Our Speakers

Dr. Endra Joelianto

Faculty of Industrial Technology

Endra Joelianto received a bachelor’s degree in Engineering Physics from Institut Teknologi Bandung (ITB), Indonesia in 1990. He received Ph.D. in Engineering, from the Australian National University (ANU), Australia in 2002. Currently, he is an associate professor of the Instrumentation and Control Research Group, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, and research staff at the Centre for UnManned System Studies (CentrUMS), Center for Defense and Security Technology, National Center for Sustainable Transportation Technology (NCSTT), University Center of Excellence Artificial Intelligence on Vision, NLP and Big Data Analytics (U-CoE AI-VLB), ITB, Indonesia. His research interests are hybrid/discrete event control systems, advanced control, artificial intelligence, intelligent systems, and cyber-physical systems. He was a recipient of several awards. Dr. Joelianto is a senior member of IEEE.

Dr. Sunil Kumar

Assistant Professor

Dr. Sunil Kumar is an Assistant Professor (Selection Grade) in the Cybernetics Cluster, School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun (India). He received B. Tech from Kurukshetra University, Kurukshetra in CSE (2006), M.Tech from MMU, Ambala in CSE (2011), and Ph.D. (2021) from University of Petroleum and Energy Studies, Dehradun, India. He is a founder member of the OPEN community under the University of Petroleum and Energy Studies, He has more than 16 years of teaching experience at reputed NAAC-accredited universities such as the University of Petroleum and Energy Studies, Dehradun (NAAC accreditation A). He has published more than 20 research articles (including SCOPUS and SCI-indexed publications), edited/authored various books/book chapters, and served as a reviewer for various journals and conferences. His area of research is WSN, Deep Learning, IoT, Metaheuristic Optimization, and Data Mining. Connect with me: drskumar.cs@gmail.com

Dr. Mohammad Abu Yousuf

Professor

Dr. Mohammad Abu Yousuf received the B.Sc.(Engineering) degree in Computer Science and Engineering from Shahjalal University of Science and Technology, Sylhet, Bangladesh in 1999, the Master of Engineering degree in Biomedical Engineering from Kyung Hee University, South Korea in 2009, and a Ph.D. degree in Science and Engineering from Saitama University, Japan in 2013. In 2003, he joined as a Lecturer in the Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. In 2014, he moved to the Institute of Information Technology, Jahangirnagar University. He is now working as Professor at the Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh. His research interests include Biomedical Image Processing, Human-Robot Interaction, Computer Vision, and Natural Language Processing. He has published more than 100 research papers in different international journals and conferences

Dr. M. Sridevi

Professor and Vice Principal

Started the career as Programmer Analyst and received the best project, and master mind award for Schwan's project within a year for development and maintenance support.

Served as .Net consultant at USA for 3M and Ann Taylor client for a year.

Presently working as a Professor and Vice Principal at DSIRT, Perambalur leading a team of 45 members and 660 students

Received the best researcher and industrial connect award at Agni college of technology during the tenure 2017-2019 working as Associate Professor and Head leading a term of 17 members and 100 students.

Guided many innovative projects which are published and patented.

Approved research supervisor Anna university Chennai Electrical Eng dept

Published 29 journals in the area of Artificial intelligence

Anna University Chennai Annexure 1 Journal published list -06

Sci journal -23

International journal reviewer

Transactions of the Institute of Measurement and Control, Instrumentation science and technology

Computer Methods in Biomechanics and Biomedical Engineering, Ain Shams Engineering Journal-Elsevier

Brazilian Journal of Chemical Engineering., Journal of process control

Journal of Medical Image Processing, Journal of Experimental & Theoretical Artificial Intelligence

Dr. Chen L

Assistant Professor

CURRENT POSITION

Assistant Professor, Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University

RESEARCH INTERESTS

• Smart healthcare, medical image analysis, clinical decision support systems
• Deep learning and machine learning
• Natural language processing and longitudinal data analysis

KEY SKILLS

• Machine learning, deep learning, and data modelling for text and image data

• Complex and longitudinal data pre-processing and analysis

• Python packages (tensorflow, scikit-learn, opencv, pillow, numpy, scipy), Matlab, Ubuntu (Linux) OS

• Academic publications, conference papers, ARC grant proposals and other academic writing (LaTex)

EDUCATIONAL QUALIFICATIONS

• Ph.D. in Computer Science (Data Mining), University of Queensland (UQ), Apr. 2013 – Feb. 2017

• Master of Computer Science, UQ, Jul. 2010 – Nov. 2011

• Master of Information Technology, UQ, Mar. 2009 – Jun. 2010

• Bachelor of Arts (Philosophy major), National Taiwan University, Sep. 2002 – Jun. 2006

EMPLOYMENT HISTORY

1. 2020 – Present Assistant Professor, Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taiwan.

2. 2018 – 2020 Researcher, Clarivate Analytics, Brisbane, Australia.
3. 2016 – 2018 Research Developer, TrademarkVision (acquired by Clarivate Analytics, Oct. 2018), Brisbane, Australia.
4. 2015 – 2015 Internship, Hunan Research Centre for Hypertension, The 3rd Xianya Hospital, Central South University, China.

PUBLICATIONS

JOURNAL ARTICLES

1. Fang-Ming Hung, Chih-Ho Hsu, Jun-En Ding & Ling Chen, Hospital transfer risk scoring system for a Taiwan COVID-19 medicalized hotel based on graph convolutional networks (2022). J. Formos. Med. Assoc. (SCIE, 61/172, MEDICINE, GENERAL & INTERNAL).

2. Jing-Xian Shu, Ying Li, Ting He, Ling Chen, Xue Li, Lin-Lin Zou, Yin Lu, Xiao-Hui Li, An-Li Wang, Xing Liu, Hong Yuan (2018, Jan). Applying a “Big Data” Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus. Medical Science Monitor, 24, 114-148. (Scopus, 90/136 MEDICINE, RESEARCH & EXPERIMENTAL).
3. Ling Chen, Xue Li, Quan Z. Sheng, Wen Chih Peng, John Bennett, Hsiao Yun Hu, Nicole Huang (2016, Sep). Mining Health Examination Records - A Graph-Based Approach. IEEE Transactions on Knowledge and Data Engineering, 28(9), 2423-2437. (SCIE, 29/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).
4. Ling Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao-Yun Hu, Nicole Huang (2016, Jan). Personal health indexing based on medical examinations: A data mining approach. Decision Support Systems, 81(2016), 54-65. (SCIE, 30/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ).
5. Ling Chen, Yang Liu, Marcus Gallagher, Bernard Pailthorpe, Shazia Sadiq, Heng Tao Shen, Xue Li (2012, Oct). Introducing cloud computing topics in curricula. Journal of Information Systems Education, 23(3): 315-324.

BOOK CHAPTERS

1. Chen, L., Tseng, V. S., Tsao, H. M., & Tang, G. J. (2022). Personalized decision support for cardiology based on deep learning: an overview. Edge-Of-things in Personalized Healthcare Support Systems, 45-75.

2. Sayan Unankard, Ling Chen, Peng Li, Sen Wang, Zi Huang, Mohamed A. Sharaf, Xue Li. On the prediction of re-tweeting activities in social networks - A report on WISE 2012 challenge. Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651 (ISBN: 978-3-642-35062-7). Berlin, Heidelberg: Springer. Nov, 2012: 7651 LNCS, 744-754.

CONFERENCE PAPERS

1. Ling Chen, Xue Li, Sen Wang, Hsiao Yun Hu, Nicole Huang, Quan Z. Sheng, Mohamed Sharaf (2014, Dec). Mining Personal Health Index from Annual Geriatric Medical Examinations. Proceedings of 2014 IEEE International Conference on Data Mining, 761-766.

AWARDS

• 2014 Premier’s Awards for Open Data - Best Use of Open Data and Microsoft StartUp Q Award (WikiQueensland- a big data fusion system), Queensland, Australia

• Richard Jago Memorial Prize 2014, University of Queensland (UQ)

• UQ Graduate School sponsorship, 2014 C9-Go8 Forum on Global challenges of Ageing, Sydney

• First prize of the Data Mining Track, WISE 2012 (ERA A-ranked conference) Challenge

• Best Group Project (CSSE3005/7025 Adv. InfTech Project, 2010), UQ

• Dean’s Commendation for High Achievement (S1 2009, S1 2010, S1 2011), UQ

• Presidential Awards (S1 2004, S1 2005, S2 2005), National Taiwan University

Saina Adiban Afkham

Main Education:

-BSc of Biotechnology Student (Microbial, Health and Clinical Branch) at IAU (2018 - Present)

-NODET (National Organization for Development of Exceptional Talents) graduated (2011 - 2018); Field: Experimental Sciences

- Affiliations:

-Systems Artificial Intelligence Network (SAIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran

-Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran

-Innovation and Creativity Research Association for Transforming Education (I-CREATE), Universal Scientific Education and Research Network (USERN), Tehran, Iran

-Association of Science and Art (ASA), Universal Scientific Education and Research Network (USERN), Tehran, Iran

-Bioinformatics and Computational Biology (BCB), Universal Scientific Education and Research Network (USERN), Tehran, Iran

-Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran

- Work and Research Experiences:

- Founder of Systems Artificial Intelligence Network (SAIN), Universal Scientific Education and Research Network (USERN) -> [January 2021 – Present]

- Machine Intelligence Research Labs (MIR Labs) Member -> [July 2020 - Present]

- English teacher at Iranmehr Institute -> [November 2020 – Present]

- AI and Python teacher at NODET (National Organization for Development of Exceptional Talents) -> [October 2020 – Present]

- AI and Python teacher for high school students -> [October 2020 – Present]

- Researcher at I-CREATE (Innovation and Creativity Research Association for Transforming Education; Interest Group of USERN) -> [Nov 2018 - Present]

- Researcher at BCB (Bioinformatics and Computational Biology; Interest Group of USERN) -> [Apr 2019 - Present]

- Researcher at SRMEG (Systematic Review and Meta-Analysis Expert Group; Interest Group of USERN) | COVID-19 Project -> [March 2020 - Present]

- Physics Teacher Assistant at NODET -> [Aug 2018 - Present]

- USERN Platform Development core team member -> [Dec 2019 - Present]

- Former Researcher of NiRG (Non-Ionizing Radiation Group; Interest Group of USERN) -> [Feb to Oct 2019]

- Central team member of Higher Order Thinking Skills Group (HOTS) at SSRC-TUMS (Student Scientific Research Center) -> [Sep 2019 – Feb 2020]

- Strategic Planner at USERN Evaluation Team -> [Sep to Dec 2019]

- Member of Association of Science And Art (ASA; Interest Group of USERN)

- Writer and Translator of Iranian Journal of Artificial Intelligence: http://homeai.ir/

- Writer at Darukadeh Magazine – Kermanshah University of Medical Sciences

- Writer at Virgool

- Writer at Medium

- International Congress of BioMedicine (ICB) 2018 Team Member and Report Photographer

- Other Education:

- Iran Language Institute (ILI) Advanced English graduated

- Current German language (Deutsch; A2)

- Skills:

~Research:

- Scientific Writing (Intermediate)

- Biological Statistics (Intermediate)

- Familiar with Systematic Review and Meta-Analysis Principles (Intermediate)

~Educational:

- Teaching (Advanced)

- Online Courses Planning (Advanced)

- Academic adviser (Advanced)

- Educational content producing (Advanced)

~Technical:

- Designer (Logo & Graphics) (Advanced)

- Digital Painting & Calligraphy (Intermediate)

- Programming: Python (Advanced) - R (Intermediate) C++ and C (Intermediate) - PHP & Wordpress (Intermediate) - Django (Intermediate)

- Online Content Producing (Advanced)

- Web Writing (Advanced)

- Microsoft Office 2019 Package (Advanced)

- Google Drive / One Drive Package (Advanced)

~Professional:

- Leadership (Advanced)

- Teamwork (Advanced)

- Project Management (Advanced)

- Design thinking (Advanced)

~Lingual:

- Persian (Native)

- English (Advanced)

- German (Basic)