Ph.D.: VIT-AP University, 2022
PG: M.Tech(CSE), Vignan’s Lara Institute of Technology, JNTUK, 2014.
UG: B.Tech (CSE),Vasireddy Venkatadri Institute of Technology, JNTUK, 2012.
Teaching Experience: 8 Years
Research Experience: 3 years
Contact Number: +91 9985150522
BVRITN Employee ID: 5097
AICTE ID: 1-3199444237
JNTUH Registration ID: 6454-160305-130424
- Remote Sensing
- Mobile ad hoc networks
- Deep Learning
- IAENG Member – 195119.
- Qualified in GATE-2017 with 92 percentile.
- Qualified in AP SET-2020.
- Medikonda, V. R., Reddy, T. S., Yallamandaiah, S., Karthik, S., & Anil, C. (2025). “Enhanced hyperspectral image classification using multi-scale residual depthwise separable convolutional networks with advanced feature extraction and selection techniques”. International Journal of Information Technology, 1-20. DOI:https://doi.org/10.1007/s41870-025-02510-3[Scopus]
- Koduru Hajarathaiah, Chandra Sekhar Kolli, Subba Reddy Tatireddy, M.P.J. Santosh Kumar, Vijaya Kumar Reddy Radha, Vadisena Venkata Krishna Reddy,”Cascade Kronecker neuro–fuzzy network based influential node identification”, Applied Soft Computing, Volume 175,2025
DOI: https://doi.org/10.1016/j.asoc.2025.113015.[SCIE]
- Tatireddy Subba Reddy, V. V. Krishna Reddy, R. Vijaya Kumar Reddy, Chandra Sekhar Kolli, V. Sitharamulu & Majjaru Chandrababu (2024) “SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image”, The Imaging Science Journal, DOI: 1080/13682199.2023.2208927. [SCIE]
- Kolli, C. S., Krishna Reddy, V. V., Reddy, T. S., Chandol, M. K., Dasari, D. B., & Reddy, M. R. (2024). “Deep learning-based privacy-preserving recommendations in federated learning”. International Journal of General Systems, 1–27. https://doi.org/10.1080/03081079.2024.2302605 [SCIE]
- Battula Srinivasa Rao, Mudiyala Aparna, Jonnadula Harikiran & Tatireddy Subba Reddy“ An effective Alzheimer’s disease segmentation and classification using Deep ResUnet and Efficientnet” , Journal of Biomolecular Structure and Dynamics, Dec 2023, DOI: 1080/07391102.2023.2294381. [SCIE]
- Harikiran, J., Chandana, B. S., Srinivasarao, B., Raviteja, B., & Reddy, T. S. (2023). “Software defect prediction based ensemble approach.”, Computer Systems Science and Engineering, 45(3), 2313-2331. doi:10.32604/csse.2023.029689 [SCIE].
- Sanjeevaiah K., Reddy, T. S., Karthik, S., Kumar, M., & Vivek D. (2023). “Content-Based Image Retrieval Using Hybrid Densenet121-Bilstm and Harris Hawks Optimization Algorithm”. International Journal of Software Innovation (IJSI), 11(1), 1-15. http://doi.org/10.4018/IJSI.315661. [Scopus, ESCI].
- Subba Reddy, Tatireddy, et al. “Hyperspectral Image Classification with Optimized Compressed Synergic Deep Convolution Neural Network with Aquila Optimization.” Computational Intelligence and Neuroscience 2022 (2022). DOI: https://doi.org/10.1155/2022/6781740 [SCIE]
- Hajarathaiah, K.; Enduri, M.K.; Anamalamudi, S.; Subba Reddy, T.; Tokala, S. “Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks”. Entropy2022, 24, 704. https://doi.org/10.3390/e24050704. [SCIE]
- S. Reddy and J. Harikiran, “DALF: An AI Enabled Adversarial Framework for Classification of Hyperspectral Images”, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), Vol. 9, No. 4, December2021,pp.954-965 ISSN: 2089-3272, DOI: 10.52549/ijeei.v9i4.3339 [ Scopus indexed ]
- S. Reddy and J. Harikiran, “A semi-supervised Cycle-GAN Neural Network for Hyperspectral Image Classification with Minimum Noise Fraction (MNF)”, Journal of Spectral Imaging. Vol 11, a2(2022). DOI: 10.1255/jsi.2022.a2 [Scopus Indexed].
- S. Reddy and J. Harikiran, “An outlook: Machine Learning in Hyperspectral Image Classification and Dimensionality Reduction Techniques”, J. Spectral Imaging 11, a1 (2022). DOI: 10.1255/jsi.2022.a1 [ Scopus indexed ]
- Subba Reddy, T., and J. Harikiran. “Hyperspectral Image Classification using Support Vector ” IAES International Journal of Artificial Intelligence, vol. 9, no. 4, 2020, pp. 684- 690. DOI:10.11591/ijai.v9.i4.pp684-690. [Scopus indexed]
- Hajarathaiah, , and T. S. Reddy. “Enhanced Energy Efficiency Algorithm for Query Results.” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 6, 2019, pp. 1616-1618. [Scopus indexed ]
- S. Reddy, S. Gopisetti, C. S. Kumar, G. K. Prasad and D. Vaishnavi, “Extending the Progression Model of Alzheimer’s Disease Combining KNN, LDA and SMOTE,” 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2025, pp. 1-5, doi: 10.1109/ICAECT63952.2025.10958939.
- S. Reddy, S. Anusha, E. V. V. Reddy, V. V. Shivamani and V. Mrudula, “Hyperspectral Image Classification based on Cycle GAN and EfficientNet,” 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2024, pp. 1-6, doi: 10.1109/ICAECT60202.2024.10469330.
- S. Reddy, V. Saikiran, S. Samhitha, S. Moin, T. P. Kumar and V. S. Charan, “Early detection of Alzheimer disease using Data Augmentation and CNN,” 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/GCAT59970.2023.10353397.
- K. Vijaya Kumar, N. Sree Vidya, M. V. Ramana, J. Harikiran, B. S. Chandana and T. Subba Reddy, “Analysis Decision Making of Land Surface Change Detection in Multispectral Images,” 2023 International Conference on Communication, Circuits, and Systems (IC3S), BHUBANESWAR, India, 2023, pp. 1-5, doi: 10.1109/IC3S57698.2023.10169492.
- Shashanka and T. S. Reddy, “Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-5, doi: 10.1109/RMKMATE59243.2023.10368872.
- Sudhakar, B. Smail, T. S. Reddy, S. Shitharth, D. R. Tripathi and M. Fahlevi, “Web User Profile Generation and Discovery Analysis using LSTM Architecture,” 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2022, pp. 371-375, doi: 10.1109/ICTACS56270.2022.9988505.
- B.Saichandana, Dr.B.Srinivasa Rao, Dr.J.Harikiran, T.Subbareddy ” Gridding and Supervised Segmentation Method for DNA microarray Images”, ICCIDE 2020, Proceedings in Springer LNDECT. DOI: 10.1007/978-981-15-8767-2_8.
- Subba Reddy, Dr.J.Harikiran, Dr.B.Saichandana, “Multiobjective Genetic Algorithm for Hyperspectral Image Analysis”, SCI 2020, Proceedings in Springer Smart Innovation, Systems and Technologies. DOI: 10.1007/978-981-16-0878-0_61.
- Umar, Syed, N. Priya, P. Gayathri, Subba Reddy, and Azeem Mohammed Abdul. “Design of Jitter Spectral Shaping as Robust with various over Sampling Techniques in OFDM.” In Smart Computing and Informatics, pp. 641-647. Springer, Singapore, 2018. DOI: 10.1007/978-981-10- 5544-7_63.
- Programming in Java with 94% (Gold certificate -Top 1% performer).
- Data Analytics with Python with 82%(Silver certificate).
- Problem Solving through Programing in C with 79% (Silver certificate).
- Joy of Computing using Python with 77% (Silver certificate).
- Deep Learning with 76% (Silver certificate).
- Data Structures and Algorithms using Python with 66%.
- Nasscom Python – Coding Ninja’s.
- Python Data Structures –
- Image Classification with CNNs using Keras –
- Sequence Models-
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization-
- Convolutional Neural Network-
- Structuring Machine Learning Projects-
- Neural Networks and Deep Learning –
- Data Visualization– Coursera.
- Algorithmic Toolbox – Coursera.
- Attended 5-day workshop on “Recent Trends in Deep Learning and its applications” organized by SRM-AP University from 14/10/2024 to 18/10/2024.
- Attended 5-day workshop on “New Age Technologies” organized by VIT-AP Univeristy from 28-3-2023 to 1-04-2023.
- Attended 5-day summer workshop on “Recent Algorithms for Remote Sensing Applications” by NITK Surathkal from 12th July to 16th July 2022.
- Attended 5-day Faculty development Programme on “Deep Learning for Real time research Applications” conducted by Gudlavalleru Engineering College in association with NIT- Warangal from 3rd January to 7th January
- Attended 5-day Faculty development Programme on “Hands on training on Python Programming”, conducted by VIT-AP University 26th July to 31st July
- Attended 20 days workshop on “AI and Deep Learning”, organized by 360DigiTMG from 1St july to 28th July
- Attended one-week Faculty Development Programme on “Artificial Intelligence and Machine Learning” organized by MNIT Jaipur at NEC, Narasaraopeta during 17th Dec to 21st Dec
- Attended One week short-term course on Outcome Based Curriculum through ICT organised by NITTTR, Chandigarh at NEC, Narasaraopeta during 25th June to 29th June
- Attended 5-day Faculty Improvement Program on Data Structures and Algorithms workshop at MITS Madanapalle from 28th may to 1st June
- Attended one-week short-term course on wireless & Mobile communication through ICT organised by NITTTR, Chandigarh at NEC, Narasaraopeta during 30th Oct to 3rd Nov 2017.
- Attended one-week short-term course on Cloud computing through ICT organised by NITTTR, Chandigarh at NEC, Narasaraopeta during 23rd Oct to 27th Oct 2017.
- Attended 12 day training on Java Springs Framework by Hebeon Technologies, Hyderabad organized at NEC, Narasaraopeta from 29-05-2017 to 09-06-2017.
- Attended one-week workshop on Cyber Crime & forensic tools through ICT at NIT, Narasaraopeta from 06-02-2017 to 10-02-2017.
- Attended one-week short-term course on Multimedia Tools & Utilities through ICT organized by NITTTR, Chandigarh at NEC, Narasaraopeta during 27th Mar to 31st Mar 2017