Dr Vera Miloslavskaya

Lecturer - Information Technology - School of Science and Technology

Vera Miloslavskaya

Phone: +61 02 6773 4472

Mobile: 04 7865 7268

Email: Vera.Miloslavskaya@une.edu.au

Biography

Dr. Vera Miloslavskaya joined the University of New England as a Lecturer in Information Technology in February 2024. From November 2018 to January 2024, she was working as a Postdoctoral Research Associate in Telecommunications at the University of Sydney.

Dr. Vera Miloslavskaya has substantial experience in Coding Theory and Artificial Intelligence applied to Wireless Communications. Her research focuses on the design and analysis of error-correcting codes that needed to ensure reliable data transmission over noisy communication channels. The proposed solutions rely on linear algebra, probability theory, graphs, optimization theory, information theory and artificial intelligence. Her publications are devoted primarily to polar codes, but she also worked on Reed-Solomon, BCH and generalized concatenated codes. In addition, she has experience with multiple-input multiple-output (MIMO) detection. During the last few years, the effort has been focused on the design of polar codes with high correction capability and acceptable decoding complexity. Dr. Miloslavskaya’s current research project develops machine learning-assisted polar code design to ensure reliable data transmission in the next generation of mobile communications (6G).

Qualifications

BCompSc (Hons), MCompSc (Hons) and PhD degrees from the Peter the Great St. Petersburg Polytechnic University in 2010, 2012 and 2015, respectively

Awards

  • IEEE Transactions on Communications Exemplary Reviewer (2022)
  • Gold medal of the Russian Academy of Science (2012)
  • St. Petersburg State Polytechnic University young scientist research award (2015)
  • St. Petersburg State Polytechnic University PhD student research award (2012)
  • Saint-Petersburg government research award for students (2010, 2011, 2012, 2013)

Teaching Areas

Computer Science and Software Engineering

Primary Research Area/s

Error-Correction Coding; Artificial Intelligence

Research Interests

Error-Correction Coding, Information Theory, Artificial Intelligence, Internet of Things, Telecommunications

Publications

Recent publications (2020-2023) include:

  1. V. Miloslavskaya, Y. Li, and B. Vucetic, “Neural Network Based Adaptive Polar Coding”, in IEEE Transactions on Communications, Early Access, December 2023. https://ieeexplore.ieee.org/document/10354370
  2. V. Miloslavskaya, Y. Li, and B. Vucetic, “Design of Compactly Specified Polar Codes with Dynamic Frozen Bits Based on Reinforcement Learning”, in IEEE Transactions on Communications, Early Access, November 2023. https://ieeexplore.ieee.org/document/10313310
  3. C. Yue, V. Miloslavskaya, M. Shirvanimoghaddam, B. Vucetic, and Y. Li, “Efficient Decoders for Short Block Length Codes in 6G URLLC”, in IEEE Communications Magazine, vol. 61, no. 4, pp. 84-90, April 2023. https://ieeexplore.ieee.org/document/10106132
  4. V. Miloslavskaya, B. Vucetic and Y. Li, "Computing the Partial Weight Distribution of Punctured, Shortened, Precoded Polar Codes," in IEEE Transactions on Communications, vol. 70, no. 11, pp. 7146-7159, Nov. 2022.  https://ieeexplore.ieee.org/document/9887941
  5. A. Kosasih, V. Onasis, V. Miloslavskaya, W. Hardjawana, V. Andrean and B. Vucetic, "Graph Neural Network Aided MU-MIMO Detectors," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 9, pp. 2540-2555, Sept. 2022. https://ieeexplore.ieee.org/document/9832663
  6. A. Kosasih, V. Onasis, W. Hardjawana, V. Miloslavskaya, V. Andrean, J.-S. Leuy, Branka Vucetic “Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems,” IEEE Wireless Communications and Networking Conference (WCNC), April 2022. https://ieeexplore.ieee.org/document/9771869
  7. V. Miloslavskaya, B. Vucetic, Y. Li, G. Park and O.-S. Park, "Recursive Design of Precoded Polar Codes for SCL Decoding," in IEEE Transactions on Communications, vol. 69, no. 12, pp. 7945-7959, Dec. 2021.     https://ieeexplore.ieee.org/document/9535128
  8. A. Kosasih, V. Miloslavskaya, W. Hardjawana, V. Andrean and B. Vucetic, "Improving Cell-Free Massive MIMO Detection Performance via Expectation Propagation," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-5. https://ieeexplore.ieee.org/document/9625516
  9. A. Kosasih, V. Miloslavskaya, W. Hardjawana, C. She, C. -K. Wen and B. Vucetic, "A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems," in IEEE Transactions on Communications, vol. 69, no. 9, pp. 6251-6266, Sept. 2021. https://ieeexplore.ieee.org/document/9464346
  10. V. Miloslavskaya, B. Vucetic “Design of Short Polar Codes for SCL Decoding” // IEEE Transactions on Communications, vol. 68, pp. 6657-6668, 2020.  https://ieeexplore.ieee.org/document/9162075

Memberships

  • Research Affiliate at the University of Sydney
  • Peer-reviewing for IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing

Related Links

Personal website: https://sites.google.com/site/veradmiloslavskaya