Earlier this year completed his Master鈥檚 in the Department of Geography and Environmental Management here in the Faculty of Environment at the University of 蓝莓视频. His Thesis, titled 鈥
听 Multi-criteria suitability analysis and spatial interaction modeling of retail store locations in Ontario, Canada (PDF)鈥澨 made some interesting conceptual, methodological, and application contributions. He conceptualized new site and situational criteria for retail location by developing criteria that addressed the accessibility, visualization, and service area of potential locations. His methodology included integrating the spatial interaction model known as Huff鈥檚 Model into two criteria that represented total potential retail spending and estimated retail spending under competition for an assessed location. He applied his work to the entire province of Ontario (4.7 million parcels), a feat that required commandeering campus labs and creating a work flow that could handle big data. Bogdan鈥檚 thesis work was funded by a Cluster grant and he worked along side Andrei Balulescu, Keith Davey, and Junyi Wang on this research project. Through the MITACS funding Mr. Caradima worked eight months as an intern for a $50 Billion International company, which gave him insights into corporate decision-making and the challenges of reconciling different time-scales in deliverables from corporate and academic research.
Following his graduation he has been doing some consulting for and has been accepted to the PhD program at ETH (Swiss Federal Institutes of Technology) Zurich (Ranked 9th globally by QS Rankings) in the Department of Systems Analysis, Integrated Assessment and Modelling to fulfill an Ecological Modelling position. Mr. Caradima will be funded by the project 鈥溾 under the guidance of and along with , , and . The project will integrate existing data from several Swiss monitoring programs to analyze effects of multiple stressors on the macroinvertebrate and fish communities in Swiss rivers with multivariate statistical methods. These findings will be used to extend and improve the mechanistic model Streambugs to predict the macroinvertebrate communities in streams.
Bogdan鈥檚 training in the Faculty of Environment鈥檚 GIS and spatial analysis courses, along with his Masters and personal pursuits, have given him skills in computer programming (java, python, R), spatial statistics, geographical information systems, agent-based modelling, and many other areas that suggest he鈥檚 going to have a great and successful time in Zurich.
Your peers in the lab and the faculty in the department and I all wish you congratulations and look forward to hearing about your future work and experiences at ETH and in Zurich.
Congratulations!
