Advances on localization techniques for wireless sensor networks: A survey. - Tashnim J. S. Chowdhury; Colin Elkin; Vijay Kumar Devabhaktuni; Danda B. Rawat; Jared Oluoch (Comput. Networks, 2016)

Fundamental Cognitive Workload Assessment: A Machine Learning Comparative Approach. - Colin Elkin; Sai K. R. Nittala; Vijay K. Devabhaktuni (AHFE (2), 2017)

Educational prototype demonstrating frequency spectrum sharing through channel borrowing and priority assignment. - Blen Keneni; Branden Austin; Colin Elkin; Vijay Kumar Devabhaktuni (EIT, 2017)

Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach. - Colin Elkin; Rajika Kumarasiri; Danda B. Rawat; Vijay Kumar Devabhaktuni (Ad Hoc Networks, 2017)

Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. - Sai K. R. Nittala; Colin P. Elkin; Jay M. Kiker; Robert Meyer; James Curro; Ali K. Reiter; Kevin S. Xu 001; Vijay K. Devabhaktuni (ICMLA, 2018)

Comparative Analysis of Machine Learning Techniques in Assessing Cognitive Workload. - Colin Elkin; Vijay Kumar Devabhaktuni (AHFE (2), 2019)

U-Net and its variants for medical image segmentation: theory and applications. - Nahian Siddique; Paheding Sidike; Colin Elkin; Vijay Kumar Devabhaktuni (CoRR, 2020)

Trends in Deep Learning for Medical Hyperspectral Image Analysis. - Uzair Khan; Paheding Sidike; Colin P. Elkin; Vijaya Kumar Devabhaktuni (IEEE Access, 2021)

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. - Nahian Siddique; Paheding Sidike; Colin P. Elkin; Vijay Kumar Devabhaktuni (IEEE Access, 2021)