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About

Greetings! I am Dr. Charan Gudla, an Assistant Professor specializing in Cybersecurity, Networking, and Machine Learning. With a fervent dedication to advancing knowledge and addressing critical challenges in these fields, I am excited to share insights into my academic and research journey.

Education:

Doctor of Philosophy (Ph.D.) in Computer Science from The University of Southern Mississippi, with a dissertation titled “Moving Target Defense Application and Analysis in SDN,” under the guidance of Dr. Andrew H. Sung.
Master of Science (M.S.) in Computer Science from The University of Southern Mississippi, with a focus on “A Hybrid Cloud Approach for Secure Authorized Deduplication,” under the mentorship of Dr. Dia Ali.
Bachelor of Science (B.S.) in Aeronautical Engineering from Jawaharlal Nehru Technological University Hyderabad, India, culminating in a Major Project on “Efficient Fuel Injector Design in Aircrafts.”

Work Experience:

Assistant Clinical Professor in Computer Science and Engineering at Mississippi State University since August 2022.
Assistant Teaching Professor at Computing Sciences and Computer Engineering, University of Southern Mississippi, from August 2021 to July 2022.
Visiting Instructor at Computing Sciences and Computer Engineering, University of Southern Mississippi, from August 2019 to July 2021.

Research Expertise:

My research endeavors encompass a wide array of topics at the intersection of cybersecurity, networking, and machine learning. Notable contributions include:

Pioneering Moving Target Defense (MTD) techniques to mitigate cyber-attacks, particularly in Software Defined Networking (SDN) environments.
Developing real-time Deepfake detection and prevention models leveraging Blockchain and Steganalysis technologies.
Advancing machine learning models for accurate travel time prediction in traffic management systems.

Publications:

R Dilworth, C Gudla, MS Rana, A Disambiguation of Security-based Software Testing. 2024 IEEE 7th International Conference on Information and Computer Technologies, March 15-17, 2024, Honolulu, Hawaii, United States. (Pending Publication)

Rana, M. S., Gudla, C., Ahmed, F. and Nurnobi, M. (2024). Advancing Cold Region Engineering through Machine Learning for Robust Infrastructure Resilience Based on Historical Weather Data Analysis. 20th International Conference on Cold Regions Engineering, May 13 – 16, 2024, Anchorage, AK, United States. (Pending Publication)

V. V. Nampalli, C. Gudla and M. S. Rana, “Predicting Travel Time in Complex Road Structures using Deep Learning,” 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2024, pp. 0674-0681, doi: 10.1109/CCWC60891.2024.10427657.

M. S. Rana, M. Solaiman, C. Gudla and M. F. Sohan, “Deepfakes – Reality Under Threat?,” 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2024, pp. 0721-0727, doi: 10.1109/CCWC60891.2024.10427659.

Gudla, C., Sung, A.H. (2023). Host IP Obfuscation and Performance Analysis. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-031-35308-6_21

Gudla, C. and Sung, A.H., 2020, December. Moving Target Defense Discrete Host Address Mutation and Analysis in SDN. In 2020 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 55-61). IEEE.

Gudla, C. and Sung, A.H., 2020, November. Moving Target Defense Application and Analysis in Software-Defined Networking. In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0641-0646). IEEE.

Rana, M.S., Gudla, C. and Sung, A.H., 2019, July. Evaluating machine learning models on the Ethereum blockchain for Android malware detection. In Intelligent Computing-Proceedings of the Computing Conference (pp. 446-461). Springer, Cham.

Gudla, C., Rana, M.S. and Sung, A.H., 2018. Defense techniques against cyber attacks on unmanned aerial vehicles. In Proceedings of the International Conference on Embedded Systems, Cyber-physical Systems, and Applications (ESCS) (pp. 110-116). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).

Rana, M.S., Gudla, C. and Sung, A.H., 2018, December. Evaluating machine learning models for Android malware detection: A comparison study. In Proceedings of the 2018 VII International Conference on Network, Communication and Computing (pp. 17-21).
Rana, M.S., Gudla, C. and Sung, A.H., 2018. Android malware detection using stacked generalization. In Proc. 27th Int. Conf. Software Engineering and Data Engineering (SEDE 2018) (pp. 15-19).