A5002247621- Online Learning and Analytics
- Intelligent Tutoring Systems and Adaptive Learning
- Educational Technology and Assessment
- Recommender Systems and Techniques
- Digital Transformation in Industry
- Open Education and E-Learning
- Educational Games and Gamification
- BIM and Construction Integration
- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Pharmaceutical Practices and Patient Outcomes
- Lung Cancer Diagnosis and Treatment
- Machine Learning and Algorithms
- Augmented Reality Applications
- Teaching and Learning Programming
- Building Energy and Comfort Optimization
- Machine Learning in Healthcare
- Healthcare Systems and Technology
- Artificial Intelligence in Healthcare
- Spreadsheets and End-User Computing
- 3D Surveying and Cultural Heritage
- Occupational Health and Safety Research
- Cloud Computing and Resource Management
- Learning Styles and Cognitive Differences
- Advanced Bandit Algorithms Research
Kerman University of Medical Sciences
2021-2024
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2019-2024
University of British Columbia
2022
Iscte – Instituto Universitário de Lisboa
2022
University of Lisbon
2019-2021
INESC TEC
2015-2018
Universidade do Porto
2015-2018
Over the years, AI has been utilized as a powerful tool to address complex challenges in AEC industry. In current practices, machines predominantly plan, manage, control, and optimize work without appropriately considering human-related input preferences. However, architects, engineers, managers, clients, other decision makers should consider their into better generate desired ideas, prototypes, solutions. addition, significant decisions industry are mainly reliant on heuristic processes...
The architecture, engineering, and construction (AEC) industry is undergoing a substantial change, the technological advancements are shaping future of this industry. Over years, numerous tools have been developed based on building information modeling (BIM) Internet Things (IoT) to manage variety tasks activities within different operational phases in AEC Recently, with advent novel internet-enabled technologies providing ability real-time connectivity, researchers started develop virtual...
The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of head-and-necksquamous-cell-carcinoma (HNSCC) cancer in a specific manner assist with assessment disease status, prognosis, and management. This study aims predict TNM for HNSCC via Hybrid Machine Learning Systems (HMLSs) radiomics features. In our study, 408 patients were included from Cancer Imaging Archive (TCIA) database, multi-center setting. PET images registered CT, enhanced, cropped. We...
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In article, we propose a method for predicting final grades course using only their performance data the current semester. It assists students analyzing how much effort they need put into obtain desired while helping instructors identify types at stages of provide better support them. Our method, initially clusters...
Nowadays using E-learning platforms such as Intelligent Tutoring Systems (ITS) that support users to learn subjects are quite common. Despite the availability and advantages of these systems, they ignore learners' time limitation for learning a subject. In this paper we propose RUTICO, recommends successful paths with respect learner's knowledge background under constraint. which is an example Long Term goal Recommender (LTRS), after locating learner in course graph, it utilizes Depth-first...
Abstract This paper addresses the problem of course (path) generation when a learner's available time is not enough to follow complete course. We propose method recommend successful paths regarding and his/her knowledge background. Our recommender an instance long term goal systems (LTRS). method, after locating target learner in graph, applies depth‐first search algorithm find all for given limitation. In addition, our estimates learning score paths. It also indicates probability error...
Multi-level multi-modality fusion radiomics is a promising technique with potential to improve the prognostication of cancer. We aim use advanced techniques on PET and CT images coupled deep learning (DL) outcome prediction in head neck squamous cell carcinoma (HNSCC). In our study, 408 HNSCC patients were included from The Cancer Imaging Archive (TCIA) multi-center setting. Prognostic outcomes (binary classification) overall survival (OS), distant metastasis (DM), locoregional recurrence...
With the emergence of online Music Streaming Services (MSS) such as Pandora and Spotify, listening to music became very popular. Despite availability these services, users face problem finding among millions tracks ones that match their taste. MSS platforms generate interaction data users' defined playlists enriched with relevant metadata. These metadata can be used predict preferences facilitate personalized recommendation. In this work, we aim infer tastes by using personal playlist...
The main goal of recommender systems is to assist users in finding items their interest very large collections.The use good automatic recommendation promotes customer loyalty and user satisfaction because it helps attain goals.Current methods focus on the immediate value recommendations are evaluated as such.This insufficient for long term goals, either defined by or platform managers.This recommending learning resources learn a target concept, also when company organizing campaign lead buy...
Gamified learning aims to motivate students using game elements. Although gamification can enhance students' enjoyment and engagement, it is unclear how different behave in interact with gamified contexts. To this end, we analyze a course. We devised such an experimental course on Multimedia Content Production (MCP), ran for ten years. At each year, modified after feedback from the previous year. determined student groups applying clustering techniques learner performance data, independently...
Abstract Background Smart and practical health information systems applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of (HIS) is usability evaluation. Objective This study aimed to evaluate emergency used at departments four educational hospitals in Kerman, Iran. Method was conducted two phases. In first phase, systems' shortages were identified using a semi-structured questionnaire by users (nurses IT staff). second based on...
Abstract Purpose: People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable protecting their lives. Timely preparation providing medicine for patients vital since shortage can endanger while excessive accumulation put them at expiration risk waste budgets. In this paper, we introduce a model the prediction commonly used (type amount) hospitals. Methods: We have dataset Afzalipur Hospital Kerman collected three...
In the commercial built environment, human-centered design is generally described as process of making preferences occupants most important priority in and management buildings, especially for energy-usage strategies. Currently by using advanced technologies such IoT, BIM, artificial intelligence, researchers have offered digital twin (DT) tools a novel solution developing new energy-management buildings. However, gap remains terms DT energy system optimizing operation HVAC miscellaneous...
Gamification is the usage of game elements in non-game contexts, such as education, where it can increase student's engagement and motivation. Multimedia Content Production (MCP) a gamified MSc course taking place at Instituto Superior Técnico, resorting to GameCourse, web application that was solely built for course. However, there need providing easier more efficient mechanisms customizing gamification elements, ultimately allowing GameCourse be used other courses well. To achieve our...