Faculty

Arindam Chaudhuri

Associate Professor

Area of Expertise: Data Analytics (Statistics, Markov Chains, Machine Learning, Deep learning, Mathematical Finance)

Email: [email protected]

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Arindam Chaudhuri holds a PhD in Computer Science from Indian Statistical Institute Kolkata. His area of interest lies in Data Analytics, Statistics, Machine Learning, Deep Learning and Mathematical Finance. He has more than two decades of experience in research, teaching and industry. He has worked as Post-Doctoral Fellow with University of Copenhagen Denmark and Technical University of Berlin Germany. He has also worked as Researcher with Siemens Research Labs at Amsterdam and Samsung Research Labs at New Delhi and Bangalore. He has published 50+ Scopus research articles and filed two patents

Research Interests

He has total experience of more than decades and 23+ years of domain experience in Machine Learning and Deep Learning models. His secondary interest lies in Mathematical Finance and implementing Stock Market Algorithms using Python. He is also a reviewer of many reputed journals and conferences from Springer, IEEE, Elsevier, ACM and CRC press

Research Grants

Received grants more than INR 37 lakhs from DST Government of India

ResearchGate Author link

https://www.researchgate.net/profile/Arindam-Chaudhuri-2?ev=hdr_xprf

Peer - reviewed Journal Articles

  • Chaudhuri, A., Sentiment Analysis of COVID19 Reviews using Hierarchical version of d-RNN, Computacion y Sistemas, Volume 26, Number 2, pp 1045–1067, 2022.
  • Chaudhuri, A., Hierarchical Modified Fast R-CNN for Object Detection, Informatica (Slovenia), Volume 45, Number 7, pp 67–82, 2021.
  • Chaudhuri, A., Solving Rectangular Fuzzy Games through LR-type Trapezoidal Numbers, Open Computer Science, Volume 7, Number 1, pp 46–50, 2017.
  • Chaudhuri, A., Fuzzy Rough Support Vector Machine for Data Classification, International Journal of Fuzzy System Applications, Volume 5, Number 2, pp 26–53, 2016.
  • Chaudhuri, A., Parallel Fuzzy Rough Support Vector Machine for Data Classification in Cloud Environment, Informatica (Slovenia), Volume 39, Number 4, pp 397–420, 2015.
  • Chaudhuri, A., Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms, Advances in Fuzzy Systems, Volume 2015, pp 2–18, 2015.
  • Chaudhuri, A., Modified Fuzzy Support Vector Machine for Credit Approval Classification, AI Communications, Volume 27, Number 2, pp 189–211, 2014.
  • Chaudhuri, A., Bankruptcy Prediction using Bayesian, Hazard, Mixed Logit and Rough Bayesian Models: A Comparative Analysis, Computer and Information Science, Volume 6, Number 2, pp 103–125, 2013.
  • Chaudhuri, A., Forecasting Financial Time Series using Multiple Regression, Multi-Layer Perception, Radial Basis Function and Adaptive Neuro Fuzzy Inference System Models: A Comparative Analysis, Computer and Information Science, Volume 5, Number 6, pp 13–24, 2012.
  • Chaudhuri, A., De, K., Fuzzy Integer Linear Programming for the Examination Timetable Problem, International Journal of Innovative Computing, Information and Control - Special Issue, Volume 7, Number 5, pp 1–25, 2011.
  • Chaudhuri, A, De, K., Fuzzy Support Vector Machine for Bankruptcy Prediction, Applied Soft Computing, Volume 11, Number 2, pp 2472–2486, 2011.
  • Chaudhuri, A., De, K., A Fuzzy Genetic Algorithm Heuristic for University Course Timetable Problem, International Journal of Advances in Soft Computing and its Applications, Volume 2, Number 1, pp 86–110, 2010.
  • Chaudhuri, A., De, K., A Study of the Job Scheduling Problem Using Rough Fuzzy Multi-Layer Perception Neural Networks Technique, International Journal of Artificial Intelligence: Theory and Applications, Volume 1, Number 1, pp 4–24, 2010.
  • Chaudhuri, A., De, K., A Comparative study of the Transportation Problem under Probabilistic and Fuzzy Uncertainties, GANIT, Journal of Bangladesh Mathematical Society, Volume 16, Number 2, pp 86–96, 2009.
  • Chaudhuri, A., De, K., Chatterjee, D., Solution of the Decision-Making Problems Using Fuzzy Soft Relations, International Journal of Information Technology, Volume 15, Number 1, pp 78–106, 2009.

Research Monographs

  • Chaudhuri, A., Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks, Springer Briefs in Computer Science, Springer Verlag, ISBN 978-981-13-7473-9, pp 1–68, 2019.
  • Chaudhuri, A., Ghosh, S. K., Bankruptcy Prediction through Soft Computing based Deep Learning Technique, Springer Briefs in Computer Science, Springer Verlag, ISBN 978-981-10-6682-5, pp 1–102, 2017.
  • Chaudhuri, A., Ghosh, S. K., Optical Character Recognition for different Languages with Soft Computing, Studies in Fuzziness and Soft Computing 352, Springer Verlag, ISBN 978-3-319-50251–9, pp 1–245, 2017.
  • Chaudhuri, A., Ghosh, S. K., Quantitative Modeling of Operational Risk in Finance and Banking using Possibility Theory, Studies in Fuzziness and Soft Computing 331, Springer Verlag, ISBN 978-3-319-26037-2, pp 1–188, 2016.

Book Chapters

  • Chaudhuri, A., Ghosh, S. K., Predictive Maintenance of Vehicle Fleets using LSTM Autoencoders for Industrial IoT Datasets, Book Chapter: Big Data Privacy and Security in Smart Cities, Richard Jiang et al (Editors), Springer, pp 103-118, 2022.
  • Chaudhuri, A., Ghosh, S. K., COVID19 Forecasting in India through Deep Learning Models, Book Chapter: Recent Advances in AI-enabled Automated Medical Diagnosis, Richard Jiang et al (Editors), Taylor and Francis, pp 41–61, 2022.
  • Chaudhuri, A., Ghosh, S. K., Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets, Book Chapter: Hybrid Artificial Intelligent Systems, Hugo Sanjurjo Gonzalez et al (Editors), Lecture Notes in Computer Science, Springer Verlag, LNCS 12886, pp 331–342, 2021.
  • Chaudhuri, A., Ghosh, S. K., Hierarchical Approach towards High Fidelity Image Generation, Book Chapter: Advances in Intelligent Systems and Computing, Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova (Editors), Advances in Intelligent Systems and Computing, Springer International Publishing, AISC 1225, pp 245–256, 2020.
  • Chaudhuri, A., Deep Learning Models for Face Recognition: A Comparative Analysis, Book Chapter: Deep Biometrics, Richard Jiang et al (Editors), Unsupervised and Semi-Supervised Learning, Springer, pp 99–140, 2020.
  • Chaudhuri, A., Some Insights and Observations on Depth Issues in Deep Learning Networks, Book Chapter: Advances in Computational Intelligence, Ingacio Rojas, Gonzalo Joya, Andreu Catala (Editors), Lecture Notes in Computer Science, Springer Verlag, LNCS 11506, Part I, pp 583–595, 2019.
  • Chaudhuri, A., B-Splines, Book Chapter: Encyclopedia of Computer Graphics and Games, Newton Lee (Editor), Encyclopedia of Computer Graphics and Games, 2019.
  • Chaudhuri, A., Shape Deformation Models, Book Chapter: Encyclopedia of Computer Graphics and Games, Newton Lee (Editor), Encyclopedia of Computer Graphics and Games, 2019.
  • Chaudhuri, A., Ghosh, S. K., Reducing Hierarchical Deep Learning Networks as Game Playing Artefact using Regret Matching, Book Chapter: Handbook of Deep Learning Applications, Valentina Balas, Sanjiban Sekhar Roy, Dharmendra Sharma, Pijush Samui (Editors), Smart Innovation, Systems and Technologies, Springer International Publishing, SIST 136, pp 345–362, 2019.
  • Chaudhuri, A., Ghosh, S. K., Hierarchical Fuzzy Deep Learning Networks for Predicting Human Behavior in Strategic Setups, Book Chapter: Advances in Intelligent Systems and Computing, Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova (Editors), Advances in Intelligent Systems and Computing, Springer International Publishing, AISC 764, pp 111–121, 2018.
  • Chaudhuri, A., Ghosh, S. K., Optical Character Recognition System for Czech Language using Hierarchical Deep Learning Networks, Book Chapter: Advances in Intelligent Systems and Computing, Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova (Editors), Advances in Intelligent Systems and Computing, Springer International Publishing, AISC 662, pp 114–125, 2017.
  • Chaudhuri, A., Ghosh, S. K., Hierarchical Rough Fuzzy Self Organizing Map for Weblog Prediction, Book Chapter: Artificial Intelligence Trends in Intelligent Systems, Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova (Editors), Advances in Intelligent Systems and Computing, Springer International Publishing, AISC 573, pp 188–199, 2017.
  • Chaudhuri, A., Ghosh, S. K., Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network, Book Chapter: Artificial Intelligence Perspectives in Intelligent Systems, Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova (Editors), Advances in Intelligent Systems and Computing, Springer International Publishing, AISC 464, pp 249–261, 2016.
  • Chaudhuri A., Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach, Book Chapter: Advances in Computational Intelligence, Ingacio Rojas, Gonzalo Joya, Joan Cabestany (Editors), Lecture Notes in Computer Science, Springer Verlag, LNCS 7902, Part I, pp 393–407, 2013.
  • Chaudhuri, A., Support Vector Machine Model for Currency Crisis Discrimination, Book Chapter: Selected Works in Infrastructural Finance, Rudra P. Pradhan (Editor), Macmillan Publishers, pp 249–256, 2011.
  • Chaudhuri, A., De, K., A Study of the Traveling Salesman Problem Using Fuzzy Self Organizing Map, Book Chapter: Traveling Salesman Problem, Theory and Applications, Donald Davendra (Editor), In Tech Open Access Publishers, pp 197–212, 2010.
  • Chaudhuri, A., De, K., Chatterjee, D., Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi-Layer Perception Networks, Book Chapter: Forecasting Financial Markets in India, Rudra P. Pradhan (Editor), Allied Publishers, pp 69–96, 2009.
  • Chaudhuri, A., De, K., Time Series Forecasting using Hybrid Neuro-Fuzzy Regression Model, Book Chapter: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, H. Sakai et al (Editors), Lecture Notes in Artificial Intelligence, Springer Verlag, LNAI 5908, pp 369–382, 2009.

Conference Papers

  • Chaudhuri, A., Hierarchical support vector regression for QoS prediction of network traffic data, 1st International Conference on Internet of Things and Machine Learning, Liverpool, United Kingdom, pp 15:1–15:6, 2017.
  • Chaudhuri, A., Ghosh, S. K., Hierarchical Intuitionistic Fuzzy Possibilistic C Means Kernel Clustering Algorithm for Distributed Network, 16th World Congress of International Fuzzy Systems Association and 9th Conference of European Society for Fuzzy Logic and Technology, Gijón, Spain, pp 1060–1067, 2015.
  • Chaudhuri, A., Ghosh, S. K., QoS Prediction for Network Data Traffic using Hierarchical Modified Regularized Least Squares Rough Support Vector Regression, The 30th ACM/SIGAPP Symposium on Applied Computing, Salamanca, Spain, pp 659–661, 2015.
  • Chaudhuri, A., Optimal Negotiation of SLA in Federated Cloud using Multi-objective Genetic Algorithms, Proceedings of 3rd IEEE International Conference on Cloud Networking, University of Luxembourg, Luxembourg, pp 269–271, 2014.
  • Chaudhuri, A., Fuzzy Rough Support Vector Machine for Data Classification, Rough Sets: Theory and Applications, Joint Rough Set Symposium, Universiteit Gent, Granada, Spain, pp 3, 2014.
  • Chaudhuri, A., De, K., Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression, Proceedings of 13th Conference of Society of Operations Management, Department of Management Studies, Indian Institute of Technology, Madras, Tamilnadu, India, pp 80–86, 2009.
  • Chaudhuri, A., De, K., Chatterjee, D., Fuzzy Integer Linear Programming Model for the Examination Timetable Problem, Proceedings of 1st Intelligent System Symposium, University of Aizu, Japan, pp 201–207, 2009.
  • Chaudhuri, A., De, K., Chatterjee, D., A Study of the Traveling Salesman Problem Using Fuzzy Self Organizing Map, Proceedings of 4th IEEE International Conference on Natural Computation, Volume 2, pp 3–7, 2008.
  • Chaudhuri, A., De, K., Chatterjee, D., A Comparative Study of Kernels for the Multi-class Support Vector Machine, Proceedings of IEEE Region 10 and 3rd International Conference on Industrial and Information Systems, pp 1–5, 2008.
  • Chaudhuri, A., A Dynamic Algorithm for the Longest Common Subsequence Problem using Ant Colony Optimization Technique, Proceedings of 2nd International Conference on Mathematics: Trends and Developments, Al-Azhar University, Cairo, Egypt, 4, pp 93–120, 2007.

Awards and Honors

  • Received Samsung Best Paper Award from Samsung Electronics, Korea Paper entitled weblog data prediction using self-organizing map in September, 2014.
  • Received the Best Paper Award from Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, India for the Paper entitled discovering stock price prediction rules of bombay stock exchange using rough fuzzy multi-layer perception networks at the National Conference on Forecasting Financial Markets in India in December, 2008.
  • Qualified Graduate Level Certificate of Competence in Software Technology Examination in 2000 conducted by National Centre for Software Technology, Mumbai, India (Now Centre for Development of Advanced Computing).

Associations

  • Cornell University
  • Chicago Booth
  • Skema Business School
  • Universite Bordeaux
  • IESEG
  • Frankfurt School of Finance and Management
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