Home | Computer Science & Engg

PROFILE

Courses Taught

Data Warehousing and Data Mining
Soft Computing
Database Implementation Systems

Deep learning for Computer Vision
Data Mining and Applications
Essentials of Big Data Analytics
Object Oriented Programming through Java
Automata and Compiler Design
Theory of Computation
Pattern Recognition
Language Processors
Parallel Processing
Database Management Systems
Data Warehousing and Data Mining

Professional Experience

Academic Experience

Worked as Associate Professor, GRIET Hyderabad.
Worked as Associate Professor, KLU Guntur.
Worked as Assistant Professor, SSIT Hyderabad.

Industry Experience

Worked as Member Technical, D.E. Shaw India Software Private Ltd, Hyderabad.
Did Internship, D.E. Shaw India Software Private Ltd, Hyderabad.

Select Publications

Journals

Lintu Oommen, Chiluka Nikhila Nagajyothi, Srilatha Chebrolu, "Conv-attention ViT for classification of multi-label class imbalanced data of lung thoracic diseases", Multimedia Tools and Applications, pp. 1-30, Springer US (Q1), 3.0 Impact factor (SCOPUS, SCIE), 2024, DOI: 10.1007/s11042-024-20363-z.
Mekala Ratna Raju, Sai Krishna Mothku, Manoj Kumar Somesula, Srilatha Chebrolu, "Age and Energy Aware Data collection scheme for urban flood monitoring in UAV-assisted wireless sensor networks", Ad Hoc Networks, Elsevier (Q1), (SCOPUS, SCIE) vol. 168, pp. 103704, DOI: 10.1016/j.adhoc.2024.103704, 2025.
V K Hanuman Turaga and Srilatha Chebrolu, "Rapid and Optimized Parallel Attribute Reduction based on Neighborhood Rough Sets and MapReduce", Expert Systems With Applications, Elsevier (Q1) (SCOPUS, SCIE) vol.260, pp. 125323, DOI: 10.1016/j.eswa.2024.125323, 2024.
Praveen M. A, Nikhita Evuri, SreeVatsav Reddy Pakala, Sowmya Samantula, Srilatha Chebrolu, “3D Swin Res-SegNet: A Hybrid Transformer and CNN Model for Brain Tumor Segmentation Using MRI Scans”, Journal of The Institution of Engineers (India): Series B, Springer India (Q3), (SCOPUS), pp. 1-11, DOI: 10.1007/s40031-024-01166-0, 2024.
Chiluka Nikhila Nagajyothi, Lintu Oommen, and Srilatha Chebrolu, “Classification of Imbalanced Multi-Label Leaf Diseases using CaRiT: Class Attention Enabled RegionViT”, Multimedia Tools and Applications, Springer US (Q1), 3.0 Impact factor (SCOPUS, SCIE), 2024, DOI: 10.1007/s11042-023-17678-8.
V K Hanuman Turaga and Srilatha Chebrolu, “Efficient and Fast Attribute Reduction Algorithm for Large Dimensional Data using Rough Set Theory on Graphics Processing Unit”, Arabian Journal for Science and Engineering, Springer Berlin Heidelberg (Q1), 2.6 Impact factor (SCOPUS, SCIE), 2024, DOI: 10.1007/s13369-024-09147-7.
Srilatha Chebrolu and S.G. Sanjeevi, “Attribute Reduction on Real-Valued Data in Rough Set Theory Using Hybrid Artificial Bee Colony-Extended FTSBPSD Algorithm”, Soft Computing, Springer Berlin Heidelberg (Q2), 3.1 Impact factor (SCOPUS, SCIE). Vol 21, No. 24, pp 7543-7569, 2017, DOI: 10.1007/s00500-016- 2308-6.
Srilatha Chebrolu and S.G. Sanjeevi, “Forward tentative selection with backward propagation of selection decision algorithm for attribute reduction in rough set theory”, International Journal of Reasoning based Intelligent Systems Inderscience (Q4), 1.2 Impact factor (SCOPUS), Vol 7, No. 3/4, pp 221-243, 2015, DOI: 10.1504/IJRIS.2015.072950.

Conferences

Laya Rangu, Sushma Onapakala, Prasanna Dubba, V K Hanuman Turaga and Srilatha Chebrolu, "Comparative Analysis of CNNs and Transformers for Binary Classification of Breast Cancer Mammograms", 6th International Conference on Recent Advances in Information Technology (RAIT 2025), IIT Dhanbad (Accepted).
Ritvik G, Raman Rao, Neeli Praveen, V K Hanuman Turaga and Srilatha Chebrolu, "Evaluating CNNs and Transformers for Multi-Label Classification in 3D CT Imaging", 6th International Conference on Recent Advances in Information Technology (RAIT 2025), IIT Dhanbad (Accepted).
Masabathula V S Raghavendra Rao, Surya Puligundla, Nikhil Sai Ekkala, and Srilatha Chebrolu, “Image Classification of Ischemic Stroke Blood Clot Origin using Stacked EfficientNet-B0, VGG19 and ResNet- 152”, IEEE Third International Conference on Secure Cyber Computing and Communications, NIT Jalandhar, 2023, IEEE, pp. 304-310, DOI: 10.1109/ICSCCC58608.2023.10176805.
Guda Venkat Bharadwaj, Yaramala Ramya Sree, Jammigumpula Lakshmi Varshita and Srilatha Chebrolu, “Ensemble Model of U-Net EfficientNet-B3, U-Net EfficientNet B6, CoaT, SegFormer for Segmenting Functional Tissue Units in Various Human Organs”, IEEE 14th International Conference on Computing Communication and Networking Technologies, IIT Delhi, 2023, pp. 1- 8, DOI:10.1109/ICCCNT56998.2023.10308023.
Manikiran Reddy Kommidi, Anudeep Sai Chinta, Tarun Kumar Dachepally and Srilatha Chebrolu, “Identification and Localization of COVID-19 Abnormalities on Chest Radiographs using Ensembled Deep Neural Networks”, IEEE 1st International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, VNIT Nagpur, May 2022, pp.21-26, DOI: 10.1109/pcems55161.2022.9807972.
Jatin Singh, Govind Prasad Lakhotia, Aerva Shiva and Srilatha Chebrolu, “Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022, Springer, pp. 61 - 70, DOI: 10.1007/978-981-19-7513-4_6.
Satya Vandana Nallam, Neha Raj, Madhuri Velpula and Srilatha Chebrolu, “Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022, Springer, pp. 39 – 48, DOI 10.1007/978-981-19-7513-4_4.
Hrishikesh Kumar, Sanjay Velu, Are Lokesh, Kuruguntla Suman, and Srilatha Chebrolu, “Cassava Leaf Disease detection using Ensembling of EfficientNet, SEResNeXt, ViT, DeIT and MobileNetV3 models”, International Conference on Paradigms of Communication, Computing and Data Sciences, MNIT Jaipur, July 2022, Springer, pp. 183-193, DOI: 10.1007/978-981-19-8742-7_15.
Sashank Talakola, Madhusudhan Suryaprathap Reddy, Rishi Nagam and Srilatha Chebrolu, “Gastro- Intestinal Tract Image Segmentation using Edge U-Net and U-Net VGG19”, IEEE International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3), NIT Uttarakand, 2023, IEEE, pp. 1 – 7, DOI: 10.1109/IC2E357697.2023.10262483.
V K Hanuman Turaga and Srilatha Chebrolu, “Parallel Computation of Probabilistic Rough Set Approximations”, International Conference on Computational Intelligence, IIIT Pune and Soft Computing Research Society, India, December 2021, Springer, pp. 431-445, DOI: 10.1007/978-981-19-2126-1_34.
Jhansi Lakshmi Durga Nunna, V K Hanuman Turaga and Srilatha Chebrolu, “Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio- BERT on COVID-19 Open Research Articles”, 2nd International Conference on Machine Learning and Big Data Analytics, IIT Patna, 2023, Springer, pp. 213-223, DOI: 10.1007/978-3-031-15175-0_17.
Srilatha Chebrolu and S.G. Sanjeevi, “Attribute Reduction in Decision-Theoretic Rough Set Model using Genetic Algorithm”, Second International Conference on Swarm Evolutionary and Memetic Computing (SEMCCO), DEC-2011, B.K.Panigrahi et al. (Eds.): LNCS 7076, Springer-Verlag Berlin Heidelberg, pp. 307-314, DOI: 10.1007/978-3-642-27172-4_38.
Srilatha Chebrolu and S.G. Sanjeevi, “Attribute Reduction in Decision-Theoretic Rough Set Model using Particle Swarm Algorithm with the threshold parameters determined using LMS training rule”, Third International Conference on Recent Trends in Computing (ICRTC) 12 - 13 March-2015, Volume 57, Elsevier Procedia Computer Science Journal, pp. 527-536, DOI:10.1016/j.procs.2015.07.382.
Srilatha Chebrolu and S.G. Sanjeevi, “Attribute Reduction on Continuous Data in Rough Set Theory using Ant Colony Optimization Metaheuristic”, ACM Proceedings of the Third International Symposium on Women in Computing and Informatics (WCI- 2015) 10 - 13 August 2015, pp. 17-24, DOI: 10.1145/2791405.2791438.

FDP's conducted at NIT Andhra Pradesh

Conducted One week FDP on "Soft Computing Techniques for Analysis of Large Scale Data Sets", sponsored by E&ICT Academy, NIT Warangal from 04^th Feb to 09^thFeb 2019.
Conducted One week FDP on "Artificial Intelligence and Its Applications", sponsored by AICTE ATAL Academy from 16^th Sep to 20^th Sep 2019.
Conducted One week FDP on "Optimization Techniques and Applications", sponsored by NIT Andhra Pradesh from 21^st Sep to 25^th Sep 2020.
Conducted one-day workshop on “Parallel and Distributed Programming Using Python”,sponsored by SERB, DST, GoI on 23 rd May 2022, at NIT Andhra Pradesh.

Completed Projects
a. SERB DST Project No. EEQ/2019/00470 entitled "Parallel and Distributed Attribute Reduction of Large Data Sets based on Rough Set Theory and Evolutionary Algorithms".
Received The Best Innovative Research Paper award for the research paper titled "Parallel Computation of Probabilistic Rough Set Approximations" in the 2nd International
Conference on Computational Intelligence - 2021 which was jointly organized by the IIIT Pune and the Soft Computing Research Society (SCRS), India during December 27-28, 2021.

Dr. SRILATHA CHEBROLU