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Dr. Michael Totaro worked in industry as a programmer, database developer, and network administrator from 1982 until 1989. He joined the Å·ÃÀÈý¼¶Æ¬ in August of 1989 and became a faculty member in August 1996. He has been with the School of Computing and Informatics since its creation in Fall 2011, and has served previously as program coordinator for the undergraduate program in Informatics.

He teaches graduate and undergraduate courses in Informatics, as well as directing masters and doctoral students in their research, masters theses and doctoral dissertations.

Dr. Totaro has authored/co-authored dozens of conference and journal papers since 1996. He received his Ph.D. in computer science in 2007, masters degrees in telecommunications (1999) and business administration (1988), and a B.S. in computer science (1982), all from Å·ÃÀÈý¼¶Æ¬. Dr. Totaro is currently pursuing an M.A. in Theology (Dogmatic Theology Concentration) at Holy Apostles College & Seminary.

B.S. Computer Science, 1982
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Master of Business Administration (MBA), 1988
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M.S. Telecommunications, 1999
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Ph.D. Computer Science, 2007

Dr. Totaro's research interests are in:

• Intelligent systems
• AI/machine and deep learning
• Simulation and modeling

Opportunities for Student Research/Collaboration:

Dr. Totaro directs undergraduate research, as well as masters and doctoral graduate research.

Recent Publications:

• "Equivalence of Product Ciphers to Substitution Ciphers and their Security Implications"
• Albert Carlson, Sai Ranganath Mikkilineni, Michael W Totaro, Richard B Wells, Robert E Hiromoto
• 2022 IEEE International Symposium on Networks, Computers and Communications (ISNCC)
• "A Venona Style Attack to Determine Block Size, Language, and Attacking Ciphers"
• Albert Carlson, Sai Ranganath Mikkilineni, Michael W Totaro, Christopher Briscoe
• 2022 IEEE International Symposium on Networks, Computers and Communications (ISNCC)
• "An Introduction to Local Entropy and Local Unicity"
• Albert Carlson, Sai Ranganath Mikkilineni, Michael W Totaro, Robert E Hiromoto, Richard B Wells
• 2022 IEEE International Symposium on Networks, Computers and Communications (ISNCC)
• "Gradient Difference-Predictive Coding Network (GD-PredNet): Reducing the Convergence Time for Future Frame Prediction with Infinitesimal Quality Trade-off"
• Sai Ranganath Mikkilineni, Taylor D Privat, Michael Wayne Totaro
• IEEE SoutheastCon 2022
• "Space Selection and Abstraction in Set Theoretic Estimation"
• Albert Carlson, Shivanjali Khare, Indira Kalyan Dutta, Bhaskar Ghosh, Michael Totaro
• 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)
• "Modeling Polymorphic Ciphers"
• Albert Carlson, Indira Kalyan Dutta, Bhaskar Ghosh, Michael Totaro
• 2021 IEEE Sixth International Conference on Fog and Mobile Edge Computing (FMEC)
• "Key Space Reduction Using Isomorphs"
• Albert Carlson, Bhaskar Ghosh, Indira Kalyan Dutta, Shivanjali Khare, Michael Totaro
• 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
• "The Performance of Prednet Using Predictive Coding in the Visual Cortex: An Empirical Analysis"
• Sai Ranganath Mikkilineni, Michael Wayne Totaro
• 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)
• "A Novel Energy Aware Secure Internet of Drones Design: ESIoD"
• Sayani Sarkar, Shivanjali Khare, Michael W Totaro, Ashok Kumar
• IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
• "Real-time object processing and routing for intelligent drones: A novel approach"
• Sayani Sarkar, Michael W Totaro, Ashok Kumar, Khalid Elgazzar
• IEEE Computer Journal
• "Generative Adversarial Networks in Security: A Survey"
• Indira Kalyan Dutta, Bhaskar Ghosh, Albert Carlson, Michael Totaro, Magdy Bayoumi
• 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
• "An Empirical Analysis of Generative Adversarial Network Training Times With Varying Batch Sizes"
• Bhaskar Ghosh, Indira Kalyan Dutta, Albert Carlson, Michael Totaro, Magdy Bayoumi
• 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
• "Mathematical Modeling and Prediction of Neural Network Training based on RC Circuits"
• Bhaskar Ghosh, Indira Kalyan Dutta, Albert Carlson, Michael Totaro
• 2020 IEEE International Symposium on Networks, Computers and Communications (ISNCC)
• "A Survey on the Progression and Performance of Generative Adversarial Networks"
• Bhaskar Ghosh, Indira Kalyan Dutta, Michael Totaro, Magdy Bayoumi
• 2020 IEEE 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
• "Ensemble Learning for Detecting Attacks and Anomalies in IoT Smart Home"
• Shivanjali Khare, Michael Totaro
• 2020 IEEE 3rd International Conference on Data Intelligence and Security (ICDIS)
• "Comparison of Sensor-Based Datasets for Human Activity Recognition in Wearable IoT"
• Shivanjali Khare, Sayani Sarkar, Michael Totaro
• 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)
• "An Intelligent Framework for Prediction of a UAV’s Flight Time"
• Sayani Sarkar, Michael W Totaro, Ashok Kumar
• 2020 IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)

For more publications, .

• UL Lafayette Foundation Eminent Faculty Award: 2017 Dr. Ray P. Authement Excellence in Teaching Award 
• 2017 Ray P. Authement College of Sciences Outstanding Teacher Award 
• UL Lafayette Award for Excellence in Academic Advising, 2018 Academic Year (Received 2017) 
• UL Lafayette Award for Excellence in Academic Advising, 2017 Academic Year (Received 2018) 
• UL Lafayette Award for Excellence in Academic Advising, 2015 Academic Year (Received 2016) 
• UL Lafayette Award for Excellence in Academic Advising, 2012 Academic Year (Received 2013) 
• UL Lafayette Award for Excellence in Academic Advising, 2011 Academic Year (Received 2012) 
• UL Lafayette Award for Excellence in Academic Advising, 2007 Academic Year (Received 2008) 
• The Times of Acadiana, Best UL Professor, 2008 
• John T. & Sandra B. Landry Award for Teaching Excellence (Received 2007) 
• UL Lafayette Award for Excellence in Academic Advising, 2006 Academic Year (Received 2007) 
• UL Lafayette Award for Excellence in Academic Advising, 2005 Academic Year (Received 2006) 
• B. I. Moody III College of Business Administration Advising Award (Received 2005) 
• John T. & Sandra B. Landry Award for Teaching Excellence (Received 2003)