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EAMCET | ICET | ECET | CODE: BVRI

PGECET | CODE: BVRI1 | NIRF

Dr. S. Pavan Kumar Reddy

Dr. S. Pavan Kumar Reddy

Assistant Professor
pavankumar.s@bvrit.ac.in

Ph.D.: Image Processing with Deep Learning, VIT-AP University, 2024
PG: M.Tech (CSE), Jawaharlal Nehru Technical University, Anantapur, 2013.
UG: B.Tech (CSE), Jawaharlal Nehru Technical University, Anantapur, 2011.

Teaching Experience: 13 Years
Research Experience: 3 year 4 months
Industry Experience:

Contact Number: +91 8008167655
BVRITN Employee ID: BVRIT0114
JNTUH Registration ID: 42150402-140710
AICTE Registration ID: 

  1. Artificial Intelligence
  2.  Gen AI
  3. Image processing
  4. Machine learning
  5. Deep learning
  1. S. P. Reddy, G. Pradeep Reddy and A. Kumar, “Sleep Stage Classification Using Variational Mode Decomposition and Wrapper-Based Feature Selection From the Single Channel EEG,” in IEEE Access, vol. 13, pp. 117224-117238, 2025, doi: 10.1109/ACCESS.2025.3585963(SCI)
  2. S. Pavan Kumar Reddy and J. Harikiran,”Cast Shadow Angle Detection in Morphological Aerial Images using Faster R-CNN,” Treatment du Signal, Vol. 39, No. 4, pp. 1313-1321. https://doi.org/10.18280/ts.390424. (SCI).
  3. S. Pavan Kumar Reddy and Gokul Nath Kandasamy, “Cusp Pixel Labelling Model for Objects Outline Using R-CNN,” in IEEE Access, vol. 10, pp. 8883-8890, 2022, (doi: 10.1109/ACCESS.2021.3139896) (SCI).
  4. Pavan Kumar Reddy Sana, B. Lakshmi Bhavani, Donapati Srikanth, ” Adaptive feature fusion network for fetal head segmentation in ultrasound images ,” in IAES International Journal of Artificial Intelligence, vol. 15,issue 1 DoI: 10.11591/ijai.v15.i1.pp841-851(SCOPUS).
  5. S Pavankumar Reddy,Nagavarapu, Sateesh “An experimental research on outsourced data science for file seeking”,, 2019, 8(6 Special Issue 4), pp. 629–634.(SCOPUS)
  6. Mandru, Deenababu,Suhasini, Nittala Swapna, S Pavankumar Reddy “Data summarization based on multiple attributes in unreliable categorical data” International Journal of Recent Technology and Engineering,2019, 8(2 Special Issue 11), pp.2430–2434
  7. Reddy, Sana Pavan Kumar, Jonnadula Harikiran, and Bolem Sai Chandana. “Deep CNN Based Multi Object Detection And Tracking In Video Frames With Mean Distributed Feature Set.” Procedia Computer Science 235 (2024): 723-734.(SCOPUS)
  8. S. Pavan Kumar Reddy, V Manikyala Rao” A Survey on Deep Learning For Hand Written Recognition by Digit & Character”, an International Journal of Creative Research Thoughts (IJCRT)  ISSN: 2320-2882, Volume-8, Issue- 6, JUNE  2020
  9. S. Pavan Kumar Reddy ” An Experimental Research on Outsourced Data Science for File Seeking”, an International Journal of Innovative Technology and Exploring Engineering (IJITEE)  ISSN: 2278-3075, Volume-8, Issue- 6S4, April 2019
  10. S. Pavan Kumar Reddy” An Experimental Detail Analysis of Cloud Computing For Security & Privacy Issues”, an International Journal of Advanced Science and Technology (IJAST) ISSN:2005-4238E-ISSN:2207-6360 Vol-127-June-2019
  11. S. Pavan Kumar Reddy” Investigation Outcomes of IR Protocol Using Data Mining In Cloud”, an International Journal of Research in Advent Technology, Special Issue, NCRCEST 2019  E-ISSN: 2321-9637
  12. S. Pavan Kumar Reddy” Cloude: Data Mining Algorithm on Massive Datasets Through Hadoop”, an International Journal of Advanced in Management, Technology and Engineering Sciences Volume 8, Issue III, MARCH/2018 with ISSN NO : 2249-7455”
  13. S. Pavan Kumar Reddy, G.Sireesha and  U.Seshadri ” The Security Issues of Cloud Computing Over Normal & IT Sector”, an International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
  14. S. Pavan Kumar Reddy,M. D. Sirajul Huque, C.Surekha,Vidhisha Yadav ” The Common    Difference Between MIMO With Other Antennas”, CSCV01I1, August 2012 (https://doi.org/10.48550/arXiv.1207.0665)
  15. S. Pavan Kumar Reddy, Y. Ganesh Kumar Reddy, K. Chandra Mouli, U. Seshadri“Underwater Efficient Energy Communication in Wireless Sensor Networks”, (https://doi.org/10.48550/arXiv.1211.1451)
  16. S. Pavan Kumar Reddy, U Seshadri ” A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering”, an International Journal of Computers & Technology,Vol 10, No 8 (https://doi.org/10.24297/ijct.v10i8.1468)
  1. S. P. K. Reddy, N.Bhargavi, A.Maheedhar, Ch.Mounika and K.Likith, “Explainable Brain Tumor Classification from MRI Images using Transfer Learning and Grad-CAM,” 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2026, pp. 1548-1554, doi: 10.1109/ICICV68925.2026.11554639.
  2. S. P. K. Reddy, M. Pasunuri, S. Malipatel and P. S. Nakka, “Boosted Inception Shared-Backbone using KD for Fine-Grained Animal Image Classification,” 2026 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India, 2026, pp. 171-176, doi: 10.1109/ICESIC67389.2026.11496439.
  3. S. P. K. Reddy, K. E. Priya, A. Chouhan and C. Mounika, “AI-Powered Clinical Decision Support System for Chronic Kidney Disease Staging and Dialysis Surveillance with Role-Specific Functions and Embedded Chatbot,” 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2026, pp. 1807-1812, doi: 10.1109/ICAISS68683.2026.11525760.
  4. J. Sunil Kumar Kumar, Chanumolu, Kiran Kumar, Sana Pavankumar Reddy”COVID-19 Detection Using Enhanced BiLSTM from Paper Based ECG Signals”Lecture Notes in Networks and Systems,2026, 1770 LNNS, pp. 267–278
  5. Reddy S. P.K., Aishu N., Harshavardhan T., Vamshi N.” Unified Representation for Image Generation and Segmentation” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6740- 6750.
  6. Reddy S. P.K., Reddy M.H., Yashasree G., Abhishek R.” Real-Time Hate Speech Detection with Robust Dis-tilBERT-SVM” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6993- 7000.
  7. S.Pavan Kumar Reddy, C Mounika, B Geervani, A Meghana Tomato Plant Leaf Diseases Classification usingEnhanced LSTM and BiLSTM,2025 International Conference on Intelligent Computing and Knowledge Extraction, Bangalore, India, 2025, DOI: 10.1109/ICICKE65317.2025.11136687.
  8. S.Pavan Kumar Reddy, M. Mounika and U. Nagavelli Edge Computing and Federated Learning:Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems,2025International Conference on Next Generation Communication Information Processing (INCIP),Bangalore, India, 2025, pp. 339-345, doi: 10.1109/INCIP64058.2025.11020061
  9. S.pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana Design of An Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process, 2024 2nd International Conference on Signal Processing, Communication, Powerand Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10991311.
  10. s pavan kumar Reddy, U. Nagavelli, Y. S. Kiran, C. S. Kondoju, S. Bushmoni and A. Yashaswi, Deep Learning for Zero-Day Threat Detection and Mitigation, 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India, 2024, pp. 1362-1368, doi:10.1109/ICICNIS64247.2024.10823270.
  11. S. P. Kumar Reddy, N. Sreevani, R. V, S. Babu, N. Singh and A. Kareem, Combining the AIML Model with Acoustic Signal to Evaluate the Bowel Sound, 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), Lucknow, India, 2024, pp. 1-6, doi: 10.1109/IC3TES62412.2024.10877599.
  12. Nagavelli, Mrs Umarani, Niladri Sekhar Dey, and S. Pavan Kumar Reddy. “Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies.” AIDE-2023 and PCES-2023 (2023): 414.
  13. Mounika, M., Reddy, S. P. K., Abhinaya, A., & Akshay, G. (2024, June). Quantum Machine Learning: Bridging the Gap Between Theory and Practice. In International Conference on Intelligent Computing and Big Data Analytics (pp. 89-105). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-74682-6_7
  14. Reddy, Sana Pavan Kumar, et al. Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence. International Conference on Intelligent Computing and Big Data Analytics. Cham: Springer Nature Switzerland, 2024. https://link.springer.com/chapter/10.1007/978-3-031-74682-6_8
  15. Dr S.Pavan Kumar Reddy,Jakkula Suryateja,K.Shriya BushanAllapu ManaswiniB.Venkata Pavan Sai “CG-FER : A Hybrid CNN and GAN based Facial Expression Recognition”,International Conference on Automation, Computing and Renewable Systems [ICACRS 2024].
  16. Dr sana pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana “Design of An  Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process” , International Conference on Signal Processing, Communication, Power and Embedded Systems 19th – 21st December 2024 [SCOPES-2024].
  17. Dr sana pavan kumar Reddy,Mrs.M.Mounika,Mrs.Umarani Nagavelli “Edge Computing and Federated Learning: Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems” [INCIP-2024].
  18. N. S. Dey, S. P. K. Reddy and L. G, “Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 406-414, doi: 10.1109/I-SMAC58438.2023.10290253.
  19. S.Pavan Kumar Reddy, J.Harikiran “Deep CNN Based Multi Object Detection and Tracking In Video Frames With Mean Distributed Feature Set”. 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023).
  20. J. Harikiran, S. P. Kumar Reddy and B. S. Chandana, “Detection of Monkeypox Using Modified ResNet50,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 317-322, doi: 10.1109/ICIRCA57980.2023.10220681.
  21. S. P. Kumar Reddy, J. Harikiran and B. S. Chandana, “Multi Object Detection and Shadow Identification in Images: State-of-Art,” 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 1640-1650, doi: 10.1109/ICIRCA54612.2022.9985653.
  22. S. Pavan Kumar Reddy” Data Summarization Based on Multiple Attributes in Unreliable Categorical Data”, an International Conference on Computing Communication And Electrical Technologies (DOI:10.35940/ijrte.B1282.0982S1119) held on Aug 29-30th 2019.
  23. S. Pavan Kumar Reddy “CLOUDE: Huge Datasets Using HADOOP over Data mining”, an national conference on Innovations In Computation Communication and Cybernetics (I3C 2018) on Feb 2018 in BITCON-2018 Drug.
  1. Marks calculation of descriptive examination patent application no:202441009546A, Publication      Date:08/03/2024, INDIAN Patent.
  2. Automated Diagnostic System to Detect the Liver Disease using Large Language Models Application No.202541126695 A Publication Date : 02/01/2026
  • participated and completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Advanced Computational Methods in Genomics and Drug Discovery: Bridging A and Biomedical Science at Indian Institute of Information Technology, Raichur from 08/09/2025 to 13/09/2025
  • participated in the Five-Day FDP on Probability and Statistics Essentials for Data Science ML
  • organized by Dept. of Research Publications, A2Z EduLearningHub LLP, held from August 13th to 17th , 2024.
  • Participated in Online Workshop AI/ML based Controllers Design and their Applications in
  •  Real-time Platform (AMCDARP-2024)” organized by the Department of Electrical
  •  Engineering ,NIT-Rourkela from 28th September 2024 to 2th October 2024.
  • Attended five days international faculty development programme “Advanced technologies in Artificial intelligence and data analytics” organized by department of CSE Astana IT University, Astana ,Kazakhstan.
  • Attended in Two Week ONLINE workshop on “Asymptotic Analysis of Algorithms” organized by the Department of Computer Science & Engineering, National Institute of Technology Warangal during 19th-29th October, 2023.
  • Participated in the Guest Lecture on Agile Tour Modern Methodology of Software Delivery organised by School of Computer Science and Engineering, VIT-AP University, Amaravati on 3rd August 2022.
  • Participated in the “One-Day FDP on Real Time Machine Learning Techniques and its
  • Applications”, organized by the School of Electronics Engineering at VIT-AP University, Amaravati on 25th July 2022.
  • Successfully completed the NASSCOM Python course conducted from December 2020 to March 2021.
  • Participated in the “2nd One-Week Workshop on Technical Writing using LaTeX (Online)”, organized by the School of Electronics Engineering at VIT-AP University, Amaravati.
  • Attended online Faculty Development Program on “Deep Learning For Real Time Research Applications “, in Association with CCE, NITW 03-01-2022 to 07-01-2022.
  • Attended international level one week Online Faculty Development Programme on “Advanced Data Science and its Applications” organized by CSE &IT, BVRIT Hyderabad on 22 -26th June 2020.

ISTE Id: LM115047

  • Data Science, Analytics, and Predictive Mining Using Open-Source Tools, Amezon USA publisher with ISBN: 9798666275979.
  • Block chain technology and decentralized apps in advanced applications, Amazon kindle Edition with ISBN:9798676894672.

NPTEL Courses

  1. Introduction to Machine Learning
  2. Data science using python

Other Courses:

  1. Nasscom Python – Coding Ninja’s.
  2. Infosys spring board –Artificial Intelligence Primer Certification
  3. Infosys spring board-Gen AI Infosys Spring board

 

  1. Certificate of Appreciation Outstanding performance for having demonstrated exceptional commitment and support, notably in Jatayu Season IV held between Dec’24 – Dec’25.
  2. Certified that the Poster Titled “Object and Shadow Detection Using R-CNN For Real Images” has been adjudged the Best Poster Presentation (university Level), At the five days poster presentation event V-SAMSHOD held during November 8-12,2022.

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