Hristina Čolović | Neuroscience | Robotics Integration Award

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Prof. Dr. Hristina Čolović | Neuroscience | Robotics Integration Award

spec.Physical Medicine and Rehabilitation at University of Nis, Faculty of Medicine, Serbia 2 Physical Medicine and Rehabilitation Clinic, Clinical Center of Nis, Serbia, Serbia🎓

Dr. Hristina Čolović is an accomplished Physiatrist specializing in physical medicine and rehabilitation, with a particular focus on pediatric rehabilitation and the use of botulinum toxin in treating spasticity in children with cerebral palsy. With a robust academic background, including a PhD in Physical Medicine and Rehabilitation, she has made significant contributions to the field, especially in robotic neurorehabilitation after pediatric stroke. She is actively involved in clinical practice, research, and teaching, and has a record of publications in notable scientific journals.

 

Profile 

Scopus

Education 🎓:

Dr. Hristina Čolović completed her undergraduate studies at the Faculty of Medicine, University of Nis, Serbia, in 1992, with a distinguished average grade of 9.06. She pursued specialization in Physical Medicine and Rehabilitation at the same institution, receiving excellent grades (5/5) in 1998. Dr. Čolović furthered her expertise with a subspecialization in Pediatric Rehabilitation from the Faculty of Medicine, University of Belgrade, in 2007, earning another top grade. She completed her Ph.D. in 2012, focusing on the effects of Botulinum toxin type A in the habilitation of children with cerebral palsy. Her academic foundation and continuing education have provided a solid basis for her leadership in both clinical practice and research. Dr. Čolović’s ongoing commitment to academic development is reflected in her teaching roles, where she lectures on physical medicine, pediatric rehabilitation, and neurorehabilitation at the University of Nis and other institutions.

Work Experience 💼:

Dr. Hristina Čolović has an extensive career in physical medicine and rehabilitation, spanning over 25 years. She has been a full-time faculty member at the Clinic for Physical Medicine, Rehabilitation, and Prosthetics in Nis, Serbia, since 1995. Starting in 2008, she pioneered the use of botulinum toxin type A in treating children with cerebral palsy, a therapy she has continued to develop and refine. In addition to her clinical practice, Dr. Čolović has served as a professor at the Faculty of Medicine, University of Nis, specializing in physical medicine and rehabilitation, where she trains future healthcare professionals. She has also been a lecturer in pediatric rehabilitation at the College of Health Sciences in Ćupria, Serbia. Dr. Čolović’s career also includes significant involvement in continuing medical education, where she has lectured on topics such as botulinum toxin application and rehabilitation of foot deformities in children.

Awards and Honors🏆

Dr. Hristina Čolović has received numerous awards and honors throughout her distinguished career. She has been recognized for her excellence in both clinical practice and research in the field of physical medicine and rehabilitation. Her contributions to the treatment of children with cerebral palsy using botulinum toxin type A have been particularly noteworthy. In addition to her clinical work, she has earned accolades for her leadership in education and continuous medical training. Dr. Čolović’s research and teaching have been instrumental in advancing pediatric rehabilitation in Serbia and beyond. She has been honored by various medical institutions, including the Serbian Medical Society and the Serbian Medical Chamber. Her role as an invited speaker and lecturer at numerous national and international conferences further highlights her esteemed standing within the medical community. Dr. Čolović’s continued dedication to improving healthcare outcomes, particularly for children with physical disabilities, makes her a respected figure in the field.

Research Focus 🔬:

Dr. Hristina Čolović’s research focuses primarily on pediatric rehabilitation, with a particular emphasis on cerebral palsy and musculoskeletal disorders in children. Her pioneering work on the use of botulinum toxin type A for managing spasticity in children with cerebral palsy has had a significant impact on the field, improving functional outcomes for these children. She is also interested in exploring rehabilitation strategies for other pediatric conditions, such as congenital foot deformities and hip dysplasia. Dr. Čolović’s work involves both clinical applications and functional assessments, aiming to enhance the overall quality of life for children with physical disabilities. Her research contributions include studies on motor activity in premature infants and the effects of rehabilitation interventions on neurological outcomes. Through her research, Dr. Čolović seeks to bridge the gap between innovative treatments and their practical applications in improving the health and mobility of pediatric patients, particularly those with spasticity and developmental disabilities.

📚 Publications

    • A Review of Current Perspectives on Motoric Insufficiency Rehabilitation following Pediatric Stroke
      Authors: Čolović, H., Zlatanović, D., Zivković, V., Jovanović, K., Nikolić, D.
      Citations: 0
      Year: 2024
    • Can pre-treatment dysfunctional voiding and incontinence scoring system score predict treatment outcome in children with dysfunctional voiding – a randomized trial
      Authors: Živković, V.D., Čolović, H., Zlatanović, D., Vlajković, M.
      Citations: 0
      Year: 2023
    • The importance of assessing general motor activity in premature infants for predicting neurological outcomes
      Authors: Zlatanović, D., Čolović, H., Živković, V., Vučić, J., Tošić, T.
      Citations: 1
      Year: 2022
    • Factors associated with poor self-reported function and quality of life in patients with end-stage knee or hip osteoarthritis immediately prior to total joint arthroplasty
      Authors: Kocić, M., Milenković, M., Nikolić, D., Čolović, H., Stojanović, Z.
      Citations: 4
      Year: 2021
    • Endometrial immunocompetent cells in proliferative and secretory phase of normal menstrual cycle
      Authors: Janoševic, D.R., Janoševic, D.R., Trandafilović, M., Dinic, S.P.-T., Dinic, S.P.-T.
      Citations: 12
      Year: 2020
    • Upper limb robotic neurorehabilitation after pediatric stroke
      Authors: Čolović, H., Dimitrijević, L., Đurić, V., Janković, S.
      Citations: 3
      Year: 2020
    • Botulinum toxin type A for spastic cerebral palsy: Is it time to change praxis?
      Authors: Čolović, H., Dimitrijevic, L., Stanković, I., Radović-Janošević, D., Zlatanović, D.
      Citations: 1
      Year: 2020
    • The Role of Early Habilitation in Infants with Congenital Brachial Palsy
      Authors: Živković, V.D., Stanković, I., Dimitrijević, L., Spalević, M., Savić, N.
      Citations: 1
      Year: 2018
    • The effect of physical therapy in the treatment of patients with cervical dystonia with or without concomitant use of botulinum toxin
      Authors: Stanković, I., Čolović, H., Živković, V., Živković, D., Stanković, T.
      Citations: 2
      Year: 2018
    • Chemoinformatic investigation of antibiotic antagonism: The interference of thymus glabrescens essential oil components with the action of streptomycin
      Authors: Ilić, B.S., Miladinović, D.L., Kocić, B.D., Čolović, H., Nikolić, D.M.
      Citations: 3
      Year: 2017

 

Conclusion 

Dr. Hristina Čolović’s profile indicates strong potential for the Robotics Integration Award. Her expertise in physical medicine and rehabilitation, combined with her research into robotic neurorehabilitation, makes her an excellent candidate for recognition. With further development in broader robotics applications and enhanced collaboration with engineers, Dr. Čolović could lead the way in advancing robotic integration into rehabilitation practices, positively impacting patient care across various domains.

 

 

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: