Black carbon, paleoenvironment, indoor air pollution, biomass burning, exposure-health
Statistical signal processing, adaptive beamforming, tracking and estimation, air-traffic control automation systems
Critical Care, ICU, Intensive Care, ICU readmission, LMIC, Global Health
A Clinical Microbiologist and Infectious Diseases Specialist.
Senior Bioinformatics Specialist, Center for Molecular Dynamics Nepal (CMDN). University of Tampere, Finland.
Ensemble Deep Learning, Deep Learning, Neural Networks, Pattern Recognition
- Adjunct Associate Professor at Columbia University - Founder and CEO of FuseMachines Inc. EDUCATION PhD, MPhil, MS in Computer Science, Columbia University BS in Math and Physics, Bates College
Machine Learning, Text Mining
Development of portable devices for food and water quality monitoring and material characterization
Research Assistant at Virginia Tech, Visiting Scholar at the University of Technology Sydney
Immunologist with focus on virology
Thin-film solar cells; Color sensor; Color imaging; Computational Electromagnetic Physica
Research Scientist at Center for Molecular Dynamics Nepal. Production Manager at Biovac Nepal Pvt. Ltd. Lab Manager at Intrepid Nepal Pvt. Ltd. - Molecular Biology lab
Machine learning, Computer architecture, High-performance computing with GPUs, Graph analytics
Neuroimaging, Parkinson's disease, Deep brain stimulation, Brain networks, Language processing
Public Health, One Health, Infectious diseases, Waterborne diseases, Molecular epidemiology
MRI, signal processing.
Nutritionist Dietitian Epidemiologist
Software Engineering; generative models;natural language processing
Professor of Economics at the Massachusetts Institute of Technology and is affiliated with the National Bureau of Economic Research where he co-founded and directs the working group on market design.
Postdoctoral Researcher at the University of Bordeaux, Bordeaux France Ph.D. in Molecular Genetics from the University of Glasgow, Glasgow, UK
Niranjan Parajuli is a biochemist, biotechnologist, and a professor of chemistry at Tribhuvan University. He specializes in genetic manipulations in bacterial strains and protein engineering towards the development of new metabolites, including antibiotics. He has also, developed high-throughput and ultra-high-throughput screen techniques for some proteins.
Electrophysiologist
Electro-Optics, Photonics, Computational electromagnetics, Transformation optics and Optical communication
Machine Learning, Data Science, Deep Learning, Graph Neural Networks, Graph Representation Learning, Geometric Deep Learning, Computer Vision, Natural Language Processing
A Medical Microbiologist passionate in creating quality research and education that helps in the fields of Science, Technology, Innovation and promote its community by generating tangible outcomes. QA/QC/QbD practitioner at Pharmaceutical & Medical Device Industry .
Pharmaceutical technology, drug delivery system, pharmceutical analytical technology, nanoparticles, formulation
Deep Learning
I am working on cell based biomimetic nanoparticulate (extracellular vesicles) system for cancer target drug delivery and imaging.
Bacterial natural product biosynthesis and engineering!
Computational Biology, Genomics, Machine Learning, Chromatin Biology, CRISPR Screening, Cancer Biology, Single cell biology, Bioinformatics
GIS/RS, Health Geography, Spatial Epidemiology
Plant-insect interactions; Biogeographic variations on biotic interactions; Spread of invasive species; Geocomputational methods in Ecology and Agricultural Sciences
Plant Biotechnology, Natural fiber, Biofuel, Bioenergy
Assistant Professor (P), Medicine - Endocrinology, Diabetes, and Metabolism , Department of Medicine
Microbiome and Immuno-Oncology, Software Development
Power Electronics, Power Converter Design and Control
He focuses on information retrieval using natural language processing and computer vision techniques.
Medical Image Analysis, Learning Theory, Bayesian Inference, Computer Vision
Network Economics, Game Theory, Wireless Networks, URLLC, Distributed Machine Learning
Research area: Inorganic Chemistry, Organometallic Chemistry, Homogeneous Catalysis, Silicon Chemistry, Phosphines Chemistry