Collaborators

1. Prof. David Binkley (Loyola University Maryland, USA)

2. Prof. Nicolas Spyratos (Université Paris-Saclay, France)

3. Dr. Rajesh Sharma (Plaksha University, Mohali, Punjab)

4. Dr. Vivekraj V K (IIIT Dharwad)

5. Anshuman Guha (Freshworks USA), Arjun Bali (Rocket Mortgage, USA), Siddharth Kashiramka (Amazon USA)

PhD or PostDoc. Scholars

1. Akash Deep Sarkar (MTech scholar, IIIT Dharwad)

2. Chethan M (MTech scholar, IIIT Dharwad)

3. Vanitha (MTech scholar, IIIT Dharwad)

4. Snehalatha S H (PhD scholar, IIIT Dharwad)

5. Ravindra Nath Shukla (PhD scholar, IIITM Gwalior, Supervisor: Dr. Vishal Vyas)

6. C B Abhilash (Post PhD scholar, IIIT Dharwad, Supervisor: Prof. Kavi Mahesh)

BTech Group Members: IIIT Dharwad

1. Kartik Avinash, Pratik Prakash Pakhale

2. Rishav Kumar, Ashutosh-Rana

3. Anubhav Gupta, Rohit Chaudhari, Chintan Chawada

4. Tanush Korgaokar, Mayank Kumar Shah, Aryan Kumar, Nikhil Baghel

5. Abhishek Jain, Avinash Tiwari, Prince Kumar, Kartik Londhe, Sandeep Kumar

6. Yashashvi Singh, Adwait Kesharwani

7. Jahnavi Enduri

8. Naman Srivastava, Omkar Gowda, Shreyas Bulbule, Siddharth Bhandari

9. Kasu Sai Kartheek Reddy, R. Dhivya Prasanna, Zuhair Hasan Shaik, Rishi Koushik Reddy Thippireddy, PSS Vamsi Madhav

Publications (with Research Group and Collaborators)

1. Animesh Chaturvedi, Tanush Korgaokar, Mayank Kumar Shah, Aryan Kumar, Nikhil Baghel. Akash Deep Sarkar. "Social Sense mobile app with Evolution Analytics and Offensiveness Severity Detection". Accepted at 5th ACM/IEEE International Conference on AI ML Systems.

2. Animesh Chaturvedi, Anubhav Gupta, Chintan Chawda, Rohit Chaudhari. "Cloud Architecture for Language Translation Model as a Service (MaaS) on Hugging Face". Accepted at 5th ACM/IEEE International Conference on AI ML Systems.

3. Abhishek Jain, Avinash Tiwari, Prince Kumar, Kartik Londhe, Sandeep Kumar, Animesh Chaturvedi. Saarthi: Ensemble AI4Bharat and Gemini for Multilingual Indian Chatbot. Accepted at 5th ACM/IEEE International Conference on AI ML Systems.

4. Jahnavi Enduri and Animesh Chaturvedi. “Hate Speech Detection in Low-Resource Languages Hindi, Gujarati, Marathi, and Sinhala”, 17th IEEE International Conference on Communication Systems & Networks (COMSNETS), January 6 – 10, 2025. DOI: 10.1109/COMSNETS63942.2025.10885759

5. Animesh Chaturvedi, Vivekraj V K, Pratik Pakhale, Karthik Avinash. “Vedalytics: Concepts as Knowledge from Rules of the Ancient Indian Scriptures”. 12th IEEE International Conference on Big Data. Dec 15-18, 2024, Washington DC, USA, IEEE, 17-20 Dec 2024. DOI: https://doi.org/10.1109/BigData62323.2024.10825723 

6. C B Abhilash, K V Manjunath, Animesh Chaturvedi, Kavi Mahesh. “Link Ontology Analytics: Representing COVID-19 Data as Network Links”. 12th IEEE International Conference on Big Data. Dec 15-18, 2024, Washington DC, USA, IEEE, 17-20 Dec 2024. DOI: https://doi.org/10.1109/BigData62323.2024.10825631

7. Yashashvi Singh, Adwait Kesharwani, Animesh Chaturvedi, and Rajesh Sharma “MemePeril: A Diverse Multi-modal Harmful Memes Dataset for Evolution Analytics and LLM Prompts”. 8th ACM International Conference on Data Science and Management of Data (CODS-COMAD), December 2024, Jodhpur, India. (Accepted). 

8. Kasu Sai Kartheek Reddy, R. Dhivya Prasanna, Zuhair Hasan Shaik, Rishi Koushik Reddy Thippireddy, PSS Vamsi Madhav, and Animesh Chaturvedi.  "Comparison of Fair and FIFO Schedulers on Cloud Cluster of Apache Spark" In 2024 IEEE Conference on Engineering Informatics (ICEI), pp. 1-7. IEEE, 2024. In 2024 IEEE Conference on Engineering Informatics (ICEI) (pp. 1-7). IEEE. DOI: https://doi.org/10.1109/ICEI64305.2024.10912108

9. Ravindra N. Shukla, Vishal Vyas, Animesh Chaturvedi. “An analysis of capital structure heterogeneity for manufacturing and service sector firms”. Managerial Finance, Vol. 50.9 (2024): 1622-1640. (ABDC B) DOI: https://doi.org/10.1108/MF-08-2023-0500

10. Ravindra N. Shukla, Vishal Vyas, Animesh Chaturvedi. “Leverage Adjustment Analytics: Effect of Covid-19 Crisis on Financial Adjustments of Indian Firms”. Journal of Economics and Finance, Vol. 48 (2024): 513–543. (ABDC B) DOI: https://doi.org/10.1007/s12197-024-09659-w

11. Shubhangi Chaturvedi, Sri Khetwat Saritha, and Animesh Chaturvedi, Spark Based Parallel Frequent Pattern Rules for Social Media Data Analytics, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, (CCGridW), 01-04 May 2023, Bangalore, Karnataka, India (Core A). DOI: https://doi.org/10.1109/CCGridW59191.2023.00039

12. 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.

13. Animesh Chaturvedi, and Rajesh Sharma. “minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices”. IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), October 13-16, 2022, Shenzhen, China. IEEE, 2022. (Core A) PDF Video

14. Animesh Chaturvedi. "Call Graph Evolution Analytics over a Version Series of an Evolving Software System". In 37th IEEE/ACM International Conference on Automated Software Engineering (ASE ’22), October 10-14, 2022, Rochester, MI, USA. DOI: 10.1145/3551349.3559573 (Core A*) PDF  Video

15. Animesh Chaturvedi, Aruna Tiwari, and Nicolas Spyratos. “System Network Analytics: Evolution and Stable Rules of a State Series”. IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), October 13-16, 2022, Shenzhen, China. IEEE, 2022. (Core A) PDF  Video

16. Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, and David Binkley. “Service Evolution Analytics: Change and Evolution Mining of a Distributed System”. IEEE Transactions on Engineering Management, Vol. 68.1, pp 137 - 148, Feb-2021, DOI: 10.1109/TEM.2020.2987641 (ABDC A). PDF, Video

17. Animesh Chaturvedi, and David Binkley. "Web Service Slicing: Intra and Inter-Operational Analysis to Test Changes". IEEE Transactions on Services Computing Vol. 14.3 (May-June 2021): 930-943. DOI: 10.1109/TSC.2018.2821157 (CORE A*). PDF, Video

18. Animesh Chaturvedi, Aruna Tiwari, and Nicolas Spyratos. “minStab: Stable Network Evolution Rule Mining for System Changeability Analysis”. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol 5.2: 274-283 (April 2021). DOI: 10.1109/TETCI.2019.2892734. PDF, Video