COMPUTER SCIENCE AND ENGINEERING

Mr. Shaik Mabasha

Mr. Shaik Mabasha

Assistant Professor
mabasha.sk@bvrithyderabad.edu.in

AICTE ID: –
JNTUH ID: 8218-230217-103759
Ratification Status: Yes

Ph.D.: Pursuing Ph.D, JNTU Kakinada
M.Tech.: Computer Science and Engineering, Bapatla Engineering College, 2016
B.Tech.: Information Technology, Prakasam Engineering College, 2014

Teaching Experience: 10 Years 
Research Experience: 1 Year
Industry Experience: Nil

Scopus ID: 58568934200
WoS ID: LBH-0071-2024
Google Scholar ID:  _oGLJMQAAAAJ&hl=en
Vidwan ID: 394971
ORCID ID: 0000-0002-5365-3289

AI, ML, Deep learning, Image Processing, IoT in Healthcare and Agriculture

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  1. Shaik Mabasha, Sneha. R, Shrishailappa Patil, “ Chapter 3 – Integration of Python with Raspberry Pi and Arduino for AI Based Physical Automation”, Python Programming for Artificial Intelligence Applications in Automation and Data Science,Rademics Research Institute, 2025, doi: 10.71443/9789349552074-03.
  2. Sneha. R, Shrishailappa Patil, Shaik Mabasha,“ Chapter10 – Integration of Python with Raspberry Pi and Arduino for AI Based Physical Automation”, Python Programming for Artificial Intelligence Applications in Automation and Data Science, Rademics Research Institute, 2025, doi: 10.71443/9789349552074-10.
  1. Shaik, Mabasha, Gupta, S., & Kishan Babu, K.,“Multimodal brain image fusion for neurological disease detection and classification: a comprehensive review”, International Journal of Computers and Applications,2026, 1–49. https://doi.org/10.1080/1206212X.2026.2690510(Scopus).
  2. Siva Kumar Pathuri, S. Fouzia Sayeedunnisa, Maniza Hijab, S. Gomathi, Mylavarapu Kalyan Ram, Shaik Mabasha, Garlapati Narayana, and VankudothuMalsoru, “AI-Enabled Cervical Cancer Risk Prediction Using YOLOv12 Deep Features and an Optimized RF-XGBoost Classifier”, Journal of Theoretical and Applied Information Technology, 2026, pp-98 – 114, (Scopus).
  3. Mabasha Shaik, K Harini, Dhanush Akkaladevi, Vishnu Gosikonda, “A Hardware-Secured Wearable Device for Direct Hydration and Vital Monitoring Using Multimodal Sensor Fusion”, International Research Journal on Advanced Engineering Hub (IRJAEH), 2026, pp-4155 – 4164, (Scopus).
  4. Shaik Mabasha, M. Prabha,R. Jothilakshmi, Anil Kumar, K. Maheswari, Padmavathy P, “Evaluating the machine learning based Efficacy of Decision Tree and Support Vector Machines in Smart Irrigation Systems for Precise Irrigation Status Classification for Optimizing Water Management in Agriculture,” J. Elec. Sys., vol. 20, no. 2s, pp. 867–875, Apr. 2024, doi: 10.52783/jes.1682(WOS).
  5. Stalin David D, Shaik Abdul Hameed,Javangula Vamsinath, M.Venkata Krishna Rao, Shaik Mabasha, “DETECTING SPAMERS AND IDENTIFING FAKE TWITTER USERS”, JOURNAL OF NORTHEASTERN UNIVERSITY, 2022, pp-1618-1632.
  6. Krishnaiah Boyana, Venkateswara Rao Gurrala, Bhaskar Rao Koutharapu, RatnaPrakash Pedapudi, SK. Mabasha,“Emotion Detection on live video using Deep Learning”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2020.
  1. Shaik Mabasha, Ahmed K. Ali,Nagalakshmi Yarlagadda,P Joel Josephson,Ganesh Dongre, Deepali Kamthania, Krishna Chaithanya Janapati,”Image Quality Restoration Using Gans for Robust Object Detection in Projection-Based Vision Systems,” 2026 International Conference on Electrical and Electronics for Sustainable Innovations (ICEESI), Raigarh, India, IEEE Xplore, 2026, pp. 1-7, doi: 10.1109/ICEESI68020.2026.11583433.
  2. M. Haneef, D. L. Pansy, S. Mabasha, P. J, A. R and R. K, “A Machine Learning-Based Framework for Drought Prediction and Resilience in Wheat Cultivation,” 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024,IEEE Xplore, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10990721.
  3. T. Shilpa, N. Yamsani, B. V. Kumar and S. Mabasha, “A Real Time ML Technique for the Manufacturing and Image Classification System,” 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2024, IEEE Xplore,pp. 1-6, doi: 10.1109/AMATHE61652.2024.10582141.
  1. Design No: 457843-001, “SMART DEVICE FOR PREDICTIVE RISK MANAGEMENT IN INVESTMENTS”, on 21/08/2025.

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  1. IAENG
  2. Internet Society

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  1. Guest Lecture on “Demystifying Machine Learning: Code, Train, Predict” (30 August 2025)
  2. Mastering Java Collections: Data Structures, Iterators, and Sorting Mechanisms (7 November 2025)
  3. Faculty Development Programme (FDP) on “AI-Driven Robotics: Bridging Intelligence, Perception, and Control” (24–29 November 2025)
  4. Innovative Prompt Engineering for Effective Human-AI Collaboration (22–27 December 2025).
  5. Faculty Development Programme (FDP) on “Generative AI Essentials: A Deep Dive into Theory and Practice” (22–27 July 2024).
  6. Faculty Development Programme (FDP) on “Empowering the Future of AI with Quantum Computing: Insights and Applications” (23–28 December 2024).
  7. Guest Lecture on “OOP Through Java” (12 November 2024)

FDP’s

  1. One-Week Programme on “Intellectual Property Facilitating Centre (IPFC)” (15–19 September 2025)
  2. One-Week Programme on “Empowering the Future of AI with Quantum Computing: Insights and Applications” (23–28 December 2024)
  3. One-Week Programme on “Skill Development Program on Research and Publications” (16–20 December 2024)
  4. One-Week Programme on “Quantum Communication: Foundation, Algorithms, and Practical Applications” (9–15 December 2024)
  5. One-Week Programme on “Innovative Applications of Mathematics” (18–23 November 2024)
  6. One-Week Programme on “Latest Tools & Trends in Artificial Intelligence” (11–16 November 2024)
  7. One-Week Programme on “Recent Trends and Predictions in Cyber Security” (11–16 November 2024)
  8. One-Week Programme on “Exploring Emerging Frontiers in Generative AI and Quantum Computing” (22–27 September 2024)
  9. One-Week Programme on “Artificial Intelligence & Data Analytics” (16–20 September 2024)
  10. One-Week Programme on “Generative AI Essentials: A Deep Dive into Theory and Practice” (22–27 July 2024)

Workshops

  1. Workshop on “Introduction to Machine Learning for Cyber Security” (24 December 2024)
  2. Workshop on “Research Paper Writing and Publishing” (23 September 2024)

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  • Training co-ordinator
  • Project co-ordinator
  • NPTEL co-ordinator
  • Course File In charge