Ph.D. Research Scholar

Bompelly Pranitha

Assistant Professor · AI & Healthcare Research · Ph.D. Scholar

Empowering future computer science professionals at Jyothishmathi Institute of Technology and Science. Dedicated to pushing boundaries in deep learning, clinical decision support systems, and next-generation agentic workflows.

Bompelly Pranitha

About Me

Bompelly Pranitha is an Assistant Professor in Computer Science and Engineering and a Ph.D. research scholar with a sustained record of professional development spanning 2020–2026. Her work spans foundational digital-transformation training through advanced Faculty Development Programs (FDPs) in Artificial Intelligence, Machine Learning, Generative and Agentic AI, Cloud Computing, Computer Vision, NLP, Quantum Computing, and research methodology, conducted by institutions including IIT Madras, NIT Warangal, VIT Chennai, SR University, ExcelR, ICT Academy, and IEEE.

Core Research Focus & Interests

Artificial Intelligence Machine Learning Deep Learning Data Science Clinical Decision Support Systems Healthcare AI Computer Vision Natural Language Processing Bio-Epidemiology Cloud Computing Quantum Computing

IIT Madras NPTEL Certification

Distinguished Achievement

Machine Learning for Engineering and Science Applications

Advanced 12-week certification designed to bridge mathematical ML theory with heavy industrial, physical science, and biomedical computer science applications.

  • Institution: IIT Madras / NPTEL-SWAYAM
  • Duration: 12 weeks (Jan–Apr 2026) · 4 Recommended Credits
  • Roll Number: NPTEL26CS76S458000069
  • Total Batch Graduates: 1,589 Certified Candidates
65%
Consolidated Score
24.38
/ 25
Assignment Score
40.76
/ 75
Proctored Exam

Professional Development Timeline

Skills & Technical Competencies

Artificial Intelligence & ML

AI Fundamentals Cognitive Computing Generative AI Agentic AI Intelligent Systems Supervised Learning Unsupervised Learning Neural Networks Regression & Classification

Data Science & NLP

Data Analytics Power BI Tableau Data Visualization NLP Large Language Models Text Analytics Computer Vision Image Analysis

Cloud & Emerging Tech

Google Cloud Platform Cloud Architecture Cloud Infrastructure Blockchain Web3 Quantum Computing IoT Networks 5G Integration

Research Competencies

Bibliometric Analysis Literature Review Scientific Writing Publication Strategy AI-assisted Research Research Gap Analysis

Sub-Skill Density by Domain

Academic Learning Metrics

0
Total Activities
0
Faculty Dev Programs (FDPs)
0
Webinars (2020)
0
National Workshops

Program Distribution

Total Learning Volume

90+

Contact Learning Hours

Including a graduate-level 12-week NPTEL–AICTE course by IIT Madras

Growth Narrative & Trajectory

"Beginning in 2020, she built a foundation through national webinars on AI, Machine Learning, Cloud Computing, Data Structures, Digital Transformation, Design Thinking, Entrepreneurship, and Industry 4.0. In 2025, she moved into advanced Faculty Development Programs covering Blockchain, Web3, Data Analytics, Computer Vision, NLP, Generative AI, Agentic AI, Cloud Computing, and Quantum Computing. In 2026, her focus shifted to Agentic AI, AI-assisted research methodology, bibliometric analysis, and a 12-week NPTEL–AICTE certification from IIT Madras in Machine Learning for Engineering and Science Applications."

Contact Information

Open for discussions on healthcare AI, clinical decision support algorithms, and research collaborations. Feel free to reach out via institutional channels.

WhatsApp Number

+91 99666 91663

Institutional Address

Department of Computer Science and Engineering,
Jyothishmathi Institute of Technology and Science,
Karimnagar, Telangana, India

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