TABASUM GULEDGUDD | Engineering | Best Researcher Award

Published on by Young Scientists Awards

TABASUM GULEDGUDD | Engineering | Best Researcher Award

Ms TABASUM GULEDGUDD, SECAB INSTITUTE OF ENGINEERING AND TECHNOLOGY, India

Tabasum Guledgudd is an Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, with over 12 years of experience in teaching and academic administration. She has contributed to NBA accreditation, organizing workshops, faculty recruitment, and guiding students on government-funded projects. Her research interests include IoT-based health monitoring systems, VLSI, and Embedded Systems. She has published articles in prominent journals, such as the African Journal of Biomedical Research and the African Journal of Science, Technology, Innovation, and Development. She is also actively involved in workshops and FDPs. 📚💡🖥️🎓

Publication Profile

Orcid

Academic Profile 

Tabasum holds a Bachelor’s degree in Electronics and Communication Engineering (2007) from Visvesvaraya Technology University, Belagavi, and an M.Tech. in VLSI & Embedded Systems (2013) from Jawaharlal Nehru Technological University, Hyderabad. Currently, she is pursuing her Ph.D. (Part-time) in Artificial Intelligence and Machine Learning (AIML) for decision-making in IoT-based health monitoring systems. She successfully completed her comprehensive viva in 2018. With a strong academic background and a focus on advanced technologies, Tabasum is dedicated to exploring innovative solutions in the intersection of AI, IoT, and healthcare. 💻🤖📡📊🎓

Employment Record

Ms. Tabasum Guledgudd is currently serving as the Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, since July 27, 2013. With extensive experience in academia, she has previously worked as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, both from January to May 2012 and from January to December 2010. Her dedication to teaching and leadership in the field of Electronics and Communication Engineering continues to inspire students and contribute to the institution’s growth. 📚👩‍🏫📡

Research Experience

Ms. Tabasum Gulegdudd has made significant contributions to academic research, with notable publications in reputable journals. In 2024, she published a comparative study on machine learning algorithms for leukemia diagnosis in the African Journal of Biomedical Research, showcasing her expertise in medical technology. Additionally, she authored a comprehensive review of integrated technologies in the Internet of Health Things (IoHT) applications, featured in the African Journal of Science, Technology, Innovation, and Development. These works highlight her dedication to advancing research and her commitment to improving healthcare through innovative technological applications. 📚💻🩺📈

Previous Employment 

Tabasum Guledgudd is an experienced academic professional who previously served as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, from January 2009 to May 2012. Before joining SECAB Institute of Engineering and Technology, she honed her teaching skills and gained valuable experience in academic administration. During her tenure, she developed a strong foundation in education, contributing to the academic growth of her students. Her passion for teaching and leadership has made her a valuable asset in the field of engineering education. 📚👩‍🏫🏫🌟

Current Employment 

Ms. Tabasum Guledgudd is an Assistant Professor and Head of the Department at SECAB Institute of Engineering and Technology in Vijayapur, where she has served since July 27, 2013. Under her leadership, the department successfully received NBA accreditation in August 2019. She oversees key administrative and academic responsibilities, including faculty recruitment and lab establishment. Additionally, she plays an essential role in organizing technical and research-oriented workshops for students and faculty. Her dedication to improving both academic and administrative functions has significantly contributed to the department’s growth and development. 🎓📚🏫🔧👩‍🏫

Research Focus

Tabasum Guledgudd’s research focuses on enhancing machine learning techniques for medical applications, particularly in leukemia diagnosis. Her work involves comparing various algorithms, including K-Means, Gaussian Mixture Models (GMM), Support Vector Machines (SVM), and Random Forest, to improve diagnostic accuracy in biomedical contexts. She has also contributed to the review of integrated technologies in the Internet of Health Things (IoHT), exploring how cutting-edge innovations can be applied to health monitoring and diagnostics. Her research is significant for advancing AI-driven solutions in healthcare. 💻🩺📊💡

Publication Top Notes

A Comparative Study of K-Means, GMM, SVM, and Random Forest for Enhancing Machine Learning in Leukemia Diagnosis

A comprehensive review: State of art integrated technologies in IoHT applications

Assist Prof Dr. Eman Mustafa | Textile Engineering | Women Researcher Award

Published on by Young Scientists Awards

Assist Prof Dr. Eman Mustafa | Textile Engineering | Women Researcher Award

Assist. Prof. Dr. Eman Mustafa is an accomplished academic in the field of Textile Engineering. She is currently serving as an Assistant Professor at [Institution Name] where she focuses on advancing textile technologies and sustainable practices. Dr. Mustafa’s research includes innovative approaches to textile materials and processes, emphasizing eco-friendly and high-performance solutions. Her contributions to the field have been recognized through numerous publications and presentations at international conferences. Dr. Mustafa is dedicated to promoting gender diversity and supporting women in research, making her a distinguished candidate for the Women Researcher Award.

Publication Profile

Scoopus Profile

🎓 Academic and Career Background

Assist. Prof. Dr. Eman Mustafa is an Assistant Professor at the Faculty of Technology and Education, Textile Department, Suez University, where she has been contributing her expertise since April 2022. She earned her Ph.D. in Textile Engineering from Alexandria University in January 2022 and a diploma in Applied Statistics from Cairo University’s Faculty of Graduate Studies for Statistical Research in July 2022. Prior to her current role, Dr. Mustafa served as an Assistant Lecturer at Suez University from July 2018 to March 2022 and as an Assistant Researcher at the National Research Center’s Textile Department from July 2017 to June 2018. She also has experience as a Textile Technical Examiner for patent applications at the Egyptian Patent Office from April 2013 to June 2017. Dr. Mustafa holds a Master’s degree in Textile Engineering from Alexandria University (2015) and a Bachelor’s degree in Textile Engineering from the same institution (2010). She furthered her knowledge in Intellectual Property through a diploma at Helwan University (2017).

💼 Work Experience

Assist. Prof. Dr. Eman Mustafa has made significant contributions to the field of Textile Engineering through her diverse roles and achievements. At the Egyptian Patent Office (April 2013 – June 2017), she was responsible for the technical examination of textile patent applications, conducting searches in various databases, evaluating search results, and making decisions on patent grants. As a Research Assistant at the National Research Center (July 2017 – June 2018), Dr. Mustafa conducted textile tests on woven samples, contributed to departmental projects, and actively participated in conferences and scientific meetings. Since joining the Faculty of Technology and Education, Suez University in August 2018, she has served as an Assistant Lecturer and is now an Assistant Professor, continuing her impactful work in both teaching and research in the Textile Department.

Training Courses

Assist. Prof. Dr. Eman Mustafa is a prominent figure in Textile Engineering, serving as a lecturer on specialized subjects and principles of statistics, and as an editor for the Industrial Technology Journal (ITJ), currently in its first issue under publishing procedures. She is actively involved in department quality tasks, contributing to the advancement of educational standards. Dr. Mustafa’s professional development includes a range of certifications and courses: an International Computer Driving License (March 2013), General and Advanced Courses on Intellectual Property (July-November 2013, May-August 2014), and an Introduction to MATLAB course from Cairo University (August 2014). Additionally, she completed Statistical Data Analysis using SPSS at the Institute of Statistical Studies and Research (May 2015), and participated in training on scientific publishing and research development at the National Research Centre and Suez University (January-May 2018, July 2020, September 2020). Her most recent certification includes Fundamental Digital Transformation from Suez University (April 2021).

Publications:
  • Abd El-Aziz, M., Mohamed, A., & Mustafa, E. (2024). Effect of abrasion level on surface handling and thermal conductivity of blended suit fabrics. The Journal of The Textile Institute. (Accepted and sent to production).

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., El Geiheini, A., & Elkateb, S. (2023). Prediction of fabric stiffness based on fabric construction. Industrial Technology Journal, 1(1), pp. 21-32.

 

  • Elkateb, S., Mustafa, E., El Gholmy, S., El Geiheini, A., & Malek, A. S. (2022). Prediction of fabric pilling tendency based on blended worsted fabric construction. The Journal of The Textile Institute, 114(5), pp. 782-789.

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., El Geiheini, A., & Elkateb, S. (2022). A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity. Alexandria Engineering Journal, 61(12), pp. 11615-11621.

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., & El Geiheini, A. (2021). Prediction of fabric pilling propensity of woven worsted fabrics based on regression analysis and artificial neural networks. The 14th Textile Bioengineering and Informatics Symposium.

 

  • Mustafa, E. (2017). Optimization of production planning in the apparel industry. 8th International Conference of Textile Research Division, National Research Center, 25-27 September 2017.

 

  • Mustafa, E., Elkateb, S., & El Geiheini, A. (2015). Defect detection in the garment industry by ANN. 5th SmartTex Conference, Kafr El-Sheikh University, 2015.