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Home » Faculty » Dr. Lakshmi Prasanna Kothala
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Dr. Lakshmi Prasanna Kothala

Assistant Professor

Qualification:
B.Tech(ECE), M.Tech(ECE), Ph.D(ECE)

Professional Exp.:
7.8 Years

Registration Number:
4038-241206-105935

Email Address:
prasanna.kothala@aceec.ac.in

Mobile Number:
8247548568

About

Dr. Lakshmi Prasanna Kothala is an academician and researcher with 7.8 years of teaching and research experience in Electronics and Communication Engineering. She has contributed extensively to undergraduate and postgraduate education, specializing in Image Processing, Machine Learning, and Deep Learning.

Her research focuses on the design and implementation of advanced deep learning models for real-world applications, with significant work in medical image analysis, computer vision, and intelligent detection systems Her career demonstrates a strong balance between pedagogy and research innovation, bridging theory and practice, while consistently inspiring students and contributing to the academic community.

Educational Details

  • Ph.D (Electronics and Communication Engineering – ECE), Vignan’s Foundation for Science Technology and       Research, Guntur, May 2025.
  • M.Tech (Digital Electronics and Communication Systems – DECS), Narasaraopeta Engineering College, JNTUK, 2017. 
  • B.Tech (Electronics and Communication Engineering – ECE), Tirumala Engineering College, JNTUK, 2015.
  • INTERMEDIATE in MPC, Vasavi Junior College, Narasaraopet, 2011.
  • S.S.C Board of Secondary Education in Municipal High School, Narasaraopet, 2009.

Professional Background

  • Assistant Professor (December 2024 – till date) – ACE Engineering College, Dept. ECE, Ankushapur, Telangana, India
  • Research Scholar (December 2020 –– November 2024) – VFSTR University, Deep Learning and Computer Vision, Dept. ECE, Vadlamudi, Guntur, AP, India
  • Assistant Professor (May 2018 – November 2020) – Narasaraopeta Engineering College, Dept. ECE, Narasaraopet, Guntur, AP, India
  • Assistant Professor (March 2017 – April 2018) – Sai Tirumala NVR Engineering College, Dept. ECE, Jonnalagadda, Narasaraopet, AP, India

Core Subject Skills

Artificial Neural Networks, Machine Learning, Deep Learning, Microprocessor & Microcontrollers, Digital Logic Design, Digital Image Processing, Electronic Devices and Circuits, Signals and Systems, Analog, and Digital Communications.

Core Research Domains:

  • Image Processing
  • Artificial Intelligence and Machine Learning
  • Deep Learning and Computer Vision

Research Focus:

PhD Awarded on “Classification and Localization of Intracranial Hemorrhages through Deep Learning-based Optimization Algorithms”

Journals and Conferences:

  • Kothala, L.P., Guntur, S.R. TL-LFF Net: transfer learning based lighter, faster, and frozen network for the detection of multi-scale mixed intracranial hemorrhages through genetic optimization algorithm. Int. J. Mach. Learn. & Cyber. (2024). https://doi.org/10.1007/s13042-024-02324-y. (SCI, Impact Factor: 3.1)
  •  Kothala, L.P., Guntur, S.R. GEL-TTA Net: a Global ensemble learning network for the localization of small-scale and mixed intracranial hemorrhages through test time augmentations. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19393-4. (SCI, Impact Factor: 3.0)
  •  Kothala LP, Guntur SR. An efficient stacked bidirectional GRU-LSTM network for intracranial hemorrhage detection. Int J Imaging Syst Technol. 2023;1‐14. doi:10.1002/ima. 22958. (SCI, Impact Factor: 3.0)
  •  Lakshmi Prasanna Kothala, Prathiba Jonnala, Sitaramanjaneya Reddy Guntur. “Localization of mixed intracranial hemorrhages by using a ghost convolution-based YOLO network.” Biomedical Signal Processing and Control, 80(2) (2023), https://doi.org/10.1016/j.bspc.2022.104378. (SCI, Impact Factor:  4.9)
  •  L. P. Kothala and S. R. Guntur, “An efficient False Negative Reduction System for the Identification of Intracranial Hemorrhage,” 2022 International Conference on Futuristic Technologies (INCOFT), Belgaum, India, 2022, pp. 1-6, doi: 10.1109/INCOFT55651.2022.10094360. 
  •  L. P. Kothala and S. Reddy Guntur, “Multi-Class Classification of Intracranial Hemorrhages in a 3-Channel CT image by using a Transfer Learning based DenseNet121 model,” 2022 International Conference on Smart Generation Computing, Communication, and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-5, doi: 10.1109/SMARTGENCON56628.2022.10084153. 
  •  L. P. Kothala and S. R. Guntur, “Segmentation of Intracranial Hemorrhage through an EfficientNetB7-based UNET model,” 2022 International Conference on Smart Generation Computing, Communication and Networking, Bangalore, India, 2022, pp. 1-5, doi: 10.1109/SMARTGENCON56628.2022.10083730. 
  •  L. P. Kothala and S. R. Guntur, “An improved Mosaic Method for the Localization of Intracranial Hemorrhages through Bounding Box”, 5th International Conference on Cybernetics, Cognition, and Machine Learning Applications.
  •  L. Priya, K. Lakshmi Prasanna, M. Preethi, S. Aarthi and T. Monisha, “Novel design approach for treating Sinus Pain at Acupressure Points,” 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII), Chennai, India, 2021, pp. 1-5, doi: 10.1109/ICBSII51839.2021.9445176.

Conferences Participated:

  • Lakshmi Prasanna Kothala, Priya L.  A review on automatic classification and segmentation of intracranial hemorrhages. NCVSComs, VFSTR, Guntur, December 18-19, 2020, India.
  • Lakshmi Prasanna Kothala, Priya L, Guntur SR. Detection of Intracranial Hemorrhage by Using Deep Learning, International Conference on Advances in Signal Processing and Communications–2K21, Narasaraopeta Engineering College, Narasaraopet, July 23-24, 2021, India.
  • Lakshmi Prasanna Kothala. National-level conference on Transformation of Engineering Education over Decades-Its Future Scenario, Sai Tirumala NVR Engineering College, Narasaraopet, August 31, 2017.

Papers Reviewed:

  • Sensing and Imaging (Springer)
  • Biomedical and Signal Processing Control (Elsevier)
  • Qualified GATE Exam with a score of 330 Conducted by IIT Madras in 2018.
  • Udemy Course on Complete Data Science, Machine Learning, DL, NLP, Bootcamp,

 FDPs & Workshops Attended:

  • FDP on Recent Trends in IC Design Using Mentor Graphics EDA Tools approved by AICTE at Narasaraopeta Engineering College, from November 18-22, 2019.
  • FDP on Recent advancements in Image Processing & IOT approved by AICTE at Lingayas Institute of Technology and Management, from June 03-05, 2020.
  • FDP on Emerging Trends in Machine Learning for Biomedical Applications sponsored by AICTE at Narasaraopeta Engineering College, from July 29-August 10, 2019.
  • FDP on IoT Application Development using Advanced Processors by Mad Blocks Technologies Pvt. Ltd., Hyderabad, at Narasaraopeta Engineering College, from June 03-08, 2019.
  • FDP on Soft Computing Techniques & Applications conducted by E&ICT Academy NIT WARANGAL at Vignan’s Nirula Institute of Technology and Science for Women, Guntur, from May 13-18, 2019.
  • FDP on VLSI Chip Design Hands-on using Open-Source EDA conducted by E&ICT, July 08-12, 2019.
  • A Five Day FDP on Recent Trends & Applications in Biomedical Signal & Image Processing from 26/11/2018 to 30/11/2018 at NEC.
  • Workshop on Scilab Conducted by IITB, Narasaraopeta Engineering College, on May 04, 2019
  • Workshop on Image Classification using Deep Neural Networks, SSN College of Engineering, Kalavakkam, March 11-12, 2021.
  • Workshop on PCB design of Electronics Circuits, at Tirumala Engineering College, January 06-07, 2013.
  •  Workshop on AcceleroBotix conducted by Technophilia Systems, at Tirumala Engineering College, March 18-19, 2014.
  •  Presented a paper on concealed weapon detection using digital image processing, conducted by V.R. Siddhartha Engineering College, Vijayawada, from February 14-15, 2014.
  • A Short-term course on Recent Trends in Biomedical Instrumentation through ICT, sponsored by AICTE at Narasaraopeta Engineering College, from March 25-29, 2019.
  •  A Short-term course on Digital System Design through ICT, sponsored by AICTE at Narasaraopeta Engineering College, from January 28- February 01, 2019.
  • A Short-term course on Biomedical Signal Processing through ICT, sponsored by AICTE at Narasaraopeta Engineering College, from July 16-20, 2018.
  • A Short-term course on Wireless Propagation through ICT, sponsored by AICTE at Narasaraopeta Engineering College, from February 25- March 01, 2019.
  • Webinar on Comparison of Classical Machine Learning and Deep Learning at Narasaraopeta Engineering College, June 01, 2020.