Ayesha Syeda
ayesha dot syeda at queensu.ca
Queen's University, Kingston, Canada
Education
Queen's University
, MSc Computer Science
University of Toronto
, BSc Computer Science & Economics
Experience
Machine Learning Researcher
Med-i Lab (Queen's)
Sep 2021 - Present
Software Engineer
Wealthsimple
Summer 2021
Clinical Research Assistant
THETA Collaborative, UHN
Sep 2019 - May 2020
Research Assistant
UofT CSEducation Research Group
Summer 2019
Data Analyst
Kidney Health Research Group, UHN
Summer 2019
Publications
Self-supervised learning and uncertainty estimation for surgical margin detection
Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Dilakshan Srikanthan, Martin Kaufmann, Kevin Ren, Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John Rudan, Parvin Mousavi
SPIE Medical Imaging 2023 (to appear)
Attention based multi-instance learning for improved glioblastoma detection using mass spectrometry
Dilakshan Srikanthan, Martin Kaufmann, Amoon Jamzad, Ayesha Syeda, Alice Santilli, Alireza Sedghi, Gabor Fichtinger, Jamie Purzner, John Rudan, Teresa Purzner, Parvin Mousavi SPIE Medical Imaging 2023 (to appear)
REIMSViSSion: Improving surgical margins via 2D representation and self-supervision of mass spectrometry data
Laura Connolly, Amoon Jamzad, Fahimeh Fooladgar, Ayesha Syeda, Martin Kaufmann, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger and Parvin Mousavi
The 14th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) 2023 (to appear)
Margin detection in skin cancer surgery via 2D representation of mass spectrometry data
Laura Connolly, Fahimeh Fooladgar, Amoon Jamzad, Ayesha Syeda, Martin Kaufmann, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger and Parvin Mousavi
The 21st Annual Imaging Network Ontario Symposium (ImNO) 2023 (to appear)
Improved surgical margin detection in mass spectrometry data using uncertainty estimation
Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Martin Kauffman, Kevin Ren, Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John Rudan, Parvin Mousavi
The 21st Annual Imaging Network Ontario Symposium (ImNO) 2023 (to appear)
A Qualitative Study of Group Work and Participation Dynamics in a CS2 Active Learning Environment
Rutwa Engineer, Ayesha Naeem Syeda, and Bogdan Simion
The 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) 2021
Analyzing the Effects of Active Learning Classrooms in CS2
Ayesha Naeem Syeda, Rutwa Engineer, and Bogdan Simion
The 51st ACM Technical Symposium on Computer Science Education (SIGCSE) 2020
Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Dilakshan Srikanthan, Martin Kaufmann, Kevin Ren, Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John Rudan, Parvin Mousavi
SPIE Medical Imaging 2023 (to appear)
Attention based multi-instance learning for improved glioblastoma detection using mass spectrometry
Dilakshan Srikanthan, Martin Kaufmann, Amoon Jamzad, Ayesha Syeda, Alice Santilli, Alireza Sedghi, Gabor Fichtinger, Jamie Purzner, John Rudan, Teresa Purzner, Parvin Mousavi SPIE Medical Imaging 2023 (to appear)
REIMSViSSion: Improving surgical margins via 2D representation and self-supervision of mass spectrometry data
Laura Connolly, Amoon Jamzad, Fahimeh Fooladgar, Ayesha Syeda, Martin Kaufmann, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger and Parvin Mousavi
The 14th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) 2023 (to appear)
Margin detection in skin cancer surgery via 2D representation of mass spectrometry data
Laura Connolly, Fahimeh Fooladgar, Amoon Jamzad, Ayesha Syeda, Martin Kaufmann, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger and Parvin Mousavi
The 21st Annual Imaging Network Ontario Symposium (ImNO) 2023 (to appear)
Improved surgical margin detection in mass spectrometry data using uncertainty estimation
Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Martin Kauffman, Kevin Ren, Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John Rudan, Parvin Mousavi
The 21st Annual Imaging Network Ontario Symposium (ImNO) 2023 (to appear)
A Qualitative Study of Group Work and Participation Dynamics in a CS2 Active Learning Environment
Rutwa Engineer, Ayesha Naeem Syeda, and Bogdan Simion
The 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) 2021
Analyzing the Effects of Active Learning Classrooms in CS2
Ayesha Naeem Syeda, Rutwa Engineer, and Bogdan Simion
The 51st ACM Technical Symposium on Computer Science Education (SIGCSE) 2020