Dr. Zhi-Peng Guo | Neuroimaging Networks | Best Researcher Award

Dr. Zhi-Peng Guo | Neuroimaging Networks | Best Researcher Award

Dr. Zhi-Peng Guo, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, China

Dr. Zhi-Peng Guo is a Doctor specializing in Psychiatry at the Beijing Hospital of Traditional Chinese Medicine, Capital Medical University. Currently pursuing his doctoral degree, Dr. Guo’s research focuses on psychiatric disorders, particularly the functional and structural brain abnormalities associated with these conditions. With several years of experience in the field, including as a radiologist with expertise in functional MRI, he has published over 10 peer-reviewed papers in leading journals such as the Journal of Affective Disorders and Neuroimage: Clinical. His research contributes to the development of MRI biomarkers for diagnosing psychiatric disorders and tracking treatment outcomes. Dr. Guo is also actively involved in research and development, collaborating on innovative solutions to advance the understanding of psychiatric conditions. He participates in extension activities by presenting his findings at conferences and hosting training sessions, aiming to bridge the gap between research and practical application.

Publication Profile:

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Suitability for the Award:

Dr. Zhi-Peng Guo is an ideal candidate for the Research for Best Researcher Award, given his significant contributions to psychiatry and depression research. His achievements align with the award’s objectives, as he has:

  • Produced a notable body of impactful research in psychiatric imaging.
  • Demonstrated excellence in collaborative and innovative research, advancing diagnostic tools and treatment outcomes.
  • Contributed to the practical application of research through extensive extension activities.

Academic Background:

Dr. Zhi-Peng Guo is pursuing his doctoral degree at the Institute of Traditional Chinese Medicine, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University. His research focuses on psychiatric disorders, particularly functional and structural brain abnormalities. 🎓

Experience & Expertise:

With years of experience in psychiatry, Dr. Guo has worked as a radiologist specializing in functional MRI. His practical experience has deepened his understanding of psychiatric disorders and the challenges of diagnosing and treating them. đź©»

Research & Publications:

Dr. Guo has published over 10 peer-reviewed papers in prominent journals such as Journal of Affective Disorders and Neuroimage: Clinical. His research on MRI biomarkers has advanced psychiatric imaging, especially in diagnosing and tracking treatment outcomes. 📚🧑‍🔬

Contributions to Research & Innovation:

Dr. Guo has led collaborative research projects, exploring novel solutions for brain abnormalities in psychiatric disorders. He is passionate about innovation, contributing to the development of new diagnostic tools and treatments. 💡🔬

Extension & Knowledge Sharing:

Committed to bridging research and practice, Dr. Guo actively participates in conferences, seminars, and workshops, sharing his findings with the broader community and advancing the application of his research. 🌍🎤

Publication Top Notes:

  • The impact of insomnia on brain networks topology in depressed patients: A resting-state fMRI study
    • Year: 2024-12
  • Transcutaneous Auricular Vagus Nerve Stimulation Modulating the Brain Topological Architecture of Functional Network in Major Depressive Disorder: An fMRI Study
    • Year: 2024-09-21
  • Altered static and dynamic functional network connectivity in individuals with subthreshold depression: A large-scale resting-state fMRI study
    • Year: 2024-07-24
  • Alterations in regional homogeneity and functional connectivity associated with cognitive impairment in patients with hypertension: A resting-state functional magnetic resonance imaging study
    • Year: 2023-05

 

 

Mr. Utkarsh Lal | Computational Neuroscience Award | Best Researcher Award

Mr. Utkarsh Lal | Computational Neuroscience Award | Best Researcher Award

Mr. Utkarsh Lal, Manipal Institute of Technology, india

Utkarsh Lal is a versatile data scientist and engineer with a strong academic background and extensive professional experience. He holds a Bachelor of Technology in Computer Science and Engineering with a Specialization in Big Data from Manipal Institute of Technology. Currently employed as a Data Engineer at Amazon, Utkarsh previously worked as a Data Science Consultant at StatusNeo, where he collaborated with Reliance Jio to develop predictive models for e-retail platforms. His expertise spans various domains, including machine learning, data architecture, and cloud computing, as evidenced by his roles at American Express, Accenture, and Kimberly-Clark. Utkarsh is also an accomplished researcher with publications in prestigious journals and certifications in data science and cloud technologies. Additionally, he has received recognition for his contributions, including the Best Paper award at the ICEEICT conference and selection as an AI mentee for the KaggleX BIPOC scholarship program. With a diverse skill set and a passion for innovation, Utkarsh continues to make significant contributions to the field of data science and engineering.

Professional profile:

Scopus

Google Scholar

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🎓 Education:

Utkarsh Lal obtained his Bachelor of Technology in Computer Science and Engineering with a specialization in Big Data from Manipal Institute of Technology, Karnataka, completing his studies from July 2017 to July 2021. This comprehensive program equipped him with the necessary skills and knowledge to excel in the field of computer science, with a specific focus on handling and analyzing large-scale data sets.

đź’Ľ Work Experience:

Utkarsh Lal has gained extensive professional experience across various prestigious organizations. Starting as an Agile Analytics Engineer Intern at Kimberly-Clark, Bangalore, from January 2021 to July 2021, he honed his skills in analytics and data engineering. Subsequently, he transitioned to Accenture, Gurugram, as a Data Science Analyst from August 2021 to March 2022, where he further developed his expertise in data analytics. Following this, Utkarsh held the role of Analyst – Product Development at American Express, Gurugram, from March 2022 to June 2022, focusing on product enhancement and risk analysis. He then served as a Data Science Consultant at StatusNeo, Gurugram, from August 2022 to December 2023, working on predictive modeling and analytics projects. Currently, he holds the position of Data Engineer at Amazon, Gurugram, from February 2024 onwards, contributing to data-driven solutions and innovations.

🛠️ Projects:

Utkarsh Lal has spearheaded several impactful projects across diverse domains. Notable among these is the development of a Product Popularity Forecaster and Calculator for Reliance JIO, aimed at predicting and quantifying product popularity on e-retail platforms. He also led the implementation of an End-to-End Data Architecture for Churn Analysis on Google Cloud at Accenture AI, facilitating insightful analysis of customer behavior. Additionally, Utkarsh contributed to pioneering research in Facial Emotion Recognition using CNN at MIT, advancing the field of computer vision. His expertise extends to predictive modeling, as demonstrated by his work on a Loan Default Prediction Supervised Classifier and a Sentiment Classifier with Web Crawler for product reviews, both at Kimberly Clark. Furthermore, he has engaged in exploratory projects in Computational Neuroscience, showcasing his versatility and commitment to cutting-edge research and innovation.

🏅 Scholarships & Achievements:

Utkarsh Lal’s contributions have been acknowledged through prestigious accolades. His research paper on negation handling in natural language processing (NLP) earned him the Best Paper award at the ICEEICT (IEEE) conference, showcasing his expertise and innovation in the field. Additionally, Utkarsh was selected as an AI mentee for the KaggleX BIPOC scholarship program in the 2023 cohort, receiving a grant of $1,000. These achievements underscore his dedication to advancing knowledge and expertise in artificial intelligence and data science

Publication Top notes: