Institute of Social Welfare and Research | University of Dhaka

Professor Dr. Abdul Hakim Sarker

Institute of Social Welfare and Research

University of Dhaka

QiM-AI 2.1

Intelligent Academic Companion for Social Welfare Research & Learning

Powered by advanced artificial intelligence, QiM-AI 2.1 provides contextual guidance, intelligent knowledge discovery, and personalized learning experiences for scholars, researchers, and students in social welfare and criminology.

QiM-AI Assistant

Always Learning

💡 Social Welfare Research
🔍 Publication Search
📊 Data Analysis Guide
✍️ Writing Assistance
Q

Hello! I'm QiM-AI 2.1, your intelligent research companion. How can I assist you with your academic inquiry today?

I'm researching restorative justice approaches in Bangladesh. Where should I start?

You
Q

Great research topic! Here's my personalized guidance:

  • Start with: Professor Sarker's foundational work on Restorative Justice (2010-2015)
  • Key themes: Victim-offender mediation, community involvement, cultural context
  • Related works: Criminology research papers, policy documents from ISWR
  • Methodology: Case studies, qualitative interviews, comparative analysis

Would you like me to search for specific publications or help you develop a research framework?

Core Capabilities

Advanced AI Functions for Academic Excellence

01

Research Guidance

Receive personalized guidance on research design, methodology selection, literature review strategies, and academic frameworks tailored to your specific inquiry.

  • Research design consultation
  • Methodology recommendations
  • Literature mapping
  • Gap identification
02

Knowledge Discovery

Intelligent semantic search across academic repositories, publications, working papers, and archival materials to uncover relevant research insights.

  • Semantic search
  • Citation network analysis
  • Emerging trends detection
  • Expert identification
03

Learning Personalization

Adaptive learning paths that customize content, difficulty levels, and pacing based on your knowledge background and learning objectives.

  • Personalized learning paths
  • Adaptive difficulty
  • Concept mastery tracking
  • Progress analytics
04

Publication Support

Intelligent tools for manuscript development, citation management, peer review guidance, and publication strategy optimization.

  • Writing enhancement
  • Citation formatting
  • Peer review simulation
  • Publication venue matching
05

Contextual Assistance

Real-time support within academic workflows, providing instant answers and explanations for concepts, theories, and research methodologies.

  • Instant Q&A
  • Concept explanations
  • Theory summaries
  • Academic terminology
06

Social Impact Analysis

Special focus on social welfare and criminology research, helping scholars assess community impact and policy implications of research findings.

  • Impact assessment
  • Policy implications
  • Community benefit analysis
  • Implementation planning

Technology & Philosophy

Academic Integrity

QiM-AI is designed to enhance human scholarship, not replace it. All recommendations maintain academic rigor and ethical standards.

Data Privacy

Your research queries and data are protected with enterprise-grade encryption and strict confidentiality protocols.

Continuous Learning

QiM-AI improves over time, learning from scholarly interactions to provide increasingly personalized and relevant guidance.

Institutional Trust

Backed by ISWR and University of Dhaka, QiM-AI maintains the highest standards of scholarly support and institutional excellence.

Knowledge Network Visualization

Explore the relationships between ideas, authors, and interdisciplinary research domains.

Semantic Knowledge Map

Visualize how themes in social welfare, restorative justice, and community development connect across research streams.

QiM-AI
Knowledge Discovery
Citation Networks
Research Collaboration
Policy Impact
Learning Pathways

Ready to Transform Your Research Experience?

Start using QiM-AI 2.1 for intelligent, personalized academic support