Program Studi Magister Informatika (MIF) Unversitas Surabaya memiliki ciri khas mengedepankan solusi dan inovasi berbasis teknologi serta riset terkini di dunia bisnis dan industri. Lulusan Program Studi MIF diharapkan mampu memecahkan permasalahan, meningkatkan pengetahuan, serta mengelola riset dan pengembangan yang bermanfaat di bidang Data Science and Intelligent Systems dan IT Management untuk menghasilkan karya inovatif dan teruji serta mampu mendapat pengakuan nasional dan internasional.
lisana@staff.ubaya.ac.id
Riwayat Pendidikan
S1 Sekolah Tinggi Teknik Surabaya
S2 Swinburne University of Technology
S3 Assumption University
Program
Digital Media Technology (DMT)
Game Development (GD)
Keahlian
Software Engineering
IT Adoption in Organization
Educational Technology
UI/UX
Jabatan
Ketua Program Studi
SCOPUS
Google Scholar
SINTA
joko_siswantoro@staff.ubaya.ac.id
Riwayat Pendidikan
S1 Universitas Airlangga
S2 Institut Teknologi Bandung
S3 University Kebangsaan Malaysia
Program
Data Science & Artificial Intelligence (DSAI)
Information Technology (IT)
Keahlian
Computer Vision
Machine Learning
Digital Image Processing
Digital Signal Processing
Deep Learning
Optimization
SCOPUS
Google Scholar
SINTA
daniel@staff.ubaya.ac.id
Riwayat Pendidikan
S1 Institut Teknologi Sepuluh Nopember
S2 University Malaya
S3 University Malaya
Program
Information Management & Enterprise System (IMES)
Network & Cyber Security (NCS)
Keahlian
GIS Analyst
Web GIS Application
E-Government
Cloud Computing
Mobile App
Web Application
SCOPUS
Google Scholar
SINTA
jimmy@staff.ubaya.ac.id
Riwayat Pendidikan
S1 Universitas Surabaya
S2 The University of Melbourne
S3 The University of Queensland
Program
Information Management & Enterprise System (IMES)
Network & Cyber Security (NCS)
Keahlian
Information Retrieval
Database
Enterprise Resource Planning
SCOPUS
Google Scholar
SINTA
monica@staff.ubaya.ac.id
Riwayat Pendidikan
S1 Institut Teknologi Sepuluh Nopember
S2 Institut Teknologi Sepuluh Nopember
S3 Institut Teknologi Sepuluh Nopember
Program
Data Science & Artificial Intelligence (DSAI)
Information Technology (IT)
Keahlian
Image Processing
Pattern Recognition
SCOPUS
Google Scholar
SINTA
naimah.kusuma@staff.ubaya.ac.id
duladi@staff.ubaya.ac.id