Professor at Minia university, Egypt.
Dr. Eman M.G. Younis is a distinguished academic and researcher in the fields of information systems, data mining, semantic web, machine learning, and geographic information systems (GIS). With a robust educational foundation, including a Ph.D. in Informatics from Cardiff University and numerous impactful publications, Dr. Younis has significantly contributed to advancements in data science and geospatial technologies. Her leadership roles at Minia University, Egypt, further emphasize her dedication to research, teaching, and community development.
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Education 🎓:
Dr. Eman M.G. Younis holds a Doctor of Philosophy in Informatics from Cardiff University, UK (2009–2013). Her Ph.D. thesis, titled “Hybrid Geo-spatial Query Processing on the Semantic Web,” explored the integration of semantic web technologies with spatial data queries. She earned her Master of Science in Information Technology from Menoufia University, Egypt (2004–2007), where her thesis focused on “Automatic Web Page Classification with Data Mining Techniques.” Prior to this, she completed her Bachelor of Science in Information Systems & Technology from Zagazig University, Egypt (1998–2002), graduating with honors (GPA: 82.5%). Throughout her academic journey, Dr. Younis demonstrated exceptional aptitude for research and innovation, laying the foundation for her interdisciplinary expertise in informatics, GIS, and data science. Her education reflects a consistent pursuit of cutting-edge technologies and methodologies, making her a leader in her field.
Work Experience 💼:
Dr. Eman M.G. Younis has a rich professional background encompassing teaching, research, and administrative roles. She began her academic career as a Teaching Assistant at Minia University, Egypt (2003–2009), later serving as a Lecturer (2014) and Assistant Professor (2018–2019). Her international experience includes a tenure as a Postdoctoral Researcher at Nottingham Trent University, UK (2015–2017), focusing on emotion recognition and sensor data analysis. Currently, she is an Associate Professor and Vice Dean for Community Service and Environmental Development at Minia University. Dr. Younis also chaired the Information Systems Department (2019–2021), demonstrating her leadership in academic administration. She supervises numerous master’s and Ph.D. students, fostering innovation in fields such as machine learning and GIS. Her career reflects a commitment to interdisciplinary research, academic excellence, and community engagement.
Awards and Honors
Dr. Eman M.G. Younis has been recognized for her contributions to research and academia through numerous awards and honors. She was awarded scholarships for her postgraduate studies, including funding for her Ph.D. at Cardiff University. Her innovative research in GIS, semantic web technologies, and data science has earned her accolades at international conferences. Dr. Younis has also been acknowledged for her leadership and service as Vice Dean at Minia University. Her work on real-time machine learning applications for healthcare and environmental systems has received critical acclaim. Additionally, she has contributed to collaborative international research projects, showcasing her ability to address complex, interdisciplinary challenges. These accolades underscore her dedication to advancing knowledge, mentoring students, and applying technology for societal benefit.
Research Interests:
Dr. Eman M.G. Younis’s research focuses on Geographic Information Systems (GIS), Data Mining, Semantic Web, and Artificial Intelligence. Her interdisciplinary interests include geospatial query processing, social media mining, and emotion recognition using sensor data fusion. She explores innovative applications of machine learning and deep learning in fields such as healthcare, urban planning, and environmental monitoring. Dr. Younis is also interested in hybrid online-offline learning systems, big data analytics, and real-time predictions for critical systems like healthcare and disaster management. Her work bridges theoretical advancements and practical implementations, aiming to address pressing global challenges. She integrates cutting-edge technologies like distributed machine learning and streaming systems to enhance the accuracy and efficiency of predictive models. Her ongoing projects include emotion recognition through multimodal sensor data and the application of AI in geospatial data analysis.
📚 Publications
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- Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection
Authors: E. Kanjo, E.M.G. Younis, C.S. Ang
Citations: 303
Year: 2019
- Sentiment analysis and text mining for social media microblogs using open source tools: an empirical study
Authors: E.M.G. Younis
Citations: 174
Year: 2015
- Heart disease identification from patients’ social posts, machine learning solution on Spark
Authors: H. Ahmed, E.M.G. Younis, A. Hendawi, A.A. Ali
Citations: 164
Year: 2020
- Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
Authors: E. Kanjo, E.M.G. Younis, N. Sherkat
Citations: 121
Year: 2018
- An efficient Manta Ray Foraging Optimization algorithm for parameter extraction of three-diode photovoltaic model
Authors: E.H. Houssein, G.N. Zaki, A.A.Z. Diab, E.M.G. Younis
Citations: 93
Year: 2021
- Predicting Coronavirus Pandemic in Real‐Time Using Machine Learning and Big Data Streaming System
Authors: X. Zhang, H. Saleh, E.M.G. Younis, R. Sahal, A.A. Ali
Citations: 64
Year: 2020
- NeuroPlace: Categorizing urban places according to mental states
Authors: E.M.G. Younis, L. Al-Barrak, E. Kanjo
Citations: 64
Year: 2017
- Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data
Authors: E.H. Houssein, M.E. Hosney, W.M. Mohamed, A.A. Ali, E.M.G. Younis
Citations: 40
Year: 2023
- Hybrid geo-spatial query methods on the Semantic Web with a spatially-enhanced index of DBpedia
Authors: E.M.G. Younis, C.B. Jones, V. Tanasescu, A.I. Abdelmoty
Citations: 35
Year: 2012
- Comparing automated and non‐automated machine learning for autism spectrum disorders classification using facial images
Authors: B.R.G. Elshoky, E.M.G. Younis, A.A. Ali, O.A.S. Ibrahim
Citations: 33
Year: 2022
- Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science
Authors: E.M.G. Younis, E.K.A. Chamberlain
Citations: 32
Year: 2019
- Evaluating ensemble learning methods for multi-modal emotion recognition using sensor data fusion
Authors: E.M.G. Younis, S.M. Zaki, E. Kanjo, E.H. Houssein
Citations: 29
Year: 2022
- Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model
Authors: O.A.S. Ibrahim, E.M.G. Younis
Citations: 24
Year: 2022
Conclusion
Dr. Eman M.G. Younis is an outstanding candidate for the Best Researcher Award. Her groundbreaking contributions to the fields of informatics, GIS, and machine learning, coupled with her leadership roles, technical expertise, and commitment to advancing science, make her a highly deserving nominee. With further strategic collaborations and public engagement, her already stellar impact could be further enhanced.