I am a senior year student in the Computer Science and Engineering Department at Indian Institute of Information Technology Senapati, Manipur
Paper is under revision at Sadhana Journal, Springer, India Academy of Science.
Presented the Paper in 3rd International Conference on Contemporary Computing and Informatics (Gurgaon, India), 2018 - IEEE Delhi Section
Presented the Paper in 3rd International Conference on Contemporary Computing and Informatics (Gurgaon, India), 2018 - IEEE Delhi Section
I am a final year student in the Computer Science and Engineering Department at IIIT Senapati, Manipur
Invited as a Speaker for Open Source Contribution made to the FOSSASIA.
In Summer 2019, I was privileged and happy to be selected among the top 30 students out of 1728 students from 121 countries for Vienna BioCenter Fellowship (with approx 1% selection rate) to do a research internship under Prof. Arndt von Haeseler at CIBIV, Max Perutz Lab, VBC.
Activities and Societies: Lectures, Paintings, Dragon boat racing, Hiking, organised Social Hour
Attended various seminar, lectures, events on trending research topics and attended a poster symposium during the summer school programme
Class of 2019
I completed my Senior Secondary Schooling from this college in Physics, Chemistry, Mathematics, English and Hindi. In the Senior Secondary Examinations I stood among the top 3 score in the district with 76%
I completed my high school in Science, Mathematics, Social Science, English and Sanskrit. I was the highest scorer in the school with CGPA of 10.0 out of 10.0
Worked as a research intern in the field of Bioinformatics at Center for Integrative Bioinformatics Vienna (CIBIV), Max Perutz Lab, University of Vienna in the lab of Prof. Arndt von Haeseler’s research group. Selected as Summer School student at Vienna Bio Center.
A regular & active contributer at FOSSASIA via Github and Gitlab. Contributed in various FOSSASIA projects such as Open-event frontend, SUSI.AI, phimpme-android, openevent-android,loklak,etc and attended events of FOSSASIA & Open-source community at several places.
Worked as a Summer Research Intern in the Natural Language Processing lab, Department of Computer Science, Indian Institute of Technology BHU. Designed and built the Parallel Corpus from Comparable Corpus for Machine Translation.
Worked as a Project Assistant under Dr. Navanath Saharia , Assistant Professor , IIIT Senapati in the field of Machine Learning. Working on Clustering and Topic Modelling on data related to disaster. Published research paper while working as a research student. Later, from January 2018, I started working with Dr. N. Kishorjit Singh, Assistant Professor (HOD), Department of Computer Science and Engineering, IIIT Senapati, Manipur. We started working
I was a Student Advocate (from December to February, 2018) for IMAD , Hasura. IMAD is an online course conducted by IIT Madras and Hasura in partnership with NPTEL (National Programme on Technology Enhanced Learning). I was responsible for interacting with both professors and students, actively promoted the course on social media and spread awareness about the course. With their help and significant contribution, IMAD became the largest MOOC in India with 250,000+ registrations. This contribution to the Hasura helped in its proper growth and development. Through this project I created a powerful impact of IMAD in IIIT Manipur itself which further helped other neighboring colleges in Manipur.
I was responsible for promoting Internshala and its products and was able to complete it successfully and showed genuine sincerity and willingness to learn while taking on new assignments and challenges.
Considered various parameters based road traffic accidents dataset for the analysis and prediction purpose. The dataset is throughly visualized to find the reasons behind an accident. Various deep learning architectures are used to obtain the desired result.
During this project I worked in the field of Bioinformatics at Center for Integrative Bioinformatics Vienna (CIBIV), Max Perutz Lab, University of Vienna. + Implemented various deep learning architectures such as CNN (its variants), Bi-LSTM, Bi-GRU, Transformer Model nad used CUDA architecture to estimate the closest taxon pairs in multiple sequence alignment. + During this project, I focused on implementing a hybrid architecture of 2 Convolutional layers with a Bi-LSTM and a Bi-GRU architectures.
Used various risk factors which are responsible for heart diseases such as age, sex, height, weight, heart rate, diabetic level, cholestrol level, etc used in predicting the CHD. The dataset for the project is taken from the UCI Machine Learning Repository https://archive.ics.uci.edu/ml/machine-learning-databases/arrhythmia/ . The System is trained on the dataset by applying classifiers such as Logistic regression, SVM, random forest, XGBoost etc. to predict other types of CHD (such as Tachycardia, Bradycardia and Coronary artery diseases using ECG signals) to make it more efficient. Later, the model was further improved by implementing deep learning architectures such as CNN, LSTM, Bi-LSTM and GRU.
Worked on Identifying relevent words from Tweets to help People during disasters (flood). Implemented Topic Modelling to analyse the use of the system & Used K-Means, LDA. Implemented this project in order to help NGOs, Government agencies to help People in kerala during this destructive flood situation. Later, the system was further improved by implementing for indigenous people as now this tool extracts tweets based on various regional languages and it translates local languages(tweets) into English to be used by Government officials. Further a web tool is designed for proper visualisation of hashtags and information gathered from tweets during disaster.
The aim of the project was to use Machine Learning algorithms for finding the solutions the problem. To make a Parallel Corpus from a Comparable Corpus obtained from wikipedia dumps for HungarianEnglish Language. Used Support Vector Machine, Logistic Regression and Random Forest Classifier on the training and testing data to achieve an accurate machine learning model.
The project is based on detecting the hate speech containing Tweets. Used a pre-labelled data for training and testing the model. Machine Learning algorithms were used (SVM, Logistic Regression, random forest, decision tree, etc) to obtain an accurate system. Working on improving this system further by applying various deep learning approaches
Become 2nd student from any Indian University to get selected as a Summer School student at Vienna Bio-Center with fellowship.
Won First (1 st) runner up prize in UNESCO Hackathon held at LifeLong Learning Institute ,Singapore themed on supporting Indigenous Languages
Winner at FOSSASIA (OpenTechNight) Competition, a reward for open-source contribution and invited for FOSSASIA Open Tech Summit 2019 at Singapore
Selected as Delegate for Harvard Project for Asian & International Relation in Technology & Innovation track for the two consecutive events at Kuala Lumpur & invited for a talk at Harvard University (Boston, M.A.)
Published and presented two research papers in the IEEE digital library in 3rd International Conference on Contemporary Computing and Informatics (Gurgaon, India), 2018 - IEEE Delhi Section
Received 3 Summer Internship Offers from IITs (in 2018 ) to Work in the field of Machine Learning
Received Certificate of Excellence in C, C++, Linux, Java & LATEX organised by IIT Bombay
These courses were undertaken as a part of academic courses during Bachelor's degree
As a Computer Science Undergraduate with experience in Computer Programming (coding) and familier with wide range of IT Applications & Softwares and has a keen interest in Machine Learning and Artificial Intelligence. As an initiator and task oriented team worker seeking for a position in a good and recognised Organisation to develop and enhance my skills
IIIT Senapati, Mantripukhri, Imphal West, Manipur, India - (795002)