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Faculty Productivity

2021-22 Summary of Faculty Productivity

  • O. Hussein, K. Al Shamaileh, H. Sigmarsson, S. Abushamleh, N. Aboserwal, and V. Devabhaktuni, “A Half-mode substrate integrated waveguide filtering power divider with Fourier-varying via holes,” Microwave and Optical Technology Letters, vol. 63, no. 12, pp. 2964–2968, December 2021.
  • U. Khan, S. Paheding, C. Elkin, and V. Devabhaktuni, “Trends in deep learning for medical hyperspectral image analysis,” IEEE Access, vol. 9, pp. 79534-79548 (2021)
  • N. Siddique, S. Paheding, C. Elkin, and V. Devabhaktuni, “U-net and its variants for medical image segmentation: A review of theory and applications,” IEEE Access, vol. 9, pp. 82031 – 82057 (2021)
  • Akshay Mathur, Laxmi Podilla, Keyur Kulkarni, Quamar Niyaz, and Ahmad Y. Javaid, “NATICUSdroid: A Malware Detection System in Android using Native and Custom Permissions,” Elsevier Journal of Information Security and Applications, Vol. 58, No. 102696, 2021, Impact Factor: 3.872
  • P. C. Srinivasa Rao, A. J. Sravan Kumar, Quamar Niyaz, Sidike Paheding, and Vijay Devabhaktuni, “A Chemical Reaction Optimization based Feature Selection Technique for Machine Learning Classification Problems,” Elsevier Expert Systems and Applications, Vol. 167, No. 114169, 2021, Impact Factor: 6.954.
  • Kyle Greene, Deven Rodgers, Henry Dykhuizen, Quamar Niyaz, Khair Al Shamaileh, and Vijay Devabhaktuni, “A Defense Mechanism Against Replay Attack in Remote Keyless Entry Systems Using Timestamping  and XOR Logic,” IEEE Consumer Electronics Magazine, Vol. 10, Issue 1, pp. 101─108, 2021, Impact Factor: 3.789.
  • A. Lendek, L. Tan, “Mitigation of derivative kick using time-varying fractional-order PID control,” IEEE Access, vol. 9, pp. 55974-55987, April 2021.
  • J. Chen, J, J. Jiang, X. Guo, L. Tan, “An efficient CNN with tunable input-size for bearing fault diagnosis,” International Journal of Computational Intelligence Systems, vol. 14, no. 1, pp. 625–634, 2021.
  • J. Chen, J. Jiang, X. Guo, L. Tan, “A self-Adaptive CNN with PSO for bearing fault diagnosis,” Systems Science & Control Engineering, vol. 8, no. 1, pp. 11-22, 2021.
  • J. Chen, J. Jiang, X. Guo, L. Tan, “Bit-error aware lossless image compression with 2D-layer-block coding,” Journal of Sensors, vol. 2021, November, 2021.
  • F. Tian, M. Hua, W. Zhang, Y. Li , X. Yang, (2021) Emotional arousal in 2D versus 3D virtual reality environments. PLoS ONE 16(9): e0256211.
  • Ruijian Zhang (2021). “Applying Data Mining Technology on Inflation Prediction in the United States”, IEEE Proceedings of the Eighth International Conference on Computational Science, Intelligence & Applied Informatics (CSII 2021).
  • H. Jaradat, N. Dib, and K. Al Shamaileh, “A miniaturized ultra-wideband Wilkinson power divider using non-uniform coplanar waveguide,” International Congress on Engineering Technologies, September 2021.
  • J. Pawlak, Y. Li, J. Price, M. Wright, K. Al Shamaileh, Q. Niyaz, and V. Devabhaktuni, “A machine learning approach for detecting and classifying jamming attacks against OFDM-based UAVs,” ACM Workshop on Wireless Security and Machine Learning, Abu Dhabi, UAE, July 2021.
  • Doga Ozgulbas, and N. Houshangi, “Autonomous Navigation and Room Categorization for an Assistant Robot”, 7th International Conference on Engineering and Emerging Technologies, Istanbul, Turkey, October 2021.
  • Akshay Mathur, Ethan Ewoldt, Quamar Niyaz, Xiaoli Yang, and Ahmad Javaid, “Permission Educator: App for Educating Users about Android Permissions,” at 13th International Conference on Intelligent Human-Computer Interaction, December 20-22, 2021, Kent, Ohio, USA.
  • Y. Cai, L. Tan, J. Chen, “Evaluation of deep learning neural networks with input processing for bearing fault diagnosis,” 2021 IEEE International Conference on Electro/Information Technology, pp. 140-145, Mt. Pleasant, MI, May 2021.
  • Y. Song, Y. Cai, L. Tan, “Video-audio emotion recognition based on feature fusion deep learning method,” 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 611-616, Lansing, MI, August 2021.
  • J. Rogers, M. Baker, X. Yang, A. R. Angulo, Y. Luo, “Cultivating the Future of Graduate Nurses’ Knowledge Acquisition of Pathophysiology through Multifarious Innovative Gamification Techniques,” the 2021 Signa Nursing, Indianapolis, Indiana, USA, November 6-10, 2021.
  • J. Rogers, M. Baker, X. Yang, A. R. Angulo, Y. Luo, “Creating a Future in Nurse Education Using 3-D Interactive Visualizations to Mind Map Disease,” the 2021 Signa Nursing, Indianapolis, Indiana, USA, November 6-10, 2021.
  • M. Baker, J. Rogers, X. Yang, A. R. Angulo, Y. Luo, “Creating Learning Experiences Using Serious Games: Skill Competency Development for Future Nurses,” the 2021 Signa Nursing, Indianapolis, Indiana, USA, November 6-10, 2021.
  • Ruijian Zhang (2021). Invited Talk: “Applying Data Mining Technology on Inflation Prediction in the United States”, at the Eighth International Conference on Computational Science, Intelligence & Applied Informatics, held on September 13-15, 2021.
  • Hairong Zhao,  Invited Talk: , Minimizing Makespan On Parallel Machines With Processor Sharing,  INFORMS Annual Meeting, October 24-27, 2021 Anaheim, CA
  • Shuhui Yang, IEEE Real Time Communications Conference & Expo at Illinois Tech, invited panelist
  • Shuhui Yang, The 18th International Conference on Mobile Ad-Hoc and Smart Systems (MASS2021), Finance and Registration Chair
  • Shuhui Yang, The 3rd International Workshop on Smart City Communication and Networking (SmartCityCom21), Program Chair
  • Shuhui Yang, The 7th National Workshop for REU Research in Networking and Systems (REUNS2021), Program co-chair
  • Shuhui Yang, IEEE Computer Society Dew Computing Special Technical Community, Vice Chair
  • Ruijian Zhang, Member of the Editorial Board for the Journal of Science Frontiers, Science Publishing Group, New York, NY USA. August 2020 – Present.
  • Ruijian Zhang, Member of the Editorial Board for the Journal of Biometrics and its Application (JBIA), 2014 – Present.
  • Ruijian Zhang, Member of the Editorial Advisory Board and Reviewer for the Scientific Journals International (SJI), 2006 – Present.
  • Associate Editor, ASME Journal of Thermal Science and Engineering Applications. May 2017 –present (Ozalp, N.)
  • Associate Editor, Frontiers in Mechanical Engineering. Responsible for Thermal and Mass Transport. April 2016 – present (Ozalp, N.)
  • Executive board member, International Advisory Board Directory of the International Association of Hydrogen Energy, June 2012 – present (Ozalp, N.)
  • ASME K-20 Committee on Numerical Heat Transfer since 2006, chair technical sessions for IMECE since 2007 (Wang, X.)
  • AIST Foundation University-Industry Relations Roundtable, 2011 – present (Zhou, C.Q.)
  • AIST Digital Transformation Taskforce, 2018 – present (Zhou, C.Q.)
  • AIST Kent D. Peaslee Junior Faculty Award Committee, 2015 – present (Zhou, C.Q.)
  • AIST Steel Research & Applications Grant Committee, 2015 – present (Zhou, C.Q.)
  • AIST Steel Curriculum Development Committee, 2013 – present (Zhou, C.Q.)
  • AIST Steel Scholarship Committee, 2013 – present (Zhou, C.Q.)
  • AIST Computer Applications Technology Committee, 2010 – present (Zhou, C.Q.)
  • AIST Energy & Utilities Technology Committee, 2010 – present (Zhou, C.Q.)
  • Khair Al Shamaileh, Editorial Board Member, International Journal of RF and Microwave Computer-aided Engineering.
  • Constantin Apostoaia, Program Chair , 2021 IEEE International Conference on Electro/Information Technology, May 14 – 15, 2021, Central Michigan University, Mount Pleasant, MI.
  • Quamar Niyaz, Topic Advisory Panel, MDPI Network
  • Quamar Niyaz, Review Editor on the Editorial Board of Smart Grid Communications (specialty section of Frontiers in Communications and Networks)
  • Best paper award:
    • Akshay Mathur, Ethan Ewoldt, Quamar Niyaz, Xiaoli Yang, and Ahmad Javaid, “Permission Educator: App for Educating Users about Android Permissions,” at 13th International Conference on Intelligent Human-Computer Interaction, December 20-22, 2021, Kent, Ohio, USA.
  • SaTC: EDU: Collaborative: Interactive Visualization and PracTice based Cybersecurity Curriculum and Training (InviteCyber) Framework for Developing Next-gen Cyber-Aware Workforce (Yang, L., Niyaz, Q.) $231,422
  • Acquisition of Tabletop Scanning Electron Microscope (Zhou, R., Abramowitz, H., Kim, H., Chen, C.C., Spaulding, M.) $172,072
  • RET SITE: Simulation and Visualization Technologies for Innovative Industrial Solutions (CoPI: C.C. Chen, for 3 years) (Zhou, C.Q.) $592,681
  • Steel Manufacturing Visualization and Simulation Consortium (SMVSC) Membership (Zhou, C.Q.) $680,000
  • MRI: Acquisition of an Advanced Three-dimensional Flow Measurement System. NSF Major Research Instrumentation Program. NSF Award#1919726. (Liu, Y., Zhou, C.Q., Zeytinoglu, N., Li, J., Zhou, R.) $363,760
  • Khair Al Shamaileh (PI), National Science Foundation Grant (October 2020–September 2023) Collaborative Research: SaTC: CORE: Small: UAV-NetSAFE.COM: UAV Network Security Assessment and Fidelity Enhancement through Cyber-attack-ready Optimized Machine-learning Platforms. Principal Investigator, $200,000.
  • Xiaoli Yang (PI), Quamar Niyaz (Co-PI), Collaborative Research: FW-HTF-P: IntelEUI: Artificial Intelligence and Extended Reality to Enhance Workforce Productivity for the Energy and Utilities Industry, National Science Foundation (NSF), Role: Co-PI (with Dr. Xiaoli Yang as PI), Total Amount: $149.7K, PNW: $79.9K Award (NSF #2129092), Michigan Tech: $69.7K Award (NSF #2129093) [08/2021 ─ 08/2022].
  • Quamar Niyaz (PI), Xiaoli Yang (PI), 2020-2022– NSF IUSE:EHR Awards # 2021345: “Collaborative Research: IUSE: EHR: CyberMUG: Cybersecurity Modules aligned with UG Computer Science and Engineering Curriculum,” Total Project Award: $300K, PNW: $159.4K Award (#2021345 Link), U of Toledo: $140.5K Award (#2021264), PNW PIs: Quamar Niyaz, Sidike Paheding, and Xiaoli Yang, UToledo PI: Ahmad Javaid.
  • Xiaoli Yang (PI), Quamar Niyaz (PI), 2019-2022 – NSF SaTC (Secure and Trustworthy Cyberspace) EDU Award #1903423: “SaTC: EDU: Collaborative: INteractive VIsualization and PracTice basEd Cybersecurity Curriculum and Training (InviteCyber) Framework for Developing Next-gen Cyber-Aware Workforce,” Total Project Award: $499K, PNW: $231.4K Award (#1903423), U of Toledo: $267.7K award (#1903419). PNW PIs: Xiaoli Yang and Quamar Niyaz. UToledo PI: Ahmad Javaid.