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Sharad Sharma

Title: Professor

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

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

Current Scheduled Teaching

INFO 4900.020Special ProblemsSpring 2025
DTSC 5777.020Virtual Reality and Its ApplicationsSpring 2025
INFO 6660.053Readings in Information ScienceFall 2024
DTSC 4565.020Software Engineering for Data ScienceFall 2024 Syllabus
DTSC 5565.020Software Engineering for Data ScientistsFall 2024

Previous Scheduled Teaching

INFO 4900.020Special ProblemsSpring 2024 SPOT
INFO 5777.020Virtual Reality and its ApplicationsSpring 2024 SPOT
DTSC 5565.020Software Engineering for Data ScientistsFall 2023 SPOT
INFO 5900.021Special ProblemsSpring 2023 SPOT
INFO 5501.021Fundamentals of Data AnalyticsFall 2022 SPOT

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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