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.
Immune tolerance, Regulatory T cells, CD4 T cells, Cell signaling, Mass spectroscopy, RNAseq, Immunotherapy.
Biomarker discovery, gene expression analysis, Big Data, Microarrays, Proteomics, organ transplantation, kidney disease, mass spectrometry, molecular assay development, ELISA, antibody profiling, clinical assay development, transnational research, single cell analysis
Household air pollution and risk of Tuberculosis infection and disease, and pneumonia in children, Environmental and occupational impacts of lead from battery manufacturing and recycling processes, and lead-based paint in developing countries, Environmental and Occupational Health, Climate Change
Spiking Neural Network, Neural Network, Machine Learning, Learning, Image Processing, Pattern Recognition
Human Computer Interaction, Active Machine Learning, Activity Recognition, Personal Health Informatics, Mobile Health, Digital Phenotyping, Computational Physical Behavior Modeling, Just-in-time, adaptive intervention
Structural anyalysis; Materials synthesis and characterization
Nanomedicine, Bio-Nanotechnology, Nanoengineering, Regenerative Medicine, Tissue Engineering
Computer Networks, Sensor Networks, Distributed Systems, wireless and sensor networks, network protocols and architectures, mobile sensing, social networks, distributed systems, IoT, and Internet Technologies
Infectious Diseases, Microbiology, Arbovirology, Immunology, Ecology, Animal Modeling, Mathematical Modeling, Vector Biology
Robotics, Machine Learning, Artificial Intelligence, Memory-Augmented Neural Networks, Neuroevolution
Environmental epidemiology: climate change & health, air pollution & health, disaster & health, effects of environmental factors on the development of NCDs etc; infectious diseases: VBDs, WBDs, and tuberculosis; WASH and occupational health issues; data analysis & modeling.
Deep Learning, Computer Vision, Artificial Intelligence, Natural Language Processing
Molecular epidemiology, microbiology
Biomedical public-health, Molecular Epidemiology, Antibiotic Resistiance, Infectious Diseases, Cancer
Distribution Theory, Applied Statistics, Reliability Analysis, Survival Analysis, Longitudinal Data Analysis
Computational Geometry, Pattern Recognition, Analysis of Algorithms, Robot Motion Planning, Unmanned Aerial Systems Expertise, Trajectory Planning for UAS, Covert Path Planning and Threat Modeling, Sensor Assisted Target Recognition, Monitoring and Surveillance
Organic chemistry, nanotechnology, polymer chemistry, formulation scientist, and medicinal and aromatic plants researcher
1. Scientific Manager at Center for Health and Disease Studies Nepal (CHDS); 2. Lecturer at Nobel College. Infectious diseases; Cancer Biology
Virology, Translation, Vaccine, microbiology
Resilience of super high-rise, complex, and critical structures subject to multiple natural hazards including earthquakes and windstorms through experimental testing and multi-scale numerical and hybrid simulations, Structural Engineering, Earthquake Engineering, Seismic Isolation, Structural Dynamics
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
Structural earthquake engineering, earthquake engineering, seismic vulnerability of reinforced concrete structures, heritage and monuments, local seismic culture, next generation performance based earthquake engineering (PBEE-2)
Machine Learning, Deep Learning, Artificial Intelligence, Neuroscience, Differential Geometry, feedforward and recurrent, supervised learning, unsupervised learning, (inverse) (deep) reinforcement learning, Bayesian statistics, Riemann geometry and dynamical systems theory