Rajanikant Panda | Neurology | Best Researcher Award

Posted on by ScienceFather

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 Liège, 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

🎓 Education

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

💼 Experience

Postdoctoral Fellow, UCSF, USA (2023–Present): Studying brain dynamics in acute comatose patients. Postdoctoral Fellow, University of Liège, 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.

🏆 Awards and Honors

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

🔬 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 📚

 

  • 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 López-González, R Panda, A Ponce-Alvarez, G Zamora-López, …

 

  • 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 Pérez Ipiña, 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, …

 

 

fahimeh nasimi | biomedical signal processing | Best Researcher Award

Posted on by ScienceFather

Dr. fahimeh nasimi | biomedical signal processing | Best Researcher Award

A proactive and innovative researcher with expertise in deep learning and machine learning applications, specializing in cardiac arrhythmia detection algorithms. With a Ph.D. in Computer Engineering and extensive experience as an Assistant Professor at the University of Isfahan-Khansar Campus, I excel in strategic problem-solving and decision-making. Known for maintaining composure under pressure and fostering collaborative environments, I am committed to advancing knowledge through hands-on research and effective team leadership. My career highlights include significant contributions to wireless body area networks and a strong record of academic excellence, including top rankings during both my B.Sc. and M.Sc. studies at Isfahan University.

Profile

  1. Scopus

 

  1. Orcid

📈Core Qualifications

Proactive Researcher: Extensive experience in conducting independent research with a proactive approach.. Strategic and Creative Thinking: Strong problem-solving skills, capable of developing innovative strategies by thinking outside the box. Decision Making: Skilled in making informed decisions and taking responsibility for outcomes. Even Temperament: Ability to maintain composure and handle situations calmly, regardless of challenges. Learning by Doing: A continuous learner who thrives on hands-on experience and practical learning. Collaboration & Team Building: Proficient in fostering collaborative environments and building effective teams.

Technical Skills

Programming Languages: C, C++, MATLAB, Python, Advanced Skills: Deep Learning, Machine Learning, Software Proficiency: ICDL, Cisco Packet Tracer, Linux (Ubuntu)

💼Professional Experience

Assistant Professor, University of Isfahan-Khansar Campus. Since September 2023 University Lecturer (Part-time) University of Isfahan January 2021 – 2023. Visiting Researcher University of South Australia September 2017 – March 2018 Research Assistant University of Isfahan 2014 – 2023

🎓Education

  • Postdoc Researcher, Department of Biomedical Engineering
    • Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2020 – 2023
  • Ph.D. in Computer Engineering
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2014 – 2020
    • Thesis: Improving Intra-nodes Communication Power Consumption in Wireless Body Area Networks
  • Master in Computer Engineering – Computer Systems Architecture
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2011 – 2013
  • Bachelor in Computer Engineering – Computer Hardware
    • Department of Computer Engineering, Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2005 – 2009

🏫Employment History

  • Assistant Professor
    • University of Isfahan-Khansar Campus
    • September 2023 – Present

🔬Research Focus

My research interests primarily focus on designing novel algorithms using deep learning techniques for the detection of cardiac arrhythmias. This interest was sparked during my postdoctoral research and continues to evolve in my current role, where I am dedicated to addressing challenges associated with identifying similar types of arrhythmias.

🏆 Awards and Honors 

Ranked 3rd, B.Sc. students, Isfahan University, 2009. Ranked 2nd, M.Sc. students, Isfahan University, 2014

Publications Top Notes 📝

  • Title: Green Communication in wireless network
    • Authors: Ehdieh Khaledian, Fahimeh Nasimi, Naser Movahedinia
    • Conference: ETEC (Emerging Trends in Energy Conservation), 2013

 

  • Title: A survey on energy consumption reduction techniques in WBAN
    • Authors: Fahimeh Nasimi, Naser Movahedinia, Mohammad Reza Khayyambashi
    • Conference: CITCONF, 2017

 

  • Title: Exploiting Similar Prior Knowledge for Compressing ECG Signals
    • Authors: Fahimeh Nasimi, Naser Movahhedinia, Mohammad Reza Khayyambashi, Yee Wei Law
    • Journal: Biomedical Signal Processing and Control (Elsevier), 2020
    • Year: 2020

 

  • Title: Redundancy cancellation of compressed measurements by QRS complex alignment
    • Authors: Nasimi Fahimeh, Mohammad Reza Khayyambashi, Naser Movahhedinia
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0262219

 

  • Title: LDIAED: A lightweight deep learning algorithm implementable on automated external defibrillators
    • Authors: Nasimi Fahimeh, Mohammadreza Yazdchi
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0264405

 

  • Title: A novel spatio-temporal convolutional neural framework for multimodal emotion recognition
    • Authors: Sharafi Masoumeh, Mohammadreza Yazdchi, Reza Rasti, Fahimeh Nasimi
    • Journal: Biomedical Signal Processing and Control
    • Volume: 78
    • Year: 2022
    • Pages: 103970