Research Talk Schedule

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The CWDS seminar series is centered around intellectual exchange and interaction, and the audience is encouraged to ask questions during presentations. The goal is a seminar that looks less like a lecture and more like a spirited discussion of issues raised in a relatively brief presentation of a paper or a research project.

All seminars will be held at 12:30 on Wednesdays in TLB 307B on the third floor of the Tioga Library Building. We will aim to conclude by 1:30.

If you are interested in learning more about our seminar series please contact Mohamed Ali.

Title Date of Presentation Research Focus
Student Updates II 12/03/2014

Speaker: Nitin Arya
Topic: Distributed KNN & characterization

Student Updates 11/26/2014

Title: Named Entity Recognition
Speaker: Shruti Balabhadruni
Abstract: Named Entity Recognition (NER), i.e. the task of automatically identifying and extracting elements from predefined categories from texts, is an important problem in Natural Language Processing (NLP). In her presentation, Shruti will talk about how she tackled the challenges of NER for recognizing organisation and technology names in social media profiles.

Understanding Collaborative Creativity in Scratch 11/19/2014

Abstract: Scratch is (http://scratch.mit.edu) a large online remixing community where millions of young people have built, shared, and collaborated on interactive animations and video games created using a mix of graphics, images, sound, and code. I will present a series of studies that use observational data from the Scratch online community to answer a series of questions about how young people create, collaborate and interact in informal learning communities.

The Practice of Data Science - Ying Li Chief Data Scientist at EV Analysis Corporation 11/12/2014

ABSTRACT: Amidst the proliferous definitions of data science, there is a common understanding of the practice of data science. To be a disciplined practice of data science that truly deserves the hyped social and economical attention, and more importantly that will scale and maximize to new potentials, a set of principles should be established to guide the practice.

NUMS Elliptic Curves and their Implementation 11/05/2014

Abstract: Trust in the standardized and widely used NIST curves has been affected by the Snowden revelations. As response, part of the cryptographic community has devoted significant effort into looking for alternative curves that may offer stronger security assurances and also achieve higher performance. 
 

Computational protein structure prediction: a success story for the application of data science to natural science 10/29/2014

ABSTRACT
Proteins naturally fold into a consistent 3-dimensional structure largely determined by their sequence of amino acids. Hence it should be possible to predict the native fold given the gene sequence. Knowing the structure of the proteins encoded by genes helps us to understand and modify the underlying genetic functions.

Machine Learning for Information Retrieval 10/22/2014

The talk will be a shallow introduction to some uses of Machine Learning (ML) in Information retrieval. The talk will be a survey in learning ranking functions, building query models, and document representations.
Speaker: Niranjan Balasubramaniun

Managing Quality and Cost across the Healthcare Spectrum 10/15/2014

Prabhu Ram, AVP at Edifecs | Viren Prasad, General Manager, Engineering at Edifecs
This presentation will summarize major trends affecting the US healthcare and discuss their impacts to various stakeholders including patients, insurance companies, providers and employers.  Approaches to solving some of the issues will also be discussed.

Readmission Risk Using CT Imaging 10/08/2014

Girish Srinivasan, Clinical Solutions Leader at Samsung Electronics, will give a brief intro into Samsung's foray into the medical business. He'll then discuss his work on readmission risk prediction using CT imaging. 
 

Models of Dynamic User Preferences 10/01/2014

Speaker: Komal Kapoor
Recommendation systems interact with people on a daily basis, serving as essential tools for navigation and decision making. Such systems have to deal with dynamic user interests and deliver relevant and engaging content over time. Changing preferences are a significant challenge for known recommendation methods. While techniques have been developed for tracking changes in preferences using time weighting and drift functions, a major drawback of these approaches is that they fail to incorporate insights from evolutionary psychology of preferences.
 

Computing on Private Data and its Applications to the Health Care Industry 09/24/2014

Abstract: Public Cloud Storage Systems are an economically advantageous way for health care provides to manage health care data. However, in this scenario, there are significant privacy related issues. A naive use of cryptographic techniques do not solve these problems. In this talk we will survey recent research results aiming at adding privacy to public cloud computing systems and their applications to the health care industry.