Ashish Kumar

Shelf

Academic research papers and publications in machine learning, distributed systems, and AI ethics.

ACADEMIC RESEARCH
IEEE-2024-0847
ROLE
Lead Author / Researcher
CONTEXT
IEEE Conference / Research Paper
YEAR
2024

Optimizing Neural Network Inference on Edge Devices

Proposed a novel quantization technique that reduces model size by 75% while maintaining 98% accuracy for real-time inference on IoT devices.

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ACADEMIC RESEARCH
ACM-2024-1293
ROLE
Co-Author / Researcher
CONTEXT
ACM SIGKDD / Research Paper
YEAR
2024

Federated Learning for Privacy-Preserving Healthcare Analytics

Developed a federated learning framework enabling hospitals to collaboratively train ML models without sharing sensitive patient data.

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ACADEMIC RESEARCH
ARXIV-2023-5621
ROLE
Co-Author / Researcher
CONTEXT
ArXiv Preprint / Research Paper
YEAR
2023

Attention Mechanisms for Multi-Modal Data Fusion

Introduced a cross-attention architecture for combining visual, textual, and audio inputs in real-time classification tasks.

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ACADEMIC RESEARCH
MTech-THESIS-2022
ROLE
Author / Researcher
CONTEXT
M.Tech Thesis / IIT Delhi
YEAR
2022

Distributed Genetic Algorithms for Resource Allocation in Cloud Computing

Proposed a Differential Evolution Genetic Algorithm with chaotic mapping and asynchronous communication to optimize complex scheduling problems in cloud environments.

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