Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation
- Updated
Aug 7, 2024 - Python
Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation
Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this paper is pulished in ICC 2024.
Prediciton of loads in data centers using Machine Learning (ML) Models
Adaptive Sparse Training (AST): 92.1% ImageNet-100 accuracy with 61% energy savings and zero degradation. Production-ready implementations for energy-efficient deep learning with ResNet50 and modern architectures.
Auto Solar Street Light Controller – LDR and IR-based energy-efficient lighting system with comparator and relay logic (2018-19)
CSE 614 Term Project
Novel blockchain consensus mechanism replacing energy-intensive mining with productive federated learning. Miners collaborate to train AI models, with winners selected through democratic voting.
Advanced IoT environmental monitoring system using ESP8266 microcontroller and DHT22 sensor for temperature/humidity tracking with intelligent data transmission and energy-efficient deep sleep modes.
Chinese Building Energy-Efficient Design Datasets
Hechler, deLange, Riedl (2024). Confidence saves energy. Replication code and data.
An energy-efficient neuron activation system for AI models. Concept by Baris (2025).
AER Decentralized Unstoppable Cryptocurrency
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