Email: animesh.chaturvedi88[at]gmail.com
Aspiring to be inter-disciplinary scientist/researcher/teacher of:
'Artificial Intelligence (AI)',
'Data Science and Advance Analytics',
'Cloud and Service Computing',
Join PhD and Master oppurtunity with me either as part-time or funded project
Join PostDoc I will recommend application to mentor for National Post-Doctoral Fellowship
Drop an email csdsaianalyticslab@gmail.com
Attended the 8th Lindau Nobel Laureate Meeting in Economic Sciences as a 300 Young Scientist
(Linkedin Post and IIIT Dharwad announcement)
Attended the Heidelberg Laureate Forum (HLF) 2024 as 200 Young Researchers in Mathematics and Computer Science
(Linkedin post and IIIT Dharwad announcement)
Organizing Committeee or Chair
Workshop Chair: Big Data and AI (BDA) 2025
Session Chair: Big Data Analysis (at IEEE 9th DSAA 2022)
Program Committee (TPC) Member
IEEE DSAA (2026, 2025, 2024, 2023, 2022),
ACM CIKM (2025, 2024, 2023, 2022),
Reviewed for
IEEE Transactions on (Artificial intelligence; Knowledge and Data Engineering; Service Computing; Cloud Computing; Big Data; Emerging Topics in Computing; Emerging Topics in Computational Intelligence; Automation Science and Engineering; Cognitive and Developmental Systems), and IEEE Systems Journal
ACM KDD (2021 and 2020), ACM CIKM 2020, and ACM HyperText 2020
Assistant Professor at VGSoM of IIT Kharagpur
Assistant Professor at Indian Institute of Information Technology - Dharwad (its Campus) for Data Science and Artificial Intelligence, Jan 2022 - April 2026
IIIT Dharwad is well-known for AI, DS, CS among Indian Institutes of Information Technology (IIIT)
Looking for: collaboration in upcoming research projects; as associate editor of premiere journals; technical program committee or joint workshop/tutorial organization in premiere conferences; co-supervision of any MTech/PhD candidate; motivated students to do internship with me; a talk on my research works and theories.
Alumni of
Lindau Nobel Laureate Meeting as a 300 Young Scientist
Heidelberg Laureate Forum (HLF) 2019 and 2024 as Young Researchers, selected as 200 young researchers across the globe in Computer Science and Mathematics by HLF Foundation (HLFF), IMU, and ACM. Also selected in Virtual HLF 2020 as HLF Alumni.
King's College London (Department of Informatics / IOPPN) and The Alan Turing Institute as PostDoctoral - Research Assistant
Indian Institute of Technology Indore (IIT Indore) (Computer Science and Engineering) as PhD - Teaching Assistant
Indian Institute of Information Technology, Design and Manufacturing Jabalpur (IIITDM Jabalpur) (Computer Science and Engineering) as Master of Technology (M.Tech) - Teaching Assistant
Devi Ahilya University Indore - Institute of Engineering and Technology (Information Technology) as Bachelor of Engineering (BE)
Schloss Dagstuhl Seminar 19401 (known for DBLP) Germany, featured in the Report.
Pingala Interactions in Computing 2024 as Young Researchers selected among 50 young researchers by committee of ACM India.
Professional Certificates
Data Analysis: Statistical Modeling and Computation in Applications, MITx
Machine Learning with Python: from Linear Models to Deep Learning, MITx
Fortunate to give Talk at
Schloss Dagstuhl Seminar (well-known for DBLP) as a HLF participant in 2019, Germany
CSE Department of IIT Bombay on "System Evolution Analytics based on Data Science", 09 Nov 2021
Higher Education Academy Karnataka 13.05.2022
IIIT Naya Raipur, DSAI Department for the event of DST SERB Karayashala 2024
IISER Pune "System Evolution Analytics based on Network Data Science", Data Science Department, 16-07-2024
Fortunate to give Presentations at eminent venues:
Motorola Mobility Bangalore in 2013 and IIT-Kanpur in 2014,
29th IEEE ICSME at TU-Eindhoven Netherlands 2013,
6th CloudCom at NTU-Singapore 2014,
48th IEEE SMC (at Sheraton-grande organised by University of Miyazaki Japan) 2018,
Higher Education Academy (HEA) of Karnataka University on "Data Analytics: Big Data Analytics and System Evolution Analytics" 2022,
37th IEEE/ACM ASE (organized by Oakland University, Michigan USA) 2022,
9th IEEE DSAA (organized by Shenzhen University) 2022,
23rd IEEE/ACM CCGrid (organised by IISc Bangalore) 2023
IEEE BigData 2024, Washington, DC, USA
IEEE COMSNETS 2025, Bangalore
Complete list of Publications and Google Scholar
Publications indexed at Computer.org, ACM Digital Library, Core Report, and DBLP
Key Publications:
23. Animesh Chaturvedi. “System Evolution Analytics on Interconnected Entities in a System State Series”. Systems Engineering (2026): e70053. Willey INCOSE
22. 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).
21. Ravindra N. Shukla, Vishal Vyas, Ankur Roy, and 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.
20. Ravindra N. 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.
19. 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.
18. 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". 5th International Conference on AI-ML-Systems (AIMLSystems). IEEE, 2025. Bangalore, India.
17. Animesh Chaturvedi, Anubhav Gupta, Chintan Chawda, Rohit Chaudhari. "Cloud Architecture for Language Translation Model as a Service (MaaS) on Hugging Face". 5th International Conference on AI-ML-Systems (AIMLSystems). IEEE, 2025. Bangalore, India.
16. Abhishek Jain, Avinash Tiwari, Prince Kumar, Kartik Londhe, Sandeep Kumar, Animesh Chaturvedi. Saarthi: Ensemble AI4Bharat and Gemini for Multilingual Indian Chatbot. 5th International Conference on AI-ML-Systems (AIMLSystems). IEEE, 2025. Bangalore, India.
15. 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
14. 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.
13. 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.
12. 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. PDF (Ranked 6th) and (Ranked 12th).
11. 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. DOI: 10.1109/BigData62323.2024.10825631.
10. 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 Int. Conf. on Big Data. Osaka Japan, IEEE, 2022. DOI: 10.1109/BigData55660.2022.10021083 (Core B) Video
9. 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. ACM, New York, NY, USA. PDF Video (Core A*) (Ranked 8th)
8. 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. PDF Video (Core A)
7. 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. PDF Video (Core A)
6. Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, and Pietro Lio'. “System Neural Network: Evolution and Change based Structure Learning”. IEEE Transactions on Artificial Intelligence. Vol. 3.3, pp. 426 - 435, June 2022. DOI: 10.1109/TAI.2022.3143778. (IEEE Computer Society and IEEE Computational Intelligence Society) PDF
5. 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. (Technology and Engineering Management Society of IEEE, ABDC A, ABS Rank 11, Rating 3) PDF, Video (Ranked 14th)
4. Animesh Chaturvedi, Aruna Tiwari, and Shubhangi Chaturvedi. “SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning”, IEEE Systems Journal, Vol. 14.3, pp. 4007 - 4014, Sept. 2020. DOI: 10.1109/JSYST.2020.2988037. (IEEE Systems Council) PDF, Video
3. Animesh Chaturvedi, Aruna Tiwari, and Nicolas Spyratos. “minStab: Stable Network Evolution Rule Mining for System Changeability Analysis”. IEEE Transactions on Emerging Topics in Computation Intelligence, Vol 5.2 (April 2019). DOI: 10.1109/TETCI.2019.2892734. (IEEE Computer Society and IEEE Computational Intelligence Society) PDF, Video
2. Animesh Chaturvedi and Aruna Tiwari. "System Network Complexity: Network Evolution Subgraphs of System State Series". IEEE Transactions on Emerging Topics in Computation Intelligence, Vol 4.2 (2018): 130-139. DOI: 10.1109/TETCI.2018.2848293. (IEEE Computer Society and IEEE Computational Intelligence Society) PDF, Video
1. Animesh Chaturvedi and David Binkley. "Web Service Slicing: Intra and Inter-Operational Analysis to Test Changes". IEEE Transactions on Services Computing, Vol 14.3: 930 - 943 (2018). DOI: 10.1109/TSC.2018.2821157 (IEEE Computer Society, Core A*) PDF, Video (Ranked 9th)
