Targeted phishing is one of the most common and damaging cybersecurity attacks, incurring tens of billions of dollars in losses a year. In order to increase the success of the phishing emails, attackers often craft emails that impersonate real people or legitimate online services, and send them from networks and hosting sites that have a high reputation. This leads major email security services, including Outlook and Gmail, to often misclassify these emails as legitimate.
The goal of this project is to mitigate the risks of commuting for Columbia employees when they will have to return to work after the state-on-pause is over from May 15. As Columbia has been preparing for ramping up labs with an emphasis on social distancing within campus, higher risks could arise when the employees have to commute between home and campus. It is estimated approximately one in five residents in NYC might have been infected by COVID-19 . With the fear of exposing to coronavirus, commuters have shifted from transit to individual cars or bikes, leading to a significant drop in subway ridership , more speeding tickets , surging bike traffic , and more crashes with cyclist injuries . On the other hand, low-income people of color, who have been hit the hardest by the coronavirus , could be in a more disadvantaged position after the state “un-pause”, because: (1) they lack accessibility to other travel modes than public transit; (2) they usually live far from their workplace for an affordable accommodation and have to commute a long way; and (3) many of them take night shift but most transportation options are shut down at night after the pandemic. This project aims to address travel safety and equity concerns of essential workers and provide a responsible and safe transportation solution for the Columbia community.
Under United States securities laws corporations must disclose material risks to their operations. Human rights issues, especially in authoritarian countries, rarely show up in the information that data providers offer to investors, in part due to the risks to those subject to these abuses. The result is a dearth of data on human rights materiality and the tendency of investors to overlook human rights risks of the companies that they finance.
Humanity thrives along major rivers – this is as true now as it was ages ago. Our dependence on rivers for agriculture and electricity, as well as the need to control its flow because of our proximity, has resulted in dramatic changes to the nature of the rivers. What were once great perennial rivers are now mere trickles during the summer months. This puts the livelihood of many people, especially poor farmers, in jeopardy. How can we monitor and document changes to the flow through rivers over time? Since river gauge measurements are rare or non-existent, any way in which we can use freely available satellite imagery (Landsat, Sentinel) to determine the changes in flow patterns of rivers over time would be extremely useful. One such tool is Rivamap – it uses OpenCV to analyze satellite imagery to extract information about rivers, especially for large rivers. What about smaller ones – it does not seem to work as well. In this project, the student(s) will have to develop machine-learning based methods (or extend the capabilities of Rivamap) to study satellite images to extract information about the path and dimensions of rivers of different flow rates and flow patterns. Comparison with ground-truth data will be needed.
Data visualization, statistics, and analysis of translation entries online. More details will be furnished upon request.
The talent students will be given search entries, topics, or terms and will be required to analyze the algorithms of search results across various engines, languages. More information and details upon request.
Our lab is using clinical notes to phenotype COVID patient outcomes. The aim is to better understand the sequela of COVID-19 from clinical notes.
