Name of the faculty

GIDLA VIJAYA KUMARI

 

Designation

Associate Professor

Date Of Joining

 16/07/2007 

AY

2015-2020

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 

Counseling/Mentoring

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: http://ijamtes.org/VOL-6-ISSUE-2-2016/

Projects guided

2019-20

Prediction of Heart Diseases using Machine Learning

Digit reorganization from different sources using Machine Learning Algorithms

2018-19

Energy consumption prediction

Plane crash survival tactics in forest

2017-18

Weakly-supervised deep embedding for product review sentiment analysis

Resolving Multi-party Privacy Conflicts in Social Media

2016-17

Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Privacy preserving multi keyword ranked search over encrypted cloud data

2015-16

Cut Detection in wireless sensor networks

2014-15

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

 11

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

Organized:

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

Attended:

  • 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

Attended:

  • 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]:  https://olympus.greatlearning.in/courses/17708

2       Blog:           http://vijayakumarig.blogspot.com

3       LMS [BYNDR]:  gvijayakumari.bvts@bvcgroup.in 

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

NO

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

NO

International fellowship for advanced studies/research

NO

Previous Experience

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

 

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