Pedro Bertemes-Filho | Biomedical Engineering | Best Researcher Award

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Prof. Dr. Pedro Bertemes-Filho | Biomedical Engineering | Best Researcher Award

Santa Catarina State University, Brazil

Dr. Pedro Bertemes Filho is a distinguished researcher in biomedical engineering, specializing in electrical bioimpedance and medical instrumentation. With a Ph.D. in Medical Physics from the University of Sheffield, he has contributed significantly to biomedical signal processing and the development of wireless clinical devices. His recent focus includes electrical impedance spectroscopy for tissue characterization and cervical cancer diagnosis through large-scale clinical studies in Brazil. As a full professor at UDESC, he leads the Biomedical Engineering research group and teaches across undergraduate to PhD levels. He has held postdoctoral positions at prestigious institutions, including the University of São Paulo and Dartmouth College, and actively collaborates internationally. Dr. Filho serves on editorial boards, is a peer reviewer for leading journals, and holds leadership roles in global bioimpedance societies. His innovative research, academic leadership, and global engagement make him a highly suitable candidate for the Best Researcher Award, recognizing his sustained excellence and impactful contributions.

Professional Profile 

Education🎓

Dr. Pedro Bertemes Filho has an extensive and distinguished academic background in the field of biomedical engineering. He earned his Ph.D. in Medical Physics from the University of Sheffield in the United Kingdom, where he conducted pioneering research in electrical bioimpedance. Prior to his doctoral studies, he completed his undergraduate and master’s degrees in Electrical Engineering in Brazil, laying a strong foundation in electronics and signal processing. Over the years, he has pursued postdoctoral research at renowned institutions such as the University of São Paulo, Brazil, and Dartmouth College, USA, further enhancing his expertise in biomedical instrumentation and clinical applications. His academic journey reflects a deep commitment to interdisciplinary learning and innovation, blending engineering principles with medical sciences. This diverse and robust educational background has equipped him with the knowledge and skills to lead cutting-edge research and mentor students at all academic levels, from undergraduate to doctoral programs, in biomedical engineering.

Professional Experience📝

Dr. Pedro Bertemes Filho has accumulated extensive professional experience in the field of biomedical engineering, marked by academic leadership, innovative research, and international collaboration. He is a full professor at the State University of Santa Catarina (UDESC) in Brazil, where he has played a vital role in advancing research in electrical bioimpedance and biomedical instrumentation. Throughout his career, Dr. Bertemes Filho has led numerous research projects, contributed to scientific development through high-impact publications, and secured funding from national and international agencies. His work includes collaborations with hospitals and universities across Europe, the United States, and Latin America, promoting interdisciplinary applications of biomedical engineering in diagnostics and health monitoring. In addition to research, he has served in various academic leadership roles, including department head and graduate program coordinator, fostering educational excellence and innovation. His professional journey highlights a blend of technical expertise, mentorship, and commitment to improving healthcare through engineering solutions.

Research Interest🔎

Dr. Pedro Bertemes Filho’s research interests lie primarily in the field of biomedical engineering, with a strong focus on electrical bioimpedance, biomedical instrumentation, and the development of non-invasive diagnostic techniques. He is particularly interested in using bioimpedance technology to monitor physiological parameters and detect abnormalities in biological tissues, which has significant implications for early disease diagnosis and patient care. His research also explores the integration of sensors and electronic systems for real-time health monitoring, aiming to improve accessibility and accuracy in clinical settings. Dr. Bertemes Filho is passionate about interdisciplinary approaches, often collaborating with professionals from medicine, physics, and computer science to develop innovative healthcare solutions. His studies are deeply rooted in practical applications, targeting enhancements in diagnostic tools, medical devices, and patient monitoring systems. Through his research, he seeks to bridge the gap between engineering and medicine, ultimately contributing to the advancement of personalized and preventive healthcare technologies.

Award and Honor🏆

Dr. Pedro Bertemes Filho has received numerous awards and honors in recognition of his exceptional contributions to biomedical engineering and academic excellence. He has been acknowledged for his pioneering work in electrical bioimpedance and biomedical instrumentation, which has significantly advanced non-invasive diagnostic techniques. Throughout his career, Dr. Bertemes Filho has earned several research grants and fellowships, both nationally and internationally, underscoring the impact and innovation of his work. He has also been invited as a keynote speaker at prestigious conferences and has served on editorial boards of respected scientific journals, reflecting his leadership in the field. His dedication to teaching and mentoring has been celebrated with academic awards from institutions where he has served, recognizing his commitment to nurturing future scientists and engineers. These accolades not only highlight his scientific achievements but also affirm his role as an influential figure in the global biomedical research community.

Research Skill🔬

Dr. Pedro Bertemes Filho possesses a diverse and robust set of research skills that have significantly advanced the field of biomedical engineering. His expertise lies in electrical bioimpedance, signal processing, and the development of non-invasive diagnostic devices. He is proficient in designing and implementing biomedical instrumentation, integrating both hardware and software components to create innovative solutions for healthcare. Dr. Bertemes Filho is skilled in data acquisition, statistical analysis, and computational modeling, which are essential for validating experimental results and enhancing the accuracy of biomedical systems. He has a strong command of simulation tools and programming languages commonly used in research environments. Additionally, his collaborative approach enables him to work effectively with multidisciplinary teams, fostering innovation across fields such as medicine, electronics, and physics. His ability to translate complex theoretical concepts into practical applications demonstrates his analytical thinking, problem-solving capacity, and commitment to advancing scientific knowledge for real-world impact.

Publications Top Noted✍️

  • Title: A comparison of modified Howland circuits as current generators with current mirror type circuits
    Authors: P. Bertemes-Filho, B.H. Brown, A.J. Wilson
    Year: 2000
    Citations: 130

  • Title: Bipolar and tetrapolar transfer impedance measurements from volume conductor
    Authors: B.H. Brown, A.J. Wilson, P. Bertemes-Filho
    Year: 2000
    Citations: 102

  • Title: Bioimpedance in biomedical applications and research
    Authors: F. Simini, P. Bertemes-Filho
    Year: 2018
    Citations: 83

  • Title: High accurate Howland current source: Output constraints analysis
    Authors: P. Bertemes-Filho, A. Felipe, V.C. Vincence
    Year: 2013
    Citations: 77

  • Title: Tissue characterisation using an impedance spectroscopy probe
    Author: P. Bertemes-Filho
    Year: 2002
    Citations: 75

  • Title: Comparison of three current sources for single-electrode capacitance measurement
    Authors: D.X. Chen, X. Deng, W.Q. Yang
    Year: 2010
    Citations: 51

  • Title: Analytical model for blood glucose detection using electrical impedance spectroscopy
    Authors: B.G. Pedro, D.W.C. Marcôndes, P. Bertemes-Filho
    Year: 2020
    Citations: 45

  • Title: Biomedical serious game system for lower limb motor rehabilitation of hemiparetic stroke patients
    Authors: F. Noveletto, A.V. Soares, F.L.F. Eichinger, S.C. Domenech, M.S. Hounsell, et al.
    Year: 2020
    Citations: 40

  • Title: Biomedical serious game system for balance rehabilitation of hemiparetic stroke patients
    Authors: F. Noveletto, A.V. Soares, B.A. Mello, C.N. Sevegnani, F.L.F. Eichinger, et al.
    Year: 2018
    Citations: 39

  • Title: Howland current source for high impedance load applications
    Authors: K.F. Morcelles, V.G. Sirtoli, P. Bertemes-Filho, V.C. Vincence
    Year: 2017
    Citations: 37

  • Title: Low power current sources for bioimpedance measurements: A comparison between Howland and integrated CMOS OTA circuits
    Authors: P. Bertemes-Filho, V.C. Vincence, M.S. Santos, I.X. Zanatta
    Year: 2012
    Citations: 35

  • Title: Mirrored modified Howland circuit for bioimpedance applications: analytical analysis
    Authors: P. Bertemes-Filho, L.H. Negri, A. Felipe, V.C. Vincence
    Year: 2012
    Citations: 32

  • Title: Bioelectrical impedance analysis for bovine milk: preliminary results
    Authors: P. Bertemes-Filho, R. Valicheski, R.M. Pereira, A.S. Paterno
    Year: 2010
    Citations: 28

  • Title: Analog front-end for the integrated circuit AD5933 used in electrical bioimpedance measurements
    Authors: F. Noveletto, P. Bertemes-Filho, D. Dutra
    Year: 2016
    Citations: 26

  • Title: Gelatin: A skin phantom for bioimpedance spectroscopy
    Authors: A.M.R. Pinto, P. Bertemes-Filho, A. Paterno
    Year: 2015
    Citations: 24

Mehdi Mohajeri | Engineering | Best Researcher Award

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Dr. Mehdi Mohajeri | Engineering | Best Researcher Award

Ph.D. Graduate at Amirkabir Univ. of Technology (Tehran Polytechnic), Iran

Mehdi Mohajeri is a Ph.D. candidate in Construction Management and Engineering at Amirkabir University of Technology, Tehran, Iran. His research focuses on construction safety, risk assessment, and the application of advanced decision-making techniques to improve safety culture and reduce hazards in high-rise construction projects. With a strong academic foundation and multiple published works, he has contributed to the development of methodologies such as fuzzy multi-criteria decision-making (FMCDM), Bayesian networks, and fuzzy failure mode and effect analysis (FFMEA). Mehdi also serves as a Graduate Teaching Assistant, demonstrating his commitment to both research and education. His work plays a crucial role in enhancing safety practices in the construction industry, and he continues to explore new solutions to address challenges in the field.

Professional Profile

Education

Mehdi Mohajeri holds a Bachelor’s degree in Civil Engineering from Islamic Azad University Kerman Branch (2003-2007). He pursued a Master’s degree in Civil Engineering with a specialization in HSE (Health, Safety, and Environmental) Engineering at Amirkabir University of Technology, Tehran, Iran, completing it in 2013. Currently, he is working toward his Ph.D. in Construction Management and Engineering at Amirkabir University of Technology, where he has been researching under the supervision of Dr. Abdollah Ardeshir since 2016. His doctoral studies focus on improving safety measures and assessing risks in the construction industry using innovative decision-making methods, further building upon his educational background in civil engineering and safety management.

Professional Experience

Mehdi Mohajeri has been a Graduate Teaching Assistant at Amirkabir University of Technology since 2018, where he supports students in construction management courses and contributes to the academic environment. His teaching role reflects his passion for both research and knowledge sharing. In his research career, Mehdi has published multiple influential journal articles related to safety culture, risk assessment, and decision-making models in construction. He has collaborated with experts to analyze construction safety risks using methods like AHP-DEA and FFMEA. His work has been published in well-regarded journals, contributing valuable insights to the field of construction safety. Additionally, Mehdi is actively involved in preparing manuscripts for publication, exploring causality patterns in safety-related incidents and the influence of safety supervisors on construction workers’ behavior.

Research Interests

Mehdi Mohajeri’s primary research interests lie in construction safety, risk assessment, and the application of advanced decision-making models in the construction industry. He focuses on improving safety culture and reducing hazards, particularly in high-rise construction projects, using innovative approaches like fuzzy multi-criteria decision-making (FMCDM), Fuzzy Failure Mode and Effect Analysis (FFMEA), and Bayesian networks. Mehdi is also exploring causality patterns of safety-related incidents in construction, with a keen interest in understanding the influence of safety supervisors on workers’ cognitive behavior and safety performance. His work aims to enhance safety management practices and ensure the well-being of workers in high-risk construction environments, contributing to the broader field of civil engineering and construction management.

Awards and Honors

Although Mehdi Mohajeri’s CV does not list specific awards and honors, his academic and professional achievements, including multiple published journal articles in high-impact journals, reflect his excellence in research. His recognition comes through his impactful work in safety management within the construction industry. He has been involved in several prestigious projects and collaborations with experts in the field, contributing to safety advancements. Additionally, his role as a Graduate Teaching Assistant highlights his commitment to education and his recognition as a skilled and knowledgeable individual in his field. The focus of his work continues to be acknowledged by the academic and professional community, further cementing his reputation as a leading researcher in construction safety and risk management.

Publications Top Noted

  • Title: Assessment of safety culture among job positions in high-rise construction: a hybrid fuzzy multi criteria decision-making (FMCDM) approach
    Authors: A. Ardeshir, M. Mohajeri
    Year: 2018
    Cited by: 48
  • Title: Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2016
    Cited by: 34
  • Title: Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki, H. Malekitabar
    Year: 2022
    Cited by: 29
  • Title: Structural model of internal factors influencing the safety behavior of construction workers
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar, S. Rowlinson
    Year: 2021
    Cited by: 25
  • Title: Diagnostic intervention program based on construction workers’ internal factors for persistent reduction of unsafe behavior
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar
    Year: 2023
    Cited by: 23
  • Title: Safety risk assessment in mass housing projects using combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA
    Authors: A. Ardeshir, M. Amiri, M. Mohajeri
    Year: 2013
    Cited by: 14
  • Title: Analysis of Construction Safety Risks Using AHP-DEA Integrated Method
    Authors: M. Mohajeri, A. Ardeshir
    Year: 2016
    Cited by: 11
  • Title: Ranking main causes of falling from height hazard in high-rise construction projects
    Authors: M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 11
  • Title: Safety assessment in construction projects based on analytic hierarchy process and grey fuzzy methods
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 6
  • Title: Using association rules to investigate causality patterns of safety-related incidents in the construction industry
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki
    Year: 2022
    Cited by: 5
  • Title: Ranking occupations in high-rise construction workshops from the viewpoint of safety culture using FTOPSIS-FAHP model
    Authors: M. Amiri, M. Mohajeri
    Year: 2017
    Cited by: Not available

Xu Zhang | Engineering Award | Best Scholar Award

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Dr. Xu Zhang | Engineering Award | Best Scholar Award

Associate professor at Hubei University of Technology, China

Xu Zhang is a distinguished scholar specializing in intelligent non-destructive testing (NDT) technologies. With a solid academic foundation in Acoustics, her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence in NDT systems. Zhang has been the principal investigator on several prestigious projects, including National Natural Science Foundation of China and National Key Research and Development Plan projects. She has made significant contributions to the fields of electromagnetic acoustic transducers (EMATs), guided wave detection methods, and corrosion imaging. Her research is not only innovative but also highly relevant to critical industries such as aerospace, automotive, and infrastructure.

Professional Profile

Education

Xu Zhang’s academic journey began with a Bachelor’s degree in Acoustics from Nanjing University in 2010. She furthered her education with a Master’s and PhD in Acoustics from the prestigious Chinese Academy of Sciences, where she honed her research focus on non-destructive testing technologies. In 2016, she became an Associate Professor in the Department of Mechanical Engineering at Hubei University of Technology. Xu is currently a Visiting Fellow at the University of Bristol, where she collaborates with global experts on advanced NDT methods. Her academic background has equipped her with a deep understanding of the complexities in material testing, structural health monitoring, and the application of electromagnetic and ultrasonic technologies in engineering.

Experience

Xu Zhang has extensive experience in the field of non-destructive testing and advanced materials inspection. Since 2016, she has served as an Associate Professor at Hubei University of Technology, specializing in intelligent NDT technologies. Zhang has been the Principal Investigator (PI) in numerous high-profile national and provincial projects, focusing on ultrasonic and electromagnetic testing techniques for stress corrosion cracking and high-temperature creep materials. Notable projects she has led include the development of an ultrasonic phased array detection system for automotive steering parts and the creation of technology for pipeline corrosion imaging. Her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence into NDT systems. Zhang is also a Senior Member of the Chinese Mechanical Engineering Society and an active participant in global research discussions on intelligent testing methodologies.

Research Focus

Xu Zhang’s research is primarily focused on intelligent non-destructive testing (NDT) technologies, with a specific emphasis on ultrasonic and electromagnetic guided wave techniques. She is dedicated to the development of advanced sensor systems and diagnostic tools that can detect flaws and assess material integrity in complex engineering structures. One of her key areas of research is the integration of artificial intelligence into NDT methodologies, enabling more efficient and accurate defect detection. Zhang’s work has applications in diverse industries, including automotive, aerospace, and infrastructure, particularly in stress corrosion cracking detection, high-temperature material assessment, and pipeline monitoring. Additionally, her research explores the enhancement of testing systems with electromagnetic transducers and phased array technologies, which improve detection sensitivity and system reliability. Her contributions to NDT technology continue to shape the future of materials testing and structural health monitoring.

Awards and Honors

Xu Zhang has been recognized for her pioneering work in non-destructive testing, particularly in the application of electromagnetic and ultrasonic guided wave technologies. As a Principal Investigator (PI), she has secured several prestigious grants and awards, including the National Key Research and Development Plan Project and the National Natural Science Foundation of China Project. Her research on stress corrosion cracking detection, material assessment, and corrosion imaging has earned her numerous accolades. Zhang has also been honored with key research project leadership positions from the Provincial Science and Technology Department, reflecting her influence in advancing the state of engineering diagnostics. She continues to contribute to the scientific community, and her work in non-destructive testing systems is frequently recognized for its practical applications in the fields of materials science and engineering.

Conclusion

Xu Zhang is a leading figure in the field of intelligent non-destructive testing, with an impressive array of research accomplishments and leadership in cutting-edge projects. Her scholarly work in the development of advanced testing systems and her commitment to pushing the boundaries of engineering innovation make her an outstanding candidate for the Best Scholar Award. With a strong foundation in both academic research and practical applications, Zhang’s continued contributions to the field hold the promise of significant advancements in industrial safety and technology.

Publications Top Noted

A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation

Authors: Zhang, X., Li, B., Niu, X., Song, X., Wu, Q.

Citations: 0

Year: 2024

Journal: NDT and E International, 148, 103231

Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer

Authors: Wu, Q., You, B., Zhang, X., Tu, J.

Citations: 0

Year: 2024

Journal: Sensors, 24(13), 4082

Characterization of Small Delamination Defects by Multilayer Flexible EMAT

Authors: Chen, T., Liu, S., Lv, C., Wu, Q., Zhang, X.

Citations: 1

Year: 2024

Journal: IEEE Sensors Journal, 24(12), pp. 19210–19219

Unidirectional focusing Rayleigh waves EMAT for plate surface defect Inspection

Authors: Chen, T., Lou, T., Lv, C., Wu, Q., Zhang, X.

Citations: 0

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Design and experimental study of electromagnetic ultrasonic single-mode guided wave transducer for small-diameter stainless steel tubes

Authors: Tu, J., Zhan, X., Sun, H., Zhang, X., Song, X.

Citations: 3

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Internal and External Pipe Defect Characterization via High-Frequency Lamb Waves Generated by Unidirectional EMAT

Authors: Zhang, X., Li, B., Zhang, X., Yuan, J., Wu, Q.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland), 23(21)

Bolt Axial Stress Measurement Based on the Dual-Mode Electromagnetic Acoustic Transducer

Authors: Zhang, X., Li, W., Wu, Q., Cai, C., Song, X.

Citations: 2

Year: 2023

Journal: IEEE Sensors Journal, 23(13), pp. 13978–13986

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels

Authors: Tu, J., Yao, N., Ling, Y., Zhang, X., Song, X.

Citations: 0

Year: 2023

Journal: Sensors, 23(6), 3008

Optimized Design of Torsional Guided Wave Magnetostrictive Patch Transducer Based on Reversed Wiedemann Effect

Authors: Li, C., Yang, R., Gu, J., Wang, S., Zhang, X.

Citations: 5

Year: 2023

Journal: Journal of Nondestructive Evaluation, 42(1), 26

Enhancing the Lift-Off Performance of EMATs by Applying an Fe3O4 Coating to a Test Specimen

Authors: Liang, B., Li, Z., Zhai, G., Zhang, X., Dixon, S.

Citations: 5

Year: 2023

Journal: IEEE Transactions on Instrumentation and Measurement, 72, 9502104