Dr. Ajay Kumar Reddy Poreddy is an Assistant Professor in the Department of Computer Science and Engineering at Shiv Nadar University Chennai. Prior to joining Shiv Nadar University Chennai, he served as an Assistant Professor in the Department of Computer Science and Engineering at Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai. He received his Ph.D. in Electronics and Communication Engineering from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, India. His research interests include computer vision, multimedia signal processing, machine learning, and artificial intelligence, with a primary focus on no-reference image and video quality assessment. His work encompasses conventional, stereoscopic, virtual reality, underwater, AI-generated, and medical imaging applications, integrating statistical image modeling, deep learning, and human visual perception to develop robust multimedia quality assessment algorithms. His current research aims to develop perceptually inspired and trustworthy AI frameworks for next-generation multimedia, healthcare, and visual communication systems.

Work Experience

• July 2026 – Present, Assistant Professor, Department of CSE, Shiv Nadar University, Chennai
• December 2024 – June 2026, Assistant Professor, Department of CSE, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai, India

Projects

• 2025 IEEE SPS Summer School on “Multimedia Signal Processing and Analysis: Bridging Theory and Practice Using Computational Intelligence” (2025): As the Principal Investigator, secured funding support of USD 3,250 from the IEEE Signal Processing Society (IEEE SPS).

Publications

List of Journal Publications

1. Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Priyanka Kokil. “Multispectral scene analysis to improve laparoscopic surgical precision,” IEEE Transactions on Human Machine Systems (July 2026- Accepted for publication).
2. Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, Priyanka Kokil, and Alan C. Bovik.  “Blind S-3D VR picture quality prediction using trivariate brightness, color, and disparity statistics.” Signal Processing: Image Communication, Vol. 147, (2026): 117595.DOI:      10.1016/j.image.2026.117595.

3. Ajay 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, vol. 9, no. 5, pp. 1–4, May 2025, Art. no. 6005004. DOI: 1109/LSENS.2025.3553292.
4. Ajay Kumar Reddy Poreddy, Tejendra Dixit, Rushendra B., and Priyanka Kokil. “Analyzing analog, digital, asymmetric, and butterfly-like hysteresis characteristics using generalized memristor model.” Semiconductor Science and Technology, Vol. 41 (4), (2026): 045017. DOI: 1088/13616641/ae5ccb.
5. Ajay 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: 1109/TIM.2023.3322995.
6. Ajay 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: 1109/TIM.2024.3400304.
7. 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: 1109/LSENS.2024.3366564.
8. 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: 1109/LSENS.2024.3419145.
9. 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): 67436753. DOI: 1007/s00371-022-02760-3.
10. Pankaj Kumar Raghuwanshi, Ajay Kumar Reddy Poreddy, Sakali Raghavendra, and Balasubramanyam Appina. “An unsupervised stereoscopic image quality prediction model using perceptual and statistical features of scene attributes,” IEEE Transactions on Instrumentation and Measurement, Vol. 74, pp. 1–10, September 2025. DOI: 1109/TIM.2025.
11. Pankaj Kumar Raghuwanshi, Ajay Kumar Reddy Poreddy, Balasubramanyam Appina, and Ram Bilas Pachori. “3D-CLuDe: A 3D image quality evaluator using correlative dependencies between luminance and depth attributes,” IEEE Sensors Letters, Vol. 9, pp. 1–4, November, 2025. DOI: 1109/LSENS.2025.3626578.
12. Sunkanaboina Chandra Lingamaiah, T Bala Krishna, Ajay Kumar Reddy Poreddy, and Priyanka Kokil. “Attention-Based Deep Learning Model for Clinical Assessment of Focal Liver Lesions Using Ultrasound Imaging,” Biomedical Signal Processing and Control, Vol. 116, May, 2026. DOI: https://doi.org/10.1016/j.bspc.2026.109563.
13. Ramya Saisree Mogasati, Sunny Ganavdiya, Ajay Kumar Reddy Poreddy, Balasubramanyam Appina and Rambilas Pachori. “A no-reference framework for animated video quality prediction in consumer multimedia applications,” IEEE Transactions on Consumer Electronics, March, 2026. DOI: 1109/TCE.2026.3671988.
14. Pankaj Kumar Raghuwanshi, Sujeeth Kumar Ryakala, Balasubramanyam Appina, and Ajay Kumar Reddy Poreddy. “A reference-free framework for stereoscopic image quality evaluation using wavelet and sharpness features of scene components.” IEEE Transactions on Consumer Electronics, May (2026). DOI: 1109/TCE.2026.3693751.

List of Conference Publications

1. 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, pp. 1-5. DOI: 1109/SPCOM55316.2022.9840855.
2. 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.

3. Bhusham Chandrasekhar, Ajay Kumar Reddy Poreddy, Thunakala Bala Krishna, and Priyanka Kokil. “Automated Anemia classification and Hemoglobin level prediction using deep CNN and GLCM features of palpebral conjunctiva images.” In Conference on Information and Communication Technology (CICT), pp. 1-6. IEEE, 2023. DOI: 1109/CICT59886.2023.10455477.
4. Varun C, Ajay Kumar Reddy Poreddy, Thunakala Balakrishna, and Priyanka Kokil. “A computer-aided detection system for Breast Cancer using lightweight CNN Models for smart healthcare.” In International Conference on Bio Signals, Images, and Instrumentation (ICBSII), 1–6. IEEE, 2024. DOI: 10.1109/ICBSII61384.2024.10564079.
5. Krithika S, Ajay Kumar Reddy Poreddy, Thunakala Balakrishna, and Priyanka Kokil. “A multi-input deep neural network framework for non-invasive detection of anemia using fingernail images.” In International Conference on Bio Signals, Images, and Instrumentation (ICBSII), 1–6. IEEE, 2024. DOI: 1109/ICBSII61384.2024.10564094.
6. Naga Sree Charan Teja, Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, and Priyanka Kokil. “Lightweight deep learning model for melanoma classification in dermoscopy images for smart healthcare.” In International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 1–6. IEEE, 2024. DOI: 1109/WiSPNET61464.2024.10532923.
7. Sunkanaboina Chandra Lingamaiah, Thunakala Bala Krishna, Ajay Kumar Reddy, and Priyanka Kokil. “Enhanced Focal Liver Lesion Classification using Channel Attention Technique.” In International Conference on Information and Communication Technology (CICT), 1–6. IEEE, 2024. DOI: 10.1109/CICT64037.2024.10899626.

List of Book Chapters

1. Thunakala 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 (03 December 2024). DOI: 10.1007/978-3-031-78195-7 17
2. Ajay Kumar Reddy Poreddy, Bachu Ganesh, Thunakala Bala Krishna, and Priyanka Kokil. “Enhanced eye disease diagnosis using integrated ResNet-101 and vision transformer,” In 9^th International Conference on Computer Vision & Image Processing (CVIP), vol 2477. Springer, 2024. DOI: 10.1007/978-3-031-93709-5 31.
3. Siddarth. C, Ajay Kumar Reddy Poreddy, and Priyanka Kokil. “A comprehensive study on pre-trained models for skin lesion diagnosis in a federated setting.” In International Conference on Computer Vision and Image Processing (CVIP), 483–93. Springer, 2023. DOI: 10.1007/9783-031-58535-740.
4. Thunakala Bala Krishna, Tekumudi Vivek Sai Surya Chaitanya, Ajay Kumar Reddy Poreddy, and Priyanka Kokil. “Leveraging CNN features and vision transformers for enhanced focal liver lesion classification,” In International Conference on Computer Vision and Image Processing (CVIP), 483–93. Springer, 2023. DOI: 10.1007/978-3-031-93709-5 32.

Awards

• First Runner-Up Award, Ph.D. Thesis Symposium Presentation, 9th IEEE International Conference on Information and Communication Technology (CICT 2025), IIITDM Kancheepuram, December 2025.
• Mentored final-year B.Tech students across four batches, whose projects received the prestigious IndiaAI Fellowship Award (1,00,000 rupees per student) from the Ministry of Electronics and Information Technology (MeitY), Government of India.

Area of Research

• Computer Vision
• Multimedia Signal Processing
• Image and Video Quality Assessment
• Machine Learning and Deep Learning
• Artificial Intelligence
• Medical Image Analysis
• Underwater Image Processing
• Immersive Multimedia (3D and Virtual Reality)

Links

• Personal Website: https://ajayportfolio-pearl.vercel.app/
• Google Scholar: https://scholar.google.com/citations?user=4qkxbhoAAAAJ&hl=en