o.   Courses Taught at NIT Andhra Pradesh

        a.   PG

1. Deep Learning for Natural Language Processing
2.  Big Data Analytics
3.  Data Science and Analytics

      b.  UG

1. Artificial Intelligence
2. Natural Language Processing             
3. Big Data Analytics
4.  Machine Learning and Soft Computing
5. Data Structures
6. Discrete Mathematics
7. Data Warehousing and Data Mining
8. Secure Software Engineering                 
9. Design and Analysis of Algorithms
10. Problem Solving Through Computer Programming

   2.   Professional (Work) Experience

           a. Worked as Member Technical at ADP Wilco International Systems, Somajiguda, Hyderabad.

           b. Worked as Professor in CSE at Vishnu Institute of Technology, Bhimavaram and a few other engineering colleges in West Godavari District.

  3.   Publications

         Google Scholar link 

 4.     Research Project

          i. PI for the project entitled Study, Analysis and Implementation of Machine Learning Algorithms on Hadoop to solve Big Data problems under Young Scientist scheme from SERB under Big data Initiative (Completed)

          ii. PI for the Seed grant project entitled “Student Advisory System a case study for NIT Andhra Pradesh” , Duration: 2019-21

          iii. Co PI for the project entitled “Leveraging Quantum Computing for efficient learning and inference in probabilistic graphical models” under MeitY Quantum Computing Applications Lab (QCAL). (Ref. No. N-21/17/2020-NeGD, Duration: May 2022 - May 2025)

5.      Ph.D Guidance

i. Nelaturi Kiran Babu   (FT, Thesis title: Design and Evaluation of Multi-task Learning Models for Toxicity Detection and Rationale Extraction) [Completed]

ii. Krishna Kumar Singh (PT, Research Topic Few-shot Learning) 

iii. Samineni Bhavani (PT, Research Topic: Zero Shot Stance Detection) 

iv. Dinesh Didla (FT, Research Topic: Explainable AI)

v.Afzal Ahmed Syed (FT, Research Topic: Mechanistic Interpretability)

vi. Vasuki Nadapana  (FT, Research Topic: Few Shot Continual Learning)

6.      Memberships

• Member in ACM
• Member in IEEE

7.  Awards

       Best paper award for "FLARE: Enhancing Few-Shot Missing Triple Prediction via Attention-Guided Subgraph Reasoning", at PReMI 2025  

8.  Miscellaneous

  a.   Seminars, Workshops, Courses and FDPs organized

1. Faculty Development Programme  on “"Natural Language Processing with Deep Learning" was organised at Vishnu Institute of Technology, Bhimavaram, from  5 May to 10 May 2025,  in association with E & ICT Academy, National Institute of Technology Warangal, (Sponsored by Ministry of Electronics and Information Technology (MeitY), GOI).
2. Faculty Development Programme on “Deep Learning for NLP” was organized during 21st – 25th March 2022. (self-finance mode).
3. Faculty Development Programme on “Big Data Computing” was organized during 29thApril - 4th May 2019, in association with E & ICT Academy, National Institute of Technology Warangal, (Sponsored by Ministry of Electronics and Information Technology (MeitY), GOI).

 b.    Administrative Experience

             i.  Dean Student Welfare

             ii. Head, CSED

             iii. Associate Dean, Faculty Welfare

             iv.  NBA, NAAC coordinator

             v.  Coordinator for Women’s Grievance cell