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EAMCET | ICET | ECET | CODE: BVRI

PGECET | CODE: BVRI1

Dr. B. VeeraSekharReddy

Dr. B. VeeraSekharReddy

Assistant Professor
veerasekharreddy.b@bvrit.ac.in

Ph.D.: Natural Language Processing, Jawaharlal Nehru Technical University. Hyderabad, 2025
PG: M.Tech (CSE), Jawaharlal Nehru Technical University, Anantapur, 2015.
UG: B.Tech (CSE), Jawaharlal Nehru Technical University, Anantapur, 2012.

Teaching Experience: 11 Years 1 Month
Research Experience: 
Industry Experience:

Contact Number: +91 9160752568
BVRITN Employee ID: 
JNTUH Registration ID: 68150406-142134
AICTE Registration ID: 1-2504276271

  1. Deep Learning
  2. Natural Language Processing
  3. Data Mining
  4. Machine Learning
  1. Qualified in Telangana State Eligibility Test (TS -SET) in 2018.
  1. Bhumireddypalli Veerasekharreddy, P. Chinniah, P. Varaprasada Rao, Krishna Prakash Arunachalam, Efficient medical image encryption and attack detection using hyperchaotic fibonacci polynomial convolutional neural network in IoT healthcare networks, Neurocomputing, Volume 656, 2025, 131537, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2025.131537. (SCI Q1)
  2. VeeraSekharReddy, B., Rao, K.S. & Koppula, N. “An Attention Based Bi-LSTM DenseNet Model for Named Entity Recognition in English Texts”, in Wireless Personal Communications 130, 1435–1448 (2023). https://doi.org/10.1007/s11277-023-10339-x (SCI Q1)
  3. Bhumireddypalli, VSR, Koppula, SR, Koppula, N. “Enhanced conditional random field-long short-term memory for name entity recognition in English texts”, in Concurrency Computation: Practice and Experience. 2023; 35(9):e7640. doi: 10.1002/cpe.7640 (SCI Q1)
  4. Neerumalla, A. S. Hanuman, B. V. Reddy, and K. Saikumar, “ACDPSNet: Adaptive Cross Domain Polarity Aspect Level Learning Scalable Computing Model for Sentiment Classification and Quantification,” Scalable Computing: Practice and Experience, vol. 26, no. 4, pp. 1671–1683, Jun. 2025. (Scopus)
  5. B. VeeraSekharReddy, K. S. Rao and N. Koppula “A Semi Supervised Approach For Named Entity Recognition Using Label Propagation Along With Conditional Random Field”,  Journal For Basic Sciences, 23 (4), 1420-1427. (Scopus)
  1. Koppula, K. S. Rao and B. VeeraSekharReddy, “Word Sense Disambiguation Using Context Dependent Methods”, 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2021, pp. 1582-1590, doi: 10.1109/ICOEI51242.2021.9452823.
  2. VeeraSekharReddy, K. S. Rao and N. Koppula, “Parts of Speech Tagging using Conditional Random Field with Long Short Term Memory for English texts,” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-3, doi: 10.1109/ICCCNT54827.2022.9984380.
  3. VeeraSekharReddy, K. S. Rao and N. Koppula, “Named Entity Recognition using CRF with Active Learning Algorithm in English Texts,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, 2022, pp. 1041-1044, doi: 10.1109/ICECA55336.2022.10009592.
  4. Philip, V. N. Thatha, M. Harshini, I. V. S. L. Haritha, S. Patil and B. Veerasekhar Reddy, “Classification of Covid-19 Vaccines tweets using Naïve Bayes Classification,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, 2022, pp. 1384-1387, doi: 10.1109/ICECA55336.2022.10009511.
  5. B. VeerasekharReddy, S. Sarath, J. Philip, U. S. Reddy, L. Naresh and K. Tejaswini, “Water Quality Monitoring System using IoT and Cloud,” 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 1036-1042, doi: 10.1109/ICSCSS57650.2023.10169212.
  6. Philip, B. VeerasekharReddy, M. Harshini, I. V. S. L. Haritha, S. Patil and S. K. Shareef, “A Comparative Study of Text Classification using Selective Machine Learning Algorithms,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 482-484, doi: 10.1109/ICICCS56967.2023.10142474.
  7. Koppula Srinivas Rao, Neeraja Koppula, B. Veera Sekhar Reddy; “Real time malicious bot detection for Twitter”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030015. https://doi.org/10.1063/5.0113369
  8. B. Veerasekhar Reddy, K. Srinivas Rao, K. Neeraja; “Named entity recognition on different languages: A survey”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030043. https://doi.org/10.1063/5.0113210
  9. Koppula Srinivas Rao, Neeraja Koppula, B. Veera Sekhar Reddy; “Certificate verification using blockchain”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030068. https://doi.org/10.1063/5.0113374
  10. VN. Thatha, B. VeerasekharReddy, D. Aravind, S. Meghana, N. Sindhu and V. S. Sathvik, “Fuzzy WordNet-Based Document Representation and Clustering using Regularized K-Means,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 953-958, doi: 10.1109/ICIRCA57980.2023.10220868
  11. B. VeerasekharReddy, V. N. Thatha, A. Maanasa, S. S. Gadupudi, S. K. Japala and L. H. Goud, “An ANPR-Based Automatic Toll Tax Collection System Using Camera,” 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, 2023, pp. 133-140, doi: 10.1109/ICPCSN58827.2023.00028.
  12. B. V. Reddy, T. V. Nagaraju, K. Laya, S. Fatima, T. Charan and C. Vagdevi, “Skin Disease Classification Using Machine Learning,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-10, doi: 10.1109/ICCCNT56998.2023.10306716.
  13. P Deepak, B. Veerasekharreddy,Venkata Ramana Banka, “Employing Data Transfer In Deep Learning Techniques For Automated Lung Cancer Detection”, National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  14. Ch.Ithvika, B. Veerasekharreddy, J. Sunil Kumar,” A Novel Algorithm For Machine Learning-Enhanced Image Processing For Liver Cancer Prediction”, National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  15. Dr Ajmeera Kiran, B. Veerasekharreddy, Dr.Vempaty prashanthi, “Assessment Of Different Machine Learning Methods For The Identification Of Bone Cancer In Mri Scan” National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  16. B. VeerasekharReddy, V. N. Thatha, N. S. Biyyapu, J. S. V. G. Krishna, D. A. Sundaram and D. Sandeep, “Named Entity Recognition on Medical text by using Deep Nueral Networks,” 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/GCAT59970.2023.10353439.
  17. B. VeerasekharReddy, V. N. Thatha, G. U. Kiran, S. K. Shareef, N. V. RajaSekharReddy and Y. R. Raju, “Diet Recommendation System for Human Health Using Machine Learning,” 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/CSITSS60515.2023.10334162.
  18. VN. Thatha, B. VeerasekharReddy, G. VenuGopal, K. Ashok, S. Maddu and S. V, “An Enhanced Support Vector Machine Based Pattern Classification Method for Text Classification in English Texts,” 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/CSITSS60515.2023.10334170.
  19. VN. Thatha, B. VeeraSekharreddy, B. H. Onyx, P. S. Reddy, Y. Manisha and V. D. Chowdary, “A Machine Learning Model for Timely Autism Spectrum Disorder Detection,” 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2024, pp. 1-6, doi: 10.1109/ISCS61804.2024.10581067.
  20. B. V. Reddy, V. N. Thatha, G. Bhumika, A. Sanjana, R. V. Sai and V. Jashwanth, “Access Control Technique for data Storage and sharing in Cloud Computing,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1436-1441, doi: 10.1109/ICACCS60874.2024.10716876.
  21. Sandeep, B. V. Reddy, M. Revathi, G. D. Prasanna, G. Vaishali and M. H. Priyanka Reddy, “Hierarchical Attribute-Based Encryption: Achieving a Harmony Between Safeguarding Privacy and Ensuring Accountability,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1448-1453, doi: 10.1109/ICACCS60874.2024.10717160.
  22. G. U. Kiran, R. Gandi, M. Lavanya, G. B. Desale, C. U. Rao and B. V. Reddy, “Deep Learning Based Abstractive Text Summarization: A Survey,” 2024 Parul International Conference on Engineering and Technology (PICET), Vadodara, India, 2024, pp. 1-5, doi: 10.1109/PICET60765.2024.10716176.
  23. Gupta, R. T. Hemanth, G. Lalitha, M. Gupta, B. V. Reddy and R. Emad, “Application of Swarm Intelligence Techniques for Optimization in Speech-to-Text Translation Systems,” 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 2024, pp. 1140-1145, doi: 10.1109/IC3SE62002.2024.10593175.
  24. Philip, M. Harshini, S. Patil, S. K. Shareef, B. V. Reddy and S. Sridevi, “Deep Learning for Web Intrusion Detection,” 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2024, pp. 580-585, doi: 10.1109/ICSCSS60660.2024.10624888.
  25. Balaram, B. V. Reddy, T. Dedeepya, B. Kalva, N. Budige and K. Katravath, “Deep Sentiment Analysis Methods using Machine Learning for Extraction of Brand Value for Various Consumer Products,” 2024 International BIT Conference (BITCON), Dhanbad, India, 2024, pp. 1-4, doi: 10.1109/BITCON63716.2024.10985037.
  26. Manjunatha, G. Nijhawan, B. V. Reddy, R. Najm, M. Upadhya and K. V. S. L. Harika, “Detecting Deceptive Narratives in Social Media Using Advanced Natural Language and Signal Processing Techniques,” 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 795-800, doi: 10.1109/IC363308.2025.10957242.
  27. B. V. Reddy et al., “Adaptive Evolutionary Neural Networks for Resilient Anomaly Detection in Decentralized Swarm Robotic Communication Systems,” 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 573-578, doi: 10.1109/IC363308.2025.10956475.
  28. V. N. Thatha, B. VeeraSekhsrReddy, G. Dastageer, A. Ahmad, M. Nikitha and S. Akshitha, “An Integrated Transfer Learning Model for American Sign Language Recognition,” 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India, 2025, pp. 936-941, doi: 10.1109/ICICCS65191.2025.10985419.
  29. VN. Thatha, B. VeeraSekharReddy, K. Ryveshma, G. S. Karthik, G. Shiva and C. Vikram, “An Enhanced CNN-RNN based Deep Learning Approach for Image Captioning,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 337-340, doi: 10.1109/ICAISS61471.2025.11041703.
  30. B. VeeraSekharReddy, V. N. Thatha, R. B. K. Reddy, R. S. Kumar, K. K. Reddy and H. P. Kumar, “Enhancing Intra-Vehicle Network Security using Intelligent Data-Driven Models,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 508-511, doi: 10.1109/ICAISS61471.2025.11041759.
  31. B. VeeraSekharReddy, V. N. Thatha, M. Vaishnavi, C. K. Priya, G. Shiva Rohan and J. Kishore, “An Enhanced Distributed DoS Attack Classification in Digital Transactions using Hybrid Machine Learning Algorithms,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 585-589, doi: 10.1109/ICAISS61471.2025.11042181.
  32. N. Thatha, B. V. Reddy, N. Akshitha, M. Lahari, M. Kavya and G. C. Kona, “Enhancing Financial Security: Machine Learning with Block Chain for Fraud Detection,” 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India, 2025, pp. 1-5, doi: 10.1109/ICCRTEE64519.2025.11052948.
  33. NV. R. Reddy, B. VeeraSekharReddy, J. P. Kumar, S. K. Kalavari, S. Samayamantri and R. K. Dubey, “ForeStock: Smart Sales Quantity Forecaster for Warehouse Stock Management,” 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2025, pp. 448-452, doi: 10.1109/ICICV64824.2025.11085923.
  34. VS. Bhumireddypalli, V. N. Thatha, S. Bellamkonda, U. K. Goru, and S. R. Sanapala, “A hybrid ensemble classification model for predicting heart diseases,” in AIP Conference Proceedings, vol. 3342, no. 1, pp. 030039-1–030039-7, AIP Publishing, Sept. 2025, doi: 10.1063/5.0296330.
  35. N. Thatha, V. S. Bhumireddypalli, S. S. Nandeti, and P. K. Jakkulla, “Hybrid intrusion detection system: Integrating particle swarm optimization and Bayesian neural networks,” in AIP Conference Proceedings, vol. 3342, no. 1, pp. 030040-1–030040-8, AIP Publishing, Sept. 2025, doi: 10.1063/5.0296367.

S.No

Patent Title

Patent No.

Year

1

A System/Method To Identify Named Entities In English Text Using CRF-LSTM With Choatic Arithmetic Optimization

202341065913A

2023

2

Hybrid Classification Approach For Sentiment Analysis In Social Media Textual Data Stream

202341065915A

2023

3

Hybrid WCID Approach For Enhancement Of Underwater Images For Classification Images

202341065916A

2023

4

A System/Method For Storing Data In Cloud By Using Two Level Security Contrivances

202341065920A

2023

5

A System/Method For Object Identification By Using Deep Reinforcement Machine Learning

202341065918A

2023

6

System/Method For Secure Transaction Of Electronic Health Records Using Block-Chain Technology – SHA Algorithm

202341065923A

2023

7

A System/Method To Defect Exposure In Vegetables And Fruits Using Machine Learning Algorithms

202341065922A

2023

8

A Method/Study To Modeling The Syntactic Negation In Sentiment Analysis Of Tweets On Different Streams

202441032322 A

2024

9

A System/Method For Detection And Grading Of Diabetic Retinopathy Using Hybrid Machine Learning Techniques

202441032324 A

2024

10

A System/Method For Document Classification Using Content Based Image Retrieval Technique

202441032318 A

2024

11

A System/Method For Object Identification By Using Deep Reinforcement Machine Learning

202441032320 A

2024

12

A System/Method For Identify Named Entities In English Text Using An Attention Based Bi-LSTM Densenet Model

202441032321 A

2024

13

A System /Method For Improving The Classification Performance In Plant Diseases Using Hybrid Feature Selection Techniques

202441049923 A

2024

14

A System/Method For Aspect Based Sentiment Analysis Using Minimum Spanning Tree With Cuckoo Search Optimization

202441049924 A

2024

15

A System/Method For Recognition Of Content-Based Images Using Enhanced Cnn Approach

202441049925 A

2024

16

Method to Public Sentiment Analysis using gaining-sharing knowledge optimization technique with Double Path Transformer Network Approach

202541060945 A

2025

17

System/Method to Detect Tomato Leaf Disease using an Enhanced xception model with Deep Convolutional Neural Networks

202541060948 A

2025

18

Hybrid approach for prediction of Heart Disease using Informative Entropy-Based Random Forest

202541060947 A

2025

19

System/Method for Enhanced Concept Map Generation from Domain Text Using Deep Learning Techniques

202541060941 A

2025

  1. Published a copyright on title “Java application for faculty data maintenance in educational institutions” on 05-05-2025.
  1. Participated in a Faculty Development Program on “Deep Learning and its Applications” conducted at Malla Reddy Engineering College from 07-12-2020 to 12-12-2020.
  2. Participated in a faculty Development Program on “Advanced Problem-Solving using Machine Learning and Deep Learning” organized by Department of Computer Science and Engineering (AI & ML), Institute of Aeronautical Engineering from 25-4-2022 to 30-4-2022.
  3. Participated in a Two weeks online Faculty development programme on “Natural Language Processing” jointly organized by the Electronics and ICT Academies at IIT Kanpur, IIT Roorkee, MNIT Jaipur, PDPM IIITDM Jabalpur and NIT Patna during February 7- 18, 2022.
  4. Participated in a Faculty Development Program on “Amazon Web Services” organized by BRAINOVISION Solutions India pvt Ltd in association with AICTE from 22-8-2022 to 27-8-2022.
  5. Participated in a 40 hour online Faculty development programme on “Recent Trends in Machine Learning Techniques and it’s Applications using Python” jointly organized by MLR Institute of Technology, Hyderabad in association with Electronics & ICT Academy, NIT Warangal jointly with IIITDM Kurnool during 25th July – 04th August, 2022.
  6. Participated in a Faculty Development Program on “Blockchain Technology and Applications” conducted by Dept. of Information Technology, Anurag University during 2-1-2023 to 6-1-2023.
  7. Participated in a Faculty Development Program on “Accelerate Research” conducted by Dept. of Information Technology, Anurag University during 14-3-2023 to 18-3-2023.
  8. Participated in a Faculty Development Program on “Machine Learning in Big Data Applications and Security Challenges” conducted at MLR Institute of Technology from 24-04-2023 to 29-04-2023.
  9. Participated in a Faculty Development Program on “Recent Trends in Data Science for Engineering” organized by Department of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana in association with CBIT IEEE-RAS student branch chapter from 26-6- 2023 to 30-6-2023.
  10. Participated in a Faculty Development Program on “Machine Learning – In Practice” organized by Department of Information Technology, Lakireddy Balireddy College Of Engineering, Mylavaram from 19-6-2023 to 24-6-2023.
  11. Participated in a Faculty Development Program on “Data Visualization using Tableau” organized by Department of Computer science & Technology, MLR Institute of Technology from 24-7-2023 to 28-7-2023.
  12. Participated in the “Workshop on Teaching Problem solving Using C” organized by Education Society Chapter IEEE Hyderabad Section from 3-8-2023 to 7-8-2023.
  13. Participated in Workshop On “Data Visualization Tools Using R, Power Bi and Tableau ” organized by Mahatama Gandhi Institute of Technology in Association With Pantech E- Learning Pvt Ltd From 04- 09-2023 To 08-09-2023.
  14. Participated in a Faculty Development Program on “Cloud practitioner (AWS)” organized by MLR Institute of Technology in Association with ICT Academy from 09-10-2023 to 13-10-2023.
  15. Participated in a Faculty Development Program on “Future Trends & Advances in Emerging Technologies” organized by School of Computer Applications, Noida Institute of Engineering & Technology, Greater Noida from 5-12-2023 to 9-12-2023.
  16. Participated in a Faculty Development Program on “AI tools and Prompt Engineering” organized by Department of CSE, IT, Anil Neerukonda Institute of Technology and sciences, Vishakhapatnam and Brainovision solutions India Pvt Ltd from 27-11-2023 to 2-12-2023.
  17. Participated in five day online Workshop On “Blockchain Technology” organized by Centre of Excellence in Cyber Security, JNTUH University, Hyderabad from 18-12-2023 to 22-12-2023.
  18. Participated in a Faculty Development Program on “Deep Learning Solutions in Healthcare” conducted at Chaitanya Bharathi Institute of Technology held from 19th February 2024 to 23rd February 2024..
  19. Participated in a Faculty Development Program on “National Educational Policy 2020: Challenges of Implementation in higher Education” conducted at Chaitanya Bharathi Institute of Technology held from 18th March 2024 to 23rd March 2024.
  20. Participated in a Faculty Development Program on “Generative AI Models and Applications of Machine Learning” conducted at JAIN (Deemed-to-be University), Bengaluru held from 22nd July to 27th July, 2024.
  21. Participated in a Faculty Development Program on “Exploring New Frontiers Teaching Tools, AI and Data Analytics” conducted at MEASI Institute of Information Technology held from 29-07-2024 to 02-08-2024.
  22. Participated in a Faculty Development Program on “Next-Gen Data Science:Deep Learning, NLP and Responsible AI” conducted at CMR Institute of Technology,

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