AbhinavNepal is an open and growing crowdsourced platform that can used by anyone to find active Nepali scholars and scientists working all over the world in any academic fields.
However we need your help to keep this going in a sustainable way without any advertisements and commercial interests. If everyone who finds this platform useful, helps to support it, it's future would be much more secure. Thank you.
Machine Learning, Data Mining, Big data, Bio-informatics, computational biology.
Graph theory, optimization, machine learning, computer vision, detection, tracking, and image segmentation problems.
Applied mathematics, Mathematical biology (viral dynamics and immune systems, epidemiology, and ecology), mathematical and computational modeling, differential equations, dynamical systems, optimal control, and biostatistics
Machine learning, optimization, inverse problems, model personalization and predictive modeling, cardiac electrophysiology, statistical inference methods, uncertainty estimation and quantification of model parameters
Smart grid, Vehicle-to-grid (V2G), Network security and resilience, Vehicular communication, 5G, machine-to-machine communications, software defined wireless networking
Numerical Methods for Partial Differential Equations, Mixed and Hybrid Finite Element Methods, Domain Decomposition Methods, Non-conforming Discretization Techniques, Nearly Incompressible Elasticity, Approximation Theory, Subset Selection & Variational Methods in Image Processing.
Air Quality (ambient and indoor), aerosol optical depth, atmospheric chemistry, emissions from traditional and improved cook stoves, environmental issues in developing countries
Defect or Fault tolerant circuits and systems, Nanometer digital VLSI system design, Reconfigurable computing, Mobile Robotics, VLSI Design
Air pollution causes, "co-designing clean solutions rooted in sound science and carefully examined local context (technology, policy, regulation, finance, culture)", focus on Himalayan region , Air pollution/climate change science, air pollution mitigation Science policy society interfacing
Computer Vision, Visual SLAM, Optimization
Differential equations, nonlinear monotone operator theory in Banach spaces, topological degree theories, and critical point theory with applications in sciences and engineering, Real analysis, Functional analysis
NeuroPhysics of the brain: Brain Networks and Dynamics, Computational and Cognitive Neuroscience, Neuroimaging (EEG/fMRI) of human cognition, Nonlinear Dynamics
Medical Imaging, Computer Vision, Image Segmentation, Multimodal/Monomodal Image Registration
Computer Vision, Visual SLAM, Optimization
Physical-Mathematical Modelling, Scientific Computing, Three-Dimensional Free-surface Flows, Fliud dynamics, Modeling and Simulation, Landslides, Avalanches
Statistical Genetics, Genetic Epidemiology, Bioinformatics
hydrology, water quality, Hydrological Modeling, Watershed Modeling, Neuro-Fuzzy, ANFIS, Rain
Computational geomechanics, including elastic-gravitational wave propagation, postearthquake relaxation, glacial isostatic adjustment, and microearthquakes.
Graphics Recognition, Document Analysis, Medical Imaging, Pattern Recognition, Computer Vision
Image Analysis, Computer Vision, Medical and Biomedical Image Processing, Image Registration, Image Segmentation
Dynamics and photophysical properties of fluorescent proteins using detailed all-atom molecular dynamics simulations
Bioinformatics, Cancer Genomics, Systems Medicine, Precision Oncology, Data Science
Radiomics and cancer imaging
High power ultrasonics, AcousticsSignal Processing, Computational Materials Science
Machine Learning, Water and health security in developing regions, Geography and the Environment
Radiation Oncology, Neuroimaging, Imaging, Computed Tomography, Magnetic Resonance Imaging, Cancer Imaging, PET Imaging
Machine Learning, Data Science, Recommender Systems, Collaborative Filtering, Deep Learning and Software Engineering
Hydrological modelling, forecasting, Risk and uncertainty analysis of hydrological models. Machine learning, data driven modelling, Bayesian networks
Building a real-time system that parses the non-verbal elements of communication in concert with the speech parsing activity, computer vision, machine learning
Natural language processing (NLP), Latent variable models (including quantum models) for compositional distributional semantics, community discovery using content and link analysis, answering complex questions, unsupervised learning of morphology, named entities and semantic relations
Distribution Theory, Applied Statistics, Reliability Analysis, Survival Analysis, Longitudinal Data Analysis