Education
Ms. Sunzida Siddique has an impressive academic background, which reflects her dedication and aptitude in the field of Computer Science and Engineering. She holds a Master of Science (M.Sc.) in Computer Science from Jahangirnagar University, where she graduated with a remarkable CGPA of 3.83. Her academic journey also includes a Bachelor of Science (B.Sc.) in Computer Science & Engineering from Daffodil International University, where she achieved a strong CGPA of 3.70. Prior to her university education, Ms. Siddique completed her Higher Secondary Certificate from Narsingdi Model College in 2015, securing a perfect 5.00 in the Science group. She also earned a Secondary School Certificate from Brahmondi Girl’s High School in 2013, where she similarly excelled with a perfect score of 5.00. Ms. Siddique’s consistent academic excellence throughout her educational journey highlights her commitment to mastering her field and her readiness to contribute to cutting-edge research and technological advancements.
Experience
Ms. Sunzida Siddique has gained valuable professional experience in both technical and administrative roles. Since February 2023, she has been working as a Jr. Software Engineer at Silicon Orchard Ltd., where she applies her skills in AI, machine learning, deep learning, cybersecurity, and generative AI to solve complex analytical problems. Her work focuses on leveraging cutting-edge technologies to address challenges in various domains. Prior to this, Ms. Siddique served as an Office Executive at Future Cloud Bangladesh Ltd. from April 2021 to January 2023, where she handled customer service, administrative duties, and maintained effective communication through email and phone. This role honed her multitasking and communication skills while allowing her to gain valuable experience in organizational operations. Her professional journey reflects a strong
Research Interests
Ms. Sunzida Siddique’s research interests lie at the intersection of Artificial Intelligence (AI), Machine Learning, Deep Learning, and Cybersecurity. She is particularly focused on exploring innovative solutions through AI-driven techniques, such as natural language processing and computer vision, to address real-world challenges. Her work includes projects like Bengali Continuous Speech Voice-Based Gender Classification and Machine Learning-based Book Reading Level Prediction, where she applies machine learning algorithms to enhance language processing and educational tools. Additionally, Ms. Siddique is interested in the integration of Physics Guided Neural Networks and Knowledge Graphs to solve complex scientific problems. Her passion for advancing Generative AI and Cybersecurity further drives her research, as she aims to create secure, efficient, and intelligent systems that can transform industries and improve everyday life.
Skills
Ms. Sunzida Siddique possesses a diverse skill set that combines technical proficiency with strong interpersonal capabilities. She is well-versed in programming languages such as C, Java, and Python, with a particular focus on AI and Machine Learning applications. Her expertise extends to utilizing frameworks and libraries to develop solutions in deep learning and cybersecurity. In addition to her programming skills, Ms. Siddique is proficient in web development technologies, including HTML5, CSS3, Bootstrap5, and JavaScript. She is also adept at using tools like Microsoft Word, Excel, and PowerPoint, which support her in documentation, data analysis, and presentation tasks. Her multitasking abilities, coupled with strong communication and leadership skills, enable her to collaborate effectively and manage projects efficiently. These skills, along with her commitment to continuous learning, position Ms. Siddique as a highly capable and adaptable professional.
Title: Survey on machine learning biases and mitigation techniques
- Authors: S Siddique, MA Haque, R George, KD Gupta, D Gupta, MJH Faruk
- Journal: Digital
- Volume: 4
- Issue: 1
- Pages: 1-68
- Cited by: 9
- Year: 2023
Title: Machine learning-based model for predicting stress level in online education due to coronavirus pandemic: a case study of Bangladeshi students
- Authors: S Siddique, S Baidya, MS Rahman
- Conference: 2021 5th International Conference on Electrical Information and Communication Technology (EICT)
- Cited by: 8
- Year: 2021
Title: Cyber Security issues in the industrial applications of digital twins
- Authors: S Siddique, MA Haque, RH Rifat, R George, K Shujaee, KD Gupta
- Conference: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
- Pages: 873-878
- Cited by: 4
- Year: 2023
Title: Challenges and opportunities of computational intelligence in industrial control system (ICS)
- Authors: S Siddique, MA Haque, RH Rifat, LR Das, S Talukder, SB Alam, KD Gupta
- Conference: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
- Pages: 1158-1163
- Cited by: 2
- Year: 2023
Title: Deep Learning Modeling for Gourd Species Recognition Using VGG-16
- Authors: MM Hasan, K Alam, S Siddique, TA Topu, MT Habib, MS Uddin
- Book: Computer Vision and Machine Learning in Agriculture, Volume 3
- Pages: 19-35
- Cited by: 2
- Year: 2023
Title: Computer Vision and Machine Learning in Agriculture, Volume 3
- Authors: JC Bansal, MS Uddin
- Publisher: Springer Verlag, Singapore
- Cited by: 2
- Year: 2023
Title: People Thoughts Prediction using Machine Learning on Women’s Contribution in ICT in Bangladesh
- Authors: S Akter, S Siddique, I Jahan, T Rabeya, MR Mim
- Conference: 2021 IEEE 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
- Cited by: 1
- Year: 2021
Conclusion
Ms. Sunzida Siddique’s strong academic foundation, her contribution to innovative research projects, and her leadership in organizing and mentoring within technical clubs make her an exceptional candidate for the Research for Best Researcher Award. Her work in AI, machine learning, and other emerging technologies, combined with her enthusiasm for continuous learning, underscores her potential to make significant strides in her field.