Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

Ms. Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

Ms. Jodian Campbell Mercer University, United States

👨‍🎓 Profiles

👤 Summary

Data-driven professional with a strong background in analytics, business strategy, and project management. Adept at translating complex data into actionable insights and optimizing decision-making processes. Passionate about leveraging technology to enhance business outcomes.

🎓 Education

  • Python for Data Science, AI & Development, IBM (July 2024)
  • MBA in Business and Data Analytics, Mercer University, Atlanta, GA (May 2024)
  • BBA in Finance and Economics, University of Technology, Jamaica (Aug 2017)

💼 Professional Experience

  • Analytics Intern, Arbicare, Atlanta, GA (July 2024 – Present): Developed real-time dashboards and advanced data filtering techniques to enhance reporting accuracy and business strategies.
  • Client Services Officer, Strategic Alignment Limited, Kingston, Jamaica (Aug 2019 – June 2022): Analyzed complex datasets and created dynamic dashboards for clients, driving informed decision-making across various industries.
  • Project Coordinator, Sunbeam Children’s Home, St. Catherine, Jamaica (May 2018 – Aug 2019): Managed cross-functional teams and secured $1M in funding for a developmental program while leading proposal writing efforts.

🔍 Research Interests

Exploring advanced analytics, AI applications in business, and the impact of data-driven decision-making on organizational performance.

📖  Top Noted Publications
  • Authors: Paul O. Oyinloye; Jodian Campbell
    Journal: International Journal of Economic Policy
    Year: 2024
Optimizing treasury management in a high-inflation environment: A strategic framework for U.S. Financial Institutions
  • Authors: Boris A. Koffi; Jodian Campbell
    Journal: World Journal of Advanced Research and Reviews
    Year: 2024

Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy at Programme National de Lutte contre le Sida, Congo, Democratic Republic of the

Professional Profile👨‍🎓

 👤 Summary

Richard Ingwe Chuy is a Congolese expert in methodology and statistics, specializing in biomedical research and data science. With over eight years of experience, he provides consultancy services and training in research design and statistical analysis, particularly in public health and epidemiology.

🎓 Education

  • Doctorant en Technologie de l’Information, Spécialité Science des Données
    Bircham International University, Espagne & Delaware (Mai 2022)
  • Master 2 en Méthodologie et Statistiques en Recherche Biomédicale
    Université Paris Saclay, France (2020/2021)
  • Master 1 en Méthodes en Santé Publique
    Université Paris Saclay, France (2019/2020)
  • Diplôme en Médecine Générale
    Université de Lubumbashi (UNILU), République Démocratique du Congo (2013)

💼 Professional Experience

Richard is currently a Consultant Indépendant, providing expertise in methodology and statistics to various organizations. He facilitates training on data analysis and research design. Previously, he worked at the Programme National de Lutte contre le VIH/SIDA et les IST in the Ministry of Health, DRC, and has experience in clinical medicine in Lubumbashi.

🔬 Research Interests

His research interests include methods in epidemiology and clinical studies, predictive analysis, and qualitative research. Richard is also focused on gender, human rights, and vulnerability reduction in public health contexts.

🤝 Professional Affiliations

Richard is a member of several professional organizations, including the International Aids Society (IAS), AFRAVIH, and the CQUIN network.

💻 Technical Skills

He possesses advanced skills in Microsoft Office, R, Python, SAS, and qualitative analysis software (Nvivo, QDA Miner Lite), as well as experience in electronic questionnaire design (CoboCollect, ODK).

 

Top Noted Publications 📖

  • Authors: Michel Luhembwe, Richard Ingwe, Aimée Lulebo, Dalau Nkamba, John Ditekemena
  • Journal: BioMed
  • Volume: 4
  • Issue: 3
  • Pages: 27
  • Year: 2024

Fikadu Yirga | Data Analysis | Editorial Board Member

Mr. Fikadu Yirga | Data Analysis | Editorial Board Member

Mr. Fikadu Yirga at University of Gondar, Ethiopia

👨‍🎓 Profiles

🎓 Early Academic Pursuits

Fikadu Yirga Woldegebreal’s academic journey began at Mezezo Primary School, where he first developed his foundational knowledge from 2002 to 2009. His educational path continued at Mezezo Secondary School from 2010 to 2011, preparing him for advanced studies. He furthered his preparation at Debre Sina Preparatory School between 2012 and 2013, setting a solid groundwork for higher education. Fikadu then pursued a Bachelor of Science in Natural Resource Management at Debre Markos University from 2014 to 2016, followed by a Master of Science in Sustainable Natural Resource Management at Wollo University from 2017 to 2018. These academic milestones reflect his strong commitment to understanding and addressing natural resource management challenges.

🏛️ Professional Endeavors

Fikadu’s professional career began as a lecturer at Oda Bultum University from 2018 to 2020. During his tenure, he developed a Non-Timber Forest Product Management module, which has been officially recognized and utilized by the university. His role allowed him to influence future professionals and contribute to academic resources in his field. His work in curriculum development and teaching demonstrates his dedication to advancing education in natural resource management.

📚 Contributions and Research Focus

Fikadu’s research is diverse and impactful, with several published articles in reputable journals. His studies include:

  • “Examining the Expansion of Agroforestry Practices and Their Management Practices in the Central Highlands of Ethiopia,” highlighting agroforestry growth and management.
  • “Exploring the Contribution of Agroforestry Practices to Income and Livelihoods of Rural Households in the Central Highlands of Ethiopia,” focusing on the socio-economic benefits of agroforestry.
  • “Impact of Altitude and Anthropogenic Disturbance on Plant Species Composition, Diversity, and Structure at the Wof-Washa Highlands of Ethiopia,” analyzing environmental influences on plant biodiversity.
  • “Farmers’ Choices and Factors Affecting Adoption of Climate Change Adaptation Strategies: Evidence from Northwestern Ethiopia,” studying climate adaptation among farmers.
  • “Time-Series Trend Analysis and Farmer Perceptions of Rainfall and Temperature in Northwestern Ethiopia,” examining climatic trends and farmer perceptions.
  • “Status of Energy Utilization and Factors Affecting Rural Households’ Adoption of Biogas Technology in Northwestern Ethiopia,” evaluating energy use and biogas adoption.
  • “Biogas Technology in Fuelwood Saving and Carbon Emission Reduction in Southern Ethiopia,” assessing biogas technology’s environmental benefits.

These contributions underscore Fikadu’s commitment to advancing sustainable practices and addressing environmental and socio-economic issues.

🏆 Accolades and Recognition

Fikadu has received notable recognition for his contributions to natural resource management. His development of the Non-Timber Forest Product Management module at Oda Bultum University earned him formal acknowledgment, reflecting his impact on educational resources. His research publications have also garnered respect within the academic community, highlighting his role as a distinguished scholar in sustainable resource management.

🌍 Impact and Influence

Fikadu’s work has had a significant impact on both academia and practical applications in natural resource management. His research on agroforestry and climate change adaptation offers valuable insights into sustainable practices. His studies on energy utilization and biogas technology contribute to environmentally friendly practices in rural areas. Through his teaching and research, Fikadu influences policies and practices in natural resource management, preparing future professionals to address environmental challenges.

🔮 Legacy and Future Contributions

Fikadu Yirga Woldegebreal’s legacy is defined by his dedication to advancing natural resource management. His ongoing PhD studies at the University of Gondar, focusing on Forest and Livelihoods, promise to enhance his contributions further. His future work is expected to address critical environmental challenges and promote sustainable practices, continuing his role as a leading expert in the field.

📖 Publications

Examining the expansion of agroforestry practices and their management practices in the central highlands of Ethiopia
    • Authors: Yirga, F., Asfaw, Z., Alemu, A., Ewnetu, Z., Teketay, D.
    • Journal: Trees, Forests and People
    • Year: 2024
    • Volume: 17
    • Article Number: 100655
Exploring the Contribution of Agroforestry Practices to Income and Livelihoods of Rural Households in the Central Highlands of Ethiopia
    • Authors: Yirga, F., Asfaw, Z., Alemu, A., Ewnetu, Z., Teketay, D.
    • Journal: Agroforestry Systems
    • Year: 2024
    • Volume: 98
    • Issue: 6
    • Pages: 1355–1375
Time-series trend analysis and farmer perceptions of rainfall and temperature in northwestern Ethiopia
    • Authors: Marie, M., Yirga, F., Haile, M., Azadi, H., Scheffran, J.
    • Journal: Environment, Development and Sustainability
    • Year: 2021
    • Volume: 23
    • Issue: 9
    • Pages: 12904–12924
Status of energy utilization and factors affecting rural households’ adoption of biogas technology in north-western Ethiopia
    • Authors: Marie, M., Yirga, F., Alemu, G., Azadi, H.
    • Journal: Heliyon
    • Year: 2021
    • Volume: 7
    • Issue: 3
    • Article Number: e06487
Biogas technology in fuelwood saving and carbon emission reduction in southern Ethiopia
    • Authors: Desta, G.A., Melka, Y., Sime, G., Marie, M., Haile, M.
    • Journal: Heliyon
    • Year: 2020
    • Volume: 6
    • Issue: 10
    • Article Number: e04791
Farmers’ choices and factors affecting adoption of climate change adaptation strategies: evidence from northwestern Ethiopia
    • Authors: Marie, M., Yirga, F., Haile, M., Tquabo, F.
    • Journal: Heliyon
    • Year: 2020
    • Volume: 6
    • Issue: 4
    • Article Number: e03867
Impact of altitude and anthropogenic disturbance on plant species composition, diversity, and structure at the Wof-Washa highlands of Ethiopia
    • Authors: Yirga, F., Marie, M., Kassa, S., Haile, M.
    • Journal: Heliyon
    • Year: 2019
    • Volume: 5
    • Issue: 8
    • Article Number: e02284

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

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

Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

Mr. Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

Mr. Paraskumar Patel at Fractal.ai – United States

👨‍🎓 Profiles

🌟 Early Academic Pursuits

Paraskumar Patel’s academic journey is marked by a commitment to blending engineering and technology. He started with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University in India, where he developed a strong foundation in engineering principles. His quest for deeper knowledge led him to Carnegie Mellon University, where he earned a Master of Chemical Engineering. This advanced degree allowed Patel to explore complex engineering systems and applications. Recognizing the importance of data technology, he pursued a Master of Science in Information Technology from the University of the Cumberlands in the USA. This educational path not only enhanced his technical skills but also equipped him to integrate chemical engineering with cutting-edge data analytics.

💼 Professional Endeavors

Paraskumar Patel’s professional journey is highlighted by his impactful roles across various industries. As a Senior Data Engineer at Fractal.ai, Patel has made significant strides in data migration, report optimization, and advanced analytics. His work with high-profile clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcases his expertise in operationalizing complex models, migrating reports to Power BI, and enhancing data retrieval processes. Patel’s ability to streamline data processes and improve report efficiency has been instrumental in helping organizations make data-driven decisions and enhance operational performance.

📝 Contributions and Research Focus

Patel’s scholarly contributions are extensive and influential. His research addresses critical areas in data visualization, engineering challenges, and privacy-preserving analytics techniques. With publications in prestigious journals like the International Journal of Science and Research and the European Journal of Advances in Engineering and Technology, Patel has explored topics such as integrating privacy-preserving techniques, balancing creativity with compliance, and optimizing Power BI functionalities. His work not only contributes to the academic field but also provides practical solutions to complex data challenges, reflecting his thought leadership and commitment to advancing data engineering practices.

🏆 Accolades and Recognition

Paraskumar Patel’s work has earned him notable recognition within the data engineering community. His innovative approaches to optimizing data retrieval and enhancing report efficiency have been praised by clients and peers. Patel’s research publications are widely cited, underscoring the impact of his contributions on both academic and professional circles. His ability to bridge technical expertise with practical solutions has established him as a leading figure in data engineering, garnering accolades for his problem-solving skills and dedication to advancing the field.

🌍 Impact and Influence

Patel’s influence on the field of data engineering is profound. His work has not only improved data processes and access for various organizations but also set new standards for data-driven decision-making. By addressing complex data challenges and integrating advanced technologies, Patel has driven positive change across multiple sectors. His contributions have shaped how organizations approach data analytics, highlighting the importance of combining technical expertise with innovative solutions to enhance operational efficiencies and data accessibility.

🔮 Legacy and Future Contributions

As Paraskumar Patel continues to advance his career, his legacy in data engineering is defined by his innovative spirit and thought leadership. His contributions have left a lasting impact on the organizations he has worked with, improving their data processes and overall performance. Looking ahead, Patel’s focus on emerging challenges and his continued research efforts will likely drive further advancements in the field. His ability to merge engineering expertise with cutting-edge data analytics positions him as a key figure in shaping the future of data engineering, inspiring future generations of data professionals with his commitment to innovation and excellence.

📖 Publications

S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Dr. S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Doctorate at University Of Leeds, United Kingdom

👨‍🎓 Profile

Scopus Profile

👨‍🔬 Academic Background

Dr. S. Joseph Antony is an Associate Professor at the School of Chemical and Process Engineering, University of Leeds. His research expertise lies in granular mechanics, particle technology, and stress sensing across diverse applications. With a focus on interdisciplinary projects, Dr. Antony investigates the reuse of conventional wastes in concrete, bio-stress measurements, and the impacts of pandemics on engineering and economies. He has been honored with the MIT Young Researcher Fellowship Award and actively contributes to his field through extensive publications and editorial roles.

🎓 Education

  • B.E. in Civil Engineering, University of Madras, 1987
  • MSc (Eng.) in Engineering, Indian Institute of Science (IISc), Bangalore, 1991
  • PhD in Engineering, IISc, Bangalore, 1996

🏢 Professional Experience

  • Associate Professor, School of Chemical and Process Engineering, University of Leeds (Jan 2013 – present)
  • Senior Lecturer, Institute of Particle Science and Engineering, University of Leeds (Aug 2006 – Dec 2012)
  • Lecturer, Department of Chemical Engineering, University of Leeds (Mar 2001 – Jul 2006)
  • Research Fellow, Department of Chemical Engineering, University of Surrey (Jun 1999 – Feb 2001)
  • Research Fellow, Department of Civil Engineering, Aston University (Nov 1996 – May 1999)

🔬 Research Interests

Dr. Antony’s research focuses on the fundamental and applied aspects of granular mechanics and particle technology. His work includes the development of multi-scale modeling techniques using Discrete Element Method (DEM), Finite Element Method (FEM), and Molecular Dynamics (MD) simulations. He is also involved in cutting-edge experimental methods such as photo-stress sensing and strength measurements of materials. His interdisciplinary research explores the reuse of conventional wastes in concrete, investigates bio-stress measurement techniques, and examines the impacts of pandemics on engineering industries and national economies. Dr. Antony’s work aims to bridge the gap between particle-scale properties and macroscopic behavior, contributing to both industrial applications and theoretical advancements.

💼 Research Grants

Dr. Antony has secured funding for various projects, including:

  • Developing products by reutilizing plastic wastes (£130K)
  • Predictive tools for understanding COVID-19 impacts (£100K)
  • Engineering composites using municipal waste materials (£100K)
  • Optimal dispatch of virtual power plants (£80K)
  • Advanced photo-stress analysis of composite beams ($1.05M)

🔧 Administrative Duties

  • Industrial Placement Year Leader and Manager, School of Chemical and Process Engineering (2018 – present)
  • Former Faculty Equality and Diversity Officer, leading the successful Athena Swan Bronze Award application.

📖 Publications

Untreated municipal solid waste incineration ashes for cement replacement
    • Authors: Tokgoz, D.D.G., Ozerkan, N.G., Antony, S.J.
    • Journal: Journal of Engineering Research (Kuwait)
    • Year: 2023
Experimental DEM Hybrid Approach for Prediction of Landslide in Ughelli Sandstone
    • Authors: Olugbenga, A.G., Antony, S.J., Nasir, A., Garba, M.U., Yahya, M.D.
    • Conference Paper: Lecture Notes in Electrical Engineering
    • Year: 2023
Analysis of Bidding Strategies in Virtual Power Plant
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Joseph Antony, S., Ocheme, S.E.
    • Book Chapter: Green Energy and Technology
    • Year: 2023
Modeling the Outflow of Particulate Solids from a Container Taking into Account the Effect of Adhesion to the Wall
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Fluid Dynamics
    • Year: 2022
Design of IoT Based Load Management for Off-Grid Renewable Energy Sources
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Antony, S.J.
    • Conference Paper: AIP Conference Proceedings
    • Year: 2022
Development of Mathematical Models Taking into Account the Effect of Isolating Individuals in a Population
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Mathematical Models and Computer Simulations
    • Year: 2022

Sadoon Abdallah | Data Analysis | Best Researcher Award

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

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

💼 Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

📝 Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

💻 Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

📖 Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Entropy
    Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Physical Sciences Forum
    Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Conference: MaxEnt 2022
    Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

  • Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
    Journal: Reviews on Recent Clinical Trials
    Year: 2022

An Entropic Structure in Capability Indices

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Communications in Statistics – Theory and Methods
    Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2019

 

Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024

Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik at University of Warsaw, Poland

 Profiles

 Orcid Profile
 Scopus Profile
👩‍🔬 Academic Background

Hanna Wilczura-Wachnik is an adiunkt at the University of Warsaw, specializing in the study of colloids, microemulsions, and the interactions of biologically active molecules with membranes. Her research combines both theoretical and experimental approaches to advance our understanding of these complex systems.

🎓 Education

Hanna earned her MSc in 1977 from the University of Warsaw. She pursued her PhD at the same institution, which she completed in 1992. Her doctoral thesis, supervised by Prof. Teresa Kasprzycka-Guttman, was titled “The Enthalpy of Mixing in Associated Binary Systems of Pyridine and its Methyl Derivatives + n-Alkanes.”

💼 Professional Experience

Her postdoctoral research took place at the University of Tennessee under the guidance of Prof. Alexander Van Hook, focusing on liquid-liquid equilibrium (LLE) in polymer solutions. Hanna has also participated in short-term internships at various institutions, including the Technical University of Denmark, Syleyman Demirel University in Turkey, and Syddansk Universitet in Denmark. Since 2010, her research has centered on colloids, microemulsions, micellar phases, and the behavior of biologically active molecules in and through membranes.

🔬 Research Interests

Hanna’s research interests include the study of colloids, microemulsions, and micellar phases. She is particularly focused on the interfacial migration of biologically active molecules, such as antioxidants, and their interactions with models of natural membranes.

📜 Patents

Hanna is a co-inventor of Polish Patent No. 279254, issued in 1989, for a method of citric acid evolution from aqueous solutions. This patent was developed in collaboration with T. Kasprzycka-Guttman, B. Semeniuk, and M. Myśliński.

 

📖 Publication Top Noted

Interactions between quercetin and surfactants/solvents
    • Authors: Güzeloğlu, A., Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: Results in Chemistry
    • Year: 2024
α-Tocopherol/AOT/alkane/water system: Calorimetric studies
    • Authors: Karpiuk, I., Wilczura-Wachnik, H., Myśliński, A.
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Year: 2018
Size and diffusion phenomena of AOT/alcohol/water system in the presence of morin by dynamic light scattering
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2015
Interaction between morin and AOT reversed micelles – Studies with UV-vis at 25°C
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2014
Effects of surfactants on the characteristics and biosensing properties of polyaniline
    • Authors: Kuczynska, A., Uygun, A., Kaim, A., Yavuz, A.G., Aldissi, M.
    • Journal: Polymer International
    • Year: 2010
UV-vis investigation on the hydrocarbon length effect on the α-tocopherol solubility in an AOT/n-alkane/water system
    • Authors: Wilczura-Wachnik, H., Gregorczyk, I., Myslinski, A.
    • Journal: Journal of Solution Chemistry
    • Year: 2010