Dr. Poreddy Ajay Kumar Reddy
B.E., M.E., Ph.D.
Assistant Professor
Department Of Computer Science and Engineering
Dr. Poreddy Ajay Kumar Reddy is an Assistant Professor in the Department of Computer Science and Engineering. He received his Ph.D. in Electronics and Communication Engineering from Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Kancheepuram. He holds an M.Tech in Systems and Signal Processing from Jawaharlal Nehru Technological University Kakinada (August 2018 – August 2020) and a B.Tech in Electronics and Communication Engineering from Shanmugha Arts, Science, Technology & Research Academy (SASTRA University) (June 2014 – May 2018).
His research interests span multimedia quality assessment, statistical signal analysis, machine learning, and deep learning. He is actively involved with the Multimedia Engineering and Perceptual Cognitive Analysis Group (MEPCAG) at Indian Institute of Technology Indore and the Advanced Signal and Image Processing Lab at IIITDM Kancheepuram.
Ajay Kumar Reddy Poreddy, Peter A. Kara, Roopak R. Tamboli, Aniko Simon, and Balasubramanyam Appina. “CoDIQE3D: A completely blind, no-reference stereoscopic image quality estimator using joint color and depth statistics.” The Visual Computer, Vol. 39(12), 2023: 6743–6753.
DOI: 10.1007/s00371-022-02760-3Ajay Kumar Reddy Poreddy, Raja Bharath Chandra Ganeswaram, Balasubramanyam Appina, Priyanka Kokil, and Ram Bilas Pachori. “No-reference virtual reality image quality evaluator using global and local natural scene statistics.” IEEE Transactions on Instrumentation and Measurement, Vol. 72(1), 2023: 1–16.
DOI: 10.1109/TIM.2023.3322995Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “FFVRIQE: A feature fused omnidirectional virtual reality image quality estimator.” IEEE Transactions on Instrumentation and Measurement, Vol. 73, 2024: 1–11.
DOI: 10.1109/TIM.2024.3400304Ajay Kumar Reddy Poreddy, Bhargav Varma Atmakuru, Thunakala Bala Krishna, Priyanka Kokil, and Balasubramanyam Appina. “Enhancing laparoscopic video quality assessment: A model addressing sensor and channel distortions.” IEEE Sensors Letters, Vol. 8(3), 2024: 1–4.
DOI: 10.1109/LSENS.2024.3366564Ajay Kumar Reddy Poreddy, Sunkanaboina Chandra Lingamaiah, Thunakala Bala Krishna, and Priyanka Kokil. “Focal liver lesion classification based on statistical variations of discrete Haar wavelet transform and singular value decomposition.” IEEE Sensors Letters, Vol. 8(8), 2024: 1–4.
DOI: 10.1109/LSENS.2024.3419145Pankaj Kumar Raghuwanshi, Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “An ‘opinion unaware’ 3D image quality evaluator using correlation features of scene components.” IEEE Transactions on Instrumentation and Measurement, Vol. 74, 2025: 1–11.
DOI: 10.1109/TIM.2025.3542137Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “Enhancing surgical laparoscopic video quality assessment with integrated feature fusion accounting for sensor and transmission distortions.” IEEE Sensors Letters (Accepted for publication).
Ajay Kumar Reddy Poreddy and Balasubramanyam Appina. “BVRIQE: A completely blind no-reference virtual reality image quality evaluator.” IEEE International Conference on Signal Processing and Communications (SPCOM), 2022: 1–5.
DOI: 10.1109/SPCOM55316.2022.9840855Ajay Kumar Reddy Poreddy, Peter A. Kara, Balasubramanyam Appina, and Aniko Simon. “A no-reference 3D virtual reality image quality assessment algorithm based on saliency statistics.” Proc. SPIE 11841, Optics and Photonics for Information Processing XV, 118410R, August 1, 2021.
DOI: 10.1117/12.2597327Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Gnapika Sindhu Kolla, and Priyanka Kokil. “Automated maternal fetal ultrasound image identification using a hybrid vision transformer model.” International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science, Vol. 15311.
DOI: 10.1007/978-3-031-78195-7_17
Member – IEEE, ACM