Dr. Sonil Nanda is a post-doctoral researcher in the Department of Earth & Space Science & Engineering at Lassonde School of Engineering in York University, Canada.
He obtained his Ph.D. degree in Biology from York University in 2014. His Ph.D. study was multidisciplinary in nature with applied research in Chemical Engineering and Industrial Biotechnology pursued at University of Saskatchewan, Canada.
Sonil’s current research is in the area of bioresource engineering, especially in the production of renewable energy, generation of biochemical and biomaterials for comprehensive applications pertaining to sustainability and environmentally-friendly livelihood.
With special attention to various biogenic waste characterization and conversion, his expertise is in biomass pyrolysis, supercritical water gasification and fermentation.
His research interests also reside in characteristic studies of lignocellulosic biomass and biochar, carbon sequestration, environmental waste remediation and agronomy.
Surabhi Guruprasad is a graduate research assistant and Ph.D. candidate at the Lassonde School of Engineering. She earned her Masters of Science degree in Electronics Engineering and Earth and Space Science from Lassonde in 2015. Collaborating with the Global Navigation Satellite Systems (GNSS) Laboratory and the Department of Electrical Engineering and Computer Science, Surabhi administers and facilitates development of advanced user positioning techniques and algorithms. She also focuses on SoC (System-on-Chip) based software with GNSS receivers.
Her current research focuses on FPGAs (Field Programmable Gate Arrays) and the ways in which they can be applied to re-configure and update hardware faster and more cheaply.
More generally, Surabhi is interested in developing algorithms for various applications, as well as ARM (Advanced RISC Machines) based application development.
Dr. Andrew Lambe is a post-doctoral researcher in the Department of Mechanical Engineering at the Lassonde School of Engineering. He obtained his Ph.D. degree from the University of Toronto’s Institute for Aerospace Studies. His Ph.D. focused on studying novel optimization algorithms for multidisciplinary design optimization. In particular, he works on algorithms that apply to problems with many variables and constraints, as well as problems where the function and gradient computations are expensive.
Andrew’s research at Lassonde is focused on building algorithms for structural topology optimization in solid mechanics. His research applies directly to the automotive and aerospace industries, particularly in the context of designing more weight-efficient structures that can still perform their task effectively. More broadly, he is interested in design theory and novel applications of optimization to science and engineering problems.
Nada Elassal recently completed her Master's degree in Computer Science at the Lassonde School of Engineering. She earned her Bachelor's degree in Computer Science at the University of Alexandria, Egypt.
Nada's research is in the area of computer vision. It revolves around building computer algorithms for automated crowd analysis, with special focus on crowd counting.
Her research explores the use of fully unsupervised techniques which utilize the 3D context of the scene to improve upon existing methods.
Such algorithms have many applications in crowd management, design of public places, urban planning and graphical crowd simulation.
More broadly, Nada is interested in the fields of scene understanding and unsupervised machine learning algorithms.