Imtiaz Ahmad | Computer Science | Best Researcher Award

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Imtiaz Ahmad | Computer Science | Best Researcher Award

Mr Imtiaz Ahmad, Hazara University Mansehra, Pakistan

Based on the provided information, Mr. Imtiaz Ahmad demonstrates significant potential as a candidate for the “Best Researcher Award.” Here’s an assessment of his qualifications:

Publication profile

Orcid

Educational Background

Mr. Imtiaz Ahmad holds a Master of Science in Computer Science from Hazara University Mansehra, graduating with an impressive CGPA of 3.71/4.00. His thesis focused on developing an adaptive and priority-based data aggregation and scheduling model for wireless sensor networks, showcasing his ability to tackle complex problems in this area. His Bachelor’s degree in Information Technology from the University of Malakand further laid the foundation for his technical expertise, although his CGPA of 2.95/4.00 was more modest. Nonetheless, his final year project on an online hospital management system reflects his ability to apply academic knowledge to real-world problems.

Research Contributions

Mr. Ahmad has made meaningful contributions to the field of computer science, particularly in wireless sensor networks and mobile edge computing. His publication in the Knowledge-Based Systems journal on adaptive and priority-based data aggregation and scheduling for wireless sensor networks is a strong indicator of his research capabilities. Additionally, his work on mobility prediction-based adaptive task migration in mobile edge computing, published in VFAST Transactions on Software Engineering, highlights his focus on cutting-edge issues in computer science. These publications in reputable journals underline his research aptitude and commitment to advancing the field.

Professional Experience

Mr. Ahmad has accumulated valuable teaching and technical experience through various roles. As a visiting lecturer at Hazara University and a computer science lecturer at other institutions, he has been responsible for planning and delivering lectures, assessing student work, and supervising final year projects. His involvement in these educational roles suggests a deep engagement with the academic community and a commitment to nurturing future researchers. His previous internship at Hazara University, where he addressed technical issues and assisted in setting up multimedia for conferences, adds to his practical experience.

Awards and Certifications

Mr. Ahmad has been recognized for his research potential early in his academic career, receiving the Best Student Researcher Award from the Department of Computer Science at Hazara University in 2020. Additionally, he was awarded a laptop through the Prime Minister’s Laptop Scheme for high achievers, which is a testament to his academic excellence. His professional certifications, including Microsoft Office Specialist and vocational training in computers, further bolster his technical skill set.

Conclusion

In conclusion, Mr. Imtiaz Ahmad’s solid academic background, impactful research publications, teaching experience, and recognized achievements make him a strong candidate for the “Best Researcher Award.” His work in wireless sensor networks and mobile edge computing is both relevant and innovative, positioning him well for continued contributions to the field of computer science. Therefore, he is indeed suitable for consideration for this prestigious award.

Publication top notes

Adaptive and Priority-Based Data Aggregation and Scheduling Model for Wireless Sensor Network

A Mobility Prediction Based Adaptive Task Migration in Mobile Edge Computing

 

 

Larbi Boubchir | Computer Science Award | Best Researcher Award

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Prof. Larbi Boubchir | Computer Science Award | Best Researcher Award

Prof. Larbi Boubchir, University of Paris 8, France

Prof. Larbi Boubchir appears to be a strong candidate for the “Research for Best Researcher Award” based on several key factors:

Publication profile

Academic and Professional Achievements

Prof. Boubchir is a Full Professor of Computer Science at the University of Paris 8, France, where he has held multiple significant roles, including Deputy Director of the LIASD laboratory and Head of the IUSD research group. His academic background includes a Ph.D. in Signal and Image Processing and an HDR degree in Computer Science, showcasing a solid foundation in his field.

Research Expertise

His research interests are diverse and highly relevant, covering artificial intelligence, biometrics, biomedical signal processing, and image processing. His expertise in advanced areas such as machine learning, deep learning, and feature engineering, coupled with practical applications in biometric security and health-related fields, highlights his significant contributions to cutting-edge technology.

Publication 

  • Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities 📉 – Cited by 155, 2005
  • Face–iris multimodal biometric identification system 🕵️‍♂️ – Cited by 104, 2020
  • Multi-spectral palmprint recognition based on oriented multiscale log-Gabor filters ✋ – Cited by 89, 2016
  • Multivariate statistical modeling of images with the curvelet transform 📊 – Cited by 79, 2005
  • A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with … ⏱️ – Cited by 74, 2012
  • A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate α-stable prior 📈 – Cited by 64, 2006
  • Wavelet Denoising Based on the MAP Estimation Using the BKF Prior With Application to Images and EEG Signals 🧠 – Cited by 57, 2013
  • EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms ⚡ – Cited by 50, 2020
  • A review of feature extraction for EEG epileptic seizure detection and classification 🔬 – Cited by 49, 2017
  • Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states 🔍 – Cited by 45, 2020
  • Robust model-free gait recognition by statistical dependency feature selection and globality-locality preserving projections 🚶‍♂️ – Cited by 39, 2016
  • Human gait recognition based on Haralick features 🚶‍♀️ – Cited by 38, 2017
  • Face–iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression kernel discriminant analysis 📸 – Cited by 37, 2018
  • Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization 🖐️ – Cited by 36, 2020
  • Human gait recognition using GEI-based local multi-scale feature descriptors 🕺 – Cited by 36, 2019

Awards and Recognition

He has received several prestigious awards, including IEEE Access Outstanding Associate Editor accolades and Best Paper awards at international conferences. These honors reflect his high impact and recognition in the research community.

Leadership and Teaching

In addition to his research, Prof. Boubchir has made substantial contributions to education as the head of Master’s programs in Cyber Security, Data Science, and Big Data. His leadership in these programs demonstrates his commitment to advancing knowledge and mentoring future professionals.

Conclusion

Prof. Boubchir’s extensive research contributions, leadership roles, and accolades make him a highly suitable candidate for the Research for Best Researcher Award.