Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

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Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

👨‍🎓 Profile

🧠 Early Academic Pursuits

Dr. Mohammad Reza Ahangari’s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

💼 Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

🔬 Contributions and Research Focus

Dr. Ahangari’s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

🏆 Accolades and Recognition

Dr. Ahangari’s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

🌟 Impact and Influence

Dr. Ahangari’s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

🌱 Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

📖 Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

    • Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
    • Journal: Journal of Alloys and Compounds
    • Year: 2024

A generalized optimization-based generative adversarial network

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
    • Journal: Expert Systems with Applications
    • Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
    • Journal: Mathematics
    • Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

    • Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
    • Journal: Electrochimica Acta
    • Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

    • Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
    • Journal: Journal of Cleaner Production
    • Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-δ perovskite oxides as a supercapacitor electrode material

    • Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
    • Journal: Journal of Energy Storage
    • Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

    • Authors: Ahangari, M., Mahmoodi, E., Delibaş, N., Asghari, E., Niaei, A.
    • Journal: Turkish Journal of Chemistry
    • Year: 2022

Sadoon Abdallah | Data Analysis | Best Researcher Award

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Dr. Sadoon Abdallah | Data Analysis | Best Researcher Award

Doctorate at University of Anbar, Iraq

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

🌟 Academic Background

Dr. Abdallah is a seasoned lecturer in Civil Engineering, specializing in building and construction materials as well as construction management. With significant experience in collaborating with sponsors, stakeholders, and solution providers, he emphasizes sustainable construction technologies and their practical applications. His research interests include construction waste management and valorisation. Dr. Abdallah is recognized for his meticulous organization, analytical skills, and ability to perform under pressure, ensuring high-quality project delivery within budget.

🎓 Education

  • PhD in Civil and Environmental Engineering from Brunel University London, UK (Oct 2013 – Nov 2017). His research focused on bonding mechanisms and strength of steel fibre reinforced cementitious composites (SFRCCs).
  • MSc (Hons) in Structural Engineering from University Sains Malaysia (USM), Malaysia (Jul 2010 – Apr 2012). His dissertation explored the use of waste glass as a fine aggregate replacement in concrete blocks.
  • BSc (Hons) in Civil Engineering from University of Anbar, Iraq (Sept 2002 – Jun 2006). His final year dissertation studied the effect of aggregate size on the mechanical properties of concrete.

💼 Employment History

  • Lecturer/Head of Studies and Planning Unit at University of Anbar, Iraq (Oct 2018 – Present). Dr. Abdallah teaches various modules, develops innovative teaching practices, engages in research, and maintains professional relationships.
  • Area Manager at Relief International, Iraq (Jan 2018 – Sep 2018). He managed operations, ensured safety, and facilitated communication with local governments and donors.
  • Teaching Assistant/Research Associate at Brunel University London, UK (Oct 2013 – Jan 2018). He prepared lectures, assisted in experimental programs, and evaluated student work.
  • National Project Assistant with FAO and UNIDO, Iraq (Oct 2009 – Dec 2010). He supported project management and implementation.
  • Supervisor Engineer at USAID/Management System International (MSI), Iraq (Apr 2008 – Jun 2009). Responsibilities included project planning, team management, and compliance with standards.
  • Site Engineer at International Relief & Development (IRD) Organization, Iraq (Nov 2007 – Mar 2008). He oversaw civil engineering projects and coordinated contractor work.

🏅 Awards

  • Dean’s Prize for Innovation and Impact from Brunel University London, UK (2017).
  • Vice-Chancellor’s Travel Prize for Postgraduate Research from Brunel University London, UK (2016).

🔬 Professional Activities

Dr. Abdallah serves as a peer reviewer for leading journals including Construction and Building Materials, Waste Management, and Structural Concrete.

🏛️ Memberships

  • Member of the Institution of Civil Engineers (ICE), UK.
  • Member of Brunel University Civil Engineering Society, UK.
  • Member of the Iraqi Engineers Union, Iraq.

📖 Publications

Bonding mechanisms and strength of steel fiber–reinforced cementitious composites: Overview

  • Authors: S. Abdallah, M. Fan, D.W.A. Rees
  • Journal: Journal of Materials in Civil Engineering
  • Year: 2018

Characteristics of concrete with waste glass as fine aggregate replacement

  • Authors: S. Abdallah, M. Fan
  • Journal: International Journal of Engineering and Technical Research
  • Year: 2014

Bond-slip behaviour of steel fibres in concrete after exposure to elevated temperatures

  • Authors: S. Abdallah, M. Fan, K.A. Cashell
  • Journal: Construction and Building Materials
  • Year: 2017

Pull-out behaviour of hooked end steel fibres embedded in ultra-high performance mortar with various W/B ratios

  • Authors: S. Abdallah, M. Fan, X. Zhou
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2017

Anchorage effects of various steel fibre architectures for concrete reinforcement

  • Authors: S. Abdallah, M. Fan, X. Zhou, S. Le Geyt
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2016

Marcos Herkenhoff | Data Analysis | Best Researcher Award

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Dr. Marcos Herkenhoff | Data Analysis | Best Researcher Award

Doctorate at University of São Paulo, Brazil

 Profiles

Scopus Profile
Orcid Profile

Academic Background

Dr. Marcos Herkenhoff has a robust academic foundation in veterinary medicine and genetics. He earned his Doctorate in Veterinary Medicine from Santa Catarina State University (UDESC) in 2010, followed by a Master’s degree in Animal Science with a focus on animal production from the same institution in 2013. Dr. Herkenhoff further pursued his academic interests with a Ph.D. in Biological Sciences (Genetics) at São Paulo State University (UNESP-Botucatu), where he conducted significant research on the molecular characterization of heterotic hybrids in Nile tilapia. His postdoctoral research at the University of São Paulo (USP) centered on evaluating Catharina sour beer as a potentially probiotic drink, integrating multiomics techniques. Additionally, he has gained international experience through guest research roles at Technische Hochschule Wildau (TH Wildau) in Germany, where he specialized in proteome analysis of Nile tilapia hybrids. This extensive educational background equips him with a deep understanding of genetics, molecular diagnostics, and applied biotechnology.

Education

Dr. Marcos Herkenhoff completed his Doctorate in Veterinary Medicine at Santa Catarina State University (UDESC), where he laid the foundation for his career in veterinary science. He pursued further specialization with a Master’s degree in Animal Science (Animal Production) from the same institution, focusing on genetic variability in Brazilian free-range chickens. Dr. Herkenhoff continued his academic journey at São Paulo State University (UNESP-Botucatu), where he earned a Ph.D. in Biological Sciences with a thesis on molecular characterization of Nile tilapia hybrids. His postdoctoral studies at the University of São Paulo (USP) involved advanced research in food technology, particularly in developing a probiotic beer using multi-omics approaches. His academic background is complemented by international experience, including research at Technische Hochschule Wildau in Germany, enhancing his expertise in molecular diagnostics and genetic research.

Professional Experience

Dr. Herkenhoff has extensive experience in both academic and applied research settings. He was a founding partner and responsible veterinarian at Equus Group, specializing in equine genetics and athletic performance. His work also includes a postdoctoral fellowship in microbiology and molecular biology, exploring multi-omics techniques for brewing technology. He has served as an assistant professor at Universidade Sociedade Educacional de Santa Catarina (UNISOCIESC) and a guest researcher at Technische Hochschule Wildau, Germany.

Research Interests

Dr. Herkenhoff’s research spans multiple domains, including molecular diagnostics for humans and animals, population genetics of birds and fish, immunogenetics, miRNAs and gene regulation in aquatic species, and nutrigenomics. His innovative work in developing a non-alcoholic probiotic beer through combined omics approaches underscores his commitment to advancing both animal and human health through science.

📖 Publication

Cashew By-Product as a Functional Substrate for the Development of Probiotic Fermented Milk Foods

    • Authors: Marcos Edgar Herkenhoff, Igor Ucella Dantas de Medeiros, Luiz Henrique Grotto Garutti, Mateus Kawata Salgaço, Katia Sivieri, Susana M.I. Saad
    • Journal: Foods
    • Year: 2023

Genetic Structure and Biodiversity in Wild Centropomus parallelus and in Wild and Recently Domesticated Centropomus undecimallis Populations

    • Authors: Marcos Edgar Herkenhoff, Bajay MM, Carlos André da Veiga Lima-Rosa Costamilan
    • Journal: Life
    • Year: 2023

Sour Beer with Lacticaseibacillus paracasei subsp. paracasei F19: Feasibility and Influence of Supplementation with Spondias mombin L. Juice and/or By-Product

    • Authors: Ana Beatriz Praia, Marcos Edgar Herkenhoff, Oliver Broedel, Marcus Frohme, Susana M.I. Saad
    • Journal: Foods
    • Year: 2022

Variant Expression Signatures of MicroRNAs and Protein Related to Growth in a Crossbreed Between Two Strains of Nile Tilapia (Oreochromis niloticus)

    • Authors: Marcos Edgar Herkenhoff, Laura A. Bovolenta, Oliver Broedel, Luis D. dos Santos, André C. de Oliveira, Luana G.A. Chuffa, Adriana D.O. Ribeiro, Leonardo A. Lupi, Marcelo A.D. Dias, Alexandre W.S. Hilsdorf, et al.
    • Journal: Genomics
    • Year: 2021

Vitamin D Modulates Intestinal Microbiota in Inflammatory Bowel Diseases

    • Authors: Carolina Battistini, Rafael Ballan, Marcos Edgar Herkenhoff, Susana M.I. Saad, Jun Sun
    • Journal: International Journal of Molecular Sciences
    • Year: 2020

Prevalence of Anaplasma marginale, Babesia bovis, and Babesia bigemina in Cattle in the Campos de Lages Region, Santa Catarina State, Brazil, Estimated by Multiplex-PCR

    • Authors: Gabriel B. De Oliveira, André C. A. Gama, Marcos Edgar Herkenhoff, João C. P. Mattoso, Vinícius G. Pereira, Ronaldo D. R. Guimarães, Ana P. Castro, Fernanda A. F. Tavares, Mariana T. M. J. Lima, Susana M.I. Saad
    • Journal: Parasite Epidemiology and Control
    • Year: 2019

Lin Yuanbo Wu – Data analytics – Women Researcher Award

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Assoc Prof Dr. Lin Yuanbo Wu - Data analytics - Women Researcher Award 

Department of Computer Science - United Kingdom

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Lin Yuanbo Wu's academic journey commenced with a strong foundation in computer science, evident from his early contributions and endeavors. Throughout his academic pursuit, Lin Wu demonstrated a keen interest in interdisciplinary research, delving into areas such as computer vision, machine learning, and artificial intelligence. His undergraduate studies provided him with a comprehensive understanding of core computer science principles, laying the groundwork for his future research endeavors.

Contributions and Research Focus On Data analytics

Assoc Prof Dr. Lin Wu's early research focused on fundamental concepts in computer vision and image processing. He explored innovative approaches for tasks such as image forgery detection, camera calibration, and object recognition. His contributions in these areas showcased his ability to apply theoretical knowledge to real-world problems, highlighting his commitment to advancing the field of computer science through practical applications.

Accolades and Recognition

Assoc Prof Dr. Lin Yuanbo Wu's early academic endeavors were met with recognition and accolades, underscoring the significance of his contributions to the academic community. Awards such as the Best Research Paper Runner-Up at the Pacific Asian Knowledge Discovery and Data Ming conference and the Award for Growth at the EUREKA International Innovation and Entrepreneurship Competition underscored his exceptional research capabilities and innovative thinking.

Impact and Influence

Assoc Prof Dr. Lin Wu's early research laid the groundwork for his subsequent achievements and established him as a notable figure in the field of computer science. His work in image forgery detection and camera calibration contributed to advancements in security and surveillance technologies, demonstrating his ability to address real-world challenges through innovative solutions.

Legacy and Future Contributions

Assoc Prof Dr. Lin Yuanbo Wu's early academic pursuits set the stage for a prolific research career characterized by groundbreaking contributions to computer vision, machine learning, and artificial intelligence. His legacy is one of innovation, collaboration, and excellence, inspiring future generations of researchers to push the boundaries of knowledge and technology. As he continues his academic journey, Lin Wu remains committed to addressing complex challenges and driving positive change through his research endeavors.

Citations

  • Citations   4847
  • h-index       32
  • i10-index    50

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