Basic Details

  • Full Name : Mr. Ram Mohan Rao P
  • Designation : Associate Professor (Computer Science and Engineering)
  • Edu. Qualification : M Tech, (Ph.D)
  • Specialization :
  • Total Experience : 17 Years
  • JNTUH ID : 75150402-170436
  • AICTE ID : 1-474443119
  • E-Mail : rammohanrao@sphoorthyengg.ac.in

Teaching Experience

  • 17 Years

Publications

  • Rao, P. Ram Mohan, et al. "Impact of Active Learning in Engineering Education." 2018 IEEE 6th International Conference on MOOCs, Innovation and Technology in Education (MITE). IEEE, 2018.
  • Rao, P. Ram Mohan, S. Murali Krishna, and AP Siva Kumar. "Privacy preservation techniques in big data analytics: a survey." Journal of Big Data 5.1 (2018)
  • Rao, P. Ram Mohan, S. Murali Krishna, and AP Siva Kumar. "Novel algorithm for efficient privacy preservation in data analytics." (2021).
  • Kumar, G. Kiran, V. Radhika Devi, and A. Rama Chandra Reddy. "Embracing disruption in engineering education." Procedia Computer Science 172 (2020): 973-978.

Presentations in International Conferences

  • Rao, P. Ram Mohan, S. Murali Krishna, and AP Siva Kumar. "A case study on privacy threats and research challenges in privacy preserving data analytics." Electronics, Communication and Aerospace Technology (ICECA), 2017 International conference of. Vol. 2. IEEE, 2017.

Participation in Workshops / Conferences

  • Completed NPTEL MOOC certification in Deep Learning in November 2018 with ELITE Grade
  • INFOSEC 2013two day conference on Information security awareness conducted by C-DAC
  • Attended workshop Communication for Academia in December 2012 organized by SSIM
  • Attended WEEF 2019 conference and published a paper in ELSEVIER
  • Attended workshop on NPTEL and Classle.net organized by NIT WARANGAL in August 2012
  • Attended two week Big Data Hadoop FDP in May 2017
  • Ethical Hacking Workshop at MLRIT in March 2010 organized by Techniche (IIT Guwahati)

Faculty development programs attended

  • Attended AI and ML FDP at NIT Warangal in June 2018
  • Attended two week Big Data Hadoop FDP in May 2017
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