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Faculty

Home Β» Faculty Β» Ms. T. Sindhuja
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Ms. T. Sindhuja

Assistant Professor

Qualification
M.Tech., B.Tech.,

About:

Thotapally Sindhuja is an Assistant Professor in the field of Computer Science and Engineering / Artificial Intelligence and Data Science. She holds an M.Tech background in Artificial Intelligence and Data Science from Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad. Her academic interests include Machine Learning, Artificial Intelligence, Python Programming and Data Science.

Her research experience includes working as a Research Intern at the PNT Lab, IIT Tirupati, where she worked on Agri Prognosis: An IoT and Machine Learning-Based Crop Recommendation and Plant Health Prediction System. The project focuses on applying machine learning techniques to agricultural data and integrating IoT sensor readings to support crop recommendation and plant health assessment.

She has research publication experience, including a paper published through IEEE in connection with the ICICIDS 2026 conference held at Shinawatra University, Thailand. Her technical interests include developing intelligent systems, applying machine learning to real-world problems, and exploring AI-driven solutions for agriculture and other practical domains.

Her professional interests focus on teaching excellence, applied research, student mentoring, innovative project development, and continuous learning in emerging technologies. She aims to help students build strong programming and analytical skills while encouraging them to connect theoretical concepts with practical applications.

Educational Details

  • M.Tech. β€” AI & DS, through TSPGECET, CBIT(OU) Hyderabad β€” 8.9, 2026.
  • B.Tech. β€” Computer Science & Engineering, VMTW (JNTU), Hyderabad β€” 7.1, 2023.
  • INTERMEDIATE β€” MPC, Narayana Junior College β€” 94%, 2019.
  • S.S.C., Dilsukhnagar Public School, Hyderabad β€” 8.7.

Professional Background

  • Assistant Professor, Department of CSE-Data Science, ACE Engineering College – October 2026

Core Research Domains:

  • Machine Learning
  • Artificial Intelligence
  • Iot-Based Intelligent Systems
  • Deep Learning

Β Projects:

  • Agri Prognosis: An Integration of IoT and ML for Crop Recommendation.
  • Online Voting System using Face Recognition.
  • Lost – Found Matcher.
  • Dynamic Reciprocol Authentication Protocol for Cloud Computing.

Β Ratifications:

  • Ratified as Assistant Professor by JNTUH in Department of Computer Science Data Science in October-2026

PUBLISHED PAPERS

  • Thotapally Sindhuja, β€œAgri Prognosis: An Integration of IoT and ML for Crop Recommendation,” Proceedings of the International Conference on Third International Conference on Innovations in Cybersecurity and Data Science (ICICIDS 2026), Shinawatra University, Thailand, 2026. Published through IEEE. DOI: 10.1109/ICICDS70526.2026.11604941

CONFERENCES AND WORKSHOPS ATTENDED:

  • β€œInternational Conference on ICICIDS 2026”,27th June 2026, International Conference held at Shinawatra University, Thailand. Research paper published through IEEE.

CERTIFICATIONS & TRAINING

  • Mathematical Biostatistics Bootcamp, completed on May 2020, Online Non-credit offered through Johns Hopkins University, Coursera.
  • How things Work: An Introduction to Physics, completed on May 2020, Online Non-credit offered through University of Virginia, Coursera.
  • AI for Everyone, completed on May 2020, Online Non-credit offered through DeepLearning.AI, Coursera
  • C Programming, completed on December 2022, Online Non-credit course offered through Programiz.
  • Cyber Security, completed on March 2023, Online Non-credit course offered through smartknower.
  • Introduction to SQL, completed on April,2024, Online Non-credit course offered through Simplilearn, SkillUP.
  • Data Science course, completed on September 2024, Online non-credit offered through Programming Hub.
  • Data Analysis with Python, completed on January 2026, Online non-credit offered through IBM SkillsBuild.
  • AI and ML course, completed on January 2026, Online Non-credit offered through IBM SkillsBuild.
  • Internship related to Agriculture, completed on March 2026, offline credit offered through IIT Tirupati Navavishkar I-Hub Foundation.