fahimeh nasimi | biomedical signal processing | Best Researcher Award

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

 

Shunsuke Suzuki | medical physics | Best Researcher Award

Mr. ā€Œ Shunsuke Suzuki| | Thermodynamics | Best Researcher Award

Mr at Shonan Kamakura General Hospital,Ā  Japan

Ā I am an accomplished researcher and academic, currently pursuing a Ph.D. at the Graduate School of Engineering, Kyoto University. With a strong background in radiation therapy and dosimetry, my research has focused on radiation-induced secondary carcinogenesis and the development of precise Ī³-ray dosimetry methods for boron neutron capture therapy (BNCT). I have published several papers and presented at numerous conferences, contributing to advancements in proton therapy and BNCT. Currently, I am introducing the “nuBeam” accelerator-based BNCT system at Shonan Kamakura General Hospital and continue to innovate in the field of radiation dosimetry and cancer treatment technologies.

Profile

 

Education, Experience, and Academic Achievements šŸŽ“

I conducted research on radiation-induced secondary carcinogenesis during my master’s course at the Graduate School of Medicine, Hokkaido University, and presented my findings at an academic conference. Following my master’s, I joined the Minami-Tohoku Cancer Proton Therapy Center, where I published a paper on radiation-induced secondary carcinogenesis in children due to different proton therapy irradiation methods. Currently, I work at Shonan Kamakura General Hospital, where I am introducing the accelerator-based boron neutron capture therapy system “nuBeam” and presenting research on its initial evaluation at conferences and in scholarly papers. Additionally, I am conducting research on developing Ī³-ray dosimetry in neutron fields, which has been published and will be presented at an international conference. I am also pursuing a doctoral degree at the Graduate School of Engineering, Kyoto University, and will graduate this year.

Contributions to Research & Development, Innovations, and Extension Activities šŸ§Ŗ

In the realm of boron neutron capture therapy (BNCT), the radiation emitted by the BNCT machine is directly linked to the patient dose. Therefore, accurately evaluating the gamma ray dose through measurement is crucial for introducing BNCT into clinical practice. Measurement methods for gamma ray doses in BNCT fields currently vary among facilities, necessitating a universally applicable and accurate method. In Japan, a custom-built thermoluminescent dosimeter (TLD) (Panasonic, UD-170LS) with beryllium oxide powder in a quartz glass tube is used for š›¾ dose measurement, but it is no longer manufactured or commercially available. Consequently, I investigated a method combining a commercially available Mg2SiO4:Tb TLD (TOREC, TLD-MSO-S) with a 6LiF sintered capsule, verifying its efficacy for š›¾ dose measurement in an accelerator-based (AB)-BNCT system.

Publications Top Notes šŸ“

  1. Initial evaluation of accelerator-based neutron source system at the Shonan Kamakura General Hospital
    • Authors: S. Suzuki, K. Nitta, T. Yagihashi, P. Eide, H. Koivunoro, N. Sato, S. Gotoh, et al.
    • Journal: Applied Radiation and Isotopes
    • Volume: 199
    • Article: 110898
    • Year: 2023

 

  1. Effectiveness of robust optimization against geometric uncertainties in TomoHelical planning for prostate cancer
    • Authors: T. Yagihashi, K. Inoue, H. Nagata, M. Yamanaka, A. Yamano, S. Suzuki, et al.
    • Journal: Journal of Applied Clinical Medical Physics
    • Volume: 24
    • Issue: 4
    • Article: e13881
    • Year: 2023

 

  1. Impact of lifetime attributable risk of radiation-induced secondary cancer in proton craniospinal irradiation with vertebral-body-sparing for young pediatric patients
    • Authors: S. Suzuki, T. Kato, M. Murakami
    • Journal: Journal of Radiation Research
    • Volume: 62
    • Issue: 2
    • Pages: 186-197
    • Year: 2021

 

  1. Evaluation of dose effects of two types of tomotherapy couch and examination of its optimization
    • Authors: S. Suzuki, T. Inoue, A. Yamano, H. Nagata
    • Journal: Journal of the Korean Physical Society
    • Volume: 83
    • Issue: 12
    • Pages: 984-992
    • Year: 2023

 

  1. Optimization of TomoTherapy couch density in the RayStation treatment-planning system
    • Authors: S. Suzuki, T. Inoue, T. Yagihashi, H. Nagata
    • Journal: Journal of the Korean Physical Society
    • Volume: 83
    • Issue: 12
    • Pages: 993-1002
    • Year: 2023

 

  1. Relative Biological Effectiveness Values of Spot-scanning Proton Beam Therapy at Shonan Kamakura General Hospital
    • Authors: S. Shiba, M. Yamanaka, K. Matsumoto, A. Yamano, T. Shimo, S. Suzuki, et al.
    • Journal: in vivo
    • Volume: 37
    • Issue: 3
    • Pages: 1016-1021
    • Year: 2023
    • Abstract: This research investigates the Relative Biological Effectiveness (RBE) values of spot-scanning proton beam therapy at Shonan Kamakura General Hospital. The findings contribute to understanding the biological impact and therapeutic advantages of proton beam therapy in clinical settings.

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