Avisek Naug
9 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Reinforcement Learning
(6)
Core AI
(6)
Learning Types · Machine Learning
(5)
Methods
(4)
Deep Learning
(3)
Application Areas
(3)
Applications
(3)
Core Methods
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Architectures
(1)
Clinical
(1)
Keywords
reinforcement learning
(5)
multi-agent system
(3)
data center
(3)
image classification
(3)
sustainable computing
(3)
multi-agent reinforcement learning
(3)
carbon footprint
(2)
adversarial attack
(2)
workload scheduling
(2)
signal classification
(1)
model interpretability
(1)
query efficiency
(1)
energy efficiency
(1)
real-time control
(1)
visual explanation
(1)
proximal policy optimization
(1)
adversarial training
(1)
black-box attack
(1)
model evaluation
(1)
energy optimization
(1)
Papers
Fast 3D Surrogate Modeling for Data Center Thermal Management
AAAI 2026
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
AAAI 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness
WACV 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
AAAI 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
AAAI 2024
Sustainability of Data Center Digital Twins with Reinforcement Learning
AAAI 2024
SustainDC: Benchmarking for Sustainable Data Center Control
NeurIPS 2024
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
IJCAI 2023