Li Wan | Electromagnetic Sensors | Best Researcher Award

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Best Researcher Award

Li Wan
Anhui Medical University, China

Li Wan
Affiliation Anhui Medical University
Country China
Scopus ID 57204732623
Documents 10
Citations 44
h-index 3
Subject Area Psychology, Psychiatry, Electromagnetic Sensors,  Neuroscience, Neuromodulation
Event Global Sensor Awards
ORCID 0000-0002-3748-9087

Li Wan is a Chinese psychologist, neuroscientist, and academic leader recognized for her contributions to brain disorders research, neuromodulation technologies, and non-invasive therapeutic interventions. As Director of the Brain Disorders and Neuromodulation Research Center at Anhui Medical University, she has led multidisciplinary investigations involving electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), brain-computer interfaces (BCI), transcranial electrical stimulation (tES), and transcranial magnetic stimulation (TMS). Her research spans schizophrenia, major depressive disorder, addiction, cognitive control, and neurorehabilitation, contributing to the development of precision psychiatry and digital biomarkers.[1]

Abstract

Li Wan’s academic career is characterized by interdisciplinary research integrating neuroscience, psychiatry, psychology, artificial intelligence, and neuromodulation technologies. Her work focuses on understanding the neural mechanisms of psychiatric disorders and developing non-invasive therapeutic interventions. Through leadership of multiple provincial and institutional research projects, she has advanced translational neuroscience applications for schizophrenia, addiction, depression, and cognitive dysfunction. Her contributions include the development of EEG-based diagnostic systems, digital biomarkers, and personalized neuromodulation strategies designed to improve clinical outcomes and mental healthcare innovation.[2]

Keywords

Neuromodulation, Psychiatry, Neuroscience, EEG, fNIRS, Brain-Computer Interface, Transcranial Magnetic Stimulation, Transcranial Electrical Stimulation, Schizophrenia, Major Depressive Disorder, Addiction Research, Artificial Intelligence, Cognitive Control, Neuroimaging, Digital Biomarkers.

Introduction

Mental and neurological disorders continue to represent significant global healthcare challenges. Advances in neuroimaging, computational neuroscience, and non-invasive brain stimulation have created new opportunities for understanding and treating these conditions. Within this evolving scientific landscape, Li Wan has established a research program dedicated to identifying neural mechanisms associated with psychiatric disorders while translating laboratory findings into clinically relevant interventions. Her investigations combine neurophysiological measurements with advanced analytical approaches to support precision mental healthcare.[3]

Research Profile

Li Wan earned her Ph.D. in Psychology from Virginia Tech and currently serves as Professor and Director of the Brain Disorders and Neuromodulation Research Center. She has participated in major projects funded by the United States Department of Health and Human Services and the United States Department of Defense. As Principal Investigator, she has led more than ten competitive research projects focused on psychiatric disorders, cognitive neuroscience, neuromodulation technologies, and AI-assisted clinical applications.[4]

  • Director, Brain Disorders and Neuromodulation Research Center.
  • Professor and Principal Investigator.
  • Master’s Supervisor at Anhui Medical University and Wannan Medical College.
  • Editorial Board Member of Brain-X, Alpha Psychiatry, and Brain Science Advances.
  • Guest Editor, Frontiers in Psychiatry.
  • Member of the World Psychiatric Association (WPA).

Research Contributions

Her research portfolio demonstrates sustained contributions toward the understanding of neural circuit dysfunction and therapeutic neuromodulation in psychiatric conditions. Several notable projects include:

  • Brain-computer interface interventions for reducing alcohol craving relapse.
  • Artificial intelligence-based analysis of adolescent stress during the COVID-19 pandemic.
  • EEG frequency modulation approaches for schizophrenia symptom improvement.
  • Neural circuit investigations of voluntary inhibition deficits.
  • Targeted electrical stimulation approaches for drug dependence treatment.
  • Novel neurofeedback systems based on transcranial direct current stimulation.

A significant technological contribution includes the development of an artificial intelligence-assisted EEG medical diagnostic support system, protected under Chinese invention patent ZL 2024 1 0077209.1, demonstrating integration of neuroscience, machine learning, and clinical diagnostics.[5]

Publications

Li Wan has authored or co-authored more than 60 scholarly publications, including over 30 papers indexed in SCI journals. Selected representative publications include:

  1. Zhang Q., Wan L., et al. (2026). fNIRS identifies right prefrontal hemodynamic signatures for subclassifying alcohol use disorder. Cognitive Neurodynamics.
  2. Wan L., Chen Y., et al. (2026). EEG-based digital biomarker for personalizing transcranial magnetic stimulation in major depressive disorder. npj Digital Medicine.
  3. Liu W., Wan L., et al. (2025). The effect of bilateral high-definition γ-tACS on negative symptoms and mismatch negativity in schizophrenia. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2025.05.056
  4. Wan L., Pei P., Zhang Q., Gao W. (2024). Specificity in the commonalities of inhibition control. European Psychiatry. DOI: 10.1192/j.eurpsy.2024.1785
  5. Wu H., Zhang Q., Wan L., et al. (2024). Effect of γ-tACS on prefrontal hemodynamics in bipolar disorder. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2024.05.015

Research Impact

The impact of Li Wan’s research extends across neuroscience, psychiatry, clinical psychology, and biomedical engineering. Her studies contribute to improved understanding of cognitive control dysfunction, emotional regulation, and neural network abnormalities associated with psychiatric disorders. By integrating neuroimaging and neuromodulation techniques, her work supports the development of evidence-based personalized treatment strategies and enhances the translation of neuroscience discoveries into clinical practice.[3]

Award Suitability

Li Wan demonstrates strong qualifications for consideration under the Best Researcher Award category. Her record includes leadership of multiple competitive research projects, substantial peer-reviewed publication output, editorial responsibilities in international journals, intellectual property development through an authorized invention patent, and professional service within national and international scientific organizations. The interdisciplinary nature of her work and its translational relevance to mental health care further support recognition of her research achievements.[4]

Conclusion

Li Wan’s scientific career reflects a commitment to advancing knowledge in neuroscience and psychiatry through innovative methodologies and translational research. Her leadership in neuromodulation research, development of AI-assisted diagnostic technologies, and extensive publication record position her among active contributors to contemporary mental health research. Continued investigation of brain disorders and personalized interventions is expected to further strengthen the clinical and scientific significance of her work.

References

  1. ORCID. (n.d.). Li Wan Research Profile.
    https://orcid.org/0000-0002-3748-9087
  2. Research Project Portfolio and Award Nomination Documentation submitted by Li Wan (2026).
  3. Wan, L., et al. Publications in psychiatry, neuroscience, and neuromodulation research (2024–2026).
  4. Professional Biography and Academic Background, Anhui Medical University.
  5. China Invention Patent No. ZL 2024 1 0077209.1. Medical diagnostic assistance system based on EEG signals and artificial intelligence classification.

Joao Thiago Rodrigues de Sousa | Electromagnetic Sensors | Innovative Research Award

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Innovative Research Award

João Thiago Rodrigues de Sousa
Affiliation Federal University of Western Pará (UFOPA)
Country Brazil
Scopus ID 36554033800
Documents 7
Citations 34
h-index 3
Subject Area Forestry, Agroecology, Statistical Modeling, Land Management, Electromagnetic Sensors
Event Global Sensor Awards
ORCID 0000-0002-5761-4631

João Thiago Rodrigues de Sousa
Biodiversity and Forests Institute/ Federal University of Western Pará, Brazil

João Thiago Rodrigues de Sousa, is a Brazilian researcher and academic professional specializing in forestry systems, agroecology, land-use management, and statistical modeling. His academic and professional activities emphasize sustainable ecosystem management, evidence-based environmental decision-making, and interdisciplinary agricultural research. Associated with the Federal University of Western Pará (UFOPA), Sousa has contributed to sustainable management practices for tropical ecosystems and Amazonian agroforestry systems through research, teaching, and technical evaluation.[1]

His work integrates quantitative methodologies, ecological principles, and sustainability frameworks to support productive land-use systems while addressing conservation and socio-environmental challenges. The researcher is recognized for his expertise in applied environmental assessment, agroecological systems, and reproducible statistical analysis using R programming environments.[2]

Abstract

This academic article presents the research profile and professional contributions of João Thiago Rodrigues de Sousa in the fields of forestry, agroecology, land-use management, and environmental sustainability. His work focuses on integrating scientific reasoning with sustainable land-management strategies applicable to tropical ecosystems and Amazonian production systems. The article examines his academic trajectory, research contributions, methodological competencies, and relevance to contemporary environmental and agroecological challenges. The profile additionally highlights the researcher’s involvement in statistical modeling, scientific evaluation, and interdisciplinary ecosystem analysis relevant to modern sustainable development frameworks.[1]

Keywords

Forestry; Agroecology; Land Management; Sustainable Agriculture; Environmental Research; Statistical Modeling; Tropical Ecosystems; Agroforestry Systems; Sustainability Assessment; Amazon Research; Quantitative Analysis; Ecological Management; Scientific Evaluation; R Programming; Environmental Decision-Making.

Introduction

Research in sustainable land-use systems and agroecological management has become increasingly important in addressing ecological degradation, climate-related pressures, and conservation demands within tropical regions. Scholars working in forestry and agroecology contribute substantially to the development of resilient management systems that balance productivity with environmental preservation.[3]

João Thiago Rodrigues de Sousa has developed a research profile centered on evidence-based environmental management and applied ecosystem evaluation. His academic experience combines field-oriented ecological understanding with quantitative analytical methods designed to support sustainable agricultural and forestry practices. Through his work at UFOPA and associated academic projects, Sousa has participated in the development of interdisciplinary strategies related to conservation, productivity optimization, and ecological sustainability within the Amazon region.[2]

Research Profile

Sousa’s professional profile reflects extensive engagement with agroecological systems, land-use planning, forest-based production models, and sustainability-oriented agricultural experimentation. His educational background includes advanced training in Agricultural Sciences, Agroecology, and Statistics and Agricultural Experimentation, supporting a multidisciplinary research framework applicable to environmental and agricultural sciences.[1]

His research activities involve experimental and observational study design, sustainability evaluation, technical content assessment, and ecological modeling. The integration of statistical methodologies with field-based environmental studies enables the development of scientifically grounded approaches for evaluating management systems and ecosystem performance.[4]

  • Forest and agroforestry systems analysis.
  • Sustainable land-use planning and management.
  • Environmental and socio-ecological assessment methodologies.
  • Statistical analysis and reproducible research using R.
  • Technical scientific review and evaluation.

Research Contributions

A significant component of Sousa’s contributions involves the development and evaluation of sustainable management models for perennial agricultural systems and forest-associated ecosystems in the Amazon region. His research integrates productivity objectives with ecological and social considerations, contributing to the broader understanding of sustainability-oriented land management.[2]

The researcher has additionally contributed to scientific communication and technical review activities involving educational materials, sustainability reports, and academic publications. His work supports interdisciplinary collaborations that bridge environmental science, agronomy, forestry, and statistical experimentation.[5]

  • Evaluation of tropical land-management systems.
  • Research on agroecological sustainability frameworks.
  • Quantitative environmental assessment methodologies.
  • Academic supervision in agroecology and land-use planning.
  • Scientific peer-review and technical validation activities.

Publications

The researcher maintains an indexed scholarly profile through Scopus and related academic databases, demonstrating participation in scientific publication and environmental research dissemination.[1]

  • Research publications in agroecology and land-use sustainability.
  • Studies involving agricultural experimentation and ecological modeling.
  • Technical reports related to Amazonian environmental systems.
  • Collaborative scientific outputs addressing conservation-oriented agriculture.

Example DOI reference related to agroecological and sustainability research:
https://doi.org/10.1016/j.agee.2020.106879[6]

Research Impact

The research activities of João Thiago Rodrigues de Sousa contribute to ongoing discussions regarding sustainable agricultural intensification, ecosystem conservation, and responsible land-use governance within tropical environments. His analytical approach supports evidence-based environmental management while emphasizing reproducibility, scientific rigor, and interdisciplinary collaboration.[4]

Through teaching, research supervision, and scientific assessment activities, Sousa has contributed to the development of academic capacity and sustainability-oriented environmental practices within higher education and applied ecological research contexts.[5]

Award Suitability

João Thiago Rodrigues de Sousa demonstrates suitability for recognition in the category of forestry and sustainable land management through his interdisciplinary expertise, academic engagement, and contributions to environmentally responsible agricultural systems. His work aligns with contemporary priorities in conservation science, agroecological resilience, and sustainable ecosystem management.[3]

The researcher’s combination of quantitative analysis, ecological reasoning, technical review capability, and field-based sustainability assessment reflects competencies relevant to international academic and environmental recognition frameworks. His involvement in evidence-based environmental evaluation further strengthens the scholarly significance of his professional contributions.[2]

Conclusion

João Thiago Rodrigues de Sousa represents an academic profile characterized by interdisciplinary environmental research, agroecological expertise, and sustainable land-management scholarship. His contributions to tropical ecosystem analysis, quantitative experimentation, and sustainability-oriented scientific evaluation position him within contemporary discussions surrounding ecological resilience and responsible agricultural development. The combination of academic instruction, applied research, and analytical expertise reflects a consistent commitment to evidence-based environmental science and sustainable ecosystem management.[1]

References

  1. Elsevier. (n.d.). Scopus author details: João Thiago Rodrigues de Sousa, Author ID 36554033800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36554033800
  2. Federal University of Western Pará (UFOPA). (n.d.). Academic and research activities related to agroecology and land management.
    https://www.ufopa.edu.br/
  3. Food and Agriculture Organization. (2021). Sustainable forest management and agroecological systems.
    https://www.fao.org/
  4. R Core Team. (2024). R: A language and environment for statistical computing.
    https://www.r-project.org/
  5. United Nations Environment Programme. (2022). Environmental sustainability and land-use management frameworks.
    https://www.unep.org/
  6. Agriculture, Ecosystems & Environment. (2020). Agroecological sustainability and environmental management studies.
    https://doi.org/10.1016/j.agee.2020.106879

Dr. Madalin Ion Rusu | Voltage probe | Excellence in Innovation

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Dr. Madalin Ion Rusu | Voltage probe | Excellence in Innovation 

Dr. Madalin Ion Rusu, National Institute of R&D for Optoelectronics INOE 2000, Romania

Mădălin Ion Rusu, in Romania, is an established researcher (R3) at the National Institute of Research and Development for Optoelectronics (INOE 2000) in Magurele, Romania. With expertise in lasers, optical fiber communications, and nanostructured materials, his research focuses on laser-matter interactions, Raman spectroscopy, and photonic materials. He coordinates the INDICO laboratory, specializing in optical and complementary diagnostic methods. His work spans medical diagnostics, material characterization, and laser applications in industry and environmental sciences. He has contributed to national and international projects and has numerous scientific publications.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Summary of Suitability for Excellence in Innovation

Madalin Ion Rusu appears to be a strong candidate for the Research for Excellence in Innovation award based on the following key aspects of his qualifications and experience:

🎓 Education

🔹 Ph.D. in Optical Engineering / Photonics (Details TBD)
🔹 Master’s Degree in Optoelectronics and Lasers (Details TBD)
🔹 Bachelor’s Degree in Physics / Engineering (Details TBD)

💼 Work Experience

Established Researcher (R3) – Scientific Researcher, Grade II

📅 August 2021 – Present
🏢 National Institute of Research and Development for Optoelectronics (INOE 2000), Magurele, Romania
🔬 Field: Applied research in constructive technological engineering, lasers, and optical fiber communications

🛠 Key Responsibilities:
✔️ Coordinator & Quality Officer of the INDICO Laboratory – Ensuring compliance with European Union technical regulations
✔️ Research on laser-matter interaction in nanostructured organic and inorganic films
✔️ Optimization & characterization of solid-state laser power sources
✔️ Laser applications in medicine, environment, and materials science
✔️ Raman spectroscopy for ex vivo and in vivo diagnostics in oncology and veterinary medicine
✔️ Development of innovative nanostructure-based systems for real-time malignant tumor margin detection
✔️ Fabrication & testing of optical components, lasers, and fiber optics devices
✔️ Expertise in PLD (Pulsed Laser Deposition) and Vertical Gradient Freezing (VGF) techniques

🛠 Operating Skills:
🟢 Micro-Raman Spectrometer (LABRAM HR 800 Horiba Scientific)
🟢 Spectroscopic Ellipsometer (UVISEL-Horiba Scientific)
🟢 PLD Workstation (PVD Products USA – 193nm & 248nm laser sources)
🟢 Electron-Beam Characterization (RHEED technique)

🏆 Achievements & Contributions

🏅 Key Research Contributions:
✔️ Advanced Raman spectroscopy for interdisciplinary applications (materials science, chemistry, biology, medicine)
✔️ Development of micro- and nanosystems for medical diagnostics in dental surgery
✔️ Fabrication of miniature solid-state lasers (Nd:YAG, Er:YAG) for medical and industrial applications
✔️ Research on ferromagnetic and non-ferromagnetic semiconductor systems

📄 Publications & Conferences:
✔️ Authored multiple scientific papers in high-impact journals
✔️ Presented research at national and international conferences

🔬 Project Involvement:
✔️ Contributed to various national and international research projects in optics, lasers, and nanotechnology

🏅 Awards & Honors

🏆 Recognition for Scientific Contributions (Details TBD)
🎖️ Awards for Research Excellence in Optoelectronics & Photonics (Details TBD)
📜 Grants & Fellowships in Laser Technologies & Optical Fiber Research (Details TBD)

Publication Top Notes:

Towards phase pure kesterite Cu2ZnSnS4 absorber layers growth via single step free sulfurization electrodeposition under a fix applied potential on Mo substrate

CITED: 30

Diagnosing clean margins through Raman spectroscopy in human and animal mammary tumour surgery: A short review

CITED: 23

Thermal, structural, magnetic and magneto-optical properties of dysprosium-doped phosphate glass

CITED: 22

Hydrogen retention in beryllium: concentration effect and nanocrystalline growth

CITED: 22

A new zinc phosphate-tellurite glass for magneto-optical applications

CITED: 21

 

 

 

 

Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

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Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

Prof. Mohammad ali Shamsi Nejad , Faculty of Electrical Engineering and Computer, Iran

Dr. Mohammad Ali Shamsi Nejad is a distinguished Iranian professor in electrical and computer engineering, specializing in power electronics and solar energy. he earned his B.Sc. (1990) and M.Sc. (1996) in Electrical Engineering from Sharif University of Technology, Tehran, before pursuing a Ph.D. at the Institut National Polytechnique de Lorraine (INPL) in France, where he conducted research at the GREEN Lab. His academic career at the University of Birjand began in 1990 as a lecturer, later advancing to assistant professor in 2006 and achieving the rank of professor in 2020. Alongside his academic pursuits, Dr. Shamsi Nejad gained valuable industry experience as a technical manager and advisor at Iran Manyazia in Birjand. His expertise lies in power electronics and renewable energy technologies, making significant contributions to the field through research and teaching.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Research – Mohammad Ali Shamsi-Nejad

Based on the provided information, Prof. Mohammad Ali Shamsi-Nejad exhibits strong research credentials and significant academic contributions. Below is an evaluation of his suitability for the Research for Excellence in Research program.

🎓 Education

  • Ph.D. in Electrical Engineering (2003-2006) – Institut National Polytechnique de Lorraine (INPL), Nancy, France 🏛️
    • Research at GREEN Lab. (Groupe de Recherche en Electrotechnique et Electronique de Nancy), ENSEM
  • M.Sc. in Electrical Engineering (1994-1996) – Sharif University of Technology, Tehran, Iran ⚡
    • General Average: 17/20 📈
  • B.Sc. in Electrical Engineering (1985-1990) – Sharif University of Technology, Tehran, Iran ⚙️
    • General Average: 15/20 📊

💼 Work Experience

  • Professor (2020 – Present) – University of Birjand, Iran 🎓
  • Assistant Professor (2006 – 2020) – University of Birjand, Iran 📚
  • Ph.D. Student (2002-2006) – INPL, France 🔬
  • Lecturer (1996-2002) – University of Birjand, Iran 👨‍🏫
  • Lecturer (1990-1994) – University of Birjand, Iran 🏛️
  • Advisor (1991-2003) – Iran Manyazia Factory, Birjand, Iran 🏭
  • Technical Manager (1990-1991) – Iran Manyazia Factory, Birjand, Iran ⚡

🏆 Achievements, Awards & Honors

  • Promoted to Full Professor at University of Birjand (2020) 🎖️
  • Expertise in Power Electronics & Solar Energy 🌞⚡
  • Contributions to Electrical Engineering Research & Education 📚
  • Published research in the field of Power Electronics & Renewable Energy 🔬

Publication Top Notes:

Adaptive PI controller for voltage regulation of KY converter

Refined HERIC-style grid-connected PV inverter utilizing a bidirectional semi-active clamping concept

A new emotional intelligent adaptive system for controlling the proposed sensor-less induction motor drive with dual stator winding based on a ten-switch converter in low speed range

Dr. Ameen Ullah | Electrical Engineering Awards | Best Researcher Award

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Dr. Ameen Ullah | Electrical Engineering Awards | Best Researcher Award

Dr. Ameen Ullah, Shenzhen University, China

Ameen Ullah is an accomplished electrical engineer from Peshawar, Pakistan, specializing in control systems and renewable energy. He earned his Master of Science in Electrical Engineering from COMSATS University Islamabad, where he focused on developing sensorless adaptive higher-order sliding mode control techniques for permanent magnet synchronous generator (PMSG) based standalone wind energy conversion systems. His thesis highlighted the importance of maximizing power extraction from variable wind speeds, showcasing his expertise in robust and intelligent control paradigms. Ameen holds a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Peshawar, where he developed a directional sound system capable of emitting sound in a narrow beam. He has authored several publications in reputable journals, including Fractal and Fractional and Applied Energy, contributing to advancements in motor drive control systems and wind energy performance. With a solid foundation in MATLAB/SIMULINK modeling and a commitment to innovative solutions in energy systems, Ameen continues to push the boundaries of research in electrical engineering.

Professional Profile:

SCOPUS

Suitability of Ameen Ullah for the Best Researcher Award

Candidate Overview: Ameen Ullah is a promising researcher in the field of Electrical Engineering, specializing in renewable energy systems and control techniques. His strong academic background, innovative research contributions, and active involvement in cutting-edge projects position him as a highly suitable candidate for the Best Researcher Award.

Education 🎓

  • Master of Science in Electrical Engineering
    COMSATS University Islamabad, Abbottabad Campus, Pakistan
    06/03/2017 – 23/07/2019
    CGPA: 3.63/4.0

    • Thesis: Sensorless Adaptive Higher Order Sliding Mode MPPT Control Techniques for PMSG based Standalone Wind Energy Conversion System.
  • Bachelor of Science in Electrical Engineering
    University of Engineering and Technology, Peshawar, Pakistan
    24/09/2012 – 15/06/2016
    CGPA: 2.95/4.0

    • Thesis: Sonic Beam-Directional Sound System.

Work Experience 💼

  • Current Position: (Not specified in CV, consider adding relevant position)
  • Previous Positions:
    • Researcher/Engineer (Details needed)

Achievements 🌟

  • Research Excellence: Contributed to advancements in wind energy conversion systems and motor control techniques.
  • Innovative Projects: Developed a directional sound system focused on improving sound delivery accuracy.

Publication Top Notes:

A comprehensive study of nano/micro fillers on silicone rubber insulators: Electrical, mechanical, and thermal characterization

Enhanced wind energy conversion system performance using fast smooth second-order sliding mode control with neuro-fuzzy estimation and variable-gain robust exact output differentiator

Robust Speed Control of Permanent Magnet Synchronous Motor Drive System Using Sliding-Mode Disturbance Observer-Based Variable-Gain Fractional-Order Super-Twisting Sliding-Mode Control

Variable-Gain Robust Exact Differentiator-Based Neuro-Adaptive Control Design for Dynamic Wind Power Optimization

Prof. Dr. Mohammed Berka | Signal Modulators Awards | Best Researcher Award

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Prof. Dr. Mohammed Berka | Signal Modulators Awards | Best Researcher Award 

Prof. Dr. Mohammed Berka, University of Mascara, Algeria

Dr. Mohammed Berka is an accomplished academic and researcher in the field of Electronics and Telecommunications. He earned his Bachelor’s degree in Mathematics in June 1993 and completed his studies in Electronics Engineering, specializing in Communication, in November 1998. He holds a Diploma of Magister in Electronics with a focus on Signals and Telecommunication Systems, obtained in February 2003, and a Ph.D. in Science in Electronics, concentrating on Telecommunications, awarded in May 2015 from Mustapha Stambouli University in Mascara, Algeria. Dr. [Name] has extensive teaching experience, having served as an Assistant Professor Class “B” from 2004 to 2006, then as Assistant Professor Class “A” from 2006 to 2015, and later as a Class “A” lecturer from 2015 to 2018. He has taught various subjects in telecommunications, including antennas, electromagnetic wave propagation, transmission channels, digital broadcasting, and optical fiber. His research contributions include multiple international publications on metamaterials and their applications in telecommunications, with notable presentations at conferences such as the International Conference on Renewable Energy and the International Conference on Advances in Mechanical Engineering. Dr. [Name]’s innovative work in the design of bandpass filters and photovoltaic cell optimization demonstrates his commitment to advancing the field of Electronics and Telecommunications.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Based on the provided information, the candidate demonstrates strong qualifications for the Best Researcher Award in areas related to Metamaterials, Photonics, and Optronics. Below is a summary of the candidate’s strengths

📚 Education

  • 🎓 Bachelor’s Degree in Mathematics – June 1993.
  • 🎓 Electronics Engineer (Communication Option) – November 1998.
  • 📜 Diploma of Magister in Electronics (Option: Signals and Telecommunication Systems) – February 2003.
  • 🎓 Ph.D. in Science in Electronics (Option: Telecommunications) – May 2015.
    • 🏫 Institution: Mustapha Stambouli University, Mascara.

👩‍🏫 Professional Experience

  • Assistant Professor Class “B” – 2004 to 2006.
  • Assistant Professor Class “A” – 2006 to 2015.
  • Lecturer Class “A” (Ph.D.) – 2015 to 2018.

📖 Pedagogical Activities

  • 📡 Teaching Expertise in Telecommunications:
    • Antennas
    • Propagation of Electromagnetic Waves
    • Transmission Channels
    • Digital Broadcasting
    • Optical Fiber

🧪 Research Activities

📢 International Communications

  1. 🛠️ Design of Bandpass Filter Based on Metamaterial – CIER’14, Tunisia (2014).
  2. 🌀 Electromagnetic Characteristics of Circular Microwave Absorber – EMM-FM, Tunisia (2015).
  3. 📡 Metamaterial Band Pass Filter Using Defected Ground Structures – Istanbul, Turkey (2016).
  4. 🔄 Dual-Band Bandpass Filter with Composite Right/Left-Hand CPW and Ferrite Components – DAT’2017.
  5. 🌞 Photovoltaic Cells Absorption Improvement Using Metasurface – ICAME’19, Turkey (2019).
  6. 📐 Triangular Metamaterial Resonator with YIG Substrate – ICAME’19, Turkey (2019).
  7. 🔍 Technological Qualities of Spiral Metasurface Using SRRS Metamaterials – ICAME’19, Turkey (2019).
  8. 🌐 Circular Metamaterials for Optimized Photovoltaic Absorption – ENTECH’19, Turkey (2019).

🏆 Achievements, Awards, and Honors

  • 🎖️ Recognized for significant contributions to the study of metamaterials and their applications in telecommunications.
  • 🏅 Several conference presentations and publications in esteemed international forums.
  • 📘 Authored research advancing photovoltaic cell technologies and electromagnetic wave propagation.

Publication Top Notes:

A miniaturized folded square split ring resonator cell based dual band polarization insensitive metamaterial absorber for C-and Ku-band applications

Cited:52

Dual-band bandpass filter based on electromagnetic coupling of twin square metamaterial resonators (SRRs) and complementary resonator (CSRR) for wireless communications

Cited:37

Investigation of a near-perfect quad-band polarization-insensitive metamaterial absorber based on dual-T circular shaped resonator array designed on a silicon substrate for C …

Cited:21

Designing of tri-band bandpass microwave filter based on (E–Z) inter-coupled tapered metamaterial resonators for C-and X-band applications and operations

Cited:19

Investigation of dual-band bandpass filter inspired by a pair of square coupled interlinked asymmetric tapered metamaterial resonator for X-band microwave applications

Cited:18

 

Mr. Muhammad Nasir | Power System Awards | Best Researcher Award

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Mr. Muhammad Nasir | Power System Awards | Best Researcher Award 

Mr. Muhammad Nasir, University of Tasmania, Australia

Muhammad Nasir is a Ph.D. scholar in Information and Communication Technology at the University of Tasmania, Australia. he has a strong academic and professional background in computer engineering. He holds an MS in Computer Engineering from the University of Engineering & Technology, Lahore, Pakistan, and a BS in Computer Engineering from the University of Engineering & Technology, Taxila, Pakistan. Muhammad has extensive teaching and research experience. Currently, he works as a tutor in the School of ICT at the University of Tasmania, where he conducts tutorials for various courses. Previously, he served as a lecturer and lab engineer in the Department of Computer Engineering at the University of Lahore, Pakistan, contributing to both theoretical and practical education in computer engineering. He also gained industry experience as a Junior Software Developer at Egnie Next, where he worked on front-end and back-end integration.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Muhammad Nasir

Muhammad Nasir, a PhD scholar in Information and Communication Technology at the University of Tasmania, is an outstanding candidate for the Best Researcher Award. His research focuses on control and automation, particularly in the realm of Autonomous Systems using deep learning techniques. His academic background includes a Master’s and Bachelor’s degree in Computer Engineering from esteemed institutions in Pakistan, where he has demonstrated exceptional performance throughout his education.

Education 🎓

  • PhD in Computer Engineering
    University of Tasmania, Launceston, Australia
    Sep 2023 – Present
  • MS in Computer Engineering
    University of Engineering & Technology, Lahore, Pakistan
    Sep 2017 – Sep 2020
  • BS in Computer Engineering
    University of Engineering & Technology, Taxila, Pakistan
    Oct 2013 – July 2017

Work Experience 💼

  • Tutor
    School of ICT, University of Tasmania, Tasmania, Australia
    2024 – Present

    • Conducting tutorials for KIT101, KIT108, and KIT213.
  • Lecturer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Feb 2021 – 2023

    • Conducting lectures for Computer Engineering degree.
  • Lab Engineer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Sep 2017 – Feb 2021

    • Conducting labs for Computer Engineering degree.
  • Junior Software Developer Intern
    Egnie Next, Lahore, Pakistan
    Jul 2015 – Aug 2015

    • Designing front-end pages and connecting them with the back end.

Achievements & Awards 🏆

  • Higher Education Commission (HEC) Need-Based Scholarship
    For BS Students, University of Engineering & Technology (UET), Taxila, Pakistan
    (2013-2017)
  • Chief Minister UJALA Scheme for Bright Intermediate Students
    Govt. Post Graduate College, Chishtian, Pakistan
    (2011-2013)

Publication Top Notes:

Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks

H∞ performance tracking and group consensus of delayed multiagent systems under attack

Adaptive Sliding Mode Resilient Control of Multi-Robot Systems with a Leader–Follower Model under Byzantine Attacks in the Context of the Industrial Internet of Things

Frequency domain consensus control analysis of the networked multi-agent system with controller area network bus–induced delay

Mr. Seung Heon Lee | Electrical Machine Awards | Best Researcher Award

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Mr. Seung Heon Lee | Electrical Machine Awards | Best Researcher Award 

Mr. Seung Heon Lee, Gachon University, South Korea

Seung-Heon Lee is a dedicated electrical engineer currently pursuing a Ph.D. in Next Generation Energy System Convergence at Gachon University in Seongnam, Korea. He earned his Bachelor of Science degree in Electrical Engineering from Gachon University in 2022 and subsequently completed his Master of Science in Next Generation Energy System Convergence in 2024. Seung-Heon’s research interests focus on the design and analysis of motors and generators, exploring their applications in vehicles, home appliances, and industrial electrical machinery. With a strong academic background and a commitment to advancing energy systems, he aims to contribute to innovative solutions in the field of electrical engineering.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Seung-Heon Lee

Research Contributions
Seung-Heon Lee is a promising researcher in the field of electrical engineering, specifically focusing on next-generation energy systems. He has made significant contributions through his publications, demonstrating a robust understanding of motor and generator design and analysis. His work includes

🎓 Education:

  • B.S. in Electrical Engineering
    Gachon University, Seongnam, Korea
    Year: 2022
  • M.S. in Next Generation Energy System Convergence
    Gachon University, Seongnam, Korea
    Year: 2024
  • Ph.D. in Next Generation Energy System Convergence (ongoing)
    Gachon University, Seongnam, Korea
    Since 2024

💼 Work Experience:

  • Research Assistant
    Gachon University, Seongnam, Korea
    Role: Involved in research projects related to the design and analysis of motors and generators.
    Duration: 2022 – Present

🏆 Achievements:

  • Contributed to innovative research in energy systems with a focus on practical applications in vehicles, home appliances, and industrial machinery.
  • Published several papers in reputable journals related to electrical engineering and energy systems.

🏅 Awards and Honors:

  • Best Paper Award at the Gachon University Engineering Conference
    Year: 2023
    (For outstanding research in the field of electrical engineering and energy systems)
  • Scholarship Recipient for Academic Excellence
    Gachon University
    Year: 2021

Publication Top Notes

Optimal Rotor Design for Reducing Electromagnetic Vibration in Traction Motors Based on Numerical Analysis

A Novel Sleeve Design to Reduce the Eddy Current Loss of High-Speed Electrical Machines

A study on the shape of polar anisotropic magnetizing yoke to reduce dead zone of ring magnet

Performance comparison analysis and process suggestion through slotless SPMSM during high-speed operation

Elnaz Yaghoubi | power system analysis | Best Researcher Award

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Elnaz Yaghoubi | Power System Analysis | Best Researcher Award

Dr. Elnaz Yaghoubi, karabuk university, Turkey.

Elnaz Yaghoubi is a dedicated Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, boasting a stellar GPA of 4.0. Her research specializes in power system analysis, microgrids, and renewable energy. Elnaz holds an M.Sc. in Electrical Engineering from Islamic Azad University, also achieving a perfect GPA. She has worked as an engineering expert at Iran’s Telecommunication Company and is an active member of the PEDAR research group, contributing to innovative projects in smart grid technology. With a passion for advancing energy solutions, Elnaz is a rising star in her field. 🌟📚⚡

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D. in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0 🎓
  • M.Sc. in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0 🎓
  • B.Sc. in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0 🎓
  • Associate’s Degree in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0 🎓
  • Principle Researcher
    PEDAR Group (2023-Present) 🧑‍🔬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021) 📊
  • Data Network Design
    Telecommunication Company, Iran (2015-2017) 🔌

 

Suitability for Best Researcher Award:

Dr. Elnaz Yaghoubi is an exemplary candidate for the Best Researcher Award in the field of Electronic and Electrical Engineering due to her academic excellence, impactful research contributions, and professional experience.

Professional Development:

Elnaz Yaghoubi is continually enhancing her skills and expertise through various professional development avenues. She possesses strong programming skills in MATLAB and C++ and is currently expanding her knowledge in Python and Linux Essentials. With experience in machine learning and deep learning techniques, she actively engages in research and development within the PEDAR research group. Her proficiency in software tools like AutoCAD and Proteus, alongside certifications in network and security fundamentals, underlines her commitment to staying at the forefront of technological advancements in power systems. 📈💻🔍

Research Focus:

Elnaz Yaghoubi’s research primarily revolves around power system analysis, focusing on optimizing power management in microgrids and smart grids. She explores renewable energy solutions and the integration of distributed generation methods to enhance energy efficiency. Additionally, Elnaz delves into model predictive control (MPC) for advanced power control strategies, emphasizing cyber security in energy systems. Her work with artificial neural networks and machine learning further supports innovative solutions in the field. Elnaz’s commitment to addressing contemporary energy challenges makes her a pivotal figure in advancing smart energy technologies. 🔋🌍🔧

Awards and Honors:

  • Perfect GPA Award (Karabuk University) 🎖️
  • Outstanding Research Contribution Award (Islamic Azad University) 🏆
  • Best Paper Award (Conference on Renewable Energy Solutions) 📜
  • Excellence in Engineering Award (Telecommunication Company, Iran) 🌟
  • Leadership in Research Award (PEDAR Group) 🏅

Publication top Notes:

  • State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques 🌐
    Cited by: 85 | Year: 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems 🔋
    Cited by: 15 | Year: 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 📡
    Cited by: 12 | Year: 2021
  • Reducing the vulnerability in microgrid power systems ⚡
    Cited by: 11 | Year: 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison 🚗
    Cited by: 10 | Year: 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 📊
    Cited by: 10 | Year: 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior ⚙️
    Cited by: 9 | Year: 2024