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Dr. Thunakala Bala Krishna

Assistant Professor, Department of Electronics & Communication Engineering, School of Engineering, Amaravati

Qualification: Ph.D
t_balakrishna@av.amrita.edu
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Research Interest: signal and image processing, biomedical image analysis, fetal anatomical structure image analysis, machine learning, deep learning, AI and IoT in healthcare, image quality assessment, and AI in agriculture.

Bio

Dr. Thunakala Bala Krishna is an Assistant Professor in the Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham – Amaravti Campus where he joined in May 2025.

He received his Ph.D. degree in Electronics and Communication Engineering (ECE) from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Kancheepuram, Chennai, India, in April 2025, guided by Dr. Priyanka Kokil, and completed his M.Tech. degree in Digital Electronics and Communication Systems from Jawaharlal Nehru Technological University (JNTU), Kakinada, India, in 2017 and the B.Tech. degree in ECE from JNTU, Kakinada, India, in 2012.

Publications

Journal Article

Year : 2026

Attention-based deep learning model for clinical assessment of focal liver lesions using ultrasound imaging

Cite this Research Publication : Sunkanaboina Chandra Lingamaiah, Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Priyanka Kokil, Attention-based deep learning model for clinical assessment of focal liver lesions using ultrasound imaging, Biomedical Signal Processing and Control, Elsevier BV, 2026, https://doi.org/10.1016/j.bspc.2026.109563

Publisher : Elsevier BV

Year : 2024

Focal Liver Lesion Classification Based on Statistical Variations of Discrete Haar Wavelet Transform and Singular Value Decomposition

Cite this Research Publication : Ajay Kumar Reddy Poreddy, Sunkanaboina Chandra Lingamaiah, Thunakala Bala Krishna, Priyanka Kokil, Focal Liver Lesion Classification Based on Statistical Variations of Discrete Haar Wavelet Transform and Singular Value Decomposition, IEEE Sensors Letters, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/lsens.2024.3419145

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Enhancing Laparoscopic Video Quality Assessment: A Model Addressing Sensor and Channel Distortions

Cite this Research Publication : Ajay Kumar Reddy Poreddy, Bhargav Varma Atmakuru, Thunakala Bala Krishna, Priyanka Kokil, Balasubramanyam Appina, Enhancing Laparoscopic Video Quality Assessment: A Model Addressing Sensor and Channel Distortions, IEEE Sensors Letters, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/lsens.2024.3366564

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Standard fetal ultrasound plane classification based on stacked ensemble of deep learning models

Cite this Research Publication : Thunakala Bala Krishna, Priyanka Kokil, Standard fetal ultrasound plane classification based on stacked ensemble of deep learning models, Expert Systems with Applications, Elsevier BV, 2024, https://doi.org/10.1016/j.eswa.2023.122153

Publisher : Elsevier BV

Year : 2024

Automatic Identification of Fetal Biometry Planes From Ultrasound Images: An Assistive Tool for Healthcare Professionals

Cite this Research Publication : Thunakala Bala Krishna, Priyanka Kokil, Automatic Identification of Fetal Biometry Planes From Ultrasound Images: An Assistive Tool for Healthcare Professionals, IEEE Sensors Journal, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/jsen.2024.3485216

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Integration of a Deep Convolutional Neural Network With Adaptive Channel Weight Technique for Automated Identification of Standard Fetal Biometry Planes

Cite this Research Publication : Thunakala Bala Krishna, Priyanka Kokil, Integration of a Deep Convolutional Neural Network With Adaptive Channel Weight Technique for Automated Identification of Standard Fetal Biometry Planes, IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/tim.2024.3369155

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Automated classification of common maternal fetal ultrasound planes using multi-layer perceptron with deep feature integration

Cite this Research Publication : Thunakala Bala Krishna, Priyanka Kokil, Automated classification of common maternal fetal ultrasound planes using multi-layer perceptron with deep feature integration, Biomedical Signal Processing and Control, Elsevier BV, 2023, https://doi.org/10.1016/j.bspc.2023.105283

Publisher : Elsevier BV

Conference Proceedings

Year : 2025

Enhanced Eye Disease Diagnosis Using Integrated ResNet-101 and Vision Transformer

Cite this Research Publication : Ajay Kumar Reddy Poreddy, Bachu Ganesh, Thunakala Bala Krishna, Priyanka Kokil, Enhanced Eye Disease Diagnosis Using Integrated ResNet-101 and Vision Transformer, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-93709-5_31

Publisher : Springer Nature Switzerland

Year : 2025

Leveraging CNN Features and Vision Transformers for Enhanced Focal Liver Lesion Classification

Cite this Research Publication : Thunakala Bala Krishna, Tekumudi Vivek Sai Surya Chaitanya, Ajay Kumar Reddy Poreddy, Priyanka Kokil, Leveraging CNN Features and Vision Transformers for Enhanced Focal Liver Lesion Classification, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-93709-5_32

Publisher : Springer Nature Switzerland

Year : 2024

A Multi-input Deep Neural Network Framework for Non-invasive Detection of Anemia using Finger Nail Images

Cite this Research Publication : Krithika S, Ajay Kumar Reddy Poreddy, Thunakala Balakrishna, Priyanka Kokil, A Multi-input Deep Neural Network Framework for Non-invasive Detection of Anemia using Finger Nail Images, 2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII), IEEE, 2024, https://doi.org/10.1109/icbsii61384.2024.10564094

Publisher : IEEE

Year : 2024

A Computer Aided Detection System for Breast Cancer using Lightweight CNN Models for Smart Healthcare

Cite this Research Publication : Varun C, Ajay Kumar Reddy Poreddy, Thunakala Balakrishna, Priyanka Kokil, A Computer Aided Detection System for Breast Cancer using Lightweight CNN Models for Smart Healthcare, 2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII), IEEE, 2024, https://doi.org/10.1109/icbsii61384.2024.10564079

Publisher : IEEE

Year : 2024

Lightweight Deep Learning Model for Melanoma Classification in Dermoscopy Images for Smart Healthcare

Cite this Research Publication : Pentapati Naga Sree Charan Teja, Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Priyanka Kokil, Lightweight Deep Learning Model for Melanoma Classification in Dermoscopy Images for Smart Healthcare, 2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), IEEE, 2024, https://doi.org/10.1109/wispnet61464.2024.10532923

Publisher : IEEE

Year : 2024

Enhanced Focal Liver Lesion Classification using Channel Attention Technique

Cite this Research Publication : Sunkanaboina Chandra Lingamaiah, Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Priyanka Kokil, Enhanced Focal Liver Lesion Classification using Channel Attention Technique, 2024 IEEE 8th International Conference on Information and Communication Technology (CICT), IEEE, 2024, https://doi.org/10.1109/cict64037.2024.10899626

Publisher : IEEE

Year : 2024

Automated Maternal Fetal Ultrasound Image Identification Using a Hybrid Vision Transformer Model

Cite this Research Publication : Thunakala Bala Krishna, Ajay Kumar Reddy Poreddy, Kolla Gnapika Sindhu, Priyanka Kokil, Automated Maternal Fetal Ultrasound Image Identification Using a Hybrid Vision Transformer Model, Lecture Notes in Computer Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-78195-7_17

Publisher : Springer Nature Switzerland

Year : 2023

Automated Anemia Classification and Hemoglobin Level Prediction using Deep CNN and GLCM Features of Palpebral Conjunctiva Images

Cite this Research Publication : Chandrasekhar Bhusham, Ajay Kumar Reddy Poreddy, Thunakala Bala Krishna, Priyanka Kokil, Automated Anemia Classification and Hemoglobin Level Prediction using Deep CNN and GLCM Features of Palpebral Conjunctiva Images, 2023 IEEE 7th Conference on Information and Communication Technology (CICT), IEEE, 2023, https://doi.org/10.1109/cict59886.2023.10455477

Publisher : IEEE

Year : 2022

Automated Detection of Common Maternal Fetal Ultrasound Planes Using Deep Feature Fusion

Cite this Research Publication : Thunakala Bala Krishna, Priyanka Kokil, Automated Detection of Common Maternal Fetal Ultrasound Planes Using Deep Feature Fusion, 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 2022, https://doi.org/10.1109/indicon56171.2022.10039879

Publisher : IEEE

FDP / Workshops
  • Organizing Committee Member: IEEE SPS Seasonal School on “Deep Learning and Its Applications to Biomedical Signal and Image Processing” at IIITDM, Kancheepuram, December 2023.
  • Organizing Committee Member: High-end one week workshop (Karyashala) on “Creative methods and tools for effective research dissemination” at IIITDM, Kancheepuram, December 2022.
  • Delivered a research talk titled “Deep Learning Toolbox for Medical Image Analysis in MATLAB” at the IEEE SPS Seasonal School on “Deep Learning and Its Applications to Biomedical Signal and Image Processing,” held at the IIITDM, Kancheepuram, December 2023.
Membership

IEEE Member

Awards
  1. Fellowship award from Ministry of Human Resource Development (MHRD) India 2021-2024 for Ph.D.
  2. Fellowship award from Ministry of Human Resource Development (MHRD) India during 2014-2017 for M.Tech admission
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