Java程序辅导

Jayati Halder Jui
Email: jaj146@pitt.edu.edu
LinkedIn: jayati-halder-jui
GitHub: juijayati
Research Interests
Machine Learning, Data Mining, Time-Series Prediction
Education
University of Pittsburgh (PITT) Pittsburgh, PA
Ph.D. in Computer Science, Advisor: Dr. Milos Hauskrecht Jan 2020 –Current
Louisiana State University (LSU) Baton Rouge, LA
M.S. in Computer Science, CGPA: 3.89/4.00 2017 –2019
– Thesis: “A Two-Step Classification Platform to classify construction sounds to enhance real-time construction
zone monitoring”
– Advisor: Dr. Jianhua Chen and Dr. Sukhamay Kundu
Bangladesh University of Engineering and Technology (BUET) Dhaka, Bangladesh
B.Sc. in Computer Science and Engineering, CGPA: 3.55/4.00 2012 –2017
– Thesis: “The k -Coverage Problem in Visual Sensor Networks: a Target Oriented Approach”
– Advisor: Dr. A.K.M. Ashikur Rahman
Experience
ML Lab (PITT) — Graduate Student Researcher Fall 2020
– Project: Regenerative Electronic Platform through Advanced Intelligent Regulation
– Working on data-driven modelling of wound healing process
CS (PITT) — Graduate Teaching Assistant Summer 2020
– Grader of CS 0401 (Intermediate Programming using Java)
CS (LSU) — Graduate Teaching Assistant Aug 2017 –May 2019
– Duties involved grading, lab recitations, preparing lectures and supervising exams
CICI Lab (LSU) — Graduate Student Worker Summer 2018
– Project: Real-Time Audio-Based Construction Monitoring System and Decision-Making Framework
– Developed a website for visualizing different activities of a construction site in real time using Django, Leaflet
and AWS RDS.
Publications
Papers
[1] Y. Xie, Y. Lee, T. Huther daCosta, J. Park, J. Jui, J. Choi, and Z. Zhang, “Construction data-driven
dynamic sound data training and hardware requirements for autonomous audio-based site monitoring”, in
ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction,
IAARC Publications, vol. 36, 2019, pp. 1011–1017.
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Posters
[2] J. H. Jui, S. Banik, and A. Rahman, “Target oriented k-coverage in visual sensor networks”, presented at
the 2017 International Conference on Networking, Systems and Security (NSysS), Jan. 2017.
Skills
• Proficient: Python, R, Matlab, Java, C++, HTML/CSS, Shell
• Familiar: PHP, Javascript, Assembly, Prolog, OpenGL, SQL
• Tools & Frameworks Tensorflow, Keras, PyTorch, Scikit-Learn, Django, Git, AWS, Leaflet, SAS, LATEX
Scholarships and Awards
• PITT School of Computing and Information Fellowship Spring 2020
• CRA-W Scholarship for the Graduate Cohort 2020
• Dean’s Honor List 2013
• Award for excellence in secondary and higher secondary education, Ministry of Education, Govt. of Bangladesh
2009 2016
Activities
• Communication Officer, Computer Science Graduate Student Organization Aug 2020–Current
Promote a better communication among members of the organization and its affiliated organizations
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