Kartick Chandra Mondal
Also known as: K C Mondal
SRM University, Andhra Pradesh, Jadavpur University, University of Strasbourg, Université de Nice Sophia Antipolis, University of Kalyani
0000-0003-3647-5799
About
Dr. Kartick Chandra Mondal is an Associate Professor in the Department of Computer Science and Engineering at SRM University - AP, Amaravati.
Before joining the current affiliation, Dr. Mondal was engaged as an Assistant Professor in the Department of Information Technology at Jadavpur University, Kolkata. With over 14 years of teaching and research experience, he has cultivated a strong academic and interdisciplinary profile focused on data mining, knowledge discovery, and bioinformatics. Dr. Mondal earned his Ph.D. in Computer Science from the University of Nice Sophia-Antipolis, France, where he developed novel algorithms for data mining and bioinformatics under the supervision of Dr. Nicolas Pasquier. His early training and academic background in Information Technology and Computer Science (B.Tech. from Jalpaiguri Government Engineering College and M.Tech. from the University of Kalyani) laid the foundation for his expertise in computational research.
Dr. Mondal’s research spans various domains, including computational biodiversity, evolutionary computation, inductive logic programming, and environmental data analysis. His postdoctoral work at Telecom Physique Strasbourg (France) involved applying relational learning techniques to ecological datasets for water quality assessment under the French National Research Agency’s FRESQUEAU project. His interdisciplinary expertise uniquely positions him to contribute to computational biodiversity and environmental sustainability through data-driven modeling and AI techniques.
He has published extensively in peer-reviewed journals, international conferences, and edited volumes, with over 470 citations and an h-index of 11. Dr. Mondal has also authored a book and contributed to more than 30 book chapters, indicating his sustained scholarly contributions. His professional affiliations include memberships in ACM, IEEE, CSI, and IEI, reflecting his active engagement with global academic and professional communities.
In addition to his research, Dr. Mondal has demonstrated academic leadership through curriculum development, student mentorship, and international collaboration. He pioneered the introduction of Computational Biodiversity as a subject at Universitas Islam Indonesia and has successfully supervised a Ph.D. thesis in this emerging field. His interdisciplinary expertise bridges computer science and life sciences, and he brings both academic rigor and practical insight into biodiversity data analysis. With a strong track record of scholarly writing, including peer-reviewed articles, book chapters, and a previously published monograph, Dr. Mondal is well-positioned to author a comprehensive and impactful book that integrates computational techniques with biodiversity science for a wide academic and applied audience.
Employment
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SRM University, Andhra Pradesh Associate Professor2025 - Present
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Jadavpur University Assistant Professor2014 - 2025
Education
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University of Strasbourg Post-doc2013 - 2014
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Université de Nice Sophia Antipolis Ph D2009 - 2013
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University of Kalyani M Tech2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (65)
- Advancement of Supervised Machine Learning Algorithms for Risk Assessment in the Insurance Industry Save
- Identify Researchers’ Credibility on Citation Using Self-citation Detection by Author Name Disambiguation Save
- A Deep Ensemble Species Distribution Model for Multilabel Species Prediction Using Multimodal Data Save
- On the Approximation Capabilities of Deep Neural Networks for Multivariate Time Series Modeling Save
- Association of IUCN-threatened Indian mangroves: A novel data-driven rule filtering approach for restoration strategy Save
- Automated credit assessment framework using ETL process and machine learning Save
- Association of Iucn-Threatened Indian Mangroves: A Novel Data-Driven Rule Filtering Approach for Restoration Strategy Save
- Regression Analysis for Finding Correlation on Indian Agricultural Data Save
- Non-exhaust particulate pollution in Asian countries: A comprehensive review of sources, composition, and health effects Save
- Introducing suffix forest for mining tri-clusters from time-series data: Introducing suffix forest for mining tri-clusters..: K. C. Mondal et al. Save