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

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

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

MTech Group Member: IIIT Dharwad

1. Akash Deep Sarkar, "Comparison for Multilingual LLMs for Indian Languages"

2. Chethan M, "Legacy Application Modernization or Digital Web Accessibility"

3. Akash Sharma, "Leveraging agentic AI in 3PL claim management"

4. Ashutosh Pramod Pataskar, "Generative AI-based optimization framework for solar panels"

5. Maheshwari J Sarangamath, "Sales forecasting using AI tools"

6. Noor M. Sadiq Doddamani, "AI-Generated Software Documentation using Generative AI"

7. Mangesh Anant Rane, "Building memory in LLM"

8. Shivanand Burli, "Using Generative AI for HR content creation"

9. Vinolin Mercy, "Generative AI and NLP to automatically create SDLC phases from requirements to test report"

BTech Group Members: 

IIIT Dharwad

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

2. Anubhav Gupta, Rohit Chaudhari, Chintan Chawada. "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. Tanush Korgaokar, Mayank Kumar Shah, Aryan Kumar, Nikhil Baghel. "Social Sense mobile app with Evolution Analytics and Offensiveness Severity Detection". Accepted at 5th ACM/IEEE International Conference on AI ML Systems.

4. Jahnavi Enduri, “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.

5. Kartik Avinash, Pratik Prakash Pakhale. “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. 

6. Rishav Kumar, Ashutosh-Rana. MemePeril: A Diverse Multi-modal Harmful Memes Dataset for Evolution Analytics and LLM Prompts”. Discover Data, Vol. 3, 47 (2025). Springer Nature.

7. Kasu Sai Kartheek Reddy, R. Dhivya Prasanna, Zuhair Hasan Shaik, Rishi Koushik Reddy Thippireddy, PSS Vamsi Madhav. "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. Melbourne, Australia.

8. Yashashvi Singh, Adwait Kesharwani. “MemePeril: A Diverse Multi-modal Harmful Memes Dataset for Evolution Analytics and LLM Prompts”. Discover Data, Vol. 3, 47 (2025). Springer Nature. DOI: https://doi.org/10.1007/s44248-025-00090-y

(Accepted in the 8th ACM International Conference on Data Science and Management of Data (CODS-COMAD), Jodhpur, India, Organized by IIT Jodhpur).

9. Naman Srivastava, Omkar Gowda, Shreyas Bulbule, Siddharth Bhandari. “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.

IIT Indore

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

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

Publications (with Research Group and Collaborators)

1. Anshuman Guha, Arjun Bali, Sid Kashiramka, and Animesh Chaturvedi, “Token Optimized Indexing with Named Entity Extraction from Conversational Data Services”. Accepted at 25th IEEE International Conference on Data Mining Workshop (ICDMW 2025), Washington DC, USA.

2. Yashashvi Singh, Adwait Kesharwani, Animesh Chaturvedi, and Rajesh Sharma “MemePeril: A Diverse Multi-modal Harmful Memes Dataset for Evolution Analytics and LLM Prompts”. Discover Data, Vol. 3, 47 (2025). Springer Nature. DOI: https://doi.org/10.1007/s44248-025-00090-y

(Accepted in the 8th ACM International Conference on Data Science and Management of Data (CODS-COMAD), Jodhpur, India, Organized by IIT Jodhpur).

3. Ravindra Nath Shukla, Vishal Vyas, Animesh Chaturvedi. “Leverage Adjustment Analytics: Effect of Macroeconomic Conditions on Emerging Economies”. IIM Bangalore Management Review. ScienceDirect. DOI: https://doi.org/10.1016/j.iimb.2025.100619 (Accepted April 2025). (ABDC B), Q2.

4. Ravindra Nath Shukla, Vishal Vyas, and Animesh Chaturvedi. “The effect of Macroeconomic attributes on Target Leverage Adjustment: An evidence from Emerging Economy.” South Asian Journal of Business Studies (2025): 1-19. Emerald Insight. DOI: https://doi.org/10.1108/SAJBS-09-2024-0369 (ABDC B), Q1.

5. 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.

6. 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.

7. 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.

8. 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

9. 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 

10. 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

11. 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. Emerald Insight. DOI: https://doi.org/10.1108/MF-08-2023-0500 (ABDC B), Q2.

12. 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. Springer Nature. DOI: https://doi.org/10.1007/s12197-024-09659-w (ABDC B), Q2.

13. 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. Melbourne, Australia. DOI: https://doi.org/10.1109/ICEI64305.2024.10912108

14. 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

15. 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.

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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