JiaLi Zhu | Artificial Intelligence | Best Researcher Award

Ms JiaLi Zhu | Artificial Intelligence | Best Researcher Award ๐Ÿ†

Research Fellow at University of Naples Federico II , Italy๐ŸŽ“

Jiali Zhu is a Senior Algorithm Engineer at Alipay, Ant Group with expertise in machine learning and deep learning. She holds a Masterโ€™s degree in Computer Technology from Southeast University, completed in June 2023 . Since July 2023, Jiali has worked as a Machine Learning Algorithm Engineer at Ant Groupโ€™s Alipay, focusing on cutting-edge algorithm development .

Professional Profile

Education๐ŸŽ“

Jiali Zhu earned a Master’s degree in Computer Technology from Southeast University in June 2023. Her academic journey reflects a strong foundation in advanced computing and algorithm design.

๐Ÿ’ผWork Experience

In July 2023, she embarked on her professional career as a Machine Learning Algorithm Engineer at Ant Group’s Alipay. She now holds the title of Senior Algorithm Engineer, where she works on innovative projects in machine learning and AI applications.

ย ๐Ÿ› ๏ธSkills

Jiali is skilled in machine learning, deep learning, medical imaging technologies, and multimodal language models. Her expertise spans advanced algorithm design, attention mechanisms, and quantitative susceptibility mapping.

๐Ÿ†Awards and Honors

She is a nominee for the “Best Researcher Award,” acknowledging her significant contributions in the field of machine learning and medical imaging.

ย Research Focus ๐Ÿ”ฌ

Jialiโ€™s research focuses on integrating deep learning with medical imaging. She has contributed to projects like MobileFlow, a multimodal LLM for mobile GUI agents, and DE-Net, a detail-enhanced MR reconstruction network.

 

๐Ÿ“–Publications :ย 

  • DE-Net: Detail-enhanced MR reconstruction network via global-local dependent attention
    ๐Ÿ“… Year: 2024
    ๐Ÿ“– Journal: Biomedical Signal Processing and Control
    ๐Ÿง  Authors: J. Zhu, D. Hu, W. Mao, J. Zhu, R. Hu, Y. Chen
  • MobileFlow: A Multimodal LLM For Mobile GUI Agent
    ๐Ÿ“… Year: 2024
    ๐Ÿ“– Journal: arXiv preprint (arXiv:2407.04346)
    ๐Ÿง  Authors: S. Nong, J. Zhu, R. Wu, J. Jin, S. Shan, X. Huang, W. Xu
  • Edge prior guided dictionary learning for quantitative susceptibility mapping reconstruction
    ๐Ÿ“… Year: 2022
    ๐Ÿ“– Journal: Quantitative Imaging in Medicine and Surgery
    ๐Ÿง  Authors: J. Du, Y. Ji, J. Zhu, X. Mai, J. Zou, Y. Chen, N. Gu

 

Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

Mr Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

 

Research Scholar and Project Associate I at Dibrugarh University ,India

Profile:

Scopusย 

Education:

Pritom Jyoti Goutom is affiliated with the Centre for Computer Science and Applications at Dibrugarh University in Assam, India ๐Ÿ‡ฎ๐Ÿ‡ณ. His research focuses on natural language processing (NLP), particularly related to the Assamese language ๐Ÿ—ฃ๏ธ.

Some of his notable contributions include:

  1. Text Summarization ๐Ÿ“„: He has co-authored papers on text summarization techniques using deep learning, such as “An Abstractive Text Summarization Using Deep Learning in Assamese” and “Text Summarization in Assamese Language Using Sequence to Sequence RNNs”ใ€5โ€‹ (ORCID)โ€‹โ€‹ (Dibrugarh University)โ€‹2. Collaboration with Dr. Nomi Baruah ๐Ÿค: He often works with Dr. Baruah and others on projects aimed at improving NLP for low-resource languages.

For more details about his educational background and academic contributions, you can check his profile on academic platforms like ORCIDใ€5โ€‹ (ORCID)

Professional Experience:

๐ŸŽ“ Research Scholar at Dibrugarh University
Specializing in Natural Language Processing (NLP) and AI-generated text in Assamese.
๐Ÿ” Research Focus: Text summarization, part-of-speech tagging, and fake news detection.

๐Ÿ‘จโ€๐Ÿ’ป Project Associate I, Dept. of Computer Science and Engineering
Contributing to cutting-edge projects and innovations in AI and NLP.

Research ย Focusย  ย :

  • Text Summarization: Developing algorithms for concise representation of Assamese text.
  • Machine Translation: Enhancing language conversion models for Assamese.
  • Sentiment Analysis: Analyzing opinions and emotions expressed in Assamese text.
  • Named Entity Recognition (NER): Identifying and categorizing entities in Assamese text.
  • Fake News Detection: Implementing models to identify misinformation in Assamese news sources.
  • Language Modeling: Building computational models to understand and generate Assamese text.

 

Contributions :

  • Co-authored research on abstractive text summarization using deep learning approaches, focusing on the nuances of the Assamese language.
  • Investigated LSTM and BiLSTM algorithms for fake news detection, enhancing accuracy and reliability in Assamese news sources.
  • Developed attention-based transformer models for text summarization in Assamese, improving content extraction and generation.
  • Worked on automatic spelling error identification using deep learning algorithms tailored for Assamese language nuances.

Citations:

Total Citations: ๐Ÿ“ˆ 13

Total Documents:ย  ๐Ÿ“‚3

h-index: ๐ŸŒŸ 1

Publication Top Notes:

  • Goutom, P. J., Baruah, N., & Sonowal, P. (2023). An abstractive text summarization using deep learning in Assamese. International Journal of Information Technology, 15(5), 2365-2372. (6 citations)

 

  • Phukan, R., Goutom, P. J., & Baruah, N. (2024). Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques. Procedia Computer Science, 235, 2167-2177.

 

  • Goutom, P. J., Baruah, N., & Sonowal, P. (2024). Attention-based Transformer for Assamese Abstractive Text Summarization. Procedia Computer Science, 235, 1097-1104.

 

  • Phukan, R., Neog, M., Goutom, P. J., & Baruah, N. (2024). Automated Spelling Error Detection in Assamese Texts using Deep Learning Approaches. Procedia Computer Science, 235, 1684-1694.

 

  • Goutom, P. J., & Baruah, N. (2023). Text summarization in Assamese language using sequence to sequence RNNs. Indian Journal of Science and Technology, 16(SP2), 22-29.