Bapi Chatterjee Email and Phone Number
Bapi Chatterjee work email
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Bapi Chatterjee personal email
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Assistant Professor at the IIIT-Delhi. Active research areas: Distributed Machine Learning, Federated Learning, Concurrent Data Structures; with a specific focus on distributed/decentralized Asynchronous ML. Previously worked on Blockchains, Databases, and Topological Data Analysis.Technical Expertise: Python, PyTorch, Java, C/C++, Golang, Hyperledger Fabric, C#, MATLAB, CUDA, MPI, OpenMP, Docker.
Indraprastha Institute Of Information Technology, Delhi
View- Website:
- ece.iiitd.ac.in
- Employees:
- 8
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Assistant ProfessorIndraprastha Institute Of Information Technology, DelhiNew Delhi, Dl, In -
Assistant ProfessorIndraprastha Institute Of Information Technology, Delhi Aug 2021 - PresentNew Delhi, Delhi, India -
Postdoc FellowInstitute Of Science And Technology Austria Nov 2018 - May 2021Klosterneuburg, Lower Austria, Austria -
Visiting ScientistEmbedl Nov 2020 - Apr 2021Gothenburg, Vastra Gotaland County, Sweden -
ResearcherIbm India Research Lab Oct 2016 - Oct 2018New Delhi Area, India
Bapi Chatterjee Skills
Bapi Chatterjee Education Details
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Computer Science And Engineering -
Computer Application -
Mathematics
Frequently Asked Questions about Bapi Chatterjee
What company does Bapi Chatterjee work for?
Bapi Chatterjee works for Indraprastha Institute Of Information Technology, Delhi
What is Bapi Chatterjee's role at the current company?
Bapi Chatterjee's current role is Assistant Professor.
What is Bapi Chatterjee's email address?
Bapi Chatterjee's email address is bh****@****ail.com
What schools did Bapi Chatterjee attend?
Bapi Chatterjee attended Chalmers University Of Technology, Indian Institute Of Technology, Delhi, Indian Institute Of Technology, Delhi.
What are some of Bapi Chatterjee's interests?
Bapi Chatterjee has interest in Matlab, Scientific Programming, Parallel Programming, Concurrent Lock Free Data Structures, Gpgpu, Cuda.
What skills is Bapi Chatterjee known for?
Bapi Chatterjee has skills like C++, C, Java, C#, Matlab, Cuda, Mpi, Openmp, High Performance Computing, Latex, Parallel Computing, Parallel Programming.
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