Basant Agarwal, Mukesh Kumar Gupta, Harish Sharma, Ramesh Chandra Poonia, "Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English–Hindi Language Pairs", In Big Data, 11(1), pp: 48-58, 2023. (SCI-Indexed).

Basant Agarwal, "Financial Sentiment Analysis Model Utilizing Knowledge-base and Domain-specific Representation", In Multimedia Tools and Applications, 82, 8899–8920 (2023). https://doi.org/10.1007/s11042-022-12181-y. (SCI-Indexed).

Basant Agarwal , Ajay Agarwal, Priyanka Harjule and Azizur Rahman, “Understanding the intent behind sharing misinformation on social media”, In Journal of Experimental & Theoretical Artificial Intelligence, Taylor Francis, 2022. DOI: 10.1080/0952813X.2021.1960637. (SCI-Indexed).

Richa Sharma, Sudha Morwal, Basant Agarwal, "Named Entity Recognition using Neural Language Model and CRF for Hindi Language", In Computer Speech \& Language. in press. (SCI-Indexed).

Pankaj Kumar Jadwal, Sonal Jain, Sunil Pathak, Basant Agarwal, "Improved resampling algorithm through a modified oversampling approach based on spectral clustering and SMOTE", In Microsystem Technologies. 2022. doi:https://doi.org/10.1007/s00542-022-05287-8 (SCI-Indexed).

Priyanka Harjule, Manva Mohd Tokir, Tanuj Mehta, Shivam Gurjar, Anupam Kumar, Basant Agarwal, "Texture Enhancement of Medical Images for Efficient Disease Diagnosis with Optimized Fractional Derivative Masks", In Journal of Computational Biology. 2022. doi:https://doi.org/10.1089/cmb.2021.0267 (SCI-Indexed).

Mamta Mittal, Suresh Chandra Satapathy, Vaibhav Pal, Basant Agarwal, Lalit Mohan Goyal, Pritee Parwekar, "Prediction of Coefficient of Consolidation in Soil using Machine Learning Techniques", Microprocessors and Microsystems, Elsevier, vol 82. 2021. (SCI-Indexed).

V.N. Manjunath Aradhya, Mufti Mahmud, Basant Agarwal, D.S. Guru, M. Shamim Kaiser, “One Shot Cluster based Approach for the Detection of COVID-19 from Chest X-Ray Images”, in Cognitive Computation, Springer, 2020. (SCI-Indexed).

Muzafar Bhat, Monisa Qadri, Noor-ul-Asrar Beg, Majid Kundroo, Naffi Ahanger and Basant Agarwal, “Sentiment analysis of the Social Media Response on the Covid19 outbreak”, Brain Behavior and Immunity, Elsevier, https://doi.org/10.1016/j.bbi.2020.05.006. 2020. (SCI-Indexed).

Basant Agarwal, Priyanka Harjule, Lakshit Chouhan, Upkar Saraswat, Himanshu Airan, Parth Agarwal, “Prediction of dogecoin price using deep learning and social media trends”, in EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021.

Amit Kumar, Tejeshwar Saini, Pratik B Pandey, Apoorv Agarwal, Anand Agrawal, Basant Agarwal, “Vision-based outdoor navigation of self-driving car using lane detection”, in International Journal of Information Technology, Springer. pp: 1-13, 2021.

Ashish Sharma, Basant Agarwal, “A cyber-physical system approach for model based predictive control and modeling of COVID-19 in India”, Journal of Interdisciplinary Mathematics, Taylor Francis, DOI: 10.1080/09720502.2020.1830479, 2020.

Richa Sharma, Sudha Morwal, Basant Agarwal, Ramesh Chandra, Mohammad S Khan, “A Deep Neural Network based Model for Named Entity Recognition for Hindi Language”, In Neural Computing and Applications, Springer, https://doi.org/10.1007/s00521-020-04881-z, 2020.

Richa Sharma, Sudha Morwal, Basant Agarwal, “Entity-Extraction Using Hybrid Deep-Learning Approach for Hindi text”, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 15(3), 1-11, 2021.

Suman Kumari, Basant Agarwal, Mamta Mittal, “A Deep Neural Network Model for Cross-Domain Sentiment Analysis”, International Journal of Information System Modeling and Design (IJISMD), 12(2), 1-16, 2021.

Priyanka Harjule, Azizur Rahman, Basant Agarwal, “A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19”, Journal of Interdisciplinary Mathematics, 24(2), 411-424, 2021.

Gauri Jain, Manisha Sharma, Basant Agarwal, “Spam Detection in Social Media using Convolutional and Long Short Term Memory Neural Network”, Annals of Mathematics and Artificial Intelligence, Springer, DOI:10.1007/s10472-018-9612-z 2019.

Basant Agarwal, Heri Ramampiaro, Helge Langseth, Massimiliano Ruocco , “A Deep Network Model for Paraphrase Detection in Short Text Messages”, Information Processing and Management, Elsevier, 54(6), Pages 922-937, 2018.

Ashish Sharma, Basant Agarwal, “A cyber-physical system approach for model based predictive control and modeling of COVID-19 in India”, Journal of Interdisciplinary Mathematics, Taylor Francis, 2020.

Basant Agarwal, “Cross-lingual plagiarism detection techniques for English-Hindi language pairs”, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 679-686, 2019, DOI: 10.1080/09720529.2019.1642626.

Pankaj Kumar Jadwal, Sonal Jain, Basant Agarwal, “Financial credit risk evaluation model using machine learning based approach”, In World Review of Entrepreneurship, Management and Sustainable Development, Inderscience, 2020.

Pankaj Kumar Jadwal, Sonal Jain, Basant Agarwal, “Clustering based hybrid resampling techniques for social lending data”, In International Journal of Intelligent Systems Technologies and Applications, Inderscience,2020.

Pankaj Kumar Jadwal, Sonal Jain, Basant Agarwal, “Spectral Clustering and Cost-Sensitive Deep Neural Network-Based Undersampling Approach for P2P Lending Data”, International Journal of Information Technology and Web Engineering (IJITWE), 15(4), 37-52, 2020.

Nishtha Kesswani, Basant Agarwal, “SmartGuard: an IoT-based intrusion detection system for smart homes”, In International Journal of Intelligent Information and Database Systems, Inderscience, 13(1), 61-71, 2020.

Shelendra Kumar Jain, Nishtha Kesswani, Basant Agarwal, “Security, Privacy and Trust (SPT): Privacy Preserving Model for Internet of Things”, In International Journal of Intelligent Information and Database Systems, Inderscience, 13(4), 249-277, 2020.

Richa Sharma, Sudha Morwal, Basant Agarwal, “Named entity recognition for Hindi language: A survey”, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 569-580, 2019, DOI: 10.1080/09720529.2019.1637157.

Manoj Gupta, Jörg Lechner, Basant Agarwal, "Performance Analysis of Kalman Filter in Computed Tomography Thorax for Image Denoising", In Recent Patent in Computer Science, 2019.

Muzafar Rasool Bhat, Majid A Kundroo, Tanveer A Tarray, Basant Agarwal, “Deep LDA: A new way to topic model, Journal of Information and Optimization Sciences,(2019), DOI: 10.1080/02522667.2019.1616911.

Basant Agarwal, Soujanya Poria, Namita Mittal, Alexander Gelbukh, Amir Hussain, “Concept Level Sentiment Analysis using Dependency-based Semantic Parsing: A Novel Approach”, In Cognitive Computation, Springer, 7 (4), pages: 487–499, 2015. (SCI-Indexed)

Basant Agarwal, Namita Mittal, Pooja Bansal, Sonal Garg, “Sentiment analysis using common-sense and context information”, In Computational Intelligence and Neuroscience, Article ID 715730, 9 pages, 2015. (SCI-Indexed)

Basant Agarwal, Namita Mittal, “Prominent Feature Extraction for Review Analysis: An Empirical Study”, In Journal of Experimental and Theoretical Artificial Intelligence, Taylor Francis, 28(3), 485-498, 2014. (SCI-Indexed)

Basant Agarwal, Namita Mittal, “Semantic Feature Clustering for Sentiment Analysis of English Reviews”, In IETE Journal of Research, Taylor Francis, Vol: 60 (6), pages 414-422, 2014. (SCI-Indexed)

Gauri Jain, Manisha, Basant Agarwal, “Spam Detection on Social Media using Semantic Convolutional Neural Network”, In International Journal of Knowledge Discovery in Bioinformatics (IJKDB), IGI Global, Vol: 8(1), pages: 12-26, 2018.

Gauri Jain, Manisha Sharma, Basant Agarwal, “Optimizing Semantic LSTM for Spam Detection”, In International Journal of Information Technology, Springer, DOI:10.1007/s41870-018-0157-5, 2018.

Shrawan Ram, Shloak Gupta, Basant Agarwal, “Devanagri Character Recognition Model Using Deep Convolution Neural Network”, In Journal of Statistics and Management Systems, Taylor Francis, 21 (4), pages: 593–599, 2018.

Shikhar Seth, Basant Agarwal, “Diabetic detection using Convolutional Neural Network”, In Journal of Statistics and Management Systems, Taylor Francis, 21 (4), pages: 569–574 2018.

Basant Agarwal, Namita Mittal, “Hybrid Approach for Detection of Anomaly Network Traffic Using Data Mining Techniques”, In Procedia Technology, Elsevier Vol 6, 2012, Pages 996-1003.

Ramesh Chandra Poonia Basant Agarwal, Sandeep Kumar, Mohammad S Khan, Gonçalo Marques, Janmenjoy Nayak, “Cyber-Physical Systems for AI and COVID-19”, Elsevier, 2021.

Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik, “Deep Learning Based Approaches for Sentiment Analysis”, In Springer. 2019.

Basant Agarwal, Azizur Rahman, Srikant Patnaik, Ramesh Chandra Poonia, “Proceedings of International Conference on Intelligent Cyber-Physical Systems (ICPS 2021), https://www.springer.com/gp/book/9789811671357.

Basant Agarwal, Valentina Emilia Balas, Lakhmi Jain, Ramesh Poonia, Manisha Sharma, “Deep Learning Techniques for Biomedical and Health Informatics”, In Elsevier. 2019.

Mamta Mittal, Sudeep Tanwar, Basant Agarwal, Lalit Mohan Goyal, “Energy Conservation for IoT Devices”, Springer. 2019.

Bansal, J.C., Gupta, M.K., Sharma, H., Agarwal, B., “Communication and Intelligent Systems”, International Conference, ICCIS 2019, Jaipur, India, F9–10 November 2019. AISC Springer, 2019.

Arun K. Somani, Seeram Ramakrishna, Anil Chaudhary, Chothmal Choudhary, Basant Agarwal, “Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics”, Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers. CCIS Springer. 2019.

Kavita Sharma, Mitsunori Makino, Gulshan Shrivastava, Basant Agarwal, “Forensic Investigations and Risk Management in Mobile and Wireless Communications”. IGI Global. 2019.

Basant Agarwal, Namita Mittal, “Prominent Feature Extraction for Sentiment Analysis”, In Springer Book Series: Socio-Affective Computing series, Springer International Publishing, ISBN: 978-3-319-25343-5, DOI: 10.1007/978-3-319-25343-5, 2016.

Basant Agarwal, “Hands-On Data Structures and Algorithms with Python”, PACKT PUBLISHING, UK, ISBN: 978-1-78899-557-3, 2019.

Basant Agarwal, Vaishnavi Sharma, Priyanka Harjule, Vinita Tiwari, Ashish Sharma,"The COVID-19 outbreak: Social media sentiment analysis of public reactions with multi-dimensional perspective", In Book: Cyber-Physical Systems for COVID-19, Elsevier, 2020.

Ashi Agarwal, Basant Agarwal, Priyanka Harjule, Ajay Agarwal, “Mental health analysis of students in major cities of India during COVID-19”, , In: Khosla P.K., Mittal M., Sharma D., Goyal L.M. (eds) Predictive and Preventive Measures for Covid-19 Pandemic. Algorithms for Intelligent Systems. Springer, 2021.

PR Vishnu, Basant Agarwal, P Vinod, KA Dhanya, Alice Baroni, “A Deep Learning-Based Model for an efficient Hate-speech Detection in Twitter”, in Book chapter in the book titled “Securing Social Networks in Cyberspace", CRC Press., pp:245. 2021.

Apurv Jain, Meet Jain, Rahul Ashok Verma, Anupam Kumar, Basant Agarwal and Priyanka Harjule, “Analysis of Land Use/Land Cover Built-Up and Non Built-Up Areas Pixel-based Classification using Google Earth Engine in an Urban Region, Delhi, India”, Book chapter in the book titled “Explainable Artificial Intelligence for Smart Cities", CRC Press, pp:245. 2021.

Ajeet Ram Pathak, Basant Agarwal, Manjusha Pandey, Siddharth Rautaray, “Application of Deep Learning Approaches for Sentiment Analysis”, Book Chapter in the book titled “Deep Learning-Based Approaches for Sentiment Analysis”, Springer, pp: 1-31, 2020.

Basant Agarwal, Namita Mittal, Vijay Kumar Sharma, “Semantic Orientation based Approaches for Sentiment Analysis”, Book Chapter in the book titled “Case Studies in Intelligent Computing - Achievements and Trends”, CRC Press, pp: 62-75, 2014.

Basant Agarwal, Namita Mittal, “Machine Learning Approaches to Sentiment Analysis”, In Book Chapter titled “Mining and Analysis in the Engineering Field”, IGI Global, pp- 193-208, 2014.

Akshra Gupta, Manas Garg, Shrikant Deshmane, Parikshit Kishor Singh, Basant Agarwal, “Object-based classification for Visual Question Answering”, 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE), 2020.

Pankaj Ramakant Kunekar, Mukesh Gupta, Basant Agarwal, “Deep Learning with Multi Modal Ensemble Fusion for Epilepsy Diagnosis”, 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things, 2020.

Ankit Kumar, Pankaj Dadheech, Mahender Kumar Beniwal, Basant Agarwal, Pawan Kumar Patidar, “A Fuzzy Logic-Based Control System for Detection and Mitigation of Blackhole Attack in Vehicular Ad Hoc Network”, In Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, 163-178, 2020.

Pankaj Ramakant Kunekar, Mukesh Gupta, Basant Agarwal, “IOT enabled Machine Learning and Big Data Analytics based Life Style Diseases: A Survey”, In Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, 2020.

Soujanya Poria, Basant Agarwal, Alexander Gelbukh, Amir Hussain, Newton Howard, “Dependency Based Semantic Parsing for Concept-Level Text Analysis”, In 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014). Vol-8403, pp. 113–127, 2014, Springer.

Soujanya Poria, Alexander Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard, “Common Sense Knowledge Based Personality Recognition from Text”, In 12th Mexican International Conference on Artificial Intelligence, Volume 8266, 2013, pp 484-496.

Basant Agarwal, Namita Mittal, Erik Cambria “Enhancing Sentiment Classification Performance using Bi-Tagged Phrases”, In 13th IEEE International Conference on Data Mining Workshops (ICDMW 2013) SENTIRE pp: 892-895.

Basant Agarwal, Namita Mittal, “Optimal Feature Selection for Sentiment Analysis”, In 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), Springer, Vol-7817, pages13-24, Greece, Samos.

Kartik Singhal, Basant Agarwal, Namita Mittal, “Modeling Indian general elections: Sentiment Analysis of Political twitter data”, In Second International Conference on Information systems design and intelligent Applications, Springer, Volume 339, 2015, pages: 469-477.

Basant Agarwal, Namita Mittal, “Sentiment Classification using Rough Set based Hybrid Feature Selection”, In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA’13), NAACL-HLT, Atlanta, USA, pages 115–119, 2013.

Basant Agarwal, Vijay Sharma, Namita Mittal, “Sentiment Classification of Review Documents using Phrases Patterns”, In the International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp.1577-1580, 2013.

Namita Mittal, Basant Agarwal, Garvit Chouhan, Nitin Bania, Prateek Pareek, “Sentiment Analysis of Hindi Reviews based on Negation and Discourse Relation”, In the proceedings of International Joint Conference on Natural Language Processing (IJCNLP), pages 45–50, 2013.

Namita Mittal, Basant Agarwal, Garvit Chouhan, Prateek Pareek, Nitin Bania, “Discourse based Sentiment Analysis for Hindi Reviews”, In the 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI’13), pp. 720–725, 2013.

SK Verma, N. Mittal, Basant Agarwal, “Hybrid Recommender System based on Fuzzy Clustering and Collaborative Filtering”, In 4th International Conference on Computer and Communication Technology. IEEE, 2013, pp: 116 - 120.

Basant Agarwal, Namita Mittal, Vijay Kumar Sharma, “Feature Extraction Methods for Semantic Orientation based Approaches to Sentiment analysis”, In 10th International Conference on Natural Language Processing (ICON) 2013. Pp: 225-230.

Namita Mittal, Basant Agarwal, Saurabh Agarwal, Subham Agarwal, Promod Gupta, “A Hybrid Approach for Twitter Sentiment Analysis”, In 10th International Conference on Natural Language Processing (ICON), pp:116-120, 2013.

Namita Mittal, Basant Agarwal, Nikita Vijay, Adarsh Gupta, “Text Summarization with Semantics Information’ In 10th International Conference on Natural Language Processing (ICON), pp 256-259, 2013.

Basant Agarwal, Namita Mittal, “Comparative Study of Feature Reduction and Machine Learning Techniques for Spam Detection.”, In 2nd International Conference on Soft Computing for Problem Solving (SocPros2012), Springer, Vol-236, pp: 761-760, 2012.

Basant Agarwal, Namita Mittal, “Text Classification using Machine Learning Methods- A Survey”, In 2nd International Conference on Soft Computing for Problem Solving (SocPros-2012), Springer, Vol 236, pages,701-710, 2012.

Basant Agarwal, Namita Mittal, “Categorical Probability Proportion Difference (CPPD): A Feature Selection Method for Sentiment Classification”, In Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology, COLING 2012, pages 17–26, 2012.

Sujeet Kumar, Mukesh Kumar Gupta, Basant Agarwal, Sanwta Ram Dogiwal, “Prediction of SQL Injection Vulnerability using Machine Learning and Text Mining Technique”, In 5th National Conference on Emerging Technologies in Computer Engineering, pp: 99-110, November, 2015.

Chhagan Lal, Basant Agarwal, “Signal Strength based Multipath Routing for Mobile Ad Hoc Networks”, In 5th National Conference on Emerging Technologies in Computer Engineering, pp: 127-136, November, 2015.

ERCIM Alain Bensoussan Fellowship Award by ERCIM, Sophia Antipolis for PostDoc Research in 2016.

Internship Awarded by National University of Singapore (NUS), Singapore in 2013.