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

šŸ“ˆCore 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)

šŸ’¼Professional 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

šŸŽ“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

šŸ«Employment History

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

šŸ”¬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.

šŸ† Awards and HonorsĀ 

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

Publications Top Notes šŸ“

  • 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

 

Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

Posted on by ScienceFather

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