Selected work

Representative Papers

Increasing competitiveness by imbalanced groups: The example of the 48-team FIFA World Cup

Feb 12, 2025

To address the fairness and spectacle degradation caused by “meaningless matches”—games where teams have already qualified or been eliminated—in large-scale sporting tournaments, this paper proposes an asymmetric group-stage format based on team strength stratification, using the 48-team 2026 FIFA World Cup as a case study. The design strategically concentrates stronger teams into high-competition-intensity groups and weaker teams into lower-pressure groups. Through formal rule modeling and Monte Carlo simulation, we rigorously evaluate its efficacy. Compared to conventional 32-team formats or balanced 48-team designs, our approach reduces the probability of meaningless matches involving top-tier teams by over 60%. It also decreases total match count while significantly increasing the density of high-stakes matchups and outcome uncertainty. This work provides a scalable theoretical framework and empirical validation for optimizing tournament structures in major international championships.

1 citationsRead paper

Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cells

Aug 10, 2026

This work addresses the limitations of conventional human-robot collaboration systems, which are constrained by tethered connections, lack modularity and rapid reconfigurability, and fail to meet real-time perception and safety requirements with existing commercial wireless solutions. The authors propose an infrastructure-free, 5G-enabled wireless reconfigurable collaborative unit architecture integrating a battery-powered multi-sensor platform and an edge vision module, enabling cross-scenario deployment. By training a highly robust hand and grasp pose estimation model using a fusion of synthetic and real-world data, and leveraging 5G edge computing to optimize the bandwidth–latency trade-off, the system achieves a round-trip latency of 12 ms across multiple international 5G networks, a mean average precision (mAP@50–95) of 97.74% ± 0.10% for pose detection, and an average inference time of 12.5 ms, thereby demonstrating the feasibility of safe and adaptive human-robot collaboration.

0 citationsRead paper

Ranking-based competitive balance measures in Formula One

Jul 25, 2026

This study addresses the challenge of effectively measuring competitive balance in Formula 1 racing, with particular attention to the differential importance of rank changes at various positions in the standings. To this end, the authors propose two weighted Kemeny distance metrics that assign greater sensitivity to movements near the top of the ranking. Integrating structural break detection with statistical significance testing, they analyze the evolution of competitive dynamics in Formula 1 from 1950 to 2024 at both race and season levels. The findings reveal a significant deterioration in competitive balance over the past two decades, identify three structural breaks closely aligned with major regulatory changes—highlighting the pivotal role of governance—and demonstrate robustness across alternative weighting schemes, thereby validating the methodological innovation and effectiveness of the proposed approach.

0 citationsRead paper

An Iterative Geometric Approach to Optimizing Separating Hyperplanes

Jul 19, 2026

This work addresses the hard-margin support vector machine (SVM) problem on linearly separable datasets by proposing a geometrically motivated iterative optimization method. Starting from an arbitrary initial separating hyperplane, the algorithm employs an active-set strategy that leverages only local sample information at each iteration to progressively reorient the hyperplane. This process monotonically increases the margin while preserving correct classification, ultimately converging to the global optimum. The key innovation lies in decomposing the original convex quadratic program into a sequence of small-scale subproblems, thereby circumventing the need to solve a large-scale optimization problem directly. Experimental results demonstrate that, given a feasible initial solution, the proposed method is competitive on large-scale datasets and outperforms mainstream solvers in certain scenarios.

0 citationsRead paper

Beyond Journals: Rethinking Research Evaluation in Hungarian Computer Science

Jun 09, 2026

This study addresses the misalignment between Hungary’s research evaluation system and global norms in computer science, where excessive reliance on journal publications and neglect of top-tier international conferences distort scholarly incentives. For the first time, it systematically integrates multiple data sources—including iCore, DBLP, MTMT, and MTA-ATT—to quantitatively assess Hungarian researchers’ output, disciplinary distribution, and career trajectories in CORE A* and A conferences through bibliometric analysis, author disambiguation, and temporal topic modeling. Findings reveal that theoretical subfields adopted conference publishing earlier, while many high-performing researchers have emigrated. The study recommends aligning national evaluation criteria with international standards by equating CORE A* conferences with D1 journals and CORE A conferences with Q1 journals, thereby fostering a more globally integrated and incentive-compatible research assessment framework.

0 citationsRead paper

Recent publications

Latest Papers

Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cells

Aug 10, 2026

This work addresses the limitations of conventional human-robot collaboration systems, which are constrained by tethered connections, lack modularity and rapid reconfigurability, and fail to meet real-time perception and safety requirements with existing commercial wireless solutions. The authors propose an infrastructure-free, 5G-enabled wireless reconfigurable collaborative unit architecture integrating a battery-powered multi-sensor platform and an edge vision module, enabling cross-scenario deployment. By training a highly robust hand and grasp pose estimation model using a fusion of synthetic and real-world data, and leveraging 5G edge computing to optimize the bandwidth–latency trade-off, the system achieves a round-trip latency of 12 ms across multiple international 5G networks, a mean average precision (mAP@50–95) of 97.74% ± 0.10% for pose detection, and an average inference time of 12.5 ms, thereby demonstrating the feasibility of safe and adaptive human-robot collaboration.

0 citationsRead paper

Ranking-based competitive balance measures in Formula One

Jul 25, 2026

This study addresses the challenge of effectively measuring competitive balance in Formula 1 racing, with particular attention to the differential importance of rank changes at various positions in the standings. To this end, the authors propose two weighted Kemeny distance metrics that assign greater sensitivity to movements near the top of the ranking. Integrating structural break detection with statistical significance testing, they analyze the evolution of competitive dynamics in Formula 1 from 1950 to 2024 at both race and season levels. The findings reveal a significant deterioration in competitive balance over the past two decades, identify three structural breaks closely aligned with major regulatory changes—highlighting the pivotal role of governance—and demonstrate robustness across alternative weighting schemes, thereby validating the methodological innovation and effectiveness of the proposed approach.

0 citationsRead paper

An Iterative Geometric Approach to Optimizing Separating Hyperplanes

Jul 19, 2026

This work addresses the hard-margin support vector machine (SVM) problem on linearly separable datasets by proposing a geometrically motivated iterative optimization method. Starting from an arbitrary initial separating hyperplane, the algorithm employs an active-set strategy that leverages only local sample information at each iteration to progressively reorient the hyperplane. This process monotonically increases the margin while preserving correct classification, ultimately converging to the global optimum. The key innovation lies in decomposing the original convex quadratic program into a sequence of small-scale subproblems, thereby circumventing the need to solve a large-scale optimization problem directly. Experimental results demonstrate that, given a feasible initial solution, the proposed method is competitive on large-scale datasets and outperforms mainstream solvers in certain scenarios.

0 citationsRead paper

Beyond Journals: Rethinking Research Evaluation in Hungarian Computer Science

Jun 09, 2026

This study addresses the misalignment between Hungary’s research evaluation system and global norms in computer science, where excessive reliance on journal publications and neglect of top-tier international conferences distort scholarly incentives. For the first time, it systematically integrates multiple data sources—including iCore, DBLP, MTMT, and MTA-ATT—to quantitatively assess Hungarian researchers’ output, disciplinary distribution, and career trajectories in CORE A* and A conferences through bibliometric analysis, author disambiguation, and temporal topic modeling. Findings reveal that theoretical subfields adopted conference publishing earlier, while many high-performing researchers have emigrated. The study recommends aligning national evaluation criteria with international standards by equating CORE A* conferences with D1 journals and CORE A conferences with Q1 journals, thereby fostering a more globally integrated and incentive-compatible research assessment framework.

0 citationsRead paper

Match classification in the last round of four-team round-robin tournaments

May 25, 2026

This study addresses the evaluation of competitiveness and fairness in the final round of a four-team round-robin tournament format by proposing and systematically comparing a deterministic classification framework with a probabilistic model based on offensive–defensive payoff trade-offs. Leveraging empirical data from the 2014 and 2018 FIFA World Cup group stages, the research validates the practical efficacy and complementarity of both approaches. Furthermore, it quantifies the impact of the expanded 48-team format and revised scheduling rules slated for the 2026 FIFA World Cup on match competitiveness. The analysis reveals, for the first time, the dynamic effects of tournament design in real-world settings, thereby offering both theoretical grounding and empirical support for optimizing competition formats in major sporting events.

0 citationsRead paper