Dr. Menghuan Wang | Cognitive Rehabilitation | Young Scientist Award

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Dr. Menghuan Wang | Cognitive Rehabilitation | Young Scientist Award šŸ†

Ph.D at Nanjing Normal University ,ChinašŸŽ“

šŸ‘Øā€šŸ”¬ Menghuan Wang is a dedicated PhD candidate in the field of neurorehabilitation at Nanjing Normal University, with previous academic affiliations at Nanjing Medical University. His research is centered on enhancing cognitive and motor function through non-invasive brain stimulation and innovative therapies. Wang has focused on impactful treatments for aphasia and stroke patients, as well as those undergoing maintenance hemodialysis.

 

Professional ProfileĀ 

Education šŸŽ“:

šŸŽ“ PhD Candidate, Nanjing Normal University ā€“ Specializing in neurorehabilitation, Wangā€™s academic training includes expertise in functional near-infrared spectroscopy (fNIRS) and advanced brain stimulation methods such as transcranial magnetic stimulation (TMS) and transcutaneous auricular vagus nerve stimulation (taVNS).

Work Experience šŸ’¼:

šŸ’¼ Research and Innovation ā€“ Wang has led and collaborated on significant research projects aimed at improving patient-centered neurorehabilitation, with 15 research publications in both English and Chinese journals. His work has influenced approaches to cognitive function restoration and non-invasive therapeutic techniques.

Skills šŸ”

  • Neurorehabilitation Techniques: Proficient in fNIRS, TMS, tES, and taVNS.
  • Patient-Centered Research: Developing therapies for patients with cognitive impairment and motor challenges, focusing on post-stroke recovery and cognitive decline prevention in dialysis patients.
  • Cognitive and Motor Function Restoration: Employing non-invasive brain stimulation to achieve measurable rehabilitation outcomes.

Awards and Honors šŸ†

šŸ† Award Nominee ā€“ Menghuan Wang is nominated for the Young Scientist Award and Best Researcher Award, recognizing his substantial contributions to cognitive science and neurorehabilitation. His work has garnered citations and recognition, particularly within Chinese and international scientific communities.

šŸ¤ Memberships:

šŸ¤ Professional Affiliations

  • Member, Branch of Cognitive Neurobiology, Chinese Neuroscience Society
  • Member, Chinese Association of Rehabilitation Medicine
    These memberships underscore Wangā€™s active engagement with prominent cognitive and rehabilitation networks.

Teaching Experience šŸ‘©ā€šŸ«:

Mentorship and Knowledge Sharing ā€“ As an advanced researcher, Wang frequently collaborates with peers, guiding team-based research projects and contributing to knowledge-building within his field.

Research Focus šŸ”¬:

Wangā€™s research focuses on cognitive neuroscience, neurolinguistics, and neuromodulation, with a particular emphasis on neurorehabilitation. His pioneering studies on taVNS for hemodialysis patients have shown promise in preventing cognitive impairment, offering new paths in non-invasive brain treatments.

ConclusionĀ 

Menghuan Wangā€™s research contributions make him a compelling candidate for the Young Scientist Award. His innovative use of non-invasive neuromodulation techniques in neurorehabilitation reflects both academic rigor and a commitment to patient-centered care. With a growing publication record and substantial clinical relevance, Wang shows strong potential to advance the field of cognitive neuroscience. Further expanding his collaborative and leadership roles could strengthen his profile even further, but his current accomplishments already showcase a high level of scientific achievement and innovation that aligns well with the spirit of the Young Scientist Award.

šŸ“š PublilcationĀ 

  • Transcutaneous Auricular Vagus Nerve Stimulation Combined with Task-Oriented Training to Improve Upper Extremity Function in Post-Stroke Hemiplegia
    • Year: 2024
    • Journal: Chinese Journal of Rehabilitation Medicine (Vol. 39, Issue 6, pp. 782ā€“790)
    • Authors: Wang, M., Kong, Y., Xie, M.
  • ZNF217-Activated Notch Signaling Mediates Sulforaphane-Suppressed Stem Cell Properties in Colorectal Cancer
    • Year: 2024
    • Journal: Journal of Nutritional Biochemistry (Vol. 125, Article 109551)
    • Authors: Wang, M., Tang, L., Chen, S., Li, Y., Chen, Y.
  • Transcutaneous Auricular Vagus Nerve Stimulation Improves Cognitive Decline by Alleviating Intradialytic Cerebral Hypoxia in Hemodialysis Patients: A fNIRS Pilot Study
    • Year: 2024
    • Journal: Heliyon (Article e39841)
    • Authors: Wang, M.-H., Jin, Y.-J., He, M.-F., Li, W.-W., Jiang, Z.-L.
  • Transcutaneous Auricular Vagus Nerve Stimulation with Task-Oriented Training Improves Upper Extremity Function in Patients with Subacute Stroke: A Randomized Clinical Trial
    • Year: 2024
    • Journal: Frontiers in Neuroscience (Vol. 18, Article 1346634)
    • Authors: Wang, M.-H., Wang, Y.-X., Xie, M., Lin, F., Jiang, Z.-L.
  • Diallyl Trisulfide Inhibits Gastric Cancer Stem Cell Properties Through Ī”Np63/Sonic Hedgehog Pathway
    • Year: 2023
    • Journal: Molecular Carcinogenesis (Vol. 62, Issue 11, pp. 1673ā€“1685)
    • Authors: Ge, M., Zhu, J., Yi, K., Jiang, Z., Han, H.
  • Transcranial Direct Current Stimulation Improves the Attention and Executive Function in Patients with Maintenance Hemodialysis
    • Year: 2023
    • Journal: Chinese Journal of Rehabilitation Medicine (Vol. 38, Issue 9, pp. 1221ā€“1226)
    • Authors: Chen, L., Wang, M., Li, W.
  • TEADs Serve as Potential Prognostic Biomarkers and Targets for Human Gastric Cancer
    • Year: 2022
    • Journal: BMC Gastroenterology (Vol. 22, Issue 1, Article 308)
    • Authors: Wang, M.-H., Li, B.-Z., Chen, Y., Wang, J.
  • Ī”Np63Ī± Mediates Sulforaphane-Suppressed Colorectal Cancer Stem Cell Properties Through Transcriptional Regulation of Nanog/Oct4/Sox2
    • Year: 2022
    • Journal: Journal of Nutritional Biochemistry (Vol. 107, Article 109067)
    • Authors: Chen, Y., Wang, M.-H., Wu, J.-Y., Han, H.-Y., Zhong, C.-Y.
  • TAp63Ī± Targeting of Lgr5 Mediates Colorectal Cancer Stem Cell Properties and Sulforaphane Inhibition
    • Year: 2020
    • Journal: Oncogenesis (Vol. 9, Issue 10, Article 89)
    • Authors: Chen, Y., Wang, M.-H., Zhu, J.-Y., Han, H.-Y., Zhong, C.-Y.

Prof. Wangdo Kim | Perception | Interdisciplinary Innovation Prize

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Prof. Wangdo Kim | Perception | Interdisciplinary Innovation PrizešŸ†


Professor in Biomechanics at Ā Universidad de Ingenieria y Tecnologiaā€”UTEC, PeruĀ šŸŽ“

šŸ‘Øā€šŸ« Wangdo Kim is a professor of Mechanical Engineering at Universidad de IngenierĆ­a y TecnologĆ­a (UTEC) in Lima, Peru, with a distinguished career spanning continents and fields. He has been a pivotal contributor to the study of biomechanics, with research experience across institutions like the Technical University of Lisbon and Portland State University. A seasoned author in biomechanics, he has a broad spectrum of published works and currently resides in Lima, Peru, with his wife of 37 years, Miwon Chung.

Professional ProfileĀ 

šŸŽ“ Education

Wangdo Kim completed his undergraduate education with a Bachelor of Science in Mechanical Engineering from Seoul National University in January 1979. His passion for advancing in the field led him to Lehigh University, where he earned a Masterā€™s degree in October 1986, followed by a Ph.D. in Mechanical Engineering in June 1991. Kimā€™s academic journey continued with a postdoctoral fellowship in Orthopaedic Biomechanics at Lehigh in July 1992, where he further honed his expertise in biomechanics, setting a foundation for his extensive career in research and academia.

šŸ¢ Work Experience

Wangdo Kim’s career includes a broad range of roles, from production management at Daewoo Heavy Industries and software engineering at Fujitsu Korea to leadership in CAD/CAM at Samsung Aerospace. His academic roles range from associate professor at Nanyang Technological University in Singapore to his current position as a professor of biomechanics at UTEC. He has also held notable research positions at the Technical University of Lisbon and Portland State University.

 

šŸ§¬ Skills

  • Biomechanics & Motion Tracking: Expertise in virtual reality (VR) applications and real-time kinematics
  • CAD/CAM Management: Led concurrent engineering projects to streamline design and production processes
  • Project Management: Managed multi-million-dollar projects at Samsung, improving product development cycles and market competitiveness
  • Software Development: Extensive experience with CAD/CAM software and systems engineering for complex manufacturing

Awards and Honors šŸ†

Kim’s achievements are marked by prestigious recognitions, including first place in the biomedical product competition at Nanyang Technological University, a Paper Award from Physiological Measurement, and recognition by BioMedLib as a top article author. In 2015, he was named an Outstanding Reviewer for Elsevier’s The Knee journal.

šŸŒ Memberships

Wangdo Kim is a member of editorial boards for journals like Advances in Biomechanics and Applications and Biomed Communication. He actively participates in conferences, including roles on organizing committees for the International Conference on Perception and Action and ISBS 2011.

šŸ“š Teaching Experience

With over two decades of academic experience, Kim has taught at esteemed institutions such as Nanyang Technological University, Seoul National University, and currently UTEC in Lima, Peru. His teaching integrates practical biomechanics with cutting-edge research, preparing students for advancements in engineering and technology.

 

 

šŸ”¬ Research Focus

Kimā€™s research centers on biomechanics and VR motion tracking using IMU sensors, with a particular focus on applications in neurorehabilitation and gaming. His work also involves developing algorithms for disease detection through motion tracking, integrating technologies like OpenSenseRT with Python-based Vizard for enhanced data streaming in virtual environments.

ConclusionĀ 

Dr. Wangdo Kimā€™s interdisciplinary expertise, coupled with his forward-thinking research in biomechanics and VR technology, makes him a suitable and competitive candidate for the Interdisciplinary Innovation Prize. His pioneering efforts to integrate biomechanics with VR motion tracking for neurorehabilitation demonstrate a unique and innovative approach that aligns with the Prizeā€™s focus on cross-disciplinary advancements. With enhancements to his recent publication record and collaborations in clinical settings, Dr. Kim is well-positioned to further his impact in the interdisciplinary research community, making him a strong contender for this prestigious award.

šŸ“š PublilcationĀ 

 

 

Anandan Sambandam | Cognitive Development | Best Researcher Award

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Prof. Anandan Sambandam | Cognitive Development | Best Researcher AwardĀ 

Anandan Sambandam,National Institute of Technology, Tiruchirappalli,India

 

Anandan Sambandam is a noted academic and researcher affiliated with the National Institute of Technology (NIT) in Tiruchirappalli, India. He holds expertise in [insert area of expertise, e.g., Computer Science, Electrical Engineering] and has made significant contributions to [mention any notable contributions or achievements, e.g., research in renewable energy, development of new algorithms, etc.]. His work is recognized for [mention any awards or recognitions if applicable]. Anandan Sambandam continues to be an influential figure in his field, shaping both academic research and practical applications

Professional Profile:

Education:

  • B.Sc. Chemistry: University of Madras, India (1993)
  • M.Sc. Chemistry: University of Madras, India (1995)
  • Ph.D. Chemistry-Energy Interdisciplinary: University of Madras, India (2002)
  • FTnASc (Fellow of Tamil Nadu Academy of Science): 2010

Academic Positions:

  • Current: Professor in the Department of Chemistry at the National Institute of Technology, Trichy, since March 2018.
  • Previous: Held various academic positions including Head of Department and Associate Professor at the same institute from 2006 onwards.

Research Focus Areas:

  • Nanomaterials
  • Sonochemistry
  • Photocatalysis
  • Dye-sensitized solar cells
  • Perovskite solar cells
  • Organic solar cells
  • Electrochemical and fluorescence sensors

Awards and Recognitions:

Dr. Anandan has received numerous awards and fellowships, highlighting his contributions and achievements:

  • Department of Science & Technology (India) SERC Fast Track Young Scientist Award (2005)
  • Hiyoshi Young Leaf Award (2009)
  • Dr. APJ Abdul Kalam Award (2016)
  • Best Performers Awards from National Institute of Technology (multiple years from 2017 to 2024)

Publications:Ā 

  1. Material: Co3O4-CoO@Co electrocatalysts.
    • These are cobalt-based compounds likely used for catalyzing the hydrogen evolution reaction (HER).
  2. Properties:
    • Nonprecious: Indicates these catalysts are cost-effective compared to precious metal alternatives.
    • Shape-controlled: The morphology of the catalysts is intentionally engineered for enhanced performance.
    • Defect-rich: Catalysts with defects can often exhibit higher catalytic activity.
    • Spin-state altering properties: This suggests the ability to modify electron spin states, which can impact catalytic efficiency.
  3. Application:
    • Accelerating HER: Enhancing the rate of hydrogen production, crucial for various energy applications.
    • Large current densities: Ability to sustain high current outputs, relevant for industrial-scale electrolysis.
    • Wide pH range: Functionality across different acidity levels, making them versatile for various environmental conditions.

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

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Mr Amit Chougule | Cognitive Neuroscience | Best Researcher Award

 

Researcher atĀ Manentia AI, India

 

 

šŸ“š 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 Universityā€™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. šŸš€šŸ¤–šŸ“Š

Professional Profile:

 

šŸŽ“ 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

šŸ’¼ 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.

šŸ”§ 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

šŸ† 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

šŸ”¬ 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:Ā