mpattisa@gitam.edu
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ORCiD
Dr. Manohar M Pattisapu is currently an Assistant Professor in the Department of Computer Science & Engineering in GITAM Deemed to be University, Visakhapatnam. He received PhD from JNTUK, Kakinada. He received his M.Tech from Andhra University, Visakhapatnam. He was qualified in UGC-NET, AP-SET in 2012. He was qualified in GATE in 2007. His active research areas of interest include Computer Networks, Ad hoc Networks, IoT, Cyber Security, Artificial Intelligence, Machine Learning.
Research Publications
- 1. “Taguchi Design of Experiments Approach to Find the Most Significant Factor of DYMO Routing Protocol in Mobile Ad Hoc Networks” i-manager's Journal on Wireless Communication Networks, 7(1), 1-11
- 2. “Improving the QoS Performance of DYMO Routing Protocol in Cognitive Radio Ad Hoc Networks”, i-manager’s Journal on Computer Science, 6(2),33-50
- 3. “Performance Analysis of Reactive Routing Protocols AODV, DYMO, DSR, LAR in MANETs”, March 2018 Volume 4 Issue 3, International Journal on Future Revolution in Computer Science & Communication Engineering (IJFRCSCE), PP: 01 – 07
- 4. Performance Enhancement of DYMO Routing Protocol in MANETs using Machine Learning Technique, 5th International Conference on Smart Computing and Informatics (SCI-2021), Telangana, India, September 2021.
- 5. Assessing the Energy Consumption of different communication technologies in IoT using CupCarbon Simulator, 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT), Visakhapatnam, November,2021
Ongoing Research Projects
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A non-invasive early cardiac arrest detection using multimodal learning techniques - Principal Investigator - GITAM : Research Seed Grants – Sanctioned - Oct 2023 – 3,00,000/-
Expertise
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Subject Matter Expert, Smart Gen Technologies, Visakhapatnam
Authored Books
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Internet of things implementation and challenges during COVID-19 in healthcare industries
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DOE to Identify the Most Important Factors to Enhance the Efficiency of Reactive Routing Protocols in MANETs
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Performance Enhancement of DYMO Routing Protocol in MANETs Using Machine Learning Technique
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Fake News Detection and Analysis Using Online Machine Learning Techniques
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Precision Agriculture Technologies for Smart Farming
