Eman Younis | Artificial Intelligence | Best Researcher Award

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Prof. Eman Younis | Artificial Intelligence | Best Researcher Award 🏆

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 

    • 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.

 

 

Ali Hussein Abdulwahhab | Artificial Intelligence | Best Researcher Award

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Ali Hussein Abdulwahhab | Artificial Intelligence | Best Researcher Award

Dotorate student at  Altinbas university, Turkey

Ali Hussein Abdulwahhab is a highly motivated and detail-oriented researcher specializing in Electrical, Electronic, and Computer Engineering, with a strong focus on machine learning and deep learning technologies. His research spans various domains, including medical image analysis, brain signal processing, and Brain-Computer Interface (BCI) systems. With numerous published research papers and expertise across diverse data modalities such as histopathology, PET-CT, and EEG data, Ali is dedicated to advancing technology for practical applications in healthcare and communication systems.

 

Professional Profile 

🎓 Education

Ali completed his Bachelor’s degree in Electrical Engineering from Mustansiriyah University in Baghdad, Iraq, from 2012 to 2016. He then pursued a Master’s degree in Electrical-Electronics Engineering at Istanbul Gelisim University in Turkey, graduating in 2021. Currently, he is enrolled in a Doctorate program in Electrical-Computer Engineering at Altinbas University in Istanbul, where he is furthering his research in advanced engineering techniques and applications.

🏢 Work Experience

With a solid background in research and practical applications, Ali has contributed significantly to projects involving deep learning techniques for medical imaging and signal processing. His professional experience includes developing BCI systems for controlling drones based on human concentration and eye-blinking, as well as conducting projects aimed at detecting driver fatigue states through EEG signal analysis. He has also been involved in various academic and conference presentations, showcasing his commitment to sharing knowledge in his field.

🧬 Skills

Ali possesses a diverse skill set that includes expertise in research methodology, scientific writing, deep learning, machine learning, image processing, and brain signal processing. His technical proficiencies in Python and various data analysis tools enhance his ability to conduct rigorous research. Additionally, his organizational and time management skills, coupled with effective communication and teamwork abilities, make him a valuable asset in collaborative research environments.

Awards and Honors 🏆

Ali has received multiple certifications and honors throughout his academic career, including a Certificate of Excellence in Reviewing from the Journal of Advances in Biology & Biotechnology and a Certificate of Excellence in Peer-Reviewing from BP International. These accolades recognize his contributions to the academic community and his commitment to maintaining high research standards.

Membership 🤝

He is an active member of various professional organizations related to electrical engineering and computer science. His memberships facilitate networking opportunities and collaboration with fellow researchers, enhancing his professional development and contribution to the field.

Teaching Experience 📚

Ali has gained teaching experience during his academic journey, where he has engaged in instructing students on topics related to electrical engineering and advanced computational techniques. His role as a teaching assistant has allowed him to mentor students and share his knowledge, contributing to the development of the next generation of engineers.

🔬 Research Focus

Ali’s primary research focus lies in the application of deep learning and machine learning techniques in medical imaging, brain signal processing, and the development of innovative BCI systems. He aims to enhance the accuracy and efficiency of medical diagnoses through advanced imaging techniques and contribute to the evolution of communication systems by improving brain-computer interactions. His ongoing research seeks to address critical challenges in healthcare and technology through cutting-edge methodologies.

📚 Publication 

  • Title: Analysis of potential 5G transmission methods concerning Bit Error Rate
    Authors: Abdulwahhab Mohammed, A., Abdulwahhab, A.H.
    Year: 2024
    Citation: AEU – International Journal of Electronics and Communications, 184, 155407.
  • Title: Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
    Authors: Abdulwahhab, A.H., Abdulaal, A.H., Thary Al-Ghrairi, A.H., Mohammed, A.A., Valizadeh, M.
    Year: 2024
    Citation: Chaos, Solitons and Fractals, 181, 114700.
  • Title: A Review on Medical Image Applications Based on Deep Learning Techniques
    Authors: Abdulwahhab, A.H., Mahmood, N.T., Mohammed, A.A., Myderrizi, I., Al-Jumaili, M.H.
    Year: 2024
    Citation: Journal of Image and Graphics, 12(3), pp. 215–227.
  • Title: Drone Movement Control by Electroencephalography Signals Based on BCI System
    Authors: Abdulwahhab, A.H., Myderrizi, I., Mahmood, M.K.
    Year: 2022
    Citation: Advances in Electrical and Electronic Engineering, 20(2), pp. 216–224.

Yaser Azimi | Artificial Intelligence | Best Researcher Award

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Yaser Azimi | Artificial Intelligence | Best Researcher Award

Assistant Professor at  Urmia University, Iran 

Yaser Azimi is a distinguished professional in the field of [specific field or industry], recognized for his contributions to [specific contributions or notable projects]. With a robust academic background and extensive experience, he has made significant strides in [relevant aspects of his work]. His dedication to advancing knowledge and practice in his field makes him a respected figure among peers and students alike.

 

Professional Profile 

🎓 Education

Yaser Azimi holds a [degree] in [field of study] from [University Name], where he graduated with [honors or notable achievements]. He furthered his education by obtaining a [higher degree] in [specialization] from [another University Name], focusing on [specific area of study]. His educational background has provided him with a solid foundation in [relevant skills or knowledge areas], which he applies in his professional endeavors.

🏢 Work Experience

With over [number] years of experience in [specific industry or field], Yaser has held various positions that have honed his skills and expertise. He began his career as a [first job title] at [Company/Organization Name], where he [briefly describe responsibilities and achievements]. Over the years, he has progressed to roles such as [list subsequent job titles and companies], contributing to projects that [describe notable projects or initiatives]. His diverse experience equips him to handle complex challenges in his field effectively.

🧬 Skills

Yaser possesses a wide array of skills that contribute to his success as a [profession]. His expertise includes [list relevant skills, e.g., data analysis, project management, research methodologies, etc.]. Additionally, he is proficient in [specific software, tools, or techniques], which enhances his capability to deliver high-quality work. His strong communication and leadership skills enable him to collaborate effectively with colleagues and guide teams toward achieving common goals.

Awards and Honors 🏆

Throughout his career, Yaser has been recognized with several awards and honors for his outstanding contributions. Notable accolades include [list specific awards, recognitions, or honors received], highlighting his commitment to excellence and innovation in his field. These recognitions reflect his dedication to advancing [specific aspects of his profession] and his impact on the community.

Membership 🤝

Yaser is an active member of several professional organizations, including [list relevant organizations or associations]. His involvement in these memberships allows him to stay updated on industry trends, network with fellow professionals, and contribute to the advancement of [specific field or profession]. His commitment to professional development is evident through his participation in [mention any committees, boards, or special initiatives].

Teaching Experience 📚

In addition to his professional work, Yaser has a passion for education and has served as a [teaching position, e.g., lecturer, professor] at [institution or organization]. His teaching experience includes courses on [specific subjects or topics], where he inspires students to explore [relevant concepts or areas]. He is known for his engaging teaching style and commitment to fostering a supportive learning environment.

🔬 Research Focus

Yaser’s research focuses on [specific areas of research or interest], aiming to [describe the goals or objectives of his research]. He has published numerous papers in esteemed journals and has presented his work at various conferences, contributing to the body of knowledge in [relevant field]. His research not only advances theoretical understanding but also has practical implications for [mention specific applications or industries].

📚 Publication 

  • Title: Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2024
    Citations: 0
  • Title: Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and beyond Networks: A Survey
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2022
    Citations: 23
  • Title: Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2022
    Citations: 37
  • Title: Improvement of minimum disclosure approach to authentication and privacy in RFID systems
    Authors: M.H.F. Kordlar, Yaser Azimi
    Year: 2015
    Citations: 0
  • Title: Improvement of quadratic residues based scheme for authentication and privacy in mobile RFID
    Authors: Yaser Azimi, J. Bagherzadeh
    Year: 2015
    Citations: 3

JiaLi Zhu | Artificial Intelligence | Best Researcher Award

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Ms JiaLi Zhu | Artificial Intelligence | Best Researcher Award 🏆

Research Fellow at University of Naples Federico II , Italy🎓

Jiali Zhu is a Senior Algorithm Engineer at Alipay, Ant Group with expertise in machine learning and deep learning. She holds a Master’s degree in Computer Technology from Southeast University, completed in June 2023 . Since July 2023, Jiali has worked as a Machine Learning Algorithm Engineer at Ant Group’s Alipay, focusing on cutting-edge algorithm development .

Professional Profile

Education🎓

Jiali Zhu earned a Master’s degree in Computer Technology from Southeast University in June 2023. Her academic journey reflects a strong foundation in advanced computing and algorithm design.

💼Work Experience

In July 2023, she embarked on her professional career as a Machine Learning Algorithm Engineer at Ant Group’s Alipay. She now holds the title of Senior Algorithm Engineer, where she works on innovative projects in machine learning and AI applications.

 🛠️Skills

Jiali is skilled in machine learning, deep learning, medical imaging technologies, and multimodal language models. Her expertise spans advanced algorithm design, attention mechanisms, and quantitative susceptibility mapping.

🏆Awards and Honors

She is a nominee for the “Best Researcher Award,” acknowledging her significant contributions in the field of machine learning and medical imaging.

 Research Focus 🔬

Jiali’s research focuses on integrating deep learning with medical imaging. She has contributed to projects like MobileFlow, a multimodal LLM for mobile GUI agents, and DE-Net, a detail-enhanced MR reconstruction network.

 

📖Publications : 

  • DE-Net: Detail-enhanced MR reconstruction network via global-local dependent attention
    📅 Year: 2024
    📖 Journal: Biomedical Signal Processing and Control
    🧠 Authors: J. Zhu, D. Hu, W. Mao, J. Zhu, R. Hu, Y. Chen
  • MobileFlow: A Multimodal LLM For Mobile GUI Agent
    📅 Year: 2024
    📖 Journal: arXiv preprint (arXiv:2407.04346)
    🧠 Authors: S. Nong, J. Zhu, R. Wu, J. Jin, S. Shan, X. Huang, W. Xu
  • Edge prior guided dictionary learning for quantitative susceptibility mapping reconstruction
    📅 Year: 2022
    📖 Journal: Quantitative Imaging in Medicine and Surgery
    🧠 Authors: J. Du, Y. Ji, J. Zhu, X. Mai, J. Zou, Y. Chen, N. Gu