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Akshay Rangamani
Deep Learning
Machine Learning
Data Science
About
Akshay Rangamani, Ph.D. is an Assistant Professor of Data Science in the Department of Computer Science at the New Jersey Institute of Technology (NJIT). He earned his Ph.D. in Electrical and Computer Engineering from Johns Hopkins University in 2019 and his B.Tech. in Electrical Engineering from the Indian Institute of Technology in 2013. Dr. Rangamani teaches courses such as Deep Learning, and his work spans machine learning, deep learning, and data science.
Research Performance Summary
2015-2025
Active Research Span
First Recorded Paper
Targeted Dot Product Representation for friend recommendation in online social networks
Year:
2015
Citations:
1
Venue:
Proceedings of the 2015 IEEE/ACM International Conference on Advances in
Latest Recorded Paper
DS 677-004: Deep Learning
Year:
2025
Citations:
0
Venue:
N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Rangamani
Tran
Research Impact by Period
Papers
3
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
15
Citations
304
Avg. Citations / Paper
20.3
H-Index
8
Papers
15
Citations
484
Avg. Citations / Paper
32.3
H-Index
7
Contact and Professional Links
Detected Research Keywords
Target Tracking Classification
Pixel Wise Code
Coded Aperture Cameras
Sparse Coding Autoencoders
Tracking Classification Compressive
Local Field Potentials
Field Potentials Recurrent
Potentials Recurrent Neural
Recurrent Neural Networks
Interpolating Kernel Machines