Lecturer Specialist S1
School of Computer Science
Bina Nusantara University
I research, teach, and build. My work lives at the intersection of academic rigor and real-world engineering ideas that publish and ship.
I'm Emmanuel Daniel Widhiarto, a Lecturer Specialist at Bina Nusantara University and a researcher focused on Artificial Intelligence, NLP, and Software Engineering. My work bridges the gap between theoretical research and practical software implementation.
"Teaching is how I learn twice. Building is how I verify what I teach."
Before becoming a lecturer, I spent years as a Laboratory Assistant and mentor, teaching over 200 students in various programming disciplines — from Web and Mobile development to Deep Learning at Bangkit Academy.
Currently open to research collaborations, co-authorship, and interesting engineering challenges.
Delivering Instructor Led Training (ILT) on Python, Machine Learning, Deep Learning, NLP, and Generative AI. Mentoring university students on practical AI applications and workforce readiness.
Teaching and mentoring students in the School of Computer Science.
Mentored 200+ students in C, Java, Python, and Web Development. Achieved 95% satisfaction rate and developed video learning resources.
Developed 'Lingu', a Hanzi writing recognition app using Kotlin and TFLite with 90% accuracy. Applied CNN/ANN for predictive modeling.
Provided instructional support in Algorithms (C) and Programming (Java). Guided students in web development and database management.
Currently pursuing a Master's degree in Computer Science.
Graduated with GPA 3.71. Notable experiences include serving as a Full-Time Software Laboratory Assistant and Scholarship Mentor.
Sistem Informasi Manajemen Jemaat with real-time charts, face recognition attendance, and automated reports. Built for sector-level church administration.

Full-stack dues collection system for GPIB Menara Kasih across 14 sectors. Digitizing church financial recaps and member dependent tracking.
Thesis project for optimizing camp management. Features distinct portals for Admins, Members, and Trainers with automated class scheduling.
Bangkit Academy Capstone. Mobile app for Hanzi writing practice featuring a custom TFLite model with 90% recognition accuracy.
Personal journaling and mood tracking Android application with community sharing features and emotional trend analysis.
Open to research collaborations, speaking invitations, consulting, and interesting conversations. If you're working on something worth doing — reach out.