor Ciuti has supervised an extensive number of doctoral students since 2007, with 17 completed theses as of 2023. His mentoring extends to numerous postdoctoral researchers, with current and past appointments including L. Giacomelli, G. Arwas, Z. Denis, and others. His research group appears well-funded through prestigious grants including ERC funding. The MPQ laboratory he directs serves as a hub for quantum physics research, particularly focusing on theoretical approaches to complex quantum phenomena with connections to experimental implementations.

Robert Dixonمشاهده پروفایل

دانشیار

• School Psychology
• Response to Intervention (RtI)
• Multi-Tiered System of Supports (MTSS)
• +۳ مورد دیگر

Robert Dixon is an Associate Professor in the Psychology department at the University of Wisconsin-La Crosse. He holds a PhD in School Psychology from the University of Northern Colorado, an M.Ed. in Community Counseling from Loyola University of Chicago, and a B.A. in Psychology from the University of Manitoba. His expertise spans School Psychology, Response to Intervention (RtI), Multi-Tiered System of Supports (MTSS), and Online Service Delivery. He has been actively involved in curriculum development, including courses like School-wide Practices for Academics, Behavior, and Mental Health and Research & Program Evaluation . Dr. Dixon has contributed to professional organizations such as the National Association of School Psychologists (NASP) Board of Directors and the APA Division 16 Ethics Committee. His recent professional activities include presenting at conferences on topics like ethics in digital age practice and problem-based learning in training. He has co-authored articles addressing workforce shortages through online respecialization programs and maintains clinical involvement through volunteer work in local school districts. He has secured significant grants, including a $1.25M award to enhance adapted physical education and school psychology programs. His advising and mentorship are central to his role, with active practicum and internship sequences guiding future school psychologists. Dixon also chairs APA Division 16’s ethics committee, reflecting his commitment to ethical standards in practice.

• Quantum Mechanics
• Nuclear Physics
• Computational Physics
• +۳ مورد دیگر

Wytse Van Dijk is an Adjunct Professor in the Department of Physics & Astronomy at McMaster University. His research focuses on quantum mechanics, computational physics, and theoretical studies of nuclear and atomic systems. He has published extensively on numerical solutions of the Schrödinger equation, quantum tunneling, and quantum information processing. Research Interests : Quantum systems simulation, numerical methods in quantum mechanics, quantum computing algorithms, nuclear decay processes, and many-body systems like Fermi and Bose gases. His work bridges theoretical physics with computational techniques, addressing challenges in wavepacket dynamics and time-dependent quantum phenomena. Articles Trends : Recent work emphasizes numerical methods for quantum systems, including efficient algorithms for the time-dependent Schrödinger equation and quantum search algorithms. He has also explored quantum backflow, tunneling effects, and unitary Fermi gas properties. Co-Authors : Collaborations with Yukihisa Nogami and Melvin Preston highlight his network in theoretical and computational physics. His research spans over 50 years with 94+ publications (1967–2024).