Sara Sheikhlary | Biomedical Engineering | Young Scientist Award

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Ms. Sara Sheikhlary | Biomedical Engineering | Best Researcher Award

Ms at The University of Arizona, United States

Sara Sheikhlary is a Ph.D. student in Biomedical Engineering at the University of Arizona, specializing in lipid-based delivery systems to reduce platelet activation. A graduate of Kharazmi University in Tehran, Sara excelled in Biology (Plant Sciences) with a top GPA. She has contributed to research in cancer treatment through cold plasma technology. Passionate about innovation, Sara has received numerous awards, including multiple gold medals in international invention competitions. Alongside her research, she is involved in academic committees, serves as a reviewer for scientific conferences, and participates in music at the university. Her diverse interests in research and community involvement reflect her drive to push boundaries in both science and creativity.

Profile

Scopus

Orcid

Scholar

Education šŸŽ“

Sara Sheikhlary is pursuing a Ph.D. in Biomedical Engineering with a minor in Pharmaceutical Sciences at the University of Arizona since Spring 2022. Her doctoral research focuses on lipid-based delivery systems as shear-reducing agents to limit platelet activation under the supervision of Dr. Marvin J. Slepian. Before that, she earned a Bachelorā€™s degree in Biology (Plant Sciences) from Kharazmi University of Tehran, where she graduated with a GPA of 19.35/20. Her Bachelor’s thesis, supervised by Dr. Mohammad Tahmaseb, studied the effects of atmospheric-pressure cold plasma on cancer cells for potential cancer treatment. Throughout her education, Sara demonstrated academic excellence, earning the top rank in her class and receiving special recognition from Iranā€™s National Elites Foundation.

Ā Experience šŸ’¼

Sara has a diverse academic and research background. Currently, she works as a full-time graduate research assistant at the Sarver Heart Center, University of Arizona, focusing on lipid-based delivery systems in biomedical engineering. She has also served as a member of the Graduate Study Committee (GSC) and participated in the admissions and recruitment committee for the Biomedical Engineering Department. Previously, Sara was an undergraduate research assistant at Kharazmi University, where she worked on nanophysics and tissue engineering projects. As an inventor at Tech Launch Arizona, Sara develops novel biomedical solutions, while also contributing to scientific conferences as an abstract reviewer. Her extensive teaching experience includes being an undergraduate teaching assistant for various biology and biochemistry courses. Additionally, she engages in extracurricular activities, such as being a soprano singer for the university’s chorus community.

Awards and Honors šŸ†

Sara Sheikhlary has received numerous prestigious awards for her academic and innovative achievements. In 2024, she was honored with the Student Innovator of the Year I-Squared Award by Tech Launch Arizona. Her inventions have earned her several gold medals at the iCAN International Invention Innovation Competition in Canada (2023 and 2024), along with special medals and recognition, including the Canadian Special Medal and the Organizerā€™s Committee Choice Award. In addition, she received the Best Women Inventor Award at iCAN 2023. Saraā€™s research and entrepreneurial spirit have also led to awards like the Student Startup Residency (SSR) grant from the University of Arizonaā€™s FORGE program. She has been recognized as an exceptional talent by Kharazmi University and Iranā€™s National Elites Foundation and was invited to the Ministry of Science, Research, and Technology in Iran. These accolades showcase her commitment to advancing science and innovation.

Research Focus šŸ”

Sara Sheikhlary has received numerous prestigious awards for her academic and innovative achievements. In 2024, she was honored with the Student Innovator of the Year I-Squared Award by Tech Launch Arizona. Her inventions have earned her several gold medals at the iCAN International Invention Innovation Competition in Canada (2023 and 2024), along with special medals and recognition, including the Canadian Special Medal and the Organizerā€™s Committee Choice Award. In addition, she received the Best Women Inventor Award at iCAN 2023. Saraā€™s research and entrepreneurial spirit have also led to awards like the Student Startup Residency (SSR) grant from the University of Arizonaā€™s FORGE program. She has been recognized as an exceptional talent by Kharazmi University and Iranā€™s National Elites Foundation and was invited to the Ministry of Science, Research, and Technology in Iran. These accolades showcase her commitment to advancing science and innovation.

ConclusionĀ 

Sara Sheikhlary is a highly deserving candidate for the Young Scientist Award. Her academic excellence, groundbreaking research in biomedical engineering, and impressive recognition in international scientific competitions underscore her potential to make significant contributions to the field. With continued growth in interdisciplinary research and leadership, Sara is poised to become a leading figure in the scientific community.

Publications šŸ“š

  • Recent Findings on Therapeutic Cancer Vaccines: An Updated Review
    • Year: 2024
    • Citations: 3

 

  • Z-scan optical method complements the Thioflavin T assay for investigation of anti-Alzheimer’s impact of polyphenols
    • Journal: Photodiagnosis and Photodynamic Therapy
    • Year: 2022
    • DOI: 10.1016/j.pdpdt.2022.102914
    • Citations: 3

 

  • Inhibitory Impacts of Fulvic Acid-Coated Iron Oxide Nanoparticles on the Amyloid Fibril Aggregations
    • Journal: IEEE Transactions on NanoBioscience
    • Year: 2023
    • DOI: 10.1109/TNB.2023.3182383
    • Citations: 1

 

  • Around-Body Versus On-Body Motion Sensing: A Comparison of Efficacy Across a Range of Body Movements and Scales
    • Journal: Bioengineering
    • Year: 2024
    • Citations: 3

 

  • RENAL13: Python Computational Methods Advance Video Motion Capture for Telehealth and In-Person Diagnostic Accuracy
    • Journal: ASAIO Journal
    • Year: 2023
    • Citations: 3

 

  • RENAL2: Wired Room: Digital Sound, Image, and Motion Analysis for Enhanced Medical Diagnostics from A Patient Encounter
    • Journal: ASAIO Journal
    • Year: 2023
    • Citations: 3

 

  • P82: Platelet Exogenous Lipid Uptake: A Step Toward Lipid Membrane Mechanoceuticals
    • Journal: ASAIO Journal
    • Year: 2023
    • Citations: 3

 

  • Optical measurement of the amount of decrement in amyloid beta aggregations in the presence of silver nanoparticles
    • Journal: Nanoscale
    • Year: 2021
    • DOI: 10.1039/D1NR06498D
    • Citations: 3

 

  • Effects of Atmosphericā€“Pressure Cold Plasma on cancer cells with the aim of cancer treatment
    • Year: 2019
    • Citations: 3

 

goto kyosuke | Medicine| Best Researcher Award

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Mr. goto kyosuke | Medicine | Best Researcher Award

Mr at Fukuoka University, Japan

Kyosuke Goto is a physical therapist specializing in sports rehabilitation and research on sports injuries. Currently a PhD student at Fukuoka Universityā€™s Graduate School of Sports and Health Science, Goto has been an integral part of the Department of Rehabilitation at Fukuoka University Hospital since 2012, focusing on the sports rehabilitation team. His research contributions, particularly in sports-related concussions, have been published widely, influencing rehabilitation practices.

Profile

Scopus

Education šŸŽ“

Goto holds a Bachelor of Physical Therapy from Teikyo University of Faculty of Medical Technology, Japan (2012). He is currently pursuing his PhD at Fukuoka Universityā€™s Graduate School of Sports and Health Science, which reflects his dedication to advancing his expertise in sports rehabilitation and injury research.

Experience šŸ§‘ā€šŸ«

Since April 2012, Goto has worked in the Department of Rehabilitation at Fukuoka University Hospital, contributing significantly to the Sports Rehabilitation Team. His role focuses on rehabilitation for athletes, assisting with recovery from injuries and optimizing their performance, while continuously refining techniques for injury prevention.

Awards and Honors šŸ†

Goto has received notable recognition for his research, with multiple publications in esteemed journals such as Brain Science and Assistive Technology. His innovative contributions, particularly in concussion research and rehabilitation methods, have established him as a leading expert in the field of sports rehabilitation.

Research Focus šŸ”

Gotoā€™s research primarily revolves around sports-related injuries, with a strong emphasis on concussions and innovative rehabilitation techniques. He has explored the epidemiology of concussions in university athletes and the application of Hybrid Assistive Limb technology in rehabilitation following surgeries like total knee and hip arthroplasties.

ConclusionšŸ“

Kyosuke Goto is undoubtedly a strong contender for the Best Researcher Award. His contributions to sports rehabilitation, particularly in the area of concussions, demonstrate both a deep understanding of the clinical challenges faced by athletes and a commitment to improving their recovery processes. Gotoā€™s research has the potential to influence sports injury prevention and rehabilitation protocols worldwide, and his use of innovative technologies like HAL highlights his forward-thinking approach. With some expansion in the scope of his research and further collaborations, Kyosuke Goto has the potential to make even greater strides in enhancing the quality of care for athletes.

Publications šŸ“š

  1. Title: Characteristics of Intracranial Kinetic Loads When Sports-Related Concussion Occurs in Menā€™s Rhythmic Gymnastics
    Year: 2024
    Authors: Otsubo, S., Shigemori, Y., Endo, S., Masuda, K., Zhang, Y.
    Source: Brain Sciences, 14(8), 835

 

  1. Title: Epidemiology of Sports-Related Concussion in Japanese University Soccer Players
    Year: 2024
    Authors: Fukushima, H., Shigemori, Y., Otsubo, S., Tsurusaki, R., Inui, M.
    Source: Brain Sciences, 14(8), 827

 

  1. Title: The Significance of Off-Season Tailor-Made Baseline Measurements in the Assessment of Post-Concussion in University Athletes
    Year: 2024
    Authors: Goto, K., Shigemori, Y., Tanabe, Y., Shimozono, H., Murakami, J.
    Source: Brain Sciences, 14(7), 698

 

  1. Title: Survey on Sports-Related Concussions Among Japanese University Students
    Year: 2022
    Authors: Otsubo, S., Shigemori, Y., Fukushima, H., Yamaguchi, K., Otsuka, N.
    Source: Brain Sciences, 12(11), 1557

 

  1. Title: Hybrid Assistive Limb Improves Restricted Hip Extension After Total Hip Arthroplasty
    Year: 2022
    Authors: Setoguchi, D., Kinoshita, K., Kamada, S., Inoue, T., Yamamoto, T.
    Source: Assistive Technology, 34(1), 112ā€“120

 

  1. Title: Feasibility of Rehabilitation Using the Single-Joint Hybrid Assistive Limb to Facilitate Early Recovery Following Total Knee Arthroplasty: A Pilot Study
    Year: 2017
    Authors: Goto, K., Morishita, T., Kamada, S., Sankai, Y., Inoue, T.
    Source: Assistive Technology, 29(4), 197ā€“201

Kyu Sik Kim| Medicine | Young Scientist Award

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Mr. Kyu Sik Kim| Medicine | Young Scientist Award

Mr at Seoul National University, South Korea

Kyu Sik Kim is a dedicated PhD candidate at Seoul National University, specializing in systems neuroscience. His research focuses on how the hypothalamus regulates feeding behavior and seeks to bridge the gap between animal and human studies. Passionate about improving therapeutic outcomes, he aims to translate his findings into better treatment options.

 

Publication profile

Scopus

Orcid

Scholar

šŸŽ“ Education & Training

M.S./Ph.D. Candidate in Biomedical Science, Seoul National University, College of Medicine (2020ā€“Present) Advisor: Prof. Hyung Jin Choi. B.S. in Life Science, Sogang University, Seoul, Korea (2014-2018)

šŸ”¬ Major Research Interests

Brain activity and ethology analysis with artificial intelligence. Internal state changes in the brain. Competing needs and motivation in the brain. Hypothalamic neuronal circuits in emotion and eating. Translational research and clinical applications

šŸ† Honors, Funding & Awards

2024: 2-year research program (48M Won) for cultivating future generations in science and engineering. 2024: Basic Academic Field Academic Subsequent Generation (24M Won). 2024: Optodbs Travel Grant. Multiple prizes for Outstanding Graduate Student at Seoul National University (2023-2024). Best Paper Award (March-May 2023)

šŸ›  Skills & Professional Expertise

Software Tools: Ethovision, Inscopix Data Processing, MATLAB, Python. Experimental Techniques: Immunocytochemistry, stereotaxic surgery, animal behavior experiments, and fMRI imaging. Teaching & Mentoring: Guided students in medical research programs at Seoul National University

Publication

  • Lateral Hypothalamic Leptin Receptor Neurons Drive Hunger-Gated Food-Seeking and Consummatory Behaviours in Male Mice
    • Authors: Y.H. Lee, Y.B. Kim, K.S. Kim, M. Jang, H.Y. Song, S.H. Jung, D.S. Ha, J.S. Park, …
    • Published In: Nature Communications, 14(1), 1486
    • Citations: 19
    • Year: 2023

 

  • GLP-1 Increases Preingestive Satiation via Hypothalamic Circuits in Mice and Humans
    • Authors: K.S. Kim, J.S. Park, E. Hwang, M.J. Park, H.Y. Shin, Y.H. Lee, K.M. Kim, L. Gautron, …
    • Published In: Science, 385(6707), 438-446
    • Citations: 6
    • Year: 2024

 

  • Acoustic Deep Brain Modulation: Enhancing Neuronal Activation and Neurogenesis
    • Authors: H. Ham, K.S. Kim, J.H. Lee, D.N. Kim, H.J. Choi, J.J. Yoh
    • Published In: Brain Stimulation
    • Year: 2024

 

  • A Normative Framework Dissociates Need and Motivation in Hypothalamic Neurons
    • Authors: K.S. Kim, Y.H. Lee, Y.B. Kim, J.W. Yun, H.Y. Song, J.S. Park, S.H. Jung, J.W. Sohn, …
    • Published In: bioRxiv
    • Year: 2023

 

Sakshi Kumari | Medicine | Young Scientist Award

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Sakshi Kumari | Medicine | Young Scientist Award

Dr Sakshi Kumari Shimoga institute of medical sciences India

Sakshi Kumari is a dedicated medical professional with a strong academic background, holding an MBBS from Shimoga Institute of Medical Sciences. Her extensive research experience includes studies on COVID-19 outcomes, cognitive dysfunction in postpartum women, and the impact of social media on medical students. She has actively participated in various national and international conferences, winning multiple awards for her presentations. In addition to her research, Sakshi has taken on leadership roles in medical organizations and engaged in community service. Her commitment to both medicine and social responsibility positions her as a promising future leader in healthcare.

    1. Title: Knowledge and Awareness Regarding Responsible Antibiotic Use Among the General Population of Shimoga District of Karnataka: A Cross-Sectional Study
      Authors: S. Wilson, R. Koppad, K. Nagendra, S. Kumari, C. Liana, C.A. Joseph
      Year: 2023

     

    1. Title: Test Positivity Rate, Contact History, and Vaccination Status of COVID-19 Among Patients Visiting Flu Corner (Fever Clinic) of a Tertiary Care Health Center of Karnataka
      Authors: S. Wilson, R. Koppad, K. Nagendra, S. Kumari, C. Liana, C.A. Joseph
      Year: 2023

     

    1. Title: Outcomes of Home Isolated COVID-19 Patients and Risk Factors Associated with the Adverse Outcomes: Longitudinal Retrospective Study in Shimoga, Karnataka
      Author: S. Kumari
      Year: 2023

     

    Conclusion

    In conclusion, Sakshi Kumari’s impressive academic achievements and diverse research experiences reflect her dedication to the medical field. Her active participation in conferences and leadership roles highlights her commitment to advancing healthcare and addressing pressing health issues. Through her community service initiatives, she demonstrates a strong sense of social responsibility. With her passion for medicine and proven skills, Sakshi is well-equipped to make significant contributions to the healthcare sector and drive positive change in the lives of others. Her future in medicine is promising, with the potential for impactful leadership and innovation.

Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

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Assoc Prof Dr. Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

Assoc Prof Dr.Ā  Ali Bagheri Bardi Persian Gulf University Iran

Ali Bagheri Bardi is an accomplished mathematician with a Ph.D. from Kharazmi University, specializing in pure and applied mathematics, including functional analysis, Fourier analysis, and algebraic signal processing. He has held prestigious positions, such as a postdoctoral researcher and visiting professor at the University of Montenegro and has a significant teaching career at Persian Gulf University. Recognized for his contributions, he has received awards like the Abbas Kermani Mathematics Award. His research focuses on operator algebras, noncommutative harmonic analysis, and graph signal processing, with numerous publications in esteemed journals. He has also mentored Ph.D. students and delivered invited talks at international conferences.

Publication Profile

Scholar

Evaluation for Best Researcher Award: Ali Bagheri Bardi

Strengths for the Award:

  1. Extensive Academic and Research Background: Dr. Ali Bagheri Bardi has an impressive academic background with a Ph.D. in Mathematics from Kharazmi University and significant experience in both teaching and research at renowned institutions, including the University of Montenegro and Persian Gulf University.
  2. Diverse Research Contributions: His research spans a broad spectrum of mathematical disciplines, including pure mathematics, functional analysis, Fourier analysis, von Neumann algebras, and applied mathematics, specifically in algebraic signal processing and graph signal processing.
  3. Publication Record: Dr. Bardi has a strong publication record, with numerous papers in prestigious journals such as Signal Processing, Digital Signal Processing, and Linear Algebra and its Applications. His work is recognized for its depth and contribution to the fields of functional analysis and signal processing.
  4. International Recognition: Dr. Bardi has been invited to speak at various international conferences and universities, showcasing his expertise on a global platform. This recognition by the international community is a testament to the impact and significance of his research.
  5. Mentorship: He has supervised several Ph.D. students, guiding them through complex mathematical research, which reflects his dedication to fostering the next generation of researchers.
  6. Awards and Honors: His receipt of the Abbas Kermani Mathematics Award and an Honorable Mention in the International Mathematics Competition further highlight his excellence in research and mathematical problem-solving.

Areas for Improvement:

  1. Interdisciplinary Collaborations: While his work is strong within the realm of pure and applied mathematics, Dr. Bardi could enhance his research profile by engaging in more interdisciplinary collaborations that connect mathematics with other fields, such as computer science or engineering.
  2. Broader Impact and Outreach: Increasing public engagement through popular science articles or public lectures could help disseminate his work to a wider audience and elevate his influence beyond the academic community.
  3. Securing Larger Grants: Pursuing and securing larger-scale research grants, particularly those that support collaborative, multi-institutional projects, could further bolster his standing as a leading researcher.

šŸŽ“ Education

2004ā€“2008Ā  Ph.D, Kharazmi University. 2002ā€“2004Ā  M.Sc, Kharazmi University. 1998ā€“2002 B.Sc, Shahid Beheshti University.

šŸŽÆ Interests

Pure Math. & Functional Analysis – Fourier Analysis – von Neumann Algebras. Applied Math. & Algebraic Signal Processing – Graph Signal Processing

šŸ’¼ Working Experience

2023ā€“2024Ā  Postdoctoral Position, University of Montenegro, Electrical Engineering Department. 2022ā€“2023Ā  Visiting Professor, University of Montenegro, Electrical Engineering Department. 2020ā€“2022Ā  Associate Professor, Persian Gulf University. 2010ā€“2020Ā  Assistant Professor, Persian Gulf University.

šŸ† Awards

2000Ā  Honorable Mention, International Mathematics Competition for University Students (University College London). 2021 Abbas Kermani Mathematics Award (Shiraz University).

šŸŽ¤ Invited Talks and Conferences

2009 šŸ‡ŖšŸ‡ø Infinite Matrices over Completely Counteractive Banach Algebras, Madrid University, Spain. 2010 šŸ‡øšŸ‡Ŗ Operator-Valued Convolution Algebras, Chalmers University, Sweden. 2011 šŸ‡ÆšŸ‡µ Operator Algebras and their Applications, RIMS, Kyoto University, Japan. 2011 šŸ‡µšŸ‡± Operator Algebras and Quantum Groups, Banach Center, Poland. 2011 šŸ‡±šŸ‡ŗ Noncommutative Harmonic Analysis and Representation Theory, Luxembourg University, Luxembourg. 2023 šŸ‡«šŸ‡· Noncommutative Analysis on Groups and Quantum Groups, UniversitĆ© de Bourgogne Franche-ComtĆ©, France.

šŸŽ“ Ph.D. Students

Current Student
Fatemeh Zarei, Spectral Theory of Polynomial Transforms and Fourier Transform on Graphs
2021. Ā S. Javani, Some Analysis of K-Frames and its Dual
2019 . A. Elyaspour, An Algebraic Approach to the Structure Theory of B(H)
2018. Ā M. Khosheghbal, An Approach to Operator-Valued Measurable Functions

Publications

  • Wold-type decompositions in BaerāŽ-rings
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2018
  • The role of algebraic structure in the invariant subspace theory
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2019
  • Operator-valued measurable functions
    GA Bagheri-Bardi
    2015
  • Operator-valued convolution algebras
    GA Bagheri-Bardi, AR Medghalchi, N Spronk
    2010
  • Numerical solutions of a mathematical model of planktonā€“oxygen dynamics using a meshless method
    A Shirzadi, S Ghayedi, M Safarpoor, G Bagheri Bardi
    2018
  • Borel structures coming from various topologies on
    GA Bagheri-Bardi, M Khosheghbal-Ghorabayi
    2017
  • Zero-padding on Connected Directed Acyclic Graphs for Spectral Processing
    L Stanković, M Daković, M Brajović, I Stanković, AB Bardi
    2023
  • Vector-valued measurable functions
    GA Bagheri-Bardi
    2019
  • An extension of Riesz dual pairing in non-commutative functional analysis
    GA Bagheri-Bardi, A Elyaspour, S Javani, M Khosheghbal-Ghorabayi
    2018
  • Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
    L Stankovic, M Dakovic, AB Bardi, M Brajovic, I Stankovic
    2023
  • Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms
    AB Bardi, M Dakovic, T Yazdanpanah, L Stankovic
    2023
  • The Schur decomposition of discrete Sine and Cosine transformations of type IV
    Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
    2023
  • Wold-type decomposition of semigroups of isometries in BaerāŽ-rings
    GA Bagheri-Bardi, GH Esslamzadeh, M Sabzevari
    2021
  • Four Algorithms to Produce Approximate K-Dual Frames
    S Javani, GA Bagheri Bardi, F Takhteh
    2020

Conclusion:

The conclusion for the professional and academic profile of Ali Bagheri Bardi highlights his extensive expertise in both pure and applied mathematics, with a particular focus on functional analysis, operator algebras, and algebraic signal processing. Throughout his career, he has held prominent academic positions, contributed significantly to mathematical research, and received recognition for his scholarly achievements, including prestigious awards and invitations to international conferences. His research has led to numerous publications in high-impact journals, and his work continues to influence various fields, particularly in signal processing and noncommutative analysis. His dedication to mentoring Ph.D. students further underscores his commitment to advancing mathematical sciences.

 

fahimeh nasimi | biomedical signal processing | Best Researcher Award

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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

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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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