Jyoti Parkash | Alzheimer’s disease | Best Researcher Award

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Dr Jyoti Parkash :Ā  Alzheimer’s disease | Best Researcher Award

Assistant Professor at Central University of Punjab,Ā  India

Dr. Jyoti Parkash is an accomplished Assistant Professor in the Department of Zoology at the Central University of Punjab, Ghudda, India šŸŒ. He earned his Ph.D. in Biotechnology (Neurosciences) from Guru Nanak Dev University, Amritsar, in 2008, with a focus on “Neuronal Plasticity in Adult Brain” šŸ§ . His research delved into molecular markers of synaptic remodeling in hypothalamic GnRH-astroglial cells. Prior to his current position, he served as an Assistant Professor at the Department of Biotechnology, DAV University, Jalandhar, and gained valuable experience as a Postdoctoral Fellow/Research Scientist at the Jean-Pierre Aubert Research Center, INSERM U837, Lille, France šŸ‡«šŸ‡· (2008-2014). Dr. Parkash’s commitment to advancing knowledge in neurobiology is evident through his contributions in academia and research.

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Education

Dr. Jyoti Parkash is a distinguished scholar with a rich academic background. He earned his Ph.D. in Biotechnology (Neurosciences) from Guru Nanak Dev University, Amritsar, India, in 2008. His doctoral research delved into “Neuronal Plasticity in Adult Brain,” focusing on the study of molecular markers of synaptic remodeling in hypothalamic GnRH-astroglial cells šŸ§ . Prior to this, he completed his M.Sc. in Zoology at Guru Nanak Dev University in 2002, showcasing his dedication to the biological sciences. His educational journey commenced with a B.Sc. in Medical Sciences from H.P University, Shimla, India, during the period of 1997-2000 šŸ„. Dr. Parkash’s diverse educational background reflects his passion for exploring the intricacies of life sciences and neuroscience.

Experience

Dr. Jyoti Parkash , an accomplished scientist, currently serves as an Assistant Professor in the Department of Zoology at the Central University of Punjab, Bathinda, since 2015. With a profound commitment to education and research, Dr. Jyoti Parkash previously held a similar role at the Department of Biotechnology, DAV University, Jalandhar, from 2014 to 2015.

Prior to his academic roles, Dr. Jyoti Parkash embarked on an enlightening journey as a Postdoctoral Fellow/Research Scientist at the Jean-Pierre Aubert Research Center, INSERM U837, Lille, France, spanning from 2008 to 2014. His research contributions have significantly advanced the understanding of Alzheimer’s disease, showcasing his dedication to unraveling the mysteries of the natural world.

šŸŽ“ Driven by a passion for discovery and an unwavering commitment to scientific excellence, Dr. Jyoti Parkash continues to inspire and mentor the next generation of researchers while making impactful contributions to the field of Alzheimer’s disease.

Awards

Dr. Jyoti Parkash stands as a decorated researcher, recognized for his outstanding contributions:

In 2016-17 and 2017-18, he was honored with the Research Award from the Central University of Punjab for publications with remarkable impact factors, exceeding 10 and 15, respectively šŸ†šŸ“Š. These accolades underscore his commitment to impactful research within the academic community.

In 2006, he received a Travel Award for his participation in the 7th Biennial Meeting at The Asian Pacific Society for Neurochemistry (APSN), held at the National University of Singapore (NUS). Additionally, his excellence in presentation earned him another Travel Award at the 29th Annual Meeting of the Japan Neuroscience Society in Kyoto, Japan.

Further highlighting his global engagement, Dr. Parkash was granted a Travel Grant in 2005 to attend the XXII Annual Meeting of The Indian Academy of Neuroscience (IAN) in Gwalior, India. These acknowledgments reflect his dedication to advancing neuroscientific knowledge on both national and international fronts šŸŒšŸ§ .

Publications Top Notes

  1. I. Cimino, F. Casoni, X. Liu, A. Messina, J. Parkash, et al.
  2. A. Walia, S. Guleria, P. Mehta, A. Chauhan, J. Parkash
  3. N.K. Hanchate, P. Giacobini, P. Lhuillier, J. Parkash, C. Espy, C. Fouveaut, et al.
  4. A. Messina, F. Langlet, K. Chachlaki, J. Roa, S. Rasika, N. Jouy, S. Gallet, et al.
  5. G. Collden, E. Balland, J. Parkash, E. Caron, F. Langlet, V. Prevot, S.G. Bouret

 

Elias Ebrahimzadeh | Cognitive Neuroscience | Best Researcher Award

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Assist Prof Dr. Elias Ebrahimzadeh: Cognitive Neuroscience

Dr. Elias Ebrahimzadeh is a dynamic researcher currently serving as a Postdoctoral Research Fellow at the Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, and an Assistant Professor at the School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran. His expertise spans brain network evaluation using EEG-fMRI, demonstrated in his postdoctoral roles. A recipient of the Top Biomedical Engineering Thesis award, he showcased outstanding academic achievements. šŸ§ šŸ”¬ His dedication to education is evident through accolades like the Outstanding Teacher Award, Payameh Noor University, and top-ranking as a PhD graduate from the University of Tehran. šŸ†šŸŽ“

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šŸŽ“Ā Education:

Dr. Elias Ebrahimzadeh, a distinguished Postdoctoral Research Fellow at Nanyang Technological University’s Centre for Research and Development in Learning (CRADLE), Singapore, blends expertise in brain network assessment and epilepsy localization. His impactful journey includes a fully-funded Ph.D. research stint at the Hotchkiss Brain Institute, University of Calgary, Canada. šŸ§ šŸŒ Holding a Ph.D. in Biomedical Engineering from the University of Tehran, he achieved remarkable success in localizing epileptic foci using EEG-fMRI. šŸ† With a rich academic background spanning electrical engineering and biomedical disciplines, Dr. Ebrahimzadeh demonstrates a commitment to advancing healthcare through cutting-edge research and innovative methodologies. šŸŽ“šŸ”¬

šŸ„ Experience:

Dr. Elias Ebrahimzadeh, a dedicated educator and researcher, imparts knowledge in Physiology, Anatomy, Bio-Instrumentation, and more at Payam Noor University. šŸ“š His passion for teaching extends to diverse subjects, including Linear Control Systems labs at Shahed University and Electronic II at both Shahed University and the University of Tehran. As a Teaching Tutor, he shares expertise in Programming AVR for Robotic Systems under NODET’s supervision. Currently serving as a Postdoctoral Research Fellow at Nanyang Technological University, Singapore, and an Assistant Professor at the Institute for Research in Fundamental Sciences (IPM), Tehran, Dr. Ebrahimzadeh bridges teaching and cutting-edge research. šŸŒŸšŸŽ“

Ā šŸ†Honors and Awards:

Dr. Elias Ebrahimzadeh stands as a trailblazer in biomedical engineering, earning accolades like the Top Biomedical Engineering Thesis at the Annual Dissertation Festival. šŸ† His exceptional journey includes being recognized as the Outstanding PhD graduate and securing the first admission in Biomedical Engineering at the University of Tehran. šŸŽ“ Notably, he clinched the Young Researcher Award from the Iranian Organization of Electronics and represented the Iranian Society of Intelligent Systems. šŸŒ Dr. Ebrahimzadeh’s commitment extends to educational excellence, receiving the Outstanding Teacher Award and contributing significantly to national conferences and cognitive science initiatives. šŸŒŸšŸ§ 

šŸ”¬Ā Research Focus:Ā 

Dr. Elias Ebrahimzadeh’s research interests span the fascinating realm of Cognitive Neuroscience, exploring the intricacies of the mind. šŸ§  His expertise lies in Simultaneous EEG-fMRI Analysis, unraveling the dynamic interplay of brain activity. šŸ“Šāš™ļø With a focus on Biomedical Signal Processing, he delves into advanced techniques for extracting meaningful insights from physiological data. šŸ¤–šŸ” Driven by curiosity, he navigates the frontiers of Artificial Neural Networks, Machine Learning, and Statistical Pattern Recognition, employing these tools to decode complex brain patterns. šŸŒšŸ”¬ His multidisciplinary approach also encompasses Image Processing and System Identification for a comprehensive understanding of neural phenomena. šŸŒŸ

šŸ“š Conference Papers:
  • Ā fMRI Functional Connectivity Analysis for Localizing Epileptic Focus
    • Conference: 2022 30th International Conference on Electrical Engineering (ICEE)
    • Date: May 17-19, 2022
    • Location: Shiraz, Iran.
  • Ā Localization of Seizure Onset Zone through Simultaneous EEG-fMRI Recording: Component-Related BOLD Changes
    • Symposium: THIRD SHARIF NEUROSCIENCE SYMPOSIUM
    • Date: March 3-5, 2020
    • Webpage: [webpage]
  • Epilepsy Presurgical Evaluation Using a Novel Component-Based EEG-fMRI Approach
    • Conference: First National Conference on Artificial Intelligence in Medical Imaging (AIMIN-2019)
    • Organizer: NBML, Tehran, Iran.
    • Date: Nov. 3-4, 2019.
  • Machine Learning Techniques and Nonlinear Features of EEG Signal to Predict Treatment Response to rTMS in Depression
    • Symposium: Fifth Iranian Symposium on Brain Mapping Updates (ISBM 2021)
    • Date: July 14-15, 2021
    • Published in Frontiers in Biomedical Technologies, vol. 8, no. Supple 1 (2021), pp. 22-24.
  • Ā Localizing Epileptic Focus Through Simultaneous EEG-fMRI Recording and Automated Detection of Interictal Epileptiform Discharges (IED) from EEG in Inside MRI
    • Conference: 25th National and 3th International Iranian Conference on Biomedical Engineering (ICBME 2018)
    • Location: Qom, Iran.
    • Date: Nov. 28-30, 2018
    • Paper Link: ICBME25_003
  • Ā Repetitive Transcranial Magnetic Stimulation Enhances Brain Function and Cognition in Elders with Memory Dysfunction
    • Symposium: Sixth Iranian Symposium on Brain Mapping Updates (ISBM 2022)
    • Date: June 2022.
  • Ā A Novel Task-Stimulus Approach by TMS on the Left DLPFC to Treat Attention Deficits in Patients and Increase Attention in Healthy Young People
    • Symposium: Sixth Iranian Symposium on Brain Mapping Updates (ISBM 2022)
    • Date: June 2022.
  • Localization of the Epileptic Focus Through Simultaneous EEG-fMRI Recordings
    • Topic: Application of Artificial Intelligence to MRI for Diagnosis
šŸ” Publications: