Samia Haouassi | Computer Science | Best Researcher Award

Samia Haouassi | Computer Science | Best Researcher Award

Samia Haouassi, Dalian university of technology, Algeria

Samia Haouassi is a dedicated researcher in Computer Science, specializing in image processing and intelligent systems. Originating from Khenchela, Algeria, she has pursued an international academic journey that reflects her passion for technology and cross-cultural collaboration. Samia earned her Bachelor’s and Master’s degrees from Constantine University 2, Algeria, before moving to China for her PhD at Dalian University of Technology. Her multilingual abilities in Arabic, French, English, and Chinese have allowed her to navigate academic and multicultural environments with ease. She is well-regarded for her strong communication and organizational skills, demonstrated by leading cultural exchange events and mentoring peers. Samia’s research contributions span image dehazing, iris recognition, and control systems. Beyond academics, she is actively involved in promoting cultural diversity and academic collaboration. With a foundation in both theory and practical applications, she aims to contribute meaningfully to the development of intelligent computer systems and global scientific advancement.

Publication Profile

orcid

Education

Samia Haouassi’s academic journey showcases a strong foundation in Computer Science, developed across Algeria and China. She began her higher education at Constantine University 2 in Algeria, where she completed her Bachelor’s degree in Computer Science (2010–2012). Continuing at the same university, she earned her Master’s degree in Computer Science and its Applications (2012–2014). Her academic excellence earned her prestigious government scholarships, enabling her to pursue a PhD in Computer Science and its Applications at Dalian University of Technology, China (2015–2024). During her doctoral studies, Samia expanded her research scope and honed her skills in advanced computational topics such as image processing, machine learning, and control systems. Her education has been supported by full scholarships from both the Algerian government and Dalian University, recognizing her academic potential and commitment to research. She is fluent in Arabic and French, and proficient in English and Chinese (HSK 3), supporting her global academic engagement.

Experience

Samia Haouassi brings a blend of academic rigor and practical engagement through her research and extracurricular roles. During her doctoral studies at Dalian University of Technology, she actively contributed to the university’s international environment by leading the Arabic Culture Stand at the Cultural Festival in 2016 and 2017. This leadership experience reflects her organizational and managerial strengths. Samia also took part in research projects, authoring papers in fields like image dehazing, iris recognition, and iterative learning control, showcasing her expertise in machine vision and intelligent algorithms. Beyond research, she demonstrated strong communication and mentorship capabilities by supporting peers in navigating cross-cultural academic environments. Her experience as a scholarship recipient and cultural ambassador highlights her adaptability, leadership, and collaborative spirit. By integrating technical excellence with multicultural awareness, she exemplifies the modern researcher who is not only skilled in their field but also contributes to inclusive and diverse academic communities.

Awards and Honors

Samia Haouassi has been recognized with multiple prestigious awards and scholarships that reflect her academic excellence and research potential. From 2014–2015, she was awarded a scholarship by the Algerian government under an international exchange program, enabling her to expand her academic experience beyond national borders. In 2015, she was granted a fully funded PhD scholarship by Dalian University of Technology, one of China’s top institutions, to pursue advanced research in Computer Science. These scholarships were highly competitive and are a testament to her outstanding academic profile. In addition to academic honors, her cultural contributions at Dalian University were appreciated, as she led and organized the Arabic Culture Stand at the university’s Cultural Festival in 2016 and 2017. These accolades showcase both her academic dedication and her efforts in promoting cultural understanding and diversity, making her a well-rounded recipient of both academic and social recognition.

Research Focus

Samia Haouassi’s research focuses on intelligent systems within the domain of Computer Science and its Applications, with special emphasis on image processing, biometric recognition, and control algorithms. Her doctoral work at Dalian University of Technology centers on image dehazing—enhancing visual clarity in low-visibility environments using advanced filtering and machine learning methods. She also explores iris recognition technologies, developing secure and accurate biometric identification systems. In the area of iterative learning control (ILC), she investigates how systems can adapt and improve over time through feedback and repetition, with potential applications in robotics and automation. Her interdisciplinary approach integrates computer vision, pattern recognition, and adaptive systems. By addressing both theoretical challenges and practical applications, Samia aims to develop robust, real-world solutions for intelligent image analysis and control. Her work holds promise for innovation in security, automation, and human-computer interaction, bridging the gap between algorithmic research and its societal applications.

Publication Top Notes

📄 Image Dehazing Based on Multi-scale Fusion Using Dark Channel Prior
📄 Efficient Iris Recognition Using Enhanced Local Binary Patterns
📄 Iterative Learning Control for Repetitive Tasks in Dynamic Systems

Shohoni Mahabub | Computer Science | Industry-Driven Citation Excellence Award

Ms. Shohoni Mahabub | Computer Science | Industry-Driven Citation Excellence Award

Ms. Shohoni Mahabub, Washington Glass, United States

Ms. Shohoni Mahabub is a highly motivated and results-driven professional with a diverse academic background and extensive experience in business analysis, project management, and data-driven decision-making. She currently serves as a Trainee Business Analyst at Washington Glass & Window Repair in Virginia, USA, where she plays a critical role in identifying and resolving process gaps, performing root cause analysis, and enhancing business operations. Her expertise includes data interpretation, quality control, IVR system optimization, and user support through data visualization tools such as Power BI, Tableau, and Spotfire. Shohoni’s proactive approach, attention to detail, and ability to see the “big picture” have enabled her to effectively collaborate with cross-functional teams and manage complex projects.

Education:

Ms. Shohoni Mahabub holds a Master of Science in Information Technology from Washington University of Science & Technology, Tysons Corner, VA (December 2023). She also earned an MBA in Human Resources Management from East West University, Dhaka, Bangladesh (April 2017), and a BBA in Accounting and Business Management from Heriot Watt University, Edinburgh, Scotland, UK (April 2014). Her academic background is complemented by a Higher Diploma in Accounting from the Scottish Qualification Authority (December 2012).

Professional Profiles:

Google Scholar

Professional Experience:

As a Trainee Business Analyst at Washington Glass & Window Repair, Virginia, USA (September 2024 – ongoing), Ms. Mahabub has demonstrated her ability to:

Identify and resolve process gaps through root cause analysis.

Interpret complex data and communicate insights to stakeholders.

Optimize workflows, particularly for IVR systems, and implement enhancements.

Collaborate cross-functionally, conduct user acceptance testing (UAT), and perform cost-benefit analysis.

Skills and Expertise:

Ms. Mahabub has a broad skill set, including:

Database Management

Project Management

Business Writing and Correspondence

Risk and Conflict Management

Presentation Development

Interpersonal Communication

She also has expertise in data visualization tools like Power BI, Tableau, and Spotfire, which are valuable for data-driven research.

Certifications and Professional Development:

Ms. Mahabub has completed several certifications, including:

Certified Business Analyst Professional (CBAP) – IIBA

Certification in Business Data Analyst (CBDA) – IIBA

Professional Business Analysis (PBA) – PMI

Business Analyst and Project Manager Collaboration – PMI and LinkedIn Learning

Talking to AI: Prompt Engineering – PMI

Generative AI Overview – PMI

She is also pursuing a “Business Analyst Program” from Harvard Business University and has completed a course on “Business Analyst with Agile Scrum” from PeopleNTech Institute of Technology.

Professional Memberships:

Ms. Mahabub is an active member of several prestigious organizations, including:

International Institute of Business Analysts (IIBA)

Project Management Institute (PMI)

IEEE (the world’s largest technical professional organization)

International Association of Professional Organizations (IAPO)

American Society of Administrative Professionals (ASAP)

Publications:

“Object detection and classification of tomato leaf disease using advanced deep learning model”

“AI in symptom analysis: Differentiating Monkeypox from Other Viral Infections Journal”

“Accelerating Digital Transformation: Strategies for Utilizing Generative AI to Create Value and Transform
Company Operations”

“Redefining Data-Driven Decision Making: Generative AI as a Catalyst for Smarter Business Analytics”

Conclusion:

Ms. Shohoni Mahabub is a highly motivated and skilled professional with significant potential for contributing to industry-driven research and innovation. Her technical expertise, academic background, and certifications position her as a strong candidate for future recognition. However, to fully align with the Research for Industry-Driven Citation Excellence Award, she should focus on increasing her research output, contributing to peer-reviewed publications, and enhancing her community engagement through mentoring or knowledge dissemination initiatives.

 

 

 

 

  •