kuala lumpur - Malaysia, 7-8 November 2023
Submission Format:
Submitted papers should follow IEEE format for conference papers. Papers should be typeset using 11-point or larger fonts, in a two-column, with ample spacing throughout and at least 1-inch margins all around. The title page of each submission should contain the title of the paper; each authors name, affiliation, and email address; and a short abstract summarizing the contributions of the paper. The full papers shall have a minimum of 4 pages and a maximum of 6 pages. Additional page(s) will be charged for $100 per page.
This should be followed by the body of the paper. Papers not adhering to the requirements on font size and margin length may be rejected summarily. To make things easier, please kindly use the A4 template from this IEEE link to be followed and used in formatting your paper.
Templates are available here: IEEE Template
Camera Ready Preparation:
If your paper gets accepted, it will not be published in our proceedings unless the following are done:
The conference id you can use the ID number 60214X for PDF Express purpose.
Submission Instruction:
Authors are required to submit their papers electronically in PDF (without security restrictions on copying or printing)
Submit your paper to Easy Chair by Following this Link : https://easychair.org/conferences/?conf=icced202https://s.id/form-icced22
International Participant | Status | Early bird Payment | Regular Payment | |
Presenter | IEEE Member | USD 300 | USD 325 | |
Non IEEE Member | USD 350 | USD 375 | ||
Poster | USD 200 | USD 250 | ||
Student Presenter | USD 275 | USD 300 | ||
Audience/Guest | USD 100 | USD 125 | ||
Affiliation with Indonesian institution/IIUM | Status | Early bird Payment | Regular Payment | |
Presenter | IEEE Member | IDR 3.000.000/RM 900 | IDR 3.250.000 / RM 1000 | |
Non IEEE Member | IDR 3.500.000 / RM 1100 | IDR 3.750.000 /RM 1200 | ||
Poster | IDR 2.000.000 /RM 600 | IDR 2.500.000 /RM 750 | ||
Student Presenter | IDR 2.750.000 /RM 850 | IDR 3.000.000 /RM 900 | ||
Audience/Guest | IDR 1.000.000 /RM 350 | IDR 1.250.000 /RM 400 |
For international participant make sure to add US$ 25 for each money transfer for Bank Administration Fee.
Bank Name : Bank Mandiri,
Branche : Cabang KCP Sukabumi Ahmad Yani, West Java, Indonesia
Swift code : BMRIIDJA
Account Name : Conference Nusa Putra
Account number : 1820009000555
For domestic participant please put the last 3 digits of your paper ID in the last 3 digit of the registration fee payment for tracking purpose.
Kurniawan, Nusa Putra University, Indonesia
Teddy Mantoro, Sampoerna University, Indonesia
Ts. Dr. Mohd Ibrahim Bin Shapiai @ Abdul Razak currently works as an Assoc. Professor at Malay-Japan International Institute of Technology (MJIIT) of Universiti Teknologi Malaysia Kuala Lumpur. Prior to his current position now, he previously worked as a lecturer at Universiti Teknologi Malaysia main campus in Skudai, Johor from 2008-2014. As for his educational background, in 2004, he graduated with his diploma in Telecommunication Engineering at Universiti Teknologi Malaysia followed by his Master in Audio Signal Processing at the University of York, United Kingdom in the year 2007. Not only that, but he also completed his Ph.D. in Machine Learning at Universiti Teknologi Malaysia. His widely known expertise including Artificial Intelligence, Machine Learning, Brain Computer Interface, and Swarm Intelligence.
The presentation titled “AI on Cloud: An Application” offers a practical exploration of artificial intelligence, spotlighting computer vision, 3D modeling, and generative AI. It kicks off with a historical review, spanning the early days of AI’s promise to the challenging “AI winters” marked by setbacks and technical constraints. However, the landscape has shifted significantly with the advent of deep learning, ushering in a new era of AI and the emergence of generative AI as a standout feature. Notably, Large Language Models like ChatGPT take center stage, showcasing their capacity to not only predict but also generate content. The presentation delves into the core principles of Large Language Models, elucidating how they can be tailored for various applications using embedding and fine-tuning methods. Beyond theory, the talk highlights concrete applications of AI in the cloud, encompassing tasks such as monitoring assets on tall structures, livestock counting, semiconductor defect detection, and the development of AI-driven chatbots for natural and engaging interactions. “AI on Cloud: An Application” delivers a holistic perspective on AI’s evolution, illustrating its wide-ranging impact across industries, from enhancing productivity to reshaping creativity and human-AI interactions.
Prof Saman Halgamuge, University of Melbourne, Fellow of IEEE and IET, received the Dr.-Ing and Dipl.-Ing in data engineering from the Technical University of Darmstadt, Germany, and BSc Engineering degree from University of Moratuwa, Sri Lanka. He is listed as a top 2% most cited researcher for AI and Image Processing in the Stanford database. His previous leadership roles include Head, School of Engineering at Australian National University and Associate Dean of the Engineering and IT at University of Melbourne. He graduated 50 PhD students and mentored 16 postdoctoral fellows in Australia. His research funding includes Australian and International industry and government agencies and philanthropic foundations. His associations with Malaysia include visiting professorship of University Putra Malaysia (current), University of Malaya (one month) and external member of Research Advisory Committee of University of Technology Petronas (over three years). His associations with Indonesia include visiting professorship of ITB (current) and joint grants with University of Gajahmada and Universitas Indonesia and providing presentations on research strategy to several universities in Indonesia and to Directorate General of Higher Education, Research and Technology at the Ministry of Education, Culture, Research and Technology. He is a frequently sought after public speaker who delivered about 50 keynote speeches in the last 10 years. His 2023 keynotes include: 17th IEEM (Singapore), 22nd InCOB (Australia), 15th ACIIDS (Thailand), ITIS (Indonesia), AIBC 2023 (Japan) and MICML (China).
The presentation titled ” Can AI change the developing countries on Earth?” The 21 st century AI needs to be socially responsible and equipped with capabilities to face serious threats like dangerous epidemics and climate emergencies. Several major technical issues hinder the creation of such AI with democratized access that would bring most of this technology to almost all people on Earth specially for developing nations. AI used in applications evade regulations in most parts of the world. I will introduce these major technical issues of AI as well as the opportunities current AI can create for the developing world. My talk will focus on two groups of AI applications: well-known applications of AI of value to the planet including the developing world, e.g., Health, Agriculture, Energy, Transportation and Environment and specific applications of AI mostly useful to the developing countries.
Ahmad Fadzil Ismail (Senior Member, IEEE) received a B.Sc. in Electrical Engineering from Gannon University, Erie, Pennsylvania, USA in 1994, an M.Sc. degree in Telecommunication and Information Systems from the University of Essex, UK in 1996, and the Ph.D. degree in Electronics from the University of Bath, UK in 2000. He is currently working as a Professor with the Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Selangor, Malaysia. He is a Professional Engineer with a Practicing Certificate enlisted at the Board of Engineering Malaysia and a registered Professional Technologist with the Malaysia Board of Technologists. His research interests include the development of active and passive target tracking algorithms, radio frequency and wireless systems, and microwave and millimeter wave technology.
Associating creativity and efficiency using artificial intelligence (AI) can be a prevailing means to augment prompt productivity and innovation in various domains, such as technology, business, and even art. To realistically bridge creativity and efficiency with AI, it’s decisive to strike a balance that includes strategy. While AI can expedite processes and offer insights, it should also leave room for human intuition, critical thinking, and ingenuity. A strategy that advocates sustainability must be imbued in the process flow. What is more, ethical contemplations should guide the development and use of AI in all creative processes. This is a safeguard so that AI doesn’t stifle creativity or originality.