NEWS

Science and Engineering. He received his Ph.D. in Electronics and Communication Engineer-
ing 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 Cogni-
tive Analysis Group (MEPCAG) at Indian Institute of Technology Indore and the Advanced

Signal and Image Processing Lab at IIITDM Kancheepuram.

Areas of Research:

Multimedia Quality Assessment, Machine Learning

Research Groups: MEPCAG Lab, IIT Indore, ASIP Lab, IIITDM Kancheepuram

Selected Publications:

• • Ajay Kumar Reddy Poreddy, Peter A. Kara, Roopak R. Tamboli, Aniko Simon, and
    Journal
    ArticlesBalasubramanyam Appina. “CoDIQE3D: A completely blind, no-reference stereoscopic im-
    age quality estimator using joint color and depth statistics.” The Visual Computer, Vol. 39

(12), (2023): 6743-6753. DOI: 10.1007/s00371-022-02760-3.

• Ajay Kumar Reddy Poreddy, Raja Bharath Chandra Ganeswaram, Balasubramanyam
  Appina, Priyanka Kokil, and Ram Bilas Pachori. “No-reference virtual reality image qualityevaluator using global and local natural scene statistics.” IEEE Transactions on Instrumen-
  tation and Measurement, Vol. 72 (1), (2023): 1-16. DOI: 10.1109/TIM.2023.3322995.
• Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “FFVRI-
  QE: A feature fused omnidirectional virtual reality image quality estimator.” IEEE Transac-
  tions on Instrumentation and Measurement, Vol. 73, (2024): 1–11. DOI: 10.1109/TIM.2024.3400304.
• Ajay 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.2024.3366564.
• Ajay 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.2024.3419145.
• Pankaj 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, pp. 1-11, (2025). DOI: 10.1109/TIM.2025.3542137.
• Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “En-
  hancing surgical laparoscopic video quality assessment with integrated feature fusion ac-
  counting for sensor and transmission distortions,” IEEE Sensors Letters (Accepted for pub-
  lication).

Publications:

• Ajay Kumar Reddy Poreddy, and Balasubramanyam Appina. “BVRIQE: A completelytions

  blind no reference virtual reality image quality evaluator,” IEEE International Conference

  on Signal Processing and Communications (SPCOM), 2022, pp. 1-5. DOI: 10.1109/SP-
  COM55316.2022.9840855.

• Ajay 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 (1 August 2021). DOI: 10.1117/12.2597327.
• Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Gnapika Sindhu Kolla, andPriyanka Kokil. “Automated maternal fetal ultrasound image identification using a hy-
  brid vision transformer model,” International Conference on Pattern Recognition (ICPR),

  Lecture Notes in Computer Science, vol 15311. DOI: 10.1007/978-3-031-78195-717

Professional Bodies:

Member – IEEE, ACM

Google Scholar:

https://scholar.google.com/citations?user=xp3kwvEAAAAJ&hl=en

LinkedIn:

https://www.linkedin.com/in/ajaykumarporeddy/