I am a researcher specializing in machine learning and computer vision. My journey into computer science began in 2010 when I enrolled in the Software Engineering program at Isfahan University, Iran. After graduating in 2014, I moved to Canada to pursue a Master’s in Computer Science at Concordia University. During my time there, I had the privilege of working under the supervision of Dr. Sudhir P. Mudur and Dr. Charalambos Poullis in the Immersive and Creative Technologies (ICT) Lab, where I deepened my expertise in computer vision. After completing my degree, I transitioned into industry and spent four rewarding years as a software designer at Matrox Electronic Systems, gaining hands-on experience across various areas of software development. In 2021, driven by a continued passion for innovation, I relocated to Vancouver to join Huawei Technologies, where I worked on cutting-edge challenges in autonomous driving, focusing on the three pillars of Perception, Prediction, and Planning. In 2024, I made the decision to return to academia and pursue my PhD. I am currently a PhD student in Bioinformatics at the University of British Columbia under the supervision of Dr. Ali Bashashati. My research focuses on computational biology and genomics. For more details, please visit the AIMLab website. My journey is ongoing—stay tuned for more updates!
Behnam Maneshgar
Vancouver, BC, Canada
behnam@maneshgar.com
PhD in Bioinformatics• 2024 - 2029
Masters in Computer Science • 2015 - 2017
B.Eng. in Software Engineering • 2010 - 2014
Huawei Technologies Canada (2021 - Present)
Applied research in perception and planning algorithms in autonomous vehicles.
Matrox Electronic Systems (2017 - 2021)
Research and development of deep learning solutions for machine vision industry.
Concordia University (2016 - 2017)
Masters thesis at the Immersive and Creative Technologies (ICT) Lab
Isfahan University (2007 - 2010)
Bachelor intership at Software Security Lab
Concordia University
• Computer Graphics: Full TA | 2016 - 2017 (4 semesters).
• Computer Graphics: Marker | 2016 - 2017 (5 semesters).
• Computer Vision: Marker | Winter 2017.
Ahmadvand Po, Maneshgar B, Ahmadvand Pa, “Evaluating Deep Learning Feature Towards Ranking of Immunocytochemistry Images”, 4th International Conference on Pattern Recognition and Image Analysis (IPRIA), 2019.
Maneshgar B, Sujir L, Mudur S.P., Poullis C,“Automatic adjustment of stereoscopic content for long-range projection in outdoor areas”, 25th ACM Multimedia conference, 2017.
Maneshgar B, Sujir L, Mudur S.P., Poullis C,“A Long-Range Vision System for Projection Mapping of Stereoscopic Content in Outdoor Areas”, 12th International Conference on Computer Graphics Theory and Applications GRAPP, 2017.
CIHR Doctoral Research Award - Canada Graduate Scholarship! | May 2025
UBC Four Year Fellowship (4YF) Award | September 2024
Concordia University Graduate Studies/Fellowship Award | Winter 2016 - 2017
Concordia University Conference And Exposition Award | January 2017
Golden Key International Honour Society | August 2016
Honorables mention for participating in ACM-ICPC Regional Contest | 2011
Elastic 3D Space is an international research project, based at Concordia University in Montréal, exploring stereoscopy, 3D video and encompassing virtual and augmented reality. Growing over the last two years, with projects in the UK and Australia, Elastic 3D Space explores the potential future for stereoscopy (the technology behind VR and 3D cinema) through projected and electronic screen based methods.
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Computer Graphics, Concordia UniversityLeading developer of component-level solutions for machine vision, image analysis, medical imaging, and video surveillance.
ImagingOur vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.
Artificial IntelligenceThe primary objective of this project is the development of an innovative hardware and software solution for the rapid scanning and 3D reconstruction of objects.
3D Reconstruction, SLSThe Immersive and Creative Technologies Lab was founded in late 2011 and since its establishment it has been focusing on fundamental and applied research in specific areas of Computer Science. In particular researchers at the lab are focused in the areas of computer vision, computer graphics, virtual augmented reality and creative technologies, and their application in a wide range of fields.
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