Shaker El-Sappagh

Babar Shah

Kyung Sup Kwak

Daehan Kwak

Jaiteg Singh Khaira

Amjad Ali

S. M. Riazul Islam

Tamer Abuhmed

Pervez Khan

Ahmad Ali AlZubi

Fiaz Gul Khan

Abolghasem Sadeghi-Niaraki

Arfat Ahmad Khan

Yong-Gi Kim

Irfan Hussain

Daeyoung Park

Fasee Ullah

Haseeb Javed

Faiza Qazi

Syed Danial Ali Shah

The Data Science and Artificial Intelligence Lab (DSAIL) at Sungkyunkwan University (SKKU), Republic of Korea, is an interactive group of professors, researchers, students, and industrial experts in the Department of Applied AI. The lab focuses on solving medical problems with AI technologies, developing AI for mental health, and proposing human-centered AI systems. They are actively looking for highly-motivated graduate students, undergraduate interns, post-docs, and research professors.

성균관대학교 응용인공지능학과 데이터 과학 및 인공지능 연구실(DSAIL)은 교수, 연구원, 학생 및 산업 전문가로 구성된 상호작용적인 그룹입니다. 본 연구실은 AI 기술을 활용한 의료 문제 해결, 정신 건강을 위한 AI 개발, 인간 중심 AI 시스템 제안에 중점을 둡니다. 의욕 넘치는 대학원생, 학부 인턴, 박사후 연구원 및 연구 교수를 적극적으로 찾고 있습니다.

Legal Judgment Prediction through Normatively Grounded Sentencing Guidelines and Large Language Models

KCC: Korean Civil Case Dataset for Legal Information Retrieval

BetaDAPR: An AI-based Expert Support System for Art Therapists with Qualitative and Quantitative Assistance

What I Meant, What You Felt: AI-Mediated Collaborative Drawing for Parent–Child Reflection

Relational vs. Procedural Trust: How Conversational Contingency and User Agency Shape Mental Health Self-Assessment Chatbots

Accuracy as Autonomy: How Reliable Information Enables Choice in Wheelchair-Accessible Taxi Services

When Behavior Is Not Enough: Identity Biases in Human–AI Creative Collaboration

If I Change Your Eyes, Are You Still You? Identity Thresholds in Deepfake Perception

Venus and Mars on Canvas: AI-Mediated Collaborative Drawing for Romantic Relationship Insight

Autiverse: Eliciting Autistic Adolescents’ Daily Narratives through AI-guided Multimodal Journaling

HAUTE: Harmonizing Action Units with Temporal-contextual Embeddings for Deepfake Detection

Multimodal Spatiotemporal Forecasting of Deepfake Propagation on Social Media

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

An Advanced Deep Learning Models-based Plant Disease Detection: A Review of Recent Research

An intelligent healthcare monitoring framework using wearable sensors and social networking data

Deep Learning-based Segmentation and Classification of Leaf Images for Detection of Tomato Plant Disease

Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture

Traffic accident detection and condition analysis based on social networking data

Transportation sentiment analysis using word embedding and ontology-based topic modeling

Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare

AI Student Success Predictor: Enhancing Personalized Learning in Campus Management Systems

SNOMED CT standard ontology based on the ontology for general medical science

Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling

Opinion mining based on fuzzy domain ontology and Support Vector Machine: A proposal to automate online review classification

An Internet of Things-based health prescription assistant and its security system design

A Novel Text Mining Approach for Mental Health Prediction Using Bi‐LSTM and BERT Model

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard

Deep feature extraction and classification of android malware images

UAV-enabled healthcare architecture: Issues and challenges

Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time

Fuzzy Ontology and LSTM-based Text Mining: A Transportation Network Monitoring System for Assisting Travel

Multiomics Analysis Reveals that GLS and GLS2 Differentially Modulate the Clinical Outcomes of Cancer

Farman Ali

Associate Professor

HAN, JIN YOUNG

Professor

Data Science and Artificial Intelligence Lab (DSAIL@SKKU)

교수님 소개

파르만 알리

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Legal Judgment Prediction through Normatively Grounded Sentencing Guidelines and Large Language Models

KCC: Korean Civil Case Dataset for Legal Information Retrieval

BetaDAPR: An AI-based Expert Support System for Art Therapists with Qualitative and Quantitative Assistance

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

파르만 알리

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Legal Judgment Prediction through Normatively Grounded Sentencing Guidelines and Large Language Models

KCC: Korean Civil Case Dataset for Legal Information Retrieval

BetaDAPR: An AI-based Expert Support System for Art Therapists with Qualitative and Quantitative Assistance

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집