PhD in Applied Mathematics [Fact Sheet]

• Institute: Obuda University, Budapest, Hungary
• Department: Doctoral School of Applied Informatics and Applied Mathematics (AIAMDI)
• Topic: Team Formation in Performance Sports
• PhD start date: 2025.09 (On-Going)
• Location: Budapest, Hungary
• Tutors: Prof. Dr. Levente Kovács, Prof. Dr. László Szilágyi
• Research groups: AIAMDI, ODNEAI, EKIK, PHYSCON
• Research activities, Awards and Certificates
• Last update: 2026.04.04

Own Publications Pertaining to Theses

1. 2026.04.21 [C][Accepted] - A. Biró, L. Kovács, and L. Szilágyi, “Risk-Aware Genetic Algorithms for Reliable Triathlon Relays: A Cantelli-Regularized Applied Mathematics Pipeline”, in IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC 2026), Satellite workshop nearby Uluru, Australia, 2026, Xplore IEEE.
2. 2026.04.16 [C][Accepted] - A. Biró, L. Kovács, and L. Szilágyi, “Bioinformatics-Guided NSGA-II Pathway-Sparse Optimization for Interpretable Neurodegenerative Risk Detection”, in IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC 2026), Section: “Biological (living) systems”, Bisbane, Australia, 2026, Xplore IEEE.
3. 2026.04.16 [C][Accepted] - 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 IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC 2026), Section: “Computational intelligence-based results of signal processing”, Bisbane, Australia, 2026, Xplore IEEE.
4. 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
5. 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
6. 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
7. 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].
8. 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.
9. 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.
10. 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. 2025.11.06 [A][Q1] - 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 Rewiew]

Pertaining to Theses

1. 2026.08.23-28 [C][Under Review] - 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”, in 23rd IFAC World Congress, Busan, Republic of Korea.

Not Pertaining to Theses

1. 2026.08.23-28 [C][Under Review] - J. Palatka, L. Dénes-Fazakas, A. Biró, L. Kovács and L. Szilágyi, “Hybrid CNN+ViT Architecture for Accurate Interstitial Lung Disease Classification”, in 23rd IFAC World Congress, Busan, Republic of Korea.
2. 2026.07.02-04 [C][Under Review] - A. Biró, A.A. Mir, and 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), Budapest, Hungary, 2026, Xplore IEEE.
3. 2026.07.02-04 [C][Under Review] - A. Biró, Gy. Kolumbán, and 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), Budapest, Hungary, 2026, Xplore IEEE.

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

• 2026.04.03 - “AI Literacy for All”, by The Digital Education Council (DEC) x Obuda University. [Online].
• 2025.11.17 - Bevezetés a Mesterséges Intelligenciába (Introduction to Artificial Intelligence) Certificate by AI Campus Obuda University. [Online].
• 2025.10.11 - “Advanced Statistics for Data Science Specialization”, by Johns Hopkins University, Coursera. [Online].

Awards

• 2025.12.29 - “Best Student Paper Award”, IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Paper: “Tactical Lineup Changes Simulation in Competitive High-Speed Team Sports via Hoeffding’s Inequality and Concentration Bounds”.

Teaching Activities

• 2025-2026 Semester I: Sapientia EMTE Faculty of Târgu Mureș (Romania), Department of Mathematics and Computer Science (MIT), Course: “Bioinformatics Algorithms”, Language of instruction: Hungarian, Teaching role: Lab, Number of hours taught: 3 lab sessions per week for 14 weeks (42 hours total).
• 2025-2026 Semester I: UMFST GE Palade Târgu Mureș (Romania), Department of Electrical Engineering and Computer Science (DIETI), Course: “Web Application Development”, Language of instruction: Hungarian, Teaching role: Course, Number of hours taught: 4 sessions per week for 9 weeks (36 hours total).

Other Activities

• 2026.04.16 - Session Chair, IEEE 13th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems (ICCC 2026), Section: “Biological (living) systems”, Bisbane, Australia [Program].
• 2026.04.23 - Peer Reviewer, IEEE 30th Jubilee International Conference on Intelligent Engineering Systems 2026 (INES 2026), Budapest, Hungary.
• 2026.01.26 - Peer Reviewer, IEEE Hungary Section, IEEE Student Paper Contest 2025/26.
• 2025.12.29 - Session Chair, IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Section: “[W1d] Session on Applications IV”, Budapest, Hungary [Program].