Research

Research Funding

Dr. Onyebueke’s Research Funding (2014-2020)

  1. PI, “Partnership for Research and Education Consortium in Ceramics and Polymers (PRE-CCAP)”, ($897,873.00) from DOE/NNSA, Oct. 2018 – Sept 2021.
  2. Co-PI, Mathematical Modeling of Micro-grid Energy System with Li-ion Storage Bank” ($422,175.00) from TN-SCORE, Sept. 2013 – Dec. 2016
  3. Co-PI, “Modeling and Simulation of Li-ion Batteries”, ($191,210.00) from AFRL, Sept. 2013 to Nov. 2015.
  4. PI, “Energy Harvesting and Storage Systems”, ($385,840.00) from the Boeing Company, Sept. 2012 –December. 2015. 

 

Dr. Shirkhodaie’s Research Funding (2014-2020)

  1. Principal Investigator, “Ground and Airborne Synthetic Multi-Modal Imagery Data Generation for Training of Deep Learning Classifiers,” sponsored by the Office of Naval Research, funded $375,645, August 1, 2018 – July 30, 2022. 
  2. Principal Investigator, “Layered Sensing Exploitation and Fusion in Contested Environments,” sponsored by the Wright Patterson Air Force Laboratory, funded $220,000, November 15, 2013 – November 15, 2018. 
  3. Principal Investigator, “Development of Automated Visual Inspection Capabilities for Non-Metallic Components: Phase-I,” sponsored by the Rolls-Royce Corporation (RRC), Indianapolis, IN, funded $75,000, Project Period, March 1, 2016 – December 31, 2017. 
  4. Principal Investigator, “Detection of Partially Observable Group Activities in Confined Obstructed Spaces,” sponsored by the US Army Research Office, funded $333,602, April 22, 2013 – May 1, 2017.
  5. Co-Principal Investigator, “Unified Research on Network-based Hard/Soft Information Fusion,” sponsored by the US Army Research Office, Funded $625K, August/1/2009 – July/30/2014.

 

Dr. Akbar’s Research Funding (2014-2020)

  1. Muhammad Akbar (PI): Excellence in Research: Effect of Hurricane Structure, Track, and Landfall Features on Storm Surges. Funded by the National Science Foundation, May 15, 2020 to May 14, 2023, $406,331.
  2. Woong Yeol Joe (PI), Muhammad Akbar (Co-PI):  Design and Manufacturing of Advanced Multi-dimensional Mesostructured Composite Skins for Morphing Wings. Air Force Research Laboratory, September 1, 2016 to August 31, 2018. $200,000.
  3. Lonnie Sharpe (PI), Roger Painter (Co-PI), Muhammad Akbar (Co-PI):  Film Cooling Processes for Gas Turbine Blades Using Numerical Simulation Methods. Air Force Research Laboratory, January 1, 2015 to December 31, 2015. $90,000.
  4. Muhammad Akbar (PI): Research Initiation Award: Development and Study of an Implicit Model for Rapid and Accurate Simulation of Hurricane Storm Surge. Funded by the National Science Foundation, June 15, 2014 to May 31, 2017, $209,403.
  5. Muhammad Akbar (PI): Implicit Solver for ADCIRC Storm Surge Model. Funded by the Department of Homeland Security, May 01, 2014 to March 30, 2015. Amount $44,101.

 

Dr. Fasoro’s Research Funding (2014-2020)

  1. Co-PI, (FY 2018-2021), DOE/NNSA Minority Serving Institution Partnership Program, Pipeline Development of STEM through Advanced Manufacturing (STEAM) Consortium $ 3,000,000 (Funded).
  2. PI and Program Director (FY 2018-2020), Verizon Innovative Learning (VIL) for Minority Males (MM) $300,000, (Funded).
  3. PI (FY 2016), DoD Research and Education Program for Historically Black Colleges and Universities and minority-Serving Institutions (HBCU/MI): Equipment/Instrumentation, “Instrumentation for Teaching and Research in Additive Manufacturing”, $336,560.00, (Funded).
  4. PI and Program Director (FY 2016-2018), Verizon Innovative Learning (VIL) for Minority Males (MM) $400,000, (Funded).
  5. Co-PI (FY 2014-2018), Air Force Research Laboratory (AFRL/RX), Research Collaboration Program $516,609, (Funded).

 

Research Publications

Dr. Onyebueke’s Publications and Presentations (Partial)

  1. “Comparative Analysis of the Strength properties of Specimens Printed from Three Different Types of 3-D Printers”, Shamsu, M., Segni T., Joaquim, O., Fagbuyi, O., Onyebueke, L., and Ouyang, L., ASME 2020 IMECE.
  2. “Design and Optimization of a Microgrid System with Hybrid Renewable Energy Sources for Sub Saharan Africa”, Fagbuyi, O., Joaquim, O., Ezeilo, C., Onyebueke, L., Ouyang, L., ASME 2020 IMECE.
  3. “Modeling of a Hybrid Energy System Integrated with an Intermittent Power Grid in Developing Countries”, Oke, K., Bello, O., and Onyebueke, L., ASME 2014 IMECE
  4. “Optimization of Smart Grid Renewable Energy Application”, Bello, O., and Onyebueke, L., ASME 2014 IMECE
  5. “Economic Modeling of Hybrid Energy System”, Bello, O., Onyebueke, L., and Roberts-Smith, D., ASME 2013 IMECE.
  6. “The Integration of Quality Function Deployment and Computer Aided Design in Seat Comfort Design Analyses”, Amer, S., and Onyebueke, L., ASME 2013 IMECE
  7. “Determining Compatibility of Battery Storage Systems with Hybrid PV-Wind-Diesel Energy System”, Roberts-Smith, D. and Onyebueke, L., ASME 2012 IMECE.
  8. “Experimental Validation of the Computer Aided Design Technique for Seat Comfort Design and Evaluation”, Amer, S., and Onyebueke, L., SAE International 2012.
  9. “Expanded Accommodation Technique with Application to Maintenance Environment”, Onyebueke, L., Ojetola, A., and Winkler, E., SAE International 2011
  10. “Characterizing and Modeling Mechanical Properties of Nanocomposites-Review and Evaluation”, Hu, H., Onyebueke, L., and Abatan, A., JMMCE Vol. 9, No. 4, pp 275-319, 2010.

 

Dr. Shirkhodaie’s Publications and Presentations (2014-2020)

  1. Ahmadibeni, Ali, Jones, Branndon, Smith, Damiyelle, and Shirkhodaie, Amir, “Dynamic Transfer Learning From Physics-based Simulated SAR Imagery for Automatic Target Recognition,” in the Dynamic Data Driven Applications Systems (DDDAS) Conference, Boston, MA, Oct 2-4, (2020).
  2. Jones, Branndon, Ahmadibeni, Ali, Beard, Maxine, and Shirkhodaie, Amir, “Physics-based SAR Modeling and Simulation for Large-scale Data Generation of Multi-Platform Vehicles for Deep Learning-based ATR,” in the Dynamic Data Driven Applications Systems (DDDAS) Conference, Oct 2-4, 2020, Boston, MA.
  3. Ahmadibeni, Ali, Jones, Branndon, and Shirkhodaie, Amir, “Transfer Learning from Simulated SAR Imagery Using Multi-output Convolutional Neural Networks,“ in the SPIE 2020 Optics + Photonics Conference, San Diego, CA. 24-28 August, 2020.
  4. Jones, Branndon, Ahmadibeni, Ali, and Shirkhodaie, Amir, “Physics-based Simulated SAR Imagery Generation of Vehicles for Deep Learning Applications,” in the SPIE 2020 Optics + Photonics Conference, San Diego, CA. 24-28 August, 2020.
  5. Jones, Branndon, Ahmadibeni, Ali, and Shirkhodaie, Amir. “Marine Vehicles Simulated SAR Imagery Datasets Generation,” SPIE Defense + Commercial Sensing, Ocean Sensing and Monitoring XII, paper 11420-24, April 22 (2020).
  6. Ahmadibeni, Ali, Borooshak Leila, and Shirkhodaie, Amir, “Aerial and Ground Vehicles Synthetic SAR Dataset Generation for Automatic Target Recognition,” SPIE Defense + Commercial Sensing, Algorithms for Synthetic Aperture Radar Imagery XXVII, paper 11393-20, April (2020).
  7. Ahmadibeni, Ali, Borooshak Leila, Jones, Branndon, and Shirkhodaie, Amir, “Automatic Target Recognition of Aerial Vehicles Based on Synthetic SAR Imagery Using Hybrid Stacked Denoising Autoencoders,” SPIE Defense + Commercial. Sensing, Alg. for Synthetic Aperture Radar Imagery XXVII, paper 11393-25, April (2020).
  8. Shirkhodaie A., and B. Kalyankumar, “Multi-camera Multi-target Perceptional Activity Recognition Via Meta-data Fusion, presented in the SPIE Defense and Security Conference, Signal Processing, Sensor/Information Fusion, Target Recognition XXVII, 10646-28, Orlando, FL, April 16-19, (2018).
  9. Shirkhodaie A., “Deep Learning of Group Activities From Partially Observable Surveillance Video Streams,” presented in the SPIE Defense and Security Conference, Signal Processing, Sensor/Information Fusion, Target Recognition XXVII, 10646-42, Orlando, FL, April 16-19, (2018).
  10. Shirkhodaie A., Zhang, C., Borooshak L., Zhou, Y., Ahmadibeni, A., “Object Recognition and Tracking Based on Multiscale Synthetic SAR and IR,” presented in the SPIE Defense and Security Conference, Signal Processing, Sensor/Information Fusion, Target Recognition XXVII, 10646-43, Orlando, FL, April 16-19, (2018).
  11. Shirkhodaie A., Zhou, Y., Borooshak Leila, “Multiscale Synthetic SAR and IR Imagery Features Generation in the Cluttered Virtual Environment,” presented in the SPIE Defense and Security Conference, Signal Processing, Sensor/Information Fusion, Target Recognition XXVII, 10646-44, Orlando, FL, April 16-19, (2018).
  12. Shirkhodaie, A., and Chan, A., “Joint Object and Action Recognition Via Fusion of Partially Observable Surveillance Imagery Data,” in the 2017 SPIE Defense, Security and Sensing Conference, Signal Processing, Sensor/Information Fusion and Target Recognition XXVI, Anaheim, CA, April (2017).
  13. Shirkhodaie, A., Telagamsetti, D., and Chan, A, “Utilization-based Object Recognition in Confined Space,” in the 2017 SPIE Defense, Security and Sensing Conference, Signal Processing, Sensor/Information Fusion and Target Recognition XXVI, Anaheim, CA, April (2017).
  14. Telagamsetti, D., Poshtyar, A., Shirkhodaie, A., Chan, A., and Hu Shuowen, “In-Vehicle Group Activity Modeling and Simulation in Sensor-based Virtual Environment ,” in the 2016 SPIE Defense, Security and Sensing Conference, Signal Processing, Sensor/Information Fusion and Target Recognition XXV, Baltimore, Maryland, April (2016).
  15. Poshtyar A., Shirkhodaie, A., Chan, A., and Hu Shuowen, “Skin Subspace Color Modeling for Daytime and Nighttime Group Activity Recognition in Confined Operational Spaces ,” in the 2016 SPIE Defense, Security and Sensing Conference, Signal Processing, Sensor/Information Fusion and Target Recognition XXVI, Baltimore, MD, April (2016).
  16. Shirkhodaie, A., Chan, A., and Hu Shuowen, “Hand Gestures Recognition in Confined Spaces with Partial Observability and Occultation Constraints,” in the 2016 SPIE Defense, Security and Sensing Conference, , Signal Processing, Sensor/Information Fusion and Target Recognition XXVI,  Baltimore, MD, April (2016).
  17. Poshtyar, A., Elangovan, V., Shirkhodaie, A., A. Chan, and S. Hu, “Physical Environment Virtualization for Human Activities Recognition,” in the SPIE Defense   and Security Conference, Modeling and Simulation for Defense Systems and Applications X, Baltimore, MD, April 20, (2015).
  18. Elangovan, V., and Shirkhodaie, A., “Recognition of Human-Vehicle Interactions in Group Activities Via Multi-Attributed Semantic Message Generation,” in the SPIE Defense and Security Conference, Modeling and Simulation for Defense Systems and Applications X, Baltimore, MD, April 22, (2015).
  19. Habibi, M. S., and Shirkhodaie, A., "Multi-attributed tagged big data exploitation for hidden concepts discovery", SPIE Defense, Security and Sensing Conference, Baltimore, Maryland, April (2014).
  20. Alkilani, A., and Shirkhodaie, A., “Acoustic events semantic detection, classification, and annotation for persistent surveillance applications”, SPIE Defense, Security and Sensing Conference, Baltimore, Maryland, April (2014).

 

Dr. Akbar’s Publications and Presentations  (2014-2020)

  1. Alsaidi, B., Joe, W. Y., & Akbar, M. (2019). Simplified 2D Skin Lattice Models for Multi-Axial Camber Morphing Wing Aircraft. Aerospace, 6(8), 90.
  2. Alsaidi, B., Joe, W. Y., & Akbar, M. (2019). Computational Analysis of 3D Lattice Structures for Skin in Real-Scale Camber Morphing Aircraft. Aerospace, 6(7), 79.
  3. Musinguzi, A., Akbar, M. K., Fleming, J. G., & Hargrove, S. K. (2019). Understanding Hurricane Storm Surge Generation and Propagation Using a Forecasting Model, Forecast Advisories and Best Track in a Wind Model, and Observed Data—Case Study Hurricane Rita. Journal of Marine Science and Engineering, 7(3), 77.
  4. Alghamdi, A., Akbar, M.K. (2018) Implementation of an Implicit Solver in ADCIRC Storm Surge Model.  J. Mar. Sci. Eng. 6, 62.
  5. Traum, M. J., Hadi, F., & Akbar, M. K. (2018). Extending “Assessment of Tesla Turbine Performance” Model for Sensitivity-Focused Experimental Design. Journal of Energy Resources Technology, 140(3).
  6. Alghamdi, A., Akbar, M. (2017). Profiling and Evaluation of Implicit and Explicit Storm Surge Models. Int. J. Comput. Theory Eng, 9, 417-421.
  7. Akbar, M., Kanjanda, S., Musinguzi, A. (2017). Effect of Bottom Friction, Wind Drag Coefficient, and Meteorological Forcing in Hindcast of Hurricane Rita Storm Surge Using SWAN+ADCIRC Model. Journal of Marine Science and Engineering, 5(3), 38.
  8. Akbar, M. K., Luettich, R. A., Fleming, J. G., & Aliabadi, S. K. (2017). CaMEL and ADCIRC Storm Surge Models—A Comparative Study. Journal of Marine Science and Engineering, 5(3), 35.
  9. Akbar, M., Alsaidi, B., Painter, R., Sharpe, L., Ghiaasiaan, M. The Effects of Coolant Pipe Geometry and Flow Conditions on Turbine Blade Film Cooling, Journal of Thermal Engineering (accepted for publication on Dec 7, 2016).
  10. 10.  Bryant, K. M., Akbar, M. (2016). An Exploration of Wind Stress Calculation Techniques in Hurricane Storm Surge Modeling. Journal of Marine Science and Engineering, 4(3), 58.
  11. Bryant, K., Musinguzi, A., Akbar, M., & Fleming, J. G. (2020, May). Hurricane Storm Surge from Irma and Maria in Puerto Rico and the Virgin Islands: Analyzing Wind, Pressure, Track, Forward Speed, Rain, and the Saffir-Simpson Scale. In 34th Conference on Hurricanes and Tropical Meteorology. AMS.
  12. Bryant, K., Musinguzi, A., & Akbar, M. (2019, January). The Saffir–Simpson Scale: Simple, Straightforward, and Insufficient. In 99th American Meteorological Society Annual Meeting. AMS.
  13. Alsaidi, Bashir, Muhammad Akbar, Sara La, W. Yeol Joe, Hangil You, Seongik Kim, and Gunjin Yun. "Modeling and Stress Analysis of Composite Skin Structure for Camber Morphing Wing." In 2018 Multidisciplinary Analysis and Optimization Conference, p. 2934. 2018.
  14. Traum, Matthew J., Muhammad K. Akbar, Mohammad Habibi, Fatemeh Hadi, S. Keith Hargrove, and W. Yeol Joe. "Introducing the TOP-DOWN-TOP Pedagogy: Systems Thinking that Inspires, Engages, & Promotes Persistence." (2018).
  15. Bryant, K., Alghamdi, A., Musinguzi, A., and Akbar, M. "Incorporating Rainfall into Storm Surge Prediction for Hurricane Irma" 33rd Conference on Hurricanes and Tropical Meteorology, 16-20 April 2018, Ponte Vedra Beach, Florida.
  16. La, S., Joe, W.J., Akbar, M.K. Surveys on Skin Design for Morphing Wing Aircraft: Status and Challenges (Control ID#: 2795396). AIAA Science and Technology Forum and Exposition (SciTech 2018). Kissimmee, Florida, 8-12 January 2018.
  17. Alsulami, A., Akbar, M.K., Joe, W.J. A Comparative Study: Aerodynamics of Morphed Airfoils Using CFD Techniques and Analytical Tools,” IMECE2017- 72269, Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition (IMECE2017), Tampa, Florida, USA, November 3-9, 2017.
  18. Alamri, S., Alamri, T., Almutairi, S., Akbar, M.K., Hadi, F., Traum, M.J. “Evaluating Forced Versus Natural Convection for Solar Concentrating Hybrid Photovoltaic-Thermoelectric Power Systems Made from Small Up-Cycled Satellite Dishes,” IMECE2017-70839, Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition (IMECE2017), Tampa, Florida, USA, November 3-9, 2017.
  19. Alghamdi, A., Akbar, M.K. Profiling and Evaluation of Implicit and Explicit Storm Surge Models (Paper ID: D0006). 2017 10th International Conference on Environmental and Computer Science (ICECS 2017) will be held during September 13-15, 2017 in Ottawa, Canada.
  20. Alrabie, M.S., Altamimi, F.N., Altarrgemy, M.H., Hadi, F., Akbar, M.K., Traum, M.J. “Method to Design a Hydro Tesla Turbine for Sensitivity to Varying Laminar Reynolds Number Modulated by Changing Working Fluid Viscosity,” PowerEnergy2017-3442, Proceedings of the 2017 ASME Power and Energy Conference, Charlotte, North Carolina, June 25-30, 2017.
  21. Bryant, K., Akbar, K. “An Exploration of Wind Stress Calculation Techniques in Hurricane Storm Surge Modeling” 14th International Conference on Estuarine and Coastal Modeling. ECM14. June 13th-15th, 2016, University of Rhode Island, Kingston, Rhode Island, USA.
  22. Kanjanda, S., Akbar, K. “The Effect of Bottom Friction, Surface Roughness, and Meteorological Forcing in Hurricane Storm Surge Simulation Using SWAN+ADCIRC Model” 14th International Conference on Estuarine and Coastal Modeling. ECM14. June 13th-15th, 2016, University of Rhode Island, Kingston, Rhode Island, USA.
  23. Tegegne, A., Akbar, K. (2016). Design of an Efficient Catalytic Converter with Increased Flow Rate and Minimum Pressure Drop using CFD Techniques. Emerging Researchers National Conference. Washington DC, February 25-28, 2016.
  24. Warner, B., Tegegne, A., Akbar, K. "Design of an Efficient Catalytic Converter Using CFD Techniques" Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition. IMECE2016, Paper# IMECE2016-67181, November 11th-17th, 2016, Phoenix, Arizona, USA.
  25. Akbar, M.K. Evaluation of Tides and Hurricane Surges in the Gulf of Mexico by using CaMEL Implicit Storm Surge Model. 19th Annual ADCIRC Model Workshop, National Oceanic and Atmospheric Administration, Silver Spring, Maryland. March 30-31, 2015.
  26. Akbar, M., Hitchcock, T., Schuetz, C. Effect of Heat Extraction from a Photovoltaic Module by Natural and Forced Air Circulation with and without Pre-Cooling of Air. AIAA-2014-2551, 11th AIAA/ASME Joint Thermophysics and Heat Transfer Conference, 2014, Atlanta, Georgia, USA  
  27. Akbar, M. Finite Element Method Based Model to Solve Three Dimensional Heat Conduction Equations for Photovoltaic Modules. AIAA 2014-2551, 11th AIAA/ASME Joint Thermophysics and Heat Transfer Conference, 2014, Atlanta, Georgia, USA   

 

Dr. Fasoro’s Publications and Presentations (Recent)

  1. Siddiqui, Sanna F., O’Nora, Nathan, Fasoro, Abiodun A., and Gordon, Ali P. "Modeling the Influence of Build Orientation on the Monotonic and Cyclic Response of Additively Manufactured Stainless Steel GP1/17-4PH." Proceedings of the ASME 2017 International Mechanical Engineering Congress and ExpositionVolume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis. Tampa, Florida, USA. November 3–9, 2017. V014T11A003. ASME. https://doi.org/10.1115/IMECE2017-71561
  2. A. Fasoro, O. Nare, and V. Hopkins “STEMpreneur Pitch: A Hands-on Engineering Entrepreneurship Experience for Middle School Students,” 2018 American Society for Engineering Education. ASEE-SE Annual Meeting, Daytona Beach, FL.
  3. Siddiqui, Sanna F., Fasoro, Abiodun A., and Gordon, Ali P. "Torsional Response of Additively Manufactured Steel Under Monotonic and Cyclic Conditions." Proceedings of the ASME Turbo Expo 2018: Turbomachinery Technical Conference and ExpositionVolume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy. Oslo, Norway. June 11–15, 2018. V006T24A022. ASME. https://doi.org/10.1115/GT2018-76831
  4. Siddiqui, S. F., Fasoro, A. A., Cole, C., and Gordon, A. P. (March 11, 2019). "Mechanical Characterization and Modeling of Direct Metal Laser Sintered Stainless Steel GP1." ASME. J. Eng. Mater. Technol. July 2019; 141(3): 031009. https://doi.org/10.1115/1.404286
  5. Sanna F. Siddiqui, Firat Irmak, Abiodun A. Fasoro and Ali Gordon. “Axial-Torsional Fatigue of Additively Manufactured Stainless Steel GP1.” Conference: AIAA Scitech 2020 Forum, Session: Materials and Designs for Additive Manufacturing II. Published Online: 5 Jan 2020. https://doi.org/10.2514/6.2020-1629
  6. Siddiqui, S.F., Irmak, F., Fasoro, A.A. et al. Torsional Fatigue Failure of Additively Manufactured Stainless Steel of Reduced Specimen Size. JOM 72, 440–447 (2020). https://doi.org/10.1007/s11837-019-03842-9

 

Multidisciplinary Research Activities

lab work

Our department performs research in multiple robust disciplines:

  • Simulated-based Design and Optimization
  • Probabilistic and Axiomatic Design Methodology
  • Flexible Manufacturing Systems
  • Predictive and Preventive Maintenance
  • Vibration Control
  • Computational Mechanics
  • Dynamic Stability
  • Robotics
  • Turbulent Reacting Flow
  • Large Eddy Simulation (LES)
  • High-Performance Computing
  • Computation fluid dynamics (CFD)
  • Hurricane storm surge modeling                                                                        Students in Lab
  • Fluid-structure interaction
  • Control in the applications of aerial robotics
  • Morphing aircraft
  • Unmanned aerial vehicles/autonomous systems
  • Micro aerial vehicles
  • Multi-source multi-modality sensor data fusion
  • Machinery diagnostics and prognostics
  • Manufacturing visual inspection and quality control
  • Advanced manufacturing systems
  • Automation and intelligent manufacturing
  • Energy Storage Devices
  • Solar energy

                                                                                                                                                           

                                                            

                                                                                                                 

                                                                                                                                                      3D Printing Machine

Research Laboratories