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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
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Blog Post number 3
Published:
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Blog Post number 2
Published:
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
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
research
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.
talks
teaching
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