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Vera Miloslavskaya

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Publication DateTitleAuthor(s)Date Added
1Mar-2024Design of Compactly Specified Polar Codes With Dynamic Frozen Bits Based on Reinforcement LearningMiloslavskaya, Vera ; Li, Yonghui; Vucetic, Branka25-Jan-2025
2Nov-2022Computing the Partial Weight Distribution of Punctured, Shortened, Precoded Polar CodesMiloslavskaya, Vera ; Vucetic, Branka; Li, Yonghui25-Jan-2025
310-Dec-2021Improving Cell-Free Massive MIMO Detection Performance via Expectation PropagationKosasih, Alva; Miloslavskaya, Vera ; Hardjawana, Wibowo; Andrean, Victor; Vucetic, Branka25-Jan-2025
424-Jun-2021A Bayesian Receiver With Improved Complexity-Reliability Trade-Off in Massive MIMO SystemsKosasih, Alva; Miloslavskaya, Vera ; Hardjawana, Wibowo; She, Changyang; Wen, Chao-Kai; Vucetic, Branka25-Jan-2025
57-Jun-2016Fast Encoding of Polar Codes With Reed–Solomon KernelTrifonov, Peter; Miloslavskaya, Vera ; Chen, Chen; Wang, Yuangang25-Jan-2025
69-Jan-2012Hybrid interpolation algorithm for algebraic soft decision decoding of Reed-Solomon codesMiloslavskaya, V ; Trifonov, P25-Jan-2025
7-Frozen Set Design for Precoded Polar CodesMiloslavskaya, Vera ; Li, Yonghui; Vucetic, Branka15-Aug-2024

Profile

Credit Name
Vera Miloslavskaya
Full Name
Miloslavskaya, Vera
UNE Researcher ID
une-id:vmilosla
 
Position Title
Lecturer in Information Technology
 
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Scopus Author ID
Clarivate Researcher ID
 
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).
 
Discipline
Computer Science
 
Faculty
Faculty of Science, Agriculture, Business and Law
Surname
Miloslavskaya
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Given Name
Vera
 
School/Department
School of Science and Technology
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