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

Elisa de Melo Henriques | Energy and Utilities Analytics | Best Researcher Award

Dr. Elisa de Melo Henriques | Energy and Utilities Analytics | Best Researcher Award

Dr. Elisa de Melo Henriques at Griffith University, Australia

👨‍🎓 Profile

🌟 Early Academic Pursuits

Elisa de Melo Henriques began her academic journey with a focus on Electrical Engineering at Universidade Federal de Minas Gerais in Brazil. Her undergraduate studies provided a solid foundation in engineering principles, which she further enriched with dual Master’s degrees in Electronic and Computing Engineering and Electronic and Energy Engineering from Griffith University, awarded in 2019. Her early work, especially her thesis on in-wheel motors for electric vehicles, showcased her ability to tackle complex engineering challenges and laid the groundwork for her future research in advanced technologies.

🛠️ Professional Endeavors

Following her Master’s degrees, Elisa pursued a PhD at Griffith University, concentrating on Wireless Power Transfer (WPT) systems for Autonomous Guided Vehicles (AGVs). Her research involved high-frequency transformer design and the use of amorphous materials, reflecting her deep expertise in control systems, SCADA systems, and Artificial Intelligence. Currently, Elisa is applying her knowledge as a Control Engineer at Safegroup Automation, where she contributes to optimizing control systems and integrating cutting-edge technology into practical applications, demonstrating her ability to bridge theoretical research with real-world engineering solutions.

🔬 Contributions and Research Focus

Elisa’s research contributions are notable for their innovation and impact. Her Master’s thesis on in-wheel motors and her PhD research on WPT systems have advanced the field significantly. A highlight of her work is the publication on Concave Ferrite cores, which introduced a unique structural innovation in WPT design. Her recent research has further innovated by presenting a novel wireless charging concept that is both cost-effective and maintains high power quality over an air gap, marking a significant step forward in the development of efficient wireless power systems.

🏅 Accolades and Recognition

Although Elisa does not have formal citations or patents listed, her research has been well-received within the academic and industry communities. Her innovative work on wireless power transfer and electric vehicle technologies has garnered attention and respect from peers and professionals. As a Student Member of Engineers Australia, Elisa is recognized for her potential and contributions, reflecting her growing influence in the field despite the absence of traditional accolades such as books or patents at this stage.

🌍 Impact and Influence

Elisa de Melo Henriques’s work has made a substantial impact on electrical engineering, particularly in the areas of wireless power transfer and electric vehicle technologies. Her research addresses key challenges such as efficiency and cost-effectiveness, influencing ongoing developments and future innovations in these fields. Her role as a Control Engineer allows her to apply her research insights to practical engineering problems, demonstrating the significant real-world impact of her academic contributions and advancing industry practices.

🚀 Legacy and Future Contributions

Elisa’s legacy is marked by her dedication to advancing electrical engineering through innovative research and practical applications. Her pioneering work on wireless power transfer systems and electric vehicles has set new standards and opened avenues for future research. As she continues her career, Elisa is expected to make further significant contributions, driving advancements in technology and sustainability. Her commitment to integrating cutting-edge solutions with engineering practice ensures that her future work will continue to shape and influence the field.

📖 Publications
Rotating Wireless Power Transfer: A New Concept for Wireless Charging Systems
    • Authors: E.D.M. Henriques, J. Lu, S. Stegen
    • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    • Year: 2024
Concave Ferrite Core for Wireless Power Transfer (WPT)
    • Authors: E.D.M. Henriques, S. Stegen
    • Journal: Energies
    • Year: 2023

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