Intraocular diagnosis surgery is the current research topics of Advanced Robotics and Automated System (ARAS) research themes. Since the human eye is a very delicate organ with minuscule anatomic structures, the ocular surgeries are needed to be performed under extra precision and higher manipulation capabilities in contrast to other surgeries. In fact, any minor surgeon miss-manipulation, which might be negligible in the majority of other surgical operations, might lead to unreversible complications and even blindness for the patient in the ocular surgeries. This fact highlights the importance of assistive technologies in eye surgical procedures. This workshop introduces ARASH:ASiST (ARAS Haptic system for EYE Surgery Training) developed at ARAS Surgical Research Group as a novel system used in intraocular surgeries, and the current research horizons are described for interested researchers. Furthermore, the skill and style of expert surgeons, are identified through CNN-based Networks from Video-based Capsulorhexis surgery by using AI methods. Current research horizons for skill assessment and transfer to novice surgeons will be discussed in detail, and the developed Eye surgery datasets are introduced to the interested researchers. Finally, the use of VAE-based Deep learning methods is introduced to classify Keratoconus Eye Disease from Pentacam medical Images, and ARAS-FARABI image-based dataset is introduced to interested researchers.