Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

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Dr. Sridhar Patthi | Artificial Intelligence | Best Researcher Award

Dr. Sridhar Patthi , Marri Laxman Reddy Institute of Technology and Management , India

Dr. Patthi Sridhar is a seasoned academic and researcher currently serving as Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. With a Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, his expertise spans across various disciplines including image detection, deep learning for image processing, self-supervised learning, and anomaly detection. He has a rich educational background, holding a Master of Technology in both Computer Science and Engineering from GIET University, Odisha, and in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh. Dr. Sridhar has held progressive academic roles, previously serving as Professor and Dean at Institute of Aeronautical Engineering, Hyderabad. His research focuses on fault detection and diagnosis in electrical systems, power quality, and algorithms for research-oriented projects, reflecting his commitment to advancing technology and education.

Professional Profile:

Orcid

🎓Education:

Dr. Patthi Sridhar is a distinguished academic and researcher currently holding the position of Professor and Director at Marri Laxman Reddy Institute of Technology and Management in Hyderabad, Telangana State. He completed his Ph.D. in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad. His educational journey includes a Master of Technology in Computer Science and Engineering from GIET University, Odisha, and another Master of Technology in Electrical Power Systems from JNTU Kakinada, Andhra Pradesh.

🏢Work Experience:

Dr. Sridhar’s professional career spans various significant roles in academia. Prior to his current position, he served as Professor and Dean at the Institute of Aeronautical Engineering, Hyderabad, where he also held the position of Head of the Electrical and Electronics Engineering department. Before that, he worked as an Associate Professor and Officer in Charge of Examinations at the same institute.

Publication Top Notes:

  • Adaptive neuro-fuzzy inference system based evolving fault locator for double circuit transmission lines
    • Source: IAES International Journal of Artificial Intelligence
    • Year: 2020
  • Design of power analyzer using LabVIEW
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Step-up resonant converter for induction motor drive applications
    • Source: Journal of Physics: Conference Series
    • Year: 2020
  • Determination of stray losses using myDAQ
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018
  • Interfacing myRIO to control various sensors in electrical applications
    • Source: Journal of Engineering and Applied Sciences
    • Year: 2018

 

 

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

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Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu, National University of Singapore, Singapore

👨‍💼 Zhihe Lu is a dedicated researcher in the field of Computer Vision, with a focus on Transfer Learning, Few-shot Learning, and Continual Learning. He holds a Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK, where he conducted innovative research under the supervision of Prof. Tao Xiang. Prior to that, he completed his Master’s Degree in Computer Vision at the Institute of Automation, Chinese Academy of Sciences, and obtained a Bachelor of Engineering in Automation from Zhengzhou University. Currently, Zhihe serves as a Research Fellow at the National University of Singapore, contributing to the CARTIN project for scene understanding. His previous experience includes an internship at the AI center of Samsung, UK. Zhihe’s passion for advancing computer vision technologies drives his commitment to exploring novel approaches in the field. 🖥️

Professional Profile:

Google Scholar

📚 Education:

  • Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK (2019.07 – 2022.09) under the supervision of Prof. Tao Xiang.
  • Master’s Degree in Computer Vision from Institute of Automation, Chinese Academy of Sciences (2016.09 – 2019.06) under the supervision of Prof. Ran He.
  • Bachelor of Engineering in Automation from College of Electrical Engineering, Zhengzhou University (2010.09 – 2014.06).

💼 Working Experiences:

  • Research Fellow at National University of Singapore, Singapore (2022.09 – Present), working on part of the CARTIN project for scene understanding.
  • Intern at AI center of Samsung, UK (2021.10 – 2022.04).

🔍 Research Interests:

Zhihe Lu’s research interests lie in the areas of Computer Vision, Transfer Learning, Few-shot Learning, and Continual Learning.

Publication Top Notes: