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Faculty

Home ยป Faculty ยป Dr. Srujan Vannala
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Dr. Srujan Vannala

Assistant Professor

Qualification
B.Tech (IT), M.Tech (SE), Ph.D

Professional Exp.
13 years

Registration Number
0191-170112-094836

Email Address
dr.srujanvannala@aceec.ac.in

About

Dr. Srujan Vannala is a qualified professional with 13 years of teaching experience in the field of Computer Science and Engineering. He has contributed to engineering education through his dedicated efforts in teaching, mentoring, and research. He has actively engaged in delivering quality lectures, guiding students in projects and career development. His contributions extend to organizing seminars, workshops, and technical events that enhance student learning beyond the classroom.

Over the years, he has made significant contributions to undergraduate education, particularly in specialized areas such as Machine Learning and Database Management Systems.

Educational Details

  • Ph.D. in Computer Science & Engineering,
    Chaitanya Deemed to Be University, Hyderabad (2021โ€“2026)
  • M.Tech (Software Engineering),
    Jayamukhi Institute of Technology & Science, Warangal (2012โ€“2014)
  • B.Tech (Information Technology),
    Ganapathy Engineering College, Warangal (2005โ€“2009)
  • SSC,
    Platinum Jubilee High School, Warangal (2001)

Professional Background

  • Working as Assistant Professor at ACE Engineering College,
    Hyderabad from June 2026 to Present.
  • Worked as Assistant Professor at Chaitanya Institute of
    Technology & Science from August 2013 to May 2026.
  • Worked as Placement Officer at Chaitanya Deemed to Be University
    from June 2020 to May 2026.

Subjects Taught

  • Database Management Systems
  • Software Engineering
  • Data Mining & Data Warehouse
  • Software Testing
  • Unified Modelling Language (UML)
  • Machine Learning

Core Research Domains:

  • Artificial Intelligence and Machine Learning

Research Focus:

  • Domain: Stock Market
  • Technology: Machine Learning

Journals and Conferences:

  • Title: Evaluation of efficiency of Database Systems Used for IoT Applications-Review, ISSN: 2660-5317
  • Title: Study on Applications of SQL and Not only SQL Databases used for Big Data Analytics ISSN (O) :- 2349-3585
  • Title: IOT based Smart Security And Home Automation ISSN: 0377-9245
  • Title: Use of Artificial Neural Networks To Identify Fake Profiles ISSN: 0377-9254
  • Title: Machine learning based Breast cancer classification using logistic regression and Random forest (Research square)
  • Predicting the Unpredictable: A Study on the Challenges and Advances in Stock Market Forecasting(SSRN)
  • Title: Research on How LSTM Algorithm Works to Predict the Stocks(http://dx.doi.org/10.2139/ssrn.5002657)
  • Title: A Frame work Using Machine Learning To Predict Behavior Of Customers With Business Intelligence ISSN: 2147-6799
  • Member of ICCISD 2022 & 2023(International Conference on Computational Intelligence and Sustainable Development) of CDU(Chaitanya Deemed to be University)
  • Received excellence in placement Award in 2025

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FDPs & Workshops Attended:

  • Attended Oracle workshop at KITS Warangal in the year 2016 june.