Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award

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Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award 

Prof. Dr. Nadia Cheemaa, University of South China, Pakistan

Dr. Nadia Cheema is an Associate Professor in the Department of Mathematics and Physics at the University of South China, Hengyang, Hunan, China. She earned her Ph.D. in Applied Mathematics from the Harbin Institute of Technology, China, as a recipient of the prestigious China Scholarship Council (CSC) fully-funded scholarship. She also holds an M.S. in Applied Mathematics and a B.Sc. (Hons) in Mathematical Sciences from Government College University, Lahore, Pakistan, where she was awarded a gold medal for her academic excellence. Her research interests include the analytical and numerical study of complex dynamical systems, particularly in areas such as quantum mechanics, nonlinear optics, molecular biology, and plasma physics. Dr. Cheema is renowned for her work on solitary wave solutions and nonlinear dispersive wave equations.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Nadia Cheemaa

Dr. Nadia Cheemaa demonstrates exceptional qualifications and contributions to her field, making her a strong candidate for the Best Researcher Award. Below is an assessment of her suitability based on her academic background, research contributions, and professional accomplishments:

📚 Education

  • 🎓 Ph.D. in Applied Mathematics
    Harbin Institute of Technology, Harbin, China (09/2017 – 07/2022)
  • 🎓 MS in Applied Mathematics
    Government College University, Lahore, Pakistan (09/2012 – 07/2014)
  • 🎓 B.Sc. (Hons) in Mathematical Sciences
    Government College University, Lahore, Pakistan (07/2007 – 07/2011)
  • 📜 B.Ed.
    Allama Iqbal Open University, Islamabad, Pakistan (01/2014)

💼 Work Experience

  • 👩‍🏫 Associate Professor
    Department of Mathematics and Physics, University of South China, Hengyang, Hunan, China (May 2023 – Present)
  • 👩‍🏫 Lecturer of Mathematics (Permanent)
    Minhaj International University, Lahore, Pakistan (01/2015 – 07/2016)
  • 👩‍🏫 Lecturer of Mathematics (Visiting)
    Government College University, Lahore, Pakistan (07/2016 – 07/2017)
  • 👩‍🏫 Lecturer of Mathematics (Permanent)
    Riphah International University, Lahore, Pakistan (02/2017 – 07/2017)
  • 🧑‍🏫 Senior Subject Teacher (SST, BS-16)
    Government High School Abdal, Gujranwala, Pakistan (07/2012 – 11/2014)

🏆 Honors / Awards / Achievements

  • 🥇 Fully Funded Scholarship for Ph.D.
    Awarded by the China Scholarship Council (CSC).
  • 🥇 Fully Funded Scholarship for M.Phil.
    Awarded by Government College University, Lahore (Gold Medal Scholarship).
  • 🏅 Gold Medalist
    Achieved first position in B.Sc. (Hons) Mathematics at Government College University, Lahore.
  • 📜 Academic Roll of Honor
    Recognized for excellence in B.Sc. (Hons) Mathematics with a CGPA of 3.50.
  • 💻 Merit-Based Laptop Award
    Received under the Shahbaz Sharif Scheme for academic excellence in M.Phil. (CGPA: 3.53).
  • ✈️ Travel Grant for Ph.D. Studies
    Sponsored by the Higher Education Commission, Pakistan.

Publication Top Notes:

Nonlinear fiber optics with water wave flumes: dynamics of the optical solitons of the derivative nonlinear Schrödinger equation

Optical soliton perturbation with fractional temporal evolution by extended modified auxiliary equation mapping

Optical dromions and domain walls in (2+1)-dimensional coupled system

Chiral soliton solutions of perturbed chiral nonlinear Schrödinger equation with its applications in mathematical physics

Study of the dynamical nonlinear modified Korteweg–de Vries equation arising in plasma physics and its analytical wave solutions

A variety of exact solutions to (2+1)-dimensional schrödinger equation

Vasyl Martsenyuk | Data Science | Best Researcher Award

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Vasyl Martsenyuk | Data Science | Best Researcher Award

Prof. Vasyl Martsenyuk, University of Bielsko-Biala, Poland.

Prof. Vasyl Martsenyuk is a prominent academic in the field of Computer Science and Automation, currently serving as a Full Professor and Head of the Department at the University of Bielsko-Biała, Poland. With a strong background in data science, machine learning, and cybernetics, he has significantly contributed to educational reforms and various research projects in Europe. An active member of international academic communities, Prof. Martsenyuk has published extensively and engaged in numerous collaborations, fostering advancements in digital pedagogy and applied artificial intelligence. His dedication to education and research continues to inspire students and colleagues alike. 🎓🌍💻

Publication Profile

Scopus
Orcid

Education and Experience

Education:
  • Ph.D. in Technical Sciences (2005)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 📚
  • Diploma of Full Professor in Medical Informatics with Biophysics (2005)
    Ministry of Education and Sciences of Ukraine 🇺🇦
  • Candidate of Physical and Mathematical Sciences (Ph.D.) (1996)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 🎓
  • Diploma in Applied Mathematics (1993)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics, Ukraine 🧮
  • Diploma in Pharmacy (2010)
    Kharkiv National Pharmaceutical University, Ukraine 💊
Experience:
  • Full Professor & Head of Department (2020-Present)
    University of Bielsko-Biała, Department of Computer Science and Automation 🏫
  • Associate Professor (2015-2020)
    University of Bielsko-Biała, Department of Computer Science and Automation 👨‍🏫
  • Scientific Supervisor (2014-2016)
    Institute of Information Technologies and Learning Tools, National Academy of Pedagogical Sciences of Ukraine 🔬
  • Full Professor & Head of Medical Informatics Department (2005-2016)
    Ternopil Medical University, Ukraine 🏥
  • Vice-Rector (2005-2015)
    Ternopil Medical University, Ukraine 🎖️

Suitability For The Award

Prof. Vasyl Martsenyuk is a distinguished academic with a strong educational foundation, extensive professional experience, and significant contributions to computer science, medical informatics, and cybernetics. He has excelled in research areas such as data science, artificial intelligence, and system analysis, alongside leadership roles in academia and international projects. With numerous awards, publications, and innovative initiatives, he has demonstrated exceptional expertise and dedication. His impactful work and commitment to advancing knowledge make him highly deserving of the Best Researcher Award.

Professional Development

Prof. Martsenyuk has engaged in numerous international traineeships, focusing on advancements in digital pedagogy, applied artificial intelligence, and big data innovations. Notably, he participated in the Erasmus+ program and collaborated with institutions such as the University of Montenegro and Charles University in Prague. His efforts have emphasized fostering digital learning environments and enhancing educational methodologies in the fields of medicine and technology. These experiences reflect his commitment to continuous professional growth and adaptation to emerging technological trends in education. 🌐📚✨

Research Focus

Prof. Martsenyuk’s research centers on data science, encompassing machine learning, artificial intelligence, and big data analysis. He explores the application of reinforcement learning within cybernetics, focusing on control theory and system analysis. His mathematical investigations include functional-differential equations, population dynamics, and stability analysis. By integrating these disciplines, he aims to develop innovative solutions that advance scientific computing and enhance decision-making processes in complex systems. Prof. Martsenyuk’s work significantly contributes to the advancement of knowledge in computer science and its practical applications. 🔍📊🤖

Awards and Honors

  • Award of the Supreme Council of Ukraine (2007) 🏅
  • Award of the Prime Minister of Ukraine (2009) 🎖️

Publication Top Notes

  • A Method to Improve the Accuracy of Bridge Cranes Overload Protection Using the Signal Graph (2024) 📖
  • Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges (2024)
  • On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research (2024)
  • The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane (2024) 📖
  • Amperometric Biosensor Based on Glutamate Oxidase to Determine Ast Activity (2024) 📰
  • Аналітичний огляд підходів до проектування виробничих мереж (2024)
  • Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements (2024)

Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award

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Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award 

Dr. Nicoletta Bianchini, University of West London, United Kingdom

Nicoletta Bianchini is a dedicated PhD candidate in Civil Engineering, specializing in Seismic Engineering, with a robust background as an architect and bridge engineer. She holds a PhD from the University of Minho in Portugal, where her research focused on the seismic response of masonry cross vaults, utilizing shaking table tests and numerical analysis. Her academic journey includes an M.Sc. in Structural Analysis of Historic Constructions from the same institution, complemented by her previous studies in Building Engineering – Architecture at the University of Genoa, Italy.

Professional Profile:

ORCID

Summary of Suitability for Women Researcher Award

Overview: Dr. Nicoletta Bianchini is an accomplished researcher and engineer in the field of civil engineering, with a specific focus on seismic engineering and the preservation of historical structures. Her extensive educational background and diverse research experience make her a suitable candidate for the Research for Women Researcher Award.

Education

  1. University of Minho, Guimarães, Portugal
    • PhD Candidate in Seismic Engineering (Historic Masonry Structure group)
      • Dates: January 2019 – July 2023
      • Thesis: Evaluation of the seismic response of masonry cross vaults through shaking table tests and numerical analysis.
      • Advisors: Prof. Paulo Lourenço and Dr. Nuno Mendes
    • M.Sc. in Structural Analysis of Historic Constructions
      • Dates: September 2017 – July 2018
      • Final Grade: 19/20
      • Integrated Project: Carmo Convent in Lisbon: in situ inspection, structural analysis, and retrofitting.
      • Thesis: Conserving the Bagan (Myanmar) built heritage: Structural assessment of the Loka-Hteik-Pan Temple.
      • Advisor: Dr. Nuno Mendes
  2. Sapienza University, Rome, Italy
    • Structural Design from Empirical Tradition
      • Date: June 2017
      • Lectures by: Prof. T. Boothby (Pennsylvania State University)
  3. University of Genoa, Genoa, Italy
    • M.Sc. in Building Engineering – Architecture
      • Dates: September 2011 – March 2016
      • Thesis: From observed damage to vulnerability curves for masonry buildings: the case of L’Aquila 2009 earthquake.
      • Advisors: Prof. Sergio Lagomarsino, Prof. Serena Cattari, Dr. Daria Ottonelli

Work Experience

  1. AtkinsRéalis, Epsom, England
    • Position: Structural Engineer in Bridges & Civils Department
    • Dates: September 2023 – Present
    • Responsibilities:
      • Design bearing replacement schemes.
      • Assessment of existing masonry bridges and planning their strengthening interventions, as well as conducting in-situ tests.
      • Collaboration with colleagues, stakeholders, and clients.
  2. RELUIS, Rome and Central Italy
    • Position: Structural Engineer
    • Dates: October 2016 – June 2017
    • Responsibilities:
      • Conducted post-earthquake in situ surveys of monumental and historic buildings (e.g., churches, palaces) and strategic buildings (e.g., hospitals, schools) as part of state of emergency efforts across Central Italy.
      • Assessed the condition of damaged structures and the level of risk for people and surroundings.
      • Provided instructions to the Fire Department regarding provisional structural works to ensure a minimum level of safety.
      • Surveyed listed archaeological sites and monuments in Rome (e.g., Terme Caracalla, Santa Maria in Trastevere, Santa Maria del Popolo) to assess their damage and vulnerability.

Publication top Notes:

Shake-Table Testing of a Brick Masonry Groin Vault: Overview of Blind Predictions and Postdictions and Comparison with Experimental Results

Influence of wall-to-floor connections and pounding on pre- and post-diction simulations of a masonry building aggregate tested on a shaking table

Simulation of blind pre-diction and post-diction shaking table tests on a masonry building aggregate using a continuum modelling approach

Preservation and Protection of Cultural Heritage: Vibration Monitoring and Seismic Vulnerability of the Ruins of Carmo Convent (Lisbon)

Modelling of the Dynamic Response of a Full-Scale Masonry Groin Vault: Unstrengthened and Strengthened with Textile-Reinforced Mortar (TRM)

Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

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Prof Dr. Naoufal Lakhssassi | Prediction Award | Best Researcher Award

Prof Dr. Naoufal Lakhssassi, Hampton University, United States 

Dr. Naoufal Lakhssassi is an Assistant Professor at the School of Biological Sciences, Hampton University, where he leverages his expertise in plant genetics and genomics to enhance crop resistance and seed quality. With a Ph.D. in Cell and Molecular Biology from the University of Malaga, Spain, and a background in biomolecular engineering and microbiology, Dr. Lakhssassi has a distinguished career in plant research. His work has been recognized with several awards, including the Inventor of the Year Award from Southern Illinois University. His research focuses on developing soybean varieties with improved disease resistance and nutritional content. Dr. Lakhssassi holds multiple patents related to soybean genetics and has secured significant funding from agencies like the United Soybean Board and USDA-NIFA for projects aimed at advancing agricultural biotechnology.

Professional Profile:

 

Summary

Dr. Naoufal Lakhssassi’s innovative research, significant patents, successful grant applications, prestigious awards, and robust teaching background make him an excellent candidate for the Best Researcher Award. His contributions to plant genetics and biotechnology align with the criteria typically considered for such an award, showcasing both depth and breadth in his field.

Education

  • PhD in Cell and Molecular Biology, Plant Genetics, and Genomics
    Department of Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2007-2011
    Grade: Excellent (Cum-Laude)
  • Master in Biomolecular Engineering and Microbiology
    Department of Microbiology, Biochemistry and Molecular Biology, University of Malaga (UMA), Spain
    2008-2010
  • Diploma of Advanced Studies (Doctorado) in Cell and Molecular Fundamentals of Living Creatures
    Department of Microbiology, Plant Pathology, and Plant-Pathogen Interaction, University of Malaga (UMA), Spain
    2005-2007
  • Bachelor Degree in Biotechnology
    Department of Biology, Abdelmalek Essaâdi University (UAE), Tangier, Morocco
    2001-2005

Work Experience

  • Associate Scientist
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    May 2018 – Present
  • Research Assistant
    Southern Illinois University (SIU), Carbondale
    Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
    January 2018 – May 2018
  • Post-Doctoral Associate
    Southern Illinois University (SIU), Carbondale

    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2012 – March 2016
    • Department of Environmental and Civil Engineering, College of Engineering
      April 2016 – September 2016
    • Department of Plant Soil and Agricultural Systems, College of Agricultural Sciences
      October 2016 – September 2017

Publication top Notes:

Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN

Potential of Sorghum Seeds in Alleviating Hyperglycemia, Oxidative Stress, and Glycation Damage

Genomic Regions and Candidate Genes for Seed Iron and Seed Zinc Accumulation Identified in the Soybean ‘Forrest’ by ‘Williams 82’ RIL Population

Soybean gene co-expression network analysis identifies two co-regulated gene modules associated with nodule formation and development

Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage