Academics > Departments

Information Technology (IT)

Dr. M. Bhanu Ranga Rao

Assistant Professor |

Ph.D: CSE, Saveetha University-2025
M.Tech: CSE, Swarnandhra College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada-2019
B.Tech: IT, Swarnandhra College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada-2011
Teaching Experience : 6 Years
Industry Experience : 4 Years
SVECW Employee ID : 1260
AICTE Registration ID : 1-73992218974

  • Machine Learning
  • Dr. Bhanurangarao M., and Meduri Raghu Chandra. “Sentiment Analysis and Population-Based Optimization for Estimating Human Lifespan Using Daily Activities.” 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024 – Proceedings, Institute of Electrical and Electronics Engineers (IEEE), Nov. 2024. https://doi.org/10.1109/I-SMAC61858.2024.10714802
  • Dr.P. Bhanurangarao. Automatic Multiple-Choice Question and Answer (MCQA) Generation Using Deep Learning Model. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2746-3_1
  • Mamillapalli Chilaka Rao, P. Sreedhar, M. Bhanurangarao & G. Sujatha, Automatic Multiple-Choice Question and Answer (MCQA) Generation Using Deep Learning Model, Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing , , Cognitive Science and Technology book series (CSAT), https://doi.org/10.1007/978-981-99-2746-3_1
  • Urban Object Detection in UAV Imagery for Healthcare Applications: Leveraging the Internet of Things (IoT) in Smart Cities for Enhanced Urban Healthcare Monitoring and Management, Bhanurangarao,  M. Mahaveerakannan, R.2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023, 2023, pp. 607–612.
  • Automatic Multiple-Choice Question and Answer (MCQA) Generation Using Deep Learning Model ,M.C.Sreedhar, P., Bhanurangarao, M.Sujatha, G.Cognitive Science and Technology This link is disabled., 2023, Part F1493, pp. 1–8
  • Completed 12 Weeks  course on ” Programming in Java ” IIT Kharagpur, Jan-Apr 2024
  • Introduction to Machine Learning from IIT Madras(12 week course)
  • Deep Learning from IIT Madras(12 week course)
  • Digital Image Processing from IIT Kharagpur (12 week course)
  • Data Science for Engineers from IIT Madras(8 week course)
  • Participated  in online FDP on ” Machine Learning Applications for Engineers”” Conducted by Chaitanya Bharathi Institute of Technology, Hyderabad in Technical Association with ACM Hyderabad Deccan Chapter. From 03.06.2024-07.06.2024.

  • Attended the 5 day fdp on ” Power of Visualization in Analytics”, Organized by BVRIT, Hyderabad, from 16.08.2023-21.08.2023
  • Participated in the One Week National Level FDP on ” Cloud Infrastructure (AWS)” Organized by Pragati Eng. College, Surampalem in collaboration with Brainovision Solutions Pvt Ltd & AICTE from 21.08.2023-25.08.2023
  • Participated 5-Day Faculty Development Program organized by Star International Foundation for Research and Education on SPSS IN RESEARCH during 26.12.2023 to 30.12.2023.
  • Participated 5-Day Faculty Development Program organized by Cyber Security and Data Science on Data Science and Its Applications ,Bapatla Engineering College during 7th – 9th August, 2023
  • Participated 5-Day Faculty Development Program organized by IT,CSE,CSE(AI&ML), BVRIT HYDERABAD College of Engineering for Women on Power of Visualization in Analytics
  • Participated 5-Day Faculty Development Program organized by Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad on Artificial Intelligence and Machine Learning
  • Participated 5-Day Faculty Development Program organized by Indore Institute of Management & Research, Indore (M.P) on Introduction to Data Analytics Using R: Hands on Approach
  • Participated Faculty Development Program organized by Department of Computer Science and Engineering, Ramachandra College of Engineering, Eluru on Artificial Intelligence and its Applications
  • Participated Faculty Development Program organized by Swarnandhra College Of Engineering & Technology In Association With Indian Servers on Cyber Security
  • A patent published titled “System and Method for Intelligent Network Traffic Management Using AI-Based Routing Algorithms” as an inventor on 18.10.2024 with Application no: 202441075551
  • A patent published titled “Method for Secure Cloud Data Storage with Multi-Factor Authentication and AI Monitoring” as an inventor on 18.10.2024 with Application no: 202441075561.
  • Mr. M. Bhanurangarao,  “Machine Learning-Augmented Blockchain-Based Graphene Field-Effect Transistor Sensor Platform for Biomarker Detection.” Field Effect Transistors, Wiley, Mar. 2025, https://doi.org/10.1002/9781394248.
  • Author of the textbook Published books INTRODUCTION TO DATA SCIENCE AND R PROGRAMMING publisher Shree Publishing House ISBN: 978-93-88196-94-9 with Publish year 2024