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Dontha MadhuSudhana Rao

Assistant Professor (OC), School of Computing ,Amaravati

Qualification: M.Tech.
d_madhusudhanarao@av.amrita.edu
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Research Interest: Data Science, Image Processing, Medical Imaging Analysis

Bio Publications FDP / Workshops Awards/Certifications Conferences Attended
Bio

I am Dontha Madhusudhana Rao, and I worked as an assistant professor in various preeminence organizations like Vignan’s University, Guntur and SRK Institute of Technology, Vijayawada. I had a total of 8+ years of experience in teaching. Currently, I am pursuing my PhD at NIT-Silchar, Assam. I did my MTech at Acharya Nagarjuna University, Guntur.

Publications

Journal Article

Year : 2023

Diabetes mellitus prediction using ensemble machine learning techniques

Cite this Research Publication : DMS Rao, Sridatri , Diabetes mellitus prediction using ensemble machine learning techniques, ITM Web of Conferences, 2023.

Year : 2023

Image-Based Disease Detection and Classification of Plant Using CNN

Cite this Research Publication : Madhusudhana Rao Dontha ,Nalagatla Sri Supriyanka , Image-Based Disease Detection and Classification of Plant Using CNN, Mobile Radio Communications and 5G Network, 2023.

Publisher : Springer

Year : 2021

Recognition of Fetal heart diseases through machine learning techniques

Cite this Research Publication : Dr. Lokaiah Pullagura, Madhusudhan Rao Dontha, Srinivasarao Kakumanu, Recognition of Fetal heart diseases through machine learning techniques,Annals of the Romanian Society for Cell Biology, 2021.

Year : 2020

A review on different handheld devices operating systems

Cite this Research Publication : Gayathri, T., Rao, D.M., Sudheer, B.N., Sarada, K, A review on different handheld devices operating systems,Journal of Critical Reviews, 2020

Year : 2020

Detection Process for Disease Recognition of Paddy Crop using Deep Learning

Cite this Research Publication : Sudheer, B.N., Sarada, K., Rao, D.M, Detection Process for Disease Recognition of Paddy Crop using Deep Learning, Indian Journal of Ecology, 2020, 47, pp. 197–201.

Year : 2020

Hyper spectral imaging technology for seed quality identification

Cite this Research Publication : DM Rao, BN Sudheer, K Sarada, A Ramarao, Hyper spectral imaging technology for seed quality identification , Indian Journal of Ecology, 2020

FDP / Workshops
  1. Five Day FDP on Ethical Hacking, Blackbuck Engineers and Dept. Of IT&CSE, KKR &KSR Institute of Technology and Sciences 27-2-23 to 3-3-23
  2. Five Day Workshop on DevOps for Beginners School of Computer Science and Engineering (SCOPE) VIT-AP University 21-3-22 to 25-3-22
  3. ATAL Academy Online FDP on “Artificial Intelligence” Govt. Women’s Polytechnic College, Thrissur 2020-9-14 to 2020-9-18
  4. ATAL Academy Online FDP on “Data Sciences” JNTU-K University College of Engineering(A) 2020-10-5 to 2020-10-9
  5. ONE Week FDP on Deep Learning and Applications E&ICTAcademy, MNIT Jaipur & Department of IT, VFSTR 9-12-19 to 13-12-19
  6. DST sponsored 3-day workshop on Internet of Things Department of IT, VFSTR Deemed to be University 30-8-19 to 1-9 -19
  7. DST sponsored 5-day workshop on Cyber Security, Crypt Analysis and Security for Physical infrastructure” Department of IT, VFSTR Deemed to be University 20-24th June 2019
  8. TEN days Faculty Orientation Program (FOP) VFSTR Deemed to be University 05-16th July
  9. ONE Week FDP on Machine Learning: Recent Trends & Applications E & ICT Academy, NIT Warangal & Department of CSE, VLTS 29th Aprial-4th May 2018
  10. ONE-week National Level FDP on “Cyber Security and Forensics” Department of CSE Shri Vishnu Engineering College for Women, Bhimavaram 16-20th August 2016
  11. ONE week FDP 0n “Instructional Design Delivery System” The National Institute of Technical Teachers Training and Research (NITTTR) Chennai 1st-6th August 2016
  12. Five-day Faculty Development Program (FDP) on “Data Mining Tools Department of CSE SRK Institute of Technology, VJY 10th December –15th 2015
Awards/Certifications
  1. Certified as a National Programme on Technology Enhanced Learning(NPTEL) in OPERATING SYSTEMS.2017
  2. Certified as a National Programme on Technology Enhanced Learning(NPTEL) in DATABASE MANAGEMENT SYSTEMS.2018
  3. Certified as a National Programme on Technology Enhanced Learning(NPTEL) in MACHINE LEARNING ML.2019
  4. Certified as a National Programme on Technology Enhanced Learning(NPTEL) in JOY OF COMPUTING USING PYTHON.2019
  5. Certified as a National Programme on Technology Enhanced Learning(NPTEL) in Practical Machine Learning With Tensorflow .2020
Conferences Attended
  1. A Comparative Study on Different Machine Learning Algorithms for Object Detection in National Conference on Recent Advances in Information Technology (NCRAIT-20) organized by VFSTR Deemed to be University, Vadlamudi during 11–12 December 2020
  2. Detection of Lung Cancer Using Image Processing Techniques in National Conference on Applications of IOT & Deep learning NCAID_2k22 organized by the Department of IT, ANITS during April 29-30th 2022
  3. Image Based Disease Detection and Classification of Plant using CNN International Conference on Mobile Radio Communications & 5G Networks, (MRCN-2022) organized by University Institute of Engineering & Technology, Kurukshetra University from 5th-6th August 2022
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