جستجوی استاد راهنمای دانشگاهی

Mobashar Rehmanمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Digital Transformation
• Supply Chain Management
• +۳ مورد دیگر

Dr. Mobashar Rehman is a Senior Lecturer in Digital Business and Analytics at the School of Business, Faculty of Business and Law, Middlesex University, London. He previously held positions as Assistant Professor at Universiti Brunei Darussalam (2022) and Universiti Tunku Abdul Rahman, Malaysia (2012–2022). He earned a PhD in Knowledge Management from Universiti Teknologi PETRONAS, an MBA, and a BS in Computer Science. His research focuses on Knowledge Management, Digital Transformation, Supply Chain Management, and Cybersecurity, with over 63 publications and £182,845 in research grants. He teaches courses like Enterprise Resource Planning and Global Supply Chain Management. Research Interests: Knowledge Sharing in Software Engineering Digital Transformation Strategies Supply Chain Agility Cyber Hygiene and Information Security Sustainable Tourism Marketing STEM Education Gender Disparities Grants & Collaborations: Involved in grants exceeding £182k and international collaborations in joint research and publications. Supervises PhD student Rory Mc Connon. Recent Trends in Articles: Focuses on organizational support in knowledge sharing, social media in tourism, IT adoption in supply chains, and cybersecurity behaviors. Explores adaptive machine learning frameworks for IoT and image classification, emphasizing practical applications in dynamic environments.

Kamran Aliمشاهده پروفایل

مدرس ارشد

• IoT
• Wireless Cooperative Networks
• D2D Communication
• +۹ مورد دیگر

Dr. Kamran Ali is a Senior Lecturer in the Computer Science Department at Middlesex University's Faculty of Science and Technology since 2020. He holds a PhD in Communication Architecture Design, supported by the Newton Fund/British Council Institute. His research spans IoT, wireless networks, D2D communication, cloud computing, cybersecurity, and disaster infrastructure modeling. He actively leads international projects such as the EMERALD initiative for environmental monitoring and the ICRG Pakistan-UK collaboration. Dr. Ali is a Fellow of the Higher Education Academy (UK) and contributes to IEEE conferences as a technical reviewer and committee member. His teaching roles include leading modules like CST4570 Virtualisation and Cloud Computing and CST2590 Internet of Things. Research interests include heterogeneous networks, digital twin technology, energy-efficient systems, and smart city infrastructure. His funded projects address challenges in environmental monitoring, disaster response, and public safety networks. Education: PhD in Communication Architecture Design (Newton Fund/British Council) Grants: ICRG (Pakistan-UK), EMERALD (with VIT India), and UKIERI projects Committees: IEEE Technical Programme Committee member and TPC Chair Key research trends include integrating AI/ML in environmental and disaster management, optimizing vehicular and edge networks, and enhancing cybersecurity for healthcare and financial systems. His work bridges technological innovation with real-world applications like smart cities and sustainable development. Awards: Fellow of the Higher Education Academy (UK) Grants & Collaboration: Oversees multiple international research partnerships and leads innovation in public safety communication systems Dr. Ali collaborates with global institutions on projects like drone-based small cells for emergency networks and energy-efficient architectures for critical infrastructure. His interdisciplinary approach addresses challenges in both technical and societal domains.

Keh-Fei Liuمشاهده پروفایل

استاد

• Lattice QCD
• Nuclear Physics
• Particle Physics
• +۲ مورد دیگر

Keh-Fei Liu is Professor of Physics and APS Fellow at the University of Kentucky's Department of Physics and Astronomy. He directs research in theoretical nuclear and particle physics with specialization in lattice quantum chromodynamics (QCD). His research investigates fundamental aspects of quantum chromodynamics through four primary domains: Non-perturbative QCD calculations Hadron structure and properties Neutrino-nucleon interactions Finite-temperature QCD phenomena Publication analysis reveals extensive focus on lattice field theory applications, with recent methodological advances in fermion formulations and renormalization techniques. Significant contributions include nucleon structure calculations, precision tests of electroweak interactions, and theoretical frameworks for neutrino scattering experiments. Research consistently bridges theoretical development with computational physics implementations. Honors include recognition as an APS Fellow for distinguished contributions to theoretical nuclear physics. No student advisees are specifically documented. Laboratory affiliations include leadership roles in lattice QCD computational initiatives, though specific facilities are not detailed.

Scott Batemanمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Mixed Reality
• Spatial Computing
• +۳ مورد دیگر

Dr. Scott Bateman is an Associate Professor of Computer Science at the University of New Brunswick (UNB), where he leads the Human-Computer Interaction Lab and co-directs the Spatial Computing Research Centre (SPECTRAL). He holds leadership roles as Research Director of the Research Institute for Data Science and Artificial Intelligence (RIDSAI). His research focuses on applying emerging technologies like mixed reality, AI, and games to solve real-world challenges in healthcare, education, and industry collaboration. Education: PhD in Computer Science from the University of Saskatchewan (2012) Prior Experience: Researcher at Microsoft Research, IBM Watson Research, and institutions in Canada, Ireland, and Singapore. His research interests span Human-Computer Interaction , Mixed Reality , Serious Games , and AI-driven User Interaction . Recent work emphasizes wearable EMG-based control systems, AR/VR applications, and gamified training tools. His contributions have been recognized with a Best Paper Award and two Honourable Mentions at the ACM CHI Conference. Dr. Bateman actively collaborates with industry partners to translate research into practical solutions. He has designed health-focused games like Bubble Breather and Percussion Hero , which integrate biofeedback and gamification to improve patient adherence to therapies. His work also explores the ethical implications of discomfort design in wellbeing technologies. Labs/Teams: Human-Computer Interaction Lab (UNB), SPECTRAL (UNB)

• Mathematics Education
• Student Success
• Administrative Decision-Making
• +۲ مورد دیگر

Clark Metz is a Teaching Assistant Professor and Math 124 course coordinator at West Virginia University's School of Mathematical and Data Sciences. A WVU alumnus, he holds an M.S. in Applied Mathematics and is pursuing a Ph.D. in Higher Education Administration. His teaching spans quantitative reasoning, algebra, calculus, and differential equations. Metz researches student success factors and administrative impacts on learning outcomes, with prior work in spectral analysis. He co-founded the WVU Math Club and Bowling Club, serves on the WV State Math Field Day committee, and coaches the WV National Math Team.

Xiangmin Jiaoمشاهده پروفایل

دانشیار

• High-performance computing
• Numerical methods
• Geometric computing
• +۵ مورد دیگر

Xiangmin (Jim) Jiao is an Associate Professor in the Department of Applied Mathematics and Statistics at Stony Brook University, affiliated with the Computer Science Department and the Institute for Advanced Computational Science. He holds a B.S. from Peking University, M.S. from UC Santa Barbara, and Ph.D. in Computer Science from UIUC. His research focuses on high-performance geometric and numerical computing, including algorithms and software for dynamic surfaces, mesh optimization, and multiphysics coupling in applications like computational fluid dynamics and biomedical engineering. He has received awards such as the Outstanding Teacher Award (2010-2012) and the David J. Kuck Outstanding Ph.D. Thesis Award (2001). His teaching spans courses like AMS 527 (Numerical Methods) and AMS 561 (Computational Science). Key research contributions include work on finite element methods, preconditioning techniques, and surface reconstruction. He has led projects on adaptive mesh refinement and multilevel linear solvers, with applications in climate modeling and structural mechanics. His lab, the Numerical Geometry Group (NumGeom), develops open-source software tools for numerical simulations. Collaborations include interdisciplinary work in biomedical computing and climate science. Recent research emphasizes robust numerical methods for singular systems and high-order surface integration techniques.

• Social-Ecological Systems
• Environmental Policy
• Sustainable Development
• +۴ مورد دیگر

Jane Addison is a Senior Lecturer in Environmental Management at James Cook University, specializing in social-ecological systems and sustainable development. She leads research on environmental trade-offs, Indigenous land management programs, and pastoral livelihoods in Mongolia and northern Australia. As a Fellow of The Cairns Institute and Editorial Board member of Pastoralism , she bridges academic research with policy impact. Her work emphasizes the intersection of conservation and human rights, particularly in contexts like elephant ivory trade governance and grassland policy in Asia. Addison coordinates JCU's Bachelor of Environmental Practice and Science programs, fostering student collaboration with industry and communities. Her research portfolio includes 38 publications spanning climate adaptation, rangeland management, and Indigenous wellbeing. Key awards include the Humboldt Research Fellowship (2023) and Ludwig Leichhardt Fellowship (2024). She advises PhD candidates exploring coastal governance in Nigeria and arid landscape ecology. Addison's grants include projects on Mongolian herder resilience and Australia's Reef 2050 Plan. She collaborates with institutions like CSIRO and the US-based Development Research Institute - Mongolia, advancing interdisciplinary solutions for complex environmental challenges.

Qiang Liuمشاهده پروفایل

استاد مدعو

• Virology
• Virus-host interactions
• Signal transduction
• +۳ مورد دیگر

Qiang Liu is an Adjunct Professor in the Department of Veterinary Microbiology at the Western College of Veterinary Medicine, University of Saskatchewan. His academic credentials include a BSc, MSc from Nankai University (China), and a PhD from Justus Liebig University (Germany). His research focuses on molecular mechanisms of viral pathogenesis, particularly hepatitis viruses (HCV) and porcine circoviruses. Key areas include viral-host interactions, signal transduction pathways, and regulation of gene expression. His work explores how viruses modulate lipid metabolism, transcription factors, and immune responses. Notable studies involve HCV non-structural proteins' effects on fatty acid synthase and sterol regulatory element-binding proteins (SREBPs). He has contributed to vaccine development, including SARS-CoV-2 and PEDV candidates, and has investigated viral translation mechanisms using innovative transfection systems. Dr. Liu's articles span virology, immunology, and emerging technologies like machine learning for predicting T-cell epitope interactions. He also explores welding process optimization through sensor integration and AI-driven defect prediction, demonstrating interdisciplinary research interests. Awards: No specific prizes mentioned in the provided texts. His research is supported by grants focused on viral pathogenesis and vaccine development. Advising: No formal advisee名单 listed. His lab collaborations focus on interdisciplinary projects involving virology and bioengineering. Grants include studies on hepatitis C, coronaviruses, and SARS-CoV-2 vaccine platforms.

Angela Krossمشاهده پروفایل

استادیار

• Remote Sensing
• Geographic Information Systems
• Ecosystem structure, function and services
• +۴ مورد دیگر

Angela Kross is an Assistant Professor in the Department of Geography, Planning and Environment at Concordia University. She holds a PhD in Physical Geography/Remote Sensing from McGill University and an M.Sc. in Geographic Information Science/Remote Sensing from Wageningen University, Netherlands. Prior to joining Concordia in 2015, she was a postdoctoral researcher at Agriculture and Agri-Food Canada. Her research focuses on using geospatial technologies (GIS, remote sensing) combined with ground measurements and models to study ecosystem processes, vegetation dynamics, and land use change in response to anthropogenic and natural factors such as agriculture, mining, and climate change. Her work spans diverse environments, including peatlands, tropical forests, and urban areas. Key themes include habitat suitability modeling, biodiversity assessment, climate change impacts, and sustainable land management. She has contributed to studies in regions like the Congo Basin, Suriname, and the Adirondack-to-Laurentians wildlife corridor. Her methodologies often integrate machine learning and satellite data to address complex environmental challenges. Dr. Kross has published extensively on topics ranging from crop yield prediction using neural networks to assessing mining impacts in the Amazon. She maintains an active research profile with a focus on transdisciplinary solutions for environmental sustainability.

• Operations Research
• Network Optimization and Design
• Facility Location
• +۹ مورد دیگر

Ivan Contreras is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on operations research, network optimization, and mathematical physics, with applications in transportation, logistics, and facility location. He holds a PhD and has affiliations with both the Sir George Williams and Loyola campuses in Montreal, Canada. Research interests include hub network design, robust optimization, combinatorial optimization, and the intersection of geometry with quantum field theory. Notable contributions involve developing models for intermodal logistics, stochastic scheduling in healthcare, and algebraic structures in category theory. His work bridges theoretical mathematics (e.g., symplectic geometry, graph Laplacians) with applied optimization challenges in supply chain and healthcare systems. Publications span optimization frameworks for hub location problems, scheduling under uncertainty, and foundational studies in Frobenius algebras and relational groupoids. His research emphasizes practical solutions for complex systems while advancing theoretical methods in discrete mathematics and geometric analysis.

Leonardo Rastelliمشاهده پروفایل

استاد

• Quantum Field Theory
• String Theory
• Superconformal Field Theories
• +۵ مورد دیگر

Leonardo Rastelli is a Professor of Physics and Astronomy at Stony Brook University. He earned his Ph.D. from the Massachusetts Institute of Technology in 2000. His research focuses on quantum field theory and string theory, particularly the bootstrap program for superconformal field theories. He has pioneered methods in AdS/CFT correspondence and open string field theory. Rastelli has received prestigious awards including the Outstanding Junior Investigator Award, Simons Fellowship, and Guggenheim Fellowship. Education: Ph.D., 2000, MIT His research interests span structural aspects of string theory, superconformal field theories in diverse dimensions, and the interplay between holography and bootstrap methods. Current work emphasizes numerical and mathematical approaches to charting the space of CFTs. Notable contributions include analytic solutions in string field theory and foundational work on the bootstrap hypothesis. Recent articles explore topics like SCFT moduli spaces, Regge trajectories in large-N systems, and holographic dualities. His work bridges abstract mathematical structures with concrete physical predictions. Awards: Outstanding Junior Investigator Award, Simons Fellowship, Guggenheim Fellowship Grants/Funding: Supported by Simons Foundation and other institutions Rastelli leads an active research group dedicated to advancing theoretical frameworks in conformal field theories. His work often involves collaborations at the intersection of string theory, quantum gravity, and algebraic geometry.

• Mathematical Statistics
• Non-Parametric Statistics
• Bayesian Non-Parametrics
• +۵ مورد دیگر

Paulo Serra is an Assistant Professor at the Mathematics Department of the Faculty of Science at Vrije Universiteit Amsterdam. He holds additional roles including Board Member of the MSc Internship Board for Business Analytics, Examination Board Mathematics and Business Analytics, and the Mathematical Statistics section of VVSOR. Previously, he served as Assistant Professor at Eindhoven University of Technology and held postdoctoral positions at the University of Amsterdam, University of Goettingen, and UNINOVA in Portugal. Education: PhD in Mathematical Statistics (Eindhoven University of Technology, 2009–2013) MSc in Mathematical Sciences (Utrecht University, 2006–2008) Licenciatura in Applied Mathematics (New University of Lisbon, 2000–2005) Research Interests: Focus on non-parametric mathematical statistics, including Bayesian non-parametrics, spline estimators, statistical tracking of time-varying parameters, quantile regression, and Markov processes. His work bridges theoretical foundations with practical applications in algorithm design and implementation, particularly in biomedical and engineering domains. Teaching: Teaches courses in Stochastics, Statistics for Business Analytics, and Stochastic Processes for Finance at VU Amsterdam, as well as the Mastermath Bayesian Statistics course. Provides introductory materials on Probability and Statistics using Python and Jupyter Notebook. Supervision: Currently co-supervises three PhD students, one MSc student, two BSc students, and one MSc internship. Offers thesis projects in areas aligned with his research expertise. Key Themes in Publications: Recent work emphasizes medical applications (e.g., perioperative patient deterioration prediction) and methodological advancements in robust estimation, nonparametric Bayesian techniques, and adaptive algorithms. Earlier contributions include fuzzy logic systems for spacecraft thermal monitoring and network dimension estimation in inhomogeneous graphs.

Melanie Morrisonمشاهده پروفایل

استادیار

• MRI Techniques
• Neuromodulation
• Parkinson's Disease
• +۵ مورد دیگر

Melanie Morrison, PhD, is an Assistant Professor in residence in the Department of Radiology and Biomedical Imaging at UCSF and a core member of the UCSF-UC Berkeley Joint PhD Program in Bioengineering. She holds a BSc in Integrated Sciences (Physics) from Carleton University (2013) and a PhD in Medical Biophysics from the University of Toronto (2016). Her postdoctoral training (2016–2022) focused on brain tumor projects under Dr. Janine Lupo. Her research centers on clinical translation of advanced MRI techniques to improve neuromodulation therapies for neurological and neuropsychiatric conditions. Key areas include: (1) precise brain targeting for neuromodulation via multimodal 3T/7T MRI; (2) predictive imaging markers for treatment efficacy; and (3) real-time brain function evaluation during neuromodulation. Supported grants include NINDS R01 and NIMH R21 funding. Her lab emphasizes methodological transparency and accessibility in translational neuroimaging. Notable achievements include the 2023 Chancellor's Conference Grant, 2020 Bruce Hasegawa Award, and over 50 peer-reviewed publications. She is deeply committed to mentorship and advancing equity in academia, particularly for underrepresented trainees. Current projects include cerebellar DBS for cerebral palsy (NIH NINDS-funded clinical trial), 7T MRI prediction of Parkinson's outcomes, and OCD network analysis via fMRI/intracranial recordings. Her lab operates at UCSF Radiology with GitHub resources available for imaging tools and protocols.

Ashish Rajمشاهده پروفایل

استاد

• Medical Imaging
• Neuroscience
• Graph Theory
• +۷ مورد دیگر

Ashish Raj, PhD, is a Professor in the Department of Radiology at the University of California, San Francisco (UCSF), School of Medicine. His interdisciplinary research focuses on applying computational methods and graph theory to biomedical applications, particularly in neuroimaging and brain connectivity. He leads research teams in NIH-funded projects on neurodegenerative diseases, including Alzheimer's and Parkinson's, leveraging structural and functional connectome analysis. Raj has over 70 peer-reviewed publications, two US patents, and prestigious awards like the NIH EUREKA Award and BRAIN Initiative grants. Education: PhD in Electrical and Computer Engineering from Cornell University (2005) and BE in Electrical Engineering from the University of Auckland (1998). Research interests include modeling brain network dynamics, tau and amyloid pathology progression, and developing algorithms for accelerated MRI and motion correction. His work bridges computer science, neuroradiology, and clinical neuroscience, aiming to advance precision medicine in neurology and radiology. Key achievements include pioneering mathematical models of brain connectivity networks and developing novel imaging techniques like tractography and Q-ball imaging. His lab explores network diffusion models to predict disease progression and has contributed to understanding microglial roles in tauopathy. Grants and collaborations span NIH-funded projects on network-based disease modeling, with a focus on translational applications. He directs the Brain Networks Laboratory, advancing computational neurology and multimodal data integration.

Carlos Yeroمشاهده پروفایل

استادیار

• Short-range nuclear physics
• Nuclear instrumentation
• Spectrometers
• +۴ مورد دیگر

Dr. Carlos Yero is an Assistant Professor in the Department of Physics at Catholic University of America's School of Arts and Sciences. He specializes in experimental nuclear physics, with research focusing on short-range nuclear phenomena, deuteron structure, and color transparency effects. Dr. Yero earned his Ph.D. from Florida International University in 2020, where his dissertation centered on deuteron electro-disintegration experiments using the Super High Momentum Spectrometer (SHMS) at Jefferson Lab. His current research examines short-range nuclear correlations through deuteron electro-disintegration and nuclear transparency phenomena. Dr. Yero maintains active affiliations with Jefferson Lab, where he coordinates experiments and mentors graduate students from Florida International University and Old Dominion University. He received a National Science Foundation research grant in 2022 to advance his investigations into short-range nuclear physics. Recent publications demonstrate Dr. Yero's focus on nuclear structure measurements, quantum chromodynamics phenomena, and precision instrumentation development. His work frequently appears in high-impact nuclear and particle physics journals, covering topics from parton fragmentation functions to gluonic gravitational form factors. National Science Foundation Research Grant (2022)