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.

Chuang Qian | Engineering | Best Researcher Award

Posted on 16/08/2024 by ScienceFather

Dr. Chuang Qian| Engineering | Best Researcher Award

Dr. Chuang Qian Wuhan University of Technology, China

Chuang Qian is a dedicated researcher specializing in GNSS Ground-Based Augmentation, Multi-source Fusion Navigation, and LiDAR-Based Environment Perception. Holding a Postdoctoral position at Wuhan University’s GNSS Center, he has published 20 SCI/EI papers, with 6 as the first author and 2 as a corresponding author. His work extends to multiple research projects and 3 patent applications. With a solid educational background, including a Ph.D. and Master’s from Wuhan University, he has demonstrated expertise in high-precision GNSS data, SLAM, and C/C++ programming. His innovative research impacts vehicle navigation, environmental perception, and geodesy.

Publication Profile

Scopus

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Research for Best Researcher Award Evaluation

Strengths for the Award 🌟

Diverse and Cutting-Edge Research Topics: Chuang Qian’s research covers a range of advanced topics in navigation and sensing technologies, including GNSS augmentation, multi-source fusion navigation, and LiDAR-based perception. His work on integrating GNSS/INS/LiDAR data and V2V-based positioning showcases his expertise in complex, multi-dimensional research areas.
Significant Publications: Qian has published 20 SCI/EI papers, with 6 as the first author and 2 as the corresponding author. This demonstrates his leadership in research and ability to contribute significant findings to the field. The high number of publications in reputable journals highlights his commitment to advancing knowledge in his areas of expertise.
Patents and Practical Impact: The application of 3 patents reflects his ability to translate research into practical solutions. This aspect of his work indicates a strong potential for real-world impact and innovation.
Extensive Research Projects: Leading and participating in multiple high-profile projects, such as intelligent vehicle control and mobile forest tomography, shows his active involvement in cutting-edge research and his ability to manage complex projects effectively.
Strong Academic Background: Qian’s educational journey from a Bachelor’s to a Postdoctoral level at Wuhan University, particularly within the GNSS Center, provides a solid foundation for his research work. His progression through various academic levels indicates a deep and comprehensive understanding of his field.

Areas for Improvement 🔍

Broader Impact and Collaboration: While Qian’s individual achievements are substantial, there is potential for greater impact through broader collaborations with other institutions or industries. Expanding his research network could enhance the applicability and influence of his findings.
Public Engagement and Dissemination: Increasing the visibility of his research through additional high-impact journals, popular science articles, or public lectures could help disseminate his findings to a wider audience. Engaging with the public or industry through talks or media could further amplify the impact of his work.
Language Skills: While Qian’s English proficiency is adequate (IELTS 6.0), further improving his language skills could enhance his ability to collaborate internationally and communicate his research effectively to a global audience.
Interdisciplinary Research: Exploring interdisciplinary approaches by integrating his research with other fields, such as machine learning or artificial intelligence, could open new avenues for innovation and enhance the scope of his projects.

🗺️ Research Interests

GNSS Ground-Based Augmentation. GNSS/LEO Satellite-Based Augmentation. GNSS/INS/LiDAR/Camera Multi-source Fusion Navigation LiDAR-Based Environment Perception. V2V-Based Multi-source Collaborative Positioning

🏆 Achievements

20 SCI/EI Papers (6 as First Author, 2 as Corresponding Author), 3 Patents Applied, Host or Participate in Multiple Research Projects

🎓 Education

Wuhan University (2018.6 – Present) Postdoctoral, GNSS Center. Wuhan University (2013.9 – 2018.6) Ph.D., GNSS Center. Wuhan University (2011.9 – 2013.6) Master’s, GNSS Center. Wuhan University (2007.9 – 2011.6) Bachelor’s, School of Geodesy and Geomatics

📂 Projects

The Theory and Test Verification for the Intelligent Control of Vehicle Group under the Vehicle-Road Collaborative Environment. Satellite Navigation Enhanced Theory and Technology Joint Laboratory. Navigation and Environment Perception Technology for Logistics Vehicles. Mobile Forest Tomography: Interaction of LiDAR/Radar Beams with Forests Using Mini-UAV and Mobile Forest Tomography. Research on LiDAR and Visual-Aided Lane-Level

🛠️ Skills

Professional Knowledge: High-precision GNSS data post-processing (GAMIT), CORS, RTK, PPP, SLAM, etc.
Professional Skills: C/C++, Windows/Linux, VS/Matlab
Language Skills: English (IELTS 6.0)

Publication Top Notes

Robust Finite-Time Sliding Mode Control of Unmanned Surface Vehicle with Active Compensation of Pose Estimation Uncertainty
- Authors: J. Meng, H. Tan, L. Jiang, Z. Hu, G. Li
- Journal: Ocean Engineering
- Year: 2024
- Volume: 304
- Article ID: 117831
- Citations: 0

A LiDAR–INS-Aided Geometry-Based Cycle Slip Resolution for Intelligent Vehicle in Urban Environment with Long-Term Satellite Signal Loss
- Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
- Journal: GPS Solutions
- Year: 2024
- Volume: 28
- Issue: 2
- Article ID: 61
- Citations: 2

A Hybrid LSTM Network for Long-Range Vehicle Trajectory Prediction Based on Adaptive Chirp Mode Decomposition
- Authors: Z. Wang, H. Zhang, C. Qian, Y. Cao, M. Jiang
- Journal: IEEE Sensors Journal
- Year: 2024
- Volume: 24
- Issue: 4
- Pages: 5359-5369
- Citations: 1

A Vision-Aided RTK Ambiguity Resolution Method by Map Lane Matching for Intelligent Vehicle in Urban Environment
- Authors: H. Zhang, C. Qian, W. Li, B. Li
- Journal: International Journal of Digital Earth
- Year: 2024
- Volume: 17
- Article ID: 2383479
- Citations: 0

Tightly Coupled Integration of Vector HD Map, LiDAR, GNSS, and INS for Precise Vehicle Navigation in GNSS-Challenging Environment
- Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
- Journal: Geo-Spatial Information Science
- Year: 2024
- Citations: 0

Vehicle High-Precision Positioning Considering Communication Delay for Intelligent Vehicle-Infrastructure Cooperation System
- Authors: H. Zhang, C. Qian, Q. Zhao, W. Li, B. Li
- Journal: Acta Geodaetica et Cartographica Sinica
- Year: 2024
- Volume: 53
- Issue: 1
- Pages: 101-117
- Citations: 0

Conclusion 🏆

Chuang Qian is a strong candidate for the Research for Best Researcher Award due to his extensive contributions to advanced navigation and sensing technologies, demonstrated leadership in research, and significant publication record. His work is impactful and innovative, with practical applications in various domains. To further enhance his candidacy, Qian could focus on expanding his collaborations, increasing public and international engagement, and exploring interdisciplinary research opportunities.

Seokhwan Lee | Engineering | Best Researcher Award

Posted on 12/08/202412/08/2024 by ScienceFather

Dr. Seokhwan Lee | Engineering |Best Researcher Award

Dr at Korea Institute of Machinery and Materials, South Korea

Dr. Seokhwan Lee is a Principal Researcher at the Korea Institute of Machinery and Materials, specializing in eco-friendly energy conversion technologies. With a Ph.D. in Mechanical Engineering from KAIST, his research primarily focuses on combustion, emission characteristics, and fuel efficiency improvements in internal combustion engines. He has authored numerous publications in high-impact journals, addressing topics such as thermal shock quantification, fuel-spray characteristics, and particulate emissions from various engine types. Dr. Lee is also an active member of several professional societies, including the Korea Society of Automotive Engineers and the Society of Automotive Engineers.

Profile

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Orcid

🎓Education:

Ph.D. in Mechanical Engineering, KAIST, 2005. M.S. in Mechanical Engineering, KAIST, 2001. B.S. in Mechanical Engineering, KAIST, 1999

🔍Research Experience:

Principal Researcher, Korea Institute of Machinery and Materials (2006–present) . Research Associate, KAIST Combustion Engineering Research Center (2005–2006). Visiting Scholar, University of Michigan (2003–2004)

Professional Affiliations:

Korea Society of Automotive Engineers Korea Society of Atmospheric Environment. Korea Association for Particle and Aerosol Research. Society of Automotive Engineers

🌟 Strengths for the Award

Extensive Research Experience: Dr. Lee has over 18 years of research experience at prestigious institutions, including Korea Institute of Machinery and Materials and KAIST. His work covers a broad range of topics in mechanical engineering, particularly in combustion, emissions, and heat exchange.
Diverse and Impactful Publications: He has published over 40 research papers in reputable journals and conferences, contributing significantly to the fields of fuel economy, emissions, and particulate matter. His research addresses both fundamental and applied aspects, demonstrating a strong impact on the field.
International Collaborations: Dr. Lee’s work includes collaborations with renowned international institutions, such as the University of Michigan, enhancing the global reach and credibility of his research.
Innovative Research: His research on exhaust heat exchangers, catalytic converters, and alternative fuels reflects innovation and a commitment to solving complex engineering problems related to energy efficiency and environmental impact.
Awards and Recognition: Dr. Lee’s extensive publication record and research contributions suggest recognition by peers in the form of citations and accolades, showcasing his research’s impact and relevance.

Areas for Improvement

Visibility and Impact: While Dr. Lee has a strong publication record, further enhancing the visibility of his work through high-impact journals and wider dissemination could amplify his research’s reach and influence.
Cross-disciplinary Integration: Exploring research that integrates mechanical engineering with other fields, such as environmental science or policy, could broaden the scope and applicability of his work.
Leadership and Mentoring: Increasing involvement in mentoring emerging researchers and leading collaborative projects could further demonstrate leadership and contribute to the development of the next generation of researchers.

📚 Publications

Effect of Various Diesel Injection Timings on Combustion, Efficiency and Emissions by Using the Double-row Nozzle with Narrow and Wide Angles in a 6L Diesel Engine
- Authors: Sechul Oh, Junho Oh, Hyeongjun Jang, Seokhwan Lee, Sunyoup Lee, Changgi Kim, Jeongwoo Lee
- Journal: Transaction of the Korean Society of Automotive Engineers
- Publication Date: 2023-01-01
- DOI: 10.7467/KSAE.2023.31.1.061

Effects of Piston Shape and Nozzle Specifications on Part-Load Operation of Natural Gas–Diesel Dual-Fuel RCCI Engine and Its Application to High Load Extension
- Authors: Sechul Oh, Junho Oh, Hyeong-Jun Jang, Seokhwan Lee, Sunyoup Lee, Changgi Kim, Jeongwoo Lee
- Journal: Fuel
- Publication Date: 2022-11
- DOI: 10.1016/j.fuel.2022.125361

Real-Time Detection of Vehicle-Originated Condensable Particulate Matter through Thermodenuder Integrated Aerosol Measurement Method at Tailpipes
- Authors: Giwon Kang, Kyungil Cho, Jiyoon Shin, Soodong Lee, Seung-Bok Lee, Sang-Hee Woo, Seokhwan Lee, Changhyuk Kim
- Journal: Environmental Research
- Publication Date: 2022-09
- DOI: 10.1016/j.envres.2022.113487

Development of Dust Collectors to Reduce Brake Wear PM Emissions
- Authors: Sang-Hee Woo, Gunhee Lee, Bangwoo Han, Seokhwan Lee
- Journal: Atmosphere
- Publication Date: 2022-07-15
- DOI: 10.3390/atmos13071121

Characterization of Brake Particles Emitted from Non-Asbestos Organic and Low-Metallic Brake Pads under Normal and Harsh Braking Conditions
- Authors: Sang-Hee Woo, Hyungjoon Jang, Min Young Na, Hye Jung Chang, Seokhwan Lee
- Journal: Atmospheric Environment
- Publication Date: 2022-06
- DOI: 10.1016/j.atmosenv.2022.119089

Chemical Leaching from Tire Wear Particles with Various Treadwear Ratings
- Authors: Yoonah Jeong, Seokhwan Lee, Sang-Hee Woo
- Journal: International Journal of Environmental Research and Public Health
- Publication Date: 2022-05-15
- DOI: 10.3390/ijerph19106006

Characteristics of Brake Wear Particle (BWP) Emissions under Various Test Driving Cycles
- Authors: Sang-Hee Woo, Yongrae Kim, Sunyoup Lee, Young Choi, Seokhwan Lee
- Journal: Wear
- Publication Date: 2021-09
- DOI: 10.1016/j.wear.2021.203936

Measuring Method of Non-Exhaust PM Generated by Brake Wear
- Authors: Sang-Hee Woo, Yongrae Kim, Young Choi, Sunyoup Lee, Seokhwan Lee
- Journal: Transaction of the Korean Society of Automotive Engineers
- Publication Date: 2020-10-01
- DOI: 10.7467/KSAE.2020.28.10.701

Characteristic of Brake Wear Particles under Various Test Driving Cycles
- Authors: Sang-Hee Woo, Yongrae Kim, Sunyoup Lee, Young Choi, Seokhwan Lee
- Journal: Journal of Korean Society for Atmospheric Environment
- Publication Date: 2020-06-30
- DOI: 10.5572/KOSAE.2020.36.3.346

🏆 Conclusion

Dr. Seokhwan Lee is highly suitable for the Best Researcher Award due to his extensive research experience, impactful publications, and innovative contributions to mechanical engineering. His work addresses critical issues in energy conversion and emissions, reflecting both academic excellence and practical relevance. To strengthen his candidacy further, focusing on increasing the visibility of his research and exploring interdisciplinary opportunities would be beneficial. Overall, Dr. Lee’s qualifications and achievements make him a strong candidate for this prestigious award.

Hossam Khalilِ | Engineering | Best Researcher Award

Posted on 08/08/202410/08/2024 by ScienceFather

Dr. Hossam Khalilِ| Engineering | Best Researcher Award

Dr. Hossam Khalil is an Assistant Professor in Mechatronics at October 6 University and Menoufia University. With a Ph.D. in Mechatronics Engineering from Gwangju Institute of Science and Technology, his research focuses on robotics, vibration measurement, and control engineering. His Ph.D. thesis developed non-contact vibration measurement techniques for high-speed rotating structures. Dr. Khalil’s M.Sc. research centered on predictive control of dynamic systems using Support Vector Machines. He has authored numerous publications on advanced vibration measurement and control and has presented at international conferences. His teaching interests include control systems, robotics, and signal processing.

Profile

Scholar

🎓 Education:

PhD in Mechatronics Engineering (2012-2018), Gwangju Institute of Science and Technology, South Korea. M.Sc. in Industrial Electronics and Control Engineering (2008-2010), University of Menoufia, Egypt. B.Sc. in Industrial Electronics and Control Engineering (1999-2004), University of Menoufia, Egypt

🏫 Academic Employment:

Assistant Professor (Sep 2023 – Present), October 6 University, Egypt. Assistant Professor (May 2018 – Sep 2023), Menoufia University, Egypt. Part-time Lecturer (Sep 2020 – Jul 2021), High Institute for Engineering & Technology at Obour, Egypt. Assistant Lecturer/Researcher (Jan 2011 – Feb 2012), Menoufia University, Egypt. Teaching Assistant (Oct 2007 – Dec 2010), Menoufia University, Egypt

🏆 Honors and Awards:

2004 Excellence Award for best grades in Industrial Electronics and Control Engineering, Menoufia University. 2004 Excellence Award from Egyptian Engineers Syndicate

🔬 Research Interests:

Robotics and Control Engineering
Vibration Measurement and Control

Strengths for the Award 🏆

Expertise in Cutting-Edge Fields: Hossam Khalil’s research in robotics, control engineering, and vibration measurement is highly specialized. His PhD thesis on non-contact vibration measurement of high-speed rotating structures and his M.Sc. thesis on modeling and control using Support Vector Machines (SVM) showcase advanced knowledge in these critical areas. Innovative Contributions: Khalil has made significant contributions with his work on image-based tracking systems and non-contact vibration measurement using laser scanning vibrometers. His publications and presentations reflect a commitment to advancing technology and practical applications in his field. Strong Publication Record: With multiple peer-reviewed journal articles and conference presentations, Khalil demonstrates a consistent output of high-quality research. His recent publications in reputed journals like the Ain Shams Engineering Journal and the International Journal of Precision Engineering and Manufacturing highlight his ongoing impact. Teaching and Mentorship: His extensive teaching experience across various relevant courses, such as intelligent control systems and mechatronics, underlines his dedication to education and mentorship in engineering. Awards and Recognition: Khalil has been recognized for his academic achievements with awards such as the Excellence Award from Menoufia University and the Egyptian Engineers Syndicate.

Areas for Improvement 🚀

Broader Research Impact: While Khalil has made notable contributions to specific areas, expanding his research impact to more diverse or interdisciplinary fields could enhance his recognition further. Collaboration and Networking: Increased collaboration with international research groups and participation in more global conferences could broaden his influence and provide new opportunities for his work to be showcased.. Research Translation: Focusing on the practical applications of his research and translating them into commercial or industrial applications could strengthen his profile as an influential researcher.

📚 Publications

Title: Implementation of speed controller for rotary hydraulic motor based on LS-SVM
- Journal: Expert Systems with Applications
- Year: 2011
- Volume: 38
- Issue: 11
- Pages: 14249-14256
- Cited by: 38

Title: 3-D vibration measurement using a single laser scanning vibrometer by moving to three different locations
- Journal: IEEE Transactions on Instrumentation and Measurement
- Year: 2014
- Volume: 63
- Issue: 8
- Pages: 2028-2033
- Cited by: 34*

Title: Accuracy and noise analyses of 3D vibration measurements using laser Doppler vibrometer
- Journal: Measurement
- Year: 2016
- Volume: 94
- Pages: 883-892
- Cited by: 29

Title: Optical derotator alignment using image-processing algorithm for tracking laser vibrometer measurements of rotating objects
- Journal: Review of Scientific Instruments
- Year: 2017
- Volume: 88
- Issue: 6
- Cited by: 8

Title: Operational deflection shape of rotating object using tracking laser Doppler vibrometer
- Conference: 2015 IEEE International Conference on Electronics, Circuits, and Systems
- Year: 2015
- Cited by: 8

Title: Image-based tracking system for rotating object vibration measurement using laser scanning vibrometer
- Journal: International Journal of Precision Engineering and Manufacturing
- Year: 2015
- Volume: 16
- Pages: 1717-1721
- Cited by: 8

Title: Support vector machines based adaptive controller for piston hydraulic motor
- Journal: International Journal of Control and Automation
- Year: 2011
- Volume: 4
- Issue: 2
- Pages: 31-50
- Cited by: 5

Title: Offline modeling of nonlinear systems based on least squares support vector machines
- Conference: 2009 International Conference on Computer Engineering & Systems
- Year: 2009
- Pages: 177-184
- Cited by: 2

Title: Modal analysis of rotating plate using tracking laser Doppler vibrometer: algorithm modification
- Conference: Fifth Asia-Pacific Optical Sensors Conference
- Year: 2015
- Volume: 9655
- Pages: 297-300
- Cited by: 1
Title: Optimal Fuzzy Precompensated TID controller for Nonlinear Dynamical Systems
- Journal: Menoufia Journal of Electronic Engineering Research
- Year: 2024
- Pages: 1-8

Title: Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems
- Journal: Ain Shams Engineering Journal
- Year: 2024
- Article Number: 102851

Title: Image-based tracking system for vibration measurement of a rotating object using a laser scanning vibrometer
- Journal: AIP Conference Proceedings
- Year: 2016
- Volume: 1740
- Issue: 1

Title: Tilt-Integral-Derivative-Acceleration (TIDA) Controller based on Grey Wolf Optimization Technique
- Contributors: H Khalil, O Elshazly, M Abdallah, O Shaheen

Title: DEVELOPMENT OF THE NOVEL IMAGE-BASED TRACKING LASER SCANNING VIBROMETER
- Contributors: D Kim, H Khalil, J Nam, K Park

Conclusion 🏅

Hossam Khalil is a strong candidate for the Best Researcher Award, given his expertise in advanced robotics and control engineering, significant contributions to vibration measurement technologies, and a proven track record of impactful research. His dedication to both research and teaching, coupled with his innovative work and awards, positions him as a deserving nominee. Further expanding his research impact and international collaborations could enhance his candidacy even more.

Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Posted on 10/07/2024 by ScienceFather

Dr. Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Dr at Mohan Babu University, 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

💼 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

🔍 Research Interests:

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

🎓 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

💼 Work Experience:

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

Publication:📝

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 Management—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