Ravi Ramachandran

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Emailravirowanedu

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Education/Academic qualification

Bachelor of Science, Bachelor, Concordia University

Master of Science, Master, McGill University

Doctor of Philosophy, doctorate, McGill University

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Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum
Ramachandran, R. (PI)
National Science Foundation
10/1/11 → 9/30/15
Project: Other project

52 Conference article
50 Article
47 Conference contribution
9 Paper
More

Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course
Trafford, R., Chakraborty, D. & Ramachandran, R., 2024, ISCAS 2024 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE International Symposium on Circuits and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Efficient Scaling of Bayesian Neural Networks
Epifano, J. R., Duong, T., Ramachandran, R. P. & Rasool, G., 2024, In: IEEE Access. 12, p. 150953-150961 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Multimodal data integration for oncology in the era of deep neural networks: a review
Waqas, A., Tripathi, A., Ramachandran, R. P., Stewart, P. A. & Rasool, G., 2024, In: Frontiers in Artificial Intelligence. 7, 1408843.
Research output: Contribution to journal › Review article › peer-review

Open Access
10 Scopus citations
A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU
Epifano, J. R., Silvestri, A., Yu, A., Ramachandran, R. P., Tripathi, A. & Rasool, G., 2023, ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2023-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
Nielsen, I. E., Ramachandran, R. P., Bouaynaya, N., Fathallah-Shaykh, H. M. & Rasool, G., 2023, In: IEEE Access. 11, p. 82556-82569 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations

Ravi Ramachandran

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

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Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum

Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course

Efficient Scaling of Bayesian Neural Networks

Multimodal data integration for oncology in the era of deep neural networks: a review

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models

Ravi Ramachandran

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Projects

Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum

Research output

Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course

Efficient Scaling of Bayesian Neural Networks

Multimodal data integration for oncology in the era of deep neural networks: a review

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models