Michael Birbas

About Michael Birbas

Michael Birbas, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Patras, specializes in the field of Embedded Systems, Smart Grid applications, Hardware accelerators, Edge Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cloud-edge architecture with virtualized hardware functionality for real-time diagnosis of transients in smart grids

Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis

Hardware Accelerators based on wavelets for detection of Transient phenomena in smart grids

Deep learning-based application for fault location identification and type classification in active distribution grids

A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications

Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework

An Adaptive Downsampling FPGA-Based TDC Implementation for Time Measurement Improvement

ConvLSTM-based fault detection and classification in active distribution grids

Michael Birbas Information

University

Position

Assistant Professor at Dept of Electrical and Computer Engineering of

Citations(all)

556

Citations(since 2020)

272

Cited By

371

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

14

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Michael Birbas Skills & Research Interests

Embedded Systems

Smart Grid applications

Hardware accelerators

Edge Computing

Top articles of Michael Birbas

Cloud-edge architecture with virtualized hardware functionality for real-time diagnosis of transients in smart grids

IEEE Transactions on Cloud Computing

2023/2/2

Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis

2023/11/20

Hardware Accelerators based on wavelets for detection of Transient phenomena in smart grids

2023/6/28

Deep learning-based application for fault location identification and type classification in active distribution grids

Applied Energy

2023/5/15

A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications

Energies

2023/5/14

Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework

Systems

2023/2/11

An Adaptive Downsampling FPGA-Based TDC Implementation for Time Measurement Improvement

Chips

2022/11/8

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

ConvLSTM-based fault detection and classification in active distribution grids

2022/7/20

Alexios Birbas
Alexios Birbas

H-Index: 8

Michael Birbas
Michael Birbas

H-Index: 6

Optimal relocation of virtualized pdc in edge-cloud architectures under dynamic latency conditions

2022/7/20

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

Deep reinforcement learning acceleration for real-time edge computing mixed integer programming problems

IEEE Access

2022/1/28

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

A forecasting model for predicting electricity day-ahead market prices for scheduling industrial applications

2022/1/1

Sustainable energy aware industrial production scheduling

2022

Efficient Utilization of FPGA Multipliers for Convolutional Neural Networks

2021/7/5

Real-time transient state estimation in smart grids utilizing industrial lot data

2021/6/7

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

FPGA-ENABLED REAL-TIME POWER GRID SIMULATION USING GRID PARTITIONING

2021/1/1

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

Short term electric load forecasting based on data transformation and statistical machine learning

Applied Sciences

2020/12/26

A hybrid cyber physical digital twin approach for smart grid fault prediction

2020/6/10

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

A Zynq-based robotic system for treatment of contagious diseases in hospital isolated environment

Technologies

2020/5/15

Michael Birbas
Michael Birbas

H-Index: 6

Deep CNN sparse coding for real time inhaler sounds classification

Sensors

2020/4/21

Michael Birbas
Michael Birbas

H-Index: 6

Konstantinos Moustakas
Konstantinos Moustakas

H-Index: 24

An automatic design framework for real-time power system simulators supporting smart grid applications

Electronics

2020/2/9

Michael Birbas
Michael Birbas

H-Index: 6

Alexios Birbas
Alexios Birbas

H-Index: 8

See List of Professors in Michael Birbas University(University of Patras)