Mohammad Alkaseem | Analytical Alchemy | Excellence in Research

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Dr. Mohammad Alkaseem, Analytical Alchemy, Excellence in Research

Doctorate at Owlstone Medical, United Kingdom

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🌟Summary

Mohammad Alkaseem is a dedicated research scientist specializing in analytical chemistry, known for his resilience and problem-solving skills despite physical challenges. He brings a unique perspective shaped by his journey, emphasizing perseverance and adaptability in his professional endeavors.

🎓Education

  • PhD in Pharmaceutical Sciences, Food Control, University of Damascus, Syria (2010-2015)
  • MSc in Pharmaceutical Sciences, Food Control, University of Damascus, Syria (2005-2007)
  • Diploma in Pharmaceutical Sciences, Food Control, University of Damascus, Syria (2000-2001)
  • BSc in Pharmacy & Pharmaceutical Chemistry, University of Damascus, Syria (1993-1998)

💼 Professional Experience

  • Senior Research and Analytical Scientist at Owlstone Medical, Cambridge (2022 – Present)
  • Lecturer of Analytical Chemistry, School of Chemistry, Lincoln University (2021 – 2022, Part-Time)
  • Postdoctoral Research Assistant, School of Chemistry, Lincoln University (2019 – 2021, Full-Time; Part-Time thereafter)
  • Research Fellow, School of Computer Science, Lincoln University (2018 – Present, Part-Time; Full-Time from 2018 – 2019)
  • Visiting Researcher, School of Chemistry, Lincoln University (2018 – 2019)
  • Research Chemist, Crop Intellect Co, Lincoln, UK (2017 – 2018, Part-Time)
  • Postdoctoral Research Fellow, School of Chemistry, Lincoln University (2016 – 2018)
  • Scientific Consultant, Makki – Kekhia Company (2008 – 2016)

🔬 Research Interests

Mohammad Alkaseem’s research interests span the fields of analytical chemistry and pharmaceutical sciences, focusing on advanced methods for VOC (volatile organic compound) analysis, nanoparticle characterization, and the development and validation of innovative analytical techniques. His work explores applications in food control, environmental monitoring, and biomedical research, aiming to enhance understanding and efficiency in detection methods critical to public health and safety. Mohammad is particularly dedicated to integrating new technologies and methodologies to address complex analytical challenges, contributing to advancements in both academia and industry.

📖 Publication Top Noted

Article: The Technical Examination of Nineteenth-Century Artists’ Pigments from John Opie’s Paintbox

    • Authors: Skipper, L.K.; Baron, M.; Sancho, N.; Alkaseem, M.
    • Journal: Studies in Conservation
    • Status: Article in Press
    • Year: 2024

Erratum: Author Correction: Mobile Real-Time Grasshopper Detection and Data Aggregation Framework

    • Authors: Chudzik, P.; Mitchell, A.; Alkaseem, M.; Pearson, S.; Al-Diri, B.
    • Journal: Scientific Reports
    • Volume: 10
    • Issue: 1
    • Pages: 4644
    • Year: 2020

Article: Mobile Real-Time Grasshopper Detection and Data Aggregation Framework

    • Authors: Chudzik, P.; Mitchell, A.; Alkaseem, M.; Pearson, S.; Al-Diri, B.
    • Journal: Scientific Reports
    • Volume: 10
    • Issue: 1
    • Pages: 1150
    • Year: 2020
    • Citations: 17

Article: Modular assembly of proteins on nanoparticles

    • Authors: Ma, W.; Saccardo, A.; Roccatano, D.; Soloviev, M.; Ferrari, E.
    • Journal: Nature Communications
    • Volume: 9
    • Issue: 1
    • Pages: 1489
    • Year: 2018
    • Citations: 77

Article: SERS and DFT study of 5F-PB-22

    • Authors: Alkaseem, M.; Baron, M.
    • Journal: Journal of Raman Spectroscopy
    • Volume: 49
    • Issue: 10
    • Pages: 1594–1606
    • Year: 2018
    • Citations: 16

fazila malik | Optimization techniques | Excellence in Innovation

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Ms. fazila malik ,Optimization techniques, Excellence in Innovation

Ms. fazila malik at  Iqra international university islamabad H9 campus, Pakistan

Author Profile

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🌟Summary

Fazila Malik is a dedicated computer science lecturer with expertise in artificial intelligence, data mining, and natural language processing. She holds two master’s degrees in computer science from COMSATS University Islamabad, where she was a batch topper during her MS studies. Fazila has experience teaching at various universities and conducting remote research. Her technical skills include Python, C++, Java, TensorFlow, Scikit-learn, and Latex. Fazila has contributed to multiple research projects and has several publications in reputable journals.

🎓Education

  • Master of Sciences (MS) in Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2020-2022) | CGPA: 3.8/4.0 (Batch Topper)
  • Master of Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2017-2019) | CGPA: 3.1/4.0

💼 Professional Experience

  • Lecturer, Iqra University Islamabad, H9 Campus (September 2023 – Present)
  • Lecturer (Contract), University of Education, Attock Campus (September 2022 – August 2023)
  • Research Experience (Remotely) (January 2020 – Present)

🔬 Research Interests

My research interests lie at the intersection of artificial intelligence and data science, with a focus on Natural Language Processing (NLP), evolutionary algorithms, and neural networks. I am particularly passionate about developing innovative methods to analyze and interpret complex data patterns. My work in NLP involves creating models for text analysis, sentiment detection, and textual similarities extraction, leveraging machine learning and deep learning techniques. Additionally, I am intrigued by the potential of evolutionary algorithms to solve optimization problems and enhance clustering methods. My ongoing projects explore social media analysis and pattern mining, aiming to uncover hidden insights and contribute to advancements in the field of data science.

📖 Publication Top Noted

Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

    • Authors: Alduailij, M.; Khan, Q.W.; Tahir, M.; …; Alduailij, M.; Malik, F.
    • Journal: Symmetry
    • Volume: 14
    • Issue: 6
    • Pages: 1095
    • Year: 2022

A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering

    • Authors: Malik, F.; Khan, S.; Rizwan, A.; Atteia, G.; Samee, N.A.
    • Journal: IEEE Access
    • Volume: 10
    • Pages: 97310–97326
    • Year: 2022

Chenwi Neba Cyril | Predictive Analytics | Excellence in Research

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Mr. Chenwi Neba Cyril ,Predictive Analytics, Excellence in Research

Austin Peay State University, United States

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🌟Summary

Chenwi Neba Cyril is a seasoned Predictive Data Analyst at Walmart Inc. and holds a Master’s Degree in Computer Science and Quantitative Methods. His expertise spans predictive analytics, with notable contributions in retail sales forecasting, credit card fraud detection, and environmental research. Cyril has published extensively in reputable journals and actively engages in consultancy projects. His current research focuses on integrating predictive analytics into geochemistry, advancing cancer detection through machine learning, and developing data-driven solutions for cybersecurity and public health challenges.

🎓Education

Chenwi Neba Cyril holds a Master’s Degree in Computer Science and Quantitative Methods with a concentration in Predictive Analytics from Austin Peay State University, USA, where he graduated with a perfect GPA of 4.00. He also earned Bachelor’s and Master’s degrees in Earth and Space Sciences from the University of Yaoundé I in Cameroon. His academic journey has equipped him with a robust foundation in both technical sciences and advanced quantitative methods, facilitating his expertise in predictive data analysis and research across diverse domains.

💼 Professional Experience

Chenwi Neba Cyril currently serves as a Pricing Analyst and Manager at Walmart Inc., where he applies his extensive knowledge of data science and predictive analytics to drive strategic business decisions. His role involves leveraging advanced analytical techniques to optimize pricing strategies and enhance revenue growth. Cyril has also undertaken consultancy projects with multiple banks, specializing in improving fraud detection systems and customer relationship management through predictive analytics. Additionally, he has collaborated with microfinance institutions in Cameroon on projects aimed at implementing data-driven solutions for environmental challenges and sustainable development initiatives. His professional journey reflects a commitment to leveraging analytics to drive innovation and impact across various sectors.

🔬 Research Interests

Chenwi Neba Cyril’s research interests are interdisciplinary, spanning the integration of predictive analytics in geochemistry, machine learning applications for cancer detection, data-driven cybersecurity for military operations, and combating the opioid epidemic through advanced analytics. His current research aims to apply predictive analytics to identify geochemical pathways and predict mineral sources, revolutionize cancer detection methodologies through machine learning advancements, develop proactive cybersecurity solutions for military networks, and optimize interventions to mitigate the opioid crisis using big data analytics. Cyril’s work underscores a commitment to harnessing data-driven approaches to address complex societal challenges and drive transformative outcomes in public health and cybersecurity domains.

📖 Publication Top Noted

  • Authors: Cyril Neba, Gillian Nsuh, Adrian Neba, F Webnda, Victory Ikpe, Adeyinka Orelaja, Nabintou Anissia Sylla
  • Journal: Unfallchirurgie (Germany)
  • Volume: 20
  • Issue: 7
  • Pages: 9-30
  • Year: 2024

Article : Advancing Retail Predictions: Integrating Diverse Machine Learning Models for Accurate Walmart Sales Forecasting

  • Authors: Nabintou Anissia Sylla, Cyril Neba C., Gerard Shu F., Gillian Nsuh, Philip Amouda A., Adrian Neba F., F. Webnda, Victory Ikpe, Adeyinka Orelaja
  • Journal: Asian Journal of Probability and Statistics
  • Volume: 26
  • Issue: 7
  • Pages: 1-23
  • Year: 2024

Article : Comparative Analysis of Stock Price Prediction Models: Generalized Linear Model (GLM), Ridge Regression, Lasso Regression, Elasticnet Regression, and Random Forest – A Case …

  • Authors: Cyril Neba C., Gillian Nsuh, Gerard Shu F., Philip Amouda A., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 10
  • Pages: 12
  • Year: 2023

Article : Time Series Analysis and Forecasting of COVID-19 Trends in Coffee County, Tennessee, United States

  • Authors: Cyril Neba C., Gerard Shu F., Gillian Nsuh, Philip Amouda A., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 9
  • Pages: 14
  • Year: 2023

Article : Using Regression Models to Predict Death Caused by Ambient Ozone Pollution (AOP) in the United States

  • Authors: Cyril Neba C., Gerard Shu F., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda, Philip Amouda A.
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 9
  • Pages: 18
  • Year: 2023

Eleni Efthimiadou | Gold Nanoparticle synthesis for bioaplication | Best Researcher Award

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Prof. Eleni Efthimiadou, Gold Nanoparticle synthesis for bioaplication, Best Researcher Award

 Professor at National and Kapodistrian University of Athens, Greece

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🌟Summary

Prof. Eleni Efthimiadou is an Associate Professor in Bioinorganic and Inorganic Chemistry at the Department of Chemistry, National and Kapodistrian University of Athens (NKUA). She has a distinguished career with significant contributions to nanotechnology, cancer treatment, and environmental protection. Prof. Efthimiadou is an esteemed evaluator for several research foundations and actively participates in various international scientific committees and COST Actions. Her research has earned her numerous accolades, including the prestigious L’Oréal-UNESCO Award for Women in Science.

🎓Education

  • PhD in Nanoscale Functionalities for Targeted Delivery of Biopharmaceutics, Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Greece.
  • MSc in Chemistry, National and Kapodistrian University of Athens, Greece.
  • BSc in Chemistry, National and Kapodistrian University of Athens, Greece.

💼 Professional Experience

  • Associate Professor (2021 – Present): Bioinorganic and Inorganic Chemistry, Department of Chemistry, NKUA, Greece.
  • Assistant Professor (2017 – 2021): Inorganic Chemistry, Department of Chemistry, NKUA, Greece.
  • Postdoctoral Researcher (2014 – 2017): Various research projects at the Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Greece, focusing on solar collectors, antifouling coatings, and drug delivery systems.
  • PhD Candidate (2007 – 2009): Research in MRI contrast agents and paramagnetic organometallic compounds at the Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Greece.

🔬 Research Interests

Prof. Efthimiadou’s research spans bioinorganic and inorganic chemistry, with a particular focus on nanotechnology for medical and environmental applications. Her work includes developing novel nanocarriers for targeted cancer therapy, innovative antifouling paints, and magnetic nanofluids for atherosclerosis treatment. She is also involved in projects that aim to advance heat transfer fluids for solar energy systems and explore the theranostic applications of nanomaterials.

📖 Publication Top Noted

A Novel Epigenetic Strategy to Concurrently Block Immune Checkpoints PD-1/PD-L1 and CD155/TIGIT in Hepatocellular Carcinoma

    • Authors: Assal, R.A., Elemam, N.M., Mekky, R.Y., Fahmy, S.A., Youness, R.A.
    • Journal: Translational Oncology
    • Volume: 45
    • Pages: 101961
    • Year: 2024

Amino acid driven synthesis of gold nanoparticles: A comparative study on their biocompatibility

    • Authors: Theodosiou, M., Chalmpes, N., Gournis, D., Thomaidis, N.S., Efthimiadou, E.K.
    • Journal: Materials Chemistry and Physics
    • Volume: 319
    • Pages: 129260
    • Year: 2024

Iron Oxide Nanoparticles: Selectively Targeting Melanoma Cells In Vitro by Inducing DNA Damage via H2AX Phosphorylation and Hindering Proliferation through ERK Dephosphorylation

    • Authors: Prokopiou, D.E., Chillà, A., Margheri, F., Laurenzana, A., Efthimiadou, E.K.
    • Journal: Pharmaceutics
    • Volume: 16
    • Issue: 4
    • Pages: 527
    • Year: 2024

177Lu-Labeled Iron Oxide Nanoparticles Functionalized with Doxorubicin and Bevacizumab as Nanobrachytherapy Agents against Breast Cancer

    • Authors: Salvanou, E.-A., Kolokithas-Ntoukas, A., Prokopiou, D., Avgoustakis, K., Bouziotis, P.
    • Journal: Molecules
    • Volume: 29
    • Issue: 5
    • Pages: 1030
    • Year: 2024

Novel Hybrid Silver-Silica Nanoparticles Synthesized by Modifications of the Sol-Gel Method and Their Theranostic Potential in Cancer

    • Authors: Nikolopoulou, S.G., Kalska, B., Basa, A., Papadopoulou, A., Efthimiadou, E.K.
    • Journal: ACS Applied Bio Materials
    • Volume: 6
    • Issue: 12
    • Pages: 5235–5251
    • Year: 2023

Aufeef Chauhan | Autonomous Systems and Cloud-edge Computing | Best Researcher Award

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Dr. Aufeef Chauhan , Autonomous Systems and Cloud-edge Computing, Best Researcher Award

Doctorate The University of Adelaide Australia

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🌟Summary

Dr. M. Aufeef Chauhan is an accomplished academic and researcher in the field of computer science, with extensive expertise in software engineering, cloud computing, and autonomous systems. He has a strong background in both academia and industry, having held teaching and research positions at prestigious institutions such as the University of Adelaide and the IT University of Copenhagen. Dr. Chauhan is actively involved in the research community, contributing as a program committee member, conference organizer, and journal paper reviewer.

🎓Education

  • Doctor of Philosophy (Ph.D.) in Computer Science
    • Thesis: “Foundations for Tools as a Service Workspace: A Reference Architecture”
    • University: IT University of Copenhagen, Denmark
  • Master of Science (M.Sc.) in Software Engineering
    • University: Malardalen University, Sweden
  • Bachelor of Science (BS) in Computer Science
    • University: National University of Computer and Emerging Sciences (FAST-NU), Pakistan

💼 Professional Experience

  • University of Adelaide, Australia
    • Course Coordinator and Lecturer for Engineering Software as Services I & II (2021-2022)
    • Guest Lecturer for Software Architecture (2014)
  • IT University of Copenhagen, Denmark
    • Course Manager and Lecturer for Software Architecture (2015-2016)
    • Teaching Assistant for Software Architecture and Cloud Computing (2011-2014)
  • Industry Experience
    • Over seven years of experience in analysis, design, and development of applications for web-based, client-server, and desktop environments
    • Expertise in JavaEE, JavaSE, Microsoft .Net, Microsoft Visual C++, Python, Ruby on Rails, SQL, and NoSQL databases
    • Experience in business process automation and financial applications

🔬 Research Interests

Dr. Chauhan’s research focuses on dynamic reference information management, knowledge representation in autonomous systems, security data architectures, distributed software architectures for cloud-based and Web of Things (WoT) systems, and the evolution of traditional software systems into Software as a Service (SaaS) models. His work aims to address challenges related to global software development through cloud computing paradigms.

📖 Publication Top Noted

KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge–cloud environments to support situation-aware robot-assisted operations

    • Authors: Muhammad Aufeef Chauhan, Muhammad Ali Babar, Haifeng Shen
    • Journal: Future Generation Computer Systems
    • Year: 2024

Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems

    • Authors: Hang Thanh Bui, Hamed Aboutorab, Arash Mahboubi, Yansong Gao, Nazatul Haque Sultan, Aufeef Chauhan, Mohammad Zavid Parvez, Michael Bewong, Rafiqul Islam, Zahid Islam, et al.
    • Journal: Computers & Security
    • Year: 2024

Designing a Security Platform for Collaborating Autonomous Systems-An Experience Report

    • Authors: Chauhan, M.A.; Babar, M.A.; Grainger, S.
    • Journal: Proceedings – 2021 IEEE 18th International Conference on Software Architecture Companion, ICSA-C 2021
    • Year: 2021

Architectural Design Space for Modelling and Simulation as a Service: A Review

    • Authors: Shahin, M.; Babar, M.A.; Chauhan, M.A.
    • Journal: Journal of Systems and Software
    • Year: 2020

A Reference Architecture for provisioning of Tools as a Service: Meta-model, Ontologies and Design Elements

    • Authors: Chauhan, M.A.; Babar, M.A.; Sheng, Q.Z.
    • Journal: Future Generation Computer Systems
    • Year: 2017

Artur Durajski | Superconductivity research | Best Researcher Award

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Assoc Prof Dr. Artur Durajski, Superconductivity research, Best Researcher Award

Czestochowa University of Technology, Poland

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🌟Summary

Dr. Artur Durajski is a physicist specializing in condensed matter physics, focusing on hydrogen-rich and graphene-like 2D superconductors. He employs first-principles calculations and advanced computational techniques to explore material properties at the atomic level.

🎓Education

  • Habilitation in Physical and Natural Sciences, Wroclaw University of Science and Technology, 2014-2019
  • Ph.D. in Physical Sciences, University of Zielona Gora, 2011-2014
  • Master of Science in Physics, Czestochowa University of Technology, 2004-2011
  • Master of Management, Czestochowa University of Technology, 2004-2011

💼 Professional Experience

  • Head of the Institute of Physics, Czestochowa University of Technology, 2020-2023
  • Leader, Theoretical Physics Research Group, Institute of Physics, Czestochowa University of Technology, 2016-2019
  • Head of Department of Solid State Physics, Institute of Physics, Czestochowa University of Technology, 2014-2019
  • Assistant Professor, Institute of Physics, Czestochowa University of Technology

🔬 Research Interests

Dr. Artur Durajski’s research interests lie in the realm of condensed matter physics, particularly exploring the properties of phonon-mediated hydrogen-rich and graphene-like 2D superconductors. His work utilizes advanced computational techniques and first-principles calculations to investigate electronic structures, phonon interactions, and other critical factors influencing superconductivity at the atomic level. His expertise contributes to a deeper understanding of material properties essential for the development of future applications in quantum computing and energy-efficient technologies.

📖 Publication Top Noted

Investigation of N3C5 and B3C5 bilayers as anode materials for Li-ion batteries by first-principles calculations

    • Authors: Kasprzak, G.T., Jarosik, M.W., Durajski, A.P.
    • Journal: Scientific Reports
    • Volume: 14
    • Issue: 1
    • Pages: 11180
    • Year: 2024

Ternary ScC2H8 Superconductor at Moderate Pressure

    • Authors: Wrona, I.A., Szczesniak, R., Durajski, A.P.
    • Journal: Journal of Physical Chemistry C
    • Volume: 128
    • Issue: 22
    • Pages: 9247–9255
    • Year: 2024

(La,Th)H10: Potential High-Tc (242 K) Superconductors Stabilized Thermodynamically below 200 GPa

    • Authors: Song, P., Durajski, A.P., Hou, Z., Hongo, K., Maezono, R.
    • Journal: Journal of Physical Chemistry C
    • Volume: 128
    • Issue: 6
    • Pages: 2656–2665
    • Year: 2024

Prediction of high-Tc superconductivity in ternary actinium beryllium hydrides at low pressure

    • Authors: Gao, K., Cui, W., Shi, J., Marques, M.A.L., Li, Y.
    • Journal: Physical Review B
    • Volume: 109
    • Issue: 1
    • Pages: 014501
    • Year: 2024

Effect of doping on the phase stability and superconductivity in La H10

    • Authors: Wu, Z., Sun, Y., Durajski, A.P., Ho, K.-M., Wu, S.
    • Journal: Physical Review Materials
    • Volume: 7
    • Issue: 10
    • Pages: L101801
    • Year: 2023

First-Principles Estimation of Low-Pressure Superconductivity in KC2H8 Ternary Hydride

    • Authors: Durajski, A.P., Szczęśniak, R.
    • Journal: Physica Status Solidi – Rapid Research Letters
    • Volume: 17
    • Issue: 9
    • Pages: 2300043
    • Year: 2023

Refat Al-Shannaq | Thermal Energy Storage | Best Researcher Award

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Assist Prof Dr. Refat Al-Shannaq ,Thermal Energy Storage, Best Researcher Award

Dhofar University, Oman

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🌟Summary

Dr. Refat Al-Shannaq is a distinguished researcher and innovator in the field of phase change materials (PCMs) and microencapsulation technologies. With a robust academic background and extensive expertise in thermal energy storage systems, he has made significant contributions to sustainable energy solutions and thermal comfort enhancements.

🎓Education

Dr. Refat Al-Shannaq earned his Ph.D. in Chemical Engineering, specializing in the microencapsulation of phase change materials (PCMs) for advanced thermal energy storage systems. His doctoral research focused on developing innovative methods for low-temperature microencapsulation, a pivotal contribution to enhancing energy efficiency and human thermal comfort in building applications. His academic journey has been marked by a commitment to cutting-edge research and sustainable energy solutions, positioning him as a leader in the field of PCM technologies.

💼 Professional Experience

Dr. Refat Al-Shannaq has extensive professional experience as a Principal Investigator (PI) and Research Investigator, contributing significantly to the field of phase change materials (PCMs) and microencapsulation technologies. Currently serving as PI at Dhofar University, Oman, he leads pioneering research projects aimed at integrating PCMs into building materials to enhance energy efficiency and human thermal comfort. Previously, he played key roles in completed projects funded by the Qatar Foundation, collaborating with Qatar University and the University of Doha for Science and Technology. His work underscores a dedication to advancing sustainable energy solutions through innovative research and practical applications in thermal energy storage systems.

🔬 Research Interests

Dr. Refat Al-Shannaq’s research interests revolve around the innovative applications of phase change materials (PCMs) and microencapsulation technologies in thermal energy storage systems. His work focuses on developing efficient and sustainable building materials that enhance energy efficiency and human thermal comfort. Driven by a commitment to advancing green technologies, he explores novel methods for microencapsulating PCMs at low temperatures, aiming to revolutionize energy storage solutions. His research not only contributes to the development of environmentally friendly building materials but also addresses critical challenges in sustainable architecture and energy conservation.

📖 Publication Top Noted

Article: Microencapsulation of phase change materials (PCMs) at low temperature using a novel thin film UV reactor

    • Authors: Al-Shannaq, R.; Farid, M.M.; Wasi Ahmad, M.; Al-Muhtaseb, S.A.; Kurdi, J.
    • Journal: Chemical Engineering Journal
    • Volume: 493
    • Pages: 152807
    • Year: 2024

Article: Non-Enzymatic Electrochemical Sensing of Bisphenol A in Drinking Water and Milk Using Bimetallic Nickel-Copper Metal–Organic Framework

    • Authors: Dey, B.; Ahmad, M.W.; Al-Shannaq, R.; Rahman, M.M.; Choudhury, A.
    • Journal: Journal of Analysis and Testing
    • Year: 2024

Article: Microencapsulation of low melting phase change materials for cold storage applications

    • Authors: Ikutegbe, C.A.; Al-Shannaq, R.; Farid, M.M.
    • Journal: Applied Energy
    • Volume: 321
    • Pages: 119347
    • Year: 2022

Article: A rapid method for low temperature microencapsulation of phase change materials (PCMs) using a coiled tube ultraviolet reactor

    • Authors: Ansari, J.A.; Al-Shannaq, R.; Kurdi, J.; Ikutegbe, C.A.; Farid, M.M.
    • Journal: Energies
    • Volume: 14
    • Issue: 23
    • Pages: 7867
    • Year: 2021

Book Chapter: Cooling of milk on dairy farms: an application of a novel ice encapsulated storage system in New Zealand

    • Authors: Al-Shannaq, R.; Auckaili, A.; Farid, M.
    • Book: Food Engineering Innovations Across the Food Supply Chain
    • Pages: 207–228
    • Year: 2021

Chenwi Neba Cyril | Predictive Analytics | Best Researcher Award

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Mr. Chenwi Neba Cyril ,Predictive Analytics, Best Researcher Award

Austin Peay State University, United States

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🌟Summary

Chenwi Neba Cyril is a seasoned Predictive Data Analyst at Walmart Inc. and holds a Master’s Degree in Computer Science and Quantitative Methods. His expertise spans predictive analytics, with notable contributions in retail sales forecasting, credit card fraud detection, and environmental research. Cyril has published extensively in reputable journals and actively engages in consultancy projects. His current research focuses on integrating predictive analytics into geochemistry, advancing cancer detection through machine learning, and developing data-driven solutions for cybersecurity and public health challenges.

🎓Education

Chenwi Neba Cyril holds a Master’s Degree in Computer Science and Quantitative Methods with a concentration in Predictive Analytics from Austin Peay State University, USA, where he graduated with a perfect GPA of 4.00. He also earned Bachelor’s and Master’s degrees in Earth and Space Sciences from the University of Yaoundé I in Cameroon. His academic journey has equipped him with a robust foundation in both technical sciences and advanced quantitative methods, facilitating his expertise in predictive data analysis and research across diverse domains.

💼 Professional Experience

Chenwi Neba Cyril currently serves as a Pricing Analyst and Manager at Walmart Inc., where he applies his extensive knowledge of data science and predictive analytics to drive strategic business decisions. His role involves leveraging advanced analytical techniques to optimize pricing strategies and enhance revenue growth. Cyril has also undertaken consultancy projects with multiple banks, specializing in improving fraud detection systems and customer relationship management through predictive analytics. Additionally, he has collaborated with microfinance institutions in Cameroon on projects aimed at implementing data-driven solutions for environmental challenges and sustainable development initiatives. His professional journey reflects a commitment to leveraging analytics to drive innovation and impact across various sectors.

🔬 Research Interests

Chenwi Neba Cyril’s research interests are interdisciplinary, spanning the integration of predictive analytics in geochemistry, machine learning applications for cancer detection, data-driven cybersecurity for military operations, and combating the opioid epidemic through advanced analytics. His current research aims to apply predictive analytics to identify geochemical pathways and predict mineral sources, revolutionize cancer detection methodologies through machine learning advancements, develop proactive cybersecurity solutions for military networks, and optimize interventions to mitigate the opioid crisis using big data analytics. Cyril’s work underscores a commitment to harnessing data-driven approaches to address complex societal challenges and drive transformative outcomes in public health and cybersecurity domains.

📖 Publication Top Noted

  • Authors: Cyril Neba, Gillian Nsuh, Adrian Neba, F Webnda, Victory Ikpe, Adeyinka Orelaja, Nabintou Anissia Sylla
  • Journal: Unfallchirurgie (Germany)
  • Volume: 20
  • Issue: 7
  • Pages: 9-30
  • Year: 2024

Article : Advancing Retail Predictions: Integrating Diverse Machine Learning Models for Accurate Walmart Sales Forecasting

  • Authors: Nabintou Anissia Sylla, Cyril Neba C., Gerard Shu F., Gillian Nsuh, Philip Amouda A., Adrian Neba F., F. Webnda, Victory Ikpe, Adeyinka Orelaja
  • Journal: Asian Journal of Probability and Statistics
  • Volume: 26
  • Issue: 7
  • Pages: 1-23
  • Year: 2024

Article : Comparative Analysis of Stock Price Prediction Models: Generalized Linear Model (GLM), Ridge Regression, Lasso Regression, Elasticnet Regression, and Random Forest – A Case …

  • Authors: Cyril Neba C., Gillian Nsuh, Gerard Shu F., Philip Amouda A., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 10
  • Pages: 12
  • Year: 2023

Article : Time Series Analysis and Forecasting of COVID-19 Trends in Coffee County, Tennessee, United States

  • Authors: Cyril Neba C., Gerard Shu F., Gillian Nsuh, Philip Amouda A., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 9
  • Pages: 14
  • Year: 2023

Article : Using Regression Models to Predict Death Caused by Ambient Ozone Pollution (AOP) in the United States

  • Authors: Cyril Neba C., Gerard Shu F., Adrian Neba F., Aderonke Adebisi, P. Kibet., F. Webnda, Philip Amouda A.
  • Journal: International Journal of Innovative Science and Research Technology
  • Volume: 8
  • Issue: 9
  • Pages: 18
  • Year: 2023

Susan Stead | Technology Innovation | Best Researcher Award

Published on by Research Data Analysis

Dr. Susan Stead , Technology Innovation, Best Researcher Award

Doctorate at RWTH University, Institute for Technology and Innovation Management, Germany

Google Scholar Profile
Scopus Profile

🌟Summary

Dr. Susan Stead is an Assistant Professor at RWTH Aachen University, specializing in Healthcare and Service Innovation. She serves as Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Her interdisciplinary research focuses on multisensory customer service experiences and the integration of artificial intelligence in healthcare.

🎓Education

  • Ph.D., Maastricht University, the Netherlands, 2020 Dissertation: “The Power of Senses: Unraveling Multisensory Customer Service Experiences”
  • M.Sc., International Business – Strategic Marketing (cum laude), Maastricht University, the Netherlands, 2014
  • B.B.A., Business Administration, Zuyd University of Applied Science, Maastricht, the Netherlands, 2013

💼 Professional Experience

Dr. Susan Stead brings over a decade of expertise in academia and research, currently serving as an Assistant Professor at RWTH Aachen University. Since joining RWTH Aachen in 2020, she has held pivotal roles including Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Dr. Stead’s career is marked by her leadership in interdisciplinary research, focusing on healthcare and service innovation. She has played a crucial role in advancing the understanding of multisensory customer service experiences and integrating artificial intelligence into healthcare practices. Her contributions extend to mentoring young talents in AI through her involvement with AI Grid and serving as a faculty board member at RWTH Aachen University.

🔬 Research Interests

Dr. Susan Stead’s research interests span the domains of healthcare and service innovation, with a particular emphasis on multisensory customer experiences and the application of artificial intelligence in healthcare settings. Her work explores how sensory modalities impact customer interactions and satisfaction, aiming to enhance service delivery across various industries. Dr. Stead is also passionate about digital transformation in service sectors, investigating how emerging technologies can optimize operational efficiencies and improve patient care outcomes. Her interdisciplinary approach integrates insights from service design, innovation management, and AI ethics, contributing to the development of future-focused strategies in healthcare innovation.

📖 Publication Top Noted

Application of artificial intelligence systems in the emergency room: Do the communication patterns give indications for possible starting points? An observational study

    • Authors: Tjardes, T., Meyer, L.M., Lotz, A., Stead, S., Walossek, N.
    • Journal: Unfallchirurgie (Germany)
    • Volume: 126
    • Issue: 7
    • Pages: 552–558
    • Year: 2023

Hospital resource endowments and nosocomial infections: longitudinal evidence from the English National Health Service on Clostridioides difficile between 2011 and 2019

    • Authors: Stead, S., Vogt, L., Antons, D., Klasen, M., Sopka, S.
    • Journal: Journal of Hospital Infection
    • Volume: 134
    • Pages: 129–137
    • Year: 2023

It is Really Not a Game: An Integrative Review of Gamification for Service Research

    • Authors: Ciuchita, R., Heller, J., Köcher, S., Sidaoui, K., Stead, S.
    • Journal: Journal of Service Research
    • Volume: 26
    • Issue: 1
    • Pages: 3–20
    • Year: 2023

The Inscrutable New Actor: An Employee Perspective on the Flipside of AI

    • Authors: Stead, S.
    • Conference: International Conference on Information Systems (ICIS 2023)
    • Year: 2023

Toward Multisensory Customer Experiences: A Cross-Disciplinary Bibliometric Review and Future Research Directions

    • Authors: Stead, S., Wetzels, R., Wetzels, M., Odekerken-Schröder, G., Mahr, D.
    • Journal: Journal of Service Research
    • Volume: 25
    • Issue: 3
    • Pages: 440–459
    • Year: 2022

Amir Reza Rahimi | Innovation in Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Mr. Amir Reza Rahimi, Innovation in Data Analysis, Best Researcher Award

Mr. Amir Reza Rahimi at University of Valencia, Spain

orcid Profile

🌟Summary

Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in Language, Literature, and Cultures. With a background in English Language Teaching, he has extensive experience teaching at various educational levels in Iran. His research focuses on Computer-Assisted Language Learning (CALL), Massive Open Online Courses (MOOCs), psycholinguistics, and educational technology.

🎓Education

Amir Reza Rahimi holds a Master’s degree in English Language Teaching from the University of Mohaghegh Ardabili, Iran, where his thesis explored the impact of Massive Open Online Courses (MOOCs) on the relationship between online regulation and online motivational self-systems among Iranian EFL learners. Currently a Ph.D. candidate at the University of Valencia, Spain, in Language, Literature, and Cultures, his academic pursuits delve into Computer-Assisted Language Learning (CALL), psycholinguistics, and educational technology. Rahimi’s educational journey underscores his commitment to advancing the understanding of digital competence and innovative teaching methodologies in language education.

💼 Professional Experience

Amir Reza Rahimi brings a wealth of experience in English Language Teaching (ELT) across various educational settings in Iran. He has taught English at universities, high schools, and language institutes, enriching his pedagogical approach with workshops on integrating technology into language education for fellow educators. Rahimi’s career highlights include numerous publications in esteemed journals such as Computer-Assisted Language Learning (CALL) and presentations at international conferences like the TESOL International Convention and the World CALL conference. His research and teaching endeavors underscore his dedication to enhancing language learning through innovative educational technologies and pedagogical strategies.

🔬 Research Interests

Amir Reza Rahimi’s research interests are centered around advancing the field of language education through innovative approaches and technologies. His primary focus lies in Computer-Assisted Language Learning (CALL), exploring the integration of Massive Open Online Courses (MOOCs) and their impact on language learners’ motivation and self-regulation. Rahimi is also interested in psycholinguistics, investigating how digital tools and online environments influence language acquisition and educational outcomes. His work aims to bridge theoretical insights with practical applications in teacher education, enhancing digital competence and educational practices in language teaching and learning contexts.

📖 Publication Top Noted

Title: Unifying EFL learners’ online self-regulation and online motivational self-system in MOOCs: A structural equation modeling approach

    • Authors: Amir Reza Rahimi, Zahra Cheraghi
    • Journal: Journal of Computers in Education
    • Year: 2024

Title: Beyond digital competence and language teaching skills: the bi-level factors associated with EFL teachers’ 21st-century digital competence to cultivate 21st-century digital skills

    • Authors: Amir Reza Rahimi
    • Journal: Education and Information Technologies
    • Year: 2024

Title: A bi-phenomenon analysis to escalate higher educators’ competence in developing university students’ information literacy (HECDUSIL): the role of language lectures’ conceptual and action-oriented digital competencies and skills

    • Authors: Amir Reza Rahimi
    • Journal: Education and Information Technologies
    • Year: 2024

Title: The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach

    • Authors: Amir Reza Rahimi, Ana Sevilla-Pavón
    • Journal: Computers and Education: Artificial Intelligence
    • Year: 2024