alper pahsa | Decision | Best Researcher Award

Mr.alper pahsa | Decision | Best Researcher Award

Mr . alper pahsa,Havelsan Inc,Turkey

 Mr. Alper Pahsa appears to be a strong candidate for a Best Researcher Award in a technical or engineering field, particularly in systems engineering, avionics, and defense technologies. Below is a summary analysis of his qualifications based on the key areas relevant to the award:

Summary:

Antonios Gasteratos is a highly accomplished academic with extensive experience in the fields of robotics, mechatronics, and computer vision. He holds a PhD from the Democritus University of Thrace in Greece, where he has served in various capacities, including as a professor and head of department. His prolific career is marked by significant contributions to research, teaching, and institutional leadership.

 

Professional Profiles:

Google Scholar

Education :

Ph.D. in Energy Systems Engineering,Ankara Yıldırım Beyazıt University, Graduate School of Natural Sciences
(February 2007 – Ongoing),Pursuing a Ph.D. with a focus on Computational Modelling and Experimental Correlation of Plasma Material Interaction in Nuclear Fusion TOKAMAK Reactors.,M.Sc. in Computer Engineering,Ankara University, Graduate School of Natural Sciences,(February 2005 – February 2007)
Completed a Master’s degree with a thesis on “Radiation Dosimeter System by using Image Processing Techniques.,B.Sc. in Computer Engineering,Atılım University,(September 1999 – June 2003),Graduated with a Bachelor’s degree in Computer Engineering.

Work Experience:

Analysis Integration Team Leader, HAVELSAN,(2021 – Present),Leading the Analysis Integration Team for various Government Enterprise Information System Projects. Responsibilities include managing analysis, requirement management, development support, and integration analysis processes for different customers.,Systems Engineer, HAVELSAN,(2014 – 2021),Involved in the Advanced Imaging Technologies Project for the Undersecretariat of Defence. Key roles included Requirements Developer and System Design with UML modeling using Enterprise Architect.,Part-Time Instructor, Atılım University,(2015 – 2020),Taught AEE402 Avionic Computer Systems at the Civil Aviation Faculty, Avionics Department,Systems Engineer, HAVELSAN,(April 2008 – 2014),Engaged in various roles including Model-Based Systems Engineering, System Analysis and Design, Development, Test and Verification, and RAMS Analysis. Worked on Homeland Security Systems, Remote Sensing Software Projects, and the Peace Eagle Project (Turkish Airborne Early Warning and Control Aircraft System Project), providing specialty engineering applications and systems engineering support.,System Test & Integration Engineer, HAVELSAN,(March 2005 – April 2008),Contributed to the Peace Eagle Project, focusing on Airborne Platform Mission Computing Subsystem Communication, Data Link Subsystem, Weapon Engagement Software Test, and System Control System Test and Integration Test.

 

Skills and Certifications:

Advanced Languages: English, German, Russian, Arabic,Intermediate Languages: Spanish,Technical Certifications,Agile Kanban for Software Development Team (December 2023),WorldQuant University Applied Data Science Lab Digital Badge (December 2023),Fundamentals of Quantum Computing, The Linux Foundation (October 2023),Systems Architecture Digital Badge, WPI (August 2023),CSEP Certificate of INCOSE (June 2016),TOGAF 9.2 Training Certificate (June 2020),UAV Class 1 and 2 License Certificates (October 2021),Various specialized training in Systems Engineering, Risk Management, and Safety in Aviation.

Research Focus:

Plasma Material Interaction and Computational Modelling:
Focused on the experimental correlation of Plasma Material Interaction within Nuclear Fusion TOKAMAK reactors, contributing to advancements in energy systems engineering.,Advanced Imaging Techniques:
Engaged in system engineering and design related to imaging techniques, including Hyperspectral Imaging and radiation dosimetry for medical applications.

Awards and Recognitions:

1st Prize for Patent, ISIF23 Istanbul International Inventions Fair,(May 2023),Recognized for innovation in patent development.

Conclusion:

Mr. Alper Pahsa is a highly qualified candidate for the Best Researcher Award, with a rich combination of professional experience, academic involvement, advanced education, continuous training, innovative patents, and multilingual abilities. His work in systems engineering, particularly within the defense and avionics sectors, demonstrates a deep commitment to research and development, making him a strong contender for recognition in this field.

Publications :

  • “Morphological Image Processing with Fuzzy Logic”
    Published in the Journal of Aeronautics and Space Technologies (2006) and cited 34 times.
    A pioneering study on applying fuzzy logic to morphological image processing.

 

  • “Integrating Navigation & Surveillance of Unmanned Air Vehicles into Civilian National Airspaces by Using ADS-B Applications”
    Presented at the 2011 Integrated Communications, Navigation, and Surveillance Conference, cited 19 times.
    A key paper on UAV integration into civilian airspaces.

 

  • Other notable publications include:
    • Contour detection techniques in medical imaging.
    • Fault tree analysis using Petri Nets for safety engineering.
    • Contributions to systems engineering in both military and civilian projects.

 

 

 

 

Tsung-Han Tsai | simulation| Best Researcher Award

Prof. Tsung-Han Tsai | simulation| Best Researcher Award

Prof. Tsung-Han Tsai ,National Central University,Taiwan

“Prof. Tsung-Han Tsai is a distinguished academic at National Central University in Taiwan, specializing in [insert specific field if known]. With a robust research background, Prof. Tsai’s work focuses on [briefly describe research interests or notable contributions]. He has contributed significantly to the field through numerous publications and is recognized for [mention any notable achievements or awards, if applicable]. Prof. Tsai plays a pivotal role in advancing [mention relevant academic or research area], fostering innovation and excellence in academia.”

 

Professional Profiles:

Orcid

Education :

Ph.D. in Electrical Engineering, National Taiwan University, 1998,M.S. in Electrical Engineering, National Taiwan University, 1994,B.S. in Electrical Engineering, National Taiwan University, 1990

 Experience:

Distinguished Professor, Department of Electrical Engineering, National Central University, since December 2023,Director, Intelligent Chip and System Center, National Central University, 2012-2021,Professor, Department of Electrical Engineering, National Central University, since July 2008

Research Interests:

  • VLSI Circuit Design
  • Digital Signal Processing
  • Video/Audio Coding
  • System-On-Chip
  • Artificial Intelligence & Neural Network Design

Professional Activities:

  • Director, Board of Governors, Taiwan Consumer Electronic Society
  • Director, Board of Governors, Taiwan IC Design Society
  • Principal Investigator, National Program for Intelligent Electronics (NPIE), Taiwan
  • Principal Investigator, VLSI Educational Project, Ministry of Education, Taiwan

Awards and Honors:

  • Taiwan NSC Research Award, 2001
  • Award for Excellent Contributions in Technology Transfer, 2007
  • Winner of 2011 ISSCC/DAC Student Design Contest
  • Multiple Best Paper Awards from IEEE conferences
  • National Central University Outstanding Research Award, 2009-present

Publications :

  • T.-H. Tsai and S.-W. Chen, “Single-Chip Design for Intelligent Surveillance System,” IEEE Transactions on VLSI Systems, DOI: 10.1109/TVLSI.2018.2827385, Apr. 2018. (SCI & EI)
  • T.-H. Tsai, T.-W. Huang, and R.-Z. Wang, “A Novel Method for 2D-to-3D Video Conversion Based on Boundary Information,” EURASIP Journal on Image and Video Processing, DOI: 10.1186/s13640-017-0239-5, Feb. 2018. (SCI & EI)
  • T.-H. Tsai, C.-H. Chang, S.-W. Chen, and C.-H. Yao, “Design of Vision-based Indoor Positioning Based on Embedded System,” IET Image Processing, DOI: 10.1049/iet-ipr.2018.6285, Aug. 2019. (SCI & EI)
  • T.-H. Tsai and Y.-C. Lee, “A Light-Weight Neural Network for Wafer Map Classification Based on Data Augmentation,” IEEE Transactions on Semiconductor Manufacturing, DOI: 10.1109/TSM.2020.3013004, vol. 33, issue 4, pp. 663-672, Nov. 2020. (SCI & EI)
  • T.-H. Tsai, K.-L. Zhang, and Y.R. Tsai, “Design and Implementation on Intelligent Homecare Appliance System,” IEEE Consumer Electronics Magazine, vol. 9, no. 1, pp. 16-21, 1 Jan. 2020. (SCI & EI)
  • T.-H. Tsai, C.-C. Huang, C.-H. Chang, and M. A. Hussain, “Design of Wireless Vision Sensor Network for Smart Home,” IEEE Access, DOI: 10.1109/ACCESS.2020.2982438, vol. 8, pp. 60455-60467, Mar. 2020. (SCI & EI)
  • M. A. Hussain and T.-H. Tsai, “Memory Access Optimization for On-Chip Transfer Learning,” IEEE Transactions on Circuits and Systems I: Regular Papers, DOI: 10.1109/TCSI.2021.3055281, vol. 68, issue 4, pp. 1507-1519, Apr. 2021. (SCI & EI)
  • T.-H. Tsai and C.-H. Yao, “A Robust Tracking Algorithm for a Human-Following Mobile Robot,” IET Image Processing, DOI: 10.1049/ipr2.12062, vol. 15, issue 3, pp. 786-796, Feb. 2021. (SCI & EI)
  • T.-H. Tsai and Y.-R. Tsai, “Architecture Design and VLSI Implementation of 3D Hand Gesture Recognition System,” IEEE Sensors, DOI: 10.3390/s21206724, vol. 21, no. 21, pp. 6724, Oct. 2021. (SCI & EI)
  • T.-H. Tsai, P.-C. Hao, and C.-L. Wang, “Self-Defined Text-Dependent Wake-Up Words Speaker Recognition System,” IEEE Access, DOI: 10.1109/ACCESS.2021.3117602, vol. 9, pp. 138668-138676, Oct. 2021. (SCI & EI)
  • T.-H. Tsai and P.-T. Chi, “A Single-Stage Face Detection and Face Recognition Deep Neural Network Based on Feature Pyramid and Triplet Loss,” IET Image Processing, DOI: 10.1049/ipr2.12479, 2022. (SCI & EI)
  • T.-H. Tsai and S.-A. Huang, “Refined U-net: A New Semantic Technique on Hand Segmentation,” Neurocomputing, vol. 495, pp. 1-10, 2022. DOI: 10.1016/j.neucom.2022.04.079. (SCI & EI)
  • T.-H. Tsai and C.-S. Cheng, “Automatic Optical Inspection System for Wire Color Sequence Detection,” Sensors, 2022, 22, 5885. DOI: 10.3390/s22155885. (SCI & EI)
  • M. A. Hussain, C.-L. Lee, and T.-H. Tsai, “An Efficient Incremental Learning Algorithm for Sound Classification,” IEEE MultiMedia, 2022, DOI: 10.1109/MMUL.2022.3208923. (SCI & EI)
  • M. A. Hussain, S.-A. Huang, and T.-H. Tsai, “Learning with Sharing: An Edge-Optimized Incremental Learning Method for Deep Neural Networks,” IEEE Transactions on Emerging Topics in Computing, 2022, DOI: 10.1109/TETC.2022.3210905. (SCI & EI)
  • T.-H. Tsai, J.-X. Lu, X.-Y. Chou, and C.-Y. Wang, “Joint Masked Face Recognition and Temperature Measurement System Using Convolutional Neural Networks,” Sensors, 2023, 23, 2901. DOI: 10.3390/s23062901. (SCI & EI)
  • T.-H. Tsai and Y.-W. Tseng, “BiSeNet V3: Bilateral Segmentation Network with Coordinate Attention for Real-Time Semantic Segmentation,” Neurocomputing, vol. 532, May 2023, pp. 33-42. DOI: 10.1016/j.neucom.2023.02.025. (SCI & EI)
  • T.-H. Tsai and X.-H. Lin, “Speech Densely Connected Convolutional Networks for Small-Footprint Keyword Spotting,” Multimedia Tools and Applications, 2023. DOI: 10.1007/s11042-023-14617-5. (SCI & EI)
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