Saif Aldeen ALKADHIM | Design of mechanical| Best Researcher Award

Mr. Saif Aldeen ALKADHIM | Design of mechanical| Best Researcher Award

Mr. Saif Aldeen ALKADHIM ,Xian Jiao tong university,China

Mr. Saif Aldeen ALKADHIM is a distinguished scholar at Xi’an Jiaotong University, China. His expertise spans across advanced research and academic disciplines, contributing significantly to the university’s academic excellence. With a commitment to innovative research and a passion for teaching, Mr. ALKADHIM continues to make impactful contributions to his field.

 

Professional Profiles:

Orcid

Education :

Ph.D., Electrical Engineering,Xi’an Jiaotong University, 09/2020 – 07/2024,MSEE, Electrical Engineering,University of Technology, 09/2015 – 06/2017,Higher Diploma Degree in Power System Engineering,Middle Technical University, 09/2009 – 12/2010,BSEE, Electrical Engineering,University of Babylon, 09/2002 – 07/2006

Ā Experience:

Chief Engineer,01/2020 to Present,Overseeing the development and implementation of new sensor and MEMS technologies.,Ensuring that sensor and MEMS products meet quality and performance standards.,Managing a team of engineers responsible for sensor and MEMS design, fabrication, and testing.,Collaborating with other departments to ensure successful market introduction of sensor and MEMS products.,Staying updated on the latest developments in sensor and MEMS technology.,Assistant Lecturer,01/2019 to 12/2020,ssisted the qualitative research team in various tasks, including coordinating interviewer training and arranging transcript services.,Worked with the Data Coordinating Center to manage and maintain data for the study database.,Trained and assisted CNC operators, troubleshooted hydraulic, electronic, software, electrical, pneumatic, and mechanical systems, and wrote CNC programs.,Set up and operated CNC vertical milling centers and CNC multi-axis milling machining centers with Fanuc computer controls.,PCB Design Engineer,AL BADER ELECTRONIC INDUSTRIES, Babylon, Iraq, 06/2017 to 12/2019,Created 3D models for PCB footprints and managed PCB documentation.,Developed and debugged custom scripts and programs for automation and quality improvements.,Designed and prototyped various systems including a wireless control for CNC machines, Microstrip Grid Antenna Array for 5G Mobile Devices, Industrial Cloud Monitoring System, and IoT Management Solution for Fill Level Monitoring for Gravel Silos.

Professional Organizations and Honorary Societies:

  • IEEE Power and Energy Society
  • IEEE Standards Association
  • IEEE Young Professional
  • IEEE Robotics and Automation Society
  • IEEE Industrial Electronics Society
  • IEEE Computer Society
  • IEEE Biometrics Council
  • IEEE Nanotechnology Council
  • IEEE Sensors Council

Skills:

  • In-Sensor Computing for NEMS & MEMS
  • Materials, Devices, and Integration Technologies
  • Sensors
  • IoT
  • Electromagnetic Analysis
  • PCB & Circuit Design
  • Embedded System Design (embedded C and embedded controllers)
  • Communications Engineering
  • Schematic Entry and PCB Design with Mentor Graphics Tools
  • CNC Programming and Operation

Awards and Honors:

  • Dean’s List, Xi’an Jiaotong University
  • Xi’an Jiaotong University Scholarship
  • Xi’an Jiaotong University Summer Camp Outstanding Student

Publications :

  • Industrial Workshop Based on Internet of Things: Automated Manufacturing Systems Technology, Noor Publishing, 2017. ISBN 3330965754, 9783330965751.
  • Application of Computer Numerical Control Machine Based on Internet of Things System, M.SC. Thesis, University of Technology, 2017.
  • CNC Machine Based on Embedded Wireless and IoT for Workshop Development, Proceedings of IEEE-2017 International Conference on Control, Automation, and Diagnosis (ICCADā€™17), IEEE-RAS Meeting, Tunis, January 2017.
  • Prototype Wireless Controller System for Engraving Machine, Proceedings of UKSim-AMSS 19th International Conference on Modelling & Simulation, Cambridge, UK, April 2017.
  • Microstrip Grid Antenna Array for 5G Mobile Devices, Journal of Communications, vol. 13, no. 5, pp. 225-229, 2018. DOI: 10.12720/jcm.13.5.225-229.
  • Industrial Cloud Monitoring System based on Internet of Things, 2nd World Conference on Smart Trends in System, Security, Security & Sustainability, London, UK, 2018. IEEE Xplore Digital Library, Index in Scopus & EI.
  • IoT Management Solution: A Case Study of Fill Level Monitoring for Gravel Silos, IOP Journal of Physics (Online ISSN: 1742-6596, Print ISSN: 1742-6588, SCOPUS Indexed).
  • A High-Sensitivity Ionization Humidity Sensor Based on Carbon Nanotubes, Nature, Scientific Reports.
  • Enhanced Humidity Sensing Performance of a Triple-Electrode Ionization Sensor Utilizing Carbon Nanotubes, Sensors and Actuators: A. Physical.

Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Deanā€™s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018