Digital Signal Processing

Digital Signal Processing: Prof. Martin Haardt elected board member of the IEEE Signal Processing Society

Professor Martin Haardt, Head of the Communications Engineering Group at TU Ilmenau, IEEE Fellow, and EURASIP Fellow, has been elected by the members of the IEEE Signal Processing Society (SPS) as a Member-at-Large to serve on the Board of Governors (BoG), the Society’s central governing body. He will serve a three-year term from January 2026 until December 2028.

The IEEE Signal Processing Society brings together signal processing engineers, industry professionals, academics, and students from around 120 countries and numerous disciplines worldwide. Together, the approximately 25,000 members work to advance the field of signal processing. Founded in 1948, the Society is today the fourth largest of IEEE’s 39 technical societies.

The Board of Governors oversees the activities of the IEEE Signal Processing Society, establishes and implements strategic policies, and receives reports from its standing boards and committees. Members-at-Large represent the members’ viewpoints in the Board’s decision-making process. They review, discuss, and act upon a wide range of items affecting the direction, activities, and overall health of the Society.

Martin Haardt is an internationally well-recognized expert in wireless communications, array signal processing, high-resolution parameter estimation, and tensor-based signal processing. He has been actively involved in key roles within the IEEE Signal Processing Society for many years, including serving as associate editor and senior editor of leading SPS journals, as a member of various Technical Committees (SAM TC: 2011-2019 and since 2026; SPTM TC: 2020-2025), as Chair of the SAM Technical Committee, and as a member of the Technical Directions Board, the Awards Board, the Data Science Initiative, and the Fellow Evaluation Committee.

In addition, Prof. Haardt has repeatedly initiated and organized leading international signal processing conferences, for example as General Chair of CAMSAP 2013, SAM 2016, CAMSAP 2017, SAM 2020, the Asilomar Conference on Signals, Systems, and Computers 2021, CAMSAP 2023, and SAM 2026.

After completing his doctoral studies at TU Munich (TUM), Martin Haardt worked in the wireless industry at Siemens on thirdand fourth-generation wireless systems. In 2001, he joined TU Ilmenau as a full professor. As a result of his strong ties to both academia and industry, his tensor-based algorithms have found broad application in wireless and biomedical signal processing, image processing, and data science.

A particular focus of his work lies in fostering international collaborations. In addition to studying in the United States, he has served as a visiting professor at universities in France and the United Kingdom. Currently, he leads collaborative research projects with universities in Brazil as well as with Tel Aviv University.

At TU Ilmenau, Prof. Haardt has initiated and coordinated an international, English-speaking Master’s program in Communications and Signal Processing since 2009, as well as a joint dual-degree Master’s program with the University of Lorraine in Nancy, France. Moreover, he has supervised approximately 30 doctoral students, several of whom have received major national and international awards for their doctoral research.