Informatics Doctoral Program

2.       Able to demonstrate academic leadership in the management of research in the field of Informatics which is beneficial for science and the benefit of mankind.

2.       Being able to develop theoretical, philosophical and applied concepts in the field of Informatics that they are engaged in, as well as to represent them in a structured and systematic manner in accordance with the focus areas of Data Science and CPS research.

2.       Able to compile research in interdisciplinary, multidisciplinary, or scientific trans-disciplinary, in the form of theoretical studies and or experiments.

3.       Able to communicate effectively and efficiently using Indonesian and English properly and correctly and able to write and present scientific papers as outlined in the form of dissertations, and papers that have been published either nationally or internationally.

2.       Able to formulate research problems, as well as formulate research gaps in order to produce original research and can make a real contribution to scientific development through systematic, critical, exploratory, innovative studies both independently and in groups in the scientific field, focused on the field of Data Science and CPS.

Qualification

 Assessment components of qualification exam:

1. Mastery of basic materials related to the problem to be studied.

2. Review of previous related studies: understanding of the issues raised, methods used, analysis of results, and opportunities for further development.

Qualification exam can be implemented if students have registered and completed all lectures in the 1st semester, and completed no later than 2 semesters since the student starts the Doctoral program.

Research Proposal

The assessment components of the Proposal Seminar are:

1. Problem definition, including justification and related literature

2. Research plan: methodology, research planning

3. Originality of the topic

4. Methodological accuracy

5. The novelty element of the research

6. Research output

Research & Publication

There are 3 sub-stages in the Research & Publication stage:

·     Dissertation, Seminar 1 and Writing Scientific Publications 1

Pre-requisites: Qualification Exam and Research Proposal Seminar

Passing Requirements:

1.   Students can defend the method that will be used for solving research problems.

2.   Students have been able to conduct initial experiments according to the proposed method

3.   Students already have 1 draft of scientific writing to be published

Dissertation, Seminar 2 and Writing Scientific Publications 2

Pre-requisites: 1^st Sub Stage (Dissertation, Seminar 1 and Writing Scientific Publications 1)

Passing requirements:

The student has been able to produce a scientific contribution published (status accepted) in a reputable international conference or national journal.

Dissertation, Seminar 3 and Writing Scientific Publications 3

Pre-requisites: 2nd Sub Stage (Dissertation, Seminar 2 and Writing Scientific Publications 2)

Passing requirements:

Students have completed a series of dissertation research which is stated with a scientific contribution that can be published in a reputable international journal (draft manuscript) and written in a dissertation book. The draft of the manuscript must be approved by the advisory team.

Dissertation Defense

Research Focus: Data Science

Research fields: Data and information science, Combinatorial optimization

Research:

1.       World Class Research: Tsunami Reconstruction with a Machine Learning Approach for Disaster Mitigation and Prevention

Profile Link : Scopus, Google Scholar, Sinta, ORCID

Research Focus: Cyber Physical System

Research field: Computer Network, Embedded System

Research:

1.       LPDP Research Project: Smart Lighting System to build a Green Ecosystem based on Internet of Things (IoT), case study: PT Bio Farma

2.       PPTI Kemenristek BRIN: Implementation of Internet of Things (IoT) Based Vaccine Seed Storage Room Security Using the OpenMTC Platform

Profile Link: Scopus, Google Scholar, Sinta, ORCID

Research Focus: Cyber Physical System

Research field: Internet of Things (IoT) with Machine Learning Tools

Research:

1.       PURWACARAKA-An integrated palm-based biometric security system based on IoT and Zeegbe Flatform

2.       Analysis of the Feasibility of Using the ADHOC Wireless Mesh Sensor Network as an IoT-based Residential Environment Security System Infrastructure

Profile Link: Scopus, Google Scholar, Sinta

Research Focus: Data Science

Research fields: Image processing, Computer Vision, Pattern Recognition

Research:

1.       Image Retrieval with a Hybrid of Contour and Texture Features as The Basis for Object Image Content

2.       Multi-Face Image Recognition System with Skin Color Segmentation Based on Content Image Retrieval (Cbir) and Agglomerative Clustering

Profile Link: Google Scholar, Sinta

Research Focus: Intelligent system

Research Field: Artificial Intelligence, Machine Learning, Data Mining, Speech Technology, Linguistics and Language, Swarm Intelligence, Evolutionary Algorithm, Soft Computing

Research with self/internal funding:

1.       Swarm Intelligence for Continuous Optimization Problems: function, science, and engineering optimization

2.       Swarm Intelligence for Discrete Optimization Problems: vehicle routing problems, timetabling, etc.

3.       Explainable Artificial Intelligence for Medical Applications: Diabetes, Glaucoma, Lung, Cancer, etc.

4.       Explainable Deep Learning for Robust Computer Vision: object detection, classification, identification

5.       Advancing Nearest Neighbor Classifiers: multi-commission representation-based classifier, etc.

Research with external funding:

1.       Phonemic Syllabification Model of Indonesian Words and Entities Names

2.       More Accurate and Natural Indonesian Text-To-Speech Model

3.       Detection of Multiclass Glaucoma

Profile Link: Scopus, Google Scholar, Sinta, ORCID