Match tier Confirmed
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-10-09

Mariofanna G. Milanova

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Professor

Also affiliated: University of Louisville (2001–2002); Emory University (2006); Universidade de São Paulo (1999); Universidade do Porto (2000–2002); Xavier University (2018); Norwegian University of Science and Technology (2009); Bulgarian Academy of Sciences (2001–2002); University of Arkansas System (2004–2025); Technical University of Sofia (1996); Sofia University "St. Kliment Ohridski" (1997); Instituto Politécnico Nacional (2002); University of Aveiro (2012)

18 h-index 178 pubs 1,179 cited

  • Algorithms
  • Evoked Potentials
  • Artificial Intelligence
  • Natural Language Processing
  • Bias
  • Animals
  • Brain
  • Computational Biology
  • Rats
  • Humans
  • Image Processing, Computer-Assisted
  • Medical Informatics
  • United States

Biography and Research Information

OverviewAI-generated summary

Mariofanna G. Milanova is a professor at the University of Arkansas at Little Rock, with a research focus that spans machine learning, artificial intelligence, and computational methods. Her work investigates the application of deep learning models, such as LSTMs and Transformers, for complex tasks like financial time series forecasting and audio classification on edge devices. Milanova has also explored the performance impacts of various techniques, including data augmentation and model-compression methods, within TensorFlow convolutional neural networks.

Her research group has been involved in projects funded by the National Science Foundation (NSF), including an I-Corps award for developing a computer vision-based intelligent service recommendation system. Milanova's publication record includes work on algorithms, natural language processing, and computational biology, alongside studies in areas like visual attention in deep learning and information flow analysis. She is recognized as a high-impact researcher, with a notable publication count and citation record.

Metrics

  • h-index: 18
  • Publications: 178
  • Citations: 1,179

Positions

  • Professor 2001–present
    University of Arkansas at Little Rock Computer Science ORCID
  • Visiting Professor 2000–2001
    University of Lousville Electrical & Computer Engineering ORCID

Selected Publications

  • Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
    AI Computer Science and Robotics Technology DOI OpenAlex
  • Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
    AI Computer Science and Robotics Technology DOI OpenAlex
  • Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring (2025)
    Computers 2 citations DOI OpenAlex
  • Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation (2025)
    Lecture notes in networks and systems 1 citation DOI OpenAlex
  • Entity Resolution Using Transformers for Synthetic Datasets (2025)
    Smart innovation, systems and technologies DOI OpenAlex
  • Deep Neural Network with RIS-Powered Wireless Communication Systems for Channel Modeling (2025)
    Lecture notes in computer science DOI OpenAlex
  • Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
    Lecture notes in computer science DOI OpenAlex
  • Unveiling Alzheimer’s Progression: AI-Driven Models for Classifying Stages of Cognitive Impairment Through Medical Imaging (2025)
    Lecture notes in computer science 6 citations DOI OpenAlex
  • Large Language Models for Classification of Functional and Nonfunctional Requirements (2025)
    Lecture notes in computer science DOI OpenAlex
  • Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects (2025)
    Lecture notes in computer science 2 citations DOI OpenAlex
  • A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing (2025)
    Sci 20 citations DOI OpenAlex
  • LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)
    Sci 83 citations DOI OpenAlex
  • Novel EEG feature selection based on hellinger distance for epileptic seizure detection (2025)
    Smart Health 14 citations DOI OpenAlex
  • Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods (2024)
    JMIR Medical Informatics 2 citations DOI OpenAlex
  • Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection (2024)
    IEEE Access 25 citations DOI OpenAlex

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Federal Grants 1 $50,000 total

Collaboration Network

172 Collaborators 78 Institutions 25 Countries

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