About Me

I am a PhD candidate in Electrical Engineering, specializing in the application of deep learning techniques to video analysis. My research involves building machine learning pipelines for behavior recognition, with a focus on autism-related behavior detection. I have extensive experience in data preprocessing, feature engineering, and utilizing libraries like OpenCV for video processing and analysis. I am proficient in Python and frameworks such as TensorFlow and PyTorch.

Education

• PhD Electrical Engineering (Expected Aug 2026) University of Kentucky
• MS Electrical Engineering (2011) National University of Sciences and Technology (NUST), Pakistan
• BE Electrical Engineering (2007) National University of Sciences and Technology (NUST), Pakistan

Publications

• Sidrah Liaqat, Chongruo Wu, Prashanth Reddy Duggirala, Sen-ching Samson Cheung, Chen-Nee Chuah, Sally Ozonoff, and Gregory Young. “Predicting ASD diagnosis in children with synthetic and image-based eye gaze data.” Signal Processing: Image Communication, vol. 94, 2021.
• Chongruo Wu, Sidrah Liaqat, Halil Helvaci, Sen-ching Samson Cheung, Chen-Nee Chuah, Sally Ozonoff, Gregory Young. “Machine Learning Based Autism Spectrum Disorder Detection from Videos.” IEEE International Conference on E-health Networking, Application & Services (HEALTH-COM), pp. 1-6, 2020.
• Sidrah Liaqat, Chongruo Wu, Sen-ching Cheung, Chen-Nee Chuah, and Sally Ozonoff. “Predicting Autism Diagnosis using Image with Fixations and Synthetic Saccade Patterns.” In IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 647-650, 2019.
• Sidrah Liaqat, Narjes Bozorg, Neenu Jose, Patrick Conrey, Antony Tamasi, and Michael T. Johnson. “Domain Tuning Methods for Bird Audio Detection.” In Detection and Classification of Acoustic Scenes and Events (DCASE), 2018.
• Sidrah Liaqat, Mojeeb B. Ihsan, S. Zeeshan Asghar, Aqib Ejaz, Aamir Javed. “High resolution 2D time frequency representation of radar micro-Doppler pedestrian signal.” In 10th European Radar Conference (EuRAD), 2013.
• Aamir Javed, Sidrah Liaqat, Mojeeb B. Ihsan. “Support vector machine based micro-Doppler signature classification of ground targets.” In 10th European Radar Conference (EuRAD), 2013.
• Aamir Javed, Aqib Ejaz, Sidrah Liaqat, Adnan Ashraf, Mojeeb B. Ihsan. “Automatic target classifier for a ground surveillance radar using linear discriminant analysis and logistic regression.” In 9th European Radar Conference (EuRAD), pp 302-305, 2012.
• Sidrah Liaqat, Shoab A. Khan, Aamir I. Bhatti, Mojeeb B. Ihsan, S. Zeeshan Asghar, Aqib Ejaz. “Automatic recognition of ground radar targets based on target RCS and short time spectrum variance.” In International Symposium on Innovations in Intelligent Systems and Applications (INISTA), pp 164-167, 2011.

Courses Taught

• University of Kentucky Graduate Teaching Assistant, Jan 2018 - Dec 2019
  • Courses: AC Circuits, Power Electronics, Design of Logic Circuits
• National University of Sciences and Technology (NUST), Islamabad, Pakistan Lecturer, July 2011 - June 2015
  • Courses: Radar Systems, Signals & Systems, Microprocessor & Digital Systems

Service & Mentorship

• Volunteer Classroom Lead, YMCA Project Cornerstone (2025-Present) Delivered structured social-emotional asset-building curricula to local classrooms. Focused on fostering inclusive environments, public speaking, and mentoring youth in conflict resolution and digital citizenship.

• Peer Reviewer for ICIP, TMM, TAFFC, ICASSP, AAAI

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