Faculty of Engineering

Z7_NQ5E12C0LOF160QDKRNCOGGJA1

Research group

Spanish

Intelligent Information Systems Lab In2Lab

Academic Unit: Faculty of Engineering

Colombian Ministry of Science

A

Call

894 GrupLAC

OECD

Area

Engineering and technology

Subarea

Other engineering and technologies

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Strategic Focus

The aim of the Intelligent Information Systems Lab group (UdeA) is to contribute to technological development both regionally and nationwide in Colombia by generating knowledge and developing basic and applied research projects on information technology. We specialize in the development of information systems that incorporate cognitive components based on artificial intelligence techniques with the intention of generating high added-value innovative solutions that have a positive impact on the international academic community, on the work of other research groups, and on national companies.

Research Lines and/or Areas

Data Management and Modeling (mathematical models and simulation, computational intelligence-based prediction, machine learning and data mining, parallel and distributed algorithms).
Software Engineering Methods and Techniques (model-directed development; adaptive and personalized software).

Sustainable Development Goals (SDGs)

Group Coordinator

John Fredy Duitama, PhD.

PhD in Computing

Institut National Des Télécommunication

Coordinator's Email

freddy.duitama@udea.edu.co

Scientific Cooperation

Collaborative Relationships

Universidad Nacional de Colombia.
Universidad Tecnológica Pereira.
Universidad del Rosario.
Universidad de Medellin.
Universidad EAFIT.
ARTICA center of excellence: Regional Alliance on Applied Information and Communication Technologies.

E.G.M. Ingeniería Sin Fronteras S.A.S.
Humax Pharmaceutical S.A.
Bialtec S.A.S.
Université de Paris I.
Universidad Politécnica de Madrid.
Universidad Politécnica de Cataluña.

Highlighted Projects

Automatic detection of fraud in virtual transactions with debit and credit cards.
Technological prospection analysis on mHealth, video game apps, and big data.
Construction of an Interoperability Model for information products and services in health II.
Computational Tool for Predicting Dissolution Profiles and Oral Solid Medication Formulations in the Optimization of the Pharmaceutical Development Process.
Technological platform for medical emergencies, telemedicine, and permanent monitoring for patients; also, support for promotion and prevention programs.

Key Research Findings

Multimodal and Multi-output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale. DOI: https://bit.ly/2z4i7Ao
Reference Software Architecture for Improving Modifiability of Personalised Web Applications – A Controlled Experiment. DOI: https://bit.ly/30bpEZe
Weaving of Metaheuristics with Cooperative Parallelism. DOI: https://bit.ly/2MvJJS3
Common Disbalance in the Brain Parenchyma of Dementias: Phospholipid Profile Analysis Between CADASIL and Sporadic Alzheimer's Disease. DOI: https://bit.ly/3eN5Sr2

Services and/or Products Portfolio

The group is highly experienced in data analysis techniques and is equipped with the appropriate infrastructure for processing high volumes of information. It offers consulting and development services for projects requiring the use of technologies related to Big Data ecosystems, such as Hadoop, Spark, Hive, HBase, etc., as well as those related to data analysis, Machine Learning, and Deep Learning, such as TensorFlow, PyTorch, SparkML, sklearn or technologies related to data visualization and BI. The group is qualified for supporting and developing solutions based on the technologies mentioned and also for addressing basic problems that require redesign and development of new ML algorithms and/or models for processing information according to the project requirements.