صورة الباحث

محمد عبدالله نعمان حميد الحياني

الجامعة التكنولوجية

Mohammed Al-hayanni is Lecturer in the Electrical Engineering Department, University of Technology, Iraq. He completed his PhD in 2019 in the School of Engineering, Newcastle University, United Kingdom. His research interests include developing practically validated robust performance adaptation models for energy-efficient many-core computing systems. He is an IEEE and IET member. He holds an MSc in Computer and Software Engineering and BSc in Electrical, Electronic and Computer Engineering from the University of Technology, Iraq.

معرف سكوباس

57193562438

معامل هيرتش

7

عدد البحوث

10

عدد الاستشهادات

86

Information Systems and Management

Computational Theory and Mathematics

Economics, Econometrics and Finance (miscellaneous)

Architecture

Theoretical Computer Science

Biomedical Engineering

Education

Information Systems

Computer Networks and Communications

Industrial and Manufacturing Engineering

Electrical and Electronic Engineering

Computer Science Applications

Computer Science (all)

Computer Science (miscellaneous)

Software

Control and Systems Engineering

Modeling and Simulation

Engineering (all)

Artificial Intelligence

Hardware and Architecture

عنوان البحث تاريخ النشر اسم المجلة رابط
Intelligent and secure real-time auto-stop car system using deep-learning models 2024-01-19 International Journal of Electrical and Computer Engineering Systems عرض
Intelligent Vehicle Driver Face and Conscious Recognition 2023-12-01 Revue D Intelligence Artificielle عرض
Detection and segmentation the affected brain using ThingSpeak platform based on IoT cloud analysis 2021-01-01 Periodicals of Engineering and Natural Sciences عرض
Run-time Configurable Approximate Multiplier using Significance-Driven Logic Compression 2021-01-01 Proceedings IEEE International Conference on Computer Design VLSI in Computers and Processors عرض
Parma: Parallelization-Aware run-Time management for energy-efficient many-core systems 2020-10-01 IEEE Transactions on Computers عرض
Amdahl's law in the context of heterogeneous many-core systems - A survey 2020-07-01 Iet Computers and Digital Techniques عرض
Speedup and power scaling models for heterogeneous many-core systems 2018-07-01 IEEE Transactions on Multi Scale Computing Systems عرض
Speedup and parallelization models for energy-efficient many-core systems using performance counters 2017-09-12 Proceedings 2017 International Conference on High Performance Computing and Simulation Hpcs 2017 عرض
Voltage, Throughput, Power, Reliability, and Multicore Scaling 2017-01-01 Computer عرض
Power and Energy Normalized Speedup Models for Heterogeneous Many Core Computing 2016-07-02 Proceedings International Conference on Application of Concurrency to System Design Acsd عرض