Rajanikant Panda | Neurology | Best Researcher Award

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Dr. Rajanikant Panda | Neurology | Best Researcher Award

Postdoctoral researcher at University of California, San Francisco, United States

Rajanikant Panda is a Postdoctoral Research Fellow in Neurology at the University of California, San Francisco (UCSF). He specializes in computational neuroscience, focusing on consciousness. He earned his PhD from the University of LiĆØge, Belgium, and has published over 60 SCI-indexed journal articles, accumulating 1700+ citations with an H-index of 22. Rajanikant has extensive experience in multimodal neuroimaging and computational modeling, using tools like EEG, ECoG, fMRI, and PET to explore brain dynamics across various states of consciousness. He is passionate about applying AI and neuroimaging techniques to improve clinical outcomes for patients with neurological disorders.

Profile

Scholar

šŸŽ“ Education

PhD in Medical Science (2017-2022): University of LiĆØge, Belgium ā€“ Focused on computational and empirical modeling of altered states of consciousness. M.E. in Applied Electronics (2013-2015): Anna University, India ā€“ Conducted research on brain tumor functional network mapping. B.Tech in Biomedical Engineering (2006-2010): Biju Patnaik University of Technology, India ā€“ Thesis on EEG signal classification for epileptic seizure detection.

šŸ’¼ Experience

Postdoctoral Fellow, UCSF, USA (2023ā€“Present): Studying brain dynamics in acute comatose patients. Postdoctoral Fellow, University of LiĆØge, Belgium (2022-2023): Researched virtual reality hypnosis and chronic disorders of consciousness. Junior Scientific Officer, NIMHANS, India (2013-2017): Focused on brain connectivity in neurological patients using EEG-fMRI. Junior Research Fellow, NIMHANS, India (2011-2013): Developed simultaneous EEG-fMRI data acquisition protocols. Biomedical Engineer, Human Kariger Pvt. Ltd, India (2010-2011): Provided technical support for neurofeedback systems.

šŸ† Awards and Honors

F.R.S.-FNRS Aspirant Grant for PhD research at University of LiĆØge. DST Travel Grant to present research at an international conference, USA (2012). Guest Editor for journals like Brain Connectivity and Frontiers Psychology ā€“ Consciousness Research. Best Paper Awards at international conferences on neuroscience and consciousness.

šŸ”¬ Research Focus

Characterizing brain dynamics across consciousness spectrums (meditation, hypnosis, coma). Leveraging computational tools like brain connectivity, network theory, and information theory. Developing multimodal neuroimaging techniques (EEG, ECoG, fMRI, PET). Enhancing neurocritical care through AI-based diagnostics and therapeutic predictions. Investigating mechanisms underlying consciousness in disorders of consciousness and dying patients.

Conclusion

Dr. Panda’s unparalleled expertise, impactful contributions, and commitment to advancing neuroscience make him a deserving recipient of the Best Researcher Award. His work not only pushes the boundaries of scientific knowledge but also offers transformative clinical insights, underlining his significant impact on the field.

Publications šŸ“š

 

  • Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure detection
    • Year: 2010
    • Authors: R Panda, PS Khobragade, PD Jambhule, SN Jengthe, PR Pal, TK Gandhi

 

  • Preservation of brain activity in unresponsive patients identifies MCS star
    • Year: 2021
    • Authors: A Thibaut, R Panda, J Annen, LRD Sanz, L Naccache, C Martial, …

 

  • Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning
    • Year: 2022
    • Authors: M Lee, LRD Sanz, A Barra, A Wolff, JO Nieminen, M Boly, M Rosanova, …

 

  • Decreased integration of EEG source-space networks in disorders of consciousness
    • Year: 2019
    • Authors: J Rizkallah, J Annen, J Modolo, O Gosseries, P Benquet, S Mortaheb, …

 

  • Role of altered cerebello-thalamo-cortical network in the neurobiology of essential tremor
    • Year: 2017
    • Authors: A Lenka, KS Bhalsing, R Panda, K Jhunjhunwala, RM Naduthota, J Saini, …

 

  • Temporal dynamics of the default mode network characterize meditation-induced alterations in consciousness
    • Year: 2016
    • Authors: R Panda, RD Bharath, N Upadhyay, S Mangalore, S Chennu, SL Rao

 

  • Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
    • Year: 2021
    • Authors: A LĆ³pez-GonzĆ”lez, R Panda, A Ponce-Alvarez, G Zamora-LĆ³pez, …

 

  • Recovery of resting brain connectivity ensuing mild traumatic brain injury
    • Year: 2015
    • Authors: RD Bharath, A Munivenkatappa, S Gohel, R Panda, J Saini, J Rajeswaran, …

 

  • Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness
    • Year: 2021
    • Authors: Y Sanz Perl, C Pallavicini, I PĆ©rez IpiƱa, A Demertzi, V Bonhomme, …

 

  • Machine learning detects EEG microstate alterations in patients living with temporal lobe epilepsy
    • Year: 2018
    • Authors: SS Rajagopalan, S Bhardwaj, R Panda, VR Reddam, C Ganne, …

 

 

Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

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Ā Dr. Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

Dr. China Northern Vehicle Research Institute,Ā  China

šŸ‘©ā€šŸ”¬ Xinran Zhang, Ph.D., is an accomplished researcher in cognitive physiology and transportation engineering, with a strong focus on big data, artificial intelligence, and brain-computer interface. Currently serving as an Engineer at the Innovation Research Institute of China Ordnance Industry Group, he has a rich academic background from prestigious institutions such as the University of Pennsylvania and Beijing Jiaotong University. With extensive experience in project management and a track record of publications and patents, Zhang excels in machine learning, C++, Python, and statistical analysis methods. A dedicated professional, he is committed to advancing knowledge in his field through rigorous research and academic excellence.šŸŒŸ

Profile

 

Scholar

 

Ā Education BackgroundšŸŽ“

Joint Training in Cognitive Physiology University of Pennsylvania, USA Instructor: Prof. Michael L. Platt Doctoral Degree (Recommended)Supervisor: President/Professor Yan Xuedong Dalian Maritime University, China Transportation Research Directions: big data and artificial intelligence, brain-computer interface, human factors engineering Transportation Engineering Beijing Jiaotong University, China

Work ExperiencešŸ¢

  • Engineer
    • Innovation Research Institute, China Ordnance Industry Group Northern Vehicle Research Institute
    • June 2022 – Present

Research ExperiencešŸ§Ŗ

National Natural Science Foundation of China Project Driver’s eye movements and EEG under different intersection visual distances based on driving simulation experiments Invention Project Prediction devices of intersection conflicts based on driversā€™ EEG datasets (submitted), USA ProjectĀ  Manager National Natural Science Foundation of Chinaā€™s key international cooperation Research on the coupling mechanism of driving behavior and driving behavior (T17JB00210)Project Leader Basic Scientific Research Project of Central Universities of the Ministry of Education Risk identification and analysis of rear-end collision accidents based on driver cognition and vehicle control behavior National Key R&D Program of the Ministry of Science and Technology Quantitative index and evaluation method for describing mental fatigue by electroencephalogram (2023-China Ordnance Industry Group Project Source dynamic adaptation and emergency management technology

Foreign Language and Programming SkillsšŸŒšŸ’»

English proficiency: passed CET6; passed the Ministry of Educationā€™s study abroad personnel trainingProfessional skills: proficient in machine learning, C++, Python, Matlab, R language and other software and statistical analysis methods

Honors and AwardsšŸ…

2019 National Public Scholarship Funding2017 Urban Transportation Special Scholarship2018 National ScholarshipOutstanding Graduates of Beijing Jiaotong University in 20212018 Second Prize in Science and Technology (Natural Science) of China Simulation Society

Personal NotešŸ¤

  • Love scientific research, love academics, be down-to-earth and hardworking, and have perseverance.

Publications Top Notes šŸ“

  1. Title: How does intersection field of view influence driving safety in an emergent situation?
    • Authors: X Yan, X Zhang, Q Xue
    • Journal: Accident Analysis & Prevention
    • Volume: 119
    • Pages: 162-175
    • Year: 2018
    • Citations: 19

 

  1. Title: Changes in driversā€™ visual performance during the collision avoidance process as a function of different field of views at intersections
    • Authors: X Yan, X Zhang, Y Zhang, X Li, Z Yang
    • Journal: PLoS one
    • Volume: 11
    • Issue: 10
    • Article: e0164101
    • Year: 2016
    • Citations: 14

 

  1. Title: Exploring the effects of EEG signals on collision cases happening in the process of young driversā€™ braking
    • Authors: X Zhang, X Yan, J Stylli, ML Platt
    • Journal: Transportation Research Part F
    • Volume: 80
    • Pages: 381-398
    • Year: 2021
    • Citations: 10

 

  1. Title: Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform
    • Authors: X Zhang, X Yan
    • Journal: Accident Analysis & Prevention
    • Volume: 180
    • Article: 106910
    • Year: 2023
    • Citations: 6

 

  1. Title: Comparing the Differences of EEG Signals Based on Collision and Non-collision Cases
    • Authors: X Zhang, X Yan
    • Journal: Advances in Human Factors of Transportation: Proceedings of the AHFE 2019
    • Year: 2020