Faculty Achievements

FDP’s Attended

S.NO

NAME OF THE FACULTY  TITLE PLACE/
ORGANIZATION

DATE

 

1

 

Dr. O Obulesu

Deep learning enabled intelligent diagnosis system for retinal vein occlusion: redefining diagnostic accuracy GNITS Hyderabad 18/12/2023 To 23/12/2023
2 Mrs.N. Divya Could Application Development with Redhat openshift IBM 24/07/2023
To
04/08/2023
ICT and Virtual Labs GNITS 15-9-2023
Python for Data Science
Probability and Statistics
Infosys Springboard 31/08/2023 To
04/09/2023
3 Mrs. K Sreeveda Explainable AI in Automated Driving: A User-Centred Interaction Approach for explicit understanding of Users, Tasks and Environments GNITS Hyderabad

 

 

20/11/2023 to 25/11/2023

 

 

Machine Learning Algorithms and its Applications GPREC, Kurnool 10/07/2023 to 14/07/2023
4 Mrs. Nayan Rai Could Application Development with Redhat openshift IBM 24/07/2023
To
04/08/2023
Cloud Infrastructures(AWS) BrainOVision Pvt Ltd 21/08/2023
To
25/08/2023
Microsoft power BI Data Analyst Associate K G Reddy college of Engineering and Technology Hyderabad. 13/11/2023 to 17/11/2023
5 Mrs. Y Rajyalaxmi Recent Trends in Data Science for Engineering CBIT, Hyderabad 26/06/2023 to 30/06/2023
Database Management System Swayam 24/07/2023
to
22/09/2023
ICT and Virtual Labs GNITS 15/9/2023
·         Explainable AI in Automated Driving: A User-Centred Interaction Approach for explicit understanding of Users, Tasks and Environments GNITS Hyderabad 20/11/2023 to 25/11/2023
·         ICT and Virtual lab Accops Hyderabad 15/09/2023
6 T. Mallika Devi Recent Trends in Data Science for Engineering CBIT, Hyderabad 26/06/2023 To 30/06/2023
Machine Learning Algorithms and its applications GPREC, Kurnool 10/07/2023 To 14/07/2023
Master Data Analytics ExcelR 31/07/2023
To
4/08/2023
Database Management System Swayam 24/07/2023
To
22/09/2023

NPTEL Courses

S.NO.

Name of the Faculty Name of the NPTEL Course Organized Date

Duration

1 N. Divya Deep Learning IIT Madras Jul-Oct 2023 12 weeks
2 T. Mallika Data Base Management System IIT Kharagpur Jul-Sept 2023 08 weeks

OTHER ACHIEVEMENTS

S. No. Name of the Faculty Name of the Achievement Date
1 Dr. O Obulesu ·         Received Approval for the project proposal titled “AI based classroom monitoring for Student Behavior and Activity Classification in the examination hall” submitted for SEED grant.

·         Received first Research Grant letter from DST-SERB under EMEQ scheme of cost 4, 50,000.

·         Participated and presented a paper on “An effective Prediction of Heart Diseases using Machine Learning Techniques” in international conference on data science, machine learning & applications.

·         Appointed as examiner for adjudicating the ph D thesis of kiran kumar yatakona in Bharathiar university Coimbatore.

·         Appointed as examiner to evaluate Ph D thesis of Shubha rao in visveswaraya technological university Karnataka.

 

01/12/2023

 

01/12/2023

 

15/12/2023 to 16/12/2023

 

11/10/2023

 

10/10/2023

2 Mrs. N Divya ·         Nominated as panel member for SIH Internal Hackathon organized by Innovation and Incubation center, GNITS

·         Successfully completed the training conducted on “virtual faculty buildathon cloud app development” with Red Hat open shift

·         Successfully satisfied the requirements for “Journey to cloud: Envisioning your solution” issued by IBM

20/09/2023

 

24/07/2023 to 4/08/2023

30/08/2023

3 Mrs. Nayan Rai ·         Got certificate of appreciation for participating in Cyber Suraksha – a ‘stay safe online’ campaign in rural India organized by Computer Society of India and Ministry of Electronics & Technology, Govt. of India

·         Nominated as Student Branch Counselor to the CSI Student Branch

·         Got certificate of Appreciation as Faculty Coordinator in 4 days workshop and Hackathon on AWS with Machine Learning Building Intelligence Applications from data to deployment,

07/09/2023

 

2023

16/08/2023 to 20/08/2023

4 Mrs. T. Mallika Devi ·         Completed 10 hours online training program on “Master Data Analytics” organized by EXCELR raising excellence 31/07/2023 to 04/08/2023