Ayesha Akter Lata, PhD

Dr. Ayesha Akter Lata is an Assistant Professor in the Department of Computer Science and Engineering at the University of Liberal Arts Bangladesh. She completed her PhD in Wireless Sensor Networking from Chosun University, Republic of Korea, where her research focused on energy-efficient opportunistic routing protocols for non-uniform density wireless sensor networks.

Her research interests include wireless sensor networks, opportunistic routing, MAC protocols, reinforcement learning-based routing, image security, image processing, brain MRI analysis, and computer networks. During her doctoral research, she worked on routing and MAC protocols in wireless sensor networks and developed research contributions related to energy efficiency and density-aware routing mechanisms.

Before joining academia, Dr. Lata gained professional experience as a Software Engineer in Bangladesh, where she worked on programming, designing, and testing software systems. She also has research experience in digital media computing, 3D image processing, image encryption, and medical image analysis. Her scholarly works have been published in international journals and conferences, including MDPI Electronics, Sensors, Multimedia Tools and Applications, ICUFN, ICNGC, and other international venues.

PhD in Wireless Sensor Networking
Chosun University, Republic of Korea, February 2026
Thesis: Energy Efficient Opportunistic Routing Protocols for Non-uniform Density of Wireless Sensor Networks

M.E. in Computer Engineering
Chosun University, Republic of Korea, February 2017
Thesis: Double Random Phase Encoding Method with a Poisson-Multinomial Distribution

B.Sc. Engineering in Computer Science and Engineering
Shahjalal University of Science & Technology, Bangladesh, November 2011

Wireless Sensor Networks, Opportunistic Routing, MAC Protocols, Reinforcement Learning, Computer Networks, Image Processing, Medical Image Analysis, 2D and 3D Image Encryption.

1. Masters Scholarship: Foreign student scholarship for the Graduate Program in South Korea;
2. PhD Scholarship: Foreign student scholarship for the Doctoral Program in South Korea;

1. A. A. Lata and M. Kang, “RLFS-OR: Reinforcement Learning-based Forwarder Selection for Opportunistic Routing in Wireless Sensor Networks,” Electronics (MDPI), Vol. 15, No. 9, 2026.
   DOI: https://doi.org/10.3390/electronics15050910
2. A. A. Lata, M. Kang and S. Shin, “FCM-OR: A Local Density-Aware Opportunistic Routing Protocol for Energy-Efficient Wireless Sensor Network,” Electronics (MDPI), 14, 1841, 2025.
   DOI: https://doi.org/10.3390/electronics14091841
3. A. A. Lata and M. Kang, “A survey on the evolution of opportunistic routing with asynchronous duty-cycled MAC in wireless sensor networks,” Sensors, Vol. 20, No. 15, pp. 1–20, 2020.
   DOI: https://doi.org/10.3390/s20154112
4. A. A. Lata, I. Moon, and G. R. Kwon, “Double random phase encoding with a Poisson-multinomial distribution for efficient colorful image authentication,” Multimedia Tools and Applications, Vol. 78, pp. 14613–14632, 2018.
   DOI: 10.1007/s11042-018-6844-1
5. Ayesha Akter Lata, Inkyu Moon, and Goo-Rak Kwon, “New Routing Protocols for Reliable Vehicular Wireless Networks Survey,” The Journal of Korean Institute of Next Generation Computing, Vol. 14, No. 1, pp. 27–39, 2018.

1. “A Review of Duty-Cycled MAC Protocols Simulation in Castalia,” 2019 The 5th International Conference on Next Generation Computing, ICNGC.
2. “A Review on Broadcasting Protocols for Duty-Cycled Wireless Sensor Networks,” 2019 Eleventh International Conference on Ubiquitous and Future Networks, ICUFN.
3. “Integration of Contourlet Transform and Canny Edge Detector for Brain Image Segmentation,” 2018 Tenth International Conference on Ubiquitous and Future Networks, ICUFN.
4. “MRI Brain Image Enhancement using Contourlet Transform Algorithm along with an Enhancement Function,” 2018 Alzheimer’s Association International Conference.
5. “MRI Brain Image Segmentation using PSO in Dual-Tree Complex Wavelet Domain and Modified FCM Clustering,” 2019 The 31st Workshop on Image Processing and Image Understanding.
6. “Brain Image Reconstruction using 2D Discrete Wavelet Transform and Contourlet Transform,” 2018 The 30th Workshop on Image Processing and Image Understanding.