Scholar
Joy Bose
Google Scholar ID: 1E0YgA4AAAAJ
Senior Data Scientist at Ericsson, previously in Samsung, Microsoft, Embibe
Machine learning
spiking neural networks
EEG/BCI
large language models
deep learning
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Citations & Impact
All-time
Citations
414
H-index
10
i10-index
12
Publications
20
Co-authors
39
list available
Contact
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Publications
6 items
Pendulum Model of Spiking Neurons
2025
Cited
0
Predicting Locations of Cell Towers for Network Capacity Expansion
2025
Cited
0
A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
2025
Cited
0
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
2025
Cited
0
A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
International journal of mathematical, engineering and management sciences · 2025
Cited
0
Static Program Analysis Guided LLM Based Unit Test Generation
2025
Cited
0
Resume (English only)
Background
Currently a Data Scientist at Ericsson, Bangalore.
Over 15 years of experience in the tech industry, spanning software engineering, machine learning, and artificial intelligence.
Research interests include Generative AI, intelligent systems in telecom, AI ethics, fairness, and the motivations behind human decision-making.
Integrates insights from psychology, ethics, and contemplative practices like meditation into reflections on AI and the future of work.
Explores how technological and societal systems shape human agency, identity, and meaning.
Co-authors
39 total
Co-author 1
Steve Furber
Professor Emeritus, Department of Computer Science, The University of Manchester, UK
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
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