Dr. Veerasekhar reddy

Papers Published

Publications-

1. B. VeeraSekharreddy, YCA Padmanabha Reddy published a paper titled “A Novel
Approach for Transductive Decision Tree” in (IJCSIT) International Journal of
Computer Science and Information Technologies, Vol. 5 (6) , 2014, 6985-6988.
2. N. 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.
3. B. 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.
4. B. 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.
5. 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
6. 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
7. J. 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.
8. 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.
9. J. 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.
10. 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
11. 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

12. 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
13. 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
14. V. N. 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
15. 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.
16. 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.
17. 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
18. 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
19. 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.
20. 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.
21. 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.
22. V. N. 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.
23. V. N. 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.
24. 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.
25. D. 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.
26. 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.
27. S. 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.
28. J. 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.
29. A. 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.

30. 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.
31. 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.
32. 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.
33. V. N. 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.
34. 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.
35. 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.
36. V. 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.
37. S. 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.
38. N. V. 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.
39. 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.
40. V. S. 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.
41. V. 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.

 

Patents Published:
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

 

Subjects Taught

 Computer Programming through C
 Data Structures through C
 Data Mining
 Machine Learning
 Design Analysis and Algorithms
 Discrete mathematics
 Automata and Compiler Design

Books Published

-Book Chapters
 Koppula Srinivas Rao, B. Veerasekhar Reddy, Sarada K., Saikumar K. published a Book
chapter titled “A Sequential Data Mining Technique for Identification of Fault Zone
Using FACTS-Based Transmission”, in Handbook of Research on Innovations and
Applications of AI, IoT, and Cognitive Technologies, IGI Global Publisher, DOI:
10.4018/978-1-7998-6870-5.ch028.
 B. Veerasekhar Reddy, Venkata Nagaraju Thatha, Uday kiran.G, Srilakshmi.v,
Srinuvasarao sanapala published a Book chapter titled “A Survey on Text classification
using different Machine Learning Approaches”, in Futuristic trends in Computing and
Technologies and Data Sciences, IIP Publisher, Volume:3, May 2024, Page No.178-186
e-ISBN:978-93-6252-329-7, DOI/Link:https://www.doi.org/10.58532/V3BGCT1P5CH4.
 Venkata Nagaraju Thatha, B. Veerasekhar Reddy, Uday kiran.G, Srilakshmi.v,
Srinuvasarao sanapala published a Book chapter titled “Scientific Article clustering
using R Trees and K-Means Algorithm with GWO optimization Technique”, in
Futuristic trends in Computing and Technologies and Data Sciences, IIP Publisher,
Volume:3, May 2024, Page No.171-177, e-ISBN:978-93-6252-329-7,
DOI/Link:https://www.doi.org/10.58532/V3BGCT1P5CH3.
 Uday kiran.G, Srilakshmi.v, Srinuvasarao sanapala B. Veerasekhar Reddy, Venkata
Nagaraju Thatha, published a Book chapter titled “Image Processing Techniques in
Computer Vision”, in Futuristic trends in Computing and Technologies and Data
Sciences, IIP Publisher, Volume:3, May 2024, Page No.156-170, e-ISBN:978-93-6252-
329-7, DOI/Link:https://www.doi.org/10.58532/V3BGCT1P5CH2.