Mr. Meet Patel | AI Awards | Best Researcher Award

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

πŸŽ“ 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.

πŸ’» 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.

πŸ”¬ 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

 

 

Mr. Doudou Ren | Artificial Intelligence Awards | Best Researcher Award

Mr. Doudou Ren | Artificial Intelligence Awards | Best Researcher Award

Mr. Doudou Ren, Xinjiang University, China

Mr. Doudou Ren, a dedicated Master’s student at Xinjiang University πŸ‡¨πŸ‡³, is excelling in Computer Science and Technology, ranking 21st in his class. He previously graduated 4th in his class with a Bachelor’s in Internet of Things Engineering from Anhui University of Engineering πŸŽ“. Doudou has contributed to several significant projects, including the State Grid Project, where he optimized low-resolution equipment defect identification algorithms using image enhancement techniques πŸ› οΈ. His research includes an independently published paper on a small object detection algorithm and contributions to the “Group Intelligent Autonomous Operation Smart Farm” project, developing crop scenario perception models 🌾. At the Xinjiang Multilingual Information Technology Laboratory, he is actively engaged in multiple National Natural Science Foundation projects, showcasing his expertise and commitment to advancing technology and research πŸ”¬.

Professional Profile:

Orcid

πŸ“šEducation:

Doudou Ren is currently pursuing a Master’s Degree in Computer Science and Technology at Xinjiang University’s School of Computer Science and Technology, a National First Class Construction Discipline, where he ranks 21st in his class. He previously completed his Bachelor’s Degree in Internet of Things Engineering at Anhui University of Engineering’s School of Computer and Information Technology, graduating with a professional score ranking of 4th out of 88 students.

πŸŽ“Work Experience:

Doudou Ren has participated in several significant projects, including the State Grid Project (Horizontal) where he worked on optimizing low-resolution equipment defect identification algorithms based on image enhancement (SGXJXT00JFJS2200076). His responsibilities included writing technical reports and final accounts detailing project objectives, methods, implementation processes, and results. He also independently wrote and published an academic paper titled “MFDF-YOLOv7: YOLOv7-Based Multiscale Feature Dynamic Fusion Small Object Detection Algorithm”. Additionally, he contributed to the National Major Science and Technology Project “Group Intelligent Autonomous Operation Smart Farm” (National Class B), focusing on developing a crop growth scenario understanding model (2022ZD0115802). In this role, he was responsible for extracting characteristic information of grass pests, designing crop scenario perception models, writing project documents and technical reports, and conducting experiments to verify model performance in real farm environments. As a key researcher at the Xinjiang Multilingual Information Technology Laboratory, Doudou is currently involved in multiple National Natural Science Foundation projects.

Publication Top Notes:

Improved Weed Detection in Cotton Fields Using Enhanced YOLOv8s with Modified Feature Extraction Modules
Β  Β Published Year: 2023
A Lightweight and Dynamic Feature Aggregation Method for Cotton Field Weed Detection Based on Enhanced YOLOv8
Β  Β Published Year: 2023

 

Mr. Yaxin Luopan | Federated Learning | Best Researcher Award

Mr. Yaxin Luopan | Federated Learning | Best Researcher Award

Mr. Yaxin Luopan, Beijing Institute of Technology, China

🌟 Mr. Yaxin Luopan is a passionate learner and achiever in the realm of technology. Having earned his undergraduate degree in Software Engineering from Beijing Institute of Technology in 2022, he is now pursuing a Master’s in Computer Science and Technology at the same institution, showcasing his commitment to continuous academic growth. πŸŽ“ Yaxin’s exceptional skills were highlighted in 2020 when he secured the third prize in the China Artificial Intelligence Competition and earned the title of “Outstanding Student” at his university. πŸ† His academic excellence was further acknowledged with a first-class scholarship and the prestigious Lenovo Scholarship, a testament to being among the top 1% of students. 🌟 Yaxin’s journey includes serving as a programming trainer for Apple’s Winter Camp, acing the PAT Advanced Level Programming Ability Exam, and contributing to Natural Language Processing (NLP) algorithms during an internship at Zhaopin.com. His versatile experiences reflect a dedication to excellence in education, programming, and cutting-edge technology. πŸš€

πŸŽ“Β Education :

Mr. Yaxin Luopan is a dedicated individual on a journey of continuous learning and academic achievement. From 2018 to 2022, he pursued his undergraduate degree in Software Engineering at Beijing Institute of Technology. πŸŽ“ Now, in the pursuit of higher knowledge, Yaxin is currently enrolled in the Master’s program in Computer Science and Technology at the same institution, embarking on the exciting adventure of postgraduate studies. πŸš€ His educational path reflects a commitment to the ever-evolving field of technology, showcasing a passion for software engineering and a determination to delve deeper into the world of computer science. Here’s to Yaxin’s academic endeavors and the promising future that lies ahead! 🌟

🌐 Professional Profiles :

Scopus

Β πŸ† Skills :

Yaxin Luopan not only excels academically but has also demonstrated outstanding skills and achievements. 🌟 In September 2020, he clinched the third prize in the prestigious 2020 China Artificial Intelligence Competition, a remarkable feat at the national level. πŸ† His dedication and excellence were further recognized by Beijing Institute of Technology, where he earned the coveted title of “Outstanding Student.” πŸŽ“ Yaxin’s commitment to excellence was also evident in January 2020 when he secured a first-class scholarship for both the first and second semesters.

In December 2021, Yaxin received the prestigious Lenovo Scholarship, a testament to his exceptional skills and academic prowess, as this scholarship is awarded to only the top 1% of students. πŸ’Ό As he approached graduation in June 2022, Yaxin Luopan was honored with the title of “Outstanding Graduate” by Beijing Institute of Technology, marking the culmination of his remarkable academic journey. πŸš€ His skills, awards, and accolades reflect not only a passion for learning but also a commitment to excellence that sets him apart. Congratulations to Yaxin on his well-deserved achievements! πŸŽ‰

πŸ’» Experience :

Yaxin Luopan brings a wealth of experience and expertise to the table. In January 2021, he served as a programming trainer for Apple’s Winter Camp in Yunnan Province, showcasing his skills as an instructor in the realm of coding. 🍏 Later in September 2021, Yaxin’s programming prowess shone brightly when he secured the first position with a perfect score of 100 in the PAT Advanced Level Programming Ability Exam. πŸ†

His journey continued with a valuable internship at Zhaopin.com from June to August 2023, where he contributed to the field of Natural Language Processing (NLP) algorithms. πŸ–₯️ This experience not only enriched his knowledge but also provided practical insights into the dynamic world of algorithm development. Yaxin Luopan’s multifaceted experiences underscore his versatility and dedication in the realms of education, programming, and cutting-edge technology. 🌐✨

🌐 Research Interest :

Mr. Yaxin Luopan, a tech enthusiast with a passion for cutting-edge advancements in Edge & Fog Computing and Federated Learning. 🌐 His research interests delve into the realms where the cloud meets the edge, exploring the possibilities of decentralized computing and collaborative machine learning. πŸš€ Yaxin’s dedication to these fields reflects a commitment to shaping the future of technology, where seamless connectivity and intelligent systems pave the way for transformative innovations. Join him on this exciting journey at the intersection of innovation and computation! 🌟

Publications Top NotesΒ  :

1.Β  FedViT: Federated continual learning of vision transformer at edge

Journal: Future Generation Computer Systems

Published Year: 2024

2.Β  FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge

Conference: Proceedings – International Conference on Data Engineering

PublishedΒ Year: 2023