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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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Scopus Author ID
Research Interest: Data Science, Image Processing, Medical Imaging Analysis

Bio Publications FDP / Workshops Awards/ Certifications Conferences
Bio

Dontha Madhusudhana Rao currently worked as an Assistant Professor in various preeminence organizations like Vignan’s University, Guntur and SRK Institute of Technology, Vijayawada. He had a total of 10+ years of experience in teaching. Currently, he is pursuing my PhD at NIT-Silchar, Assam. Madhusudhana Rao did his M. Tech. at Acharya Nagarjuna University, Guntur.

Publications

Book Chapter

Year : 2025

Industry 4.0 and Computational Intelligence for Fighting COVID-19

Cite this Research Publication : Lokaiah Pullagura, Biswajit Brahma, R. S. M. Lakshmi Patibandla, Dontha Madhusudhana Rao, Siva Kumar Gowda Katta, Ronald Chiwariro, "Industry 4.0 and Computational Intelligence for Fighting COVID-19 A Case Study", Book: Computational Intelligence in Industry 4.0 and 5.0 Applications. 1st Edition, Auerbach Publications, 2025.

Publisher : Auerbach Publications

Year : 2025

Bridging the gap: Understanding genetic discoveries through explainable artificial intelligence

Cite this Research Publication : R.S.M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul, "Bridging the gap: Understanding genetic discoveries through explainable artificial intelligence," Deep Learning in Genetics and Genomics, Pages 301-311, Elsevier, 2025, https://doi.org/10.1016/b978-0-443-27523-4.00021-4

Publisher : Elsevier

Year : 2024

Swarm Intelligence for Optimization: A Bee’s-Eye View on Multi-objective and Dynamic Challenges

Cite this Research Publication : R. S. M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul, "Swarm Intelligence for Optimization: A Bee’s-Eye View on Multi-objective and Dynamic Challenges", Springer Tracts in Nature-Inspired Computing, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-7344-2_3

Publisher : Springer Nature Singapore

Conference Paper

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 Conf., Volume 56, 2023, First International Conference on Data Science and Advanced Computing (ICDSAC 2023)

Publisher : ITM Web Conf.

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, Lecture Notes in Networks and Systems, vol 588. Springer, Singapore. https://doi.org/10.1007/978-981-19-7982-8_22

Publisher : Springer

Journal Article

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, Volume 7, Issue 9, Pages 997 - 10012020

Publisher : Journal of Critical Reviews

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.

Publisher : Indian Journal of Ecology

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, Volume : 47, Issue : 3, 2020

FDP / Workshops
  • 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
  • Five Day Workshop on DevOps for Beginners School of Computer Science and Engineering (SCOPE) VIT-AP University 21-3-22 to 25-3-22
  • ATAL Academy Online FDP on “Artificial Intelligence” Govt. Women’s Polytechnic College, Thrissur 2020-9-14 to 2020-9-18
  • ATAL Academy Online FDP on “Data Sciences” JNTU-K University College of Engineering(A) 2020-10-5 to 2020-10-9
  • ONE Week FDP on Deep Learning and Applications E&ICTAcademy, MNIT Jaipur & Department of IT, VFSTR 9-12-19 to 13-12-19
  • DST sponsored 3-day workshop on Internet of Things Department of IT, VFSTR Deemed to be University 30-8-19 to 1-9 -19
  • 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
  • TEN days Faculty Orientation Program (FOP) VFSTR Deemed to be University 05-16th July
  • ONE Week FDP on Machine Learning: Recent Trends & Applications E & ICT Academy, NIT Warangal & Department of CSE, VLTS 29th Aprial-4th May 2018
  • ONE-week National Level FDP on “Cyber Security and Forensics” Department of CSE Shri Vishnu Engineering College for Women, Bhimavaram 16-20th August 2016
  • ONE week FDP 0n “Instructional Design Delivery System” The National Institute of Technical Teachers Training and Research (NITTTR) Chennai 1st-6th August 2016
  • Five-day Faculty Development Program (FDP) on “Data Mining Tools Department of CSE SRK Institute of Technology, VJY 10th December –15th 2015
Awards/ Certifications
  • Certified as a National Programme on Technology Enhanced Learning (NPTEL) in OPERATING SYSTEMS.2017
  • Certified as a National Programme on Technology Enhanced Learning (NPTEL) in DATABASE MANAGEMENT SYSTEMS.2018
  • Certified as a National Programme on Technology Enhanced Learning (NPTEL) in MACHINE LEARNING ML.2019
  • Certified as a National Programme on Technology Enhanced Learning (NPTEL) in JOY OF COMPUTING USING PYTHON.2019
  • Certified as a National Programme on Technology Enhanced Learning (NPTEL) in Practical Machine Learning with TensorFlow .2020
Conferences
  • 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
  • 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
  • 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.
  • A Study of Suspicious E-Mail Detection Techniques
  • L Pullagura, DM Rao, NV Kumari, RK Lanke… – 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things4-6 Jan. 2024 (IDCIoT)
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