Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

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Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

Dr. Abdulsamad Yahya, Northern Border University, Saudi Arabia

Dr. Abdulsamad Yahya, an Assistant Professor at Northern Border University, Saudi Arabia, holds a Ph.D. in Computer Science from the National University of Malaysia (UKM) and a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia. With over 16 years of academic experience, he has significantly impacted the IT Department through his roles as Head of the IT Department and Deputy Dean of Postgraduate Studies. Dr. Yahya’s research expertise includes Artificial Intelligence, Computer Vision, and Biometrics, with notable contributions to deep learning and big data visualization. Recognized with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, his career is distinguished by a strong blend of research excellence and administrative leadership.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Dr. Abdulsamad Yahya is a strong contender for the Research for Best Researcher Award based on his extensive experience in academia, significant contributions to the field of computer science, and his leadership roles. His qualifications and research interests highlight his exceptional suitability for this recognition.

🎓 Academic Expertise:

Dr. Abdulsamad Yahya, Ph.D. in Computer Science from National University of Malaysia (UKM), brings over 16 years of academic experience. His qualifications also include a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia.

 

📚 Distinguished Educator:

As an Assistant Professor at Northern Border University, Saudi Arabia, Dr. Yahya has significantly impacted the Information Technology Department. His past roles include Head of the IT Department and Deputy Dean of Postgraduate Studies, showcasing his leadership in academia.

🔬 Research Leader:

Dr. Yahya’s research focuses on Artificial Intelligence, Computer Vision, and Biometrics. His conference papers on deep learning and big data visualization reflect his active contribution to advancing these fields.

🏆 Award-Winning Scholar:

Honored with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, Dr. Yahya’s academic journey is marked by his commitment to research and education.

🗂️ Administrative Excellence:

Dr. Yahya has served as the Head of the IT Department and Chairperson of the Senior Project Committee at Northern Border University, demonstrating his strong administrative and project management skills.

Publication Top Notes:

  • Title: Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model
    • Citations: 13
    • Year: 2022
  • Title: A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia
    • Citations: 3
    • Year: 2020
  • Title: Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang
    • Citations: 2
    • Year: 2020
  • Title: Inflectional Review of Deep Learning on Natural Language Processing
    • Citations: 35
    • Year: 2018
  • Title: Big Data Visualization: Allotting by R and Python with GUI Tools
    • Citations: 17
    • Year: 2018

 

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award -2888

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Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award

Ms. Amruta Chougule, Dr. D. Y. Patil Institute of Technology, Pune, India

🌟 Dr. Amruta Chougule is a distinguished AI researcher and educator with a PhD in Deep Learning and an MTech in Embedded Systems. Her academic journey includes a BE in Electronics and a DE in Electronics & Telecommunications, highlighting her strong foundation in technology. As an Assistant Professor at D.Y. Patil College of Engineering and Technology since October 2021, she is renowned for her expertise in AI and ML course development, student mentorship, and driving impactful research initiatives. Previously, as a Senior Software Engineer at Spring Source Technologies, Bangalore, from June 2019 to August 2021, Amruta led pioneering projects in NLP and object detection, leveraging advanced ML algorithms to enhance customer interactions and prevent fraud. Her commitment to advancing AI’s frontiers is underscored by her active participation in conferences and workshops, reflecting her dedication to innovation and excellence in the field. 🖥️

🌐 Professional Profile:

ORCID
Scopus

🎓 Education

Amruta Chougule holds a PhD in Deep Learning, completed in 2021, and an MTech in Embedded Systems from Savitribai Phule Pune University and VIT University Chennai, respectively. She earned her BE in Electronics from Bharat Vidyapeeth College of Engineering, Kolhapur, and a DE in Electronics & Telecommunications from D.Y. Patil Polytechnic.

🌟 Experience

As an accomplished AI Software Engineer and Analyst, Amruta has led groundbreaking research in Artificial Intelligence and Deep Learning. Her expertise spans analysis, design, development, and implementation of cutting-edge AI solutions, collaborating effectively across teams to achieve project excellence.

👩‍🏫 Assistant Professor

Since October 2021, Amruta has served as an Assistant Professor at D.Y. Patil College of Engineering and Technology, Kolhapur. She excels in designing comprehensive AI and ML courses, mentoring students, and guiding impactful research initiatives. Her commitment to advancing AI’s frontiers is evident through her active participation in conferences and workshops.

🖥️ Senior Software Engineer

From June 2019 to August 2021, Amruta worked as a Senior Software Engineer at Spring Source Technologies, Bangalore. There, she spearheaded the development of innovative NLP solutions and object detection systems, leveraging advanced ML algorithms to enhance customer services and detect fraudulent transactions.

📈 Achievements

Amruta led the development of predictive software for business forecasting, applying sophisticated statistical analysis and ML techniques. Her leadership and technical acumen have significantly contributed to the success of various projects, reflecting her dedication to pushing the boundaries of AI in practical applications.

Publication Top Notes:

  • Custom CNN-BiLSTM model for video captioning
    • Published in Multimedia Tools and Applications, 2024
  • Unveiling the Power of Transfer Learning: A Comparative Analysis of Video Features in Captioning Task
    • Presented at a conference, 2023
  • IoT Based Smart Car Monitoring System
    • Presented at the Tenth International Conference on Advanced Computing (ICoAC), 2018