Applied Machine Learning Specialist
Current- Built a general framework for multi-modal representation learning for health domain- Improved self-supervised representation learning with diffusion models for up to 10%
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Vahid Reza Khazaie is listed as Applied Machine Learning Specialist @ Vector Institute | Generative AI at Vector Institute, a with 247 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Vahid Reza Khazaie.
Vahid Reza Khazaie previously worked as Applied Machine Learning Specialist at Vector Institute and Associate Applied Machine Learning Specialist at Vector Institute. Vahid Reza Khazaie holds Master Of Science - Ms, Computer Science, Overall Gpa 4.0 Out Of 4.0 from Western University.
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Vahid Reza Khazaie is a Applied Machine Learning Specialist @ Vector Institute | Generative AI at Vector Institute. They is proficient in English. Colleagues describe them as "I worked with Vahid on several projects during my masters. He is a smart hard working individual with lots of innovative ideas. He is passionate about his work and determined to succeed. During our shared research projects, I noticed he is a great team player as well. I recommended Vahid for both academic and industrial positions and have no doubt he will be a great addition to any organization. On top of technical capabilities, Vahid is professional, polite and respectful. " and "I highly recommend Vahid Reza Khazaie as a talented and dedicated professional. I have had the pleasure of working with Vahid on multiple projects since 2018, including his bachelor thesis where I served as his advisor. Throughout our time working together, I have been impressed by Vahid's explorative attitude, inquisitive mind, and ability to consistently meet deadlines with extra effort and seriousness. Additionally, in a machine learning project focused on healthcare, Vahid… Show more"
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Toronto, Ontario, Canada
- Built a general framework for multi-modal representation learning for health domain- Improved self-supervised representation learning with diffusion models for up to 10%
Toronto, Ontario, Canada
- Developed an open-source toolkit to detect climate change impacts in the computer vision domain.- Served as technical lead and played a pivotal role as the driving force behind the development of the codebase in applied projects related to computer vision and anomaly detection- Provided technical support to industry partners to adopt research findings in applied setting
Toronto, Ontario, Canada
- Developed codebase for session-based recommender systems in the e-commerce domain- Actively participated in knowledge transfer session, sharing expertise on fraud detection with industry partners
London, Ontario, Canada
- Improved anomaly detection performance of autoencoders by 3% with adversarial perturbations- Improved anomaly detection performance of context autoencoders by 10% with adversarial context masking- Proposed a light yet efficient anomaly detection method that reduces computational costs by 93% compared to knowledge distillation methods- Improved recognition performance on very low-resolution faces by 83% with identity-preserved deep neural networks as compared to SRGAN- Reduced… Show more - Improved anomaly detection performance of autoencoders by 3% with adversarial perturbations- Improved anomaly detection performance of context autoencoders by 10% with adversarial context masking- Proposed a light yet efficient anomaly detection method that reduces computational costs by 93% compared to knowledge distillation methods- Improved recognition performance on very low-resolution faces by 83% with identity-preserved deep neural networks as compared to SRGAN- Reduced the time of latent vector recovery in GANs by 99% as compared to optimization-based methods Show less
London, Ontario, Canada
CS9542 - Advanced Artificial Intelligence - Winter 2022CS1026 - Computer Science Fundamentals I (Python Programming) - Winter 2021, Fall 2021
Canada
- Improved the performance of barcode recognition on driving licenses by 20% via implementing a customized U-Net for image enhancement in a six-month internship
Other employees you can reach at vectorinstitute.ai. View company contacts for 247 employees →
Xijie Zeng
Colleague at Vector InstituteCanada
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Sageev Oore
Colleague at Vector InstituteHalifax, Nova Scotia, Canada
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Chris Darcy
Colleague at Vector InstituteGreater Toronto Area, Canada
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Sereen Aziz
Colleague at Vector InstituteToronto, Ontario, Canada
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Gokul Ravi
Colleague at Vector InstituteToronto, Ontario, Canada
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Tyler Kastner
Colleague at Vector InstituteToronto, Ontario, Canada
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Yifei Sun
Colleague at Vector InstituteToronto, Ontario, Canada
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Leonardo Cotta
Colleague at Vector InstituteCanada
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Carly Cummings
Colleague at Vector InstituteCanada
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Aditya Rajeev
Colleague at Vector InstituteUnited States
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Vahid Reza Khazaie works for Vector Institute.
Vahid Reza Khazaie is listed as Applied Machine Learning Specialist @ Vector Institute | Generative AI at Vector Institute.
Vahid Reza Khazaie is based in Toronto, Ontario, Canada while working with Vector Institute.
Vahid Reza Khazaie has worked for Vector Institute, Western University, and Mitacs.
Vahid Reza Khazaie's colleagues at Vector Institute include Xijie Zeng, Sageev Oore, Chris Darcy, Sereen Aziz, and Gokul Ravi.
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Vahid Reza Khazaie holds Master Of Science - Ms, Computer Science, Overall Gpa 4.0 Out Of 4.0 from Western University.
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