Presenters:Dr. Somayeh Soltani, and Dr. Seyed Amin Hosseini Seno, Computer engineering at Ferdowsi University of Mashhad, Iran
Abstract:This course aims to introduce digital forensics, the existing standards in the field of digital forensics, and the law of Iranian's computer crimes. In this course, you will become familiar with the history of digital forensics, the phases of digital forensics, data collection methods and tools, digital forensics analysis tools, and the investigation of a pseudo-real case with various forensic tools. This course will be presented in Persian.
In order to register please register in the website and go to workshop section.
Implementing and Fine-tuning of Deep Learning Model on GPU
Presenters:
-Mohamad Taghiazdeh, Electrical Engineering at Iran University of Science and Technology, Tehran, Iran
-Narges MohammadiNezhad, Master of Computer Science, Kharazmi University, Tehran, Iran
Abstract:
The goal of this short course is to introduce the basic concept of GPU-based implementation as well as applications of Convolutional Neural Networks (CNNs) such as Transfer Learning. Also we focused on training, validating, and measuring of MobileNetv2 as a sample model of Deep Networks. In addition, after implementing of MobileNetv2 in the IranGPU JupyterNotebook-as-a-Service, we will fine-tune the MobileNetv2 to achieve better performance on output results.
In order to register please register in the website and go to workshop section.
Process Mining
Presenters:
1) Rahman Jalayer, Ph.D. candidate in Computer Engineering at Ferdowsi University of Mashhad, Member of WTLAB laboratory.
2) Mahmood Sultani, Ph.D. candidate in Computer Engineering at Ferdowsi University of Mashhad, Member of WTLAB laboratory.
3) Hamid Taghizadeh, Master of Science in Computer Engineering at Ferdowsi University of Mashhad, Member of WTLAB laboratory.
Abstract:
Process mining is defined as an analytical discipline for discovering, monitoring, and improving processes as they actually are and not as you think they might be. In this workshop, the basic concepts of process mining are discussed. Then the challenges in this field, as well as state-of-the-art, will be introduced. At the end, two very famous tools in this field will be introduced and taught.
Stream Processing with Apache Flink and Apache Kafka
Presenters:
1) Mostafa Mirzaie, Ph.D. candidate in Computer Engineering at Ferdowsi University of Mashhad, Member of WTLAB laboratory.
2) Ramin Rezvani, Ph.D. candidate in Computer Engineering at Ferdowsi University of Mashhad, Member of WTLAB laboratory.
Abstract:
Stream processing and real-time analytics have become some of the most important topics in Data Mining and Big Data area. A data stream is a countably infinite sequence of elements and is used to represent data elements that are made available over time. Processing such data type must be online, continuous and non-stop. In this workshop, the basic concepts of stream processing are first introduced. Then, stream processing with Apache Flink will be taught. Finally, Apache Kafka tool is then will be introduced. In each session, practical examples will be provided to participants.
