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• Li, F., Ahmed, A., Klinkova, A. et al, “Interplay of Electrochemical and Electrical Effects Induces Structural Transformations in Electrocatalysts,” Nature Catalysis, 4 (6), pp. 479-487, 2021.
• Li, F., Chandrasekar, S., Ahmed, A., and Klinkova, A., “Interparticle Gap Geometry Effects on Chiroptical Properties of Plasmonic Nanoparticle Assemblies,” Nanotechnology, 33 (12), 5203, 2021.
• Medvedeva, X., Li, F., Maokhamphiou, A., Medvedev, J., Ahmed, A., and Klinkova, A., “Shape Control in Seed-mediated Synthesis of Non-elongated Cu Nanoparticles and their Optical Properties,” Nanoscale, 13, pp. 12505-12512, 2021.

• Kim, L, Gomez, E., Ahrar, S., and Hedde, P.N., "Miniaturized Light-Sheet Microscopy," Biomedical Engineering Society Annual Meeting, Orlando, Fla., 2021.

• ​Aliasgari, M., Englert, B., Morales-Ponce, O., “Computing the Optimal Longest Queue Length in Torus Networks,” TPNC 2021: pp. 3-14, 2021.
• Gao, Y., Makrani, H. M., Aliasgari, M., Rezaei, A., Lin, J., Homayoun, H., and Sayadi, H., “Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Framework for Online Malware Detection using Microarchitectural Events,” 27th IEEE Intl. Symp. on On-Line Testing and Robust System Design (IOLTS), pp. 1-7, Italy, 2021.
• Zhang, W., Li, L., Cheong, V., Fu, B., and Aliasgari, M., “Deep Encoder-Decoder Neural Networks for Retinal Blood Vessel Dense Prediction.” Intl. J. Computational Intelligence Systems 14 (1), pp. 1078-1086, 2021.      

• Ho, S., Al-Jufout, S., Dajani, S., and Mozumdar, M., “A Novel Intrusion Detection Model for Detecting Known and Innovative Cyberattacks using Convolutional Neural Network,” IEEE Open Journal of the Computer Society, vol. 2, pp. 14-25, 2021.       
• Ho, S., Zhang, W., Young, W., Buchholz, M., Al Jufout, S., Dajani, K., Bian, L., Mozumdar, M., “DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool,” IEEE Access 9, pp. 115100-115114, 2021.
• Ibrahim, N., Al-Quteimat, A., Mozumdar, M., and Al-Jufout, S., “A Novel Approach for Crowbar Resistance Determination for Doubly Fed Induction Generators in Wind Energy Conversion Systems,” Intl. J. Ambient Energy, vol. 42, pp. 1-10, 2021.
• Young, W., Ho, S., Al-Jufout, S., Mozumdar, M., Buchholz, M., Zhang, W., and Dajani, K., “Real-time Porosity Prediction for Metal Additive Manufacturing using Convolutional Neural Networks,” TechConnect World Innovation Conf. and Expo, Washington, D.C., pp. 1-2, 2021.

• Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R.C., Sciortino, A., “An Observational Study of Engineering Online Education during the COVID-19 Pandemic,” Plos One, vol. 16, issue 4, April 2021.

• Moghaddam, K., Balali, V., Singh, P., and Khalilikhah, M. “Evaluation of Multi-class Multi-label Machine Learning Methods to Identify the Contributing Factors to the Severity of Animal-Vehicle Collisions,” Intl. J. for Traffic and Transportation Engineering (IJTTE), 11(3), pp. 341-358, 2021.
• Shehab, T., Haghighat, R., Sajjan, K., and Balali, V., “Prioritization of K-12 School Maintenance Construction Projects Using Genetic Algorithm and Dynamic Programming Models,” J. Information Technology in Construction (ITcon), 26, pp. 112-127, 2021.
• Tavakoli, A., Kumar, S., Guo, X., Balali, V., Boukhechba, M., and Heydarian, A., “HARMONY: A Human-centered Multimodal Driving Study in the Wild,” J. IEEE Access, 9, pp. 23956-23978, 2021.

• Kabir, S.F., Sukumaran, S., Moghtadernejad, S., Barjasteh, E., Fini, E.H., “End of Life Plastics to Enhance Sustainability of Pavement Construction Utilizing a Hybrid Treatment of Bio-oil and Carbon Coating,” Construction and Building Materials, 278, 122444, 2021.
• Moghtadernejad, S., Barjasteh, E., Nagata, R., Malabeh, H., “Enhancement of Asphalt Performance by Graphene-Based Bitumen Nanocomposites,” MTI Publications, 359, 2021.                               

 

• Cepeda-Rizo, J. “Thermal and Structural Electronic Packaing Analysis for Space and Extreme Environments,” CRC Press, Dec. 2021.

• Chandra, S., Naik, R. T., Venkatesh, M., and Mudgal, A., “Accessibility Evaluations of the Proposed Road User Charge (RUC) Program in CA,” Transport Policy, 113, pp. 12-26, 2021.              

• Balisi, A.N., Jula, H., and Chassiakos, A., “Smart Cities: A Focus on Intelligent Transportation Systems,” 2021 IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.               
• Krallman, J., Balisi, A.N., Garcia, M.C., Jula, H., and Chassiakos, A., “Traffic Delay Modeling for an Intersection in the City of Long Beach, CA, using Vissim,” 2021 IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.
• Rosas, C., Jula, H., Lee, J., and Chassiakos, A., “Neural Network Delay Estimation with Inclusion of Heavy Goods Vehicular Data,” IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.

• Harris, E.J., Khoo, I.-H., and Demircan, E., “A Survey of Human Gait-Based Artificial Intelligence Applications,” Frontiers in Robotics and AI 8, 2021.
• Recinos, E., and Demircan, E., “Understanding Human Perception of Vibrotactile Feedback on the Foot in a Virtual Reality Framework for Applications in Sports Performance,” 18th Intl. Conf. on Ubiquitous Robots, pp. 205-210, 2021.

• Densmore, A., and Yeh, H.-G., “Necessity Brings Out a Welcomed Laboratory Change,” Proc. American Society for Engineering Education, PSW 2021 Conf., April 2021.                 

     

• Zhang, W., Li, L., Cheong, V., Fu, B., and Aliasgari, M., “Deep Encoder-Decoder Neural Networks for Retinal Blood Vessel Dense Prediction.” Intl. J. Computational Intelligence Systems 14 (1), pp. 1078-1086, 2021.                                                                 

• Anderson, K., Hedayatipour, A. and McFarlane, N., “A Wireless Time-Scaling Chaotic Shift Keying Encryption System for Biosensing Systems,” 43rd Annual Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 7594-7597, Nov. 2021.  
• Aslanzadeh, S., Hedayatipour, A., Smalley, M. and McFarlane, N., “A Combined pH-Impedance System Suitable for Portable Continuous Sensing,” IEEE Trans. on Biomedical Circuits and Systems, 15(3), pp. 390-401, 2021.
• Hedayatipour, A., and McFarlane, N., “An Encryption Architecture Suitable for On Chip Integration with Sensors,” IEEE J. on Emerging and Selected Topics in Circuits and Systems, 2021.                                        

• AghaKouchak, A., Mirchi, A., Madani, k., Di Baldassarre, G., Nazemi, A., Alborzi, A., Anjileli, H., Azarderakhsh, M., Chiang, F., Hassanzadeh, E., Huning, L.S. et al, “Anthropogenic Drought: Definition, Challenges and Opportunities,” Reviews of Geophysics, 59, 2021.
• Anjileli, H., Huning, L.S., Moftakhari, H., et al, “Extreme Heat Events Heighten Soil Respiration,” Scientific Reports, 11(1), 6632, 2021.
• Siirila-Woodburn, E., Rhoades, A.M.,Hatchett, B.J., Huning, L.S., et al, “A Low-to-no Snow Future and its Impacts on Water Resources in the Western United States,” Nature Reviews Earth and Environment, 2, 2021.       

• Balisi, A.N., Jula, H., and Chassiakos, A., “Smart Cities: A Focus on Intelligent Transportation Systems,” 2021 IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.
• Krallman, J., Balisi, A.N., Garcia, M.C., Jula, H., and Chassiakos, A., “Traffic Delay Modeling for an Intersection in the City of Long Beach, CA, using Vissim,” 2021 IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.
• Rosas, C., Jula, H., Lee, J., and Chassiakos, A., “Neural Network Delay Estimation with Inclusion of Heavy Goods Vehicular Data,” IEEE Green Energy and Smart Systems Conf. (IGESSC), Long Beach, CA, Nov. 2021.

• Cortes, A., and Kalman, J., “Comparison of Ammonium Perchlorate Pressed Pellets versus Single Crystal Wettability with Hydroxyl-terminated Polybutadiene,” AIAA Region VI, Long Beach, CA, April 3-4, 2021.
• Gonzalez, A., Kalman, J., Madadi-Kandjani, E., “A Computational Study on Flame Extinction Limits and Behavior of a Heated Air Slab Burner,” 74th Annual Meeting of the APS Division of Fluid Dynamics 66, p. 17, 2021.
• Horiuchi, K., and Kalman, J., “Monte Carlo Model of Soot Influence During Ramjet Fuel Laser-Induced Pyrolysis Experiments,” AIAA Region VI, Long Beach, CA, April 3-4, 2021.
• Huynh, A., Horiuchi, K., and Kalman, J., “Thermal Analysis of Boron Carbide and Metal Oxide Mixtures,” 12th U. S. National Combustion Meeting, College Station, Texas, 2021.
• Raissi, S., and Kalman, J., “Investigation of Hydroxyl-terminated Polybutadiene Droplets Impacting Ammonium Perchlorate and Polytetrafluoroethylene Surfaces,” AIAA Region VI, Long Beach, CA, April 3-4, 2021.
• Tolmachoff, E., Baldwin, L., Essel, S., Kalman, S. and Kalman, J., “Particle Swelling in and the Effects of Select Metal Oxides on the Low Temperature Decomposition of Ammonium Perchlorate,” J. Energetic Materials, 2021.

• Kim, H., Sundaram, S., Kang, J.-H., Tanjeem, N., Emrick, T., and Hayward, R.C., “Coupled Oscillation and Spinning of Photothermal Particles in Marangoni Optical Traps,” Proc. Natl Academy of Sciences of the USA, vol. 118, e2024581118, 2021.

• Harris, E.J., Khoo, I.-H., and Demircan, E., “A Survey of Human Gait-Based Artificial Intelligence Applications,” Frontiers in Robotics and AI 8, 2021.

                                

• Kim, J., Dominguez, S., and Diaz, L., “Economic Evaluation of Route Choice Characteristics for Owner-operator Truck Drivers in Southern CA Freeways,” J. of Transportation Engineering, Part A: Systems, 2021.
• Kim, J., Petrov, A.L., Lim, J., and Kim, S., “Comparing Cost Performance of Project Delivery Methods using Quantifiable RFIs: Cases in CA Heavy Civil Construction Projects,” Intl. J. Civil Engineering, 2021. 
• Lim, J., Kim. J., and Kim, S., “A Holistic Review of Building Energy and Environmental Loads using Big Data,” Sustainability, 13, 2273, 2021.   

• Doan, S., Kwon, S., and Yeh, H.-G., “Achievable Capacity of Multi-Polarization MIMO with the Practical Polarization-agile Antennas,” IEEE Systems J., vol. 15, no. 2, pp. 3081-3092, June 2021.
• Tehrani, A.F., Yeh, H.-G., and Kwon, S., “BER Performance of Space-Time Parallel ICI Cancellation of OFDM in MIMO Power Line Communications,” IEEE Systems J., vol. 15, no. 2, pp. 1742-1752, June 2021.

• Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R.C., Sciortino, A., “An Observational Study of Engineering Online Education during the COVID-19 Pandemic,” Plos One, vol. 16, issue 4, April 2021.

• Gonzalez, A., Kalman, J., Madadi-Kandjani, E., “A Computational Study on Flame Extinction Limits and Behavior of a Heated Air Slab Burner,” 74th Annual Meeting of the APS Division of Fluid Dynamics 66, p. 17, 2021.
• Nguyen, T., Passalacqua, A., Madadi-Kandjani, E., “The Effects of Different RANS Closures on Modelling Swirling Flow in a Macro-scale Multi-inlet Vortex Reactor,” 74th Annual Meeting of the APS Division of Fluid Dynamics 66, p. 17, 2021.
• Rostamian, A., Madadi-Kandjani, E., Dalir, Hamed, Sorger, Volker, J. , and Chen, Ray T., “Towards Lab-on-Chip Ultrasensitive Ethanol Detection using Photonic Crystal Waveguide Operating in the Mid-infrared,” Nanophotonics, vol. 10, no. 6, pp. 1675-1682, 2021.     

   ​

• Kabir, S.F., Sukumaran, S., Moghtadernejad, S., Barjasteh, E., Fini, E.H., “End of Life Plastics to Enhance Sustainability of Pavement Construction Utilizing a Hybrid Treatment of Bio-oil and Carbon Coating,” Construction and Building Materials, 278, 122444, 2021.
• Moghtadernejad, S., Barjasteh, E., Nagata, R., Malabeh, H., “Enhancement of Asphalt Performance by Graphene-Based Bitumen Nanocomposites,” MTI Publications, 359, 2021.&
• Moghtadernejad, S., Jadidi, M., Johnson, Z., Stolpe, T., Hanson, J., “Droplet Impact Dynamics on an Aluminum Spinning Disk,” Physics of Fluids 33 (7), 072103, 2021&

 

• Byun, S., Shin, I. K., Moon, J., Kang, J., and Choi, S. I., “Road Traffic Monitoring from UAV Images Using Deep Learning Networks,” Remote Sensing, vol. 13, issue 20, p. 4027, 2021.
• Kim, J., and Moon, J., “Congestion Costs and Scheduling Preferences of Car Commuters in CA: Estimates Using Big Data,” Annual School and Conf. of the Intl. Transportation Economics Assn., 2021.

• Aliasgari, M., Englert, B., Morales-Ponce, O., “Computing the Optimal Longest Queue Length in Torus Networks,” TPNC 2021: pp. 3-14, 2021. 
• Coleman, J., Kranakis, E., Krizanc, D., Morales-Ponce, O. “The Pony Express Communication Problem, IWOCA 2021: pp. 208-222, 2021.
• Coleman, J., Kranakis, E., Krizanc, D., Morales-Ponce, O., “Message Delivery in the Plane by Robots with Different Speeds, SSS 2021: pp. 305-319, 2021.

• Ho, S., Al-Jufout, S., Dajani, S., and Mozumdar, M., “A Novel Intrusion Detection Model for Detecting Known and Innovative Cyberattacks using Convolutional Neural Network,” IEEE Open Journal of the Computer Society, vol. 2, pp. 14-25, 2021.       
• Ho, S., Zhang, W., Young, W., Buchholz, M., Al Jufout, S., Dajani, K., Bian, L., Mozumdar, M., “DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool,” IEEE Access 9, pp. 115100-115114, 2021.
• Ibrahim, N., Al-Quteimat, A., Mozumdar, M., and Al-Jufout, S., “A Novel Approach for Crowbar Resistance Determination for Doubly Fed Induction Generators in Wind Energy Conversion Systems,” Intl. J. Ambient Energy, vol. 42, pp. 1-10, 2021.
• Young, W., Ho, S., Al-Jufout, S., Mozumdar, M., Buchholz, M., Zhang, W., and Dajani, K., “Real-time Porosity Prediction for Metal Additive Manufacturing using Convolutional Neural Networks,” TechConnect World Innovation Conf. and Expo, Washington, D.C., pp. 1-2, 2021. 

• Peng, H., Wu, H., and Shen, X., “Edge Intelligence for Multi-Dimensional Resource Management in Aerial-Assisted Vehicular Networks,” IEEE Wireless Communication Magazine, vol. 28, no. 5, pp. 59-65, October 2021.  
• Zhang, W., Yang, D., Wu, W., Peng, H., Zhang, H. and Shen, X., “Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach,” IEEE J. on Selected Areas in Communications, vol. 39, no. 12, pp. 3688-3703, December 2021. 

• ​Begum, A., and Rahai, H.R., “Numerical Investigations of Transient Wind Shear from Passing Vehicles near a Road Structure,” SAE Technical Paper 2021-01-0964, 2021, also MTI Project 1933 Final Report, January 2021
• Rahai, H.R., Bonifacio, J., and Taherian, S., “System and Method for Reducing NOx Emissions of Cargo Handling Equipment (CHE),” patent No. 11,131,278, 9-28-2021.
• Rahai, H. and Bonifacio, J., “Numerical Investigations of Virus Transport Aboard a Commuter Bus,” Report No. 21-07, Mineta Transportation Institute (MTI), p. 2048, April 2021.
• Rahai, H.R. and Horseman, R., “A Risk Assessment of an Airborne Disease Inside the Cabin of a Passenger Airplane, “SAE Technical Paper 2021-01-0036, 2021.\

 

• Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R.C., Sciortino, A., “An Observational Study of Engineering Online Education during the COVID-19 Pandemic,” Plos One, vol. 16, issue 4, April 2021.
• Rahmani, M., and Todorovska, M.I., “Structural Health Monitoring of a 32-storey Steel-frame Building using 50 Years of Seismic Monitoring Data,” J. Earthquake Engineering and Structural Dynamics, vol. 50, no. 6, pp. 1777-1800, 2021.
• Todorovska, M.I., Girmay, F Wang, M Rahmani, (2021) “System Identification of a Pyramid-Shaped Building Based on a Nonhomogeneous Doubly Tapered Shear Beam”, J. Earthquake Engineering and Structural Dynamics, 2021.

• Gao, Y., Makrani, H. M., Aliasgari, M., Rezaei, A., Lin, J., Homayoun, H., and Sayadi, H., “Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Framework for Online Malware Detection using Microarchitectural Events,” 27th IEEE Intl. Symp. on On-Line Testing and Robust System Design (IOLTS), pp. 1-7, Italy, 2021.
• Rezaei, A. and Zhou, H., “Sequential Logic Encryption Against Model Checking Attack,” 24th Design, Automation and Test in Europe Conf. and Exhibition (DATE), pp. 1178-1181, France, 2021.
• Tajdari, F., Tajdari, M., and Rezaei, A., “Discrete Time Delay Feedback Control of Stewart Platform with Intelligent Optimizer Weight Tuner,” IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 12701-12707, China, 2021.                             

• Rahai, H.R., Bonifacio, J., and Taherian, S., “System and Method for Reducing NOx Emissions of Cargo Handling Equipment (CHE),” patent no. 11,131,278, 9-28-2021. 

• Ali, I., Yeh, H.-G., Yang, Y., “Improvement of Performance of K-Nearest Neighbors Used to Classify Sharks into Behaviors,” Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021.
• Buchholz, M., Zhang, W., Meese, E.N., Yang, Y., Lowe, C.G., and Yeh, H.-G., “Recurrent Attentive Kernel Learning for Shark Activity Recognition,” in Proc. 7th Workshop on Mining and Learning from Time Series (MiLeTS), Aug. 2021.
• Nguyen, R., Yang, Y., Tohmeh, A., and Yeh, H.-G., “Predicting PV Power Generation using SVM Regression,” Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021.
• Perez, A., Yang, Y., "Offset-free ARX-based Adaptive Model Predictive Control Applied to a Nonlinear Process,” ISA Transactions, 2021. 
• Yang, Y., Yeh, H.-G., and Tran, K., “Cooperative Volt-Ampere Reactive Control for a PV-enabled Distribution Network with Abnormally High Power Loads,” IEEE Systems J., vol. 15, no. 4, pp. 5714-5723, Dec 2021.
• Yang, Y., Yeh, H.-G., Zhang, W., Lee, C., Meese, E.N., and Lowe, C.G., “Feature Extraction, Selection and K-Nearest Neighbors Algorithm for Shark Behavior Classification Using Imbalanced Dataset,” IEEE Sensors J., vol. 21, no. 5, pp. 6429-6439, March 2021.
• Zhang, W., Chen, X., Bhadani, D., Rex, P., Yang, Y., Lowe, C., and Yeh, H.-G., “Deep Learning for Shark Detection Tasks,” in Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021. (Best Paper Award)

• Ali, I., Yeh, H.-G., Yang, Y., “Improvement of Performance of K-Nearest Neighbors Used to Classify Sharks into Behaviors,” Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021.
• Buchholz, M., Zhang, W., Meese, E.N., Yang, Y., Lowe, C.G., and Yeh, H.-G., “Recurrent Attentive Kernel Learning for Shark Activity Recognition,” in Proc. 7th Workshop on Mining and Learning from Time Series (MiLeTS), Aug. 2021.
• Densmore, A., and Yeh, H.-G., “Necessity Brings Out a Welcomed Laboratory Change,” Proc. American Society for Engineering Education, PSW 2021 Conf., April 2021. 
• Doan, S., Kwon, S., and Yeh, H.-G., “Achievable Capacity of Multi-Polarization MIMO with the Practical Polarization-agile Antennas,” IEEE Systems J., vol. 15, no. 2, pp. 3081-3092, June 2021.
• Haghighian, S.K., Talebi, M., Rahimi, T., and Yeh, H.-G., “Optimal Management of Active and Reactive Power of Smart Inverters of Solar Units to Prevent Overvoltage,” Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021.
• Haghighian, S.K., Yeh, H.-G., Rahimi, T., “Analysis of Wind Generator Contribution on Load Frequency Control Considering Control Signals Delays,” Proc. 7th Iran Wind Energy Conf. (IWEC2021), May 2021.
• Nguyen, R., Yang, Y., Tohmeh, A., and Yeh, H.-G., “Predicting PV Power Generation using SVM Regression,” Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021.
• Tehrani, A.F., Yeh, H.-G., and Kwon, S., “BER Performance of Space-Time Parallel ICI Cancellation of OFDM in MIMO Power Line Communications,” IEEE Systems J., vol. 15, no. 2, pp. 1742-1752, June 2021.
• Tran, D.H. and Yeh, H.-G., “Smooth Transition from Face-to-Face to Fully Online Classes,” Proc. 2021 AESS Pacific South-West Section (PSW), April 2021.
• Yang, Y., Yeh, H.-G., and Tran, K., “Cooperative Volt-Ampere Reactive Control for a PV-enabled Distribution Network with Abnormally High Power Loads,” IEEE Systems J., vol. 15, no. 4, pp. 5714-5723, Dec 2021.
• Yang, Y., Yeh, H.-G., Zhang, W., Lee, C., Meese, E.N., and Lowe, C.G., “Feature Extraction, Selection and K-Nearest Neighbors Algorithm for Shark Behavior Classification Using Imbalanced Dataset,” IEEE Sensors J., vol. 21, no. 5, pp. 6429-6439, March 2021.
• Yeh, H.-G. and Chang, D., “Green Communication Systems in IOT-Enabled Smart Cities via Wavefront Multiplexing Schemes,” Proc. IEEE WF-IoT, July 2021.
• Yeh, H.-G. and Chang, D., “Multi Base Stations to Multi Mobile Units: Green Communication Systems via A Wavefront Multiplexing Technique,” Proc. IEEE Intl Systems, April 2021.
• Yeh, H.-G. and Zhou, J., “BER Performance of Pre-coded Space-Time Conjugate Two-Path OFDM Systems,” Proc. Wireless Telecommunications Symp., April 2021.
• Yeh, H.-G. and Zhou, J., “Design Switchable Precoded Space-Time Parallel Two-Path OFDM Systems,” Proc. Wireless Telecommunications Symp., April, 2021.
• Zhang, W., Chen, X., Bhadani, D., Rex, P., Yang, Y., Lowe, C., and Yeh, H.-G., “Deep Learning for Shark Detection Tasks,” in Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021. (Best Paper Award)
• Zhou, J. and Yeh, H.-G., “From Advanced Digital Signal Processing to Machine Learning, in Proc. Frontiers in Education,” NE, Oct. 2021.

                                                                                                                             

• Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R.C., Sciortino, A., “An Observational Study of Engineering Online Education during the COVID-19 Pandemic,” Plos One, vol. 16, issue 4, April 2021.
• Buchholz, M., Zhang, W., Meese, E.N., Yang, Y., Lowe, C.G., and Yeh, H.-G., “Recurrent Attentive Kernel Learning for Shark Activity Recognition,” in Proc. 7th Workshop on Mining and Learning from Time Series (MiLeTS), Aug. 2021.
• Ho, S., Zhang, W., Young, W., Buchholz, M., Al Jufout, S., Dajani, K., Bian, L., Mozumdar, M., “DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool,” IEEE Access 9, pp. 115100-115114, 2021.
• Young, W., Ho, S., Al-Jufout, S., Mozumdar, M., Buchholz, M., Zhang, W., and Dajani, K., “Real-time Porosity Prediction for Metal Additive Manufacturing using Convolutional Neural Networks,” TechConnect World Innovation Conf. and Expo, Washington, D.C., pp. 1-2, 2021. 
• Yang, Y., Yeh, H.-G., Zhang, W., Lee, C., Meese, E.N., and Lowe, C.G., “Feature Extraction, Selection and K-Nearest Neighbors Algorithm for Shark Behavior Classification Using Imbalanced Dataset,” IEEE Sensors J., vol. 21, no. 5, pp. 6429-6439, March 2021.
• Zhang, W., Chen, X., Bhadani, D., Rex, P., Yang, Y., Lowe, C., and Yeh, H.-G., “Deep Learning for Shark Detection Tasks,” in Proc. IEEE Green Energy and Smart Systems Conf., Nov. 2021. (Best Paper Award)
• Zhang, W., Li, L., Cheong, V., Fu, B., and Aliasgari, M., “Deep Encoder-Decoder Neural Networks for Retinal Blood Vessel Dense Prediction.” Intl. J. Computational Intelligence Systems 14 (1), pp. 1078-1086, 2021.