Prof. Dr. binli | Neuroscience | Best Researcher Award

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Prof. Dr. binli | Neuroscience | Best Researcher Award 🏆

Lecturer (University Professor) at yangzhou university,China🎓

The nominee, a PhD holder in Architecture since 2016, has demonstrated excellence in research, education, and practical applications in architecture and sustainability. His dual focus on comfort and accessibility, alongside nature-based solutions for climate resilience, addresses critical contemporary issues. His notable contributions, backed by research grants and real-world projects, underscore his commitment to advancing sustainable architecture.

 

Professional Profile 

🎓 Education

Bin Li earned his Ph.D. in Neuroscience from Nanjing Agricultural University, where his master’s thesis was recognized as an excellent thesis. His educational background laid a strong foundation for his expertise in neuroimmunology and endothelial cell research. 🎓🏆

🏢 Work Experience

As a university-appointed professor, Bin has made significant contributions to the field of Neuroscience. His work focuses on the mechanisms of mRNA methylation in endothelial cells and their role in recovery after ischemic stroke, enhancing our understanding of neurovascular repair processes. 🧠🏥

🧬 Skills

  • Bin possesses advanced research skills in molecular biology and neuroimmunology, with a strong capability in conducting complex experiments and data analysis. His ability to communicate complex scientific concepts effectively enhances his teaching and mentorship roles. 🧪📊

Awards and Honors 🏆

He has received numerous accolades, including the “Lv Yang Jin Feng” Outstanding Doctor award and recognition for an outstanding paper at the 19th National Academic Exchange Meeting on Neuropsychopharmacology in 2021. 🥇🎖️

Memberships📜 

Bin is an active member of professional organizations, including the Neuroimmunology Branch of the Jiangsu Society of Immunology and the Basic Veterinary Branch of the Jiangsu Animal Husbandry and Veterinary Association, which facilitate collaboration and knowledge exchange in his field. 🤝🌐

📚 Teaching Experience

In his role as a lecturer, Bin is dedicated to educating the next generation of scientists, fostering a stimulating learning environment, and guiding students through advanced concepts in Neuroscience and immunology. 📖👨‍🏫

🔬 Research Focus

His current research investigates glial cell-to-neuron and endothelial cell inter-communication during post-ischemic injury, aiming to uncover novel therapeutic strategies for brain recovery. With a total of 12 published papers and significant citations, his research is influential in the field. 🔍🧬

Conclusion 

In conclusion, Dr. Bin Li exemplifies the qualities of a leading researcher deserving of the Best Researcher Award. His innovative research, impressive publication record, and active engagement in the scientific community highlight his significant contributions to neuroscience. Addressing the areas for improvement could further amplify his impact, making him a valuable asset to both academia and society. Dr. Li’s commitment to advancing knowledge in neurovascular repair positions him as an outstanding candidate for this prestigious recognition.

📚 Publilcation 

  • EHR coding with hybrid attention and features propagation on disease knowledge graph
    • Year: 2024
    • Journal: Artificial Intelligence in Medicine
  • DAJLENet: A neural network based on dual attention and joint learning for explainable heart failure adverse event prediction
    • Year: 2024
    • Journal: Computers and Electrical Engineering
  • Application programming interface recommendation for smart contract using deep learning from augmented code representation
    • Year: 2024
    • Journal: Journal of Software: Evolution and Process
  • Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images
    • Year: 2024
    • Journal: Agronomy
  • Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning
    • Year: 2024
    • Journal: IEEE Transactions on Reliability
  • Normalization of kinship relations to enrich family network analysis: case study on China biographical database
    • Year: 2024
    • Journal: Digital Scholarship in the Humanities
  • Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction
    • Year: 2024
    • Journal: Journal of Systems and Software
  • Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization
    • Year: 2024
    • Journal: IEEE Transactions on Industrial Informatics
  • Automatic software vulnerability classification by extracting vulnerability triggers
    • Year: 2024
    • Journal: Journal of Software: Evolution and Process

 

 

Dr NISHI PATEL | Neuroscience | Best Researcher Award

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Dr NISHI PATEL | Neuroscience | Best Researcher Award   🏆

Research Scholar at Bhagwan Mahavir University, Surat , India🎓

Dr. Nishi Jayesh Patel is a dedicated research scholar at Bhagwan Mahavir University, specializing in the study of Parkinson’s Disease 🧠. With over four years of significant contributions in this field, she has become an expert in neurodegenerative disorders, particularly focusing on microbiology and probiotics. Dr. Patel has published research on the relationship between gut microflora and Parkinson’s, exploring innovative treatments such as in-vitro probiotic formulations. She is also a member of the Parkinson’s Foundation, continually striving to advance knowledge and treatment for the disease.

 

Professional Profile 

  • Google Scholar 

Education 🎓

Dr. Patel holds advanced degrees in microbiology and neurological sciences, fueling her passion for neurodegenerative disease research. Her academic excellence and thorough understanding of Parkinson’s Disease enable her to make meaningful strides in the field.

Work Experience 🏢

Apart from her research work, Dr. Patel is a seasoned subject matter expert and has contributed significantly to academic assessment by setting papers for national and international entrance exams. Her work in this area has helped shape the academic landscape and ensure high standards for future medical professionals.

Awards and Honors 🏆

While specific awards are not mentioned, Dr. Patel’s numerous professional contributions, including her membership in the Parkinson’s Foundation, speak to her dedication and excellence in the field of medical research.

Research Focus 🔍

Dr. Patel’s core research focuses on probiotics and their role in neurological disorders. She has identified six bacterial strains that are potential candidates for therapeutic use in Parkinson’s Disease, with promising results in balancing GABA collapse, improving drug bioavailability, and controlling disease progression. These isolates show potential in controlling mood, immunity, and digestion, positively influencing patients’ well-being.

 

 

Publications : 

  • Evaluating Probiotic Properties of Gut Microflora for Gut Modulation as an Adjuvant Therapy for Parkinson’s Disease
    Authors: NJ Patel, M Hajoori
    Journal: Journal of Future Foods
    Year: 2025
    Volume: 5
    Issue: 3
    Pages: 304-316
  • Isolation, Characterisation, and Screening of Gut Bacteria for Essential Probiotic Characteristics
    Authors: DPD Nishi Jayesh Patel, Dr. Murtaza Hajoori
    Journal: European Journal of Biomedical and Pharmaceutical Sciences
    Year: 2023
    Volume: 10
    Issue: 11
    Pages: 176-179
  • Comparative Formulation and Evaluation of Probiotic Products Utilizing Different Bacterial Strains: A Comprehensive Study
    Authors: DPD Nishi Jayesh Patel, Dr. Murtaza Hajoori
    Journal: Biological Forum – An International Journal
    Year: 2023
    Volume: 15
    Issue: 5
    Pages: 1747-1752
  • Psychobiotics: The Next Generation Adjuvant Therapy and Its Revolutionary Contribution in Treatment for Parkinson’s Disease
    Authors: DPD Nishi Jayesh Patel, Dr. Murtaza Hajoori
    Journal: Futuristic Trends in Medical Sciences
    Year: 2022
    Book: 21, Part 1
    Pages: 1-15
  • Bioremediation of Surfactants by Bacteria Isolated from Spume Used to Scavenge Surfactants Along with Dyes in Washing Textile Effluents
    Author: DRD Nishi Jayesh Patel
    Journal: JETIR Research Journal
    Year: 2020
    Volume: 7
    Issue: 6
    Pages: 1147-1153

 

Prof Dr Katsunori Nonogaki | Neuroscience | Best Researcher Award

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Prof Dr Katsunori Nonogaki | Neuroscience | Best Researcher Award 🏆

Division of Diabetes and Nutrition at RARiS, Tohoku University, Japan
🎓

Dr. Katsunori Nonogaki is a distinguished professor and clinical specialist in diabetes and internal medicine, holding extensive expertise in lifestyle medicine and diabetes research. He obtained his MD in Japan in 1987, followed by a PhD from Nagoya University Graduate School of Medicine in 1993. His postdoctoral training included positions at UCSF and The Scripps Research Institute, where he focused on metabolism and neuropharmacology. Dr. Nonogaki has held key academic roles at prestigious institutions, including the University of Tokyo and Tohoku University, where he has been a professor since 2008.

Professional Profile 

📚 Work Experience & Teaching

Dr. Nonogaki has a long-standing academic career, beginning as a lecturer at the University of Tokyo before joining Tohoku University in various professorial roles. His teaching experience spans undergraduate to postgraduate levels, where he mentors future leaders in diabetes research and metabolic health.

🎖️ Skills, Awards, and Honors

Dr. Nonogaki is highly skilled in molecular nutrition, metabolic diseases, and translational research. He has served as the Chief of the Laboratory of Molecular Nutrition and is recognized for his contributions to diabetes research, earning several awards in this domain. He has also made impactful contributions to scientific literature, serving on the editorial boards of key journals such as Frontiers in Endocrinology and Diabetes Research and Clinical Practice.

🌐 Memberships & Professional Involvement

His professional involvement extends to numerous editorial roles, including Topic Editor and Associate Editor in leading journals. Dr. Nonogaki is a highly regarded member of the international diabetes research community, where he actively contributes to advancements in metabolic health and diabetes management.

Research Focus

Xiaofeng’s research is centered on entrepreneurial behavior, project selection, and risk assessment. He has proposed a three-stage theory for project selection and developed a dynamic measurement model for entrepreneurial risks. His work has practical implications, particularly in the evaluation of risks in family farms and entrepreneurship education. His 65 published journal articles and various patents further underscore his contributions to the field.

 

Publications : 

“The GLP-1 Receptor Agonist Liraglutide Decreases Primary Bile Acids and Serotonin in the Colon Independently of Feeding in Mice”
Year: 2024
Journal: International Journal of Molecular Sciences

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

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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: