Sushant GautamTribhuvan University · Department of Electronics and Computer Engineering
Master of Science
Interested in operationalizing AI/ML.
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Citations since 2017
13 Research Items
Graduated from the Department of Electronics and Computer Engineering, Central Campus Pulchowk, IOE, Tribhuvan University. and currently working on ML and NLP projects.
March 2019 - present
UBL R&D Center Nepal
- Project Manager
- Experimenting using new technology in various domains including education, environment and healthcare. Project Lead for NSD-Al Project
March 2019 - August 2019
Leapfrog Technology, Inc.
- AI Intern
- RNN models for time series modelling on Tensorflow for weather and pollution prediction. ARIMA model and windowing based time series predictive models Model deployment and serving
January 2018 - August 2019
UGC Research Project
- Research Assistant
- > Research assistant to Dr Nanda Bikram Adhikari for his UGC Collaborative Research Grant Project focused on finding ways to measure pollution and environment levels on Kathmandu valley.
September 2020 - August 2022
Soccer dominates the global sports market, and viewers’ interest in watching videos of soccer matches is ramping up. Globally, there is a huge and constantly increasing amount of soccer game content being generated, including video footage, audio commentary, text metadata, goal and player statistics, scores, and rankings. As a large percentage of a...
Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. Consequently, the generation of multimodal summaries is of tremendous interest for broadcasters and fans alike, as a large pe...
In association football, the development of multimodal summaries is of great importance to both broadcasters and spectators since a large number of viewers choose to follow just the soccer game highlights. The fundamental drive for the development of summarization systems is the requirement to manage huge amounts of data in different formats. By hi...
Nepal, containing a rugged elevation ranging from less than 100 meters to over 8000 meters and having various climates varying from tropical to alpine and perpetual snow, has a great potential for the study of the highly varying environment and weather proxies. Fine spatio-temporal-scale measurements of such data using sufficiently distributed auto...
This project, for the first time of its nature, introduces a new research paradigm of remote motion sensing for health monitoring of civil construction on the public safety domain in Nepal. Preliminary data from a piloting study from BRB encourages us to move forward with an aging analysis of such civil structures. Students from DoECE at IOE, Pulch...
Nepal, containing a rugged elevation ranging from less than 100 meters to over 8,848 meters and having various climate varying from tropical to alpine and perpetual snow has a great potential for the study of highly varying environment and weather proxies. Fine spatio-temporal scale measurements of such data using sufficiently distributed automatic...
One of the major challenges in searching on the internet has been that search engines and online forums have not been able to extract and pinpoint exact answer to people's query despite information being available on the internet. Extraction of to-the-point answers from articles, posts and blogs tend to improve search accuracy. Sentence Ranking hel...
One of the major challenges in searching on the internet has been that the search engines and online forums have not been able to extract and pinpoint the exact answer to people's query despite information being available on the internet. Extraction of to-the-point answers from articles, posts and blogs tend to improve the search accuracy. Sentence...
The street lighting system is based upon the electronic controller that utilizes the traffic density survey data. An android mobile app was developed for this purpose. Data was collected and analyzed at different busy junctions of Kathmandu Valley. The app maintained a database record of each vehicles type that enter in the system and simultaneousl...
Facial Landmarks Detection is a neural network-based project built using re-learning approach that uses Histogram of oriented gradients (HOG) features of images to train a deep learning neural network in order to extract the facial features from the image. This report presents the methodology and algorithms for detecting facial landmarks through th...
This project aims to design a system that takes a video as an input splitting it into frames and obtains images extracting its features and landmarks through the algorithms of machine learning thus providing a base for a number of possible systems. The main objectives of this project are: · To design a system that takes an image as an input and det...
The Refugee Crisis is unequivocally the most burning global problem that has been haunting the modern world. With the causes and factors ranging from political instability, safety threat and mass discrimination to environmental hazards or simply a search for a quality life, the number of displaced people is on an ever-increasing curve. For the most...
Shanti is a project that provides part time vocational training and opportunities to the women, specially the victims of gender-based violence, so that they can get independent and do something for living on their own. Vocational training includes sewing clothes and preparation of textiles accessories like bags, cushion covers and purses.
The goal of this work is to create an automated soccer game summarization pipeline using AI. In particular, our focus is on the generation of complete game summaries in continuous text format with length constraints, based on raw game multimedia, as well as readily available game metadata and captions where applicable, using Natural Language Processing (NLP) tools along with heuristics. We curate and extend a number of soccer datasets, implement an end-to-end pipeline for the automatic generation of text summaries, present our preliminary results from the comparative analysis of various summarization methods within this pipeline using different input modalities, and provide a discussion of open challenges in the field of automated game summarization.
- Aging Analysis of Bagmati River Bridge and Prediction - Using Machine Learning - Big Data Interfaced