Dr. Fatemeh Aghagoli | Machine Learning Awards | Best Researcher Award

Dr. Fatemeh Aghagoli | Machine Learning Awards | Best Researcher Award

Dr. Fatemeh Aghagoli, Iran University of Science and Technology, Iran 

🎓 Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is affiliated with the Faculty of Mathematics and Computer Science and is a member of the National Elite Foundation of Iran, recognized for her academic excellence. 🔍 Her primary research interests encompass machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly focusing on applications in medical science. 🌐 Actively contributing to cutting-edge research initiatives, Fatemeh leverages her expertise to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies. 📊 With a commitment to interdisciplinary applications, she has demonstrated exceptional academic prowess and a dedication to pushing the boundaries of knowledge in her field.

Professional Profile:

Google Scholar

🎓 Education:

Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is also a member of the National Elite Foundation of Iran, recognizing her academic excellence.

🔍 Research Interests:

Fatemeh’s primary research interests revolve around machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly in the field of medical science.

📊 Expertise:

With a focus on interdisciplinary applications, Fatemeh leverages her expertise in machine learning and image processing to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies.

🌟 Achievements:

As a member of the National Elite Foundation, Fatemeh has demonstrated exceptional academic prowess and a commitment to pushing the boundaries of knowledge in her field.

Publications Top Note :

A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering

  • Published in Biomedical Signal Processing and Control in 2024.

 

 

 

 

 

Dr. Bechoo Lal | Machine Learning Award | Best Faculty Award

Dr. Bechoo Lal | Machine Learning Award | Best Faculty Award

Dr. Bechoo Lal, KL University Vijayawada Campus Andhra Pradesh, India

Dr. Bechoo Lal 🎓 is an accomplished academic with expertise in Data Science, Machine Learning, and Big Data Analytics. He holds a Ph.D. in Computer Science and Information Systems from prestigious universities in India and the USA. Currently serving as an Associate Professor at KLEF-KL Deemed University, he has extensive teaching experience spanning over two decades across various institutions. Dr. Lal is deeply involved in research, with a focus on predictive modeling using Machine Learning and Data Science. He has received numerous certifications and training in Data Science-related fields, including from Stanford University and IBM. With a commitment to academic excellence, Dr. Lal has contributed significantly to the field through publications, projects, and memberships in professional organizations. 📚💻

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Bechoo Lal holds a PhD in Information Systems from the University of Mumbai, specializing in Data Analytics. He also completed a PhD in Computer Science from SJJT University, focusing on Machine Learning, and a Master of Technology in Computer Science and Engineering from AAI-Deemed University.

👨‍💼 Experience:

With over two decades of experience in academia, Dr. Lal has served as an Associate Professor at KLEF University, Vijayawada Campus, and as an Assistant Professor at various institutions including the University of Mumbai and King Khalid University in Saudi Arabia. He has expertise in teaching Data Science, Machine Learning, Database, and Programming Languages.

🔬 Research:

Dr. Lal’s research interests lie in Machine Learning and Data Science, with a focus on predictive modeling and big data analytics. He has supervised numerous PhD and master’s dissertations and has contributed significantly to research with over 60 publications, including patents, books, journals, and conference papers.

🌐 Skills:

Dr. Lal possesses strong technical skills in machine learning, data visualization, and predictive modeling, along with proficiency in programming languages such as Python, C/C++, and Java. He is well-versed in DBMS/RDBMS systems and statistical analysis tools like SPSS and R.

👨‍💻 Teaching:

As a dedicated educator, Dr. Lal has taught courses in Computer Science, Information Technology, and Software Engineering. He has also held administrative roles such as coordinator and examination chairperson, demonstrating leadership and organizational abilities.

📚 Memberships:

Dr. Lal is a member of several prestigious organizations including the International Association of Engineers (IAENG) and the Indian Society for Technical Education (ISTE). He also serves as a research supervisor and adjunct faculty for international universities.

Scopus Metrics:

  • 📝 Publications: 20 documents indexed in Scopus.
  • 📊 Citations: A total of 06 citations for his publications, reflecting the widespread impact and recognition of Dr. Bechoo Lal’s research within the academic community.

Publications Top Notes :

  1. A road map: e-commerce to world wide web growth of business world
    • Published in Global Journal of Management and Business Research in 2019.
    • Cited by 6 articles.
  2. Analysis of Business Processes and Modeling Approach to Business Process Re-Engineering
    • Published in International Journal of Computer Science and Information Technology in 2012.
    • Cited by 5 articles.
  3. Analysis Report on Attacks and Defence Modeling Approach to Cyber Security
    • Published in International Journal of Scientific Research in Science and Technology in 2019.
    • Cited by 2 articles.
  4. Critical Review of Success Factors of Knowledge Management System (KMS) on Competency Building on IT Based Organization
    • Published in British Journal of Research in 2014.
    • Cited by 1 article.
  5. An optimization approach to analysis of success factors and significance of IT enabled services in business process re-engineering
    • Published in International Journal of Computer Applications in Engineering Sciences in 2012.
    • Cited by 1 article.

 

 

 

 

 

 

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. 🎓 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. 🏆 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. 🚀

🎓 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. 🎓 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. 🚀 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

 🏆 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. 🏆 His dedication and excellence were further recognized by Beijing Institute of Technology, where he earned the coveted title of “Outstanding Student.” 🎓 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. 💼 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. 🚀 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! 🎉

💻 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. 🏆

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. 🖥️ 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. 🚀 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 Notes  :

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

Journal: Future Generation Computer Systems

Published Year: 2024

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

Conference: Proceedings – International Conference on Data Engineering

Published Year: 2023