Group Members

Head of Research Group

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Assoc. Prof. Isman Kurniawan, Ph.D.

School of Computing

Telkom University, Bandung, Indonesia

Research Fields: Data Science, Chemoinformatics, Artificial Inteligence, Machine Learning, Computational Chemistry

Email: [email protected]

Student Member

Doctoral Student

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Fhira Nhita

Development of Evolutionary Hybrid Sampling Method to Improve Classification Model Performance on Imbalanced Data

Master Student

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Diya Namira Purba

Implementation of Firefly Algorithm Under-sampling Method in Handling Imbalance Data of Drug Target Interaction Prediction

Rizky Nurhaliza Harahap

Implementation of Ant Colony-SMOTE for Oversampling-Based to Handling Imbalanced Data in Drug Target Interaction Prediction

Asty Nabilah ‘Izzaturrahmah

Text-based Classification of Depression Detection by using Transformer Method Optimized by Grey Wolf Optimization

Muhammad Yusuf ML

Predicting Drug-Target Interaction With Structural-Based Feature By Using Graph Neural Network Optimized By Gravitational Search Algorithm

Ghina Khoerunnisa

Enhancing Generalization Ability of Drug Receptor Affinity Prediction Model through a Pre-trained Language Model and MultiHead Attention

Muhammad Rizky Yusfian Yusuf

Improving Drug Target Affinity Prediction using Dynamic Graph Attention Network with Multi-scales Features and Gated Skip Connection Mechanism

Wa Ode Dwiki Bella Avista

Implementation of Komodo Mlipir Algorithm-based Undersampling Method (KMAUS) in Handling Imbalanced Data

Undergraduate Student

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Muhammad Omar Dhani

Implementation of Gravitational Search Algorithm-CNN for COVID-19 Detection by using CT Scan Image

Fahri Sunarya

Utilizing the Bat Algorithm-Ensemble Approach for Ulcerative Colitis Detection from Gene Expression Data

Azzahra Kamila Linanda

Implementation of Cuckoo Search-Support Vector Machine Method in detecting ulcerative colitis based on gene expression data

M Aziz Al Adro Jalil

Predictive Modeling of Ulcerative Colitis Using Artificial Neural Network Optimized by Firefly Algorithm

Raden Muhammad Revi Hafiyyan

Predicting Drug Side Effect Using Gravitational Search Algorithm-Support Vector Machines Method: Case Study Eye disorders

Aditya Nugraha

Drug Side Effect Prediction using Cuckoo Search-Ensemble Method: Case Study Eye disorders

Auzan Fadhlan

Implementation of Artificial Neural Network optimized by Simulated Annealing in Predicting Side Effect: Case Study Eye disorders

Radli Maulana Arief

Implementation of Vision Transformer Method tuned by Grey Wolf Optimizer in detecting brain tumor based on medical image

Dicky Permata Putra

Medical Image-Based Brain Tumor Detection using BigTransfer Method tuned by Cuckoo Search Algorithm

Satria Ginting

Implementation of Firefly Algorithm-Support Vector Machine in Predicting Blood-Brain Barrier Penetration of Drug Candidate

Rayhan Risq Arya Brinanta

Predicting Blood-Brain Barrier Penetration of Drug Candidates Using a Cuckoo Search-Ensemble Method

Raden Fasya Mazaya Putri

Predictive Modeling of Blood-Brain Barrier Penetration of Drug Candidates Using Artificial Neural Network Optimized by Sine Cosine Algorithm

I Wayan Ardi Satya Putra

Implementation of Gravitational Search Algorithm-Support Vector Machine in prediction bioactivity of tetrahydropteridin derivatives as PLK1 inhibitor

Farhan Reypialfarizi

Predicting bioactivity of tetrahydropteridin derivatives as PLK1 Inhibitor using Multilayer Perceptron Optimized by Simulated Annealing

Daffa Maulana Fadhilah

Predictive Modeling of tetrahydropteridin derivatives bioactivity as PLK1 Inhibitor Using Cuckoo Search Algorithm-Ensemble Method

Muhammad Lutfi Zakaria

Rice Price Prediction in Bandung Regency, West Java Using Temporal Fusion Transformer Method Optimized by Grey Wolf Optimizer Algorithm