Engin İpek

ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments

Human-level control through deep reinforcement learning

Automated Search for new Quantum Experiments

Fully hardware-implemented memristor convolutional neural network

An object-oriented representation for efficient reinforcement learning

A survey on FinTech

Deep Learning for Health Informatics

Building Information Modeling (BIM) for existing buildings — Literature review and future needs

Energy-aware task assignment for mobile cyber-enabled applications in heterogeneous cloud computing

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Reinforcement learning improves behaviour from evaluative feedback

The future of electronics based on memristive systems

Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm

Emotion Communication System

Enhancing environmental sustainability over building life cycles through green BIM: A review

Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

In-memory computing with resistive switching devices

Massively parallel probabilistic computing with sparse Ising machines

Resistive RAM-Centric Computing: Design and Modeling Methodology

Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications

Efficiently exploring architectural design spaces via predictive modeling

Self-Optimizing Memory Controllers

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

Resistive computation

Efficiently exploring architectural design spaces via predictive modeling

Phase-Change Technology and the Future of Main Memory