Yagya Raj Pandeya, Ph.D.

Citizenship: Nepal
Permanent Address: Jhalari-7, Kanchanpur, Nepal
Mailing Address: Jeonbuk National University, Jeonju city, South Korea
Date of birth: 25th July, 1988
Phone: (+82)01044049848
yagyapandeya@gmail.com

Carrier Objectives

An enthusiastic and adaptive person with a broad and acute interest in the discovery of new innovative information technologies. I particularly enjoy collaborating with tech exports from different disciplines of computer science to develop new skills and solve new challenges.

Research Intetests

Supervised multi-Level classification and regression
Unsupervised and self-supervised learning
Meta learning and incremental learning
Visual object detection and segmentation
Sound event detection and classification

Educations

Jeonbuk National University

Major in Machine Learning and Deep Neural Networks
CGPA: 4.43/4.50
Sep. 2017 - Feb. 2021

Pokhara University

Nepal College of Information Technology, Balkumari, Lalitpur(PU Affiliated College)
Rank: Dean's List (CGPA: 3.97/4)
Aug. 2010 to May 2013

Pokhara University(PU)

National Academy of Science and Technology, Dhangadhi, Kailali(PU Affiliated College)
Rank: CGPA: 3.54/4
Aug. 2005 to Oct. 2010

National Examination Board(NEB)

Radiant Secondary School, Mahendranagar, Kanchanpur(Under NEB)(Class XII)
OVERALL PERCENTAGE: 55%
2005

National Examination Board(NEB)

Shree Radha-Krishna Secondary School, Tiltali, Doti(Under Government of Nepal)(Class X)
OVERALL PERCENTAGE: 74%
2003

WORK EXPERIENCES

Fuzzy Logic and Artificial Intelligence Laboratory at Jeonbuk National University

Machine learning and Deep learning based research
Address: Jeonju City, South Korea
Status: Researcher
27 April 2017 - Ongoing
Ministry of Home Affairs (Government of Nepal)
National Information Collection and Transfer
Address: Singhdurbar, Kathmandu, Nepal
Status: IT officer
27 April 2015 - Aug 22 2016

Head of Computer Engineering Department

Assistant Professor and Department head.
Address: Dhangadhi, Kailali, Nepal
Status: Head of Department
12 Feb 2013 - 27 April 2015

World Vision International Nepal

Database management.
Address: Dhangadhi, Kailali, Nepal
Status: IT officer (Internship)
21 Aug. 2010 - 10 Sep. 2010

Rural Village Water Resources Management Project (RVWRMP)

Database management.
Address: Dhangadhi, Kailali, Nepal
Status: IT officer (Internship)
4 Dec. 2009 - 12 Feb. 2010

PROJECTS

Sound Event Labeling Tool

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2019 - Sep. 2020
  • Article title: A Semi-automatic Sound Annotation Tool for Audio/Video data.[SCIE Journal]
  • Semi-supervised Sound Event Annotation Tool using audio and video as input.
  • Automatic event detector is used to detect the audio event.
  • Based on the automatic detector result, an human annotation have to refine the annotation boundary.
  • Easy to use, better audio visualization, python based and output in easy CSV data file.
  • Diversified annotation tool for any rare sound event.
  • Under review.

Music Source Seperation

Jeonbuk National University | Advisors: Joonhwan Lee
June 2020 - Nov. 2020
  • Article title:Parallel Stacked Hourglass Network for Music Source Separation.[SCIE Journal]
  • Prepared Korean traditional song (Pansori) dataset with 3 sources.
  • Korean traditional music Pansori dataset, MIR-1K dataset, and DSD100 dataset used in experiment.
  • Proposed a novel parallel stacked hourglass network (PSHN) with multiple band spectrograms.
  • Ablation study on proposed and past architecture.
  • State-of-art result.
  • Puplished on IEEE Access in Nov. 2020

CNN Based Sound Event Detection in Cowshed

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2019 - Sep. 2020

Cow Sound Event Localization and Classification

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2019 - Sep. 2020
  • Article title:Visual Object Detector for Cow Sound Event Detection[SCIE Journal]
  • Cow sound event detection dataset with 4 class categories.
  • CNN used for sound event detection using Cow sound dataset and UrbanSound8K dataset.
  • Visual object detection architecture (F-RCNN, CF-RCNN, FPN, C-FPC) used for audio event detection (in Log Mel-Spectrogram).
  • Compare the proposed CNN and Visual object detection architecture using three test dataset.
  • Puplished on IEEE Access in Sep. 2020

Music-Video Emotion Classification

Jeonbuk National University | Advisors: Joonhwan Lee
Jan. 2019 - Sep. 2019

Music Video Emotion Analysis

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2018 - March 2019

Domestic Cat Sound Classification

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2017 - Sep. 2018

Domestic Cat Sound Classification using Transfer Learning

Jeonbuk National University | Advisors: Joonhwan Lee
Dec. 2017 - March 2018

Achievements

Language Skills

  • English Language
  • Korean Language
  • Hindi
  • Nepali
  • Good
  • Moderate (1 year course)(TOPIK-3)
  • Very good
  • Excellent

Techincal Skills

  • Programming Languages
  • Deep learning Framework
  • Platforms
  • Networking
  • I.D.E Skills
  • Python, C, C++, PHP
  • TensorFlow, Keras, PyTorch
  • Linux, Windows, CUDA/Docker
  • CCNA
  • Eclipse, Spider, UML, PyCharm

References

Prof. Joonwhoan Lee

Ph.D. Adviser
Institude: Jeonbuk National University
Ph No.: +82-63-270-2406, +82-010-9855-2406
Email: chlee@chonbuk.ac.kr

Prof. Shashidhar Ram Joshi

Master Adviser
Institude: Pokhara University
Ph No.: +977-01-5534070
Email: srjoshi@ioe.edu.np

Mr. SS Mudvari

NAST Engineering College Principal
Institude: National Academy of Science & Technology
Ph No.: +977-91-523312,521312
Email varify at: nastdhn@gmail.com, nastdhn@yahoo.com