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IMAN CHATTERJEE

PhD, Computer Science and Engineering

University of Cincinnati

Graduate Student Researcher

SKILLS:
Java|C|C++|Python|Matlab|Android|jQuery|JDBC|J2EE|Pro-C|OpenCV|HTML| JSON| CSS| JavaScript| AngularJS| PHP| D3.JS|NodeJS| ASP.Net|Unix| Robot Selenium Library| Docker| Puppet|Pip|Pytorch|Keras|Tensorflow|Oracle|SQL|NoSQL|PL/SQL|SQLite|Github|Vim|Visual Studio| SCRUM framework |AGILE development |Natural Language Processing | Wordpress | Expodb

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WORK EXPERIENCE

  1. Graduate Student Researcher, University of Cincinnati (August 2021-Present)

  2. Lead Graduate Teaching Assistant at University of California,Davis(January 2019-June 2020

  3. Intern at PwC (Pricewaterhouse Coopers)(July 2019-September 2019)
    Role: Intern in Data Analytics.

  4. Assistant System Engineer at Tata Consultancy Services(August 2016-June 2017)

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EDUCATIONAL BACKGROUND

1.PhD, Computer Science and Engineering, University of Cincinnati .

Session: August 2021-Present

2.Master of Science, Computer Science, University of California, Davis
 Session: Aug 2018- June 2020
3. Bachelor of Technology, Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology .      Session: August 2012-June 2016

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PUBLICATIONS

1. Chatterjee, I., Goršič, M., Hossain, M. S., Clapp, J. D., & Novak, V. D. (2023). Automated classification of dyadic conversation scenarios using autonomic nervous system responses. IEEE Transactions on Affective Computing.
2. Chatterjee, I., Goršič, M., Clapp, J. D., & Novak, D. Automatic Estimation of Interpersonal Engagement During Naturalistic Conversation Using Dyadic Physiological Measurements. Frontiers in Neuroscience, 1440. (Citations: 3)
3. Chatterjee, I., Ghosh, M., Singh, P. K., Sarkar, R., & Nasipuri, M. (2019). A clustering‐based feature selection framework for handwritten Indic script classification. Expert Systems, 36(6), e12459. (Citations: 17)
4. Singh, P. K., Chatterjee, I., & Sarkar , R. (2015, July). Page-level handwritten script identification using modified log-Gabor filter based features. In 2015 IEEE 2nd International Conference on Recent Trends in Information Systems(ReTIS)(pp. 225-230). IEEE. (Citations:25)
5. Chatterjee, I., & Ray , S. (2019). Smartphone-based Drowsiness Detection System for Drivers in Realtime. IEEE ANTS. (Citations: 5)
6. Singh, P. K., Chatterjee, I., Sarkar, R., Smith, E. B., & Nasipuri, M. (2021). A new feature extraction approach for script invariant handwritten numeral recognition. Expert Systems, e12699. (Citations: 3)

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