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Md Alimoor Reza

Computer Vision Robotics Machine Learning Applications Of Computer Vision In Medical Diagnosis Computational Methods In Cognitive Science
Drake University Computer Science

About

Professor Reza received his Ph.D. from George Mason University under the supervision of Professor Jana Kosecka. His main research interests are computer vision, robotics, and machine learning. Besides solving challenging core problems in these areas, Professor Reza is also passionate about applying techniques from these areas for solving collaborative research problems in cognitive science, biology, chemistry, medical diagnosis, engineering, and a range of other disciplines. Professor Reza teaches Introduction to Computer Science and Computer Vision.

Research Performance Summary

45
Total Papers
569
Total Citations
11
H-Index
2007-2025
Active Research Span

First Recorded Paper

Problem Statement

Year: 2007

Citations: 68

Venue: N/A

Latest Recorded Paper

Learning method and device for estimating depth information of image

Year: 2025

Citations: 0

Venue: US Patent App. 18/806

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
6
2024
8
2023
3
2022
1
2021
5
2020
6
2019
2
2018
2
2017
1
2016
3
2015
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 20
Journal 1
Book 2

Top Coauthors

Reza Crandall Jung

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 10
Avg. Citations / Paper 1.7
H-Index 2

2020-2024

Period Stats
Papers 23
Citations 289
Avg. Citations / Paper 12.6
H-Index 8

2015-2019

Period Stats
Papers 10
Citations 165
Avg. Citations / Paper 16.5
H-Index 6

2010-2014

Period Stats
Papers 5
Citations 37
Avg. Citations / Paper 7.4
H-Index 3

2005-2009

Period Stats
Papers 1
Citations 68
Avg. Citations / Paper 68
H-Index 1

Contact and Professional Links

Contact Information

md.reza@drake.edu

Detected Research Keywords

Segmentation Indoor Scenes Semantic Segmentation Indoor Verification Microelectronic Images Blind Vision Individuals Vision Individuals Navigation Estimating Depth Information