Faculty

Institution

Unit

Venue

Sayed Ahmad Salehi

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Sayed Ahmad Salehi is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sayed Ahmad Salehi

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

computer science electrical engineering systems engineering machine learning signal processing engineering digital signal processing stochastic computing nanotechnology computational biology scientific computing hardware acceleration synthetic biology stochastic process mobile computing stochastic optimization convolutional neural networks low latency dna computing molecular sensing molecular reactions discrete wavelet transform chemical reaction networks fractional coding mathematical functions computational science electronics power electronics numerical algorithms mathematical optimization reliability engineering machine learning research automatic control swarm robotics phase change memory stochastic calculus lower bounds edge device filter (signal processing) error correction memory architectures non-volatile memory memory systems in-memory computing emerging memory technologies ultra-low latency hermitian-symmetric ifft pipelined architectures real-valued fft discrete-time signal processing markov chain computations stochastic logic positive coefficients double-nand expansion lifting-based hardware architectures vlsi technology neural network (machine learning) computer engineering molecular computing deep learning neural computation unconventional computing molecular programming approximate computation hardware algorithm vlsi circuit

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Low-Cost Keyword Spotting Architecture Based on Wavelet Packets Feature Extraction for Edge Device. (2024)

Sayed Ahmad SalehiPrakash Dhungana

edge devicecomputer sciencecomputer visionmobile computingnatural language processingpattern recognition

Exploring the Effect of Kernel Depth in Compact Keyword Spotting Models. 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024)

Prakash DhunganaSayed Ahmad Salehi

linguisticscomputer visionkernel depthnatural language processingpattern recognitionmachine learning

FUNSC: A Gui Software for Stochastic Computing. 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024)

Jackson P. HuseSayed A. Salehi

computer sciencestochastic computinggui software

RTKWS: Real-Time Keyword Spotting Based on Integer Arithmetic for Edge Deployment. (2024)

Prakash DhunganaSayed Ahmad Salehi

computer scienceedge deploymentmobile computingedge computingnatural language processing

AGNI: In-Situ, Iso-Latency Stochastic-To-Binary Number Conversion for In-Dram Deep Learning. (2023)

Supreeth Mysore ShivanandamurthySairam Sri VatsavaiIshan ThakkarSayed Ahmad Salehi

computer sciencein-dram deep learninglow latencydeep learningmachine learning

Area-Efficient Lfsr-Based Stochastic Number Generators With Minimum Correlation. IEEE Design and Test (2023)

Sayed Ahmad Salehi

mathematical optimizationcomputer sciencesystems engineeringlower boundsstochastic optimizationminimum correlationstochastic calculusmachine learning researchstochastic processreliability engineeringapplied mathematicsnumerical algorithms

Fundna Software for Computing Mathematical Functions by Dna. Research Square (Research Square) (2023)

Jackson HuseSayed Ahmad SalehiMahdi AhmadiMohammadreza Tavasoli Naeini

computer sciencecomputational biologymathematical functionsscientific computingfundna softwaredna computing

Low-Latency, Energy-Efficient In-Dram CNN Acceleration With Bit-Parallel Unary Computing. Springer eBooks (2023)

Ishan G. ThakkarSupreeth M. ShivanandamurthySayed Ahmad Salehi

computer scienceconvolutional neural networksdeep learninghardware accelerationbit-parallel unary computingultra-low latencymachine learning

Efficient Stochastic Computing-Based Circuits for Servomotor Controllers. (2022)

Nasrin ImanpourSayed Ahmad Salehi

servomotor controllerscomputer scienceautomatic controlelectrical engineeringroboticsapplied mathematics

In-Memory Bulk Bitwise Logic Operation for Multi-Level Cell Non-Volatile Memories. Proceedings of the International Symposium on Memory Systems (2022)

Sayed Ahmad Salehi

computer sciencein-memory computingmemorymemory architecturesemerging memory technologiescomputer engineeringmemory systemsnon-volatile memory

1
2
3
4
10 / page

Sayed Ahmad Salehi

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Sayed Ahmad Salehi is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sayed Ahmad Salehi

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Low-Cost Keyword Spotting Architecture Based on Wavelet Packets Feature Extraction for Edge Device. (2024)

Sayed Ahmad SalehiPrakash Dhungana

edge devicecomputer sciencecomputer visionmobile computingnatural language processingpattern recognition

Exploring the Effect of Kernel Depth in Compact Keyword Spotting Models. 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024)

Prakash DhunganaSayed Ahmad Salehi

linguisticscomputer visionkernel depthnatural language processingpattern recognitionmachine learning

FUNSC: A Gui Software for Stochastic Computing. 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024)

Jackson P. HuseSayed A. Salehi

computer sciencestochastic computinggui software

RTKWS: Real-Time Keyword Spotting Based on Integer Arithmetic for Edge Deployment. (2024)

Prakash DhunganaSayed Ahmad Salehi

computer scienceedge deploymentmobile computingedge computingnatural language processing

AGNI: In-Situ, Iso-Latency Stochastic-To-Binary Number Conversion for In-Dram Deep Learning. (2023)

Supreeth Mysore ShivanandamurthySairam Sri VatsavaiIshan ThakkarSayed Ahmad Salehi

computer sciencein-dram deep learninglow latencydeep learningmachine learning

Area-Efficient Lfsr-Based Stochastic Number Generators With Minimum Correlation. IEEE Design and Test (2023)

Sayed Ahmad Salehi

Fundna Software for Computing Mathematical Functions by Dna. Research Square (Research Square) (2023)

Jackson HuseSayed Ahmad SalehiMahdi AhmadiMohammadreza Tavasoli Naeini

computer sciencecomputational biologymathematical functionsscientific computingfundna softwaredna computing

Low-Latency, Energy-Efficient In-Dram CNN Acceleration With Bit-Parallel Unary Computing. Springer eBooks (2023)

Ishan G. ThakkarSupreeth M. ShivanandamurthySayed Ahmad Salehi

computer scienceconvolutional neural networksdeep learninghardware accelerationbit-parallel unary computingultra-low latencymachine learning

Efficient Stochastic Computing-Based Circuits for Servomotor Controllers. (2022)

Nasrin ImanpourSayed Ahmad Salehi

servomotor controllerscomputer scienceautomatic controlelectrical engineeringroboticsapplied mathematics

In-Memory Bulk Bitwise Logic Operation for Multi-Level Cell Non-Volatile Memories. Proceedings of the International Symposium on Memory Systems (2022)

Sayed Ahmad Salehi

computer sciencein-memory computingmemorymemory architecturesemerging memory technologiescomputer engineeringmemory systemsnon-volatile memory

1
2
3
4
10 / page

Similar Faculty Members

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Peng Li

Institution

University of California, Santa Barbara

Jaydeep Kulkarni

Institution

University of Texas at Austin

memetic computing

advanced computing

C. J. Richard Shi

Institution

University of Washington

electrical engineering

systems engineering

Janardhan Rao Jana Doppa

Institution

Oregon State University

industrial artificial intelligence

machine learning

Jose E Schutt-Aine

Institution

University of Illinois Urbana-Champaign

electromagnetic compatibility

circuit simulation

V John Mathews

Institution

Oregon State University

health monitoring

neural network (machine learning)

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Dmitri Strukov

Institution

University of California, Santa Barbara

Yingtao Jiang

Institution

University of Nevada, Las Vegas

computer architecture

integrated circuit

Similar Faculty Members

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Peng Li

Institution

University of California, Santa Barbara

Jaydeep Kulkarni

Institution

University of Texas at Austin

memetic computing

advanced computing

C. J. Richard Shi

Institution

University of Washington

electrical engineering

systems engineering

Janardhan Rao Jana Doppa

Institution

Oregon State University

industrial artificial intelligence

machine learning

Jose E Schutt-Aine

Institution

University of Illinois Urbana-Champaign

electromagnetic compatibility

circuit simulation

V John Mathews

Institution

Oregon State University

health monitoring

neural network (machine learning)

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Dmitri Strukov

Institution

University of California, Santa Barbara

Yingtao Jiang

Institution

University of Nevada, Las Vegas

computer architecture

integrated circuit