Research

This page organises my research into a set of themes and links to representative publications on each topic.
For a complete list, please visit my Google Scholar page.

Selected Publications

• M. Rowshan, S. H. Dau, and E. Viterbo, “On the Formation of Min-weight Codewords of Polar/PAC Codes and Its Applications,” IEEE Trans. Inf. Theory, vol. 69, no. 12, pp. 7627–7649, Dec. 2023, doi: 10.1109/TIT.2023.3319015.
• M. Rowshan, A. Burg, and E. Viterbo, “Polarization-adjusted (PAC) Codes: Sequential Decoding vs List Decoding,” IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1434–1447, 2021, doi: 10.1109/TVT.2021.3052550.
• M. Rowshan, M. Qiu, Y. Xie, X. Gu, and J. Yuan, “Channel Coding Towards 6G: Technical Overview and Outlook,” IEEE Open J. Commun. Soc., vol. 5, pp. 2585–2685, 2024, doi: 10.1109/OJCOMS.2024.3390000.
• M. Rowshan, V. F. Dragoi, and J. Yuan, “Weight Structure of Low/High-Rate Polar Codes and Weight Contribution-based Partial Order,” IEEE Trans. Inf. Theory, vol. 71, no. 12, pp. 9340–9358, Dec. 2025, doi: 10.1109/TIT.2025.3616283.
• M. Rowshan and J. Yuan, “Segmented GRAND: Complexity Reduction through Sub-pattern Combination,” IEEE Trans. Commun., vol. 73, no. 8, pp. 5607–5620, Aug. 2025, doi: 10.1109/TCOMM.2025.3541094.
• X. Gu, M. Rowshan, and J. Yuan, “PAC Codes Meet CRC-Polar Codes,” in Proc. IEEE Inf. Theory Workshop (ITW), Sydney, NSW, Australia, 2025, pp. 1–6, doi: 10.1109/ITW62417.2025.11240368.

1. Quantum Error Correction (QEC) and Fault Tolerant Quantum Computing (FTQC)

Focus and contributions

• Structure-driven design of quantum LDPC, stabilizer, and bosonic lattice codes from classical algebraic, lattice, and coding-theoretic constructions.
• Efficient, noise- and structure-aware decoding algorithms for quantum codes including bias-aware, degeneracy-exploiting, single-/few-shot, and approximate lattice decoders.
• Noise- and hardware-tailored quantum error-correcting architectures for biased-noise, bosonic, and Floquet codes, integrating code design with realistic device and noise models.
• Code-structure–enabled fault-tolerant quantum computation leveraging code strucutre to realize native logical gates and scalable magic-state factories (e.g., CCZ “fountains”).

Representative work

• M. Rowshan, “Structural Analysis of Directional qLDPC Codes,” submitted to Physical Review A, Feb, 2026.
• M. Rowshan, “Structural conditions for native CCZ magic-state fountains in qLDPC codes,” submitted to Physical Review A, Jan, 2026.
• M. Rowshan, “Single-Shot and Few-Shot Decoding via Stabilizer Redundancy in Bivariate Bicycle Codes,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.
• M. Rowshan, “Strip-Symmetric Quantum Codes for Biased Noise: Z-Decoupling in Stabilizer and Floquet Codes,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.
• M. Rowshan, “Bias-Aware BP Decoding of Quantum Codes via Directional Degeneracy,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.

2. Channel Coding - Polar and PAC Codes: Structure, Algebra, and Weight Distribution

Focus and contributions

• Algebraic and combinatorial structure of polar and PAC codes (monomial / group-action viewpoint).
• Exact and partial weight enumerators, with emphasis on minimum- and low-weight codewords.
• Weight-based partial orders and their use in code design and performance prediction.

Representative publications

• M. Rowshan and V. F. Dragoi, “Generalized Weight Structure of Polar Codes: Selected Template Polynomials,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.
• V. F. Dragoi and M. Rowshan, “Algebraic Properties of PAC Codes,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.
• M. Rowshan, V. F. Dragoi, and J. Yuan, “Weight Structure of Low/High-Rate Polar Codes and Weight Contribution-based Partial Order,” IEEE Trans. Inf. Theory, vol. 71, no. 12, pp. 9340–9358, Dec. 2025, doi: 10.1109/TIT.2025.3616283.
• V. F. Dragoi, M. Rowshan, and J. Yuan, “On the Closed-form Enumeration of Polar Codes: 1.5d-Weight Codewords,” IEEE Trans. Commun., vol. 72, no. 10, pp. 5972–5987, Oct. 2024, doi: 10.1109/TCOMM.2024.3394749.
• M. Rowshan, S. H. Dau, and E. Viterbo, “On the Formation of Min-weight Codewords of Polar/PAC Codes and Its Applications,” IEEE Trans. Inf. Theory, vol. 69, no. 12, pp. 7627–7649, Dec. 2023, doi: 10.1109/TIT.2023.3319015.
• [J10] M. Rowshan and J. Yuan, “On the Minimum Weight Codewords of PAC Codes: The Impact of Pre-Transformation,” IEEE J. Sel. Areas Inf. Theory, vol. 4, pp. 487–498, 2023, doi: 10.1109/JSAIT.2023.3312678.
• M. Rowshan and J. H. Yuan, “Fast Enumeration of Minimum Weight Codewords for PAC Codes,” 2022 IEEE Information Theory Workshop (ITW), Mumbai, India, 2022, pp. 255–260, doi: 10.1109/ITW54588.2022.9965901.
• M. Rowshan, V. F. Dragoi, and J. Yuan, “Weight Structure of Low/High-Rate Polar Codes and Weight Contribution-based Partial Order,” IEEE Trans. Inf. Theory, vol. 71, no. 12, pp. 9340–9358, Dec. 2025, doi: 10.1109/TIT.2025.3616283.
• M. Rowshan, V. F. Dragoi, and J. Yuan, “Weight Structure of Low/High-Rate Polar Codes and Its Applications,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Athens, Greece, 2024, pp. 2945–2950, doi: 10.1109/ISIT57864.2024.10619618.
• V. F. Dragoi and M. Rowshan, “On Polar Codes Weight Distribution,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Ann Arbor, MI, USA, 2025, pp. 1–6, doi: 10.1109/ISIT63088.2025.11195548.

3. Channel Coding - Construction of (Pretransformed) Polar Codes

Focus and contributions

• Design of polar codes that explicitly incorporate weight distribution into the construction.
• Hybrid reliability–weight constructions (e.g., “retransform” polar codes) that go beyond standard Bhattacharyya-parameter–based designs.
• Bridging algebraic weight results with practical finite-length code design.

Representative publications

• M. Rowshan and V. F. Dragoi, “A Hybrid Reliability–Weight Framework for Construction of Polar Codes,” submitted to 2026 IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China.
• M. Rowshan and V. F. Dragoi, “Towards Weight Distribution-Aware Polar Codes,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Ann Arbor, MI, USA, 2025, pp. 1–6, doi: 10.1109/ISIT63088.2025.11195275.
• X. Gu, M. Rowshan, and J. Yuan, “PAC Codes Meet CRC-Polar Codes,” in Proc. IEEE Inf. Theory Workshop (ITW), Sydney, NSW, Australia, 2025, pp. 1–6, doi: 10.1109/ITW62417.2025.11240368.
• X. Gu, M. Rowshan, and J. Yuan, “Reverse Convolutional Precoding of Polar Codes: Design, Analysis, and Decoding Algorithms,” IEEE Open J. Commun. Soc., vol. 6, pp. 7184–7199, 2025, doi: 10.1109/OJCOMS.2025.3644338.
• M. Rowshan and E. Viterbo, “How to Modify Polar Codes for List Decoding,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Paris, France, 2019, pp. 1772–1776, doi: 10.1109/ISIT.2019.8849539.
• X. Gu, M. Rowshan, and J. Yuan, “Improved Convolutional Precoder for PAC Codes,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Kuala Lumpur, Malaysia, 2023, pp. 1836–1841, doi: 10.1109/GLOBECOM54140.2023.10437715.
• X. Gu, M. Rowshan, and J. Yuan, “Rate-Compatible Shortened PAC Codes,” in Proc. IEEE/CIC Int. Conf. Commun. China (ICCC) Workshops, Dalian, China, 2023, pp. 1–6, doi: 10.1109/ICCCWorkshops57813.2023.10233795.

4. Channel Coding - Advanced Decoding Algorithms for Polar, PAC, and Related Codes

Focus and contributions

• Low-complexity decoding of polar and PAC codes beyond standard SC and SCL schemes.
• GRAND-based decoders with segmentation, constrained error pattern generation, and improved complexity–performance trade-offs.
• Sequential, list, and Fano-type decoders, including partial rewind and shifted-pruning strategies.
• Connections between code structure (e.g., weight distribution) and decoder behaviour.

Representative publications

• M. Rowshan, A. Burg, and E. Viterbo, “Polarization-adjusted (PAC) Codes: Sequential Decoding vs List Decoding,” IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1434–1447, 2021, doi: 10.1109/TVT.2021.3052550.
• M. Rowshan and E. Viterbo, “List Viterbi Decoding of PAC Codes,” IEEE Trans. Veh. Technol., vol. 70, no. 3, pp. 2428–2435, Mar. 2021, doi: 10.1109/TVT.2021.3059370.
• M. Rowshan and E. Viterbo, “[On Convolutional Precoding in PAC Codes(),” 2021 IEEE Globecom Workshops (GC Wkshps), 2021, pp. 1–6, doi: 10.1109/GCWkshps52748.2021.9681987.
• M. Rowshan, A. Burg, and E. Viterbo, “Complexity-efficient Fano Decoding of Polarization-adjusted Convolutional (PAC) Codes,” in Proc. Int. Symp. Inf. Theory Appl. (ISITA), Virtual/Kapolei, HI, USA, 2020, pp. 200–204, doi: 10.34385/proc.65.B03-2.
• M. Rowshan and J. Yuan, “Segmented GRAND: Complexity Reduction through Sub-pattern Combination,” IEEE Trans. Commun., vol. 73, no. 8, pp. 5607–5620, Aug. 2025, doi: 10.1109/TCOMM.2025.3541094.
• M. Rowshan and J. Yuan, “Low-Complexity GRAND by Segmentation,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Kuala Lumpur, Malaysia, 2023, pp. 6145–6151, doi: 10.1109/GLOBECOM54140.2023.10436895.
• M. Rowshan and J. H. Yuan, “Constrained Error Pattern Generation for GRAND,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Helsinki, Finland, 2022, pp. 1767–1772, doi: 10.1109/ISIT50566.2022.9834343.
• M. Rowshan and E. Viterbo, “Efficient Partial Rewind of Successive Cancellation-based Decoders for Polar Codes,” IEEE Trans. Commun., vol. 70, no. 11, pp. 7160–7168, Nov. 2022, doi: 10.1109/TCOMM.2022.3207842.
• M. Rowshan and E. Viterbo, “Improved List Decoding of Polar Codes by Shifted-pruning,” 2019 IEEE Information Theory Workshop (ITW), Visby, Sweden, 2019, pp. 1–5, doi: 10.1109/ITW44776.2019.8989330.
• M. Rowshan and E. Viterbo, “Shifted-pruning for Path Recovery in List Decoding of Polar Codes,” 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), NV, USA, 2021, pp. 1179–1184, doi: 10.1109/CCWC51732.2021.9375833.
• M. Rowshan and E. Viterbo, “SC List-Flip Decoding of Polar Codes by Shifted Pruning: A General Approach,” Entropy, vol. 24, no. 9, p. 1210, 2022, doi: 10.3390/e24091210.
• M. Rowshan, E. Viterbo, R. Micheloni, and A. Marelli, “Repetition-assisted Decoding of Polar Codes,” Electron. Lett., vol. 55, no. 5, pp. 270–272, 2019, doi: 10.1049/el.2018.6940.
• M. Rowshan and E. Viterbo, “Stepped List Decoding for Polar Codes,” IEEE International Symposium on Turbo Codes & Iterative Signal Processing (ISTC), Hong Kong, Dec. 2018, pp. 1–5, doi: 10.1109/ISTC.2018.8625267.

5. Channel Coding for 5G, 6G, and Beyond

Focus and contributions

• System-level viewpoint on channel coding for 5G/6G: requirements, performance targets, and implementation constraints.
• Comparative assessment and evolution of LDPC, turbo/convolutional, polar/PAC, and related codes in standards.

Representative publications

• M. Rowshan, M. Qiu, Y. Xie, X. Gu, and J. Yuan, “Channel Coding Towards 6G: Technical Overview and Outlook,” IEEE Open J. Commun. Soc., vol. 5, pp. 2585–2685, 2024, doi: 10.1109/OJCOMS.2024.3390000.

6. Signal Processing for Wireless Communications

Focus and contributions

• Delay–Doppler channel estimation tailored to modern OFDM and multicarrier systems.
• Use of ambiguity functions and structured delay–Doppler representations to improve estimation accuracy and robustness.
• Impact of channel estimation on end-to-end coded performance.

Representative publications

• H. P. H. Shaw, M. Rowshan, and J. Yuan, “Improving OFDM Using Delay-Doppler Channel Estimation,” IEEE Open J. Commun. Soc., vol. 6, pp. 7184–7199, 2025, doi: 10.1109/OJCOMS.2025.3603197.
• H. P. H. Shaw, J. Yuan, and M. Rowshan, “Delay-Doppler Channel Estimation by Leveraging the Ambiguity Function in OFDM Systems,” in Proc. IEEE Int. Conf. Commun. (ICC) Workshops, Rome, Italy, 2023, pp. 307–313, doi: 10.1109/ICCWorkshops57953.2023.10283594.

7. VLSI and Hardware–Software Co-Design for Communication Systems

Focus and contributions

• Quantisation strategies for belief-propagation and list decoders, targeting hardware efficiency.
• Architectural design for BP decoding of polar codes with non-uniform quantisation.
• Low-complexity detection algorithms for OTFS modulation

Representative publications

• X. Gu, M. Rowshan, and J. Yuan, “A Non-Uniform Quantization-Based Hardware Architecture for BP Decoding of Polar Codes,” in Proc. Int. Symp. Commun. Inf. Technol. (ISCIT), Sydney, NSW, Australia, 2023, pp. 363–368, doi: 10.1109/ISCIT57293.2023.10376101.
• M. Rowshan, E. Viterbo, R. Micheloni, and A. Marelli, “Logarithmic Non-uniform Quantization for List Decoding of Polar Codes,” in Proc. IEEE Annu. Comput. Commun. Workshop Conf. (CCWC), Las Vegas, NV, USA, 2021, pp. 1161–1166, doi: 10.1109/CCWC51732.2021.9375932.

8. Machine Learning in Channel Coding and Communication Systems

Focus and contributions

• Ongoing research on machine-learning–assisted decoding (e.g., learned heuristics for GRAND or SCL variants).
• Data-driven design of channel estimation and detection algorithms.

Books

• M. Rowshan and E. Viterbo, Polar Codes: From Theory to Practice, Hoboken, NJ, USA: Wiley–IEEE Press, 2025, ISBN 978-1-119-91173-9.
• M. Rowshan and V.-F. Dragoi, The Algebra of Polar Codes: Partial Orders, Automorphisms, Weight Structures, and Applications, Hoboken, NJ, USA: Wiley–IEEE Press, 2027.

Patents

• H. P. H. Shaw, J. Yuan and M. Rowshan, “Delay-Doppler based channel estimation method and apparatus,” Australian Patent 2024900503, Feb. 28, 2024.