Journal Publications:

[1] C. Elkin, B. Marinier, A. Javaid, D. Kaur, V. Devabhaktuni, and J. Zaientz, "Computational Approaches for Optimal Manned and Unmanned Flight Safety: A Survey,” Information Sciences (Under preparation)

[2] C. Elkin, B. Marinier, A. Javaid, D. Kaur, V. Devabhaktuni, and J. Zaientz, "Prediction of unmanned aerial vehicle behavior through a combination of Dempster-Shafer and artificial neural network sensor fusion,” Expert Systems with Applications (Under revision)

[3] C. Elkin, R. Kumarasiri, D. Rawat, and V. Devabhaktuni, "Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach", In Ad Hoc Networks, Vol. 54, pp. 30-41, 2016 [link]

[4] T. J. S. Chowdhury, C. Elkin, V. Devabhaktuni, D. B. Rawat, and J. Olouch, "Advances on localization techniques for wireless sensor networks: A survey", In Computer Networks, Vol. 10, pp. 284-305, 2016 [link]

Conference Publications:

[5] S. Nittala, C. Elkin, J. Kiker, R. Meyer, J. Curro, K. Xu, V. Devabhaktuni, and A. Reiter, “Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy,” Proc. 17th IEEE Int. Conf. Machine Learning Applications (ICMLA), Orlando, FL, USA, Dec. 2018, pp. 1166-1173 [link]

[6] C. Elkin and V. Devabhaktuni, "Analysis of Alternatives for Neural Network Training Techniques in Assessing Cognitive Workload," 9th Intl. Conf. on Applied Human Factors and Ergonomics (AHFE 2018), Orlando, FL, USA, Jul. 2018, pp. 27-37 [link]

[7] C. Elkin, S. Nittala, and V. Devabhaktuni, “Fundamental Cognitive Workload Assessment: A Machine Learning Comparative Approach,” 8th Intl. Conf. on Applied Human Factors and Ergonomics (AHFE 2017). Los Angeles, CA, USA, Jul. 2017, pp. 275-284 [link]

[8] B. Keneni, B. Austin, C. Elkin, and V. Devabhaktuni, “Educational prototype demonstrating frequency spectrum sharing through channel borrowing and priority assignment,” 2017 IEEE Intl. Conf. on Electro Information Technology (EIT), Lincoln, NE, USA, May 2017, pp. 540-544 [link]

Poster Publications:

[9] C. Elkin, V. Devabhaktuni, and G. Funke, “Assessment of Team Dynamics Using Adaptive Modeling of Biometric Data,” 2018 AFRL/DAGSI Poster Session, Kettering, OH, USA, Nov. 2018

[10] C. Elkin and V. Devabhaktuni, "Verification of Physiological Data Collection", 2016 Safe and Secure Systems and Software Symposium (S5), 2016 [link]


[11] C. Elkin, "Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety," Ph.D. Dissertation, 2018


[12] C. Elkin,"Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory," M.S. Thesis, 2015 [link]