Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award

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Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award 

Prof. Mohsen Hayati, Razi University, Iran

Dr. Mohsen Hayati is a Professor in the Electrical Engineering Department at Razi University, Kermanshah, Iran, where he has held various academic and administrative positions, including Head of the Department and Dean of Industry Relations. He earned his Ph.D. in Electronics from Delhi College of Engineering, India. Dr. Hayati’s research interests focus on electronic circuit synthesis, microwave and millimeter-wave devices, and the application of computational intelligence techniques like Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference Systems (ANFIS) for system modeling and simulation. He has supervised 25 Ph.D. and 150 M.Sc. students, published numerous scientific papers, and holds multiple patents. Recognized for his contributions, he has received Razi University’s Distinguished Researcher Award multiple times and was named among the top 2% highly cited researchers globally from 2021 to 2024.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Hayati’s extensive research experience includes developing innovative systems such as high-accuracy viscometers, fault indicators for power lines, and advanced microstrip filters. His research in artificial neural networks (ANN), fuzzy systems, and neuro-fuzzy inference systems for modeling and simulations has been impactful. Additionally, his published work and patents, including several related to automation and control systems, highlight his creativity and problem-solving skills.

Education 🎓

  • Ph.D. in Electronics, Delhi College of Engineering, Delhi University, India (1988–1992)
    Thesis: Analysis and Optimization of Pipeline Network based on Graph Theory

  • M.Sc. in Electronics, Delhi College of Engineering, Delhi University, India (1986–1987)
    Thesis: Design and Analysis of Digital Ratio Meter

  • B.Sc. in Electronics, Nagarjuna University, India (1980–1985)
    Thesis: Design of Random Sequence Generator

Work Experience 🏫

  • Professor: Electrical Engineering Department, Razi University (2014–Present)

  • Associate Professor: Electrical Engineering Department, Razi University (2008–2014)

  • Assistant Professor: Electrical Engineering Department, Razi University (1993–2008)

  • Head of Electrical Engineering Department: Razi University (1993–1996)

  • Dean of Industry Relations Office: Razi University (2004–2007)

  • Head of Computational Intelligence Lab: Razi University (2008–Present)

  • Principal of Razi Engineering College: Razi University (2015–Present)

Achievements 🏆

  • Supervisor:

    • 25 Ph.D. students

    • 150 MSc students

  • Research Interests:

    • Electronic circuits synthesis

    • Microwave and millimeter-wave devices and circuits

    • Computational intelligence (ANN, Fuzzy System, ANFIS) for simulations and modeling

Awards & Honors 🏅

  • Razi University Distinguished Researcher Award (2005–2023)
    Multiple years of recognition for excellence in research

  • Foundation of Distinguished People in West of Iran Award (2010)

  • Top 2% Highly Cited Researcher (2021–2024)

  • Patent Awards:

    • “Birds Repellent for Electric Power Stations”

    • “High Accuracy Digital Viscometer for Paints”

    • “Digital Measuring and Automatic Control of Chlorine Concentration System”

    • “Fault Indicator Instrument in High Power Lines”

    • “Digital Intelligent Guidance System for Blind People”

Publication Top Notes:

Application of artificial neural networks for temperature forecasting

CITED:204

Artificial neural network approach for short term load forecasting for Illam region

CITED:199

Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations

CITED:156

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

CITED:90

An ultra-high sensitive plasmonic refractive index sensor using an elliptical resonator and MIM waveguide

CITED:88

 

Muhammad Bilal | Underwater Communication | Best Researcher Award

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Muhammad Bilal | Underwater Communication | Best Researcher Award

Dr. Muhammad Bilal, Harbin Engineering University, China

Dr. Muhammad Bilal is an accomplished researcher in the field of Information and Communication Engineering, specializing in underwater acoustic communication. With a robust educational background and extensive research experience, he has made significant contributions to the field through innovative projects and publications. His dedication to mentoring students and fostering collaborative research enhances his reputation as a leader in academia.

Professional Profile:

Suitability for the Best Researcher Award:

Dr. Bilal’s qualifications and achievements position him as an exceptional candidate for the Best Researcher Award. His extensive publication record, with 12 SCI and 6 EI indexed articles, highlights his impactful research contributions. His work on novel communication techniques, particularly those mimicking natural sounds, showcases his innovative approach and relevance to contemporary challenges. Furthermore, his active engagement in mentoring doctoral students and organizing international conferences underscores his commitment to advancing the field and supporting future researchers.

Education 

Dr. Bilal holds a Ph.D. in Information and Communication Engineering from Harbin Engineering University, where he graduated with a commendable 91%. He is currently a post-doctoral researcher at the same institution, furthering his expertise. His academic journey also includes a Master’s in Telecommunication Engineering from Hamdard University, Pakistan, and a Bachelor’s degree from FAST National University. This solid educational foundation has equipped him with the theoretical knowledge and practical skills necessary for his research.

Work Experience

Dr. Bilal has accumulated substantial professional experience, currently serving as a post-doctoral researcher at Harbin Engineering University. His prior role as a Senior Manager (Technical) at the National Engineering and Scientific Commission in Pakistan involved leading technical projects and managing teams focused on marine research. Additionally, he has taught various courses in wireless communication and signal processing, demonstrating his ability to convey complex concepts to students at multiple academic levels.

Skills

Dr. Bilal possesses a diverse skill set that includes advanced knowledge in wireless and underwater communication, signal processing, and machine learning. His proficiency in deep neural networks and acoustic communication techniques reflects his technical expertise. Furthermore, he has strong organizational and leadership skills, evidenced by his roles in mentoring students and coordinating academic events. His collaborative spirit is enhanced by his experience working with international research teams.

Awards and Honors

Throughout his career, Dr. Bilal has received several accolades that recognize his contributions to academia and research. Notably, he was named the Best International Student of the Year at Harbin Engineering University for the academic year 2017-2018. He has also been actively involved in various committees for international conferences and workshops, reflecting his respected standing in the academic community. His recognition as a key member of significant technical program committees further demonstrates his influence and commitment to the field.

Publication top Notes:

Biologically inspired covert underwater acoustic communication—A review
Authors: G. Qiao, M. Bilal, S. Liu, Z. Babar, T. Ma
Year: 2018
Cited by: 33 📚🌊

Dolphin sounds-inspired covert underwater acoustic communication and micro-modem
Authors: G. Qiao, Y. Zhao, S. Liu, M. Bilal
Year: 2017
Cited by: 29 🐬🔊

Bionic Morse coding mimicking humpback whale song for covert underwater communication
Authors: M. Bilal, S. Liu, G. Qiao, L. Wan, Y. Tao
Year: 2019
Cited by: 28 🐋📡

A frequency hopping pattern inspired bionic underwater acoustic communication
Authors: G. Qiao, T. Ma, S. Liu, M. Bilal
Year: 2021
Cited by: 25 🌊🔄

Covert underwater communication by camouflaging sea piling sounds
Authors: S. Liu, M. Wang, T. Ma, G. Qiao, M. Bilal
Year: 2018
Cited by: 22 🌊🔍

A nonlinear distortion removal based on deep neural network for underwater acoustic OFDM communication with the mitigation of peak to average power ratio
Authors: X. Ma, W. Raza, Z. Wu, M. Bilal, Z. Zhou, A. Ali
Year: 2020
Cited by: 17 🧠⚡️

Symmetry oriented covert acoustic communication by mimicking humpback whale song
Authors: G. Qiao, M. Bilal, S. Liu, T. Ma, Y. Zhao, B. Kong
Year: 2019
Cited by: 17 🐋🔒

M-ary nonlinear sine chirp spread spectrum for underwater acoustic communication based on virtual time-reversal mirror method
Authors: S. Liu, H.H. Zuberi, Y. Lou, M.B. Farooq, S. Shaikh, W. Raza
Year: 2021
Cited by: 15 🌊🔊

Shallow water acoustic channel modeling and MIMO-OFDM simulations
Authors: G. Qiao, Z. Babar, L. Ma, L. Wan, X. Qing, X. Li, M. Bilal
Year: 2018
Cited by: 13 🌊📊

Symmetric connectivity of underwater acoustic sensor networks based on multi-modal directional transducer
Authors: G. Qiao, Q. Liu, S. Liu, B. Muhammad, M. Wen
Year: 2021
Cited by: 9 🌐🎛️

Mr. Tamoor Shafique | Devices Award | Best Researcher Award

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Mr. Tamoor Shafique | Devices Award | Best Researcher Award

Mr. Tamoor Shafique, Staffordshire University, United Kingdom

Dr. Tamoor Shafique is a Senior Lecturer in Automation & Robotics Engineering at Staffordshire University, where he also serves as Course Leader for MEng/BEng (Hons) Electrical and Electronic Engineering. With a Ph.D. in Electrical Engineering, a Master’s from CIIT Islamabad, and a Bachelor’s from UCET Mirpur, Dr. Shafique has extensive experience in both academia and industry. He specializes in curriculum development, strategic decision-making, and stakeholder liaison, with a strong track record in quality assurance and educational leadership. Dr. Shafique has published six impactful journal papers and contributed to IEEE conference proceedings. His professional experience includes roles as Deputy Head of Engineering HE at University Centre Wigan & Leigh College and Lecturer at various institutions, including Mirpur University of Science and Technology and Conceptz IT Solutions and Training Institute. He is a Fellow of the Higher Education Academy (FHEA) and holds a PGCert in Education. In addition to his academic roles, Dr. Shafique has been involved in local community service as a Foundation Governor at Great Ashton Academy Trust. His research and teaching focus on Robotics, Electronics, and Automation, and he is committed to enhancing educational standards and student engagement.

Professional Profile:

ORCID

 

Summary of Suitability for Best Researcher Award:

Engr. Tamoor Shafique is a distinguished Senior Lecturer in Automation and Robotics Engineering at Staffordshire University with a comprehensive background in electrical engineering and education. His experience spans both academia and industry, demonstrating a deep commitment to engineering education and research.

Education:

  • PhD: Completion in June 2024. 🎓
  • MSc (Electrical Engineering): CIIT Islamabad, Pakistan (2011-2013). 📊
  • BSc (Electrical Engineering): UCET Mirpur, Pakistan (2006-2010). 📐
  • PGCert in Education (Education and Training): University of Central Lancashire, UK (2022). 🌟
  • FHEA: Fellowship of Higher Education Academy (2022). 🎓

Professional Experience:

  • Course Leader and Senior Lecturer, Staffordshire University (Jan 2022 – Present): Overseeing MEng/BEng Electrical and Electronic Engineering, contributing to course re-accreditation, and developing blended learning strategies. 🏫
  • Deputy Head of Engineering HE, University Centre Wigan & Leigh College (Jun 2017 – 2022): Managed quality assurance, internal audits, and curriculum development. 🔧
  • Controls Engineer, Air Handlers Northern Limited (Oct 2016 – Feb 2017): Assisted in developing strategies for AHU Controllers. 🌬️
  • Lecturer, Mirpur University of Science and Technology (Sep 2014 – Sep 2016): Taught and managed various academic responsibilities. 📘

Interests & Hobbies:

  • Engaging with local communities and volunteering. 🌍
  • Playing badminton and reading. 🏸📚
  • Spending time with family and friends. 👨‍👩‍👧‍👦

Publication top Notes:

Data Traffic Based Shape Independent Adaptive Unequal Clustering for Heterogeneous Wireless Sensor Networks

Node Role Selection and Rotation Scheme for Energy Efficiency in Multi-Level IoT-Based Heterogeneous Wireless Sensor Networks (HWSNs)

A Review of Energy Hole Mitigating Techniques in Multi-Hop Many to One Communication and its Significance in IoT Oriented Smart City Infrastructure

Data Augmentation-Assisted Makeup-Invariant Face Recognition

Automatic Grading of Palsy Using Asymmetrical Facial Features: A Study Complemented by New Solutions

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

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Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea 🎓

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea 🏥
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea 🔬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea 📘
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea 📝

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body