Research

Research Funding

Dr. Onyebueke鈥檚 Research Funding (2014-2026)

  1. PI, 鈥淧artnership for Research and Education Consortium in Ceramics and Polymers (PRE-CCAP)鈥�, ($1,100,000.00) from DOE/NNSA, Oct. 2021 鈥� Sept 2026.
  2. PI, 鈥淧artnership for Research and Education Consortium in Ceramics and Polymers (PRE-CCAP)鈥�, ($897,873.00) from DOE/NNSA, Oct. 2018 鈥� Sept 2021.
  3. Co-PI, Mathematical Modeling of Micro-grid Energy System with Li-ion Storage Bank鈥� ($422,175.00) from TN-SCORE, Sept. 2013 鈥� Dec. 2016.
  4. Co-PI, 鈥淢odeling and Simulation of Li-ion Batteries鈥�, ($191,210.00) from AFRL, Sept. 2013 to Nov. 2015.
  5. PI, 鈥淓nergy Harvesting and Storage Systems鈥�, ($385,840.00) from the Boeing Company, Sept. 2012 鈥揇ecember. 2015.听

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Dr. Shirkhodaie鈥檚 Research Funding (2014-2022)

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

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Dr. Akbar鈥檚 Research Funding (2014-2023)

  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):听 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):听 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.

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Dr. Fasoro鈥檚 Research Funding (2014-2021)

  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, 鈥淚nstrumentation for Teaching and Research in Additive Manufacturing鈥�, $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).

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Dr. Chen鈥檚 Research Funding (2022-2025)

  1. PI, (FY 2022-2025), NSF, Research Initiation Award: A Boltzmann Model for Multi-Scale and Multi-Physics/Chemistry Transport Phenomena in Porous Media, $298,715 (Funded).
  2. Co-PI, (FY 2022-2025), NSF, Collaborative Research: Multiscale Study of Oscillating Flow and Multiphase Heat Transfer in Porous Media, $132,601 (Funded).

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Research Publications

Dr. Onyebueke鈥檚 Publications and Presentations (Partial)

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

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Dr. Shirkhodaie鈥檚 Publications and Presentations (2014-2020)

  1. Ahmadibeni, Ali, Jones, Branndon, Smith, Damiyelle, and Shirkhodaie, Amir, 鈥淒ynamic Transfer Learning From Physics-based Simulated SAR Imagery for Automatic Target Recognition,鈥� 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, 鈥淧hysics-based SAR Modeling and Simulation for Large-scale Data Generation of Multi-Platform Vehicles for Deep Learning-based ATR,鈥� in the Dynamic Data Driven Applications Systems (DDDAS) Conference, Oct 2-4, 2020, Boston, MA.
  3. Ahmadibeni, Ali, Jones, Branndon, and Shirkhodaie, Amir, 鈥淭ransfer Learning from Simulated SAR Imagery Using Multi-output Convolutional Neural Networks,鈥� in the SPIE 2020 Optics + Photonics Conference, San Diego, CA. 24-28 August, 2020.
  4. Jones, Branndon, Ahmadibeni, Ali, and Shirkhodaie, Amir, 鈥淧hysics-based Simulated SAR Imagery Generation of Vehicles for Deep Learning Applications,鈥� in the SPIE 2020 Optics + Photonics Conference, San Diego, CA. 24-28 August, 2020.
  5. Jones, Branndon, Ahmadibeni, Ali, and Shirkhodaie, Amir. 鈥淢arine Vehicles Simulated SAR Imagery Datasets Generation,鈥� SPIE Defense + Commercial Sensing, Ocean Sensing and Monitoring XII, paper 11420-24, April 22 (2020).
  6. Ahmadibeni, Ali, Borooshak Leila, and Shirkhodaie, Amir, 鈥淎erial and Ground Vehicles Synthetic SAR Dataset Generation for Automatic Target Recognition,鈥� 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, 鈥淎utomatic Target Recognition of Aerial Vehicles Based on Synthetic SAR Imagery Using Hybrid Stacked Denoising Autoencoders,鈥� SPIE Defense + Commercial. Sensing, Alg. for Synthetic Aperture Radar Imagery XXVII, paper 11393-25, April (2020).
  8. Shirkhodaie A., and B. Kalyankumar, 鈥淢ulti-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., 鈥淒eep Learning of Group Activities From Partially Observable Surveillance Video Streams,鈥� 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., 鈥淥bject Recognition and Tracking Based on Multiscale Synthetic SAR and IR,鈥� 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, 鈥淢ultiscale Synthetic SAR and IR Imagery Features Generation in the Cluttered Virtual Environment,鈥� 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., 鈥淛oint Object and Action Recognition Via Fusion of Partially Observable Surveillance Imagery Data,鈥� 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, 鈥淯tilization-based Object Recognition in Confined Space,鈥� 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, 鈥淚n-Vehicle Group Activity Modeling and Simulation in Sensor-based Virtual Environment ,鈥� 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, 鈥淪kin Subspace Color Modeling for Daytime and Nighttime Group Activity Recognition in Confined Operational Spaces ,鈥� 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, 鈥淗and Gestures Recognition in Confined Spaces with Partial Observability and Occultation Constraints,鈥� in the 2016 SPIE Defense, Security and Sensing Conference, , Signal Processing, Sensor/Information Fusion and Target Recognition XXVI,听 Baltimore, MD, April (2016).
  17. Poshtyar, A., Elangovan, V., Shirkhodaie, A., A. Chan, and S. Hu, 鈥淧hysical Environment Virtualization for Human Activities Recognition,鈥� in the SPIE Defense听听 and Security Conference, Modeling and Simulation for Defense Systems and Applications X, Baltimore, MD, April 20, (2015).
  18. Elangovan, V., and Shirkhodaie, A., 鈥淩ecognition of Human-Vehicle Interactions in Group Activities Via Multi-Attributed Semantic Message Generation,鈥� 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., 鈥淎coustic events semantic detection, classification, and annotation for persistent surveillance applications鈥�, SPIE Defense, Security and Sensing Conference, Baltimore, Maryland, April (2014).

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Dr. Akbar鈥檚 Publications听and Presentations听 (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鈥擟ase 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.听 J. Mar. Sci. Eng. 6, 62.
  5. Traum, M. J., Hadi, F., & Akbar, M. K. (2018). Extending 鈥淎ssessment of Tesla Turbine Performance鈥� 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鈥擜 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.听 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鈥揝impson 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,鈥� 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. 鈥淓valuating Forced Versus Natural Convection for Solar Concentrating Hybrid Photovoltaic-Thermoelectric Power Systems Made from Small Up-Cycled Satellite Dishes,鈥� 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. 鈥淢ethod to Design a Hydro Tesla Turbine for Sensitivity to Varying Laminar Reynolds Number Modulated by Changing Working Fluid Viscosity,鈥� PowerEnergy2017-3442, Proceedings of the 2017 ASME Power and Energy Conference, Charlotte, North Carolina, June 25-30, 2017.
  21. Bryant, K., Akbar, K. 鈥淎n Exploration of Wind Stress Calculation Techniques in Hurricane Storm Surge Modeling鈥� 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. 鈥淭he Effect of Bottom Friction, Surface Roughness, and Meteorological Forcing in Hurricane Storm Surge Simulation Using SWAN+ADCIRC Model鈥� 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听听
  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听 听

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Dr. Fasoro鈥檚 Publications听and Presentations听(Recent)

  1. Siddiqui, Sanna F., O鈥橬ora, 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."听Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition.听Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis. Tampa, Florida, USA. November 3鈥�9, 2017. V014T11A003. ASME.听
  2. A. Fasoro, O. Nare, and V. Hopkins 鈥淪TEMpreneur Pitch: A Hands-on Engineering Entrepreneurship Experience for Middle School Students,鈥� 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."听Proceedings of the ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition.听Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy. Oslo, Norway. June 11鈥�15, 2018. V006T24A022. ASME.听
  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.听J. Eng. Mater. Technol. July 2019; 141(3): 031009.听
  5. Sanna F. Siddiqui, Firat Irmak, Abiodun A. Fasoro and Ali Gordon. 鈥淎xial-Torsional Fatigue of Additively Manufactured Stainless Steel GP1.鈥� Conference: AIAA Scitech 2020 Forum, Session: Materials and Designs for Additive Manufacturing II. Published Online: 5 Jan 2020.
  6. Siddiqui, S.F., Irmak, F., Fasoro, A.A.听et al.听Torsional Fatigue Failure of Additively Manufactured Stainless Steel of Reduced Specimen Size.听JOM听72,听440鈥�447 (2020).

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Dr. Chen鈥檚 Publications (Recent)

  1. Chen, L., Succi, S., Cai, X., and Schaefer, L., 2020, "Semi-Lagrangian implicit Bhatnagar-Gross-Krook collision model for the finite-volume discrete Boltzmann method," Physical Review E.
  2. Chen, L. and Schaefer, L., 2018, "Godunov-type upwind flux schemes of the two-dimensional finite volume discrete Boltzmann method," Computers & Mathematics with Applications, vol. 75, no. 9, pp. 3105-3126,
  3. Chen, L. and Schaefer, L., 2015, "A unified and preserved Dirichlet boundary treatment for the cell-centered finite volume discrete Boltzmann method," Physics of Fluids, vol. 27, 207104.
  4. Chen, L., Petrosius, T., and Schaefer, L., 2019, " Numerical Simulation of Heat Conduction Problems With the Lattice Boltzmann Method (LBM) and Discrete Boltzmann Method (DBM): A Comparative Study," ASME Summer Heat Transfer Conference, V001T02A008.
  5. Chen, L., Schaefer, L., and Cai, X., 2018, "An Accurate Unstructured Finite Volume Discrete Boltzmann Method," ASME 2018 International Mechanical Engineering Congress and Exposition, V007T09A010.
  6. Chen, L., Sadat, H., 听and Schaefer, L., 2019, "A Multi-Relaxation-Time Finite Volume Discrete Boltzmann Method for Viscous Flows", ASME-JSME-KSME 8th Joint Fluids Engineering Conference, V002T02A032.
  7. Chen, L., Yang, F., Parida, P., Schultz, M., Chainer, T., 2016, "Enthalpy-based system-model for pumped two-phase cooling systems," 15th IEEE ITHERM Conference, 805-812.

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Dr. Habibi鈥檚 Publications and Presentations

  1. Sathanathan, M. Habibi, N. Dahal, Quantized stabilization of stochastic systems with multiplicative noise under Markovian switching, Stochastic Analysis and Applications Journal, Mar 2019.
  2. J. Traum, M. K. Akbar, M. Habibi, F. Hadi, S. K. Hargrove, W. Yeol Joe, Introducing the TOP-DOWN-TOP Pedagogy: Systems Thinking that Inspires, Engages, & Promotes Persistence, ASEE Southeastern Section Conference, Mar 2018.
  3. Presenter/Contributor, Engineering Mechanics Engineering Conference (EMI 2017), San Diego, CA, June 2017 (Approved).
  4. The 7th Conference on Dynamic Systems and Applications, Atlanta, GA, May 27-30, 2015.
  5. The 9th Conference on Differential Equations and Dynamical Systems, Dallas, TX, May 14-16, 2015.
  6. Habibi, M. S., Shirkhodaie, A., Multi-Attributed Tagged Big Data Exploitation for Hidden Concepts Discovery, Proc. SPIE. 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910W (Jun 20, 2014).
  7. Shirkhodaie, A., Habibi, M. S., Elangovan, V., A Decision Support System for Fusion of Soft- and Hard-Sensor Information Based on Latent Semantic Analysis Technique, Proc. SPIE. 8758, Next-Generation Analyst, 87580A. (May 28, 2013).
  8. Habibi, M. S., Shirkhodaie, A., Mining Patterns in Persistent Surveillance Systems with Smart Query and Visual Analytics, Proc. SPIE. 8747, Geospatial InfoFusion III, 87470P. (May 23, 2013).
  9. Habibi, M. S., Situation Exploration in a Persistent Surveillance System with Multidimensional Data, Proc. SPIE. 8663, Video Surveillance and Transportation Imaging Applications, 86630K. (Mar 19, 2013).
  10. Habibi, M. S., Using Visual Analytics Model for Pattern Matching in Surveillance Data, Proc. SPIE. 8663, Video Surveillance and Transportation Imaging Applications, 86630J. (Mar 19, 2013).
  11. Habibi, M. S., Data Exploitation Using Visual Analytics, Intelligence and Security Informatics, IEEE International Conference on Intelligence and Security Informatics (ISI). (Jun 11, 2012).
  12. Habibi, M. S., Shirkhodaie, A., A Survey of Visual Analytics for Knowledge Discovery and Content Analysis, Proc. SPIE. 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83920T. (May 01, 2012).
  13. Habibi, M. S., Adaptive Situation Awareness Using Visual Analytics, International Symposium on Network Cloud Computing and Applications, IEEE Network Cloud Computing and Applications (NCCA), (Nov 21, 2011).
  14. Habibi, M. S., Model for Impact of Storage on Spinning Reserve Requirements and Distributed Generation, Proceedings of the 33rd Southeastern Symposium on System Theory, 2001.

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听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听听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

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听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听

听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听听3D Printing Machine

Research Laboratories听 听 听

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听听