IIT Indore (as PhD scholar)

1.  Big Scholarly Data Analytics on KDD Cup 2016 by Microsoft Academic Graph

• Aditya Jain (cse150001001@iiti.ac.in) and Kunal Gupta (cse150001015@iiti.ac.in)

• (2 years in Jun-Jun 2017-19)

2. Network Motif Mining and Deep Learning on Evolving Systems 

• Vraj Shah (1200131@iiti.ac.in), Krishna Chaitanya (ee1200206@iiti.ac.in), and Harsh Mohan me1200315@iiti.ac.in)

• (1 year in 2016)

IIIT Dharwad (as Assistant Professor)

Jan - April 2024 (4 months)

3. PDF to Audiobook 

• Rishav Kumar 20BDS045, Asutosh Rana 20BDS011, Hari Priyam Dwivedi 20BDS026, Surya Pratap Singh 20BDS056

4. Personalized learning Recommender System 

• Tapan Garasangi 20bds059, Praveen Gundyagol 20bds042, Rohit Aroj 20bds046, Ulaveesh Yaragatti 20bec053

5. OCTASAUR (Startup)

• Nikhil Bhashapangu 20bds013, Kandikonda Pavan Sashank 20bds030, Namratha B T 20bds035, Sowmya S 20bds053

6. Hate Speech Data Analytics 

• 21BCS061, M. Sujith, 21BCS047 J. Ruthvik, 21BCS008 A. Sriram, 21BEC056 T. Anil Kumar, 

7. Hadoop-Spark based Text analytics 

• 21bds054 Rahul Singh, 21bds014 Chinmay Havel, 21bds038 Milind Murmu, 21bds008 Ayush Jain, 

8. Large Language Modeling Analysis 

• • 21bds004 Anubhav Gupta, 21bds011 Rohit Chaudhari, 21bds013 Chintan Chawda, 21bds026 Kashish Raju Lonpande

9. Real-Time Hate Speech Text Analytics for Dynamic Content Moderation in Mobile Applications 

• 21bds005 Aryan Kumar, 21bds030 Tanush, 21bds037 Mayank Kumar Shah, 21bds044 Nikhil Baghel

10. Applications of OCR and Sign Languages

• 21bcs043 Heth Tharun Koorma, 21bcs038 G Prashant, 21bcs136 Yadukrishna, 21bcs034 Don Poulose K

Aug - Dec 2023 (4 months) 

11. A comparative study of Graph Convolutional Networks with traditional Neural Networks for Multimodal Data

• 20bds003 Aman Vignesh Kundeti,  20bds012 Balusu Bhanu Prakash, 20bds019 Gagan Vadlamudi, 20bds038 Peddisetty Venkata Sai Pranay

12. Search and Chat-Bot App on Bhagavad-Gita

• Rishav Kumar 20BDS045, Asutosh Rana 20BDS011, Hari Priyam Dwivedi 20BDS026, Surya Pratap Singh 20BDS056

13. Ancient Natural Language Text Analytics on World History Analysis

• 20BEC024 Mandava Sathvik,  20BEC010 Boddu Moses Vijay Kumar, 20BEC057 Vinayak, 20BEC011 Borra Vikas

14. Neural Network Based Classification of Hate Speech in Memes

• Amar S C 20BDS004, Mohammad Karimullah 20BDS048, S V Amarnadh Reddy 20BDS055, V Karuna Prakash 20BDS06

Jan - May 2023 (4 months)

15. Ancient Text Analytics using Spark 

• K Rehasree (19bcs057), Ch Shivathmika (19bcs029), K Sucharitha (19bcs058), Yasharth Dubey (19bcs114)

16. Optimising Neural Network On Edge

• Ajay Kumar Sompalli (19bcs101), Mathangi Sravan (19bcs068), Sahana V. (19bec037)

17. Emotion Detection from Facial Expressions using CNN and GCN

• Aman Vignesh Kundeti (20BDS003),  Gagan Vadlamudi (20BDS019), Juvaraj Bhattacharjee (20BDS027), Shubham Sharma (20BDS051)

18. Sign Language Recognizition using CNN and TGCN

• Balusu Bhanu Prakash (20bds012),  Bommargoni Kartik (20bds014), Kandikonda Pavansashank (20bds030), Peddisetty Venkata Sai Pranay (20BDS038)

19. Bhagavad Gita and Puranas Text Analytics using Spark based Parallel Frequent Pattern Growth

• Mandava Sathvik (20BEC024), Boddu Moses Vijay Kumar (20BEC010), Borra Vikas (20BEC011)

Jan - Dec 2022

20. Spark MLLIB Data Analytics Using Linear Regression

• Nisheer V (18BCS061), Vivek S (18BCS111), Safwan M (18BEC028), Rayhaan M (18BCS055)

• 4 months in Jan-May 2022

21. Meme-annotations and classification

• Yashashvi Singh (20BDS064), Namratha BT (20bds035), Sowmya S (20BDS053)

•  (1.5 year in Jan 2022 - May 2023)

22. Bitcoin Evolution Analytics: Twitter Sentiments to Predict Price Change as Bearish or Bullish

• Naman Srivastava [20bds034], Omkar Gowda [20bds022],  Shreyas Bulbule [20bds050], Siddharth Bhandari [20bds052]

•  (1 year in Jan - Dec 2022)

• Naman Srivastava, Omkar Gowda, Shreyas Bulbule, Siddharth Bhandari, and Animesh Chaturvedi, “Bitcoin Evolution Analytics: Twitter Sentiments to Predict Price Change as Bearish or Bullish”. 2022 IEEE International Conference on Big Data (Big Data). Osaka Japan, IEEE, 2022.

UG projects supervised at LNMIIT Jaipur (as Assistant Professor)

Jan - Dec 2021 (1 year)

23. Smoke Image Segmentation Analysis

• Darshan Jain [18ucc127], Rajesh Kumar [18ucs046], Nitin Khandelwal [18ucc117] 

24. Stock Market Prediction Using LSTM Algorithm

• Nishchay Vashistha - 18ucs114, Naman Modi - 18ucs029, Deepesh Bijarnia - 18ucs187

25. LSTM and Memory Network for Stock Market

• Samyak Goyal (18UCS205), Dushyant Gupta (18UCS175), Vatsal Mishra (18UCS060)