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Faculty

Home Β» Faculty Β» Mrs. Siva Lakshmaiah Thota
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Mrs. Siva Lakshmaiah Thota

Assistant Professor

Qualification
B.Tech., M.Tech.

Professional Exp.
14+ Years

Registration Number
6157-220621-114218

Email Address
sivalakshmaiah.thota@aceec.ac.in

Siva Lakshmaiah Thota is a dedicated and experienced academician with over 14 years of teaching experience in the field of Computer Science and Engineering. He has strong expertise in programming languages such as C, C++, Java, and Python, along with core subjects like Data Structures, Operating Systems, and Database Management Systems.

He is passionate about innovative teaching methodologies, student development, and curriculum design. His research interests include Machine Learning, Data Analysis, and Network Security. He has also contributed to research publications and patents, showcasing his commitment to academic excellence and continuous learning.

Educational Details:

  • M.Tech in Computer Science and Engineering from Lenora College of Engineering, JNTUK, Andhra Pradesh, completed in 2014
  • B.Tech in Computer Science Information Technology from Pragati Engineering College, Surampalem, JNTUK, Andhra Pradesh, completed in 2008

Professional Background:

  • Working as Assistant Professor, CSE Department, ACE Engineering College, Hyderabad from 04-03-2026 to present
  • Worked as Lecturer, CSE Department, SRM University, AP from 10-06-2024 to 19-02-2026
  • Worked as Assistant Professor in ACE Engineering College (An Autonomous Institution) from 13-06-2022 to 31-05-2024
  • Worked as Assistant Professor in VSM College of Engineering (Ramachandrapuram) from 2019 to May 2022
  • Worked as Assistant Professor in GVR&S College of Engineering (Guntur) from 2017 to 2019
  • Worked as Assistant Professor in VSM College of Engineering (Ramachandrapuram) from November 2013 to May 2017
  • Worked as Lecturer in Samhitha Degree College (Rajahmundry) from 2008 to May 2011

Subjects Taught:

  • Programming in C
  • C++
  • Core Java Programming
  • Python Programming
  • R Programming
  • Data Structures & Advanced Data Structures
  • Operating Systems
  • Database Management Systems
  • Software Engineering
  • Network Security and Cryptography

Core Research Domains:

  • Machine Learning
  • Quantum Computing and Quantum Machine Learning

Research Focus:

  • Focus on applying Machine Learning techniques in real-world applications such as medical data analysis, sentiment analysis, and intelligent systems.

Journals and Conferences:

  • Association Rule Analysis of Query Groups in Web 2.0 – International Journal of Research in Computer Science and Engineering

Patents:

  • Autonomous Delivery Robot and Method Thereof – Published on 26-08-2023
  • System for Evaluating Websites Based on User Opinions and Sentiments – Published on 27-10-2023
  • Machine Learning Based Cancer Disease Classification in Medical Imaging Data – Published on 11-04-2025

Certified Courses:

  • NPTEL Certification in Programming in Java – 84%
  • NPTEL Certification in Introduction to IoT – 87%
  • NPTEL Certification in Python for Data Science – 73%

FDPs & Workshops Attended:

  • One Week Professional Development Programme on β€œData Science Mastery” (05th Feb to 10th Feb, 2024), organized by Department of CSE – VNR Vignana Jyothi Institute of Engineering and Technology