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HBCU University Day presenters selected

[vcex_button url=”https://doolittleinstitute.org/wp-content/uploads/2021/02/2021-HBCU-Day-Agenda-FINAL.pdf” title=”Agenda” style=”Flat” align=”right” margin=”20px” color=”blue” size=”medium” target=”blank” rel=”none”]Download Agenda[/vcex_button]The Air Force Research Lab Munitions Directorate  (AFRL/RW) and the Doolittle Institute are pleased to announce the selected presenters for our Historically Black Colleges and Universities (HBCU) Day. They are:

Novel sensing/detection for extreme environments 

  • Dr. Igor Filikhi, North Carolina Central University: Binary-nanostructure based detector
  • Dr. Nihar Pradhan, Jackson State University: Vander Waals layered 2D Materials for High Performance
  • Dr. Karen Dvoyan, North Carolina Central University: Detectors capturing structural changes and vibrations
  • Dr. Robert Strausbaugh, University of the Virgin Islands: Developing Infrared Systems Technology at the University of the Virgin Islands for Astronomy and Defense
  • Dr. J. David Schall, North Carolina A&T State University: Influence of MoS2 grain size on adhesion
  • Dr. Camilo Ordonez, FAMU-FSU: Deployable and Retractable Sensor to Enable Tatical Robotic Missions on Water Streams
  • Professor Abdennaceur Karoui, North Carolina Central University: Hybrid Piezoelectric Materials and Strain Tensor Sensor (STS) for Structural Health Monitorings

High performance materials for additive manufacturing 

  • Dr. Ranganathan Parthasarathy, Tennessee State University: Multi-physics process modeling for additive manufacturing or nickel superalloys for aerospace applications
  • Dr. Sanjay Behura, University of Arkansas at Pine Bluff:  Additive Manufacturing of Mixed-Dimensional Heterostructures for Extreme Environment Sensing: An Experimental and Machine Learning Approach

Machine learning and physical systems  

  • Dr. Lichun Li,FAMU-FSU College of Engineering: Transfer Learning of New Features in Physics-Informed Neural Networks
  • Dr. Shyam Kattel, Florida A&M University: Machine Learning method to study heterogeneous surface catalysis
  • Dr. Charalambos Konstantinou, FAMU-FSU College of Engineering: Physics-Informed Neural Networks for Securing Cyberphysical Systems
  • Dr. Joseph Starobin, University of North Carolina at Greensboro: Physics informed Neural networks mimicking learning processes in human brain
  • Dr.  William Oates, FAMU-FSU: Extracting Physical Models from Probability Inference

Machine learning and aerodynamic models 

  • Dr. Rajan Kumar, FAMU-FSU College of Engineering: High-Speed Weapon Aerodynamics Models

Correlating material structure to behavioral response in energetic materials

  • Dr. Hessam Yazdani, Howard University: Multiscale mechanics- and image-based machine learning models for predicting mechanical properties of polymer nanocomposites

Seeker sensors new architecture concepts and technologies

  • Dr. Peng He, North Carolina Agricultural and Technical State University: A Dual Signal Amplification in DNA Biosensing

Registration to listen to these scientists present their cutting-edge research is open until February 9, 2021.

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