Posts by Collection

Transfer learning for radioactive particle tracking

Published in Chemical Engineering Science, 2022

keywords: transfer learning, domain adaptation, meta-learning, few-shot learning

An ablation study on the use of publication venue quality to rank computer science departments: Publication quality is strongly correlated with the subjective perception of research strength

Published in Scientometrics, 2023

keywords: ranking of doctoral programs, ranking of computer science departments, peer assessment, clustering, ablation study

Beyond Communication: Telecom Fiber Networks for Rain Detection and Classification

Published in 28th International Conference on Optical Fiber Sensors, 2023

keywords: Fiber networks; Fiber optic communications; Fiber optic sensors; Neural networks; Optical fibers; Optical networks

Fiber Optic Sensing in Rain Detection Using Unsupervised Domain Adaptation

Published in Galileo conference: Fibre Optic Sensing in Geosciences, 2024

keywords: Fiber networks; Fiber optic communications; Fiber optic sensors; Neural networks; Optical fibers; Optical networks

Resource-efficient radioactive particle tracking using transfer learning and feature selection

Keywords: tranfer learning, few-show learning, zero-shot learning, meta learning, feature selection.

Ranking system of computer science departments

Keywords: ranking, subjectivity, correlation, computer science.

Wireless device fingerprinting using domain adaptation

Keywords: maximum mean discrepancy, wireless network, domain shift, transfer learning.

Efficient AI in remote sensing application

Keywords: model compression, pruning, knowledge distillation, land cover classification.

Introduction to Problem solving and Programming in Python

Teaching Assistant, Temple University, Department of Computer and Information Science, 2019

Hold lab sections every week and mentored students using Python for problem solving.
course link

Principles of Data Science

Teaching Assistant, Temple University, Department of Computer and Information Science, 2020

Hold lab sections every week and mentored student in multiple data science projects.
course link

Data Structures and Algorithm

Teaching Assistant, Temple University, Department of Computer and Information Science, 2020

Mentored students in understanding concepts of data structures (array, linked list, tree, graph, etc.) and algorithms (sorting, binary search, etc.)
course link

Foundations of Machine Learning

Teaching Assistant, Temple University, Department of Computer and Information Science, 2020

Mentored students in understanding fundamental concepts of Machine Learning and guided them to implement the algorithms in Python.
course link