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Tayyibah Khanam

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Tayyibah Khanam is an Electrical Engineering student at Aligarh Muslim University with research interests in Machine Learning, specifically Computer Vision. Being an advocate for global sustainability, she aims to leverage sustainable computer vision models in the long run, addressing environmental as well as socio-economic concerns for smart, sustainable ecosystems as well as for community growth. Previously, she has worked in the domains of optimizing EV charging, 3D vision, fire mappings, fault analysis, etc., throughout her projects & research internships at CARET, AMU & UCLA. Her go-to work ethics include – constantly pushing her limits, utilizing several domains of expertise & engaging in constructive criticism. Although her research lies in machine intelligence, Tayyibah strongly believes in 'humans-in-the-loop' systems to effectively create real-world ML solutions empowered by human values & assistance. Greatly inspired by values like diversity and inclusion, she attributes these to her upbringing & her hometown Mumbai. Likewise, when not in front of the computer screen, she likes to read about issues pertaining to women empowerment, human rights, politics, etc., and hopes to build a society whose strengths lie in its diversity and inclusion.

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