Posts by Collection

portfolio

publications

News Dissemination on Twitter and Conventional News Channels

Published in International Conference on Enterprise Information Systems , 2017

Recommended citation: Seth A., Nayak S., Mothe J. and Jadhay S. (2017). News Dissemination on Twitter and Conventional News Channels In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 43-52. DOI: 10.5220/0006264100430052.

talks

Anomaly Detection using Machine Learning for Data Quality Monitoring in the CMS Experiment

Published:

This talk is about our project that aimed at applying recent progress in Machine Learning techniques (unsupervised machine learning method - autoencoder) to the automation of quality assessment. In our project, we concentrated on analyzing the occupancy of the drift tube chambers. The aim was to check large volumes of data in real-time and improve the ability to detect unexpected features.

teaching

Information Analysis Project

Undergraduate course, University of Michigan, School of Information, 2020

Performed the duties as a graduate student instructor for the course. Helped students navigate professional communication (presentations and written reports) with industry clients for their capstone project. Link

Models of Social Information Processing

Undergraduate course, University of Michigan, School of Information, 2020

Performed the duties as a graduate student instructor for the course. Led discussion sections and contributed to the creation of assignment sets. Helped students develop an understanding of technical structures of social networks and basics of game theory. Link

Information Analysis Capstone I

Undergraduate course, University of Michigan, School of Information, 2021

Performed the duties as a graduate student instructor for the course. Helped students navigate professional communication (presentations and written reports) with industry clients for their capstone project. Link

Network Analysis

Graduate course, University of Michigan, School of Information, 2021

Performed the duties as a graduate student instructor for the course. Helped students develop programming skills to manipulate and analyze real network data using Python. The course includes topics such as network evolution, link prediction, network centrality, models of information diffusion on networks, and community structure. Link