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Oct 28, 2026 · Finance ★ Lower the Risk, Then Raise It! My favourite investing strategy for beginners and long-term investors: simplify with an index, then add the performance back with leverage. Oct 15, 2026 · My Projects ★ GeneExpert A foundation model for bulk RNA-Seq gene expression data. More to come once it's published. Mar 10, 2026 · News ★ Featured in UBC's “Meet our Students” Series Excited to be highlighted in the UBC Graduate School's Meet our Students series. Nov 10, 2026 · Finance Why I Stopped Expecting a Big Crash? On a log scale, the S&P 500 looks a lot more linear than the headlines suggest. Here's what that tells me, and what it doesn't. Oct 2, 2026 · Books Start with Why Start with Why: How Great Leaders Inspire Everyone to Take Action — Simon Sinek Why getting the purpose right from the start matters more than any amount of data, motivation or competition. Sep 18, 2026 · Books Ikigai Ikigai: The Japanese Secret to a Long and Happy Life — Héctor García and Francesc Miralles What the longest-living people can teach us about purpose, flow, and doing one thing at a time. Sep 4, 2026 · AI/ML A Vancouver AI Community I've Been Learning From If you're curious about AI and want to meet others who are too, VAM! might be worth checking out. Aug 20, 2026 · Finance Learning Finance with MIT's Finance Theory I I'm halfway through MIT's free Finance Theory I course and loving it. Here's why you should watch it too. Jul 22, 2026 · Books Notes on Being a Man Notes on Being a Man — Scott Galloway Less a manual for me than a window into Scott Galloway and how he sees life. Jul 8, 2026 · Books Greenlights Greenlights — Matthew McConaughey Matthew McConaughey's memoir about life's red lights, yellow lights and greenlights. Jun 17, 2026 · Books Friends, Lovers, and the Big Terrible Thing Friends, Lovers, and the Big Terrible Thing: A Memoir — Matthew Perry Matthew Perry's candid memoir about fame, Friends, and his long struggle with addiction. May 27, 2026 · Books Atomic Habits Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones — James Clear Not much new if you've read others on the subject, but if this is your first book on habits, it's a must-read. May 6, 2026 · Books Born a Crime Born a Crime: Stories from a South African Childhood — Trevor Noah One of the first biographies I read, full of Trevor Noah's childhood stories. Apr 15, 2026 · Books The Psychology of Money The Psychology of Money — Morgan Housel A book I really enjoyed reading and learned a lot from. Jun 1, 2024 · My Projects Goal-Oriented Autonomous Driving with Large Language Models Bringing LLMs into an end-to-end driving pipeline to give it a goal and focus its attention on what matters in the scene. Sep 1, 2023 · My Projects Depth Estimation with Online Calibration for Autonomous Driving Monocular and stereo depth estimation, with camera calibration and absolute scale recovered on the fly. Sep 1, 2022 · My Projects Urban Driving with a Model-Based Reinforcement Learning Agent A Dreamer-inspired agent that learns to drive in a simulator and keeps adapting to the driver for a more comfortable ride. Mar 1, 2022 · My Projects Prediction and Planning for Robotics and Autonomous Driving A comprehensive study of end-to-end and modular autonomous driving pipelines. Sep 1, 2021 · My Projects Multi-Pedestrian Trajectory Prediction from the Ego Vehicle Predicting where pedestrians will go, modelling both individual and social behaviour. Sep 1, 2020 · My Projects Efficient 2D Object Detection for Production Line Inspection A family of fast RetinaNet-style detectors for industrial inspection, extended to reading text.

Behnam Maneshgar

About me

I am a machine learning researcher whose work spans machine vision, autonomous driving, and computational biology. My background combines academic research with industry experience, and I work at the intersection of these fields, which are becoming more closely connected every day.

My path in computer science began in 2010, when I enrolled in the Software Engineering program at Isfahan University in Iran. After graduating in 2014, I moved to Canada to pursue a master’s degree in computer science at Concordia University. There, I worked with Dr. Sudhir P. Mudur and Dr. Charalambos Poullis in the Immersive and Creative Technologies Lab, where I deepened my expertise in computer vision.

After my master’s, I joined Matrox Electronic Systems as a software designer, at a time when deep learning was first moving from research into industry. Over four years, I applied it to real machine vision problems, from segmentation to inspection, and led a team in prototyping machine learning solutions for use in the field. In 2021, I moved to Vancouver to join Huawei Technologies, where I worked on autonomous driving across perception, prediction, and planning.

Over time, I became interested in biology and how AI could help us better understand biological systems and human health. In 2024, I returned to academia to pursue a PhD in Bioinformatics at the University of British Columbia, under the supervision of Dr. Ali Bashashati at the AIMLab. My research brings my machine learning background to questions in human biology, starting with foundation models for gene expression data.

My journey is still unfolding, and I try to keep this website up to date as it does. Thanks for stopping by!

Contact Details

Behnam Maneshgar
Vancouver, BC, Canada
behnam@maneshgar.com

Resume

Education

University of British Columbia

2024 – 2029

PhD in Bioinformatics

Concordia University

2015 – 2017

Master’s in Computer Science

University of Isfahan

2010 – 2014

B.Eng. in Software Engineering

Experience

PhD Researcher

2024 – Present

University of British Columbia · AIMLab

Research in bioinformatics under the supervision of Dr. Ali Bashashati.

AI Research Engineer

2021 – 2024

Huawei Technologies Canada

Applied research in perception and planning algorithms for autonomous vehicles.

Software Designer

2017 – 2021

Matrox Electronic Systems

Research and development of deep learning solutions for the machine vision industry.

Research Assistant

2016 – 2017

Concordia University · ICT Lab

Master’s thesis at the Immersive and Creative Technologies (ICT) Lab.

Teaching Assistant

2016 – 2017

Concordia University

  • Computer Graphics — Full TA 4 semesters
  • Computer Graphics — Marker 5 semesters
  • Computer Vision — Marker Winter 2017

Research Intern

2009 – 2010

University of Isfahan · Software Security Lab

Bachelor internship at the Software Security Lab.

Honors & Awards

Awards

  • CIHR Doctoral Research Award – Canada Graduate ScholarshipMay 2025
  • UBC Four Year Fellowship (4YF)Sep 2024
  • Concordia University Conference and Exposition AwardJan 2017
  • Concordia University Graduate Studies Fellowship2016 – 2017

Honors

  • Golden Key International Honour SocietyAug 2016
  • Honorable Mention, ACM-ICPC Regional Contest2011

Projects

GeneExpert

2024 – 2026

AIMLab, University of British Columbia

Goal-Oriented Autonomous Driving with Large Language Models

2023 – 2024

Huawei Technologies Canada

Depth Estimation with Online Calibration for Autonomous Driving

2023

Huawei Technologies Canada

See all my projects in the Journal →

Publications

  1. Factorized Context Aggregation for Robust Cancer Risk Estimation via Soft Re-Ranked Retrieval and Hierarchical Anchors 2026
    P Azadi Moghadam, AK Mirabadi, B Maneshgar, H Farahani, A Bashashati IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  2. Knowledge-Enhanced Representation Learning with Retrieval-Augmented Multimodal Fusion for Survival Prediction 2026
    Z Zhang, P Azadi, B Maneshgar, AK Mirabadi, N Alabi, H Farahani, et al. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  3. Evaluating Deep Learning Feature Towards Ranking of Immunocytochemistry Images 2019
    P Ahmadvand, B Maneshgar, P Ahmadvand 4th International Conference on Pattern Recognition and Image Analysis (IPRIA)
  4. Automatic Adjustment of Stereoscopic Content for Long-Range Projections in Outdoor Areas 2017
    B Maneshgar, L Sujir, S Mudur, C Poullis 25th ACM International Conference on Multimedia, pp. 100–108
  5. A Long-Range Vision System for Projection Mapping of Stereoscopic Content in Outdoor Areas 2017
    B Maneshgar, L Sujir, SP Mudur, C Poullis 12th International Conference on Computer Graphics Theory and Applications (GRAPP), pp. 290–297
  6. Spatial Augmented Reality in Outdoor Areas Using Long-Range Vision Systems 2017
    B Maneshgar Master’s thesis, Concordia University

Contact Me

Send me a message below, or email behnam@maneshgar.com.

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