Dr. Haider, SMIEEE, CEng, FBCS, has a track record in scientific research and innovation, with expertise in ambient assisted living technologies, digital biomarkers, machine learning, and affective computing. He has extensive experience in managing and leading research projects, overseeing key work packages, and being recognized by TechNation UK as an internationally acknowledged leader in digital technologies.

Dr. Haider has presented his research at leading venues in speech and multimodal information processing, amassing over a thousand citations. His work has received significant support from European Commission funding, where he made substantial contributions to two major EU projects: SAAM and METALOGUE.

He has also collaborated with Huawei on industrial research initiatives centered on video intelligence. As part of an industrial secondment funded by UKRI-BBSRC, Dr. Haider investigated the potential of biological biomarkers for the automated diagnosis and monitoring of dementia progression. Additionally, he contributed to the EAVE II (Early Assessment of Vaccine and Anti-Viral Effectiveness) team, addressing critical issues related to the COVID-19 pandemic, including vaccine safety and efficacy.

As a Postdoctoral Data Analyst at the Usher Institute, University of Edinburgh, Dr. Haider worked on a collaborative project with Sony, employing AI to identify patients’ treatment goals and detect early brain dysfunction in Alzheimer’s disease. He also held a Research Associate position within the IDCOM Institute at the University of Edinburgh, contributing to the EPSRC New Horizons-funded project aimed at learning better representations through rare and unique data.