PhD Fellow, Bioinformatics, Enterprise Software Developer/Architect
Hire MeDownload CVPrem Singh Bist is a dedicated researcher and Ph.D. fellow at Jeonbuk National University in South Korea. His work centers on the intersection of artificial intelligence and bioinformatics, particularly focusing on SARS-CoV-2 escape sequences. Through his research, efforts are made to predict, analyze, and discover potential drugs that could aid in the development of effective vaccines and the prevention of future pandemics.
With over a decade of experience in software development and management, he has contributed his expertise to esteemed organizations, including Itriangle Infotech Pvt Ltd, Faststream Technology Pvt, and Impetus Infotech Pvt Ltd. His contributions to the scientific community are reflected in several publications, including work on Music Onset Detection using Convolutional Neural Networks. Connect with me
Bringing a unique blend of software development and bioinformatics expertise, Prem Singh Bist is committed to advancing the field of research. Currently, he serves as a consultant and executive board member at Guru Technology Pvt Ltd.
April 2011 - April 2012
Involved in Design & Development of online purchase & sales tracking System, & Personal tracking System developed using Android devices for obtaining location and google maps for front-end monitoring.
Tools worked on: Php, Mysql, Perl, JavaScript, Android, Html, CSS
May 2012 – May 2013
Involved in Design & Development of content management system for educational project & Health care management.
Tools worked on: Php, Mysql, JavaScript, Html, CSS, CMS frameworks – Joomla, wordpress, Drupal
June 2013- Dec 2016
Involved in research & development of various ongoing Big data oriented research stacks. Tools Worked on: Java/J2EE, Hadoop, Spark, Storm, Elastic Search, Amazon AWS Cloud
Tools Worked on: Java/J2EE, Hadoop, Spark, Storm, Elastic Search, Amazon AWS Cloud
Jan 2017 - June 2018
Monitor, Guide, and Lead Software Development of Learning Management System
July 2018 - August 2021
Management of team & procedures, Developed solution for Municipal Government for Digital Profile Analytical System
Aug 2021 - Present
Jeonbuk National University, South Korea
Currently, I am a Bioinformatics Ph.D. fellow at department of Electronics & Information Engineering in Jeonbuk National University in South Korea, specializing in applying artificial intelligence to Bioinformatics, with a focus on SARS-CoV-2 escape sequences. My research aims to predict, analyze, and discover drugs related to these sequences, contributing to the development of effective vaccines and pandemic prevention.
2013 - 2015
Dr. APJ Abdul Kalam University, India
The thesis focuses on developing a real-time distributed fleet monitoring system that leverages big data technology to address the challenges of efficient and accurate tracking of vehicle fleets. By utilizing a distributed architecture, incorporating technologies such as GPS, wireless communication, and advanced data analysis algorithms, the system enables real-time tracking of vehicle locations, comprehensive monitoring of maintenance needs, remote diagnostics, and optimized route planning. Through the integration of big data technology, the system aims to enhance fleet management by improving operational efficiency, reducing fuel consumption, and ensuring timely maintenance. The thesis delves into the design, implementation, and evaluation of the system, specifically addressing challenges related to scalability, data synchronization, and real-time processing of large volumes of data. By harnessing the power of big data, the thesis contributes to the field of fleet management by providing a cutting-edge solution that optimizes fleet operations and decision-making processes.
2006 - 2010
The final year project focused on the development of a remote computer-based door authentication system that utilizes an embedded system, a keypad-based input mechanism, and the computer's serial port. This system aims to provide secure access control by allowing users to enter a predefined code on the keypad, which is transmitted through the serial port to the computer for authentication. If the code matches an entry in the authorized user database, the computer sends a signal to unlock the door. The integration of the embedded system and the computer's serial port offers a compact, efficient, and cost-effective solution for remote door authentication, enhancing security and convenience.
Professor / JBNU
Professor Kil To Chong is a dedicated researcher working on the development of artificial intelligence-based source technology to tackle brain diseases. He recognizes the significance of artificial intelligence as a crucial component of the fourth industrial revolution. By merging the fields of artificial intelligence and brain science, Professor Chong is making noteworthy academic contributions aimed at enhancing human well-being. His research primarily focuses on identifying the genes and biological mechanisms responsible for Alzheimer's disease, which remain inadequately understood. Furthermore, he is actively engaged in leveraging research findings to develop novel drugs. Additionally, Professor Chong is currently involved in artificial intelligence-driven studies related to cancer-causing genes.
Asst. Professor / JBNU
Assistant Prof. Hilal Tayara possess strong skills in computer science and bioinformatics research.
Kathmandu University
Dr. Yagya Raj Pandeya currently holds the position of Assistant Professor at the Department of Computer Science and Engineering at Kathmandu University, located in Dhulikhel. Kathmandu University (https://ku.edu.np/) is the academic institution where he is affiliated and contributes to the field of computer science and engineering through his role as an Assistant Professor.
Address
Jeonju, Jeollabuk-do, South Korea
prem62900@gmail.com