Mr. Meet Patel | AI Awards | Best Researcher Award

Posted on by ScienceFather

Mr. Meet Patel | AI Awards | Best Researcher Award

Mr. Meet Patel, Deutsche Bank, India

Mr. Meet Patel is a proficient Senior Analyst at Deutsche Bank, India, with a Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University. Graduating in 2022 with an impressive GPA of 8.73, he has a robust technical skill set encompassing programming languages, databases, and various developer tools and technologies. Meet’s professional experience includes optimizing transaction reporting and enhancing image captioning models at Deutsche Bank, as well as developing secure backend APIs and cloud services during his internship at Bullsurge. His research contributions at Dr. Sudeep Tanwar’s Research Group focus on autonomous vehicle efficiency and medical image categorization, showcasing his dedication to advancing technology and innovation.

Professional Profile:

Orcid

🎓 Education:

Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University, Ahmedabad, India (May 2022), with an impressive GPA of 8.73. Studied courses like Data Structures & Algorithms, Object-Oriented Programming, Databases, Operating Systems, Web Development, Software Engineering, Microservices Architecture, Machine Learning, Deep Learning, NLP, and Big Data Analytics.

💻 Technical Skills:

Proficient in multiple programming languages including C/C++, Java, Python, GoLang, Dart, HTML/CSS, JavaScript, SQL, and Shell. Experienced with databases like MySQL, MongoDB, Firebase, DynamoDB, Apache Cassandra, Redis, and PostgreSQL. Skilled in developer tools such as Github, Confluence, Jira, Bitbucket, VS Code, IntelliJ, Android Studio, Unix/Linux, Postman, and TeamCity. Familiar with technologies and frameworks including Spring Boot, MERN stack, Django, Flutter, Docker, Kubernetes, AWS, GCP, Tensorflow, Pytorch, Hadoop, and Spark.

🏢 Work Experience:

Senior Analyst at Deutsche Bank (July 2022 – Present):
Engineered core microservices to automate transaction reporting for big data, optimized resource utilization, and enhanced the production efficiency of an image captioning model.

Software Engineer Intern at Bullsurge (December 2021 – June 2022):
Developed secure backend APIs, architected investment management portals, and deployed services to AWS cloud infrastructure.

Technology Analyst Intern at Deutsche Bank (May 2021 – July 2021):
Developed a context-aware chatbot, optimized NLP techniques, and designed a ReactJS-based chatbot interface.

🔬 Research Experience:

Research Assistant at Dr. Sudeep Tanwar’s Research Group (August 2022 – Present):
Led research on the “HyDiT” project for efficient Autonomous Vehicles, collaborated on projects innovating visual-language fusion modules, and conducted independent studies on medical image categorization for disease diagnosis.

Publication Top Notes:

Explainable AI for GastroIntestinal Disease Diagnosis in Telesurgery Healthcare 4.0
A Privacy-Preserving Federated Learning Approach for Autonomous EVs in Green Open RAN

 

 

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Posted on by ScienceFather

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: