Julakha JahanJui | Process Control | Best Researcher Award-6241

Mrs. Julakha JahanJui, Computer , Best Researcher Award 

Doctor head at  Deakin University

Short bio

Julakha Jahan Jui is a dedicated professional with a background in [Field of Study], holding a Master’s degree from [University Name]. With a strong foundation in [Specific Areas], she has gained valuable experience in [Current Position or Field]. Her research interests include [Research Areas], and she is committed to advancing knowledge in [Field or Discipline]. Currently, she serves at [Organization/Institution], where she continues to contribute to [Field or Responsibilities].

professional profile

scopus

Educational Details

  • Master of Science (M.Sc.) in [Field of Study]:
    • University Name, Location
    • Year of Graduation
  • Bachelor of Science (B.Sc.) in [Field of Study]:
    • University Name, Location
    • Year of Graduation

Professional Experience

  • Current Position: Julakha Jahan Jui currently holds the position of [Current Position Title] at [Organization/Institution], where she is responsible for [Brief Description of Responsibilities].
  • Previous Roles: She has previously worked as [Previous Position Title] at [Previous Organization/Institution], contributing to [Key Responsibilities or Achievements].

Research Interest:

  • Julakha Jahan Jui’s research interests span [Research Areas], with a particular focus on [Specific Topics or Fields of Interest]. She has published and presented her work in [List Relevant Publications or Conferences].

Publications to Noted:

Optimal energy management strategies for hybrid electric vehicles: A recent survey of machine learning approaches

  •  Jui, J.J., Ahmad, M.A., Molla, M.M.I., Rashid, M.I.M.
  •  Journal of Engineering Research (Kuwait)

Robust PID tuning of AVR system based on Indirect Design Approach-2

  •  Ahmad, M.A., Tumari, M.Z.M., Ghazali, M.R., Suid, M.H., Jui, J.J.
  • Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023

Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

  •  Jui, J.J., Ahmad, M.A., Rashid, M.I.M.
  •  Bulletin of Electrical Engineering and Informatics

Using Adaptive Safe Experimentation Dynamics Algorithm for Maximizing Wind Farm Power Production

  •  Ahmad, M.A., Jui, J.J., Ghazali, M.R.
  •  2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 – Proceedings.

Takayuki Sakai | Radiology| Best Researcher Award

Dr.Takayuki Sakai | Radiology| Best Researcher Award

Chaohe Zheng is an Assistant Professor at the School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, China. He earned his Ph.D. in Energy and Power Engineering from the same institution, following his Bachelor’s degree in the field. His research primarily focuses on computational dynamics, molecular dynamics, quantum dynamics, carbon capture and utilization, and chemical looping technologies.

Profiles

scopus

 

  🎓  Education and Academic Achievements

I pursued my academic journey at Kanazawa University, achieving significant milestones in health sciences. I completed a Doctoral Level Section of Integrated Course from the Graduate School of Medical Sciences (2018-2021), following a Master’s Level Section of Integrated Course (2016-2018). Prior to this, I laid the foundation for my career at Kitasato University School of Allied Health Sciences (1999-2003), where I began my studies in the field.

📝Original Papers

My research contributions are reflected in several notable publications. Among them, I authored papers such as “Functional Assessment of Lumbar Nerve Roots Using Direct Coronal Single-Shot Turbo Spin-Echo Diffusion Tensor Imaging” published in Magnetic Resonance in Medical Sciences (May 2020), and “Distortion-free diffusion tensor imaging for evaluation of lumbar nerve roots” in Magnetic Resonance Imaging (June 2018). These studies have advanced the field of medical imaging, particularly in evaluating spinal and nerve conditions.

🌐 Research, Innovations, and Extension Activities

My work focuses on pioneering quantitative evaluation and imaging innovations. This includes developing methods like 3D MIXTURE for assessing knee articular cartilage to prevent knee osteoarthritis, refining distortion-free diffusion tensor imaging for lumbar spinal nerve evaluation, and improving diffusion-weighted imaging SNR using SSGR techniques.

🏆 Awards and Recognition

I have been honored with a total of seven awards and have served as an invited speaker or resource person at 20 events. My research has made a cumulative impact, reflected in an impact factor of 15 over the last three years. Additionally, I hold editorial appointments in five journals and conferences, contributing actively to the academic community.

 🌐 Professional Affiliations and Contributions

As a member of various professional bodies, I have organized 10 research conferences and workshops and collaborated extensively on 24 joint publications and projects. These affiliations and contributions underscore my commitment to advancing medical sciences through research and collaborative efforts.

📚 Education and Research Highlights

In addition to his academic achievements, Chaohe Zheng has developed industrial-scale solutions for chemical looping combustion and waste treatment. His research innovations have significantly influenced the design and operational strategies of oxygen carriers, enhancing their performance and longevity while minimizing environmental impact.

Publications

Clinical evaluation of 3D high-resolution isotropic knee MRI using Multi-Interleaved X-prepared TSE with inTUitive RElaxometry (MIXTURE) for simultaneous morphology and T2 mapping

Authors: Sakai, T., Yoneyama, M., Zhang, S., Ochi, S., Miyati, T.

Journal: European Journal of Radiology, 2024

A novel simultaneous three-dimensional volumetric morphological imaging and T2-mapping method, multi-interleaved X-prepared turbo-spin echo with intuitive relaxometry provides more accurate quantification of cervical spinal nerves

Authors: Tokeshi, S., Eguchi, Y., Sakai, T., Takahashi, H., Ohtori, S.

Journal: Journal of Clinical Neuroscience, 2024

Relationship between assistant’s lens exposure and dose information during computed tomography examinations

Authors: Ito, H., Matsubara, K., Kobayashi, I., Yanagawa, N., Ochi, S.

Journal: Journal of Radiological Protection, 2024

Correction: Evaluation of x-ray effective focal spot size dependency on x-ray exposure settings using edge response analysis

Authors: Shimakawa, Y., Nishiki, M., Yanagita, S., Ochi, S., Yanagawa, N.

Journal: Radiological Physics and Technology, 2023

Evaluation of x-ray effective focal spot size dependency on x-ray exposure settings using edge response analysis

Authors: Shimakawa, Y., Nishiki, M., Yanagita, S., Ochi, S., Yanagawa, N.

Journal: Radiological Physics and Technology, 2023

Cardiac Magnetic Resonance Imaging Is Useful for Follow-up of Extremely Rare Pediatric COVID-19 Fulminant Myocarditis

Authors: Kinoshita, M., Higashi, K., Takaoka, H., Daimon, M., Kobayashi, Y.

Journal: Circulation Journal, 2023

Usefulness of a lead-acrylic shield for reducing lens dose of assistant in x-ray CT examination

Authors: Ito, H., Matsubara, K., Kobayashi, I., Yanagawa, N., Ochi, S.

Journal: Journal of Radiological Protection, 2022

Usefulness of Simultaneous Magnetic Resonance Neurography and Apparent T2 Mapping for the Diagnosis of Cervical Radiculopathy

Authors: Enomoto, K., Eguchi, Y., Sato, T., Takahashi, K., Ohtori, S.

Journal: Asian Spine Journal, 2022

An Injectable Hyaluronic Acid Hydrogel Promotes Intervertebral Disc Repair in a Rabbit Model

Authors: Inoue, M., Isa, I.L.M., Orita, S., Pandit, A., Ohtori, S.

Journal: Spine, 2021

Clinical feasibility of single-shot fluid-attenuated inversion recovery with wide inversion recovery pulse designed to reduce cerebrospinal fluid and motion artifacts for evaluation of uncooperative patients in acute stroke protocol

Authors: Kubota, Y., Yokota, H., Sakai, T., Ohira, K., Uno, T.

Journal: Journal of Magnetic Resonance Imaging, 2021