Dr. Ramona Birau | Sensing Technology Awards | Best Overall Sensing Technology Award

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Dr. Ramona Birau | Sensing Technology Awards | Best Overall Sensing Technology Award

Dr. Ramona Birau, University of Craiova, Romania

Ramona BIRĂU is an accomplished academic and professional in the field of public finance and treasury, with over 15 years of experience. She currently serves as an Executive Director at the General Regional Directorate of Public Finances in Craiova, focusing on Treasury and Public Accounting, while also working as a University Lecturer at “Constantin Brâncuşi” University of Târgu-Jiu. Additionally, she is a Doctoral Supervisor in Finance at the University of Craiova. Ramona has held various prestigious positions, including Trainer for the course “Improving Treasury and Public Accounting in the Era of Digitalization” at the National Agency for Fiscal Administration (ANAF). Her academic journey has been marked by outstanding achievements, including a PhD in Sociology, a Master’s in Public Administration, and another in Financial and Organizational Evaluation, alongside her certification in pedagogy. Throughout her career, she has contributed significantly to the field with extensive teaching, research, and practical experience in both education and state treasury management. Ramona’s work is marked by a strong commitment to enhancing public financial systems, academic excellence, and the integration of modern technological advancements in financial management.

Professional Profile:

ORCID

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Overall Sensing Technology Award: Ramona BIRĂU

Ramona BIRĂU stands out as an exceptional candidate for the Best Overall Sensing Technology Award due to her multidisciplinary expertise, leadership in research, and her contributions to advanced fields such as financial modeling, econometrics, and public administration, which can be applied to the development of sensing technologies in various sectors.

Education 🎓

  • PhD in Sociology
    University of Craiova, Faculty of Social Sciences
    October 2017 – July 2020
    Applied Econometric Models, Sociological Research, Economic Sustainability, Sociological Surveys

  • Bachelor’s Degree in Law
    Spiru Haret University, Faculty of Legal, Economic, and Administrative Sciences, Craiova
    October 2017 – July 2020
    Criminal Law, Judicial Sociology, International Protection of Human Rights

  • Master’s Degree in European Public Administration
    “Constantin Brâncuşi” University, Târgu-Jiu
    October 2014 – September 2016
    Public Administration, European Projects, Labor Law

  • PhD in Cybernetics and Statistics
    University of Craiova, Doctoral School of Economic Sciences
    October 2010 – December 2013
    Financial Econometrics, Financial Modeling, Public Finance

  • Master’s Degree in Financial and Organizational Evaluation
    University of Craiova, Faculty of Economics and Business Administration
    October 2008 – July 2010
    Statistics, Treasury Management, Risk Analysis
    Valedictorian, General Average Score: 10

  • Certificate in Pedagogy Level II
    University of Craiova, Department for Teacher Training
    October 2008 – July 2010
    Pedagogy, Didactics, Behavioral Analysis

  • Bachelor’s Degree in Finance and Banking
    University of Craiova, Faculty of Economics and Business Administration
    October 2005 – July 2008
    Public Finance, Banking Accounting, Financial Analysis
    Valedictorian, General Average Score: 10

  • Certificate in Pedagogy Level I
    University of Craiova, Department for Teacher Training
    October 2005 – July 2008
    Pedagogy, Didactics, Behavioral Analysis

  • Baccalaureate
    “Tudor Arghezi” National College, Târgu-Cărbunești
    September 2001 – July 2005
    Mathematics – Computer Science
    Graduation Score: 9.98

Work Experience 🧑‍💼

  • Trainer
    Tax School – National Agency for Fiscal Administration (ANAF) – Ministry of Finance
    2024 – Present
    Course: “Improving Treasury and Public Accounting in the Era of Digitalization”
    Appreciation Diploma issued by ANAF 🎓

  • Executive Director of Treasury
    General Regional Directorate of Public Finances Craiova, ANAF – Ministry of Finance
    2020 – Present
    Managing Treasury and Public Accounting Activities

  • University Lecturer (Full-time)
    “Constantin Brâncuşi” University of Târgu-Jiu, Faculty of Economic Sciences
    2014 – Present
    Teaching courses in finance and economics 📚

  • Doctoral Supervisor in Finance
    University of Craiova, Faculty of Economics and Business Administration
    2021 – Present
    Supervising doctoral research projects in finance 📖

  • Assistant Professor, PhD
    University of Craiova, Faculty of Economics and Business Administration
    2014 – 2015
    Teaching Statistics and Economic Informatics 📊

  • Inspector, Class I
    General Regional Directorate of Public Finances Craiova, ANAF – Ministry of Finance
    2008 – 2020
    Guidance and Verification of Local Treasury Activities 💼

  • University Assistant / Doctoral Candidate
    University of Craiova, Faculty of Economics and Business Administration
    2010 – 2012
    Teaching and conducting research in statistics 📓

Achievements 🏆

  • Appreciation Diploma
    National Agency for Fiscal Administration (ANAF), 2024
    Awarded for significant contribution to the “Improving Treasury and Public Accounting in the Era of Digitalization” course 📜

  • Valedictorian
    University of Craiova, Faculty of Economics and Business Administration
    General Average Score: 10
    Recognized for outstanding academic performance 🎖️

  • Top Graduation Score
    Baccalaureate Graduation Score: 9.98
    Recognized for excellence in academic achievements 🎓

Awards and Honors 🏅

  • Appreciation Diploma from ANAF
    Issued for exceptional contribution to professional development in the field of Treasury and Public Accounting, 2024

Publication Top Notes:

Sustainable solutions: using MCDM to choose the best location for green energy projects

Examining divorce risk through gender roles in Pakistan

Examining the nexus between cotton and kapas of MCX market on stock prices of textile industry in India using ARDL model

Exploring the factors influencing hesitation among textile industry weavers in adopting digital banking services in India

Exploring women entrepreneurs’ push-pull motives and challenges: empirical evidence in an emerging economy

Green HRM practices in textile sector of Pakistan and its impact on green innovation and environmental sustainability

Predicting financial distress in non-financial sector of Pakistan using PCA and logit

Prof. Zhiyong luo | Sensing Awards | Best Researcher Award

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Prof. Zhiyong luo | Sensing Awards | Best Researcher Award 

Prof. Zhiyong luo, Sun Yat-sen University/ECE, China

Dr. Luo Zhiyong is a professor and doctoral supervisor at Sun Yat-sen University, recognized as an exceptional talent under the university’s “Hundred Talents Plan”. He also serves as a dual-appointed doctoral supervisor at the Pengcheng National Laboratory and as a Distinguished Professor of the Shenzhen Pengcheng Peacock Program. Dr. Luo earned his Ph.D. in Communication and Information Systems from the University of Electronic Science and Technology of China (UESTC) in 2001. A senior member of both IEEE and the Institute of Asia Artificial Intelligence, he is also an active member of the satellite application committees of the Chinese Society of Astronautics and the China Institute of Communications. His research focuses on the collaboration of communication, sensing, and computing in 5G-A/6G, NTN integration, and artificial intelligence applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Dr. Luo Zhiyong

Dr. Luo Zhiyong, a professor and doctoral supervisor at Sun Yat-sen University, demonstrates exceptional qualifications for the Research for Best Researcher Award. With a comprehensive academic background, extensive contributions to research and innovation, and a proven track record in mentoring and leadership, Dr. Luo stands as a leading figure in the fields of 5G/6G communication systems, satellite networks, and artificial intelligence applications.

📘 Educational Background

  • B.Sc. (1990–1994): Electronic Measurement and Instrument.
  • M.Sc. (1994–1997): Circuits and Systems.
  • Ph.D. (1997–2001): Communication and Information Systems.

📚 Teaching Contributions

Dr. Luo imparts advanced knowledge through innovative courses, including:

  • 5G Mobile Communication System and Technology Application 📱.
  • Technology Development of 5G/6G Mobile Communication Systems.
  • Satellite Communication Networks and Technology 🛰️.
  • Experiment of Modern Mobile Communication Systems.
  • Satellite Communication and Positioning Technology 🌍.

🌟 Research Interests

Dr. Luo’s research focuses on cutting-edge topics such as:

  • 5G-A/6G communication and beyond.
  • Integration of Non-Terrestrial Networks (NTN).
  • Intelligent computing and AI applications.

🏅 Professional Achievements

  • Leadership in Major Projects:
    Dr. Luo has spearheaded over 30 national and provincial research initiatives, including:

    • The National Key Areas Research and Development Plan.
    • The 863 Plan.
    • The IoT Plan of the Ministry of Industry and IT.
    • The Broadband Wireless Network Project.
  • Key Applications: His groundbreaking work on software radio, satellite communication, digital trunking communication, and Beidou navigation has been successfully applied in various industries 🛰️.
  • Awards & Recognition:
    • First Prize for Science and Technology Progress of Guangdong Province 🏆.
    • Gold and Bronze Awards for China Satellite Navigation and Positioning Innovation.
    • Contribution Award for Asian Games Communication Work.
    • Science and Technology Progress Award from the Chinese Light Industry Alliance.
  • Publications & Patents:
    • Published hundreds of papers in SCI/EI-indexed journals.
    • Filed dozens of invention patents with 28 authorized patents 🧪.

Publication Top Notes

An Energy-Efficient Scheme Design for NOMA-Based UAV-Assisted MEC Systems

A self-attention based dynamic resource management for satellite-terrestrial networks

An LDPC-RS Concatenation and Decoding Scheme to Lower the Error Floor for FTN Signaling

A Design Method and Application of Meta-Surface-Based Arbitrary Passband Filter for Terahertz Communication

A Millimeter-Wave Broadband Multi-Mode Substrate-Integrated Gap Waveguide Traveling-Wave Antenna with Orbit Angular Momentum

Constellation Constraint-based Superposed 32QAM Scheme for NOMA System

Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

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Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

Prof. Alina Nechyporenko, Technische Hochschule Wildau, Germany

Dr. Alina Nechyporenko is an accomplished scientist and professor specializing in pattern recognition, biomedical signal processing, and data mining. Currently, she serves as a Scientist and Reader at the Technical University of Applied Sciences Wildau, Germany, where she works in the Department of Molecular Biotechnology and Functional Genome Analysis. She has also been a Professor at Kharkiv National University of Radio Electronics in Ukraine since 2018, contributing to the Faculty of Computer Science and the Department of Systems Engineering. Dr. Nechyporenko has over 70 publications in peer-reviewed journals and holds five patents. She is an expert evaluator for ISO/TC 276 Biotechnology and has been involved in several high-impact research projects, including Horizon2020, COST actions, and Erasmus+ initiatives. Her current research focuses on biomedical research, machine learning, and data management, with significant contributions to European life-science research and microbiome studies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Alina Nechyporenko is a highly accomplished researcher in the fields of Pattern Recognition, Biomedical Signal Processing, and Machine Learning, with an extensive academic and professional background. She has demonstrated significant contributions to biomedical research, particularly in the application of data mining and computational techniques in cancer therapy, microbiome research, and deep learning. Given her work and leadership in her respective fields, she is highly suitable for the Best Researcher Award.

Education and Training

  • Expert in Evaluation Competences
    • Member of ISO/TC 276 Biotechnology, WG 2, WG 5, and national TC 166 “Clinical laboratory studies and systems for in vitro diagnostics.”
    • Technical Committee and Reviewer for the UKRCON IEEE conference.
  • Ph.D. in Computer Science
    • Specialization in Biomedical Signal Processing and Pattern Recognition
    • Thesis focused on data management and machine learning applications.
  • Publications and Patents
    • Over 70 publications in peer-reviewed scientific journals
    • Holder of 5 patents related to biomedical and computational applications.

Work Experience

2019 – Present

  • Scientist and Reader for Pattern Recognition, Biomedical Signal Processing
    • Technical University of Applied Sciences Wildau, Germany
    • Conducting research in areas such as data mining, machine learning, and data management within the Department of Molecular Biotechnology and Functional Genome Analysis.
    • Participates in Horizon2020 grant agreement ID: 654156 (RItrain – Research Infrastructures Training Programme), COST CA15110 (Harmonising standardisation strategies in European life-science research), and Erasmus + Capacity-building projects.
    • Engaged in COST CA18131 (Statistical and machine learning techniques in human microbiome studies) and DAAD “Digital Ukraine: Ensuring academic success in times of crisis” projects (2022 – 2025).

Since 2018

  • Professor
    • Kharkiv National University of Radio Electronics, Ukraine
    • Faculty of Computer Science & Department of Systems Engineering
    • Involved in teaching and research, focusing on pattern recognition, data processing, and systems engineering.

Publication top Notes:

Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy

Comparison of CNN-Based Architectures for Detection of Different Object Classes

Comparison of CNN-Based Architectures for Detection of Different Object Classe

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition

Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation

Prof. Dr. Mufti Mahmud | Healthcare Awards | Best Researcher Award

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Prof. Dr. Mufti Mahmud | Healthcare Awards | Best Researcher Award 

Prof. Dr. Mufti Mahmud, King Fahd University of Petroleum and Minerals, Saudi Arabia

Dr. Mufti Mahmud is a renowned Professor of Cognitive Computing, currently serving in the Department of Information and Computer Science at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia. With a rich academic and research background, he specializes in artificial intelligence, cognitive computing, data analytics, neuroscience, and ethics, with a commitment to developing safe and trustworthy AI systems. Dr. Mahmud has been recognized as one of the world’s top 2% cited scientists in computer science and has authored over 350 peer-reviewed publications across journals, conferences, and books. He has also received prestigious accolades, including the Marie-Curie Postdoctoral Fellowship and the Vice Chancellor’s Outstanding Researcher Award from Nottingham Trent University. His interdisciplinary research, which he terms ‘Brain Informatics,’ merges applied data science, big data analytics, healthcare, computational neuroscience, cybersecurity, and machine learning to advance health-care access, particularly in low-resource settings. Dr. Mahmud has held significant roles at institutions like Nottingham Trent University, the University of Padova, and the University of Antwerp, where he contributed to high-impact research and guided numerous students and junior researchers. In addition, he serves as the Chief Editor for the “Applied Intelligence and Informatics” book series and as an editor for several prominent journals. Dr. Mahmud’s work continues to bridge the interface of technology and healthcare, making meaningful contributions to both fields.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. Mufti Mahmud stands out as an exceptional candidate for the Best Researcher Award due to his deep expertise, extensive contributions, and influential impact in the fields of artificial intelligence, data analytics, cognitive computing, and neuroscience. His commitment to advancing safe and ethical AI technologies that prioritize healthcare access and quality of life, particularly in low-resource settings, reflects his dedication to meaningful and responsible innovation.

Education:

  • Nottingham Trent University, Nottingham, UK
    • Post-Graduate Certificate in Academic Practice (Fellowship of Higher Education Academy), 09/2018 – 05/2020
  • University of Padova, Padova, Italy
    • Ph.D. in Information Engineering (Bioengineering Curriculum), 01/2008 – 03/2011
  • University of Trento, Trento, Italy
    • M.S. in Nano and Micro Electromechanical Systems (NEMS/MEMS), 10/2006 – 02/2008
  • University of Mysore, Mysore, India
    • M.Sc. in Computer Science, 07/2001 – 06/2003
  • University of Madras, Madras, India
    • B.Sc. in Computer Science, 07/1998 – 06/2001

Work Experience:

  • King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
    • Professor of Cognitive Computing in the Information and Computer Science Department, 10/2024 – Present
      • Conducts research in safe AI, emphasizing methodologies for AI system reliability, fairness, and transparency. Generates research income through grants, publishes in top journals, and supervises students and mentors colleagues.
  • Nottingham Trent University, Nottingham, UK
    • Director of Cognitive Computing and Brain Informatics Research Group, 08/2022 – 10/2024
    • Associate Professor in Cognitive Computing, 08/2021 – 10/2024
    • (Senior) Lecturer of Computer Science, 04/2018 – 07/2021
      • Focused on safe AI, leading B11 REF Unit of Assessment, organizing seminars, securing competitive research grants, and supervising students.
  • University of Padova, Padova, Italy
    • Senior Postdoctoral Researcher, NeuroChip Lab, Department of Biomedical Sciences, 03/2015 – 03/2018
    • Postdoctoral Researcher, 01/2011 – 01/2013
    • Research Assistant, 01/2008 – 12/2010
      • Led research on in-vivo neuronal networks with high-resolution CMOS chips, securing grants, publishing research, and mentoring students.
  • University of Antwerp, Antwerp, Belgium
    • Marie-Curie Experienced Researcher in Theoretical Neurobiology & Neuroengineering Lab, 02/2013 – 01/2015
      • Conducted research on in-vitro neural networks using MEA, secured research funding, published in prominent journals, and supervised students.
  • Jahangirnagar University, Dhaka, Bangladesh
    • Assistant Professor at the Institute of Information Technology, 09/2011 – 01/2016
      • Applied for grants, supervised student research, published findings, and designed curricula for doctoral and professional master’s programs.
  • Molecular Stamping S.r.l., Trento, Italy
    • Intern, 06/2007
CITED:889
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CITED:282

Dr. Marietta Fodor | Spectral Sensing Awards | Best Researcher Award

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Dr. Marietta Fodor | Spectral Sensing Awards | Best Researcher Award

Dr. Marietta Fodor, Hungarian University of Agriculture and Life Sciences, Hungary

Dr. Marietta Fodor is an esteemed associate professor at the Hungarian University of Agriculture and Life Sciences, within the Institute of Food Science and Technology. She holds a chemical engineering degree from the Budapest University of Technology (1982), a Doctor of Biological and Food Industry Technology degree (1993), a PhD in Food Science (2004), and a Habilitation (2012) from Corvinus University of Budapest. With a deep focus on non-destructive molecular spectroscopy methods, particularly Fourier transform near-infrared spectroscopy (FT-NIR), Dr. Fodor’s research involves multivariate regression models, pattern recognition, adulteration analysis, and the rapid quantification of nutritional parameters in food. Over the course of her career, she has authored more than 170 publications with around 500 references, earning an H-index of 12. Her expertise in chemometric data processing and food chemistry continues to contribute significantly to the advancement of food science and analytics.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Marietta Fodor

Marietta Fodor, an Associate Professor at the Hungarian University of Agriculture and Life Sciences, is highly suitable for the Best Researcher Award due to her exceptional academic background, research contributions, and professional achievements.

Education:

  • Chemical Engineer (1982)
    Budapest University of Technology (BME), Faculty of Chemical Engineering, Department of Organic and Biological Chemistry
  • University Doctor of Biological and Food Industry Technology (1993)
    Budapest University of Technology (BME), Faculty of Chemical Engineering
  • PhD in Food Science (2004)
    Corvinus University of Budapest
  • Habilitation (2012)
    Corvinus University of Budapest

Work Experience:

  • Associate Professor
    Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Faculty, Department of Food Chemistry and Analytics
    (Current Position)
    Marietta Fodor currently holds the position of Associate Professor, contributing to teaching and research in the field of food science, with a focus on non-destructive molecular spectroscopy methods, particularly Fourier transform near-infrared spectroscopy (FT-NIR).

Her academic career includes extensive research in chemometrics, pattern recognition, and rapid quantification of food parameters, alongside her significant contribution to the development of multivariate regression models and adulteration analysis in food science.

Publication top Notes:

The Role of Near-Infrared Spectroscopy in Food Quality Assurance: A Review of the Past Two Decades

Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products

Comparison of Multiple NIR Spectrometers for Detecting Low-Concentration Nitrogen-Based Adulteration in Protein Powders

Analysis of Polyphenol Patterns of Pleurotus ostreatus Cultivars by UHPLC-ESI-MS/MS; Application of FT-NIR and Chemometric Methods, Classification Options

Assessment of Maturity of Plum Samples Using Fourier Transform Near-Infrared Technique Combined with Chemometric Methods

Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

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Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

Dr. Rebecca Robbins, Harvard Medical School, Brigham and Women’s Hospital, United States

Dr. Rebecca Robbins is an esteemed Assistant Professor at Harvard Medical School and the T.H. Chan School of Public Health, with a notable focus on sleep, circadian disorders, and health communication. She earned her BS in Hotel Administration with a concentration in Business and Finance from Cornell University in 2009, followed by an MS and PhD in Health Communication and Health Marketing from the same institution. In 2022, she completed a second MSc in Medical Sciences from Harvard Medical School. Dr. Robbins has completed extensive postdoctoral training, including research in population health at NYU School of Medicine and sleep and respiratory neurobiology at Brigham and Women’s Hospital, Boston.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Rebecca Robbins is an excellent candidate for the Best Researcher Award at Harvard Medical School, given her remarkable career trajectory, expertise in sleep research, and significant contributions to public health.

Education:

  • 2009: BS in Hotel Administration, Business & Finance, Cornell University, Ithaca, NY
  • 2013: MS in Health Communication & Health Marketing, Cornell University
  • 2015: PhD in Health Communication & Health Marketing, Cornell University (advised by Drs. Jeff Niederdeppe, Brian Wansink, James Maas, and Sahara Byrne)
  • 2022: MSc in Medical Sciences (Clinical Investigation), Harvard Medical School, Boston, MA

Postdoctoral Training:

  • 05/2015 – 08/2019: Postdoctoral Fellow, Population Health & Health Disparities Research, NYU School of Medicine, New York, NY (mentored by Dr. Girardin Jean-Louis)
  • 08/2019 – 10/2020: Postdoctoral Research Fellow, Sleep, Circadian and Respiratory Neurobiology, Brigham and Women’s Hospital (BWH), Boston, MA & Harvard Medical School (HMS), Boston, MA (mentored by Dr. Charles Czeisler)

Faculty Academic Appointments:

  • 11/2020 – Present: Instructor of Medicine, Harvard Medical School
  • 03/2023 – Present: Assistant Professor of Medicine, Harvard Medical School
  • 01/2024 – Present: Assistant Professor at the T.H. Chan School of Public Health, Harvard University

Appointments at Hospitals:

  • 11/2020 – Present: Associate Scientist, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital (BWH)

Publication top Notes:

Estimating Community Disruption from Nighttime Gunshots in 6 U.S. Cities, 2015 to 2021

Exploring sleep difficulties, alcohol, illicit drugs, and suicidal ideation among adolescents with a history of depression

Author Response: Sleep Apnea and Incident Stroke in a National Cohort of Black and White Adults

Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults

Pioneering a multi-phase framework to harmonize self-reported sleep data across cohorts