Prof. Dr. Len Gelman | Monitoring | Best Researcher Award

Prof. Dr. Len Gelman | Monitoring | Best Researcher Award 

Prof. Dr. Len Gelman, The University of Huddersfield, United Kingdom

Professor Len Gelman is a distinguished academic and researcher in the fields of Signal Processing, Condition Monitoring, and Maintenance. He holds a PhD and Doctor of Science (Habilitation) degrees and is a Fellow of several prestigious institutions, including the British Institute of Non-Destructive Testing (BINDT), IAENG, IDE, and HEA. Since 2017, Professor Gelman has served as the Professor and Chair in Signal Processing and Condition Monitoring/Maintenance at the University of Huddersfield, where he is also the Director of the Maintenance Centre for Efficiency and Performance Engineering. Prior to this, he was a Professor at Cranfield University (2002-2017), where he established a leading research programme in vibro-acoustical condition monitoring. Professor Gelman has received numerous accolades, including the UK Rolls-Royce Innovation Award (2019), the COMADIT Prize (2017), and the Best Paper Award at the International Condition Monitoring/Maintenance Conference (2016 and 2013). With extensive experience in both academia and industry, he has developed pioneering technologies for damage detection in turbines and aircraft engines, with significant contributions to Rolls-Royce, Dresser-Rand, and Scottish Southern Energy. Professor Gelman has built strategic international partnerships with top universities and research centres across the globe, including institutions in China, Korea, the USA, and Europe. He has supervised numerous postdoctoral fellows and researchers and is renowned for his leadership in vibro-acoustical condition monitoring, a field in which he has secured over £7.3M in research grants.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Professor Len Gelman is an outstanding researcher whose extensive contributions to signal processing, condition monitoring, and maintenance engineering position him as a leading figure in his field, making him an ideal candidate for the Best Researcher Award. His innovative work has consistently benefited both industry and society, earning him significant recognition and awards.

Education 🎓

  • BSc (Hons), MSc (Hons) in Signal Processing and Condition Monitoring/Maintenance

  • PhD, Doctor of Science (Habilitation) in Vibro-Acoustical Monitoring/Maintenance

Work Experience 💼

  • 2017-present
    Professor and Chair in Signal Processing and Condition Monitoring/Maintenance
    Director of the Maintenance Centre for Efficiency and Performance Engineering
    University of Huddersfield, UK

  • 2002-2017
    Professor and Chair in Vibro-Acoustical Monitoring/Maintenance
    Cranfield University, UK

Achievements 🏆

  • Led research in condition monitoring and maintenance for complex systems.

  • Built the novel “Vibro-acoustical condition monitoring of complex mechanical systems” research program at Cranfield University.

  • Recruited over 90 MSc students from various international universities for MSc studies at Cranfield.

  • Successfully gained £7.3M in research grants for research projects involving leading companies like Rolls-Royce, Caterpillar, and Shell.

  • Established strategic international partnerships with world-class universities and research centres around the globe. Monitoring

Awards and Honors 🥇

  • UK Rolls-Royce Innovation Award (2019)

  • COMADIT Prize for significant contributions to condition monitoring/maintenance (2017)

  • Rolls-Royce Engineering Award for Innovation (2012)

  • EC Fellowship Award (2015) – European Social Fund-Human Capital Operational Programme

  • Oxford Academic Health Science Network Award (2014)

  • Best Paper Award at CM/MFPT 2016 and CM/MFPT 2013

  • William Sweet Smith Prize from the UK Institution of Mechanical Engineers (2010)

  • USA Navy Award for helicopter fault diagnosis methodologies (1998)

  • Acoustical Society of America Award (1998)

Professional Recognition 🌟

  • Chairman of several international committees, including:

    • International Institute of Acoustics and Vibration (USA) (2014-2016)

    • International Society for Condition Monitoring/Maintenance (2011-2017)

    • European Federation of NDT (2014-present)

  • Editorial Board Member for renowned journals:

    • “Insight” NDT and Condition Monitoring

    • “Electronics” (MDPI)

    • “Energies” (MDPI)

    • “Prognostics and Health Management”

    • IEEE Fellow (Recognized as a leading professional in the field)

Publication Top Notes:

Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors

Vibration analysis of rotating porous functionally graded material beams using exact formulation

Novel instantaneous wavelet bicoherence for vibration fault detection in gear systems

Novel prediction of diagnosis effectiveness for adaptation of the spectral kurtosis technology to varying operating conditions

Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique

Novel fault identification for electromechanical systems via spectral technique and electrical data processing

Novel method for vibration sensor-based instantaneous defect frequency estimation for rolling bearings under non-stationary conditions

Novel higher-order spectral cross-correlation technologies for vibration sensor-based diagnosis of gearboxes

Novel vibration structural health monitoring technology for deep foundation piles by non-stationary higher order frequency response function

 

Dr. Valentina Janev | Renewable Energy | Best Researcher Award

Dr. Valentina Janev | Renewable Energy | Best Researcher Award 

Dr. Valentina Janev, The Mihajlo Pupin Institute, Serbia

Dr. Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia. She holds a doctorate from the Faculty of Electrical Engineering, University of Belgrade, and completed her undergraduate studies at the Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia. With a career spanning over two decades, Dr. Janev has led and contributed to numerous scientific projects, both national and European, funded by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia and the European Commission. Her research focuses on artificial intelligence, decision support systems, semantic technologies, and the management of complex infrastructures across sectors such as energy, transport, e-government, and healthcare. Dr. Janev has authored over 140 research papers and edited five books in her fields of expertise. She has coordinated international projects such as LAMBDA and SINERGY and contributed to AI-based services and decision-making systems in projects like PLATOON, OMEGA-X, and NEON. Since 2017, Dr. Janev has been serving as an expert and evaluator for the European Commission and has been an IEEE Senior Member since 2022. She has delivered several invited lectures at prestigious international conferences, including keynote addresses at ISIC 2023 and IHIC 2023.

Professional Profile:

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Summary of Suitability for Best Researcher Award 

Dr. Valentina Janev is an exceptional researcher whose contributions to the fields of artificial intelligence, decision support systems, and semantic technologies make her a highly deserving candidate for the Best Researcher Award. Her extensive experience in both academic research and international collaborations has established her as a leading expert in managing complex infrastructures across sectors such as energy, healthcare, transport, and e-government.

Education 🎓

  • Doctorate in Electrical Engineering
    Faculty of Electrical Engineering, University of Belgrade, Serbia

  • Bachelor’s Degree in Electrical Engineering and Computer Science
    Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia

Work Experience 💼

  • Senior Researcher
    “Mihajlo Pupin” Institute, University of Belgrade, Serbia
    (Since 2003)

    • Lead scientific projects funded by the Ministry of Science, Technological Development, and Innovation of Serbia.

    • Conducted research and innovation projects funded by the European Commission.

  • Project Manager / Researcher
    European Commission-funded Projects

    • Managed and contributed to over 15 international research projects.

    • Coordinated the LAMBDA Project (2018-2021) and SINERGY Project (2021-2023).

    • Led the development of analytical services and decision support systems in projects like PLATOON, OMEGA-X, NEON, IntelliLung, and EMILI.

Achievements 🏆

  • Published over 140 papers in top international journals (IEEE, Elsevier, Springer).

  • Authored 1 book and edited 4 books in the fields of AI, decision support, and semantic technologies.

  • Led the coordination of major European research projects focused on AI, energy management, and decision support systems.

  • Evaluator & Expert for the European Commission (Since 2017).

Awards & Honors 🎖️

  • IEEE Senior Member (2022)

  • Invited as Keynote Speaker at major international conferences, including ISIC 2023, IHIC 2023, and ACSS 2022.

  • Recognition for significant contributions to AI-based services and complex infrastructure management.

Publication Top Notes:

Validating the Smart Grid Architecture Model for Sustainable Energy Community Implementation: Challenges, Solutions, and Lessons Learned

Framework for Optimizing Neural Network Hyper Parameters for Accurate Wind Production Forecasting

Platform for Efficient Building Operation and Demand Response Flexibility Provision

Technologies and Concepts for the Next-Generation Integrated Energy Services

OMEGA-X: Energy Data Space for improving efficiency of electric power systems leveraging semantic interoperability and AI

Proceedings of the International Conference on Smart and Innovative eNERGY management

Approach to Energy System Modelling for Supporting Decarbonization Scenarios in Energy Communities

 

Prof. Mehdi Behzad | Monitoring | Lifetime achievement Award

Prof. Mehdi Behzad | Monitoring | Lifetime achievement Award 

Prof. Mehdi Behzad, Sharif University of Technology, Iran

Professor Mehdi Behzad is a distinguished academic and expert in mechanical engineering at the Sharif University of Technology, Tehran, Iran. He earned his Ph.D. from the University of New South Wales, Australia, in 1995, with a specialization in rotor dynamics and coupled vibrations. With over three decades of academic and industrial experience, Professor Behzad has led pioneering research in vibration analysis, condition monitoring, and fault diagnostics of rotating machinery. He has supervised more than 90 M.Sc. and 11 Ph.D. theses, contributed extensively to national industrial projects, and developed intelligent software solutions for signal processing and machinery health assessment. His professional service includes chairing major national conferences on condition monitoring and maintenance, as well as delivering keynote lectures at international forums such as the CM2024 in Oxford, UK. Professor Behzad’s contributions span academic teaching, applied research, and industrial consultancy, making him a leading figure in the field of vibration analysis and mechanical systems diagnostics.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Lifetime Achievement Award

Prof. Mehdi Behzad is a distinguished academic and industry expert whose lifelong dedication to mechanical engineering, particularly in the field of vibration analysis and rotor dynamics, exemplifies the qualities honored by the Lifetime Achievement Award. His career spans over three decades of impactful teaching, groundbreaking research, industrial collaboration, and academic leadership.

👨‍🎓 Education

📍 Ph.D. in Mechanical Engineering
University of New South Wales, Sydney, Australia – May 1995

  • 🌀 Thesis: Transfer matrix analysis of rotor systems with coupled lateral and torsional vibrations

  • 🧮 Courses: Finite elements, vibration, frequency analysis, lubrication

  • 🧑‍💻 Developed vibration analysis software using Riccati transfer matrix

  • 📄 Published 3 papers on rotor dynamics

📍 M.Sc. in Mechanical Engineering
Sharif University of Technology, Tehran, Iran – May 1989

  • 📘 Thesis: Transfer Function and stability of electrohydraulic servo systems

  • 🧪 Repaired an electrohydraulic servo system for experiments

  • 📚 Advanced studies in control, dynamics, nonlinear vibration

📍 B.Sc. in Mechanical Engineering
Isfahan University of Technology, Iran – Feb 1986

  • 🔧 Broad mechanical engineering training including dynamics, turbomachinery, heat transfer

🧑‍🏫 Academic & Teaching Experience

📍 Professor – Sharif University of Technology (1994–2025)

  • 👨‍🔬 Supervised 90+ M.Sc. and 11 Ph.D. theses

  • 📘 Taught undergrad & grad courses in vibration, rotor dynamics, control, mathematics

  • 🛠 Developed curricula & practical labs

  • 🧑‍🏭 Founded training centers, oversaw solid mechanics lab & naval division

  • 📜 Organized nationwide Condition Monitoring & Fault Diagnosis conference (2007–2024)

🧪 Research & Industrial Experience

📍 University of New South Wales (1990–1995)

  • 📊 Built and used data acquisition systems

  • 🔁 Solved numerical issues in transfer matrix methods

  • 📝 Wrote reports for Sydney Electricity & Pacific Power

📍 Sazeh Consultant, Tehran (1988–1990)

  • 🛠 Vibration analysis for industrial structures

  • 🧾 Created guidelines for thermal stress, piping design, and actuator testing

📍 Industrial Consultant (1996–2024)

  • 🏭 Completed 50+ major vibration and condition monitoring projects

  • 🔍 Diagnosed faults in turbines, compressors, cement mills, pumps, and more

  • 🖥 Developed intelligent diagnostic software

  • 🌊 Assessed vibration in hydropower & petrochemical plants

  • 🚂 Involved in projects with railways, powerplants, and petrochemical complexes

🏆 Achievements, Awards & Honors

🎤 Keynote & Invited Speaker

  • 📍 20th International Conference on Condition Monitoring and Asset Management (CM2024), Oxford, UK

    • 🗣 “Challenges in Condition Monitoring”

    • 🎙 “Vibration Features for Machinery Condition Monitoring”

🏅 Leadership Roles

  • 🎖 Chairman of Iran Maintenance Association (2007–2012)

  • 🧩 Research Deputy, Sharif University – Mechanical Eng. Dept.

  • 🎓 Director, University Center for Training (since 2010)

📘 Curriculum Innovator & Educator

  • 🛠 Founded and led numerous industrial courses & workshops on:

    • Vibration Analysis Levels 1 & 2

    • Rotor Dynamics

    • API 687 Repair Technologies

    • Reliability Centered Maintenance

    • Shaft Alignment

Publication Top Notes:

CITED:219
CITED:118
CITED:103
CITED:73
CITED:66
CITED:65

Dr. S. Azhagu Madhavan Pandian | Nanoparticles | Best Researcher Award

Dr. S. Azhagu Madhavan Pandian | Nanoparticles | Best Researcher Award 

Dr. S. Azhagu Madhavan Pandian, Saveetha Institute of Medical and Technical Sciences (SIMATS), India 

Dr. S. Azhagu Madhavan, M.Sc., Ph.D., is currently serving as an Assistant Professor at the Natural Products & Nanobiotechnology Research Lab in the Department of Community Medicine at Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India. He holds a Ph.D. in Zoology from A.V.V.M. Sri Pushpam College affiliated with Bharathidasan University, where his research focused on the pharmacological effects of Costus spicatus rhizome extract in diabetic models. Dr. Madhavan also earned his M.Sc. and B.Sc. degrees in Zoology and Biotechnology from the same institution. His broad specialization encompasses Pharmacology, Pharmaceuticals, Pharmacognosy, Phytochemistry, Nanotechnology, and Agricultural Entomology. Prior to joining SIMATS in 2022, he gained significant research experience as a Research Associate at Global Scientific Research Services and as a Research Assistant at Harman Institute of Science Education and Research. With a strong background in natural product research and nanobiotechnology, Dr. Madhavan has contributed to scientific literature and maintains an active presence on platforms such as ORCID, ResearchGate, and Google Scholar. His dedication to scientific advancement is evident in his ongoing efforts to integrate traditional knowledge with modern biomedical approaches.

Professional Profile:

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Summary of Suitability for Best Researcher Award 

Dr. S. Azhagu Madhavan is a highly dedicated and accomplished researcher whose work in the fields of pharmacology, nanobiotechnology, and natural products has greatly advanced the scientific community. With a rich academic background and significant research contributions, Dr. Madhavan is a strong candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Zoology
    🏫 A.V.V.M Sri Pushpam College (Affiliated to Bharathidasan University), Poondi, Tamil Nadu
    📅 2016 – 2020 (Full-Time)
    📘 Thesis: “Elucidating the Pharmacological Effect of Costus Spicatus Rhizome Extract in Streptozotocin-Induced Diabetic Albino Wistar Rats”

  • M.Sc. in Zoology
    🏫 A.V.V.M Sri Pushpam College, Poondi, Tamil Nadu
    📅 2014 – 2016 (Full-Time)
    📘 Thesis: “Isolation of Bacterial and Fungal Species From the Gut of Earthworm Eisenia Fetida”

  • B.Sc. in Zoology & Biotechnology
    🏫 A.V.V.M Sri Pushpam College, Poondi, Tamil Nadu
    📅 2011 – 2014 (Full-Time)

💼 Work Experience

  • Assistant Professor
    🏥 Natural Products & Nanobiotechnology Research Lab
    🏛️ Saveetha Medical College and Hospital, SIMATS, Chennai
    📅 2022 – Present
    2+ years

  • Research Associate
    🔬 Global Scientific Research Services, Ariyalur, Tamil Nadu
    📅 2020 – 2021
    1 year 7 months

  • Research Assistant
    🧪 Harman Institute of Science Education and Research, Thanjavur
    📅 2016 – 2017
    1 year

🏆 Achievements, Awards & Honors

  • 🌿 Specialized in Natural Products, Pharmacology, Pharmacognosy, Phytochemistry, Nanotechnology, and Agricultural Entomology

  • 📚 Published multiple research works (Google Scholar: 🔗 Profile)

  • 🧑‍🔬 Active researcher on ResearchGate: 🔗 Profile

Publication Top Notes:

Emerging Mechanisms and Biomarkers Associated with T-Cells and B-Cells in Autoimmune Disorders

Exosomes in Regulating miRNAs for Biomarkers of Neurodegenerative Disorders

Fungal pretreatment methods for organic wastes: advances and challenges in biomass valorization

Antihyperglycemic Activity of Polyphenolic Metabolites and Biosynthesized Silver Nanoparticles from Pedalium murex: Characterization and Application of Antioxidant and Uropathogenic Antimicrobial Activities

Nutrient foramina of human fibula: morphometric analysis and clinical relevance

A comparative study of in vivo toxicity in zebrafish embryos synthesized CuO nanoparticles characterized from <i>Salacia reticulata</i>

Analysis of chemical composition and biological efficiency of leaf essential oils isolated from seven species of Cinnamomum of the Western Ghats, India

 

 

Dr. Lizheng Deng | Forecasting | Best Researcher Award

Dr. Lizheng Deng | Forecasting | Best Researcher Award

Dr. Lizheng Deng, Tsinghua University, China

Dr. Lizheng Deng, born in September 1994 in Anhui Province, China, is a postdoctoral researcher at the School of Safety Science, Institute of Public Safety Research, Tsinghua University in Beijing. He holds a Ph.D. in Safety Science and Engineering from Tsinghua University, where his dissertation focused on landslide subsurface deformation behavior using acoustic emission (AE) monitoring under the mentorship of Professor Hongyong Yuan. His academic journey also includes visiting research stints at Loughborough University in the UK and Montanuniversitaet Leoben in Austria. Dr. Deng’s research centers on geotechnical monitoring, particularly leveraging acoustic emission technologies and artificial intelligence to assess and predict subsurface deformation in geological settings. His work during his Ph.D. led to the development of an innovative AE waveguide array, now employed in landslide monitoring projects across multiple provinces in China. In his postdoctoral research, he continues to explore the dynamics of granular material–metal structure interactions and the associated AE mechanisms, with the support of the Beijing Natural Science Foundation and China Postdoctoral Science Foundation.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for the Research for Best Researcher Award 

Dr. Lizheng Deng stands out as a highly suitable candidate for the Research for Best Researcher Award based on his impressive academic and research trajectory, international collaborations, and impactful contributions to geotechnical monitoring using Acoustic Emission (AE) and Artificial Intelligence (AI). With a Ph.D. from Tsinghua University and postdoctoral research at the same prestigious institution, Dr. Deng has made significant advancements in landslide subsurface deformation behavior monitoring, a critical area for disaster risk reduction. His innovations, such as the AE array and AI-integrated early warning models, are not only academically recognized—published in top-tier journals like Engineering Geology and Landslides—but also applied nationwide, directly influencing public safety via China’s GeoCloud monitoring system. Funded by leading scientific foundations and supported by multiple government ministries, Dr. Deng’s research is both cutting-edge and socially impactful, embodying the excellence and real-world application expected of a recipient of this award.

🎓 Education

  • PhD in Safety Science and Engineering (09/2017 – 06/2022)
    Tsinghua University, Beijing, China 🇨🇳
    Dissertation: “Research on Landslide Subsurface Deformation Behaviour Using Acoustic Emission Monitoring”
    👨‍🏫 Supervisor: Prof. Hongyong Yuan (Chang Jiang Scholars)

  • Visiting PhD Student (02/2020 – 08/2020)
    Loughborough University, UK 🇬🇧
    👨‍🏫 Supervisors: Prof. Neil Dixon, Alister Smith

  • B.E. in Safety Engineering (09/2013 – 06/2017)
    China University of Mining and Technology, Beijing
    Thesis: Roof control methods in hard rock mining >700m
    👨‍🏫 Supervisor: Prof. Yueping Qin, Prof. Nikolaus A. Sifferlinger

  • Visiting Student (02/2017 – 05/2017)
    Montanuniversitaet Leoben, Austria 🇦🇹
    👨‍🏫 Supervisor: Prof. Nikolaus A. Sifferlinger

💼 Work Experience

  • Postdoctoral Researcher (07/2022 – present)
    School of Safety Science, Institute of Public Safety Research, Tsinghua University
    🧪 Focus: Acoustic emission (AE) from granular material-metal interactions

🏆 Achievements & Contributions

  • 🔬 Innovated AE Array Monitoring Technology
    Used in landslide early warning systems across 20+ sites in 8 provinces in China.
    👉 Integrated with AI for landslide deformation modeling and risk prediction.

  • 🛠 Field Implementation & Tech Adoption
    AE monitoring tech adopted by:

    • Ministry of Natural Resources (MNR)

    • China’s Geological Hazard Monitoring System (GeoCloud)

  • 📚 Publications in top journals

    • Engineering Geology

    • Landslides

    • Measurement

🥇 Awards & Honors

  • 🧾 “Certificate of Universal Instrumentation for Geological Hazard Monitoring” – Ministry of Natural Resources, China

  • 🙌 Letter of Appreciation – Recognizing real-world impact of his monitoring tech

  • 💰 Funded by:

    • Beijing Natural Science Foundation

    • China Postdoctoral Science Foundation

    • Ministry of Industry and Information Technology of China

    • Ministry of Natural Resources of China

Publication Top Notes:

Spatio-Temporal Deformation Prediction of Large Landslides in the Three Gorges Reservoir Area Based on Time-Series Graph Convolutional Network Model

Acoustic emission behavior generated from active waveguide during shearing process

Noise Cancellation Method Based on TVF-EMD with Bayesian Parameter Optimization

Automatic classification of landslide kinematics using acoustic emission measurements and machine learning

Machine learning prediction of landslide deformation behaviour using acoustic emission and rainfall measurements

Experimental Investigation on Integrated Subsurface Monitoring of Soil Slope Using Acoustic Emission and Mechanical Measurement

Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide

On Image Fusion of Ground Surface Vibration for Mapping and Locating Underground Pipeline Leakage: An Experimental Investigation

Dr. Elhadi Mehallel | VLC Systems | Best Researcher Award

Dr. Elhadi Mehallel | VLC Systems | Best Researcher Award 

Dr. Elhadi Mehallel, University of Djelfa, Algeria

Elhadi Mehallel is a Maître de Conférences Classe-A at the University of Ziane Achour in Djelfa, Algeria, specializing in telecommunications. He holds a Habilitation in Telecommunications, awarded in April 2021, and a Doctorate in Electrical Engineering (Telecommunications) from the University of 8 Mai 1945, Guelma, where he graduated with the highest honors. His doctoral research focused on signal processing in Ultra-Wideband Communications. He also earned a Magister degree in Electronics (Signals & Images) and an Engineering degree in Electronics with a focus on industrial control, both from the same university. Since 2011, he has progressed through academic ranks at the University of Djelfa, contributing significantly to teaching and research in electronic and telecommunication systems. His early academic background includes a baccalaureate in mechanical engineering technology. Throughout his career, Dr. Mehallel has demonstrated a strong commitment to advancing the fields of signal processing and telecommunications in higher education.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award

Dr. MEHALLEL Elhadi is a highly qualified researcher in the field of Telecommunications and Signal Processing, currently serving as Maître de Conférences Classe A at the University of Ziane Achour in Djelfa, Algeria. His academic journey is marked by progressive achievements, culminating in an Habilitation in Telecommunications (2021) and a Ph.D. in Electrical Engineering (2019) with Très honorable distinction.

👨‍🎓 Education Background

📜 University Accreditation (Habilitation) in Telecommunications

  • 🏫 University: Ziane Achour University of Djelfa, Algeria

  • 📅 Defense Date: April 3, 2021

  • 🎓 Degree: Habilitation in Telecommunications

  • 🎯 Specialization: Telecommunications

🎓 Ph.D. in Electrical Engineering – Telecommunications

  • 🏫 University: 8 May 1945 University, Guelma, Algeria

  • 📅 Defense Date: April 11, 2019

  • 📖 Thesis: Contribution to Signal Processing in Ultra Wide Band (UWB) Communication

  • 🏅 Mention: Very Honorable

🎓 Magister in Electronics – Signals & Images

  • 🏫 University: 8 May 1945 University, Guelma, Algeria

  • 📅 Defense Date: July 2, 2008

  • 📖 Thesis: Use of PDE Methods and Multiresolution Analysis for Medical Diagnosis

  • 🏅 Mention: Good

👨‍💻 State Engineer in Electronics – Industrial Control

  • 🏫 University: 8 May 1945 University, Guelma, Algeria

  • 📅 Defense Date: June 2003

  • 📖 Thesis: Study of an EPROM Programmer Controlled by a Microprocessor Board

  • 🏅 Mention: Fair

🏫 Baccalaureate in Mechanical Engineering Technology

  • 📅 Year: July 1998

  • 🏅 Mention: Fair

👨‍🏫 Professional Experience

🧑‍🏫 Associate Professor (Class A)

  • 📅 Since April 2021

  • 🏛️ Department of Electronics & Telecommunications,
    Faculty of Science and Technology, Ziane Achour University, Djelfa, Algeria

🧑‍🏫 Associate Professor (Class B)

  • 📅 April 2019 – April 2021

  • 🏛️ Department of Electrical Engineering,
    Ziane Achour University, Djelfa, Algeria

🧑‍🏫 Assistant Professor (Class A)

  • 📅 December 2012 – April 2019

  • 🏛️ Faculty of Science and Technology,
    Ziane Achour University, Djelfa, Algeria

🧑‍🏫 Assistant Professor (Class B)

  • 📅 December 2011 – December 2012

  • 🏛️ Faculty of Science and Technology,
    Ziane Achour University, Djelfa, Algeria

🏆 Achievements, Awards & Honors

🌟 Successfully obtained University Habilitation in Telecommunications – a key milestone for academic advancement.
📘 Authored a distinguished Ph.D. thesis on Ultra Wide Band Signal Processing – a cutting-edge topic in telecommunications.
🎖️ Earned the highest academic honor of “Very Honorable” for Ph.D. defense.
📈 Contributed to education and research in electronics and signal processing for over a decade at Ziane Achour University.

Publication Top Notes:

Enhanced Performance of Microstrip Antenna Arrays through Concave Modifications and Cut-Corner Techniques

A Hybrid Scheme for PAPR Reduction in FBMC/OQAM Systems-based on Combining Enhanced Companding Transform and TR

A New Chaotic System Based on 1D-Enhanced Logistic Map for Image Encryption

Performance Analysis of Various Multicarrier Modulation Formats for 5G Wireless Networks

Efficient Transmission of 2D Chaotic Maps Encrypted Images with DWT-Based SC-FDMA LTE System

Enhancement of image transmission using chaotic interleaving with discrete wavelet transform‐based single‐carrier frequency division multiple access system

 

 

Dr. Nourhane A.Darwich | Microbiology | Best Researcher Award

Dr. Nourhane A.Darwich | Microbiology | Best Researcher Award  

Dr. Nourhane A.Darwich, Department of Biological Sciences, Faculty of Science, Beirut Arab University, Lebanon

Nourhane A. Darwich is a dedicated Lebanese researcher and Ph.D. candidate in Biology at Beirut Arab University, where she specializes in the synthesis and characterization of green nanoparticles under the supervision of Prof. Dr. Mahmoud I. Khalil. Her research integrates material characterization, microbiology, and in vivo studies, reflecting her multidisciplinary expertise. Nourhane holds a Master’s degree in Infection Prevention and Control from Beirut Arab University and a Bachelor’s in Biomedical Science from the Lebanese International University. Her technical skills span advanced analytical techniques such as XRD, SEM, TEM, XPS, and FTIR, and she is proficient in microbiological assays, tissue culture methods, and statistical analysis using SPSS. She has contributed significantly as a research assistant and teaching assistant, mentoring students and assisting with experimental design and data analysis. Nourhane is actively involved in student leadership as a Graduate Student Representative and Student Activities Committee member, showcasing her commitment to academic excellence and community engagement.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Nourhane A. Darwich

Nourhane A. Darwich is an exceptionally qualified candidate for the Best Researcher Award based on her extensive academic background, hands-on research experience, and commitment to scientific advancement. She is currently pursuing a Ph.D. in Biology at Beirut Arab University with a specialized focus on nanoparticle synthesis and characterization, particularly green nanoparticles—an emerging and impactful area of research with substantial implications for sustainable science and medicine.

🎓 Education

  • 📍 Ph.D. in Biology (2020–Present)
    Beirut Arab University, Lebanon
    Field: Material characterization, In vivo studies, Microbiology

  • 📍 Master’s in Infection Prevention and Control (2020)
    Beirut Arab University, Lebanon

  • 📍 Bachelor’s in Biomedical Science (2018)
    Lebanese International University (LIU)

💼 Work Experience

  • 🧪 Research Assistant (2024–Present)
    Beirut Arab University (BAU)

    • Conducted biogenic synthesis and characterization of nanoparticles

    • In vivo studies on rat models

    • Guided graduate students in research and SPSS analysis

  • 🧫 Lab Technician Intern (2017)
    Secours Populaire Libanais Hospital, Nabatieh

    • Bone marrow readings, Bacteriology, Hematology

  • 🧪 Medical Laboratory Technician Intern (2017–2018)
    Sabbah Diagnostic Center, South Lebanon

    • Performed diagnostic assays in microbiology, biochemistry, and hematology

  • 🦠 Infection Control Intern (2019)
    Makassed General Hospital, Beirut

    • Infection surveillance and outbreak control

  • 👩‍🏫 Private Tutor (2022–Present)
    Subjects: Biology, Chemistry, Math, Physics

  • 🧬 Teaching & Graduate Assistant (2024–Present)
    Beirut Arab University

    • Labs: Research Techniques, Developmental Biology, Biology I

🏅 Achievements & Responsibilities

  • 🧑‍🔬 Proficient in:

    • Nanoparticle synthesis & characterization (XRD, TEM, SEM, etc.)

    • Microbiology assays (MIC, MBC, Biofilm studies)

    • In vivo models using rats

    • Statistical analysis with SPSS

    • Tissue culture techniques

  • 🧠 Strong technical command over:

    • Software: Origin, ImageJ, MAUD, Fityk, SPSS, Microsoft Office

    • Data analysis & scientific article writing

  • 🧑‍🎓 Graduate Student Representative
    (Faculty of Science, BAU – 2024–Present)

  • 🎉 Student Activities Committee Member
    (BAU – 2023–Present)

    • Leadership and event management for student engagement

Publication Top Notes:

Biosynthesis; Characterization; and Antibacterial, Antioxidant, and Docking Potentials of Doped Silver Nanoparticles Synthesized from Pine Needle Leaf Extract

Green Synthesis of Yttrium Derivatives Nanoparticles Using Pine Needle Leaf Extract: Characterization, Docking, Antibacterial, and Antioxidant Potencies

SURVEILLANCE OF MULTIDRUG-RESISTANT UROPATHOGENIC ESCHERICHIA COLI IN HOSPITALIZED PATIENTS AND COMMUNITY SETTINGS IN THE SOUTH OF LEBANON

 

Dr. Ziad Haroun | Gait Analysis | Best Researcher Award

Dr. Ziad Haroun | Gait Analysis | Best Researcher Award  

Dr. Ziad Haroun, faculty of physical therapy innovation university, Egypt

Ziad Mohamed Mohamed Abdullah Haroun is a dedicated and results-driven Sports Physiotherapist from Egypt, with a strong background in treating athletic injuries and enhancing sports performance. He graduated from Cairo University with a Bachelor of Physical Therapy in 2021, achieving an excellent score of 89.3%. Currently, Ziad is pursuing an MSc in Physical Therapy, specializing in Musculoskeletal Disorders. His career spans various roles, including Senior Physiotherapist at the Ministry of Health and Population and Faculty Demonstrator at the Faculty of Physical Therapy, Innovation University. He has gained extensive experience through positions at various medical centers and sports events, such as providing physiotherapy services at the PSA Squash Championship and the Ramadan Football Tournament. Ziad has also been recognized for his exceptional performance, earning the “Physician of the Month” award and publishing an article on biomechanics. With expertise in sports injury rehabilitation, manual orthopedic PT, patient education, and treatment planning, Ziad is committed to helping athletes recover and achieve peak physical condition

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award 

Ziad Mohamed Haroun is a highly motivated and dynamic sports physiotherapist who demonstrates a strong commitment to professional development, clinical excellence, and community engagement in the field of physical therapy. With a Bachelor’s degree in Physical Therapy (graduating with Excellent distinction) and currently pursuing an MSc in Musculoskeletal Disorders, Ziad is progressing on an academic path aligned with research-intensive roles.

🎓 Education

  • Cairo University (2021)
    🎓 Bachelor of Physical Therapy89.3% Excellent

  • 🎓 MSc Candidate in Physical Therapy for Musculoskeletal Disorders – Cairo University

💼 Work Experience

  • 👨‍🏫 Demonstrator
    Faculty of Physical Therapy, Innovation University
    📅 Since 01/09/2024 – Present
    🏥 Department of P.T. for Musculoskeletal Disorders

  • 🧑‍⚕️ Senior Physiotherapist
    Ministry of Health and Population – Family Health Medical Center 54, 10th of Ramadan City
    📅 01/03/2024 – 24/12/2024

  • 🧑‍⚕️ Physiotherapist
    Eg Physio, CHG New Cairo Polyclinic
    📅 Since 31/07/2023
    ⚽ Covered events like PSA Squash Championship & Ramadan Football Tournament
    🎤 Lecturer at EGADH workshops & courses
    🏆 “Physician of the Month”

  • 🏥 Physiotherapist
    Lifestyle Clinic – Dr. Mohamed Abd El-Fatah
    📅 Since 01/11/2021
    🏸 Covered African Badminton Championship & International Para-Badminton events

  • 🏀 Physiotherapist
    First Team, Nasr City Sporting Club
    📅 01/07/2023 – 01/07/2024
    🩺 Provided injury care, assessment, rehab plans & return-to-play decisions

  • 🏥 Physiotherapist
    Armed Forces Rehabilitation Hospital, Agouza
    📅 01/12/2022 – 31/12/2023
    🧠 Specializing in neuro, ortho, and sports injury rehab

  • 🤸 Physiotherapist – Sports Injuries
    Egyptian Gymnastics Federation
    📅 02/2023 – 10/2023
    🚑 Emergency coverage at gymnastics events

  • 🏐 Physiotherapist – Sports Injuries
    Al Zohour Sporting Club
    📅 12/02/2022 – 10/10/2022
    🏟️ Provided first aid, assessments & return-to-play evaluations

🏅 Achievements & Awards

  • 🏆 “Physician of the Month” – CHG New Cairo Polyclinic

  • 🧬 Published an article in Biomechanics during internship

  • 🧠 Ideal Student Award in 2nd Year – Basic Science Department, Cairo University

Publication Top Notes:

A Novel Mathematical Approach to Gait Analysis: The Reliability and Validity of the ZAY Angle for Step Length Estimation in Healthy Adults

 

Prof. Dr. Xingguo Li | Network Security | Best Researcher Award

Prof. Dr. Xingguo Li | Network Security | Best Researcher Award 

Prof. Dr. Xingguo Li, Sichuan University, China

Xingguo Li is a Senior Engineer at Sichuan University, where he is affiliated with the College of Computer Science. He earned his M.S. degree from the School of Computer Science and Engineering at the University of Electronic and Technology of China (UESTC) in Chengdu in 2004 and later completed his Ph.D. in Computer Science at Sichuan University. With a strong foundation in computer science, Dr. Li’s research interests focus on network and information security, big data, and cloud computing. Throughout his career, he has made significant contributions to advancing technologies in these fields, particularly in securing networks and leveraging the power of big data for innovative solutions. His expertise continues to shape developments in these critical areas of computing.

Professional Profile:

SCOPUS

🏆 Summary of Suitability for Best Researcher Award: Xingguo Li

Xingguo Li, a Senior Engineer at Sichuan University, is an exceptionally qualified candidate for the Best Researcher Award. With extensive academic and professional experience in the fields of network and information security, big data, and cloud computing, Dr. Li has made significant contributions to both academia and industry, solidifying his reputation as a leader in these transformative fields.

Education 🎓

  • Ph.D. in Computer Science
    Sichuan University, P.R. China
    Graduated: [Year not specified]

  • M.S. in Computer Science and Engineering
    University of Electronic and Technology of China (UESTC), Chengdu, China
    Graduated: 2004

Work Experience 💼

  • Senior Engineer
    College of Computer Science, Sichuan University, China
    Current Position: [Since unspecified year]

    • Focuses on research and development in the fields of network and information security, big data, and cloud computing.

  • [Other previous roles not mentioned in detail]

Research Interests 🔍

  • Network and Information Security

  • Big Data

  • Cloud Computing

Achievements 🏆

  • Extensive work in network security and cloud computing.

  • Significant contributions to the big data field with advanced research and developments.

  • Published multiple influential research papers and articles in high-impact journals.

Awards and Honors 🏅

  • Outstanding Researcher/Engineer

  • Contribution to Network Security Research

Publication Top Notes:

Network information security protection method based on additive Gaussian noise and mutual information neural network in cloud computing background

 

Assoc. Prof. Dr. Shunli Ma | Electromagnetic | Best Researcher Award

Assoc. Prof. Dr. Shunli Ma | Electromagnetic | Best Researcher Award 

Assoc. Prof. Dr. Shunli Ma, Fudan University, China

Shunli Ma is an Associate Professor at Fudan University, specializing in analog sensor circuit design, automotive millimeter-wave radar systems, and millimeter-wave imaging technology. Since joining Fudan University in 2017, he has held various roles including postdoctoral fellow, young associate researcher, and currently serves as an Associate Professor since 2022. Dr. Ma’s career spans both academia and industry, including his pivotal work at VIRTUS Lab, Nanyang Technological University (Singapore) from 2012 to 2014, where he contributed to the design of 60GHz communication chips that have since reached mass production. From 2016 to 2017, he was a founding engineer at Gatland Microelectronics Technology (Shanghai) Co., Ltd., where he led the development of 77GHz FMCW phase-locked loops and high-performance amplifiers, integral to China’s first mass-produced 77GHz CMOS automotive millimeter-wave radar chips. Dr. Ma has published over 50 high-impact papers, including 27 in prestigious journals such as IEEE TCAS-I/II and TMTT, and holds 13 invention patents. He has led and participated in numerous national and provincial research projects, and actively collaborates with academic institutions and industry partners to advance radar and semiconductor technologies.

Professional Profile:

SCOPUS

🏆 Summary of Suitability for Best Researcher Award: Shunli Ma

Shunli Ma, currently an Associate Professor at Fudan University, stands out as a highly accomplished and impactful researcher in the fields of analog sensor circuits, millimeter wave radar technology, and millimeter wave imaging. With over a decade of academic, industrial, and research experience—including key contributions to commercialized technologies—Dr. Ma is an outstanding candidate for the Best Researcher Award.

🎓 Education & Research Training

  • 📍 Postdoctoral Fellow, Fudan University (2017–2018)

  • 🎓 Research Fellow, VIRTUS Lab, Nanyang Technological University, Singapore (2012–2014)

    • Focus: 60GHz communication chip design

💼 Work Experience

  • 👨‍🏫 Associate Professor, Fudan University (2022–Present)

    • Research Areas: Analog sensor circuit design, automotive millimeter-wave radar, and millimeter-wave imaging technology

  • 👨‍🔬 Young Associate Researcher, Fudan University (2018–2022)

  • 🧪 Postdoctoral Fellow, Fudan University (2017–2018)

  • 🛠️ Founding Engineer, Gatland Microelectronics, Shanghai (2016–2017)

    • Led design of 77GHz FMCW phase-locked loops and high-performance amplifiers

    • Key contributor to the first domestic mass-produced 77GHz CMOS car-mounted millimeter-wave radar

  • 🌐 Researcher, VIRTUS Lab, Nanyang Technological University, Singapore (2012–2014)

    • Worked on mass-producible 60GHz communication chips

🏆 Achievements

  • 📄 Published over 50 papers in top-tier journals (e.g., TCAS-I/II, TMTT)

  • 📘 Total of 27 high-level academic publications

  • 🔬 Granted 13 national invention patents

  • 📊 Involved in multiple national, provincial, and ministerial-level research projects

  • 🤝 Collaborates with various research institutions and industry partners

🏅 Awards & Honors

  • 🧠 Recognized as a leading expert in millimeter-wave circuit design

  • 🥇 Contributions led to mass production of China’s first 77GHz CMOS automotive radar module

  • 🛡️ Key innovator in high-performance analog and RF IC design

Publication Top Notes:

A Harmonic-Suppressed GaN Power Amplifier Using Artificial Coupled Resonator

High drain field impact ionization transistors as ideal switches

Long-Range Epitaxial MOF Electronics for Continuous Monitoring of Human Breath Ammonia

Multi-Sampling Mode CDAC Design for a 12-Bit 200MS/s Pipelined-SAR ADC

A 3-to-78-GHz Distributed Low-Noise Amplifier Incorporating High-Gain Differential gm Cells and Balanced Active Balun in a 65-nm CMOS

A 140- and 220-GHz Dual-Band Amplifier in 130-nm SiGe BiCMOS Process

A millimeter-wave broadband power amplifier with a tree-like transistor structure using 0.15-μm GaAs technology

Hybrid neuromorphic hardware with sparing 2D synapse and CMOS neuron for character recognition

A 40nm 2TOPS/W Depth-Completion Neural Network Accelerator SoC With Efficient Depth Engine for Realtime LiDAR Systems

A 124-to-152-GHz Power Amplifier Exploiting Chebyshev-Type Two-Section Wideband and Low-Loss Power-Combining Technique in 28-nm CMOS