Amarachi Madu | Automated Intelligence | Best Researcher Award

Posted on by Best Paper Award

Mrs. Amarachi Madu, Automated Intelligence, Best Researcher Award

Amarachi Madu at Virginia Tech, United States

Summary:

Mrs. Amarachi Madu is a Ph.D. candidate in Computer Science at Virginia Tech, with a strong background in mathematics and computer science. With a keen interest in artificial intelligence and its applications, she has conducted groundbreaking research in various domains including finance, healthcare, and human-computer interaction. With a Master’s degree from Austin Peay State University and a Bachelor’s degree from Nnamdi Azikiwe University, she brings a diverse skill set encompassing programming, data analytics, machine learning, and statistical analysis. Amarachi is passionate about leveraging cutting-edge technologies to address real-world challenges and improve human lives.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science

  • University: Virginia Tech, Blacksburg, VA
  • Duration: 8/2020 – Present
  • GPA: 3.93/4.0

Master of Science in Computer Science and Quantitative Methods

  • University: Austin Peay State University, Clarksville, TN
  • Duration: 8/2018 – 5/2020
  • GPA: 4.0/4.0

Bachelor of Science in Mathematics

  • University: Nnamdi Azikiwe University, Awka, Nigeria
  • Duration: 9/2010 – 9/2014
  • GPA: 4.72/5.0

Professional Experience:

Mrs. Amarachi Madu has accumulated a wealth of professional experience across various prestigious institutions and organizations:

As an AI Research Summer Associate at JPMorgan Chase & Co from June 2023 to August 2023, she conducted groundbreaking research in financial services, focusing on complex problems in the finance domain in collaboration with the natural language processing team.

Currently, she serves as a Graduate Research Assistant at Virginia Tech, Blacksburg, VA since January 2023, where she contributes to cutting-edge AI research.

Prior to her role at Virginia Tech, she was a Graduate Teaching Assistant at Virginia Tech from August 2020 to December 2022, where she played a key role in teaching information visualization, problem-solving in computer science, introduction to programming in Java, and data analytics and visualization.

Previously, she also worked as an AI Research Summer Associate at JPMorgan Chase & Co from June 2022 to August 2022, focusing on AI research in financial services, particularly collaborating with the natural language processing team on research problems in finance.

During her tenure as a Summer Extern at AT&T from July 2021 to August 2021, she underwent extensive training in various business and technical aspects to enhance personal and professional development.

Her journey in research began as a Graduate Research Assistant at Austin Peay State University, Clarksville, TN from August 2018 to May 2020, where she facilitated structured learning sessions for students and contributed to advancements in research, particularly in the application of linear multi-step methods and statistical analysis.

Through these roles, Mrs. Amarachi Madu has demonstrated her commitment to advancing knowledge in artificial intelligence, natural language processing, and related fields, while also gaining valuable experience in teaching, research, and industry collaboration.

Research Interest:

  • Artificial Intelligence
  • Natural Language Processing
  • Multi-modal Machine Learning
  • Medical Imaging
  • Human-Computer Interaction

Top Noted Publication:

Title: ChatGPT passing USMLE shines a spotlight on the flaws of medical education

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, OJ Mechanic, A Dagan
  • Journal: PLOS Digital Health
  • Volume: 2
  • Issue: 2
  • Page: e0000205
  • Year: 2023

Title: Chexrelnet: An anatomy-aware model for tracking longitudinal relationships between chest x-rays

  • Authors: G Karwande, AB Mbakwe, JT Wu, LA Celi, M Moradi, I Lourentzou
  • Conference: International Conference on Medical Image Computing and Computer-Assisted
  • Year: 2022

Title: Fairness metrics for health AI: we have a long way to go

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, JT Wu
  • Journal: EBioMedicine
  • Volume: 90
  • Page: 9
  • Year: 2023

Title: Enhancing mathematics achievement of introverted and extroverted secondary school students through the use of advance organizers

  • Authors: OE Chinelo, ON Francisca, MA Blessing
  • Journal: Journal of Educational Research and Reviews
  • Volume: 4
  • Issue: 3
  • Page: 27-32
  • Year: 2016

Wadha Abdullah Al-Khater | Computer Science | Best Researcher Award

Posted on by Best Paper Award

Dr. Wadha Abdullah Al-Khater, Computer Science, Best Researcher Award

Doctorate at Qatar University, Saudi Arabia

Summary:

Dr. Wadha Abdullah Al-Khater is a prominent researcher in the field of cybersecurity. She has contributed significantly to the development of malware detection techniques using deep learning models and innovative methodologies. With expertise in cybercrime detection and radio frequency identification methods, Dr. Al-Khater has published several articles and conference papers that have garnered considerable attention in the academic community. Her work has been recognized for its comprehensive review of cybercrime detection techniques, providing valuable insights into addressing contemporary challenges in cybersecurity.

Professional Profile:

Scopus Profile

👩‍🎓Education & Qualification:

PhD in Cyber Security (In Progress)

  • Qatar University
  • Start Date: January 29, 2024

Master’s Degree in Computer Science

  • King Saud University
  • Graduation Date: February 25, 2014
  • GPA: 4.62

Bachelor’s Degree in Computer Science

  • College of Education for Girls at Jubail City, King Faisal University
  • Graduation Date: July 2006
  • Honors: Excellent with Honors

Professional Experience:         

Dr. Wadha Abdullah Al-Khater has amassed a rich academic background with diverse roles across various institutions:

Lecturer at CCQ

  • Duration: August 30, 2016 – Present

Graduate Assistantship at Qatar University

  • Duration: March 31, 2016 – August 31, 2016

Lecturer at University Of Dammam

  • Duration: Since October 2008 (corresponding to 1429 H in the Hijri calendar) until present

Teaching Assistant at University Of Dammam

  • Duration: August 16, 2006 (corresponding to 8/1427 H) – June 13, 2008 (corresponding to 6/1429 H in the Hijri calendar)

IT Instructor

  • Conducted a summer course in the Prince Mohammad Bin Fahd Bin Abdul-Aziz Al Sa’ud program aimed at qualifying and employing Saudi youth from May 21, 2007 to July 1, 2007 (corresponding to 21/5/1427 H – 1/7/1427 H).
  • Taught ICDL Certification at Eqra school in Jubail in 1427 H.
  • Compiled a one-month course at University Of Dammam on combining database with Visual Basic in 1430 H.
  • Compiled courses at University Of Dammam in Photoshop and Successful Strategies for Students Studying aimed at preparatory year students.

Honors and awards:

Dr. Wadha Abdullah Al-Khater’s academic excellence was recognized with First Class Honors in the B.Sc. Program at the College of Education for Girls in Jubail City, which is affiliated with King Faisal University. This achievement underscores her dedication and exceptional performance in her academic pursuits.

 Research Interest:

Publication Top Noted:

Using 3D-VGG-16 and 3D-Resnet-18 deep learning models and FABEMD techniques in the detection of malware

  • Authors: W. Al-Khater, S. Al-Madeed
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • Volume: 89
  • Pages: 39–52

Comprehensive review of cybercrime detection techniques

  • Authors: W.A. Al-Khater, S. Al-Maadeed, A.A. Ahmed, A.S. Sadiq, M.K. Khan
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 137293–137311
  • Paper ID: 9146148
  • Citation count: 54

A review on Radio Frequency Identification methods

  • Authors: W. Al-Khater, S. Kunhoth, S. Al-Maadeed
  • Conference: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
  • Year: 2017
  • Pages: 1751–1758
  • Paper ID: 7986549
  • Citation count: 5