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2023-2024
2023-2024
FDP’s Attended
NPTEL Courses
OTHER ACHIEVEMENTS
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 |
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 |
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 |