pawar321
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Brand new interactions and interfaces
Smooth support for design sizes of over 3W
devices or 10W pads
More rigorous design constraints, more
standardized processes
For enterprises, more professional users
Easy to use and quick to get started
The process supports design scales of 300
devices or 1000 pads
Supports simple circuit simulation
For students, teachers, creators
pawar321
Personal Info
Nickname pawar321
Certification Title Not Yet
Location United States
Company Claflin University
School Claflin University
Profession Teacher
Website https://www.claflin-computation.com/
Profile BiographyPawar is an Assistant Professor (tenure-track) in Department of Computer Science and Biology at Claflin University (https://www.claflin-computation.com/) with a Masters in Computer Science and a Ph.D. from Georgia State University, Atlanta. He’s also an co-founder of a Connecticut based AI (https://www.ai4hlth.org/product-profiles/ChestAi) company, ChestAi (https://www.chestai.org/), and a research affiliate at Yale University School of Medicine (https://campuspress.yale.edu/shrikantpawar). Until last year, he was an Associate Research Scientist at Yale Center for Genome Analysis. His dissertation was focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc.). If you share similar interests feel free to contact. You can browse some of the recent machine learning applications on GitHub in projects. The detailed list of credentials can be found at Claflin Profile, Linkedin, NCBI Bibliography or Google Scholar. https://orcid.org/0000-0002-6157-2462. Profile: https://www.claflin.edu/academics-research/faculty-research/meet-our-faculty/dr.-pawar-shrikant. AOL: pawarshrikant@aol.com; Proton: pawwar@proton.me; Tutanota: pawwar@tutanota.com; Discord id: pawar#7724, shrikant.pawar@yale.edu, Shrikantpawar3@icloud.com; pawarshrikant@zohomail.in; pawarshrikant@kolabnow.com. Field of Research/Study: Bioinformatics; Computational Biology; Data Science; Artificial Intelligence; Computer Vision. SC EPSCoR Research Expertise: https://scepscor.org/research-expertise-profiles-table/