World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
11222
World Ranking
8204
National Ranking
3517

Electronics and Electrical Engineering

D-Index
41
Citations
10900
World Ranking
4202
National Ranking
1506

Overview

Andreas Spanias is affiliated with Arizona State University in the United States. Their research spans the fields of Computer Science and Engineering, with notable contributions in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, and Computer Networks and Communications.

Spanias has published extensively on topics that include Photovoltaic System Optimization Techniques, Solar Radiation and Photovoltaics, CCD and CMOS Imaging Sensors, Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, Advanced Neural Network Applications, and Advanced Graph Neural Networks.

Frequent co-authors of Spanias encompass Vivek Narayanaswamy, Sameeksha Katoch, Gowtham Muniraju, Jayaraman J. Thiagarajan, and Cihan Tepedelenlioğlu.

Spanias's research output includes papers such as:

  • "Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays" (2021, IEEE Access)
  • "Machine Learning for Solar Array Monitoring, Optimization, and Control" (2020, Synthesis Lectures on Power Electronics)
  • "DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms" (2020, Scientific Reports)
  • "PV Fault Detection Using Positive Unlabeled Learning" (2021, Applied Sciences)
  • "Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks" (2023, IEEE Access)

Spanias's publications appear frequently in venues including arXiv (Cornell University), IEEE Access, Intelligent Decision Technologies, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Additionally, Spanias has contributed to book publications through Morgan & Claypool Publishers. Titles include:

  • "Machine and Deep Learning Algorithms and Applications" (2022)
  • "Machine Learning for Solar Array Monitoring, Optimization, and Control" (2020)
  • "Positive Unlabeled Learning" (2022)

Best Publications

  • Perceptual coding of digital audio

    T. Painter;A. Spanias

  • Speech coding: a tutorial review

    A.S. Spanias

  • Attend and diagnose: Clinical time series analysis using attention models

    Huan Song;Deepta Rajan;Jayaraman J. Thiagarajan;Jayaraman J. Thiagarajan;Andreas Spanias

  • Audio Signal Processing and Coding

    Andreas Spanias;Ted Painter;Venkatraman Atti

  • Smart-antenna systems for mobile communication networks. Part 1. Overview and antenna design

    S. Bellofiore;C.A. Balanis;J. Foutz;A.S. Spanias

  • A brief survey of machine learning methods and their sensor and IoT applications

    Uday Shankar Shanthamallu;Andreas Spanias;Cihan Tepedelenlioglu;Mike Stanley

  • Cepstrum-based pitch detection using a new statistical V/UV classification algorithm

    S. Ahmadi;A.S. Spanias

  • Sparse representations for automatic target classification in SAR images

    Jayaraman J. Thiagarajan;Karthikeyan N. Ramamurthy;Peter Knee;Andreas Spanias

  • Smart antenna system analysis, integration and performance for mobile ad-hoc networks (MANETs)

    S. Bellofiore;J. Foutz;R. Govindarajula;I. Bahceci

  • Smart-antenna system for mobile communication networks .Part 2. Beamforming and network throughput

    S. Bellofiore;J. Foutz;C.A. Balanis;A.S. Spanias

  • Narrowband Direction of Arrival Estimation for Antenna Arrays

    Unknown

  • Autoregressive modeling and feature analysis of DNA sequences

    Niranjan Chakravarthy;A. Spanias;L. D. Iasemidis;K. Tsakalis

  • Porphyrins-Functionalized Single-Walled Carbon Nanotubes Chemiresistive Sensor Arrays for VOCs.

    Mahendra D. Shirsat;Tapan Sarkar;James Kakoullis;Nosang V. Myung

  • A review of algorithms for perceptual coding of digital audio signals

    T. Painter;A. Spanias

  • Interactive online undergraduate laboratories using J-DSP

    A. Spanias;V. Atti

  • High-performance alphabet recognition

    P.C. Loizou;A.S. Spanias

  • Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure

    Visar Berisha;Alan Wisler;Alfred O. Hero;Andreas Spanias

  • Transform methods for seismic data compression

    A.S. Spanias;S.B. Jonsson;S.D. Stearns

  • Automatic assessment of vowel space area.

    Steven Sandoval;Visar Berisha;Rene L. Utianski;Julie M. Liss

  • Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds

    G. Wichern;Jiachen Xue;H. Thornburg;B. Mechtley

  • Estimation Over Fading Channels With Limited Feedback Using Distributed Sensing

    M.K. Banavar;C. Tepedelenlioglu;A. Spanias

  • Smart antennas for wireless communications

    S. Bellofiore;J. Foutz;C.A. Balanis;A. Spanias

Frequent Co-Authors

Cihan Tepedelenlioglu
Cihan Tepedelenlioglu Arizona State University
Philipos C. Loizou
Philipos C. Loizou The University of Texas at Dallas
Pavan Turaga
Pavan Turaga Arizona State University
Constantinos S. Pattichis
Constantinos S. Pattichis University of Cyprus
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Linda A. Hinnov
Linda A. Hinnov George Mason University
Raja Ayyanar
Raja Ayyanar Arizona State University
Constantine A. Balanis
Constantine A. Balanis Arizona State University
Tolga M. Duman
Tolga M. Duman Bilkent University
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor

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