Hina Tabassum

Prof.

York University
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About

Hina Tabassum is an Assistant Professor at York University in Canada. Her research focuses on optimizing communication networks, with recent articles exploring topics such as resource allocation in cell-free networks, joint optimization of vehicular communication, and deep learning frameworks for wireless networks. Her work also includes contributions to self-supervised learning for Wi-Fi sensing and advancements in 6G wireless communication technologies.

Positions (1)

Publisher
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Hina Tabassum

University Name
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York University

York University’s Lassonde School of Engineering is recruiting a Postdoctoral Fellow / Research Associate for an interdisciplinary project at the intersection of Applied AI , Foundation Engineering , Civil Engineering , Electrical and Computer Engineering , and Geotechnical Engineering . The project is jointly supervised by Prof. Rashid Bashir and Prof. Hina Tabassum and is funded by the Ontario Ministry of Transportation (MTO) and an NSERC Alliance Grant . The research focuses on building an AI-driven pipeline to extract critical geotechnical information from unstructured PDF Foundation Investigation Reports using OCR , NLP , and deep learning . The successful candidate will also develop machine-learning models to predict design parameters such as bearing capacity and settlement behavior . Applicants should hold a Ph.D. in Computer Science , Electrical and Computer Engineering , Civil Engineering (with a strong computational focus), Data Science , or a closely related field. Strong experience in machine learning and/or artificial intelligence is required, along with proficiency in Python , R , MATLAB , or equivalent tools. Familiarity with geotechnical concepts such as soil mechanics and foundation design is expected, and a strong publication record in AI/ML engineering applications is preferred. Experience with NLP and OCR is an asset. The post specifically notes that the candidate should currently be located within Canada . The anticipated start date is August 15, 2026 . To apply, send a CV, cover letter, research statement, and 2–3 academic references to both supervisors by email. This is a strong fit for candidates interested in computer science , civil engineering , geotechnical engineering , AI/ML , and document intelligence for infrastructure applications.

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Collaborators (6)

Jeroen Famaey

Prof. at University of Antwerp

University of Antwerp

BELGIUM
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Rafael Berkvens

Assistant Professor

University of Antwerp

BELGIUM
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Ping Wang

Associate Professor

York University

CANADA
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Navid Hasanzadeh

University of Toronto

CANADA
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OMER WAQAR

Assistant Professor

University of the Fraser Valley

CANADA
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Hong-Chuan Yang

University of Victoria

CANADA
View details
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