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

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

šŸŽ“ 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 Centerā€™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 Bachelorā€™s degree in Textile Engineering from the same institution (2010). She furthered her knowledge in Intellectual Property through a diploma at Helwan University (2017).

šŸ’¼ 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 ā€“ 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 ā€“ 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.

 

Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Dr. Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Dr at Mohan Babu University,Ā  India

Thejasree Pasupuleti is an Associate Professor of Mechanical Engineering at Mohan Babu University, specializing in welding, machining processes, additive manufacturing, and materials processing. With a Ph.D. from Jawaharlal Nehru Technological University (2022) on laser beam welding of Inconel 718, he brings a robust background in both academic and industry settings. His career includes roles as Assistant Professor at Sree Vidyanikethan Engineering College and Scheduling Engineer at Amarraja Batteries Pvt Ltd. An expert in CAD/CAM, Thejasree Pasupuleti has contributed significantly to mechanical engineering education and research, focusing on advanced manufacturing techniques and material science.

profile:

Scopus

Orcid

Scholar

šŸ’¼ Roles:

Associate Professor, Mechanical Engineering, Mohan Babu University, Former Assistant Professor, Mechanical Engineering, Sree Vidyanikethan Engineering College, Former Scheduling Engineer, Amarraja Batteries Pvt Ltd, Former Assistant Professor, SVCET

šŸ” Research Interests:

  • Welding
  • Nontraditional/Traditional Machining Processes
  • Additive Manufacturing
  • Micro-Machining
  • Materials Processing

šŸŽ“ Education:

PhD in Mechanical Engineering (2022): Jawaharlal Nehru Technological University, Anantapur, Dissertation: Numerical and Experimental Investigation of Laser Beam Welded Inconel 718 Alloy Joints, M.E. in CAD/CAM (2013): Chadalawada Ramanamma Engineering College, B.Tech. in Mechanical Engineering (2006): S.V. University College of Engineering

šŸ’¼ Work Experience:

Associate Professor: Mohan Babu University, 01/2023 ā€“ Present, Assistant Professor: Sree Vidyanikethan Engineering College, 06/2013 ā€“ 12/2022, Scheduling Engineer: Amarraja Batteries Pvt Ltd, 07/2008 ā€“ 01/2010, Assistant Professor: SVCET, 06/2007 ā€“ 07/2008

Publication:šŸ“

  • Title: Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm
    Authors: Natarajan, M., Pasupuleti, T., Giri, J., Mallik, S., Sathish, T.
    Journal: AIP Advances
    Year: 2024
    Volume: 14
    Issue: 1
    Article Number: 015319
    Citations: 3

     

    Title: Applications of Machine Learning in Supply Chain Managementā€”A Review
    Authors: Thejasree, P., Manikandan, N., Vimal, K.E.K., Sivakumar, K., Krishnamachary, P.C.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1487
    Pages: 73-82
    Citations: 0

     

    Title: Applications of Artificial Intelligence Tools in Advanced Manufacturing
    Authors: Manikandan, N., Thejasree, P., Vimal, K.E.K., Sivakumar, K., Kiruthika, J.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1427
    Pages: 29-42
    Citations: 0

     

    Title: Requirements for the Adoption of Industry 4.0 in the Sustainable Manufacturing Supply Chain
    Authors: Sivakumar, K., Dhyankumar, C.T., Cherian, T.M., Manikandan, N., Thejasree, P.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1427
    Pages: 185-201
    Citations: 0

     

    Title: Machinability of Titanium Grade 5 Alloy for Wire Electrical Discharge Machining Using a Hybrid Learning Algorithm
    Authors: Natarajan, M., Pasupuleti, T., Giri, J., Mallik, S., Ray, K.
    Journal: Information (Switzerland)
    Year: 2023
    Volume: 14
    Issue: 8
    Article Number: 439
    Citations: 17

     

    Title: Assessment of Machining of Hastelloy Using WEDM by a Multi-Objective Approach
    Authors: Natarajan, M., Pasupuleti, T., Abdullah, M.M.S., Giri, P., Soleiman, A.A.
    Journal: Sustainability (Switzerland)
    Year: 2023
    Volume: 15
    Issue: 13
    Article Number: 10105
    Citations: 17

     

    Title: Mechanical Properties Test of Graphene Concrete Based on Fuzzy Control Algorithm
    Authors: Abdullah Hamad, A., Manikandan, N., Thejasree, P., Senkumar, M.R., Jain, S.K.
    Conference: 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023
    Year: 2023
    Pages: 164-168
    Citations: 0

     

    Title: Optimization Algorithm of Road and Bridge Engineering Construction Management Based on Ant Colony Neural Network
    Authors: Usha, V., Hamad, A.A., Manikandan, N., Biju, J., Chittapur, G.
    Conference: 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023
    Year: 2023
    Pages: 1393-1397
    Citations: 0