Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

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Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

🌐 Professional Profile

Educations📚📚📚

She earned her Doctor of Philosophy in Computer Science from the University of Illinois at Chicago in Fall 2019, with her dissertation titled “Deadlock Detector and Solver (DDS).” She completed her Master of Science in Computer Science at Bowling Green State University in Fall 2011, with her thesis titled “A Cloud Computing Framework for Computer Science Education.” Her academic journey began with a Bachelor of Science in Computer Science from Imam Abdulrahman bin Faisal University (formerly Dammam University) in Fall 2006, where she graduated with honors.

In her academic career, she began as an Instructor at New Horizons Institute in Khobar, KSA, during Summer 2007, where she trained students at various levels on ICDL and IC3 certificates and taught courses in Computer Mathematics, Secretary duties, office management, and office technology. She then taught basic computer skills and Microsoft Office applications at Dammam University (now Imam Abdulrahman bin Faisal University) in Fall 2007. Prior to this, she worked as a Teacher at Riyadh Al-Islam Schools in Spring 2007, where she taught basic computer skills to girls, ranging from elementary to high school students.

Since Fall 2012, she has been serving as a faculty member at Princess Nourah Bint Abdulrahman University in Riyadh, KSA

Work experience

As a Lecturer and Assistant Professor, she teaches a range of courses including Foundations of Programming (GN 044), Discrete Structures (CS100), Programming Language I (CS110), Programming Language II (CS111), Computer Organization (CS206), Natural Language Processing (CAI 350), Graduation Project I (CS487), and Graduation Project II (CS488). She is involved in designing and recording a programming basics course and a data structures course as electronic courses for the programming diploma program. She participates in faculty committees and collaborative initiatives to improve the curriculum and attends seminars to stay updated on the latest trends in technology and teaching methods. She also serves as a scientific contact at the University of Southern California in the field of video game design and is the Computer Sciences’ program leader.

In her non-academic experience, she served as Vice President, Director of Public Relations, and Director of the Cultural and Information Committee at King Abdulaziz and his Companions Foundation for the Gifted from Summers 2002 to 2007. During her tenure, she built a summer science program for talented students, encouraged their inventiveness, and gained significant managerial skills through her six years of work with the President of the program.

Certifications or Professional Registrations:

She holds several notable certifications and professional registrations, including membership in the Golden Key International Honor Society and the Phi Kappa Phi Honor Society. She also possesses the Huawei HCIA-AI Certificate. Her current professional memberships include the Computing Research Association, the Association for Computing Machinery (ACM), and the IEEE Computer Society.

 

Honors and Awards:

She has received several honors and awards, including participation in the CRA-Women Grad Cohort Workshop, and has been recognized with the ACM’s SRC Travel Award and the HPDC Travel Award. Her service activities encompass planning programs and activities for talented students, building and designing electronic courses, and supervising the student magazine for the College of Computer and Information. She is also involved in various committees, including judging and supervising hackathons.

In terms of granted projects, she is currently working on the Researchers Supporting Project at Princess Nourah bint Abdulrahman University (Project number: PNURSP2023R409) for the year 2023. She is also leading two projects funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia: “Detection and Identification of Plant Leaf Diseases using YOLOv4” (Project number RI-44-0618) from November 2022 to May 2024, and “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women” (Project number WE-44-0279) from November 2022 to May 2024.

📝🔬Publications📝🔬

Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

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Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

Mr. Nagesh Dewangan distinguished academic and researcher in the field Interpretation Analysis of Deep Learning Models. As a dedicated researcher in the field of machinery condition monitoring, his work has focused on advancing knowledge in activity monitoring and fault diagnosis for heavy machinery using deep learning models. His research has led to several key advancements, particularly in the areas of machinery activity recognition and motor fault diagnosis. He has worked on projects focusing on the cycle time of dumper activities and real-time fault diagnosis of motors using acceleration signals. The studies were conducted in both laboratory and real environments, providing comprehensive data for robust analyses. His work has resulted in the development of innovative methodologies and technologies. He has contributed to the creation of new algorithms for activity recognition using convolutional neural networks (CNNs) and developed approaches to enhance the generalizability of models across different environments. Collaborations with institutions like CSIR-Central Institute of Mining and Fuel Research Dhanbad, India, and industry partners like Coal India Limited, India, have enriched his research.

 

🌐 Professional Profile

Educations📚📚📚

He is currently a Ph.D. research scholar in the Acoustics and Condition Monitoring Laboratory, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, India. He received his B.E. degree in Mechanical Engineering from the Bhilai Institute of Technology Durg, India, in 2016, and his M.Tech. degree in Maintenance Engineering & Tribology from the Indian Institute of Technology Dhanbad, India, in 2019. His research interests are in the areas of Mining Machinery, Condition Monitoring, Signal Processing, Fault Diagnosis, Real-time Application, Internet of Things, Machine Learning, and Deep Learning for industry-oriented Product Design and Development. Throughout his academic career, he has been involved in numerous research projects focused on improving machinery efficiency and safety, particularly in the mining industry. His recent work includes analyzing the cycle time of dump truck activities, fuel consumption, and implementing Convolutional Neural Networks for activity recognition.

Experience

He has published a paper in the reputed journal Automation in Construction, where he critically evaluates existing methods and proposes innovative solutions. Additionally, he has co-authored two papers in reputed journals, such as Engineering Transactions and the International Journal of Chemical Engineering. He has also presented his work at various prestigious conferences, such as the International Conference on Mechanical Power Transmission 2019 (IIT Madras), 17th International Conference on Vibration Engineering and Technology of Machinery 2022 (Institute of Engineering, Nepal), National Conference on Condition Monitoring 2023 (NSTL, Visakhapatnam), and World Congress on Engineering Asset Management (RMIT University, Vietnam), sharing his findings and insights with the academic and professional community. For his research work, he predominantly uses MATLAB, Python, LabVIEW, and NI Multisim.

 

📝🔬Publications📝🔬