Name of the faculty




Associate Professor

Date Of Joining




Responsibility in Committees

1       Academic  Committee member

2       Time Table Committee Coordinator

3       Counseling Committee member

4       MOOC’s Coordinator

5       Cultural Organizing Member In Horizon 2k15 


1       2019-20[1st &2nd  Sem]: 18 Members[2016 admitted Batch] 

2       2018-19[1st &2nd  Sem]: 18 Members[2015 admitted Batch] 

3       2017-18[1st &2nd  Sem]: 15 Members[2014 admitted Batch] 

4       2016-17[1st &2nd  Sem]: 20 Members[2013 admitted Batch] 

5       2015-16[1st &2nd  Sem]: 15 Members[2013 admitted Batch] 

6       2014-15[1st &2nd  Sem]: 16 Members[2011 admitted Batch] 

Courses handled/List of Instructional materials prepared

Courses handled:

1       Hadoop and Bigdata

2       Design and Analysis Algorithm

3       Cloud Computing

4       PPS Using C

5       Compiler Design

6       Formal Languages & Automata Theory

7       Software Project Management.

Course Files Prepared:

1       Cloud Computing

2       Design and Analysis Algorithm

3       PPS Using C

4       Hadoop and bigdata

Lab Manuals:

1       PPS Using C Lab

2       DWDM Lab Manual

Innovative T/L methodologies

 Used 10 Different Teaching Methodologies

1       White Board and Marker

2       PPT

3       Lecture-Demonstration

4       Text Book Assignment

5       Web Reference

6       Video Lectures

7       Enquiry Based Education

8       Co Operative Learning

9       Brain Storming

10    Group Discussion

Professional Memberships

1       ISTE-LM 89530

2       IAENG-239918 

Research Publications (Paper/Poster/book/book chapters/citations/etc)

 Research Publications:

  • Masquerade Attacks Detection using Data Driven Approach [International Journal Of Advanced In Management,  Technology  And Engineering Sciences,ISSN:2249-7455], URL:

Projects guided


Prediction of Heart Diseases using Machine Learning

Digit reorganization from different sources using Machine Learning Algorithms


Energy consumption prediction

Plane crash survival tactics in forest


Weakly-supervised deep embedding for product review sentiment analysis

Resolving Multi-party Privacy Conflicts in Social Media


Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Privacy preserving multi keyword ranked search over encrypted cloud data


Cut Detection in wireless sensor networks


Text recognition from an image and translation

Visa processing information system

List of Working models / Products developed / Incubation/start – ups &

List of projects received seed money


List of projects received seed money

INR 25,000/-

List of NPTEL/ other  certification courses done

1       Introduction To  Machine Learning[NPTEL:JUL-SEP,2019] 

2       Big Data Computing[NPTEL:FEB-APR,2019]

3       Cloud Computing And Distributed Systems[NPTEL:AUG-OCT,2018]

4       Completed a certification course on “ Scalable Machine Learning on Big Data using Apache Spark” from Coursera.

5       Completed a certification course on “Hadoop 101” from Cognitive Class.

Incentives/Award/Reward/Recognitions by university

  • Ratified by the University JNTUK, Kakinada
  • Cloud Computing And Distributed Systems[NPTEL:AUG-OCT, 2018]
  • Recognized as Lab External Examiner for C Programming lab by university[JNTU Kakinada] -2018
  • Recognized as valuator for the course Computer Networks by university[JNTU Kakinada]-2018
  • Received Rs. 3,000/- as recognition for getting 93.1% of  academic results  for the subject “Java Programming”  in II B.Tech_II Sem, 2017-18.
  • Recognized as valuator for the course  operating system by university[JNTU Kakinada]-2017
  • Recognized To act as an  observer at Srinivasa Engineering College in 2016
  • Received Rs. 3,000/- as recognition for getting 92% of  academic results  for the subject “Design & Analysis of Algorithms”  in  III B.Tech_II Sem, 2016-17.
  • Received Rs.5,000/- as recognition for each  research publication in International Journal from 2015 to 2019.

Faculty Development programs attended /Organized /resource person


  • A  5 day FDP on “Natural Language Processing Behind Data Science” .[22nd to 26th June 2020] 


  • FDP on “Artificial Intelligence” from 22nd to 25th May, 2020.
  • FDP on “AWS Cloud computing” organized by APSSDC from 13-07-202 to 25-07-2020.
  • Introduction To  Machine Learning[NPTEL:JUL-SEP,2019] 
  • Python Programming[4 to 9th June 2018]
  • Big data Computing[NPTEL:FEB-APR,2019].
  • Embedded System Development Using ARM Mbed  And Cypress PSoC platform from 1 to 6TH March 2017
  • Cloud Infrastructure Services [11th to 16th May 2016].

Conferences/Seminars/Workshop attended/ organized


  • Applications of Data Science for Industry problems through Python, organized by JNTUK, Kakinada from 10th to 28th Aug, 2020
  • Attended a Webinar on “Internet of Things(IOT) and its applications” organized by KIET on 26.06.2020.
  • Free And Open Source Software at Scet, at Narsapur,Feb-2016.
  • Emerging Challenges In Network Security Intrusion Detection System 12 To 13th December 2015 .

ICT USAGE: webpage/blog/google classroom/LMS etc.

1       LMS[Great Learning]:

2       Blog: 

3       LMS [BYNDR]: 

Ph.D enrolled/ awarded / guided

  Enrolled for Ph.D in Machine Learning at  Andhra University, 2020 

Invited Lectures (Expert/conference/etc)

  • Invited  as Guest Lecturer for the course “Machine Learning” at Sri Vishnu Engineering college for Women in 2019.
  • Invited as Guest Lecturer  For the course “Database Management System” at Swarnandhra Institute of Engg. and Technology  in 2018.
  • Invited as Guest Lecturer for the course “Cloud Computing”  at Prasiddha College of Engineering and Technology  in 2016.

Industrial visits / Trainings / Internships organized


List of In-house/ Funded / Consultancy activities  for R&D projects/documentation


International fellowship for advanced studies/research


Previous Experience

Worked as Assistant Professor in KIET from 27/12/2004 to 28/04/2007