Dr. VAMSIDHAR YENDAPALLI

About

Total 21 years of experience in academics, and 2 years of experience in the IT industry. My research domains are Software Engineering, Health Care, and Agriculture. My qualifications are B.E., M.Tech, and Ph.D. in Computer Science and Engineering. Presently working as a Professor and Head of the CSE department, GITAM, Bengaluru.

Employment

• GITAM Professor and Head
  2020 - Present
• NADIMPALLI SATYANARAYANA RAJU INSTITUTE OF TECHNOLOGY PRINCIPAL / PROFESSOR
  2018 - 2019
• Swarnandhra College of Engineering and Technology HEAD OF DEPARTMENT / PROFESSOR
  2009 - 2018
• PROTEAM LLC SOFTWARE ENGINEER
  2007 - 2009
• RVR and JC College of Engineering ASSISTANT PROFESSOR
  2002 - 2007
• Sir C R Reddy Educational Institutions LECTURER
  1999 - 2002

Education

• GITAM University Ph.D. IN COMPUTER SCIENCE AND ENGINEERING
  2010 - 2014
• RVR and JC College of Engineering M.Tech. in COMPUTER SCIENCE AND ENGINEERING
  2003 - 2005
• VIJAYANAGAR ENGINEERING COLLEGE B.E.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Women Infertility: A Systematic Review of Effects and Causes
  SN Computer Science 2022 DOI: 10.1007/s42979-022-01510-5
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• Compact Modeling of Schottky Gate-all-around Silicon Nanowire Transistors with Halo Doping
  Silicon 2022 DOI: 10.1007/s12633-020-00936-x
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• Surface roughness estimation techniques for drilled Surfaces: A review
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2021.10.496
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• COVID-19: spreading possibilities of human–animal–human and preventive measures
  Journal of Health Research 2021 DOI: 10.1108/jhr-09-2020-0390
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• Delay and Energy-Aware Forwarder Selection in Wireless Sensor Network
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4687-1_44
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• Prediction of covid-19 possibilities using knearest neighbour classification algorithm
  International Journal of Current Research and Review 2021 DOI: 10.31782/IJCRR.2021.SP173
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• Binary cross entropy with deep learning technique for image classification
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/175942020
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• Integrating sift features with multivariate gaussian distribution to enhance cbir performance
  International Journal of Emerging Trends in Engineering Research 2020 DOI: 10.30534/ijeter/2020/15892020
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• Performance comparison of retry and n-copy software fault tolerance techniques
  International Journal of Emerging Trends in Engineering Research 2020 DOI: 10.30534/ijeter/2020/42892020
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• Performance improvement in CBIR using region weight learning approach
  International Journal of Emerging Trends in Engineering Research 2020 DOI: 10.30534/ijeter/2020/154872020
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