Jacky C. K. Chow, P.Eng., is a diagnostic radiologist with Alberta Health Services and an Adjunct Associate Professor in Geomatics Engineering at the University of Calgary. He completed his BSc (2009) and PhD (2014) in geomatics engineering at the University of Calgary, the latter under Derek Lichti and William Teskey. He then held postdoctoral fellowships in the Netherlands and Sweden on inertial human-motion tracking, earned an MBA from Aston University (2017), and worked as a sensor-fusion engineer at Leica Geosystems developing laser-guided autonomous drones, before returning to the University of Calgary to complete an MD (2020) and a diagnostic-imaging residency. His work bridges geomatics and medicine, spanning sensor fusion and error modelling, photogrammetry, SLAM, inertial motion capture, and machine learning for biomedical and radiological imaging. He is the founder of Vusion Technologies and a former NSERC, Alberta Innovates, Killam, and Marie Skłodowska-Curie scholar.

Dr. Ivan Detchev is an Associate Professor (Teaching) in Geomatics Engineering at the University of Calgary, where he also serves as Associate Head (Undergraduate). He earned his BScE in geomatics engineering from the University of New Brunswick (2007) and his MSc (2010) and PhD (2016) in digital imaging systems from the University of Calgary, with graduate research in digital photogrammetry and optical metrology for biomedical and civil engineering, including 3D reconstruction of scoliotic torsos and close-range photogrammetry for fine-scale infrastructure monitoring. His technical work spans multi-camera system calibration and structural deformation monitoring, while as an instructor his focus has shifted toward engineering education, including active learning and threshold concepts in geomatics. He is a recipient of Schulich's 2024 Undergraduate Teaching Excellence and Training Excellence Awards and contributes to geomatics education and outreach internationally through the ISPRS Student Consortium and a working group on promoting the profession.

Akshay Bharadwaj is a robotics and SLAM researcher with roughly 8 years of combined research and production experience in autonomous perception systems. He holds a PhD from the University of Calgary, where his research focused on neural implicit SLAM with IMU-assisted odometry, and an MS from Ohio University's Avionics Engineering Center, where he developed custom multirotor UAV platforms. At LocusLabs Inc., he deployed 3D mapping and localization systems across 180+ airports worldwide, and his work spans LiDAR-inertial SLAM, visual-inertial odometry, and sensor fusion. He holds a U.S. patent and has co-authored peer-reviewed publications at ION and IEEE/ION PLANS.

• Beyond Checkerboards

A PhD student in Geomatics Engineering at the University of Calgary. His research focuses on low-cost 3D mapping, smartphone-based photogrammetry and LiDAR integration, AI-assisted depth estimation, and heritage documentation. He is currently developing UC3D, a smartphone-based mapping platform for accessible and scalable 3D reality capture.

• UC3D, low-cost 3D mapping and heritage (with Parks Canada)
• Point-cloud change detection and deterioration analysis

Holds a master's degree in civil engineering with a concentration in BIM, and is focused on research and development in mobile mapping, indoor spatial data acquisition, computer vision, and applications of Gaussian Splatting. He is particularly interested in developing accessible, smartphone-based solutions for accurate 3D mapping and digital-twin generation. Current research direction: "LiDAR-Constrained Gaussian Splatting for reconstruction of HBIM and BIM 3D models."

• Mobile mapping network design for indoor scanning
• RTLS and mobile LiDAR sensor fusion
• LiDAR-constrained Gaussian Splatting for BIM/HBIM

Julian grew up in Calgary and loves working with new technologies and the outdoors. He completed his undergraduate degree in Geomatics Engineering at the University of Calgary with a minor in energy and environment. His research interests are in capture-system development, both hardware configuration and software implementation. His thesis develops an automated, non-invasive pipeline that pairs a multi-camera optical setup with Gaussian Splatting to measure reindeer antlers, achieving 3.4 to 3.7 mm mean cloud-to-cloud accuracy against reference laser scans; the rig is now deployed for multi-season field collection supporting biodiversity, environmental monitoring, and regenerative-medicine research.

• Non-invasive reindeer antler reconstruction

Srijan Thapa is a graduate student in Geomatics Engineering at the University of Calgary and a member of Dr. Derek Lichti's research group, co-supervised by Dr. Koren E. Roach. He completed his Bachelor of Engineering in Geomatics Engineering from Kathmandu University, Nepal, in Spring 2023. His research focuses on dual fluoroscopy systems, including system calibration, 3D motion tracking, and the application of imaging technologies to musculoskeletal biomechanics and osteoarthritis research.

• Dual-fluoroscopy calibration and motion tracking

Jackson Cooper is an MSc student in geomatics engineering at the University of Calgary, working in Prof. Derek Lichti's Multimodal Spatial Imaging Lab on medical image synthesis and photogrammetric measurement. His current thesis project, MedFlow, uses rectified-flow generative models to synthesize pseudo-PET images from CT, building on his earlier first-author work on self-calibrating bundle adjustment for fluoroscopic distortion correction (Diagnostics, 2024). He brings a strong geomatics foundation in estimation theory, photogrammetry, and sensor calibration, with broader interests in 3D reconstruction, neural rendering (Gaussian splatting), and high-performance GPU computing, and has previously worked at the Canadian Space Agency on satellite-imagery pipelines.

• MedFlow: CT-to-PET image synthesis