Temitayo Omoyeni | Bioengineering | Best Researcher Award

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Mrs. Temitayo Omoyeni | Bioengineering | Best Researcher Award

Research Assistant,Cyprus International University Nigeria

Temitayo Margaret Omoyeni is a dedicated researcher and academic specializing in bioengineering and physics. With a robust educational background and hands-on experience, she contributes significantly to bioengineering studies, focusing on hydrogel technology and environmental bioengineering. Currently pursuing her Ph.D. at Cyprus International University, she has published impactful research and actively participates in professional organizations, including IEEE and ACS. Beyond academia, Temitayo demonstrates leadership in volunteer roles, contributing to humanitarian and technical initiatives. Her technical expertise, interdisciplinary focus, and passion for innovation make her a rising star in bioengineering and biomedical research.

Publication Profile 

Scholar

🎓 Education

Ph.D. Bioengineering (Feb 2021–Present): Cyprus International University. M.Sc. Bioengineering (Feb 2021): Cyprus International University. B.Sc. Physics with Electronics (Nov 2015): Osun State University, Nigeria.

💼 Experience

Research Assistant (2023–Present): Faculty of Medicine, Cyprus International University. Research Assistant (2021–2023): Library Department, Cyprus International University. Internship (2014): University College Hospital, Nigeria. Roles included experiment design, data collection, literature reviews, technical support, and equipment calibration. Proficient in managing laboratory operations and contributing to academic research.

🏆 Awards and Honors

ACS Green Chemistry & Engineering Virtual Scholarship (2023). Biomedical Materials & Diagnostic Devices Scholarship (IAAM) (2022). IEEE Membership: IEEE EMB, IEEE Women in Engineering, and more.

🔬 Research Focus

Development of hydrogel membranes for wound healing applications. Biosorption using nanoparticles for environmental bioengineering. Phytochemical analysis and antibacterial properties of natural extracts. Sustainable biomedical engineering innovations using chitosan-based hydrogels. Interdisciplinary approaches integrating physics, bioengineering, and data science.

Conclusion

Temitayo’s dedication to research, innovation, and professional development positions her as a strong candidate for this prestigious recognition. Her achievements reflect her commitment to excellence and potential for continued contributions to bioengineering.

Publication Top Notes

  • Title: Trends in sustainable chitosan-based hydrogel technology for circular biomedical engineering: a review
    Authors: A. Mishra, T. Omoyeni, P.K. Singh, S. Anandakumar, A. Tiwari
    Published in: International Journal of Biological Macromolecules
    Year: 2024
    Cited by: 12

 

  • Title: Biosorption of Dimethyl Phthalate from Aqueous Solution Using Yeast-Based Silver Nanoparticle
    Authors: T.M. Omoyeni, H. Erkurt, J.T. Olaifa
    Published in: Water, Air, & Soil Pollution
    Year: 2024
    Cited by: 1

 

  • Title: Phytochemical screening of an essential oil-loaded PVA/GA hydrogel membrane for potential wound healing application
    Authors: T.M. Omoyeni, D. Kavaz
    Published in: International Journal of Biological Macromolecules
    Year: 2024

 

  • Title: Health and environmental benefits of phytochemicals and antibacterial effectiveness of Cola nitida seed extracts on Salmonella typhi and Escherichia coli
    Authors: O. Durodola, O. Opara, U.A. Ogwurumba, A.B. Isiaka, U.H. Uzoka, and others
    Published in: GSC Biological and Pharmaceutical Sciences
    Year: 2024

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

📈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