Endalkachew Etana | Statistical analysis | Editorial Board Member

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Mr. Endalkachew Etana | Statistical analysis | Editorial Board Member

Mattu University, Ethiopia
Author Profile

Orcid 

🎓 Early Academic Pursuits

Mr. Endalkachew Etana’s academic journey started at Mizan Tepi University in Ethiopia, where he obtained his BSc in Chemistry (2012-2014) with a CGPA of 3.72. He further advanced his education with an MSc in Analytical Chemistry from Ambo University (2019-2021), achieving a CGPA of 3.90. These foundational years shaped his career in analytical and instrumental chemistry, setting the stage for his future contributions to the field.

👨‍🏫 Teaching Experience

With extensive teaching experience, Mr. Etana has imparted knowledge across several critical chemistry courses, including Analytical Chemistry, Instrumental Analysis, and Environmental Chemistry. He has also taught practical modules in Instrumental Analysis and Real Sample Analysis. His commitment to high-quality education is evident in his involvement in curriculum development and laboratory manual preparation, ensuring students receive a hands-on and comprehensive learning experience.

🏅 Professional Endeavors & Committee Involvement

Mr. Etana has actively participated in various professional committees, including serving as the Analytical Chemistry Stream Leader. His roles in staff development, recruitment, laboratory installations, and curriculum reviews highlight his leadership in improving academic standards. These contributions demonstrate his dedication to fostering a thriving academic community within his institution.

🔬 Contributions and Research Focus

Mr. Etana’s research contributions primarily focus on analytical chemistry, environmental issues, and health risks. His work includes the analysis of trace heavy metals in Ethiopian white sugar products, the development of greener microextraction methods for pesticide residue analysis, and the evaluation of potentially toxic elements in agricultural soils. His ongoing projects, such as assessing radionuclides and heavy metals in soil samples, continue to drive innovation in analytical methodologies and environmental safety.

🌍 Impact and Influence

The impact of Mr. Etana’s work extends beyond academic circles. His research on heavy metals, environmental pollutants, and food safety influences public health policies in Ethiopia. His published articles in leading journals like the Journal of Agriculture and Food Research and the Chinese Journal of Analytical Chemistry shape the discourse on environmental and health risks, particularly in the context of Ethiopian agriculture. His findings aim to improve the quality of life through safer food products and cleaner environments.

📚 Academic Cites and Publications

Mr. Etana’s research has been widely published, with notable contributions in peer-reviewed journals. His work includes studies on the human health risk assessments of heavy metals in Ethiopian sugar products, the development of microextraction methods for pesticide residues, and evaluating toxic elements in agricultural soils. His articles have contributed significantly to the body of knowledge on food safety and environmental health.

🛠️ Technical Skills

Mr. Etana is highly skilled in a variety of technical tools essential for research and teaching. These include proficiency in basic computer applications (MS Word, Excel, PowerPoint), Mendeley for reference management, and SPSS for statistical data analysis. His strong laboratory skills further enhance his research capabilities, making him well-equipped to conduct sophisticated scientific investigations.

🌐 Legacy and Future Contributions

Mr. Etana’s academic legacy is rooted in his commitment to advancing analytical chemistry and its applications in environmental health. His ongoing research into the optimization of extraction methods for caffeine in Ethiopian products and the study of heavy metal contamination continues to have far-reaching implications. As he continues to lead research projects, his work will contribute significantly to the field of environmental chemistry and the sustainability of agricultural practices in Ethiopia.

🏅 Awards and Conference Presentations

Mr. Etana has been recognized for his scholarly contributions, including winning the Best Paper Award at the international SIST-SHE 22 conference in India. He also participated in the 6th Annual National Research Conference at Mattu University in Ethiopia, where he presented on the integration of research with indigenous knowledge. These accolades reflect the high regard in which his work is held in the scientific community.

📜 Short-term Courses & Certifications

Mr. Etana demonstrates a commitment to continuous professional development by completing certifications in various fields. Notably, he has completed courses in Data Analysis Fundamentals and Artificial Intelligence Fundamentals, underscoring his dedication to staying current with the latest technological advancements and integrating them into his research and teaching.

 

📖 Top Noted Publications

Evaluation of some physicochemical parameters and health risks associated with potentially toxic elements (PTEs) in agricultural soils from the southwest region of Ethiopia

Authors: Endalkachew Etana, Redwan Hussein, Abire Huluka
Journal: Journal of Hazardous Materials Advances
Year: 2025

A development in greener microextraction methods for analysis of pesticide residues in environmental water samples: A review

Authors: Endalkachew Etana, Birhanu MEKASSA
Journal: Chinese Journal of Analytical Chemistry
Year: 2024

Proximate analysis, levels of trace heavy metals and associated human health risk assessments of Ethiopian white sugars

Authors: Birhanu Mekassa, Endalkachew Etana, Lemessa B. Merga
Journal: Journal of Agriculture and Food Research
Year: 2024

yunhao zhao | Data Analysis Innovation | Best Researcher Award

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Assoc Prof Dr. yunhao zhao | Data Analysis Innovation | Best Researcher Award

Qingdao Huanghai University, China

Author Profile

Orcid 

🧑‍🎓 Early Academic Pursuits

Yunhao Zhao was Shandong, P.R. China. His academic journey began with a strong foundation in International Economics and Social Security studies, setting the stage for his future research. After completing his undergraduate education, he became an associate professor at Qingdao Huanghai University, where he also supervises undergraduate students. His quest for further knowledge continues as he pursues a Ph.D. at The Catholic University of Korea, focusing on the evolving fields of economics and social security.

👨‍🏫 Professional Endeavors

Dr. Zhao’s academic career has been marked by significant contributions in the realms of data analysis and economic research. As an All-Media Operator and Associate Professor, he actively engages in both teaching and research at Qingdao Huanghai University. His dedication to advancing knowledge in the academic sphere extends to overseeing the academic progress of undergraduate students, ensuring they are equipped with the necessary skills and insights to excel in their respective fields.

📊 Contributions and Research Focus

Dr. Zhao’s primary research areas are data analysis, internet of things (IoT), and auction theory. His most notable work focuses on congestion control in IoT systems, where he applied auction theory to improve performance and efficiency. His research contributions are significant in their potential to drive forward the development of smarter and more efficient IoT networks. Furthermore, his work on energy consumption reduction demonstrates the real-world impact of his methods, achieving a remarkable 24.13% reduction in energy usage in experimental scenarios.

🌍 Impact and Influence

Dr. Zhao’s work has already made notable contributions to the global research community, evidenced by his publication in Scientific Reports (SCI) and recognition in high-impact journals. His research on IoT and auction theory has contributed to solving critical issues in technology and energy efficiency, impacting industries reliant on smart technology. His scholarly output has the potential to influence policy and innovation in areas such as network management and resource optimization.

🔧 Technical Skills

Dr. Zhao possesses advanced technical skills in data analysis, machine learning, and network optimization, particularly within the context of IoT systems. His expertise in auction theory and its applications in real-world scenarios is a testament to his depth of understanding and innovation in these areas. He is also adept at utilizing advanced analytical tools and methods to derive actionable insights from complex datasets.

👩‍🏫 Teaching Experience

As an Associate Professor at Qingdao Huanghai University, Dr. Zhao has extensive experience in educating the next generation of scholars and professionals. His role as a supervisor for undergraduate students allows him to nurture young talent and help shape their academic journeys. His commitment to teaching is evident through his personalized mentorship approach, guiding students to succeed in both their academic and professional aspirations.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Zhao aims to continue contributing to the field of International Economics and Social Security Studies, with a strong emphasis on data-driven solutions. His work has already proven impactful, and he intends to further refine his methodologies to solve pressing global issues such as economic inequality, social security systems, and technological advancements in IoT. His legacy will undoubtedly inspire future researchers and practitioners in these fields, and his work has the potential to pave the way for groundbreaking solutions in economic policy and technological development.

🏆 Recognition and Awards

Dr. Zhao’s academic achievements have garnered recognition within the research community. He is a strong candidate for the Best Researcher Award for his ongoing contributions to data analysis and IoT research. His ability to surpass existing methodologies, particularly in terms of energy efficiency, sets him apart as an innovator in his field. His commitment to advancing knowledge and solving real-world problems makes him a deserving nominee for such accolades.

 

📖 Top Noted Publications

Congestion control in internet of things (IoT) using auction theory
    • Authors: Zhenlong Li; Yunhao Zhao
    • Journal: Scientific Reports
    • Year: 2024
Enhancing China’s green GDP accounting through blockchain and artificial neural networks (ANNs) and machine learning (ML) modeling
    • Authors: Nasi Wang; Yunhao Zhao; Jun Li; Guanfeng Cai
    • Journal: Scientific Reports
    • Year: 2024
Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)
    • Authors: Yunhao Zhao; Xiaoqing Shu
    • Journal: Scientific Reports
    • Year: 2023

Haixia Mao | Data Science | Best Researcher Award

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Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

💼 Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

📚 Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

💻 Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

📚 Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

📖Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

José Cunha Vaz | Temporal Data Patterns | Best Researcher Award

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Prof Dr. José Cunha Vaz | Temporal Data Patterns | Best Researcher Award

Association for Innovation and Biomedical Research on Light and Image, Portugal

Professional Profile 👨‍🎓

Scopus Profile

Orcid Profile

Early Academic Pursuits 📚

The journey of a distinguished academic career began with the completion of an MD at the University of Coimbra, followed by groundbreaking work across Europe. This early academic pursuit saw the completion of a PhD from the University of London Worldwide (1965) and another PhD from the University of Coimbra (1966), culminating in a Dr. Medical Science degree from the University of Coimbra in 1967. His academic training laid the foundation for a long and impactful career in medical research and clinical advancements.

Professional Endeavors 💼

Over the years, this expert has held pivotal roles as Principal Investigator (P.I.) on numerous research grants, including those from the National Institute of Health (NIH) and European Union-funded projects. His involvement with high-profile institutions and various international collaborations has made him a leader in retinal disease research, particularly within the realm of diabetic retinopathy and ocular diseases. His extensive consultancy work with industry giants such as Alcon, Novartis, and Merck further attests to his recognition in the professional sphere.

Contributions and Research Focus 🔬

His contributions to ophthalmology are monumental, particularly in the area of the Blood-Retinal Barrier (BRB). His pioneering work in identifying the anatomical location of the BRB and its subsequent breakdown in diseases like diabetes has been widely cited. He introduced vitreous fluorophotometry in 1975, a technique that revolutionized the detection of early diabetic retinopathy. His work on multimodal macular mapping has been a key innovation for the diagnosis and monitoring of retinal conditions, further cementing his legacy as a pioneer in ocular research.

Impact and Influence 🌍

His research has had a profound effect on clinical practices related to retinal diseases, influencing generations of ophthalmologists and researchers. His studies on the BRB, blood-retinal vessel permeability, and the use of imaging technologies in retinal diagnostics have shaped the treatment strategies for conditions like diabetic retinopathy and age-related macular degeneration. Through his pioneering work, he has transformed the understanding of diabetic retinal disease and its progression, particularly in terms of fluid dynamics and vascular permeability.

Academic Citations 📈

With a citation index of 4,713, his work is a cornerstone of modern ophthalmic research. His publications in top-tier journals like Ophthalmologica and The Journal of Physiology continue to be referenced in both basic and clinical research on diabetic retinopathy and retinal diseases. His contributions to high-impact journals have solidified his reputation as a leading figure in the field.

Technical Skills 🛠️

Known for his expertise in advanced imaging technologies, his technical skills include the development and application of innovative diagnostic techniques such as ocular fluorometry, confocal scanning laser fluorophotometry, and OCT-leakage technology. These tools have significantly advanced the detection and understanding of retinal pathologies. His work on multimodal imaging further highlights his technical expertise in integrating multiple diagnostic technologies to map and analyze retinal diseases in real-time.

Teaching Experience 👩‍🏫

Throughout his career, he has shared his extensive knowledge as a professor and mentor, inspiring countless students, researchers, and healthcare professionals. He has been an active participant in various scientific advisory councils and education initiatives, ensuring that his findings reach a broader audience. His editorial roles, including his tenure as Chief Editor for Ophthalmic Research and Ophthalmologica, have provided a platform for the next generation of ophthalmic researchers and clinicians to build upon his work.

Legacy and Future Contributions 🌟

His work has already left a lasting imprint on the field of ophthalmology. As a trailblazer in ocular imaging technologies and diabetic retinopathy research, his legacy will continue to shape clinical practices. With ongoing projects like the EuroVisionNet and EuroCONDOR, and new advancements in genetic polymorphisms related to retinal diseases, his contributions to understanding retinal disease progression remain vital. His continued research efforts promise to improve treatments for diabetic retinopathy, age-related macular degeneration, and other retinal conditions in the years to come.

 

Top Noted Publications 📖

  • Retinal neurodegeneration in eyes with NPDR risk phenotypes: A two‐year longitudinal study
    • Authors: Débora Reste‐Ferreira, Inês Pereira Marques, Torcato Santos, Maria Luísa Ribeiro, Luís Mendes, Ana Rita Santos, Conceição Lobo, José Cunha‐Vaz
    • Journal: Acta Ophthalmologica
    • Year: 2024
  • Characterization of central-involved diabetic macular edema using OCT and OCTA
    • Authors: Débora Reste-Ferreira, Torcato Santos, Inês Pereira Marques, Maria Luísa Ribeiro, Ana Rita Santos, António Cunha-Vaz Martinho, Conceição Lobo, José Cunha-Vaz
    • Journal: European Journal of Ophthalmology
    • Year: 2024
  • Central and Peripheral Involvement of the Retina in the Initial Stages of Diabetic Retinopathy
    • Authors: Ana Rita Santos, Ana Catarina Almeida, Ana Cláudia Rocha, Débora Reste-Ferreira, Inês Pereira Marques, António Cunha-Vaz Martinho, Luís Mendes, Torcato Santos, Warren Lewis, José Cunha-Vaz
    • Journal: Retina
    • Year: 2023
  • Serum glial fibrillary acidic protein and neurofilament light chain as biomarkers of retinal neurodysfunction in early diabetic retinopathy: results of the EUROCONDOR study
    • Authors: Hernández C, Olga Simó-Servat, Massimo Porta, Jakob Grauslund, Simon P. Harding, Ulrik Frydkjaer-Olsen, José García-Arumí, Luísa Ribeiro, Peter Scanlon, José Cunha-Vaz et al.
    • Journal: Acta Diabetologica
    • Year: 2023
  • Different Risk Profiles for Progression of Nonproliferative Diabetic Retinopathy: A 2-Year Study
    • Authors: Inês P. Marques, Maria L. Ribeiro, Torcato P. Santos, Luis G. Mendes, Débora Reste-Ferreira, Ana R. Santos, Conceição L. Lobo, José G. Cunha-Vaz
    • Journal: Ophthalmology and Therapy
    • Year: 2023
  • Perspectives of diabetic retinopathy—challenges and opportunities
    • Authors: Sobha Sivaprasad, Sagnik Sen, José Cunha-Vaz
    • Journal: Eye
    • Year: 2022
  • Characterization of 2-Year Progression of Different Phenotypes of Nonproliferative Diabetic Retinopathy
    • Authors: Luísa Ribeiro, Inês Marques, Torcato Santos, Sara Carvalho, Ana Rita B M Santos, Luís Mendes, Conceição Lobo, José Cunha-Vaz
    • Journal: Ophthalmic Research
    • Year: 2022
  • Common and rare genetic risk variants in age‐related macular degeneration and genetic risk score in the Coimbra eye study
    • Authors: Cláudia Farinha, Patricia Barreto, Rita Coimbra, Maria Luz Cachulo, Joana Barbosa Melo, José Cunha‐Vaz, Yara Lechanteur, Carel B. Hoyng, Silva R.
    • Journal: Acta Ophthalmologica
    • Year: 2022

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Fikadu Yirga | Data Analysis | Editorial Board Member

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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

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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

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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

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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