Dr. Attila Biró

Dr. Attila Biró

Innovation and Technology Leader, 2xPhD (Informatics, Health Sciences)

PhD in Applied Mathematics [Fact Sheet]

Own Publications Pertaining to Theses

  1. A. Biró, A.A. Mir, L. Szilágyi, “Distribution-Free Cantelli-Bounded Longitudinal Risk Modeling for Pre-Infective Pneumonia Forecasting”, in IEEE 30th Jubilee International Conference on Intelligent Engineering Systems 2026 (INES 2026), Section: Computational Intelligence in Engineering, Budapest, Hungary, IEEE, 2026, pp. 457-464, [Online], Xplore IEEE
  2. A. Biró, L. Kovács, and L. Szilágyi, “Risk-Aware Genetic Algorithms for Reliable Triathlon Relays: A Cantelli-Regularized Applied Mathematics Pipeline”, in 2026 IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC), Brisbane, Australia, IEEE, 2026, pp. 000031-000038, [Online], Xplore IEEE
  3. A. Biró, L. Kovács, and L. Szilágyi, “Bioinformatics-Guided NSGA-II Pathway-Sparse Optimization for Interpretable Neurodegenerative Risk Detection”, in 2026 IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC), Brisbane, Australia, IEEE, 2026, pp. 000031-000038, [Online], Xplore IEEE
  4. A. Biró, L. Kovács, and L. Szilágyi, “A Bioinformatics-Driven, Biostatistical Pathway Framework with Multimodal Machine Learning for Athlete Burnout Prediction on Physiological Signals”, in 2026 IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC), Brisbane, Australia, IEEE, 2026, pp. 000031-000038, [Online], Xplore IEEE
  5. 2026.03.11 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Bayesian Biostatistical and Physiological Modeling for Optimal Triathlon Relay Team Assembly from Historical Results”, in IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI), Stará Lesná, Slovakia, IEEE, 2026, pp. 000707-000714, [Online], Xplore IEEE
  6. 2026.03.11 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Bioinformatics-Inspired Robust Smith–Waterman–Guided Lineup Optimization in Basketball Using HMM Surrogates, PWMs, and Cantelli-Bounded Genetic Algorithms”, in IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI), Stará Lesná, Slovakia, IEEE, 2026, pp. 000565-000572, [Online], Xplore IEEE
  7. 2026.03.11 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Adapting Hidden Markov Models and Local Alignment Algorithms for Real-Time Lineup Change Decisioning in Ice Hockey”, in IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI), Stará Lesná, Slovakia, IEEE, 2026, pp. 000379-000384, [Online], Xplore IEEE
  8. 2026.01.13 [A][Q1] - A. Biró, L. Kovács, L. Szilágyi, “Bioinformatics-Inspired IMU Stride Sequence Modeling for Fatigue Detection Using Spectral–Entropy Features and Hybrid AI in Performance Sports”, Sensors, MDPI, vol. 26, no.2, 525, 2026. [Online].
  9. 2025.12.29 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Disrupting the Critical 10 Seconds: An Optimization Framework for Lineup Changes and Strategy Shifts in Ice Hockey”, 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2025, pp. 000805-000812, [Online], Xplore IEEE.
  10. 2025.12.29 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Tactical Lineup Changes Simulation in Competitive High-Speed Team Sports via Hoeffding’s Inequality and Concentration Bounds”, 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2025, pp. 713-720, [Online], Xplore IEEE.
  11. 2025.12.15 [C] - A. Biró, L. Kovács, and L. Szilágyi, “Game-Based Learning and Gamified Efficiency for Team Performance Estimation in Professional Basketball”, IEEE 23rd International Conference on Emerging eLearning Technologies and Applications (ICETA), Stary Smokovec, Slovakia, 2025, pp. 95-100, [Online], Xplore IEEE.

Publications not Pertaining to Theses

  1. A. Biró, Gy. Kolumbán, L.B. Iantovics, “Risk-Calibrated Polypharmacy Graph Learning for Uncertainty-Aware Drug Combination Optimization”, in IEEE 30th Jubilee International Conference on Intelligent Engineering Systems 2026 (INES 2026), Section: Artificial Intelligence in Engineering, Budapest, Hungary, IEEE, 2026, pp. 053-058, [Online], Xplore IEEE
  2. A. Biró, L.B. Iantovics, L. Fekete, and Gy.L. Fekete, “Prototype of a multimodal AI system for vitiligo detection and mental health monitoring”, Frontiers in Medicine, Sec. Dermatology, 2025, volume 12. [Online].

Pending Research [Submitted / Under Review]

  1. 2026.09.23-25 [C][Pending Presentation] - A. Biró, M. Turcsányi, L. Szilágyi, “Fuzzy Semantic Recovery for Multilingual OCR in Self-Healing Testing Pipelines”, IEEE 24th International Symposium on Intelligent Systems and Informatics (SISY 2026), Section: Special Session on PhD Student Research in Applied Informatics, Pula, Croatia, 2026.
  2. 2026.09.23-25 [C][Pending Presentation] - A. Biró, L. Kovács, L. Szilágyi, “Coverage-Controlled Dynamic Voronoi Analysis for Tactical Space Optimization and Lineup Evaluation in Team Sports”, IEEE 24th International Symposium on Intelligent Systems and Informatics (SISY 2026), Section: Special Session on PhD Student Research in Applied Informatics, Pula, Croatia, 2026.
  3. 2026.08.28 [C][Pending Publication] -A. Biró, L. Kovács, and L. Szilágyi, “Bioinformatics-Inspired Pathway Modeling and Adaptive Control for Brain Tumor MRI Classification Using Hybrid Deep Learning and Biostatistics”, 23rd International Federation of Automatic Control (IFAC) World Congress, Section: Bio- and Ecological Systems - Modeling and Control of Biomedical Systems, Busan, Republic of Korea, 2026, pp. xx-xx, [Online]
  4. 2026.08.28 [C][Pending Publication] - J. Palatka, L. Dénes-Fazakas, A. Biró, L. Kovács, L. Szilágyi, “Hybrid CNN+ViT Architecture for Accurate Interstitial Lung Disease Classification”, 23rd International Federation of Automatic Control (IFAC) World Congress, Section: Bio- and Ecological Systems - Modeling and Control of Biomedical Systems, Busan, Republic of Korea, 2026, pp. xx-xx, [Online]

Courses

  1. “AI Literacy for All”, Dr. Péntek Márta , OE
  2. “Az optimális szabályozás alapjai” (Fundamentals of Optimal Control), Dr. Tar József Kázmér, OE
  3. “Biostatisztikai és szabályozástechnikai módszerek alkalmazása kórélettani modellezésben” (Application of Biostatistical and Control Engineering Methods in Pathophysiological Modeling), Dr. Ferenci Tamás, OE
  4. “Természet-Inspirált algoritmusok fejlesztése és alkalmazása” (Development and Application of Nature-Inspired Algorithms), Dr. Felde Imre Gábor, OE
  5. “Statisztikai hipotézisvizsgálat” (Statistical Hypothesis Testing), Dr. Takács Márta, OE
  6. “Mentális és érzelmi állapot monitorozása és meghatározása” (Monitoring and Determination of Mental and Emotional States), Dr. Kozlovszky Miklós, OE
  7. “Tudománykommunikáció” (Science Communication), Szigeti Gyula Péter, OE
  8. “English for Academic Purposes: Writing and Publication for PhD Students”, Tafferner-Gulyás Viktória, OE
  9. “Advanced methods in image processing and pattern recognition”, Dr. Szilágyi László, UMFST
  10. “Modelling of Nonlinear Systems”, Dr. Szilágyi Sándor Miklós, UMFST
  11. “Methodology of Scientific Research”, Dr. Manuela Rozalia Gabor, UMFST
  12. “Ethics in Scientific Research and Intellectual Property”, Dr. Petruta Blaga, UMFST

Certificates

Awards

Scientific Journal Special Editon Editor

[ MDPI Sensors ][ BMC Sports Science Medicine and Rehabilitation ][ MDPI Applied Sciences ]

Teaching Activities

Session Chair

Peer Reviewer

Other Scientific Activities