Hrishikesh Telang
Research Assistant, St. Francis Institute of Technology
telanghrishi [AT] gmail.com
Bio
My goal as a doctoral researcher is to understand the production and consumption of misinformation in the Global South, with the ultimate goal of creating effective content moderation and platform designs that promote news literacy for all users.
I am currently a Researcher at St. Francis Institute of Technology, affiliated with the University of Mumbai. My work focuses on areas such as AI-driven document enhancement, applicant tracking systems, and forensic analysis of fake images using machine learning techniques. Before joining St. Francis Institute of Technology, I completed my Master’s in Information Systems from Syracuse University, where I specialized in Data Science. During my graduate studies, I worked as a Research Analyst at Syracuse University, exploring topics like digital transformation and AI in social media content moderation. I also hold a Bachelor’s degree in Computer Engineering from the University of Mumbai. Prior to my academic pursuits, I gained extensive industry experience through internships and contracts with organizations like The Washington Post, where I improved data pipelines and campaign performance, and Revere VC, where I managed financial data using advanced AI OCR algorithms. Additionally, I have collaborated on projects leveraging cloud technologies, including building Azure and AWS-based data pipelines. Throughout my academic and professional journey, I’ve contributed to impactful projects and research papers on topics like malaria parasite detection using machine learning and performance classification using advanced statistical approaches.
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Effective Performance of Bins Approach for Classification of Malaria Parasite using Machine Learning
Hrishikesh Telang, Kavita Sonawane
2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)
COVID-19 and Malaria Parasite Detection and Classification by Bins Approach with Statistical Moments Using Machine Learning Authors
Hrishikesh Telang, Kavita Sonawane
I.J. Image, Graphics and Signal Processing, 2023
Effective Performance of Bins Approach for Classification of Malaria Parasite using Machine Learning
Hrishikesh Telang, Kavita Sonawane
2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)
COVID-19 and Malaria Parasite Detection and Classification by Bins Approach with Statistical Moments Using Machine Learning Authors
Hrishikesh Telang, Kavita Sonawane
I.J. Image, Graphics and Signal Processing, 2023
Projects
A social media research toolkit for Twitter/X
Scalable Data Pipeline for YouTube Insights and Advertising Success
An app to track calories through photos
Analyzing Financial Tweets
An LLM App for Resumes
A social media research toolkit for Twitter/X
Scalable Data Pipeline for YouTube Insights and Advertising Success
An app to track calories through photos
Analyzing Financial Tweets
An LLM App for Resumes
Iterative Hybrid Algorithm
An App to ask questions related to PDF content
Vitæ
Full Resume in PDF.
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St. Francis Institute of Technology August 2024 - nowResearch Assistant
School of Engineering -
Revere VC April 2024 - Mat 2024Product Analyst (contract)
Venture Capital -
Syracuse University iSchool January 2024 - June 2024Research Analyst
Core Data Science -
The Washington Post June 2023 - December 2023Data Analyst
Audience Development and Insights -
Syracuse University January 2022 – May 2023Graduate Research Assistant
Misinformation -
Retention Office at SU January 2022 - May 2023Data Analyst
Institutional Research -
Office of IEA at SU Summer 2022Data Analyst Intern
Institutional Research -
St. Francis Institute of Technology April 2020 - June 2021Data Analyst Intern
Research -
Syracuse University August 2021 – May 2023M.Sc. Student
Masters in Information Systems
Recipient of the iSchool Values Merit Award -
University of Mumbai August 2016 - August 2020B.E. Student
Computer Science
First Class with Distinction