Faculty Profile

Sharad Sharma

Title
Professor
Department
Information Science
College
College of Information

    

Education

PhD, Wayne State University, 2006.
Major: Computer Engineering
Degree Specialization: Software Engineering and Artificial Intelligence
Dissertation Title: Modeling and Simulation of Multi-Agent Systems for Emergency Scenarios
MS, University of Michigan, Ann Arbor, 2003.
Major: Architecture
Degree Specialization: Computer-Aided-Design
Dissertation Title: Collaboration, Simulation and Graphic Design in Java and C++
BArch, Birla Institute of Technology, India, 1999.
Major: Architecture
Dissertation Title: Assam Capital Complex

Current Scheduled Teaching*

INFO 4900.020, Special Problems, Spring 2024
INFO 5777.020, Virtual Reality and its Applications, Spring 2024

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

DTSC 5565.020, Software Engineering for Data Scientists, Fall 2023 SPOT
INFO 5900.021, Special Problems, Spring 2023 SPOT
INFO 5501.021, Fundamentals of Data Analytics, Fall 2022 Syllabus SPOT

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Book Chapter
Sharma, S. (2022). Multi-agent Crowd Simulation in an Active Shooter Environment. Lecture Notes in Computer Science. https://link.springer.com/chapter/10.1007/978-3-031-06015-1_8
Sharma, S., Bodempudi, S., Reehl, A. (2021). Real-Time Data Analytics of COVID Pandemic Using Virtual Reality. Lecture Notes in Computer Science. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-77599-5_9
Sharma, S. (2020). Improving Emergency Response Training and Decision Making Using a Collaborative Virtual Reality Environment for Building Evacuation. Lecture Notes in Computer Science. https://link.springer.com/chapter/10.1007/978-3-030-59990-4_17
Sharma, S., Bodempudi, S., Scribner, D., Grynovicki, J., Grazaitis, P. (2019). Emergency Response Using HoloLens for Building Evacuation. Lecture Notes in Computer Science. 11574, . Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-21607-8_23
Journal Article
Sharma, S., Pesaladinne, R. R. (2023). Spatial Analysis and Visual Communication of Emergency Information through Augmented Reality. Other. 67(6), 1-9. Society for Imaging Science and Technology. https://library.imaging.org/jist/articles/67/6/060401
Arteaga, C., Park, J., Morris, B. T., Sharma, S. (2023). Effect of trained evacuation leaders on victims' safety during an active shooter incident. Other. 158, 105967. Elsevier: Safety Science. https://www.sciencedirect.com/science/article/pii/S092575352200306X
Rajeev, S., Sharma, S. (2020). Evaluation of Game-Theme Based Instructional Modules for Data Structure Concepts. Other. 27(1), . IJCA.
Stigall, J., Bodempudi, S., Sharma, S., Scribner, D., Grynovicki, J., Grazaitis, P. (2019). Use of Microsoft HoloLens in indoor evacuation. Other. 26(1), . IJCA.
Oladunni, T., Sharma, S. (2018). H2O Deep Learning for Hedonic Pricing. Other. 25(1), . IJCA.
Sharma, S. (2017). A Collaborative Virtual Environment for Safe Driving in a Virtual City by Obeying Traffic Laws". Other. 5(2), 84-91. http://www.jtle.net/uploadfile/2017/1226/20171226050605254.pdf
Sharma, S., Ogunlana, K., Scribner, D., Grynovicki, J. (2017). Modeling human behavior during emergency evacuation using intelligent agents: A multi-agent simulation approach. Information Systems Frontiers. 20, 741–757. https://link.springer.com/article/10.1007/s10796-017-9791-x#citeas
Onodueze, F., Sharma, S. (2017). Rijndael Algorithm for Database Encryption on a Course Management System. Other. 24(1), . IJCA.
Oladunni, T., Sharma, S. (2016). Predicting Fair Housing Market Value: A Machine Learning Investigation. Other. 23(3), . IJCA.
Sharma, S., Ogunlana, K. (2015). Using Genetic Algorithm & Neural Network for modeling learning behavior in a Multi-Agent System during Emergency Evacuation. Other. 22(4), 172-182. IJCA.
Lohgaonkar, S., Sharma, S. (2012). Online assessment system with offline capabilities. Other. 3(1), 32-37. JCTA-E20111006-1.
Sharma, S. (2012). Use of favorite goal in agent based modeling and simulation. Other. 19(1), 1-9. IJCA.
Sharma, S., Doswell, J. (2012). Pattern matching and information extraction in a software system for a battlefield environment. Other. 12(s1), 113–118.
Sharma, S. (2010). Military route planning in battle field simulations for a multi-agent system. Other. 10(1,2), S97-S105.
Sharma, S. (2010). Fuzzy approach for predicting probability of reaching a target in a battlefield environment. Other. 17(1), 16-24. IJCA.
Sharma, S. (2009). Avatarsim: A multi-agent system for emergency evacuation simulation. Other. 9(1,2), S13-S22.
Sharma, S., Singh, H., Prakash, A. (2008). Multi-agent modeling and simulation of human behavior in aircraft evacuations. Other. 44(4), 1477 - 1488. IEEE.
Sharma, S., Turner, J. (2004). An object oriented approach to simulating agent-based behavior. Other. 310-312.
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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