Applied Computing (MSc/PhD)
The Master course in the Applied Computing Graduate Program develops research activities on various topics in Computer Science, training and qualifying professionals, professors and researchers from different areas of exact and technological sciences. The teaching staff is interdisciplinary and has active researchers, both nationally and internationally. Currently, we carry out projects with several companies that are promoting agencies, acting strongly for regional and national development. Topics such as Artificial Intelligence, Computer Vision, Software Engineering, Smart Cities, Internet of Things, Cloud and Fog Computing, E-Health, Augmented and Virtual Reality and 5G Mobile Communication are some of the topics covered in the Master's course
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EMPHASIS: Modeling and Simulation
The scientific development and complexity of the problems, as well as the amount of information involved, increasingly require the modeling of intelligent systems and the use of computational tools. This characteristic is presented as a strong point of the Applied Computing Graduate Program, as it allows a large number of interfaces with different areas of knowledge, involving themes such as smart cities, computer vision, artificial intelligence and Internet of Things.
Lines of action
This research line investigates methodologies, techniques, metrics, and technologies to create, maintain and evaluate the software. The line prioritizes the study of computational models, software architectures, software quality, frameworks, and software processes, mainly oriented to the development of Intelligent Environments (AMI). In addition to these themes, the research carried out in the line of Software Engineering and Intelligent Environments applies mobile and ubiquitous computing, smart cities, service-oriented architectures, software engineering for the internet of things, big data, analytics, multi-agent systems, ontology engineering, and machine learning. The research is focused on several application areas, such as health, education, accessibility, agriculture, commerce, logistics, computer games, virtual reality, corporate applications, and project management.
It investigates the problems related to the synthesis and analysis of signals and static and dynamic images, including image and signal processing, rendering, computational geometry, and animation. The line focuses on data visualization, virtual reality, and model building, with applications in the medical, games, sociology, and robotics areas.
Here, we have research and development of algorithms, middleware, and innovative applications within the scope of the Internet of Things (or IoT, of the Internet of Things term), including aspects related to architecture, performance, load balancing, interoperability, mobility, scaling, and scalability. In this context, the use of mobile devices, context science, wearables, and sensors, based on technologies such as Bluetooth / BLE, NFC, RFID, ZigBee, and UWB, stands out. There is a focus on using the characteristics of virtualization and elasticity of cloud computing and proposing models, ontologies, and heuristics to develop distributed, mobile and ubiquitous applications, seeking tangible benefits for society. Some of the main application areas include health, electronic commerce, logistics, transport, and energy, both directly in a target application and indirectly through middleware used to make IoT a reality.
In this research line, we have intelligent systems that address both Symbolic Artificial Intelligence and Computational Intelligence techniques, involving Intelligent Tutoring Systems, Animated Pedagogical Agents, Affective Computing, Neural Networks, Data Mining, and Intelligent Transport Systems. We highlight the study and application of these systems to solve problems in the field of Informatics in Education, Transport, Electric Energy, Oil Companies, among others.
Discover the projects developed in the line of action:View Research projects
Master's Degree Curriculum
Compulsory Core Disciplines (6 credits)
Elective Courses (15 credits)
The student of the Applied Computing Graduate Program has at your disposal a faculty composed mostly of masters, doctors and post-doctor, with national and international training and recognized professional experience.
Cristiano Andre Da CostaDoutor em Computação firstname.lastname@example.org
Dr. Cristiano André da Costa is a full professor at Unisinos. He is the founder and director of SOFTWARELAB, Unisinos' Center for Excellence in Software Innovation, in which he coordinates several research, development and innovation projects with the industry. His research interests include Internet of Things (IoT), artificial intelligence, distributed systems, blockchain, mobile computing, and medical informatics. He works in several application topics, notably in the health area. Dr. Costa has been a CNPq productivity fellow since 2012 and is a senior member of ACM and IEEE.
Cristiano Bonato BothDoutor em Computação email@example.com
Cristiano Bonato Both is a research fellow of the Brazilian National Council for Scientific and Technological Development (CNPq). His research focuses on wireless networks, Mobile technologies (RAN and 5GC), softwarization and virtualization technologies for telecommunication networks, and SDN-like solutions for the Internet of Things based on Low-Power Wide Area Network (LPWAN).
Gabriel de Oliveira RamosDoutor em Computação firstname.lastname@example.org
Gabriel is an Assistant Professor of the Graduate Program in Applied Computing at Unisinos, Brazil. Prior to that, he was a Postdoctoral Research Fellow at the AI-Lab of Vrije Universiteit Brussel (VUB), Belgium. Gabriel received his PhD (2018, with highest honours) and MSc (2013) degrees in Computer Science from the Institute of Informatics of the Federal University of Rio Grande do Sul (UFRGS). His research focuses on Artificial Intelligence, in particular machine learning, reinforcement learning, multiagent systems, game theory, and search, with applications in smart cities, including traffic, electricity grids, healthcare, and industry. Website: https://gdoramos.net
Jorge Luis Victoria BarbosaDoutor em Computação email@example.com
Jorge Barbosa holds undergraduate degrees in Technology in Data Processing and Electrical Engineering. He obtained a specialization in Software Engineering and completed MsC and PhD in Computer Science. The professor conducted postdoctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea) and at University of California Irvine (UCI, Irvine, USA). Jorge works as a Productivity Researcher in Technological Development and Innovative Extension at CNPq. His interest areas are Mobile and Ubiquitous Computing, Internet of Things, Bigdata, Embedded Systems, Robotics, Smart Environments, Smart Cities, Smart Vehicles, Similarity Analysis and Patterns in Historical Contexts, Accessibility Applications, Agriculture, Commerce, Education, Industry 4.0, Logistics and Health.
Kleinner Silva Farias De OliveiraDoutor em Informática firstname.lastname@example.org
Kleinner Farias holds a PhD in Informatics from the Pontifical Catholic University of Rio de Janeiro (2012). He has experience in Computer Science, with an emphasis on Software Engineering, working mainly on the following themes: software design and architecture, software modeling, experimental software engineering, neuroscience applied to software engineering, and model-driven software development.
Luiz Gonzaga Da Silveira JuniorDoutorado em Engenharia Elétrica email@example.com
Luiz Gonzaga da Silveira Jr received the BSc degree in electrical engineering from the Federal University of Paraíba (UFPB, currently UFCG) in 1993, M.Sc. and Ph.D. degrees in electrical engineering from the State University of Campinas (UNICAMP) in 1996 and 2005, respectively. He has held researcher and professor positions with Unisinos University, São Leopoldo, Brazil, where he co-created and coheads the Vizlab (X-Reality and GeoInformatics Lab). His research interests include visual computing, virtual and x-realities, augmented reality, and immersive visualization, focusing on geoinformatics applications, mainly spectral sensing and machine learning techniques for prediction and knowledge extraction from multi-sensing data. He has problems in petroleum geology, civil and environmental engineering, and medical/healthcare applications. He is currently a member of the SBC, IEEE, and ACM.
Mauricio Roberto VeronezDoutor em Engenharia Civil firstname.lastname@example.org
Received his M.Sc. and Ph.D. degrees in transportation engineering from the University of São Paulo at the São Carlos School of Engineering State University, Brazil. He has held ecturer and professor positions at Unisinos University, where he cocreated and coheads the Vizlab | X-Reality and GeoInformatics Lab. His research interests include Global Navigation Satellite Systems, Remote Sensing, Digital Imaging, Urban and Regional Planning and 3D immersive visualization with a strong bias on Geoinformatics and AI applications
Rafael KunstPhD in Computing email@example.com
Professor and Researcher at the Graduate Program in Economics at the Universidade do Vale do Rio dos Sinos (Unisinos). He holds a Ph. D. and an M.Sc. degree in Computer Science; both received from the Federal University of Rio Grande do Sul (UFRGS). His current research interests involve data science, machine learning, next-generation mobile communications, such as 5G and 6G, military communications, Industry 4.0, smart cities, and the Internet of Things. He has extensive experience as a consultant, coordinating and participating in projects with companies from Brazil and abroad. In 2009 and 2010, he was an invited researcher at the University of Pisa, Italy, and in 2020 he was a visiting professor at the IBM Watson IoT Center - Munich, Germany.
Rodolfo Stoffel AntunesDoutor em Computação firstname.lastname@example.org
Rodolfo Stoffel Antunes has a B.Sc. in Computer Science from UNISINOS (2009) and a Ph.D. in Computer Science from UFRGS (2016). He also was a guest researcher at Machine Learning and Data Analytics Lab from FAU Erlangen-Nürnberg (Alemanha, 2020). He collaborated in various R&D projects in partnership with companies such as Siemens Healthineers and Dell Computers. His research interests include distributed applications, internet-of-things, computer networks, and computational systems security.
Rodrigo Da Rosa RighiDoutor em Computação email@example.com
Rodrigo da Rosa Righi is a senior member of IEEE and a senior member of ACM, a CNPq productivity fellow and coordinator of the Graduate Program in Applied Computing (PPGCA) at the University of Vale do Rio dos Sinos (Unisinos), where he also serves as researcher and advisor of undergraduate students, undergraduate degree, master's and doctorate. He has a postdoctoral degree, held at KAIST (Korea Advanced Institute of Science and Technology) -South Korea, with an emphasis on the areas of Internet of Things and Cloud Computing. The master's and doctorate in Computer Science were done at the Federal University of Rio Grande do Sul (conclusions in 2005 and 2009, respectively). In particular, the doctorate was done in sandwich mode at Tecnische Universitaet Berlin, Germany. Still in the academic training area, Rodrigo has a degree in Computer Science from the Federal University of Santa Maria (concluded in 2003). Rodrigo has experience in the field of Computer Science, more particularly in the subareas that involve parallel and distributed computing. He works on the following topics: performance evaluation, migration and scheduling of processes, load balancing and adaptation of communication in distributed environments (Cluster, Grid, Fog and Cloud), computing in the area of ??health and Internet of Things. Prof. Rodrigo was also part of the Advisory Committee of FAPERGS in the area of ??Computing, with management in the period from 2017 to 2019. Still, prof. Rodrigo has experience in coordination and as a member of national and international research projects, involving companies such as Siemens, HT Micron Semiconductors and DELL Computers. He also coordinates projects to support scientific events supported by CAPES, CNPq and FAPERGS. Prof. Rodrigo is a reviewer of internationally renowned journals in the field such as IEEE Cloud Computing, Future Generation Computer Systems, IEEE Communications Magazine and ACM Transactions on Cyber-Physical Systems, as well as a permanent member of the Program Committee of national conferences such as SBCUP, ERAD, ERRC and WSCAD -SCC. Finally, Rodrigo is a member of the following institutions: IEEE (senior member), ACM (senior member), ACM (senior member), IADIS, INSTICC and SBC (Brazilian Computer Society). Rodrigo maintains a website with publications and disciplines that he teaches at the undergraduate and graduate levels (broad and strict sense): http://professor.unisinos.br/rrrighi.
Sandro José RigoDoutor em Computação firstname.lastname@example.org
Professor and Researcher at UNISINOS, since 1995 Postdoctorate in Machine Learning at Friedrich-Alexander Universitat, Erlangen/Germany PhD in Computer Science at Universidade Federal do Rio Grande do Sul Innovation consultant (FINEP/Brazil) Fellow in Productivity in Technological Development and Innovative Extension (DT-2) (CNPq) Research areas: Artificial Intelligence, Natural Language Processing, Biomedical Engineering, Semantic Web.