Hanh Nguyen | Optimization Techniques | Women Researcher Award

Dr. Hanh Nguyen | Optimization Techniques | Women Researcher Award

Doctorate at Phenikaa University, Vietnam

👨‍🎓 Profiles

🎓Academic Background

Dr. Hanh Nguyen Thi is a prominent figure in Computer Science, in Hanoi, Vietnam. She holds a PhD in Computer Science from the School of Information and Communication Technology at Hanoi University of Science and Technology (2016–2019). Her research focused on “Coverage and Connectivity Optimization in Wireless Sensor Networks,” under the guidance of Associate Professor Huynh Thi Thanh Binh. She earned her Master’s in Information Systems from the Military Technical Institute in Hanoi (2008–2010), with a thesis on a nearly linear algorithm for shortest path finding. Her journey began with a Bachelor’s in Software Engineering from Phuong Dong University, where she graduated with distinction and was ranked first in her department (2001–2006).

💼 Professional Experience

Dr. Hanh Nguyen This has been a dedicated Lecturer at Phuong Dong University since 2006 and currently serves as the Head of the Multimedia Communication Department. She has made significant contributions through her roles as an Exchange PhD Student at KLab, National Institute of Informatics in Tokyo, Japan (2017), and at the Wireless Mobile Internet and Service Lab, Korea Advanced Institute of Science and Technology (KAIST), Korea (2019). Her leadership extends to managing the establishment of the Multimedia Major and Digital Marketing Specialization at her university. Additionally, she completed a postdoctoral fellowship at the Vietnam National Foundation for Science and Technology Development (NAFOSTED) from 2020 to 2021.

🏅 Honors and Awards

Dr. Thi’s excellence has been recognized through numerous awards. In 2021, she supervised students who reached the final round of the Eure’ka Scientific Research Student Award. Her students also won 4th place at the National Science Research Conference for Students in 2020, an achievement she proudly guided. In 2017, her project was among the Top 10 Shortlisted at the AIYEHUM by IEEE Region 10 Humanitarian Activities Committee. Her early recognition includes being the National Female IT Student Representative in 2004.

🛠️ Skills and Expertise

Dr. Thi is proficient in programming languages such as C, C++, and Java, and has strong skills in database management with mySQL. She is adept in Systems Analysis and Design using UML and has extensive knowledge in Software Engineering, including SRS and UI/UX. Her communication skills are complemented by her ability to work effectively in teams and solve complex problems, honed through her research and leadership roles.

🔬 Research Interests

Her research interests include evolutionary techniques, wireless sensor networks, optimization algorithms, and software engineering. Dr. Thi’s work continues to influence and advance these areas, contributing to both academic knowledge and practical applications.

📖 Publications
Striking the perfect balance: Multi-objective optimization for minimizing deployment cost and maximizing coverage with Harmony Search
    • Authors: Vu, Q.T., Nguyen, P.T., Nguyen, T.H., Trinh, V.C., Gidlund, M.
    • Journal: Journal of Network and Computer Applications
    • Year: 2024
Effect of Pretreatment Methods on Juice Extraction Yield and Nutritional Composition of Cashew Apple (Anacardium Occidentale L.) Harvested from Binh Phuoc (Vietnam)
    • Authors: Hanh, N.T., Trang, N.T., Anh, N.T.M., Thuy, N.T., Long, N.V.
    • Journal: Current Research in Nutrition and Food Science
    • Year: 2024
A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks
    • Authors: Binh, H.T.T., Hanh, N.T., Tan, N.P., Minh, N.H.N., Phap, H.C.
    • Journal: Evolutionary Intelligence
    • Year: 2024
Uav Path Planning For Backscatter-and Cache-aided Wireless Power System Under Imperfect Csi
    • Authors: Banh, T.Q.M., Trinh, V.C., Nguyen, T.H., Huynh, T.T.B.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2023
Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
    • Authors: Hanh, N.T., Binh, H.T.T., Son, N.V., Trang, N.T., Lan, P.N.
    • Journal: Sustainable Computing: Informatics and Systems
    • Year: 2023

fazila malik | Optimization techniques | Excellence in Innovation

Ms. fazila malik ,Optimization techniques, Excellence in Innovation

Ms. fazila malik at  Iqra international university islamabad H9 campus, Pakistan

Author Profile

Scopus Profile

🌟Summary

Fazila Malik is a dedicated computer science lecturer with expertise in artificial intelligence, data mining, and natural language processing. She holds two master’s degrees in computer science from COMSATS University Islamabad, where she was a batch topper during her MS studies. Fazila has experience teaching at various universities and conducting remote research. Her technical skills include Python, C++, Java, TensorFlow, Scikit-learn, and Latex. Fazila has contributed to multiple research projects and has several publications in reputable journals.

🎓Education

  • Master of Sciences (MS) in Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2020-2022) | CGPA: 3.8/4.0 (Batch Topper)
  • Master of Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2017-2019) | CGPA: 3.1/4.0

💼 Professional Experience

  • Lecturer, Iqra University Islamabad, H9 Campus (September 2023 – Present)
  • Lecturer (Contract), University of Education, Attock Campus (September 2022 – August 2023)
  • Research Experience (Remotely) (January 2020 – Present)

🔬 Research Interests

My research interests lie at the intersection of artificial intelligence and data science, with a focus on Natural Language Processing (NLP), evolutionary algorithms, and neural networks. I am particularly passionate about developing innovative methods to analyze and interpret complex data patterns. My work in NLP involves creating models for text analysis, sentiment detection, and textual similarities extraction, leveraging machine learning and deep learning techniques. Additionally, I am intrigued by the potential of evolutionary algorithms to solve optimization problems and enhance clustering methods. My ongoing projects explore social media analysis and pattern mining, aiming to uncover hidden insights and contribute to advancements in the field of data science.

📖 Publication Top Noted

Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

    • Authors: Alduailij, M.; Khan, Q.W.; Tahir, M.; …; Alduailij, M.; Malik, F.
    • Journal: Symmetry
    • Volume: 14
    • Issue: 6
    • Pages: 1095
    • Year: 2022

A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering

    • Authors: Malik, F.; Khan, S.; Rizwan, A.; Atteia, G.; Samee, N.A.
    • Journal: IEEE Access
    • Volume: 10
    • Pages: 97310–97326
    • Year: 2022