Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award

Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award 

Dr. Tara P Banjade, East China University of Technology, Nanchang, China

Dr. Tara P. Banjade is an Associate Professor at the East China University of Technology, Nanchang, China, specializing in applied mathematics, seismic signal processing, and artificial intelligence applications for seismic data processing. He completed his Ph.D. in Applied Mathematics at Harbin Institute of Technology in China in 2020, following a Master’s and Bachelor’s in Mathematics from Tribhuvan University, Nepal. Dr. Banjade’s research focuses on developing mathematical algorithms for denoising seismic data, including 1D earthquake signals and 2D geophysical data like oil, gas, and ground-penetrating radar (GPR) data. His innovative approaches employ techniques such as variational mode decomposition, wavelet transforms, and artificial intelligence, including DARE U-Net for seismic noise attenuation and self-guided singular value decomposition for data edge detection.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Tara P. Banjade demonstrates an impressive academic and research profile, particularly within Applied Mathematics and Seismic Signal Processing, fields which align closely with the scope of the Best Researcher Award. His doctoral education from Harbin Institute of Technology and ongoing research position at East China University of Technology position him as a strong candidate.

Education

  1. Harbin Institute of Technology, Harbin, China
    • Ph.D. in Applied Mathematics
    • Duration: September 2015 – January 2020
  2. Tribhuvan University, Kathmandu, Nepal
    • Master’s in Mathematics
    • Duration: 2012 – 2014
  3. Tribhuvan University, Kathmandu, Nepal
    • Bachelor’s in Mathematics
    • Duration: 2006 – 2010

Work Experience

  1. Associate Professor
    • Institution: East China University of Technology, School of Geophysics and Measurement-Control Technology, Nanchang, Jiangxi, China
    • Duration: March 2023 – Present
  2. Founder/Chairperson
    • Organization: Intellisia Institute for Research and Development, Nepal
  3. Research Director
    • Organization: Girija Prasad Koirala Foundation
    • Duration: 2020 – Present
  4. Visiting Scientist
    • Institution: Research Centre for Applied Science and Technology (RECAST), Tribhuvan University, Nepal
  5. Founding Member and Mathematics Lecturer
    • Institution: Arunima College, Tribhuvan University, Nepal
    • Duration: 2020 – 2023
  6. Executive Member
    • Organization: Nepal Mathematical Society
    • Duration: 2021 – 2024
  7. Visiting Faculty
    • Institution: School of Mathematical Science, Tribhuvan University, Nepa.

Publication top Notes:

Seismic Random Noise Attenuation Using DARE U-Net

Enhancing seismic data by edge-preserving geometrical mode decomposition

Mr. Heng Luo | Machine Learning Awards | Young Scientist Award

Mr. Heng Luo | Machine Learning Awards | Young Scientist Award 

Mr. Heng Luo, The Hong Kong Polytechnic University, Hong Kong

Heng Luo is a distinguished researcher and PhD candidate at The Hong Kong Polytechnic University, specializing in the Institute of Textiles and Clothing since January 2021. His academic journey is marked by diverse and rich experiences across several prestigious institutions. Heng holds a Master’s degree in Electronic Engineering from the University of Electronic Science and Technology of China, completed in 2013, followed by another Master’s degree from the same institution in 2016, focusing on the Department of Industrial and Systems Engineering. Additionally, he earned an MSc from the University of Warwick’s Manufacturing Group. Heng’s research interests span across smart hardware, artificial intelligence, flexible devices, robotics, signal processing, cloud computing, and edge computing. His dedication to advancing technology is reflected in his active memberships with the Institution of Engineering and Technology and the IEEE, where he also contributes as a member of the Young Professionals group. His contributions to the field are recognized on platforms such as SciProfiles and ORCID, showcasing his commitment to connecting research and researchers worldwide. Heng Luo’s work exemplifies the integration of interdisciplinary knowledge and innovative thinking, driving forward the frontiers of technology and engineering

Professional Profile:

ORCID

Education:

  • 🎓 PhD, The Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2021 – Present)
  • 🎓 MSc, Warwick Manufacturing Group, The University of Warwick, Coventry, West Midlands, UK (2013 – 2016)
  • 🎓 MSc, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2013 – 2016)
  • 🎓 Master Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2012 – 2013)
  • 🎓 Bachelor Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2008 – 2012)

Membership and Service:

  • 🏛️ Member, Institution of Engineering and Technology, Hong Kong, UK (2021 – Present)
  • 🌐 Member, IEEE, Hong Kong, NY, US (2021 – Present)
  • 👨‍💻 Young Professionals, IEEE, Hong Kong, NY, US (2021 – Present)

Work Experience

Note: The original information provided did not include details about work experience. If there is specific information about Heng Luo’s work experience that needs to be included, please provide those details.

Publication top Notes:

Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Article identification method and device based on machine learning

Observer-based control of discrete-time fuzzy positive systems with time delays

Observer-based control of discrete-time fuzzy positive systems with time delays

Stability analysis of discrete-time fuzzy positive systems with time delays

Method for generating multi-input multi-output over-horizon (MIMO-OTH) radar waveforms based on digital signal processor (DSP) sequences