Síbila Floriano Landim | Cognitive Rehabilitation | Best Researcher Award

Dr Síbila Floriano Landim |  Cognitive Rehabilitation | Best Researcher Award 

Docente Pesquisador at Universidade de Talca, Brazil

 

Síbila Floriano Landim is an accomplished Occupational Therapist specializing in Hand Rehabilitation and Pain Management. She holds a Doctorate and a Master’s degree in Clinical Medicine with a focus on Rheumatology from the State University of Campinas (UNICAMP). Additionally, she earned a Bachelor’s degree in Occupational Therapy from the University of Vale do Paraíba (UNIVAP). Her extensive academic background includes specializations from UNICAMP and the Federal University of São Carlos (UFSCAR).Síbila has a robust teaching portfolio, having served as an instructor and tutor at UNICAMP, a professor at the University of Sorocaba, and currently as an Assistant Professor and Researcher at the University of Talca. Her research interests focus on systemic sclerosis, hand rehabilitation, and augmentative and alternative communication, with ongoing projects at both UNICAMP and the University of Talca. She is fluent in English and Spanish, in addition to her native Portuguese.

professional profile:

Education 🎓

The individual has pursued extensive higher education, specializing in Occupational Therapy and Clinical Medicine. They completed a specialization in Occupational Therapy with a focus on Hand Rehabilitation, earning the title of Hand Therapist from the State University of Campinas (UNICAMP) in Campinas, Brazil. This program spanned from February 2010 to February 2011 and encompassed 3,592 hours of study. Additionally, they pursued an Interdisciplinary Specialization Course in Pain at the Federal University of São Carlos (UFSCAR), earning the title of Pain Specialist. This course lasted from February 2020 to April 2022, with a duration of 2,392 hours. The individual also holds advanced academic degrees in Clinical Medicine with a specialization in Rheumatology. They completed their Doctorate in Clinical Medicine (CAPES 5) at the State University of Campinas (UNICAMP) in Campinas, Brazil, from February 2017 to September 2021. Prior to this, they obtained a Master’s degree in Clinical Medicine (CAPES 5), also specializing in Rheumatology, from UNICAMP, which they pursued from February 2015 to February 2017. Their academic journey began with a Bachelor’s degree in Occupational Therapy with a generalist specialization from the University of Vale do Paraíba (UNIVAP) in São José dos Campos, Brazil, completed between February 2007 and February 2011.

Teaching Experience 💼

You have extensive teaching experience in the field of Occupational Therapy across various institutions. At UNICAMP, you served as a tutor in Rehabilitation and Public Health practices in 2015 and later in practices related to Augmentative and Alternative Communication in 2017. Additionally, you were an instructor in the Occupational Therapy Specialization Course in Hand Rehabilitation from 2011 to 2017. From 2017 to 2020, you worked as an undergraduate professor at the University of Sorocaba, where you taught Occupational Therapy. Moving forward, you were responsible for delivering both theoretical and practical classes in Occupational Therapy at the Catholic University of Temuco from 2021 to 2023. Currently, you hold the position of Assistant Professor and Researcher in Occupational Therapy at the University of Talca, where you have been contributing since 2022.

research experience🧠

During my research tenure, I have been involved in several significant projects across various institutions. From 2015 to 2017, I served as a researcher at UNICAMP, where I contributed to a project focused on developing guidelines and exercises for systemic sclerosis. My work continued at UNICAMP from 2017 onward, where I have been a researcher in a controlled study on the application of guidelines and exercises specifically designed for the hands in Systemic Sclerosis. Additionally, from 2017 to 2018, I supervised a project at the University of Sorocaba titled “Giving Voice through C.S.A: Occupational Therapy Intervention Experience,” which explored the impact of occupational therapy interventions. Currently, I am an Assistant Researcher at the University of Talca, where I am involved in the application process for the Fondef Idea grant, starting in 2023.

 

Conclusion

Síbila Floriano Landim’s academic background, teaching experience, and extensive research contributions make her a highly suitable candidate for the Best Researcher Award. Her work has significantly impacted the fields of occupational therapy and clinical medicine, particularly in the areas of systemic sclerosis and pain management. Síbila’s dedication to advancing knowledge, combined with her strong publication record and active participation in academic conferences, underscore her qualifications for this prestigious recognition.

publication:

K S V POORNA CHANDRIKA | Cognitive Development| Best Researcher Award

Dr. K S V POORNA CHANDRIKA | Cognitive Development| Best Researcher Award

Dr.K S V POORNA CHANDRIKA,ICAR-Indian Institute of Oilseeds Research, Tiruchirappalli,India

Dr. K S V Poorna Chandrika is a prominent scientist affiliated with the ICAR-Indian Institute of Oilseeds Research in Tiruchirappalli, India. Her research primarily focuses on various aspects of oilseed crops, including breeding, genetics, and sustainable agricultural practices. Dr. Poorna Chandrika has made significant contributions to the field through her extensive research and publications, aiming to enhance crop productivity and resilience in challenging agricultural environments. Her work is highly regarded within the scientific community for its practical implications in improving food security and agricultural sustainability.

Professional Profile:

Area of Expertise:

  • Synthesis and characterization of hydrophilic superabsorbent and superporous hydrogels
  • Development of polymeric films as carriers for crop protection inputs
  • Formulation of microbial bioagents and chemicals for seed health and nutrient management
  • Instrumentation expertise: GLC, HPLC, UV spectroscopy, NMR, Electron microscopy, FT-IR, HPTLC, GC, XRD, AAS, DLS, rheometer, ICP, DSC etc.

Contribution to Scientific Advancement:

  • Developed potential polymeric films for management of biotic and abiotic stresses in various pulses and oilseeds
  • Field evaluation of innovative formulations for sustainable agriculture

Awards and Recognition:

    • Best Paper Award at IIOR-2019 for “Development of chitosan-PEG blended films using Trichoderma: Enhancement of antimicrobial activity and seed quality”
    • Best Oral Presentation Award at International Bio Pesticide Conference-2019

Area of Research:

    • Currently researching polymers as formulation carriers and nanosystems for various delivery mechanisms

Publications: 

  • Hydrogels and Superabsorbent Materials: Chandrika KSVP has contributed significantly to research on novel hydrogels, particularly those based on guar gum and poly(acrylate). These hydrogels are characterized for their superabsorbent properties and their behavior in different environments, including simulated environments and plant growth media.
  • Biopesticides and Agricultural Applications: Chandrika KSVP has also explored nanobiopesticides and biopolymeric formulations for agricultural applications. This includes the development of Bacillus thuringiensis-based nanopesticides and other bioformulations for pest management and crop protection.
  • Biopolymer Blends and Coatings: Research extends to the development of biopolymer blends, such as chitosan-PEG films and chitosan-based seed coatings. These innovations aim to enhance antimicrobial activity, seed quality, and stress tolerance in crops against biotic and abiotic factors.
  • Nanotechnology in Agriculture: Chandrika KSVP has contributed to studies involving metal nanoparticles as plant nutrients and their applications through soil application. This includes research on Fe and Zn metal nanocitrates.
  • Patents and Innovations: There are mentions of patents related to polymer compositions and their preparation, indicating a focus on translating research into practical applications and intellectual property.

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

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: