ALUMNI

BEN MISIUK

PhD Seafloor and Habitat Mapping

Postdoctoral Fellow in 4D Oceans Lab

I graduated from Acadia University in 2014 with a BSc. Hons. in environmental science, and from Memorial University in 2019 with a PhD in geography. My PhD work aimed to produce benthic habitat map products for several Canadian Arctic communities, and my research focus was on incorporating spatial concepts into machine learning-based benthic habitat methodologies – particularly, the concepts of geomorphometric scale and spatial autocorrelation. In addition to further exploring these concepts, my post-doctoral research includes developing methodologies for harmonizing acoustic data acquired from different sensors, and on visualizing and interacting with marine data. I am also working as part of the Coastal Habitat Mapping of Placentia Bay project to characterize the benthic environments of several important locations in the bay. This work will provide baseline ecological information for an area that is exposed to anthropogenic stressors including fishing, aquaculture, oil and gas, and shipping. 

Xiaodong Shang

PhD. Student (visiting)

 

I graduated from the Shandong Agricultural University in 2013 and Wuhan University in 2016. Now I am pursuing my doctor’s degree in Wuhan University. Meanwhile, I am also a visiting graduate student in Marine Institute of Memorial University of Newfoundland. My research interests include acoustic remote sensing, image processing and machine learning. In MI, my research project is about habitat mapping using 3DSS (three- dimensional side scan sonar). I will be

involved in the data processing and conduct the seabed classification for habitat mapping. During my research period, the 3DSS measurement mechanism, data acquisition and data processing will be studied. Meanwhile, the relationship between habitat characteristics and the obtained point cloud data will be established. According to the relationship, the seabed classification model will be constructed and can be used for producing habitat maps.  

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