Md. Abdus Samad Kamal

Associate Professor

Gunma University

Japan

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About

Md. Abdus Samad Kamal is an Associate Professor at Gunma University, Japan. His research interests encompass dynamic analysis, resonance control, and optimization techniques, with recent work focusing on energy harvesting, automated vehicle intelligence, and advanced machine learning applications in healthcare. He has contributed to several innovative projects, including eco-friendly systems and intelligent transportation solutions.

Articles (20)

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2022

Collaborators (1)

A. S. M. Bakibillah

Institute of Science Tokyo

JAPAN

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Md. Abdus Samad Kamal

Research Interests

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Articles (20)

Dynamic Analysis and Resonance Control of a Tunable Pendulum Energy Harvester Using Cone-Based Continuously Variable Transmission

Diffusion models for topology optimization in 3D printing applications

Data-Driven Koopman Based System Identification for Partially Observed Dynamical Systems with Input and Disturbance

Cooperative Look-Ahead Lane Change System for Improving Driving Intelligence of Automated Vehicles in Critical Scenarios

Distributed Broadcast Control of Multi-Agent Systems Using Hierarchical Coordination

Feature Extraction Based on Sparse Coding Approach for Hand Grasp Type Classification

Eco-Friendly Smart Car Parking Management System with Enhanced Sustainability

Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique

Epileptic Seizure Detection from Decomposed EEG Signal through 1D and 2D Feature Representation and Convolutional Neural Network

Eco-Driving on Hilly Roads in a Mixed Traffic Environment: A Model Predictive Control Approach

CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET

Impact of COVID-19 on Smallholder Aquaculture Farmers and Their Response Strategies: Empirical Evidence from Bangladesh

Handwritten Numeral Recognition Integrating Start–End Points Measure with Convolutional Neural Network

A Cyber-Physical Framework for Optimal Coordination of Connected and Automated Vehicles on Multi-Lane Freeways

A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG

Recognition of Emotion with Intensity from Speech Signal Using 3D Transformed Feature and Deep Learning

Visibility Adaptation in Ant Colony Optimization for Solving Traveling Salesman Problem

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

Two Stop-Line Method for Modern T-Shape Roundabout: Evaluation of Capacity and Optimal Signal Cycle

Autonomous Vehicle Overtaking: Modeling and an Optimal Trajectory Generation Scheme

Collaborators (1)

A. S. M. Bakibillah

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