JIE MENG | Neuroscience | Best Researcher Award

Posted on by sciencefather

Dr. JIE MENG | Neuroscience | Best Researcher Award 🏆

Assistant Professor at Sichuan University, China.

Dr. Jie Meng is an Assistant Professor at Sichuan University, China. With expertise in [specific field, e.g., molecular biology, environmental science, engineering], Dr. Meng has contributed significantly to both research and teaching. His work focuses onDr. Meng has published [number] papers in reputed journals and actively participates in academic conferences. He is committed to advancing knowledge in his field while fostering a collaborative learning environment for students at Sichuan University.

Profile

ORCID

Scopus

Education 🎓:

Jie Meng holds a Ph.D. in Neuroscience from Kyushu University, Japan, completed in 2019. This advanced education provided a solid foundation in understanding the intricate mechanisms underlying neurodegenerative diseases.

Work Experience 💼:

Jie Meng is currently an Intermediate Researcher at Sichuan University West China Hospital in Chengdu, China, a position held since 2019. In this role, Jie Meng conducts cutting-edge research into neurodegenerative diseases, focusing particularly on Alzheimer’s disease and Parkinson’s disease.

Awards and Honors

Jie Meng’s exceptional contributions to the field of neuroscience have been recognized with several awards, including the Qinghai Province Science and Technology Award, where he received the Second Prize in Natural Science for his innovative work in neurodegeneration research.

Research Interests:

Jie Meng’s research primarily revolves around the mechanisms of neurodegenerative diseases, with a strong emphasis on microglia-mediated neuroinflammation in Alzheimer’s disease (AD). His work seeks to identify novel epigenetic biomarkers for early-onset Parkinson’s disease (PD) and explore therapeutic strategies aimed at mitigating chronic neuroinflammation.,Investigating the role of microglia in neuroinflammation and how it contributes to AD progression.,Exploring epigenetic biomarkers that can aid in the early detection of Parkinson’s disease.,Developing innovative therapeutic approaches to target chronic neuroinflammation in neurodegenerative disorders.

📚 Publication 

  • Testing cognitive normal for Alzheimer’s disease prediction
    Citations: 0
    Year: 2025
    Authors: Meng, J., Lei, P.
    Journal: Journal of Neurochemistry

 

  • Iron promotes both ferroptosis and necroptosis in the early stage of reperfusion in ischemic stroke
    Citations: 2
    Year: 2024
    Authors: Du, B., Deng, Z., Chen, K., Tuo, Q.-Z., Lei, P.
    Journal: Genes and Diseases

 

 

  • How brain ‘cleaners’ fail: Mechanisms and therapeutic value of microglial phagocytosis in Alzheimer’s disease
    Citations: 12
    Year: 2024
    Authors: Ni, J., Xie, Z., Quan, Z., Meng, J., Qing, H.
    Journal: GLIA

 

  • Thrombin induces ferroptosis in triple-negative breast cancer through the cPLA2α/ACSL4 signaling pathway
    Citations: 5
    Year: 2024
    Authors: Xu, S., Tuo, Q.-Z., Meng, J., Li, C.-L., Lei, P.
    Journal: Translational Oncology

 

 

  • Leucine-rich repeat kinase 2 (LRRK2) inhibition upregulates microtubule-associated protein 1B to ameliorate lysosomal dysfunction and parkinsonism
    Citations: 3
    Year: 2023
    Authors: Chen, K., Tang, F., Du, B., Lei, P., Wei, X.-W.
    Journal: MedComm

 

  • The Dual Nature of Microglia in Alzheimer’s Disease: A Microglia-Neuron Crosstalk Perspective
    Citations: 8
    Year: 2023
    Authors: Xie, Z., Meng, J., Wu, Z., Qing, H., Ni, J.
    Journal: Neuroscientist

 

  • Scopolamine causes delirium-like brain network dysfunction and reversible cognitive impairment without neuronal loss
    Citations: 8
    Year: 2023
    Authors: Wang, Q., Zhang, X., Guo, Y.-J., Yue, J.-R., Lei, P.
    Journal: Zoological Research

 

  • Microglial cathepsin E plays a role in neuroinflammation and amyloid β production in Alzheimer’s disease
    Citations: 14
    Year: 2022
    Authors: Xie, Z., Meng, J., Kong, W., Qing, H., Ni, J.
    Journal: Aging Cell

 

  • Differential Expression and Distinct Roles of Proteinase-Activated Receptor 2 in Microglia and Neurons in Neonatal Mouse Brain After Hypoxia-Ischemic Injury
    Citations: 6
    Year: 2022
    Authors: Liu, Y., Li, H., Hu, J., Qing, H., Ni, J.
    Journal: Molecular Neurobiology

 

  • Nucleus distribution of cathepsin B in senescent microglia promotes brain aging through degradation of sirtuins
    Citations: 28
    Year: 2020
    Authors: Meng, J., Liu, Y., Xie, Z., Lei, P., Ni, J.
    Journal: Neurobiology of Aging

 

Conclusion 

In conclusion, to fully assess Dr. Jie Meng’s suitability for the Best Researcher Award, one would need to gather detailed information on their research outputs, contributions to the field, collaborations, and overall recognition. If their work aligns with the criteria outlined above, Dr. Meng could very well be a strong contender for the award. Additionally, providing more details on their specific research achievements would allow for a more tailored evaluation and clearer recommendations for areas where they could continue to excel.

 

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

Posted on by sciencefather

Mr Amit Chougule | Cognitive Neuroscience | Best Researcher Award

 

Researcher at Manentia AI, India

 

 

📚 Amit Chougule is a distinguished deep learning and AI researcher with a PhD from BITS Pilani, dedicated to advancing AI through cutting-edge research, algorithm development, and impactful industry contributions. He has over 3 years of expertise in AI and Computer Vision, having worked with esteemed organizations like Philips Research, Sony Research India, and Carleton University’s TrustCAV Research. Amit is proficient in Python and skilled in utilizing various libraries for data manipulation, statistical analysis, and machine learning. His experience includes designing end-to-end AI solutions and developing models for healthcare, autonomous vehicles, and more. 🚀🤖📊

Professional Profile:

 

🎓 Education:

  • PhD in Computer Vision & AI, BITS Pilani, Pilani (2021-2024)
    • Thesis: Artificial Intelligence Enabled Vehicular Vision and Service Provisioning for Advanced Driver Assistance Systems (ADAS)
    • Supervisors: Dr. Vinay Chamola, Dr. Pratik Narang & Prof. F. Richard Yu (IEEE Fellow)
  • M.Tech in Big Data & IoT, PES University, Bengaluru (2018-2020)
    • Specializations: IoT, Cloud Computing, Big Data & Cyber Security
  • B.Tech in Computer Engineering, Shivaji University (2013-2017)
    • Focus Areas: Computer Algorithm, Data Structure, Computer Networks & Operating System

💼 Experience:

  • Visiting Researcher, Carleton University, Canada (Dec 2022 – June 2023)
    • Developed techniques for enhancing self-driving vehicles.
    • Analyzed the impact of abnormal weather on vision-based autonomous vehicle operations.
    • Introduced a computer vision-based attention model for reliable autonomous driving in adverse weather.
  • Computer Vision Intern (PhD), Sony Research (Oct 2022 – Nov 2022)
    • Innovated a computer vision model for diagnosing diseases using biomarkers.
    • Developed an advanced pipeline for predicting diseases based on anatomical biomarkers.
  • Machine Learning Engineer, AIvolved Technologies (Aug 2020 – Dec 2020)
    • Worked on object detection, tracking, pose estimation, and web scraping for applications like gait analysis and traffic analysis.
  • Computer Vision Intern, Philips Healthcare Research (July 2019 – July 2020)
    • Conducted research on ultrasound medical imaging.
    • Developed an Anatomical Intelligent Fetal Heart Ultrasound Scanning technique.
    • Implemented an AI model for precise estimation of fetal femur length.

🔧 Skills:

  • Programming Languages: C, C++, JAVA, Python, SQL
  • Machine Learning Frameworks: PyTorch, Keras, TensorFlow
  • CI/CD Tools: Git
  • MLOps Frameworks and Tools: Docker, Kubernetes
  • Data Pipelines and Analytics Tools: Apache Spark, PySpark
  • Image Processing: OpenCV, Matplotlib, Scikit-image, SciPy, Pillow
  • Generative AI: Autoencoders, GANs, Diffusion Models
  • Computer Vision Domains: Image Classification, Object Detection, Object Tracking, Segmentation, Pose Estimation, Computational Geometry, Image Generation
  • Medical Imaging Tools: ImageJ, 3D Slicer, OsiriX, SimpleITK, ITK-SNAP, RadiAnt DICOM
  • Hardware: Arduino, Raspberry Pi, Nvidia Jetson Nano

🏆 Awards and Honors:

  1. Generative Adversarial Networks (GANs) Specialization by Coursera
  2. Deep Learning with Numpy by Udemy
  3. Getting Started with AWS Machine Learning by Amazon (Coursera)
  4. Computer Vision Basics by University at Buffalo and The State University of New York (Coursera)
  5. Digital Image Processing with OpenCV in Python by GEO University
  6. Data Science with Python by Pluralsight
  7. Pandas Foundations by Datacamp
  8. Python (Advanced Level) by HackerRank

🔬 Research Focus:

Amit Chougule is dedicated to advancing artificial intelligence through cutting-edge research, innovative algorithm development, and impactful industry contributions. He focuses on:

  • Deep Learning Technology: Solving complex real-world problems and driving societal impact.
  • Computer Vision: Enhancing autonomous vehicle capabilities, especially in adverse weather conditions.
  • Medical Imaging: Developing AI models for accurate disease diagnosis and fetal growth prediction.
  • AI Solutions: Designing end-to-end AI solutions, from data pipeline architecture to model deployment.

Publications: