Maria Habib | Optimization | Best Researcher Award

Ms. Maria Habib | Optimization | Best Researcher Award

Ms. Maria Habib, Granada University/ Samsung R&D (SRJO), Jordan.

Maria Habib is a distinguished researcher and AI engineer whose journey spans academia and industry. With a strong foundation in Computer Engineering, she advanced her expertise through a Master’s in Web Intelligence and is currently pursuing a Ph.D. in Information Technology and Communication. Maria’s professional endeavors include leading AI projects at Samsung R&D, transforming telehealth services at Altibbi, and contributing to bioinformatics at McGill University. Her research focuses on artificial intelligence, machine learning, evolutionary algorithms, and NLP, producing innovative solutions and influential publications. Her work has significantly impacted telemedicine, educational data mining, and speech technologies, establishing her as a transformative force in AI.

Profile

Scholar

Early Academic Pursuits 🎓

Maria Habib embarked on her academic journey with a robust foundation in Computer Engineering, earning her Bachelor’s degree from the University of Jordan in 2014. Demonstrating early promise, she excelled in her Master’s program in Web Intelligence at the prestigious King Abdullah II School for Information Technology, attaining an outstanding GPA of 3.91/4. Her passion for leveraging technology to address real-world challenges was evident from the outset, as she explored advanced concepts in information systems and web technologies. Maria is currently pursuing her Ph.D. in Information Technology and Communication at Granada University, Spain, where she continues to delve into cutting-edge AI research.

Professional Endeavors 💼

Maria’s career trajectory reflects a seamless blend of academic rigor and industry innovation. At Samsung R&D Institute in Jordan, she leads AI projects focusing on speech recognition and natural language processing, showcasing her prowess in automation and advanced search systems. Prior to this, Maria honed her skills at Altibbi, where she developed machine learning and deep learning models to revolutionize telehealth services. Her expertise spans diverse roles, from Python development for logistics platforms at Polares LLC to teaching Computer Science at ADS School. Each position has deepened her technical acumen and solidified her reputation as a versatile problem-solver.

Contributions and Research Focus 🔬

Maria’s research centers on artificial intelligence, machine learning, and evolutionary algorithms, emphasizing their transformative potential in healthcare, education, and NLP. Her collaborations with renowned academics like Prof. Hossam Faris and Dr. Ghaith Rabadi have resulted in influential publications in prestigious journals. Her work extends to bioinformatics, where she contributed to microbiome data visualization during her tenure as a Graduate Research Trainee at McGill University. As a member of the Evo-ML research group, Maria explores innovative solutions that bridge academia and industry, reinforcing her commitment to advancing AI for societal benefit.

Accolades and Recognition 🏆

Maria’s dedication to excellence has not gone unnoticed. Her stellar academic performance earned her accolades throughout her educational journey, culminating in a Master’s GPA of 3.91/4.0. Her professional roles have been marked by commendations for innovation and leadership, particularly at Samsung R&D and Altibbi. References from distinguished mentors like Prof. Ibrahim Aljarah and Prof. Jiangou Xia underscore the high regard in which she is held within the academic and professional communities.

Impact and Influence 🌍

Through her work in AI, Maria has significantly impacted fields such as telemedicine, educational data mining, and speech understanding. Her contributions to Altibbi transformed telehealth services, making them more accessible and efficient. Her teaching and mentorship roles have inspired students and peers alike, fostering a new generation of tech enthusiasts. Her initiatives in AI automation and optimization continue to resonate within the global technology landscape.

Legacy and Future Contributions 🌟

Maria’s journey is far from over. As an AI Project Lead and researcher, she is poised to shape the future of speech and language technologies. Her ongoing Ph.D. research promises groundbreaking insights into AI and communication systems. With a clear vision for the future, Maria aspires to bridge the gap between research and real-world applications, ensuring her legacy as a pioneer in computational innovation.

📚 Publications

  1. Title: Intelligent detection of hate speech in Arabic social network: A machine learning approach
    Authors: I. Aljarah, M. Habib, N. Hijazi, H. Faris, R. Qaddoura, B. Hammo, …
    Year: 2021

 

  1. Title: A dynamic locality multi-objective salp swarm algorithm for feature selection
    Authors: I. Aljarah, M. Habib, H. Faris, N. Al-Madi, A.A. Heidari, M. Mafarja, …
    Year: 2020

 

  1. Title: Augmented whale feature selection for IoT attacks: Structure, analysis, and applications
    Authors: M. Mafarja, A.A. Heidari, M. Habib, H. Faris, T. Thaher, I. Aljarah
    Year: 2020

 

  1. Title: Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data
    Authors: I. Almomani, R. Qaddoura, M. Habib, S. Alsoghyer, A. Al Khayer, I. Aljarah, …
    Year: 2021

 

  1. Title: Evolutionary inspired approach for mental stress detection using EEG signal
    Authors: L.D. Sharma, V.K. Bohat, M. Habib, A.Z. Ala’M, H. Faris, I. Aljarah
    Year: 2022

 

  1. Title: Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context
    Authors: H. Faris, I. Aljarah, M. Habib, P.A. Castillo
    Year: 2020

 

  1. Title: An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir
    Authors: H. Tao, M. Habib, I. Aljarah, H. Faris, H.A. Afan, Z.M. Yaseen
    Year: 2021

 

  1. Title: Optimizing extreme learning machines using chains of salps for efficient android ransomware detection
    Authors: H. Faris, M. Habib, I. Almomani, M. Eshtay, I. Aljarah
    Year: 2020

 

  1. Title: Salp chain-based optimization of support vector machines and feature weighting for medical diagnostic information systems
    Authors: A.M. Al-Zoubi, A.A. Heidari, M. Habib, H. Faris, I. Aljarah, M.A. Hassonah
    Year: 2020

 

 

Conclusion

Maria Habib’s career exemplifies the intersection of technical expertise and societal impact. Through her leadership and innovative research, she has contributed to advancements in healthcare, communication, and education. Her commitment to bridging research and application ensures her legacy as a pioneer in AI. Maria’s inspiring journey underscores the power of determination and innovation, positioning her as a role model in the global technology community.

Chen Wang | neural network application | Best Researcher Award

Prof Dr.Chen Wang | neural network application | Best Researcher Award

Prof Dr Chen Wang School of Mining, Guizhou University China

Wang Chen is a distinguished professor at Guizhou University, specializing in mining engineering and resources and environment. He holds a PhD from the China University of Mining and Technology and has significant expertise in mining methods, rock mechanics, mining system engineering, and the kinematic behavior of rock layers in karst regions.

profile

scopus

📚 Recruitment Discipline Direction

Mining Engineering, Resources and Environment

🔬 Main Research Fields and Directions

Mining Methods,Rock Mechanics,Mining System Engineering,Roadway Support,Kinematic Mechanisms of Rock Layers in Karst Mountainous Areas.

💼 Key Research Projects (2018 – Present)

National Natural Science Foundation General Project (52174072)“Study on the Mechanisms of Rock Layer Movement under Repeated Mining in Karst Mountainous Areas,” 2022.01-2025.12, 580,000 RMB, Principal Investigator, ongoing. 💰National Natural Science Foundation Youth Science Fund Project (51904081)“Study on the Mechanisms of Instability Induced by Mining in Shallowly Buried Coal Layers in Karst Terrain,” 2020.01-2022.12, 240,000 RMB, Principal Investigator, ongoing. 🔍

✍️ Journal Articles:

Wang Chen et al. “An Expert System for Equipment Selection of Thin Coal Seam Mining.” (2019) .Wang Chen et al. “Optimal Selection of a Longwall Mining Method for a Thin Coal Seam Working Face.” (2016) .Wang Chen, Zhou Jie. “New Advances in Automatic Shearer Cutting Technology.” (2021) ⚙️

🥇 Achievements

Patents: 5 granted invention patents related to coal mining technology. Awards: Multiple research awards for contributions to mining technology. 🏆

📚 Publications

  1. Title: Study on strength prediction and strength change of Phosphogypsum-based composite cementitious backfill based on BP neural network
    Authors: Wu, M., Wang, C., Zuo, Y., Zhang, J., Luo, Y.
    Year: 2024
    Journal: Materials Today Communications
    Volume: 41
    Article Number: 110331

 

  1. Title: Correction: Determination of working resistance of support parameter variation of large mining height support: the case of Caojiatan coal mine
    Authors: Xue, B., Zhang, W., Wang, C.
    Year: 2024
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources
    Volume: 10
    Issue: 1
    Pages: 14

 

  1. Title: Determination of working resistance of support parameter variation of large mining height support: the case of Caojiatan coal mine
    Authors: Xue, B., Zhang, W., Wang, C.
    Year: 2024
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources
    Volume: 10
    Issue: 1
    Pages: 1

 

  1. Title: Evolution of Broken Coal’s Permeability Characteristics under Cyclic Loading–Unloading Conditions
    Authors: Luo, L., Zhang, L., Pan, J., Wang, C., Li, S.
    Year: 2024
    Journal: Natural Resources Research
    Volume: 33
    Issue: 5
    Pages: 2279–2297

 

  1. Title: Preparation and characterization of green lignin modified mineral cementitious firefighting materials based on uncalcined coal gangue and coal fly ash
    Authors: Dou, G., Wang, C., Zhong, X., Qin, B.
    Year: 2024
    Journal: Construction and Building Materials
    Volume: 435
    Article Number: 136799

 

  1. Title: Mining Technology Evaluation for Steep Coal Seams Based on a GA-BP Neural Network
    Authors: Li, X., Wang, C., Li, C., Luo, Y., Jiang, S.
    Year: 2024
    Journal: ACS Omega
    Volume: 9
    Issue: 23
    Pages: 25309–25321

 

  1. Title: Capturing rate- and temperature-dependent behavior of concrete using a thermodynamically consistent viscoplastic-damage model
    Authors: Tao, J., Yang, X.-G., Lei, Y., Wang, C.
    Year: 2024
    Journal: Construction and Building Materials
    Volume: 422
    Article Number: 135791

Conclusion

Wang Chen’s extensive research and numerous publications significantly contribute to the field of mining engineering. His focus on the complexities of karst geology and the development of intelligent mining technologies positions him as a leader in advancing mining safety and efficiency. His ongoing projects reflect a commitment to addressing contemporary challenges in the mining sector, particularly in relation to environmental sustainability and resource management.