Journal Publications and Peer Reviewed Conference Papers

2019

HAGHANI, Sasan

  1. G. D’Orazio, J. Xu and S. Haghani, “A Multidisciplinary Undergraduate Project: Development of an Autonomous Rover For Mars Exploration,” Proc. of Annual ASEE Conference, Tampa, Florida, June 15-19 2019, pp. 1-9, Paper ID #25635.
  2. L. Wang, P. Behera, S. Haghani and J. Xu, “Work in Progress: Design of “Risk and Resilience” Focused Courses for Undergraduate Engineering Education Towards a Hazard-Resilient Built Environment,” Proc. of Annual ASEE Conference, Tampa, Florida, June 15-19 2019, pp. 1-15, Paper ID #27144.
  3. T. Le, L. Wang and S. Haghani, “Design and Implementation of a DASH7-based Wireless Sensor Network for Green Infrastructure,” EWRI World Environmental & Water Resources Congress, Pittsburgh, PA, May 2019.
  4. S. Haghani and L. Najafizadeh “Industrial Wireless Sensor Networks with Applications in Production and Safety”, Proc. of Iranian Steel Symposium, Kish, Iran, Feb. 2019, pp. 1-8.
  5. A. Rahimi, A. Ajmal, H. Patel and S. Haghani, “The Design and Implementation of a VR Gun Controller with Haptic Feedback”, Proc. IEEE International Conference on Consumer Electronics, Las Vegas, NV, Jan. 2019, pp. 1-2.

JEONG, Dong

  1. S. Ji, C. Kamhoua, N. Leslie and D. H. Jeong, An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform, IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference 2019, New York, USA, pp. 663-669, Oct. 10-12, 2019
  2. B. K. Jeong, B. Kang, S. Ji, D. H. Jeong, A Cluster Analysis of Digital Pirates: Multi-Dimensional Piracy Risk Perception Approach, Southeastern Institute for Operations Research and the Management Sciences, Oct. 3-4, 2019
  3. J. Moody, D. H. Jeong and S. Ji, Feature-Based Understanding of Human Emotions, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), Los Angeles, CA, USA, July 30 – August 1, pp. 275-282, 2019
  4. SY Ji, DH Jeong, M Hassan, IK Ilev, Signature Infrared Bacteria Spectra Analyzed by an Advanced Integrative Computational Approach Developed for Identifying Bacteria Similarity, IEEE Journal of Selected Topics in Quantum Electronics 25 (1), 1-8, Jan 2019.

OLADUNNI, Timothy

  1. Juan F. Ramirez Rochac ; Nian Zhang ; Lara Thompson ; Timothy Oladunni, “A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data”, 9th International Conference on Information Science and Technology (ICIST 2019
  2. Tiwang, R., Oladunni, T., Xu, F.,A Deep Learning Model for Source Code Generation, IEEE SoutheastCon 2019
  3. Ramirez Rochac ; Nian Zhang ; Jiang Xiong ; Jing Zhong ; Timothy Oladunni Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks” 9th International Conference on Information Science and Technology (ICIST 2019)
  4. Oladunni, T., Sharma, S., “Homomorphic Encryption and Data Security in the Cloud”, 28th International Conference on Software Engineering and Data Engineering (SEDE 2019)

THOMPSON, Lara

  1. Savadkoohi M, Latham K, Zhang N, Thompson LAInvestigating the balance of sensory-trained healthy and stroke individuals via machine learning techniques (In Preparation 2019)
  2. Thompson LA. Sensory-training improves balance in aging healthy and stroke individuals (Submitted 2019)
  3. Thompson LA. Investigating balance confidence versus balance performance in older adults (Submitted 2019)
  4. Thompson LA, Zhang N.  Moving the Needle: Young Women Exposed Actively to the Value of Engineering (WEAVE). (Submitted 2019)
  5. Thompson LA. Moderate sensory training exercises lead to improved balance in elderly. Phys Ther Rehabil. 2019; 6:12. http://dx.doi.org/10.7243/2055-2386-6-12
  6. Savadkoohi M, Paiva GV, Suh P, Guise J, Stanford I, Hernandez G, Manzano M, Thompson LA.  Investigating Accessible Training Methodologies for Chronic Stroke Survivors. BMES Annual Conference 2019, Philadelphia, PA.
  7. Thompson LA, Stanford I, Savadkoohi M, Zhang N.  Exposing Young Women to Actively to the Value of Engineering (WEAVE) via Biomedical Engineering. BMES Annual Conference 2019, Philadelphia, PA.
  8. Rochac RJ, Zhang N, Thompson LA, Oladunni, T. A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data. 9th International Conference on Information Science and Technology, ICIST, 2019. doi: 10.1109/ICIST.2019.8836913.
  9. Shetty D, Thompson LAImproving the performance of a Novel Mechatronic Ambulatory Gait Training System for Rehabilitation by Modeling and Design Simulation.  American Society of Mechanical Engineers (ASME) International Mechanical Engineering Congress and Exposition 2019 (Nov. 2019).
  10. Shetty D, Thompson LAEmerging Trends in Industry 4.0 with innovative cases from Rehabilitation, Predictive Maintenance and Adaptive Rain Water Harvesting System. ASME IMECE 2019 (Nov. 2019).

TYAGI, Pawan

  1. P. Tyagi, and C. Riso, “Magnetic Tunnel Junction Based Molecular Spintronics Devices Working as a Solar Cell,” Nanotechnology, https://doi.org/10.1088/1361-6528/ab3ab0, Vol.30 pp.49, 2019
  2. P. Tyagi, and C. Riso, ” Magnetic force microscopy revealing long range molecule impact on magnetic tunnel junction based molecular spintronics devices,” Organic Electronics, Vol. 75, pp. 105421, 2019.
  3. P. Tyagi, C. Riso, and E. Friebe, “Magnetic Tunnel Junction Based Molecular Spintronics Devices Exhibiting Current Suppression At Room Temperature,” Organic Electronics, vol. 64, pp. 188-194, 2019.
  4. P. Tyagi, T. Goulet, C. Riso, R. Stephenson, N. Chuenprateep, J. Schlitzer, et al., “Reducing the Roughness of Internal Surface of an Additive Manufacturing Produced 316 Steel Component by Chempolishing and Electropolishing,” Additive Manufacturing, vol. 25, pp. 32-38, 2019.
  5. P. Tyagi, T. Goulet, C. Riso, and F. Garcia-Moreno, “Reducing Surface Roughness By Chemical Polishing Of Additively Manufactured 3D Printed 316 Stainless Steel Components,” The International Journal of Advanced Manufacturing Technology, vol. 100, pp. 2895-2900, 2019

WANG, Lei

  1. Zhang, B., Wang, H., Wang, L., and Xu, N. (2019). Stability analysis of a group of underground anhydrite caverns used for crude oil storage considering rock tensile properties. Bulletin of Engineering Geology and the Environment, 1-17.
  2. Wang, L., Behera, P. K., Haghani, S., Xu, J. (2019), Work in Progress: Design of “Risk and Resilience” Focused Courses for Undergraduate Engineering Education Towards a Hazard-Resilient Built Environment, Proceedings of 2019 ASEE Annual Conference & Exposition, Tampa, Florida. Paper ID 27144, pp. 1-15
  3. Khoshnevisan, S., Wang, L., Wang, W., and Juang, C. H. (2019). “Influence of Gaps in Capping Clay Layer on Liquefaction.” Proceedings of the Geo-Congress 2019: Earthquake Engineering and Soil Dynamics, ASCE Geotechnical Special Publication 308, pp. 473-478.
  4. Le, T., Wang, L., & Haghani, S. (2019). Design and Implementation of a DASH7-Based Wireless Sensor Network for Green Infrastructure. In World Environmental and Water Resources Congress 2019: Emerging and Innovative Technologies and International Perspectives, pp. 118-129
  5. Tait, S., Wang, L. (2019). Reliability-based Design of Geosynthetic Reinforced Soil Structures with Probabilistic and Finite Element Methods, Emerging Researchers National (ERN) Conference, Washington DC, Feb 2019.
  6. Wang, L., Khoshnevisan, S., and Juang, C. H. (2019). Evaluating Robustness for Design Optimization of Underground Structures in the Face of Uncertainty, ASCE Engineering Mechanics Institute 2019 (EMI 2019) Conference, California Institute of Technology, Pasadena, CA, June 2019.

XU, Jiajun

  1. Jiajun Xu, Jaime Rios, “An Experimental Study of Single-phase Heat Transfer inside an Additively Fabricated Microchannel Heat Exchanger”, The Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, 5/28-31, 2019 Las Vegas, NV, USA.
  2. Jiajun Xu, Christopher Hendricks, “A multiphysics simulation of the thermal runaway in large-format lithium-ion batteries”, The Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, 5/28-31, 2019 Las Vegas, NV.
  3. Jiajun Xu, Jaime Rios, “Design and Test of a Direct-Metal-Laser-Sintering (DMLS) Fabricated Micro-Channel Heat Exchanger for Advanced Cooling”, ASME 4th Thermal and Fluids Engineering Conference (TFEC), April 14–17, 2019 Las Vegas, NV, USA.
  4. Jiajun Xu, Devdas Shetty, Abiose Adebayo, “Undergraduate Active Learning Experience through Industrial Sponsored Capstone Projects on Thermal-Fluids Science”, ASME 4th Thermal and Fluids Engineering Conference (TFEC), April 14–17, 2019 Las Vegas, NV, USA.

ZHANG, Nian

  1. Zhang, N., Leatham, K., A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network, Journal of Ambient Intelligence and Humanized Computing, 2019. In Press
  2. Juan F. Ramirez Rochac, Lily Liang, Nian Zhang, and Timothy Oladunni, “A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification using Deep Learning”, The Tenth International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, December 14-19, 2019.
  3. Juan F. Ramirez Rochac, Nian Zhang and Jiang Xiong, “A Spectral Feature Based CNN Long Short-Term Memory Approach for Classification”, The Tenth International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, December 14-19, 2019.
  4. Juan F. Ramirez Rochac, Lara Thompson, Nian Zhang, and Timothy Oladunni, “A Data Augmentation-assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data”, The 9th International Conference on Information Science and Technology (ICIST 2019), Hulunbuir, Inner Mongolia, China, August 2-5, 2019.
  5. Juan F. Ramirez Rochac, Nian Zhang, Jiang Xiong, Jing Zhong, and Timothy Oladunni, “Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks”, The 9th International Conference on Information Science and Technology (ICIST 2019), Hulunbuir, Inner Mongolia, China, August 2-5, 2019.