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đŸ”„ B.Tech. I YEAR I & II Semester Academic Calendar A.Y: 2026-27 11 Aug 2026
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Faculty

Home » Faculty » Dr. S. Leela Krishna
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Dr. S. Leela Krishna

Assistant Professor

Qualification
B.Tech, M.Tech, Ph.D

Professional Exp.
8 Years

Registration Number
3529-160527-13103

Email Address
dr.leelakrishna@aceec.ac.in

About:

Dr. S. Leela Krishna is a dedicated Computer Science faculty with extensive experience aiming to apply and expand his technical and pedagogical skills. He has strong expertise in C programming, C++ (OOP), Python, and computer networks. He has effectively handled laboratories including IT Workshop, OOPS through C++ and Java, DS through C, and C Programming, and emphasizes practical, project‑based learning to develop students’ problem‑solving and industry‑ready abilities.

Educational Details

  • Ph.D in Computer Science and Engineering from Anna University, Chennai. Completed in May, 2023.
  • M-TECH in Computer Science & Engineering from ADITYA COLLEGE OF ENGINEERING affiliated to JNTUK UNIVERSITY, KAKINADA completed in the Year of 2015.
  • B-TECH in Information Technology from SWARNANDHRA INSTITUTE OF ENGINEERING and TECHNOLOGY affiliated to JNTUK UNIVERSITY, KAKINADA, during the year 2008 to 2012.

Professional Background

  • Working as Assistant Professor in the Department of Computer Science & Engineering (Data Science) at ACE Engineering College, Ankushapur, from May 2026 to present.
  • Worked as an Associate Professor in the Department of Computer Science and Engineering at Teegala Krishna Reddy Engineering College, Meerpet, LB Nagar, from June 2025 to the May 2026.
  • Worked as Assistant Professor & HOD of CSD in St. Martin’s Engineering College, Kompally, Secunderabad, from November 2024 to June 2025.
  • Worked as Assistant Professor in Sri Indu Institute of Engineering & Technology, Ibrahimpatanam, Hyderabad, from June 2023 to October 2024.
  • Worked as Assistant Professor in Sri Indu Institute of Engineering & Technology, Ibrahimpatanam, Hyderabad, from October 2015 to May 2019.

 Subjects Taught:

  • C Programming
  • Computer Networks
  • Python Programming
  • OOPs through C++
  • Data Structures through C
  • Deep Learning
  • FLAT

Core Research Domains:

  • Artificial Intelligence and Machine Learning
  • Image Processing
  • Computer Networks & Security

Research Focus:

  • PhD Awarded on:” Development of Deep Learning Neural Network classifier models for Hyperspectral Image classification”.

Journals and Conferences:

  • Leela Krishna, SL, Jeya, IJS& Deepa, SN, 2022. “Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification”. Neural Computing and Applications, Springer, vol. 34, issue 27, pp.19343-19376. Impact Factor: 5.102.
  • vignesh, ayenrappanshanmuga & I, Jasmine & Krishna, Sanaboina & V, Niranjani. (2022). “Deep Learning Techniques for Removing Noise in Iot Imaging for Optimized Face Recognition”. International Journal of Intelligent Networks
  • Balakrishna, Chinnala & Krishna, Sanaboina. (2025). An Intelligent Adaptive Hybrid Learning-based Detection Framework to Evade DDoS Attack for Secure Virtualized Infrastructures in Cloud Computing Environment. Optik. 346. 172641. 10.1016/j.ijleo.2025.172641.
  • Elangovan G, Dr. Sanaboina Leela Krishna, Dhanalakshmi R, Prisca Mary. J, Viswanathan Ramasamy Reddy, Dr. T. Vengatesh, (2025) Comprehensive Cloud Solution for Secure Text Transmission: Enhancing Privacy and Integrity in Digital Communication. Journal of Neonatal Surgery, 14 (15s), 32-45.
  • Srinivasan A, V. Sasirekha VS, Leela Krishna S, Ramasamy Reddy V, Vengatesh T (2025). Deep Learning for Plant Species Classification. Journal of Neonatal Surgery, 14 (15s), 14-21.
  • Sanaboina Leela Krishna, and I. Jasmine Selvakumari Jeya. “Removal of Noises in IOT Based Imaging for Optimized Face Recognition.” Design Engineering(2021): 5953-5965.
  • S Leela Krishna,G Ramanjaneya Raju, “Search Me If You Can Privacy Preserving Location Based System” -2014.(IJETT-2014)
  • Chakravarthy, G. & Krishna, Sanaboina & Nakkella, Madhuri & Srinivas, S. & K, Naresh. (2025). An effective Face Emotion Recognition using Augmented Physics Informed Neural Networks with Leaf in Wind Optimization. 1-9. 10.1109/INCET64471.2025.11140977.
  • Sultana, Ijteba & Bari, Abdul & Krishna, Sanaboina & Deepika, G. & Balakrishna, Chinnala. (2025). Enhancing Personalized Learning Pathway in Higher Education Using Conv-BiGRU with Attention Mechanism. 1-8. 10.1109/INCSST64791.2025.11210357.

Patents:

  1. Published Patent on “Smart Farming: IOT-Based Automated Irrigation System For Sustainable Agriculture Using AI” (Oct 2023)

FDPs & Workshops Attended:

  • NPTEL FDPs on Cloud Computing, IOT, JAVA
  • Participated FDP on Advanced Signal Processing, Communications using AI and ML Techniques(March 2022)
  • Participated FDP on Recent Trends in Artificial Intelligence, IoT, and Data Analytics(February 2022)
  • Participated FDP on Recent Advances in Biomedical Applications and Communication Networks(July 2020)
  • Participated FDP on Python