Seokbum Ko

Seokbum Ko

University of Saskatchewan

H-index: 29

North America-Canada

About Seokbum Ko

Seokbum Ko, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Saskatchewan, specializes in the field of DL processor architecture, efficient hardware implementation of compute-intensive applications, Computer arithmetic, Biomedical.

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

EMSOA based application mapping framework for power optimisation in 3D-NoC

Transfer Learning and Self-Distillation for automated detection of schizophrenia using single-channel EEG and scalogram images

DeepHistoNet: A robust deep‐learning model for the classification of hepatocellular, lung, and colon carcinoma

Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Survey

Designing Fault-Tolerant Digital Circuits in Quantum-Dot Cellular Automata

Deep learning-based age estimation from chest CT scans

Energy Efficient FPGA-Based Accelerator for Deep Spiking Neural Networks

A Survey of Majority Logic Designs in Emerging Nanotechnologies for Computing

Seokbum Ko Information

University

Position

Professor Dept. of ECE & Div. of Biomedical Engineering

Citations(all)

3747

Citations(since 2020)

2664

Cited By

1752

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

94

i10Index(since 2020)

62

Email

University Profile Page

University of Saskatchewan

Google Scholar

View Google Scholar Profile

Seokbum Ko Skills & Research Interests

DL processor architecture

efficient hardware implementation of compute-intensive applications

Computer arithmetic

Biomedical

Top articles of Seokbum Ko

Title

Journal

Author(s)

Publication Date

EMSOA based application mapping framework for power optimisation in 3D-NoC

International Journal of Electronics

Lakshminarayanan Gopalakrishnan

Seok-Bum Ko

2024/1

Transfer Learning and Self-Distillation for automated detection of schizophrenia using single-channel EEG and scalogram images

Mohammad Reza Mostafavi

Seokbum Ko

Shahriar Baradaran Shokouhi

Ahmad Ayatollahi

2023/9/8

DeepHistoNet: A robust deep‐learning model for the classification of hepatocellular, lung, and colon carcinoma

Microscopy Research and Technique

Ravindranath Kadirappa

Seok‐Bum Ko

2024/2

Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Survey

Muhammad Hamis Haider

Hao Zhang

S Deivalaskhmi

G Lakshmi Narayanan

Seok-Bum Ko

2024/1/14

Designing Fault-Tolerant Digital Circuits in Quantum-Dot Cellular Automata

R Marshal

K Raja Sekar

Lakshminarayanan Gopalakrishnan

Anantharaj Thalaimalai Vanaraj

Seok-Bum Ko

2024/1/14

Deep learning-based age estimation from chest CT scans

International Journal of Computer Assisted Radiology and Surgery

Ghazal Azarfar

Seok-Bum Ko

Scott J Adams

Paul S Babyn

2023/7/7

Energy Efficient FPGA-Based Accelerator for Deep Spiking Neural Networks

Hao Zhang

Congpeng Du

Seok-Bum Ko

2023/9/22

A Survey of Majority Logic Designs in Emerging Nanotechnologies for Computing

IEEE Transactions on Nanotechnology

Tingting Zhang

Honglan Jiang

Weiqiang Liu

Fabrizio Lombardi

Leibo Liu

...

2023/10/20

Interpretability of artificial intelligence models that use data fusion to predict yield in aeroponics

Journal of Ambient Intelligence and Humanized Computing

Julio Torres-Tello

Seok-Bum Ko

2023/4

An optimized hardware implementation of modular multiplication of binary ring LWE

IEEE Transactions on Emerging Topics in Computing

Karim Shahbazi

Seok-Bum Ko

2023/6/1

High Performance and Energy Efficient Floating-Point Multiplier on FPGA

Hao Zhang

Xueyi Zheng

Seok-Bum Ko

2023/9/22

Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms

Multimedia Tools and Applications

Yi Wang

Won Gi Jeong

Hao Zhang

Younhee Choi

Gong Yong Jin

...

2023/10/19

Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification

Network Modeling Analysis in Health Informatics and Bioinformatics

Gendry Alfonso-Francia

Jesus Carlos Pedraza-Ortega

Manuel Toledano-Ayala

Marco Antonio Aceves-Fernandez

Seok-Bum Ko

...

2023/12/22

A Long Short-Term Memory-based interconnected architecture for classification of grasp types using surface-Electromyography signals

IEEE Transactions on Artificial Intelligence

Andres Erazo

Seok-Bum Ko

2023/2/13

Multiobjective piecewise regressive elitism spotted hyena optimized mapping for 3D NoC architecture design

International Journal of Information Technology

Lakshminarayanan Gopalakrishnan

Seok-Bum Ko

2023/6

An automated multi-class skin lesion diagnosis by embedding local and global features of Dermoscopy images

Springer Journal on Multimedia Tools and Applications

Ravindranath Kadirappa

Deivalakshmi S

Pandeeswari R

Seok-Bum Ko

2023/3/4

UV-SAFE: Advancing Market Product Disinfection with Automated UV-Technology Device

Andres Erazo

Luis Allauca

Gabriel Guerra

Seok-Bum Ko

2023/11/11

Decoder Reduction Approximation Scheme for Booth Multipliers

IEEE Transactions on Computers

Muhammad Hamis Haider

Hao Zhang

Seok-Bum Ko

2023/12/14

Asymmetric meshed ground Balanced Antipodal Vivaldi Antenna with quarter-wavelength labyrinth director for ultrawideband microwave applications

AEU-International Journal of Electronics and Communications

R Pandeeswari

S Deivalakshmi

Seokbum Ko

2023/2/1

SFCNet: Deep Learning-based Lightweight Separable Factorized Convolution Network for Landslide Detection

Journal of the Indian Society of Remote Sensing

Sudaroli Sandana Janarthanan

Deivalakshmi Subbian

Saravanan Subbarayan

Hao Zhang

Seok Bum Ko

2023/4/18

See List of Professors in Seokbum Ko University(University of Saskatchewan)