i) Research Services:
The laboratory provides a variety of research services, such as:

• Digital transformation in enterprises: Implementing artificial intelligence and machine learning
• Internet of Things (IoT) in industrial environments: Developing smart factories
• Blockchain applications in supply chain management: Enhancing transparency and efficiency
• Green technologies and sustainability: Integrating eco-friendly practices into business models
• The role of social media in business: Strategy and online reputation management

ii) List of Projects Implemented in the Laboratory:

1. Creating Virtual Reality e-resources for European Sustainable Education in Circular Bioeconomy with Bio-based Products
   • Contract No: 2019-1-RO01-KA203-063773
   • Value: €61,074
   • Partners: Romania, Spain, Belgium
2. Boosting Sustainable Digital Education for European Universities (BoostEdU)
   • Contract No: 2022-1-ES01-KA220-HED-000089861
   • Value: €63,260
   • Partners: Romania, Czech Republic, Norway, Iceland
3. Fostering the Transversal Digital Competences in Higher Education
   • Contract No: 2020-1-CZ01-KA226-HE-094408
   • Value: €48,500
   • Partners: Spain, Romania, Belgium, Slovenia, Lithuania
4. Gender, Digitalization, Green: Ensuring a Sustainable Future for All in Europe
   • Contract No: 2023-1-RO01-KA220-HED-000154433
   • Value: €52,000
   • Partners: Romania, Ukraine, Spain, Portugal

Research Services Offered and Completed Projects:

1. Modeling and Simulation of Multi-Agent Systems (MAS):
   • Model Development: Creating models for complex systems involving interactions among multiple autonomous agents.
   • Simulation: Simulating the behavior of MAS to understand the dynamics and optimize the performance of automatic process control and service systems.
2. Distributed Control Systems:
   • Research and Development: Developing control systems that enable distributed coordination and control of multiple production units.
   • Algorithm Implementation: Implementing algorithms for efficient resource management and operations optimization.
3. Internet of Things (IoT) Technologies:
   • Sensor Integration: Integrating IoT sensors and devices into manufacturing processes for real-time data collection.
   • Data Analysis: Analyzing and interpreting collected data to improve processes and predict failures.
   • System Development: Developing and testing systems that integrate physical and computational processes.
   • Real-Time Monitoring: Implementing solutions for real-time monitoring and control of manufacturing and logistics processes.
   • Product-Driven Automation: Developing and implementing concepts of intelligent products and product-driven automation.
4. Robotics and Automation:
   • Robotic Systems: Developing and testing robotic systems for intelligent automation of repetitive and hazardous tasks.
   • Integration: Integrating robots into production lines and optimizing human-robot interaction.
   • Quality Control: Implementing quality control systems based on artificial vision technologies.
   • Cyber-Physical Systems: Developing techniques and solutions for the design, planning, and control of robots integrated into cyber-physical manufacturing and service systems, focusing on energy reduction.
5. Optimization of Manufacturing Processes:
   • Process Analysis: Analyzing and optimizing production flows using artificial intelligence and machine learning algorithms.
   • Automation Solutions: Implementing automation solutions to improve efficiency and reduce costs.
   • Advanced Planning: Researching advanced planning and scheduling methods to improve efficiency and reduce downtime.
   • Custom Software Development: Developing custom software solutions for production management.

Research Services Offered:

• Data Collection Support:
  • Assistance in collecting data from multiple data sources.
• Data Preprocessing Support:
  • Data cleaning
  • Data integration
  • Data transformation
  • Data reduction
  • Data discretization
• Data Mining Services:
  • Frequent itemset mining in transaction datasets
  • Regression analysis
  • Classification (decision trees, rule-based classifiers, Bayesian classifiers, support vector machines, kNN, ensemble methods like Bagging, Boosting, Random Forest)
  • Semi-supervised learning (using both labeled and unlabeled data for training)
  • Clustering (centroid-based, distribution-based, density-based, hierarchical, fuzzy)
  • Web mining applications (content, structure, usage mining)
• Data Storage and Utilization Applications:
  • Support in structuring data warehouses and using them effectively.
  • Development of applications using Oracle and Microsoft data storage and processing technologies.
  • Design and application support for NoSQL systems: MongoDB, Cassandra, RIAK, and platforms like Hadoop, Spark, HBase.

Completed and Ongoing Research Projects:

International Collaborations:

1. COST Action CA19102: Language In The Human-Machine Era (LITHME)
2. COST Action CA19130: Fintech and Artificial Intelligence in Finance – Towards a Transparent Financial Industry (FinAI)
3. COST Action CA18131: Statistical and Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome)
4. COST Action CA18209: European Network for Web-centred Linguistic Data Science (NexusLinguarum)
5. COST Action CA18231: Multi-task, Multilingual, Multi-modal Language Generation (Multi3Gen)
6. COST Action CA17137: A Network for Gravitational Waves, Geophysics, and Machine Learning (G2Net)
7. COST Action IC1406: High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)
8. NETIO Project: Research, Innovation, and Development Ecosystem for ICT Products and Services in a Society Connected to the Internet of Things, POC Project, Contract No. 53/05.09.2016
9. ERRIC Project: Empowering Romanian Research on Intelligent Information Technologies, FP7-REGPOT-2010-1/264207
10. Erasmus-Mundus Master Programme: Data Mining & Knowledge Management, Contract No. 159648-EM-1-2009-1-FR-ERA MUNDUS-EMMC, 2009-2014

Research Services Offered:

• Embedded Systems Design: Development of customized embedded hardware and software solutions tailored to specific needs.
• IoT System Design: Creation of IoT applications, including integration with Cloud platforms for data management and analysis.
• Hardware Design for Embedded Systems: Expertise in designing hardware components for embedded systems that are robust and optimized for performance.
• Software Development for Embedded Systems: Providing comprehensive software solutions, including firmware development for embedded platforms.
• IoT Device Security Analysis: Conducting in-depth security assessments to ensure the safety and resilience of IoT devices against cyber threats.

Completed Research Projects:

1. Air Quality Monitoring System in the ED Building of the Faculty of Automatic Control and Computers. For more details, visit Digital Twin UPB.
2. Emergency Detection System using Artificial Intelligence within smart buildings. Project ARUT No. 26/09.10.2023, ID CRESCDI 220235417.
3. Environmental Parameter Monitoring System for an intelligent system designed to automatically evaluate and interpret concealed behavior for personnel in critical infrastructures – VISINT, CDI 122226.
4. Cyber Attack Detection System for IoT devices utilizing artificial intelligence algorithms.

The AISENSE Laboratory offers a range of research, innovation and engineering services and welcomes new partnerships with private or public sector organisations in the following domains:

• Industrial data management of measurement and engineering data through data quality assessment, domain-specific pre-processing and feature extraction;
• Data pipeline development and data-driven modelling of industry and energy processes using novel machine learning algorithms and time series methods;
• Design, testing and evaluation of distributed sensor systems with low-power mesh protocols for scalable data collection;
• Interoperable and open technologies for cost-effective and productive automation;
• Pre-auditing of ICS cybersecurity solutions integrating SoA methods, algorithms and tools for risk management and regulatory compliance;
• Personnel training for cyber-awareness, cyber-hygiene and basic cyber training of essential operators of complex, networked, automation solutions in accordance to international best practices (NIST, CISA, ENISA).

Members of the laboratory coordinate and participate in multiple research projects with local (UNSTPB), national (UEFISCDI) and international (Horizon Europe, Digital Europe, Horizon Cascade Funding) through a network of collaborations with complementary research groups and innovative companies.

Research Services Offered:

• Educational Activities:
  • All teaching activities related to the Master’s program in Artificial Intelligence.
• Research Activities:
  • Research conducted by master’s students under the supervision of faculty members from the AIMAS laboratory.
  • Project meetings for initiatives involving AIMAS laboratory members.
  • Discussion groups on various research topics, such as the “Understanding Cancer using Machine Learning” group.

Completed Projects:

• • DIGITAL TWINS FOR COMPLEX INFRASTRUCTURES AND URBAN ECOSYSTEMS – DIGITWIN4CIUE:
    • Duration: 2022-2025
    • Grant: DIGITAL-2021-SKILLS-01
    • A significant project focusing on the development of digital twins for complex infrastructures and urban ecosystems.

Natural Language Processing Services
Our team specializes in developing custom Natural Language Processing (NLP) models tailored to meet specific research and industry requirements. Leveraging state-of-the-art machine learning techniques and extensive linguistic expertise, these models are designed to perform a wide variety of tasks, including summary scoring, comprehension modeling, fake news classification, or involvement in online communities. These services not only support the enhancement of textual analysis capabilities but also enable the adaptation of models to unique datasets and complex linguistic phenomena.

Digital Humanities
K-Teams provides specialized services and analyses for digital humanities, integrating NLP tools with humanities research to uncover deeper insights in cultural studies, literature, and historical texts. By applying cleaning and pre-processing, advanced text mining, as well as analysis techniques, such as stylometry reflected in linguistic features, the team aids scholars in exploring new dimensions of humanistic studies. This service empowers researchers to conduct
extensive textual analysis at scale, facilitating a richer understanding of language, culture, and historical contexts in digital formats.

AI music analysis and generation
Research in AI music composition, analysis, and aesthetics evaluation. The polyphonic model also provides sonification of conversations.

ReaderBench
ReaderBench (https://readerbench.com) is a multi-purpose, multi-lingual, open-source platform available online that exposes a unified vision for predicting and assessing comprehension in both individual and collaborative learning scenarios. ReaderBench tackles multiple core and specific NLP tasks, including text analysis and document classification, question generation, and collaboration evaluation in Computer Supported Collaborative Learning (CSCL) conversations. ReaderBench aims to improve the quality and the classification of the analyzed documents by combining an expanded range of linguistic features and contextualized representations using Transformer-based language models.

Research Projects (8+ Million Euro managed funds): PTI OPTIMIZE, POC Cloud Precis, PN3 Odin112, TE ATES, PTE Yggdrasil, PC ROBIN, PC INTELLIT, PC Lib2Life, POD G NETIO (subsidiary contracts PIAM & Semantic), PN III PTE Text2NeuralQL, H2020 RAGE, ERASMUS+ ENeA-SEA