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Postdoctoral Position

Title: Glottal source inverse filtering for the analysis and classification of pathological speech

Keywords: Pathological speech processing, Glottal source estimation, Inverse filtering, Machine learning, Parkinsonian disorders, Respiratory diseases

Contact and Supervisor: Khalid Daoudi (khalid.daoudi@inria.fr)

INRIA team: GEOSTAT (geostat.bordeaux.inria.fr)

Location: Bordeaux, France

Duration: 13 months (could be extended)

IEEE SPS SAM TC Webinar: 24 February 2022, by Dr. Sundeep Prabhakar Chepuri

Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems have become very popular for sensing and wireless communications beyond 5G. While the abundant spectrum available at the mmWave frequency bands enables higher cellular data rates and precise positioning, links at mmWave frequencies are very sensitive to blockages and have significantly higher path loss.

IEEE SPS-DSI Webinar: 17 February 2022, by Dr. Alexander Jung

Many important application domains generate distributed collections of heterogeneous local datasets. These local datasets are related via an intrinsic network structure that arises from domain-specific notions of similarity between local datasets. Networked federated learning aims at learning a tailored local model for each local dataset. 

Seeing beyond the visible: Estimating soil parameters from hyperspectral images (ICIP 2022)

Associated SPS Event: IEEE ICIP 2022 Grand Challenge

KP Labs, together with ESA (European Space Agency) and partner QZ Solutions, has created an extraordinary challenge, as they will revolutionize the future of farming with the help of in-orbit processing. Maintaining farm sustainability through improving the agricultural management practices by the usage of recent advances in Earth observation and artificial intelligence has become an important issue nowadays. It can not only help farmers face the challenge of producing food at an affordable price, but can also be crucial step toward the planet-friendly agriculture.

Video Distortion Detection and Classification in the Context of Video Surveillance (ICIP 2022)

Associated SPS Event: IEEE ICIP 2022 Grand Challenge

The perceptual quality of images/videos in the context of video surveillance has a very significant impact on high-level tasks such as object detection, identification of abnormal events, visual tracking, to name a few. Despite the development of advanced video sensors with higher resolution, the quality of the acquired video is often affected by some distortions due to the environment, encoding and storage technologies, which can only be avoided by employing of intelligent post-processing solutions.

Parasitic Egg Detection and Classification in Microscopic Images (ICIP 2022)

Associated SPS Event: IEEE ICIP 2022 Grand Challenge

Intestinal parasitic infections remain among the leading causes of morbidity worldwide, especially in tropical and sub-tropical areas with more temperate climates. According to WHO, approximately 1.5 billion people, or 24% of the world’s population, are infected with soil-transmitted helminth infections (STH), and 836 million children worldwide required preventive chemotherapy for STH in 2020.