About Us
Meet our products and team membersIf a picture is worth a thousand words, think of us as the translator; taking the vigible and infrared information from the image, adding an array of environmental data and fusing them together – adding analytics and creating immensely valuable information for your operation.
Founded in 2011, SceneSharp specializes in providing data analytics using superior visual and infrared data to help inform better business decisions. We’re exclusively focused on data quality and analytics. Our products can improve operations in industries such as forestry, utilities, and security.
Our Team
Dr. Rakesh Mishra
Chief Technology Officer
BioDr. Rakesh Mishra
Chief Technology Officer (CTO)
Dr. Rakesh Mishra serves as Chief Technology Officer (CTO) and leads the Research and Development at SceneSharp. Dr. Mishra is the inventor of our data fusion, AI-based object detection, and interface design products.
Dr. Mishra is an expert in optical sensor data fusion, computer vision and AI-based object detection using Multispectral and Hyperspectral data. He has authored numerous research articles on image fusion, object detection and LiDAR. Before joining SceneSharp, he worked with premier organizations such as: Geodesy and Geomatics Engineering, University of New Brunswick, Canada; Indian Institute of Technology, Kanpur, India; and Indian Space Research Organization (ISRO), India where he has successfully developed many algorithms for image fusion, LiDAR and image classification. He has also partnered with the Canadian Department of National Defence (DND), National Research Council (NRC), and Natural Resources Canada (NRCan) in innovative research projects.
Dr. Mishra received his B.Sc. degree in Physics and Mathematics from University of Allahabad, India; an MS degree in Computer Science from U. P. Technical University, India; and a PhD in optical data fusion and object detection from the Department of Geodesy and Geomatics, University of New Brunswick, Canada.
Andrew Harrigan
Chief Financial Officer
BioAndrew Harrigan
Chief Financial Officer (CFO)
Andrew is a financial executive with over 25 years of business experience. His past experience includes 10 years as CFO for an information technology company that grew by 300% and expanded operations internationally during that time. He was also in an operations role at J.D. Irving with a focus on supply chain optimization, strategic planning, initiative management, and process improvement. Andrew spent 10 years at a large public company in a progression of finance and accounting roles including Director of Finance for a division generating over $1B in revenue annually. He has supported numerous start-up and scale-up companies to achieve sustainable growth, including a financing round of $10M+, business and financial model design, and cash flow management. Andrew has extensive experience in leading finance teams responsible for all aspects of accounting, budgeting, reporting, process design, cost controls, governance, tax, treasury and financial systems.
Dr. Mohammad Rezaee
Senior Research Scientist
BioDr. Mohammad Rezaee
Senior Research Scientist
Mohammad leads our research team, drawing upon his years of expertise in remote sensing, machine learning algorithms and photogrammetry. His proven leadership and technical skills support our team to ensure successful outcomes.
Mohammad holds a PhD from the University of New Brunswick; his thesis was “Developing a Deep Learning Network Suitable for Automated Classification of Heterogeneous Land Covers in High Spatial Resolution Imagery.” He obtained his Bachelor of Engineering and Master of Science (M.Sc.) in Remote Sensing and Geomatics Engineering from the University of Tehran.
Vaasudevan Srinivasan
Geomatics Technical Lead
BioVaasudevan Srinivasan
Geomatics Technical Lead
Vaasudevan joined SceneSharp a year ago as our lead developer. He brings to his position the skills of a highly organized researcher with proven ability to design and implement complex Remote Sensing and GIS workflows. Vaasu is utilizing his advance knowledge and extensive experience by assisting SceneSharp in the advancement of geospatial analysis and the development of Machine Learning/Deep learning Algorithms.
Vaasu holds a certification as both an Esri Desktop Associate and an OpenEDG Python Associate. He has a Masters degree from the University of New Brunswick and obtained his Bachelor of Engineering in GeoInformatics from Anna University, India.
Fei Tong
Research Scientist
BioFei Tong
Research Scientist
Fei Tong received the B.S. and M.S. degrees in computer science and technology from the China University of Geosciences, Wuhan, China, in 2015 and 2018, respectively. He is currently working toward the Ph.D. degree in AI based remote sensing environmental information extraction with the University of New Brunswick, Fredericton, NB, Canada. His main research interests include remote sensing image processing and artificial intelligence.
Forestry Research Team
Gaetan Pelletier
Executive Director NHRI
BioGaetan Pelletier
Executive Director NHRI
Gaetan is a forester and forest operations manager with over 35 years experience. From managing the team to running an applied research center, he is constantly identifying new funding opportunities and developing promising partnerships.
Gaetan has led qualified teams and enabled them to apply AI to solve real problems. He was instrumental at determining the right approach with SST to develop PFIs. Finally, with the help of Pamela Hurley Poitras, he elaborated the current method NHRI uses to produce quality training data by leveraging field plots and high-resolution imagery from UAVs or larger censors. Along with Jeff Smith, he designed the model for predicting Basal Area and Vigor. He will be the lead and liaison for the whole initiative but also the principal investigator on most projects.
Pamela Hurley Poitras
Silviculture Specialist / Drone Pilot
BioPamela Hurley Poitras
Silviculture Specialist / Drone Pilot
Pam has over 30 years of applied forestry experience. Since joining the team, Pam has worked on a variety of projects including detecting change in canopy structure using 3D modeling, flying UAV’s with various sensors to create Precision Forest Inventories. Her main responsibility in the project will consist of producing training data for models and supervise the validation exercises.
Bastien Vandendaele
Researcher
BioBastien Vandendaele
Researcher
Bastien Vandendaele holds a bachelor's degree and a master's degree in bio-engineering from the University of Liège-Gembloux Agro-Bio Tech (ULG - Belgium) where he specialized in forest and natural areas management. He completed his master thesis at the University of Sherbrooke on the development of methods for the use of terrestrial lidar in forest inventories. Passionate about new digital technologies, he is currently completing a Ph.D thesis at the University of Sherbrooke in collaboration with the NHRI, ULG and FPInnovations on the use of UAV-based lidar data in precision forestry.
Bastien is currently working on the Digital Timberlands 20/20 initiative at NHRI. He is working to improve the use of UAV-based lidar and mobile terrestrial lidar data to support wood harvesting operations. His work involves developing methods for extracting structural attributes at the scale of individual trees from high-density lidar point clouds. His involvement will provide a better understanding of the potential and limitations of these new mobile sensors, with the objective of integrating them into the next generation of enhanced forest inventories.
Jeff Smith
Geomatics Specialist
BioJeff Smith
Geomatics Specialist
Jeff joined the NHRI team after graduating from the Geographic Sciences program at the NSCC Centre of Geographic Sciences with a specialization in Remote Sensing. He brings experience in remote sensing data processing and analysis and, using machine learning methods to create tools for practitioners. His role involves processing and analyzing the necessary data to explore relationships between factors prior to include them in deep learning models.
He currently uses machine learning tools such as Random Forests and Support Vector Machines daily in his work. Jeff has successfully prepared the early prototypes for Determination of tree vigor (TVD) and Basal Area Determination (BAD) that were shared with SST and accelerated the build of first models.
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