Network Economics, Game Theory, Wireless Networks, URLLC, Distributed Machine Learning
Ensemble Deep Learning, Deep Learning, Neural Networks, Pattern Recognition
A Clinical Microbiologist and Infectious Diseases Specialist.
Postdoctoral Researcher at the University of Bordeaux, Bordeaux France Ph.D. in Molecular Genetics from the University of Glasgow, Glasgow, UK
Oncoproteins, Cell cycle, Virology, Cancer research
Electro-Optics, Photonics, Computational electromagnetics, Transformation optics and Optical communication
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
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.
Neuroimaging, Parkinson's disease, Deep brain stimulation, Brain networks, Language processing
GIS/RS, Health Geography, Spatial Epidemiology
Black carbon, paleoenvironment, indoor air pollution, biomass burning, exposure-health
Senior Bioinformatics Specialist, Center for Molecular Dynamics Nepal (CMDN). University of Tampere, Finland.
Pulmonary and Critical Care Medicine
Plant-insect interactions; Biogeographic variations on biotic interactions; Spread of invasive species; Geocomputational methods in Ecology and Agricultural Sciences
He focuses on information retrieval using natural language processing and computer vision techniques.
Thin-film solar cells; Color sensor; Color imaging; Computational Electromagnetic Physica
Higher Education, Policy, Community College, Workforce Development, Talen Pipeline
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.
Research area: Inorganic Chemistry, Organometallic Chemistry, Homogeneous Catalysis, Silicon Chemistry, Phosphines Chemistry
Machine learning, Computer architecture, High-performance computing with GPUs, Graph analytics
- 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
Public Health, One Health, Infectious diseases, Waterborne diseases, Molecular epidemiology
Medical Image Analysis, Learning Theory, Bayesian Inference, Computer Vision
Immunologist with focus on virology
Computational Biology, Genomics, Machine Learning, Chromatin Biology, CRISPR Screening, Cancer Biology, Single cell biology, Bioinformatics
Pharmaceutical technology, drug delivery system, pharmceutical analytical technology, nanoparticles, formulation
Bacterial natural product biosynthesis and engineering!
Electrophysiologist
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 .
Machine Learning, Data Science, Deep Learning, Graph Neural Networks, Graph Representation Learning, Geometric Deep Learning, Computer Vision, Natural Language Processing
Research Assistant at Virginia Tech, Visiting Scholar at the University of Technology Sydney
Plant Biotechnology, Natural fiber, Biofuel, Bioenergy
Machine Learning, Text Mining
Deep Learning
I am working on cell based biomimetic nanoparticulate (extracellular vesicles) system for cancer target drug delivery and imaging.
MRI, signal processing.
Statistical signal processing, adaptive beamforming, tracking and estimation, air-traffic control automation systems
Development of portable devices for food and water quality monitoring and material characterization
Critical Care, ICU, Intensive Care, ICU readmission, LMIC, Global Health
Software Engineering; generative models;natural language processing
Power Electronics, Power Converter Design and Control