ProfessorsProfessors of University of KufaAmmar J. M. Karkar

Ammar J. M. Karkar

University of Kufa

H-index: 9

Asia-Iraq

About Ammar J. M. Karkar

Ammar J. M. Karkar, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Kufa, specializes in the field of Low power VLSI circuit design, Emerging Interconnects, multi/many-core processors, networks-on-chip, system-on-chip.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design and Implementation of a Parameterized Elastic Deep Neural Network Accelerator with a 32-Bit Floating-Point Number Using FPGA

FPGA Implementation of MAC Unit for Artificial Neural Network Accelerators

Prediction of COVID-19 Patients Recovery using Ensemble Machine Learning and Vital Signs Data Collected by Novel Wearable Device

Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone

Wire-Surface Wave NoC Architecture for Seamless on/off-chip Interconnect

Design and Development of a Bracelet to Monitor Vital signs of COVID-19 Patients

Thermal and performance efficient on-chip surface-wave communication for many-core systems in dark silicon era

Power density aware application mapping in mesh-based network-on-chip architecture: An evolutionary multi-objective approach

Ammar J. M. Karkar Information

University	University of Kufa
Position	Lecturer
Citations(all)	403
Citations(since 2020)	250
Cited By	227
hIndex(all)	9
hIndex(since 2020)	7
i10Index(all)	9
i10Index(since 2020)	5
Email	Access Email
University Profile Page	University of Kufa
Google Scholar	View Google Scholar Profile

Ammar J. M. Karkar Skills & Research Interests

Low power VLSI circuit design

Emerging Interconnects

multi/many-core processors

networks-on-chip

system-on-chip

Top articles of Ammar J. M. Karkar

Title	Journal	Author(s)	Publication Date
Design and Implementation of a Parameterized Elastic Deep Neural Network Accelerator with a 32-Bit Floating-Point Number Using FPGA		Ameer Alsultany Ammar JM Karkar	2023/11/24
FPGA Implementation of MAC Unit for Artificial Neural Network Accelerators		Sabreen Alsayyab Ammar JM Karkar	2022/10/24
Prediction of COVID-19 Patients Recovery using Ensemble Machine Learning and Vital Signs Data Collected by Novel Wearable Device	International Journal of Advanced Computer Science and Applications	Hasan K Naji Hayder K Fatlawi Ammar JM Karkar GOGA Nicolae Attila Kiss ...	2022
Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone		Hasan K Naji Nicolae Goga Ammar JM Karkar Haider Abdullah Ali Mandana Falahi ...	2022/10/24
Wire-Surface Wave NoC Architecture for Seamless on/off-chip Interconnect		Issraa H Hashim Ammar JM Karkar	2022/9/7
Design and Development of a Bracelet to Monitor Vital signs of COVID-19 Patients		Hasan K Naji Nicolae Goga Ammar JM Karkar Haider Abdullah Ali Mandana Falahi ...	2022/5/31
Thermal and performance efficient on-chip surface-wave communication for many-core systems in dark silicon era	ACM Journal on Emerging Technologies in Computing Systems (JETC)	Ammar Karkar Nizar Dahir Terrence Mak Kin-Fai Tong	2022/3/22
Power density aware application mapping in mesh-based network-on-chip architecture: An evolutionary multi-objective approach	Integration	Nizar Dahir Ammar Karkar Maurizio Palesi Terrence Mak Alex Yakovlev	2021/11/1
Internet of things and Health Care in Pandemic COVID-19: System requirments evaluation		Hasan K Naji Nicolae Goga Ammar JM Karkar Iuliana Marin Haider A Ali	2021/2/24
Highlighting E-learning Adoption Challenges using data Analysis Techniques: University of Kufa as a Case Study	Electronic journal of e-learning	Ammar JM Karkar Hayder K Fatlawi Ahmed A Al-Jobouri	2020/3