Match tier Confirmed
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-08-20

Mariofanna 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); Rensselaer Polytechnic Institute (2005–2010); Universidade do Porto (2000); Xavier University (2018); Norwegian University of Science and Technology (2009); Bulgarian Academy of Sciences (2001–2002); Technical University of Sofia (1996); Universidade Politecnica (1999); Institute of Mechanical Engineering and Industrial Mangement (2002); Quality Research (2025); University of Louisville Hospital (2001); Utah AIDS Foundation (2008); Arkansas Department of Agriculture (2017–2024); South University (2013); Sofia University "St. Kliment Ohridski" (1997); Instituto Politécnico Nacional (2002); University of Aveiro (2012)

Faculty Researcher

18 h-index 178 pubs 1,152 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 Milanova's research focuses on the application of advanced computational techniques, including deep learning and machine learning, to diverse fields. Her work in medical research investigates the assessment and treatment of negative symptoms in schizophrenia, exploring regional perspectives on the condition. This includes developing novel EEG classification methods utilizing Hellinger distance for improved seizure epilepsy detection. Milanova also applies deep learning to other domains, such as developing robust hybrid deep learning models for financial time series forecasting and analyzing the performance of model-compression techniques for audio classification on edge devices. Her research extends to computer vision, with work on identifying and tracking railway bogie parts and creating optimized eye-gaze writing systems. She also has experience with markerless 3D virtual try-on systems. Milanova has received federal funding from the NSF for an I-Corps project focused on a computer vision-based intelligent service recommendation system. She leads a research group and collaborates with several colleagues at the University of Arkansas at Little Rock, with whom she has co-authored multiple publications. Her scholarly contributions are reflected in an h-index of 17 and over 1,100 citations.

Metrics

  • h-index: 18
  • Publications: 178
  • Citations: 1,152

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
  • 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 18 citations DOI OpenAlex
  • LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)
    Sci 71 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 24 citations DOI OpenAlex
  • Deep learning based identification and tracking of railway bogie parts (2024)
    Alexandria Engineering Journal 12 citations DOI OpenAlex

View all publications on OpenAlex →

Federal Grants 1 $50,000 total

Collaboration Network

75 Collaborators 24 Institutions 8 Countries

Top Collaborators

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