Syed Imaduddin

About

Syed Imaduddin is a dedicated researcher and technology enthusiast with a passion for innovation in the fields of FPGA programming, machine learning, and semiconductor technologies. He holds a Bachelor's degree in [Field], where he demonstrated exceptional aptitude and enthusiasm for research.

Throughout his academic journey, Syed has been involved in various cutting-edge projects, including the development of an FPGA-Based SVM for Sleep Apnea Detection. His research in this area has led to the publication of several papers, contributing significantly to the advancement of medical technology.

Syed's professional experience extends beyond academia, with internships at NRSC, ISRO, and other esteemed institutions. During these internships, he worked on projects involving satellite imagery analysis, electrified transportation, and semiconductor industries, showcasing his versatility and adaptability in different domains.

In addition to his research accomplishments, Syed has received recognition for his technical prowess, winning several college competitions and hackathons. His commitment to excellence and innovation is evident in all his endeavors.

Syed Imaduddin's passion for research, coupled with his technical expertise, makes him a valuable asset to any collaborative endeavor in technology and innovation. He continues to explore new avenues for research and looks forward to making further contributions to the field.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• Power-Efficient FPGA Implementation of SVM for Sleep Apnea Detection
  2023 9th International Conference on Signal Processing and Communication (ICSC) 2023 DOI: 10.1109/icsc60394.2023.10441455
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• Detection of Brick Kilns Using Multi-Spectral Bands of Sentinel-2 Imagery
  2023 International Conference on Artificial Intelligence and Smart Communication (AISC) 2023 DOI: 10.1109/aisc56616.2023.10085085
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• Artificial Intelligence Based Approach for Classification of Human Activities Using MEMS Sensors Data
  Sensors 2023 DOI: 10.3390/s23031275
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• Image-based Foreign Object Detection using YOLO v7 Algorithm for Electric Vehicle Wireless Charging Applications
  2023 5th International Conference on Power, Control & Embedded Systems (ICPCES) 2023 DOI: 10.1109/icpces57104.2023.10075892
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• Classification of Human Motion Activities using Mobile Phone Sensors and Deep Learning Model
  2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) 2022 DOI: 10.1109/icaccs54159.2022.9785009
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