Publications by Professor Rishad Shafik - ePrints

Browsing publications by Professor Rishad Shafik.

Newcastle Authors	Title	Year
Saram Abbas Professor Rishad Shafik Professor Naeem Soomro Professor Rakesh Heer Dr Kabita Adhikari et al.	AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses	2025
Omar Awf Dr Farhad Merchant Professor Alex Yakovlev Professor Rishad Shafik	IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference	2025
Dr Farhad Merchant Professor Alex Yakovlev Professor Rishad Shafik	IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference	2025
Dr Olga Tarasyuk Dr Anatoliy Gorbenko Professor Rishad Shafik Professor Alex Yakovlev	Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines	2025
Omar Awf Tousif Rahman Professor Rishad Shafik	TinyML: Applications, Algorithms, Hardware/Software Co-design and Implementations	2025
Svein Tunheim Professor Rishad Shafik Professor Alex Yakovlev	Tsetlin Machine-Based Image Classification FPGA Accelerator With On-Device Training	2025
Dr Sergey Mileiko Professor Rishad Shafik Professor Alex Yakovlev Dr Domenico Balsamo	Run-time Energy and Time Management for Intermittent LoRaWAN Communications	2024
Professor Rishad Shafik Adrian Wheeldon Professor Alex Yakovlev Jie lei	A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning	2023
Dr Serhii Mileiko Darren Mackie Professor Rishad Shafik Dr Domenico Balsamo	A TEG-based Non-intrusive Ultrasonic System for Autonomous Water Flow Rate Measurement	2023
Shengqi Yu Professor Rishad Shafik Dr Domenico Balsamo Professor Alex Yakovlev	Approximate digital-in analog-out multiplier with asymmetric nonvolatility and low energy consumption	2023
Omar Awf Gang Mao Tian Lan Jesse Ojukwu Dr Fei Xia et al.	Asynchronous Control for Tsetlin Machine with Binary Memristor-Transistor Array	2023
Svein Tunheim Professor Rishad Shafik Professor Alex Yakovlev	Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification	2023
Omar Awf Professor Rishad Shafik Professor Alex Yakovlev Dr Farhad Merchant	Finite State Automata Design using 1T1R ReRAM Crossbar	2023
Omar Awf Tousif Rahman Dr Shengqi Yu Yujin Zheng Dr Domenico Balsamo et al.	IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines	2023
Dr Sidharth Maheshwari Tousif Rahman Professor Rishad Shafik Professor Alex Yakovlev Dr Ashur Rafiev et al.	REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines	2023
Dr Sergey Mileiko Professor Rishad Shafik Dr Domenico Balsamo	Stateful Energy Management for Multi-Source Energy Harvesting Transient Computing Systems	2023
Komal Krishnamurthy Omar Awf Tian Lan Dr Fei Xia Professor Alex Yakovlev et al.	Variable Duty Cycle Pulse Generation for Low Complexity Randomization in Machine Learning	2023
Dr Jordan Morris Dr Ashur Rafiev Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev et al.	An Alternate Feedback Mechanism for Tsetlin Machines on Parallel Architectures	2022
Tian Lan Gang Mao Dr Fei Xia Shengqi Yu Professor Rishad Shafik et al.	An Asynchronous Tsetlin Automaton Architecture with Integrated Non-volatile Memory	2022
Venkateshwarlu Gudur Dr Sidharth Maheshwari Professor Rishad Shafik	An FPGA Based Energy-Efficient Read Mapper With Parallel Filtering and In-Situ Verification	2022
Gang Mao Professor Alex Yakovlev Dr Fei Xia Professor Rishad Shafik Dr Shengqi Yu et al.	Automated Mapping of Asynchronous Circuits on FPGA Under Timing Constraints	2022
Gang Mao Professor Alex Yakovlev Dr Fei Xia Shengqi Yu Professor Rishad Shafik et al.	Automated Synthesis of Asynchronous Tsetlin Machines on FPGA	2022
Shengqi Yu Dr Thomas Bunnam Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev et al.	Energy-efficient neural network design using memristive MAC unit	2022
Dr Ivan Shmarov Dr Pablo Docampo Dr Thomas Billam Professor Rishad Shafik Professor Alex Yakovlev et al.	Fuzlearn: A Fuzzy Clusterization based Machine Learning using Learning Automata	2022
Tousif Rahman Professor Rishad Shafik Professor Alex Yakovlev	Resilient Biomedical Systems Design Under Noise Using Logic-Based Machine Learning	2022
Dr Ashur Rafiev Dr Jordan Morris Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev et al.	Visualization of Machine Learning Dynamics in Tsetlin Machines	2022
Sidharth Maheshwari Venkateshwarlu Gudur Professor Rishad Shafik Dr Ian Wilson Professor Alex Yakovlev et al.	CORAL: Verification-aware OpenCL based Read Mapper for Heterogeneous Systems	2021
Adrian Wheeldon Professor Alex Yakovlev Professor Rishad Shafik Dr Jordan Morris	Low-Latency Asynchronous Logic Design for Inference at the Edge	2021
Jie lei Professor Rishad Shafik Adrian Wheeldon Professor Alex Yakovlev	Low-Power Audio Keyword Spotting Using Tsetlin Machines	2021
Shengqi Yu Professor Rishad Shafik Thomas Bunnam Professor Alex Yakovlev	Optimized Multi-Memristor Model based Low Energy and Resilient Current-Mode Multiplier Design	2021
Dr Sidharth Maheshwari Professor Rishad Shafik Professor Alex Yakovlev Venkateshwarlu Gudur	PLEDGER: Embedded Whole Genome Read Mapping using Algorithm-HW Co-design and Memory-aware Implementation	2021
Dainius Jenkus Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev	QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning	2021
Dr Ibrahim Haddadi Dr Issa Qiqieh Professor Rishad Shafik Dr Fei Xia Mohammed Al-Hayanni et al.	Run-time Configurable Approximate Multiplier using Significance-Driven Logic Compression	2021
Adrian Wheeldon Professor Alex Yakovlev Professor Rishad Shafik	Self-timed Reinforcement Learning using Tsetlin Machine	2021
Mohammed Al-Hayanni Dr Fei Xia Dr Ashur Rafiev Emeritus Professor Alexander Romanovsky Professor Rishad Shafik et al.	Amdahl’s law in the context of heterogeneous many-core systems – a survey	2020
Professor Rishad Shafik Adrian Wheeldon Professor Alex Yakovlev	Explainability and Dependability Analysis of Learning Automata based AI Hardware	2020
Jie lei Adrian Wheeldon Professor Rishad Shafik Professor Alex Yakovlev	From arithmetic to logic based AI: A comparative analysis of neural networks and tsetlin machine	2020
Professor Rishad Shafik Professor Alex Yakovlev	Harmonizing energy-autonomous computing and intelligence: an editorial introduction	2020
Adrian Wheeldon Professor Rishad Shafik Tousif Rahman Jie lei Professor Alex Yakovlev et al.	Learning Automata based Energy-efficient AI Hardware Design for IoT Applications	2020
Ali Aalsaud Dr Fei Xia Dr Ashur Rafiev Professor Rishad Shafik Emeritus Professor Alexander Romanovsky et al.	Low-complexity run-time management of concurrent workloads for energy-efficient multi-core systems	2020
Dr Sergey Mileiko Thomas Bunnam Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev et al.	Neural network design for energy-autonomous artificial intelligence applications using temporal encoding	2020
Mohammed Al-Hayanni Dr Ashur Rafiev Dr Fei Xia Professor Rishad Shafik Emeritus Professor Alexander Romanovsky et al.	PARMA: Parallelization-Aware Run-time Management for Energy-Efficient Many-Core Systems	2020
Dr Sergey Mileiko Professor Rishad Shafik Professor Alex Yakovlev	A Pulse Width Modulation based Power-elastic and Robust Mixed-signal Perceptron Design	2019
Sam Alrudainy Professor Rishad Shafik Dr Andrey Mokhov Professor Alex Yakovlev	Lifetime Reliability Characterization of N/MEMS Used in Power Gating of Digital Integrated Circuits	2018
Ali Aalsaud Haider Alrudainy Professor Rishad Shafik Dr Fei Xia Professor Alex Yakovlev et al.	MEMS-Based Runtime Idle Energy Minimization for Bursty Workloads in Heterogeneous Many-Core Systems	2018
Ali Aalsaud Dr Ashur Rafiev Dr Fei Xia Professor Rishad Shafik Professor Alex Yakovlev et al.	Model-free Runtime Management for Concurrent Workloads on Many-Core Heterogeneous Systems	2018
Professor Rishad Shafik Professor Alex Yakovlev	Real-Power Computing	2018
Dr Issa Qiqieh Professor Rishad Shafik Dr Ghaith Tarawneh Dr Danil Sokolov Professor Alex Yakovlev et al.	Significance-Driven Logic Compression for Energy-Efficient Multiplier Design	2018
Dr Ashur Rafiev Mohammed Al-Hayanni Dr Fei Xia Professor Rishad Shafik Emeritus Professor Alexander Romanovsky et al.	Speedup and Power Scaling Models for Heterogeneous Many-Core Systems	2018
Professor Rishad Shafik	Welcome message	2018
Dr Issa Qiqieh Professor Rishad Shafik Dr Ghaith Tarawneh Dr Danil Sokolov Professor Alex Yakovlev et al.	Energy-Efficient Approximate Multiplier Design using Bit Significance-Driven Logic Compression	2017
Dr Issa Qiqieh Professor Rishad Shafik Dr Ghaith Tarawneh Dr Danil Sokolov Professor Alex Yakovlev et al.	Energy-Efficient Approximate Wallace Tree Multiplier using Significance-Driven Logic Compression	2017
Dave Burke Dainius Jenkus Dr Issa Qiqieh Professor Rishad Shafik Professor Alex Yakovlev et al.	Significance-Driven Adaptive Approximate Computing for Energy-Efficient Image Processing Applications	2017
Dave Burke Dainius Jenkus Dr Issa Qiqieh Professor Rishad Shafik Professor Alex Yakovlev et al.	Significance-Driven Adaptive Approximate Computing for Energy-Efficient Image Processing Applications	2017
Dave Burke Dainius Jenkus Dr Issa Qiqieh Professor Rishad Shafik Professor Alex Yakovlev et al.	Significance-driven adaptive approximate computing for energy-efficient image processing applications: special session paper	2017
Mohammed Al-Hayanni Professor Rishad Shafik Dr Ashur Rafiev Dr Fei Xia Professor Alex Yakovlev et al.	Speedup and Parallelization Models for Energy-Efficient Many-Core Systems Using Performance Counters	2017
Dr Fei Xia Dr Ashur Rafiev Ali Aalsaud Mohammed Al-Hayanni Dr Andrey Mokhov et al.	Voltage, Throughput, Power, Reliability and Multicore Scaling	2017
Dave Burke Professor Rishad Shafik Professor Alex Yakovlev	Challenges and opportunities in research and education of heterogeneous many-core applications	2016
Professor Rishad Shafik	Design and Implementation of an Adaptive Learning System: An MSc Project Experience	2016
Mohammed Al-Hayanni Dr Ashur Rafiev Professor Rishad Shafik Dr Fei Xia Professor Alex Yakovlev et al.	Extended Power and Energy Normalized Performance Models for Many-Core Systems	2016
Professor Rishad Shafik	K-Nearest Neighbor Based Methodology for Accurate Diagnosis of Diabetes Mellitus	2016
Mohammed Al-Hayanni Dr Ashur Rafiev Professor Rishad Shafik Dr Fei Xia	Power and Energy Normalized Speedup Models for Heterogeneous Many Core Computing	2016
Ali Aalsaud Professor Rishad Shafik Dr Ashur Rafiev Dr Fei Xia Yang Yang et al.	Power-Aware Performance Adaptation of Concurrent Applications in Heterogeneous Many-Core Systems	2016
Professor Rishad Shafik Dr Fei Xia	Power-Normalized Performance Optimization of Concurrent Many-Core Applications	2016
Professor Rishad Shafik	A Low-Cost Unified Design Methodology for Secure Test and Intellectual Property Core Protection	2015
Professor Rishad Shafik	Adaptive energy minimization of embedded heterogeneous system using regression-based learning	2015
Professor Rishad Shafik	Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems	2015
Professor Rishad Shafik	Application-Specific Memory Protection Policies for Energy-efficient Reliable Design	2015
Professor Rishad Shafik	Design considerations for reliable embedded systems	2015
Professor Rishad Shafik	Learning transfer-based adaptive energy minimization in embedded systems	2015
Professor Rishad Shafik	Lifetime Reliability Analysis of Complementary Resistive Switches under Threshold and Doping Interface Speed Variations	2015
Professor Rishad Shafik	Multinomial based memristor modelling methodology for simulations and analysis	2015
Professor Rishad Shafik	Thermal-aware Adaptive Energy Minimization of OpenMP Parallel Applications	2015
Professor Rishad Shafik	Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems	2015
Professor Rishad Shafik	A low power and robust carbon nanotube 6T SRAM design with metallic tolerance	2014
Professor Rishad Shafik	DeSyRe: on-demand adaptive and reconfigurable fault-tolerant SoCs	2014
Professor Rishad Shafik	Reinforcement learning-based inter- and intra-application thermal optimization for lifetime improvement of multicore systems	2014
Professor Rishad Shafik	A novel and unified digital IC design and automation methodology with reduced NRE cost and time-to-market	2013
Professor Rishad Shafik	A novel physical synthesis methodology in the VLSI design automation by introducing dynamic library concept	2013
Professor Rishad Shafik	Verilog-A based effective complementary resistive switch model for simulations and analysis	2013
Professor Rishad Shafik	Investigation into low power and reliable system-on-chip design [PhD thesis]	2010