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Group

Computational Intelligence and Applications Research Group (CIA)

Unit(s) of assessment: Computer Science and Informatics

School: School of Science and Technology

Welcome to CIA

Computational Intelligence and Applications (CIA) Research Group at ŷ is conducting research on computationally intelligent methods and techniques for real-world applications targeting enhanced living and society.

The CIA Research Group has expertise in the analysis and use of methods from the field of artificial intelligence, such as artificial neural networks, evolutionary algorithms and data analysis to solve real-world problems from science and engineering. The research group has also expertise in smart environments, ambient assistive technologies, pervasive computing, intelligent modelling, control and robotics.

The Research Group has access to research facilities, including high-performance computing, a variety of sensors, actuators and communication devices, different assistive robotic platforms and a smart home facility.

Our areas of focus

  • Artificial Intelligence (AI) Applications
  • Machine Learning (ML) Tools and Techniques
  • Deep Learning and Transfer Learning
  • Generative Adversarial Networks (GAN)
  • Smart Environments and Ambient Intelligence (AmI)
  • Independent Living
  • Assistive Robotics
  • Abnormality Detection
  • Quantum Computing
  • Sustainable Computing
  • Internet-of-Everything-Everywhere (IoE2)

The research group seeks to address the challenges which require computationally intelligent methods and techniques for real-world applications that can make a difference in lives and society, including:

  • Support independent living of older adults by means of equipping homes with sensor networks to monitor system user behaviour.
  • Provide assistive solutions to patients suffering from mild cognitive impairment.
  • Assistive robotics application to help with independent living.
  • Providing technological solutions that promote a sustainable environment, in accordance with UK and UN strategies and targets concerning issues such as net-zero emissions and sustainable production in industry, agriculture and forestry.
  • Digital Ecosystems

We are looking to generate research income through EPSRC, InnovateUK, NIHR, EU Horizon and other industrial partners.

Core services we offer include:

  • Consultancy services to help businesses and organisations implement artificial intelligence technologies, develop strategies, and identify opportunities.
  • Analyse large amounts of data and develop models to extract insights from that data. Our expertise is mainly in analysing the data related to healthcare.
  • Develop and train machine learning and deep learning models to be used for a variety of applications, including image recognition, natural language processing (NLP), and speech recognition.
  • Develop and implement robotics and automation technologies. Considering the diversity in the application of robotics, our expertise is the area of assistive robotics.
  • Develop computer vision technologies, including object recognition, facial recognition, and image analysis.
  • Help businesses and organisations navigate the ethical and governance challenges associated with AI technologies.

Specialist technologies

SmartNTU (Smart Home)

A typical home instrumented with a range of sensors; detecting everything from the opening of a cupboard to getting up from bed. Data is logged continuously so that it can be processed and evaluated. All sensor data are stored in a dedicated server which can be accessed remotely. Experiments can be conducted over a period of hours or even days, as this is a fully functional home.

Hydra Cluster

The Hydra High Performance Computing (HPC) facility is made out of 320 Field Programmable Gate Array’s (FPGA’s) and networked control computers.  The facility is a reconfigurable HPC system which can be used for numerous highly parallelised applications.

Assistive Robots

A robot arena with state-of-the-art assistive robotic platforms (e.g. iit iCub, SoftBank Pepper, SoftBank NAO, Temi, Rethink Baxter, Rethink Sawyer, Double 3) with specialist computing labs including networking, security, games, data science and high-performance computing.

Robots

In addition to the assistive robots, the group has access to the following robot platforms as well:

  • FIFISH V6 VR Underwater Rov Robot
  • Universal Robot UR5
  • Unitree Go1

Selected Partners and Collaborators

The number of partners addresses NTU’s research strategy by focusing research and is external facing, with the potential to provide high quality outputs. The PhD experience is significantly enhanced by providing real world, high impact research projects to potential students.

  • Tokyo Metropolitan University, Japan
  • University of Coimbra, Portugal
  • Institute of Systems and Robotics, Portugal
  • Instituto Pedro Nunes, Portugal
  • ŷshire Wildlife Trust
  • Environment Agency
  • Trent Rivers Trust
  • NTU Smart Wireless Innovation Facility (SWIFt)

Group projects

Intelligent Care Guidance and Learning Services Platform for Informal Carers of the Elderly (iCarer)

The iCarer project developed a personalised and adaptive platform to offer informal carers support by means of monitoring activities of daily care, as well as their psychological state, and providing an orientation to help them improve the care provided. Monitored information will be registered by means of home-installed and personal sensors, which will be as inconspicuous as possible for the house inhabitants.

Energy Efficiency in Social Housing

ŷ City Homes (NCH), in partnership with ŷ (NTU) has conducted this research to better understand energy usage in social housing. The project aims to monitor energy usage of a sample of current NCH housing stocks.

Underwater Plastic Detection

Plastics thrown away by humans are normally transported to the oceans by rivers. It is not clear how much plastic is transported every year from land to sea because of a lack of metrics and standard monitorisation techniques.

Digital Displays of Nature to Improve Mental Health

Use of biophilic design and smart environments to recognise the human instinct to connect with nature and the mental health benefits this can bring, such as reducing stress, anxiety and depression, and improving cognitive function.

Quantum Intelligence Research

We recognise the great potential of the massive parallelism provided by Quantum Computing in the near future. The research on Quantum Intelligence in CIA focuses on exploring the new advancements of AI-Quantum hybrid methods that can lead to novel real-world intelligent systems in (but not limited to) smart living, cryptography, finance, and chemical structure design. The research has also extended to quantum-inspired algorithms where High-Power Computers (e.g., our Hydra Cluster facilities or cloud-based resources) are being used as simulation platforms for quantum intelligence.

CIFAKE - Classification and Explainable Identification of AI-Generated Synthetic Images

AI-generated images have rapidly improved recently, and the ability to detect them is becoming a critical necessity to ensure the authenticity and trustworthiness of image data. AI models have even beaten humans in art competitions!

Signature Verification

Machine learning is often employed to detect real and forged signatures. However, robotic arms and generative models can overcome these systems and mount false-acceptance attacks. Our research results show that there are exclusive behaviours to human and robotic forgers, suggesting that a system trained wholly on human forgeries can be easily attacked by robots to gain false-positive verification. The results after fine-tuning are effective, showing that such attacks can be prevented now, rather than after the first consumer robot-based forgery crime has been committed.

Fall Detection and Privacy-preserving Human Behaviour Monitoring Through Thermal Vision

Thermal Sensor Array (TSA)  in combination with appropriate Computational Intelligence techniques, can be used as an approach for a low-cost, non-contact, and privacy-preserving human behaviour monitoring.

Group research output

Peer Reviewed Journal Publications (within last 5 years)

  • BIRD, J.J., NASER, A. and LOTFI, A., 2023.  Information Sciences, 633, pp. 170-181.
  • MACHADO, P., FERREIRA, J.F., OIKONOMOU, A. and MCGINNITY, T.M., 2023.  ACM Transactions on Reconfigurable Technology and Systems.
  • MAGALHÃES, S.C., SANTOS, F.N., MACHADO, P., MOREIRA, A.P. and DIAS, J., 2023. Engineering Applications of Artificial Intelligence, 117 (Part A): 105604.
  • PANDYA, B., POURABDOLLAH, A. and LOTFI, A., 2022.  ŷ Journal of Fuzzy Systems.
  • FABIETTI, M., MAHMUD, M., LOTFI, A. and KAISER, M.S., 2022.  Brain Informatics, 9: 19.
  • NASER, A., LOTFI, A., MWANJE, M.D. and ZHONG, J., 2022.  IEEE Transactions on Human-Machine Systems.
  • ZHONG, J., LI, J., LOTFI, A., LIANG, P. and YANG, C., 2022.  Robotics and Autonomous Systems, 155: 104181. ISSN 0921-8890
  • AFZALOV, A., LOTFI, A., INDEN, B. and AYDIN, M.E., 2022.  SN Computer Science, 3 (6): 435. ISSN 2661-8907
  • NASER, A., LOTFI, A. and ZHONG, J., 2022.  IEEE Sensors Letters. ISSN 2475-1472
  • NASER, A., LOTFI, A. and ZHONG, J., 2022.  IEEE Internet of Things Journal. ISSN 2327-4662
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2022.  Brain Informatics, 9: 1 (2022). ISSN 2198-4018
  • ALMAHADIN, G., LOTFI, A., CARTHY, M.M. and BREEDON, P., 2021.  SN Computer Science, 3 (1): 63. ISSN 2661-8907
  • MACHADO, P., OIKONOMOU, A., FERREIRA, J.F. and MCGINNITY, T.M., 2021.  IEEE Access.
  •  
  • ADAMA, D.A., LOTFI, A. and RANSON, R., 2021.  Electronics, 10 (19): 2412. ISSN 2079-9292
  • ALMAHADIN, G., LOTFI, A., MCCARTHY, M. and BREEDON, P., 2021.  Journal of Healthcare Engineering, 2021: 9624386. ISSN 2040-2295
  • FABIETTI, M., MAHMUD, M., LOTFI, A., KAISER, M.S., AVERNA, A., GUGGENMOS, D.J., NUDO, R.J., CHIAPPALONE, M. and CHEN, J., 2021.  Brain Informatics, 8: 14. ISSN 2198-4018
  • NASER, A., LOTFI, A. and ZHONG, J., 2021.  Neural Computing and Applications. ISSN 0941-0643
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021.  Pattern Recognition Letters, 145, pp. 200-207. ISSN 0167-8655
  • ZHONG, J., LING, C., CANGELOSI, A., LOTFI, A. and LIU, X., 2021.  Electronics, 10 (7): 793. ISSN 2079-9292
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021.  SN Computer Science, 2 (1): 14. ISSN 2661-8907
  • ROBINSON, J., LEE, K. and APPIAH, K., 2020. Lantern: a domain specific language for energy awareness in smart-homes. Journal of Ambient Intelligence and Smart Environments, 12 (6), pp. 531-546. ISSN 1876-1364
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2020.  Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
  • PANDYA, B., POURABDOLLAH, A. and LOTFI, A., 2020.  Technologies, 8 (4): 74. ISSN 2227-7080
  • ALMAHADIN, G., LOTFI, A., ZYSK, E., SIENA, F.L., CARTHY, M.M. and BREEDON, P., 2020.  BMC Neurology, 20 (1): 419.
  • ORTEGA ANDEREZ, D., LOTFI, A. and POURABDOLLAH, A., 2020.  Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
  • LOTFI, A., POURABDOLLAH, A. and FARIA, D.R., 2020.  Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
  • ALZUBAIDI, A., TEPPER, J. and LOTFI, A., 2020.  HealthManagement.org - The Journal, 20 (6), pp. 462-464. ISSN 1377-7629
  • NASER, A., LOTFI, A. and ZHONG, J., 2020.  IEEE Sensors Journal. ISSN 1530-437X
  • ADAMA, D.A., LOTFI, A. and RANSON, R., 2020.  Expert Systems with Applications: 113836. ISSN 0957-4174
  • MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020.  Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
  • ALZUBAIDI, A., TEPPER, J. and LOTFI, A., 2020.  Artificial Intelligence in Medicine, 104: 101821. ISSN 0933-3657
  • MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020.  .
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2020.  Entropy, 22 (8): 845.
  • YU, Z., MACHADO, P., ZAHID, A., ABDULGHANI, A.M., DASHTIPOUR, K., HEIDARI, H., IMRAN, M.A. and ABBASI, Q.H., 2020. Electronics, 9 (11): 1812. ISSN 2079-9292
  • ALRAWAHI, A., LEE, K. and LOTFI, A., 2019.  IEEE Internet of Things Journal. ISSN 2327-4662
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019.  Applied Soft Computing, 83: 105613. ISSN 1568-4946
  • ALRAWAHI, A.S., LEE, K. and LOTFI, A., 2019.  IEEE Internet of Things Journal. ISSN 2327-4662
  • ORTEGA ANDEREZ, D., LOTFI, A. and POURABDOLLAH, A., 2019.  Expert Systems with Applications. ISSN 0957-4174
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2019.  Entropy, 21 (4): 416. ISSN 1099-4300
  • ELBAYOUDI, A., LOTFI, A. and LANGENSIEPEN, C., 2019.  Expert Systems with Applications, 118, pp. 493-505. ISSN 0957-4174
  • CANT, R., REMI-OMOSOWON, A., LANGENSIEPEN, C. and LOTFI, A., 2018.  Entropy, 20 (11): 866. ISSN 1099-4300
  • ADAMA, D.A., LOTFI, A., LANGENSIEPEN, C., LEE, K. and TRINDADE, P., 2018.  Soft Computing: a Fusion of Foundations, Methodologies and Applications, 22 (21), pp. 7027-7039. ISSN 1432-7643
  • ORTEGA-ANDEREZ, D., LOTFI, A., LANGENSIEPEN, C. and APPIAH, K., 2018.  Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
  • LOTFI, A., LANGENSIEPEN, C. and YAHAYA, S.W., 2018.  Technologies, 6 (1): 32. ISSN 2227-7080
  • MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2018.  Technologies, 6 (4): 110. ISSN 2227-7080
  • LOTFI, A., ALBAWENDI, S., POWELL, H., APPIAH, K. and LANGENSIEPEN, C., 2018.  IEEE Access, 6, pp. 70272-70282. ISSN 2169-3536
  • COSTALAGO-MERUELO, A., MACHADO, P., APPIAH, K., MUJIKA, A., LESKOVSKY, P., ALVAREZ, R., EPELDE, G. and MCGINNITY, T.M., 2018. Neurocomputing. ISSN 0925-2312
  • Cheheb, I.; Al-Maadeed, N.; Bouridane, A.; Beghdadi, A.; Jiang, R. Multi-Descriptor Random Sampling for Patch-Based Face Recognition. Appl. Sci. 2021, 11, 6303.

Conferences (within last 5 years)

  • ANDRADA, M.E., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2022. Integration of an artificial perception system for identification of live flammable material in forestry robotics. In: Proceedings of the 2022 IEEE/SICE ŷ Symposium on System Integration (SII). Institute of Electrical and Electronics Engineers (IEEE), pp. 103-108. ISBN 9781665445399
  • MACHADO, P., BONNELL, J., BRANDENBURGH, S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M., 2021. Robotics use case scenarios. In: M. JAHRE, D. GÖHRINGER and P. MILLET, eds., Towards ubiquitous low-power image processing platforms. Cham, Switzerland: Springer, pp. 151-172. ISBN 9783030535315 (Forthcoming)
  • PORTUGAL, D., FERREIRA, J.F. and COUCEIRO, M.S., 2020. Requirements specification and integration architecture for perception in a cooperative team of forestry robots. In: M. RUSSO, X. DONG and A. MOHAMMAD, eds., Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, ŷ, UK, September 16, 2020, Proceedings. Lecture notes in computer science (12228). Cham: Springer, pp. 329-344. ISBN 9783030634858
  • MARTINS, G.S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2019. MoDSeM: towards semantic mapping with distributed robots. In: K. ALTHOEFER, J. KONSTANTINOVA and K. ZHANG, eds., Towards autonomous robotic systems. Proceedings of the 20th Annual Conference, TAROS 2019, London, 3-5 July 2019. Part II. Lecture notes in computer science (11650). Cham: Springer, pp. 131-142. ISBN 9783030253318
  • BITTNER, D., FERREIRA, J.F., ANDRADA, M.E., BIRD, J.J. and PORTUGAL, D., 2022.  In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.
  • ANDRADA, M.E., FERREIRA, J.F., KANTOR, G., PORTUGAL, D. and ANTUNES, C.H., 2022.  In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.
  • NUNES, R., FERREIRA, J. and PEIXOTO, P., 2022.  In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.
  • LOURENÇO, D., DE CASTRO CARDOSO FERREIRA, J. and PORTUGAL, D., 2020.  In: IROS 2020 Workshop on Perception, Planning and Mobility in Forestry Robotics (WPPMFR 2020), Las Vegas, NV, USA (virtual workshop), 29 October 2020.
  • ANDRADA, M.E., DE CASTRO CARDOSO FERREIRA, J., PORTUGAL, D. and COUCEIRO, M., 2020.  In: IROS 2020 Workshop on Perception, Planning and Mobility in Forestry Robotics (WPPMFR 2020), Las Vegas, NV, USA (virtual workshop), 29 October 2020.
  • BRANDENBURG, S., MACHADO, P., SHINDE, P., FERREIRA, J.F. and MCGINNITY, T.M., 2019.  In: ROBOT 2019: Fourth Iberian Robotics Conference, Porto, Portugal, 20-22 November 2019.
  • MARTINS, S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2019.  In: 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 2019.
  • BIRD, J.J., Saputra, A.A, Kubota, N., Lotfi, A., 2022.  13th ŷ Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) 12-14 December 2022, Phuket, Thailand. pp. 84-88.
  • NASER, A., LOTFI, A. and ZHONG, J., 2022.  In: PETRA '22: Proceedings of the 15th ŷ Conference on PErvasive Technologies Related to Assistive Environments. New York, NY: Association for Computing Machinery (ACM).
  • PANDYA, B., SHAH, D., POURABDOLLAH, A. and LOTFI, A., 2022.  In: Proceedings of the 15th ŷ Conference on PErvasive Technologies Related to Assistive Environments 29 June – 01 July 2022, Corfu Island, Greece. New York: ACM, pp. 407-413.
  • BIRD, J.J., 2022.  In: Proceedings of the 15th ŷ Conference on PErvasive Technologies Related to Assistive Environments 29 June – 01 July 2022, Corfu Island, Greece. New York: ACM, pp. 376-382.
  • MOHMED, G., GRUNDY, S., LOTFI, A. and LU, C., 2022.  In: T. JANSEN, R. JENSEN, N. MACPARTHALÁIN and C.M. LIN, eds., Advances in computational intelligence systems. Contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in intelligent systems and computing (1409). Cham: Springer, pp. 277-287.
  • FABIETTI, M., MAHMUD, M., LOTFI, A., LEPARULO, A., FONTANA, R., VASSANELLI, S. and FASSOLATO, C., 2022.  In: M. MAHMUD, J. HE, S. VASSANELLI, A. VAN ZUNDERT and N. ZHONG, eds., Brain informatics. Proceedings of the 15th ŷ Conference, BI 2022, Padua, Italy, July 15–17 2022. Lecture notes in computer science (13406). Cham: Springer ŷ Publishing, pp. 27-39.
  • FABIETTI, M.I., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2022.  In: T. JANSEN, R. JENSEN, N.M. PARTHALÁIN and C.-M. LIN, eds., Advances in computational intelligence systems: contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Cham: Springer, pp. 288-299.
  • PANDYA, B., POURABDOLLAH, A., LOTFI, A. and ACAMPORA, G., 2022.  In: Proceedings of the IEEE ŷ Conference on Fuzzy Systems (FUZZ-IEEE 2022). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 1-9.
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021.  In: 2021 ŷ Joint Conference on Neural Networks (IJCNN) proceedings. IEEE.
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021.  In: M. MAHMUD, M. SHAMIM KAISER, N. KASABOV, K. IFTEKHARUDDIN and N. ZHONG, eds., Applied Intelligence and Informatics: first international conference, AII 2021, ŷ, UK, July 30–31, 2021, Proceedings. Communications in Computer and Information Science (1435). Cham: Springer ŷ Publishing, pp. 79-91.
  • PANDYA, B., POURABDOLLAH, A. and LOTFI, A., 2021.  In: The 14th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments PETRA 2021. Conference proceedings. New York: Association for Computing Machinery (ACM), pp. 69-75.
  • NASER, A., LOTFI, A. and ZHONG, J., 2021.  In: The 14th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments PETRA 2021. Conference proceedings. Association for Computing Machinery (ACM), pp. 81-85.
  • FABIETTI, M., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2021.  In: 10th ŷ IEEE/EMBS Conference on Neural Engineering (NER), 2021. IEEE, pp. 166-169.
  • ADAMA, D.A., OLATUNJI, T.Y., YAHAYA, S.W. and LOTFI, A., 2021.  In: T. JANSEN, R. JENSEN, N. MAC PARTHALÁIN and C.-M. LIN, eds., Advances in computational intelligence systems: contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in intelligent systems and computing book series (1409). Cham: Springer, pp. 300-311.
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021.  In: M. MAHMUD, M. SHAMIM KAISER, S. VASSANELLI, Q. DAI and N. ZHONG, eds., Brain Informatics: 14th ŷ Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings. Lecture notes in computer science (12960). Cham: Springer ŷ Publishing, pp. 351-365.
  • AFZALOV, A., HE, J., LOTFI, A. and AYDIN, M.E., 2021.  In: G. JEZIC, J. CHEN-BURGER, M. KUSEK, R. SPERKA, R.J. HOWLETT and L.C. JAIN, eds., Agents and Multi-Agent Systems: Technologies and Applications 2021. Proceedings of 15th KES ŷ Conference, KES-AMSTA 2021, June 2021. Singapore: Springer, pp. 451-463.
  • AFZALOV, A., LOTFI, A., INDEN, B. and AYDIN, M., 2021.  In: A. PAULA ROCHA, L. STEELS and J. VAN DEN HERIK, eds., Proceedings of the 13th ŷ Conference on Agents and Artificial Intelligence - Volume 2. Setúbal: SCITEPRESS - Science and Technology Publications, pp. 437-443.
  • ALMAHADIN, G., LOTFI, A., MCCARTHY, M. and BREEDON, P., 2021.  In: M. BRAMER and R. ELLIS, eds., Artificial Intelligence XXXVIII: 41st SGAI ŷ Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14–16, 2021, Proceedings. Cham: Springer, pp. 364-370.
  • YAHAYA, S.W., LOTFI, A., MAHMUD, M. and ADAMA, D.A., 2021.  In: 2021 IEEE ŷ Conference on Systems, Man, and Cybernetics (SMC) [proceedings]. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 2439-2443.
  • FABIETTI, M., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2020.  In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 1607-1613.
  • POURABDOLLAH, A. and LOTFI, A., 2020.  In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 521-526.
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2020.  In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 534-541.
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020.  In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th ŷ Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer ŷ Publishing, pp. 183-193.
  • FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020.  In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th ŷ Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer ŷ Publishing, pp. 151-162.
  • ZHONG, J. and LOTFI, A., 2020.  In: 2020 ŷ Symposium on Community-centric Systems (CcS). Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE).
  • FABIETTI, M., MAHMUD, M., LOTFI, A., AVARUA, A., GUGGANMOS, D., XUDO, R. and CHIAPPALONE, M., 2020.  In: 2020 ŷ Joint Conference on Neural Networks (IJCNN). 2020 conference proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728169262
  • MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020.  In: PETRA '20: Proceedings of the 13th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-7.
  • PANDYA, B., POURABDOLLAH, A. and LOTFI, A., 2020.  In: PETRA '20: Proceedings of the 13th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-7.
  • NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020.  In: PETRA '20: Proceedings of the 13th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-6.
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2020.  In: PETRA '20: Proceedings of the 13th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-8.
  • YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2020.  In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), pp. 1415-1421.
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2020.  In: 2020 IEEE ŷ Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE.
  • PANDYA, B., POURABDOLLAH, A. and LOTFI, A., 2020.  In: 2020 IEEE ŷ Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE.
  • NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020.  In: 2020 IEEE ŷ Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE.
  • ANDEREZ, D.O., DOS SANTOS, L.P., LOTFI, A. and YAHAYA, S.W., 2019.  In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE), pp. 1402-1406. ISBN 9781728124858
  • ZHONG, J., HAN, T., LOTFI, A., CANGELOSI, A. and LIU, X., 2019.  In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE), pp. 1445-1452.
  • YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2019. Gesture recognition intermediary robot for abnormality detection in human activities. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728124858
  • MOHMED, G., ADAMA, D.A. and LOTFI, A., 2019.  In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems. UKCI 2019. Advances in intelligent systems and computing (1043). Cham: Springer, pp. 15-26.
  • ADAMA, D.A., LOTFI, A., RANSON, R. and TRINDADE, P., 2019.  In: Proceedings of the 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 24 January 2019. London: UK-RAS Network, pp. 60-63.
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019.  In: Proceedings of the 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 24 January 2019. London: UK-RAS Network, pp. 131-134.
  • HOWEDI, A., LOTFI, A. and POURABDOLLAH, A., 2019.  In: Proceedings of the 12th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 568-574.
  • ADAMA, D.A., LOTFI, A. and RANSON, R., 2019.  In: Proceedings of the 12th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 593-598.
  • ADAMA, D.A., LOTFI, A. and LANGENSIEPEN, C., 2019.  In: A. LOTFI, H. BOUCHACHIA, A. GEGOV, C. LANGENSIEPEN and M. MCGINNITY, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, ŷ. Advances in intelligent systems and computing (AISC), 840 . Cham: Springer, pp. 303-311.
  • MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2019.  In: Proceedings of the 12th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 561-567. ISBN 9781450362320
  • ANDEREZ, D.O., LOTFI, A. and POURABDOLLAH, A., 2019.  In: Proceedings of the 12th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 580-586. ISBN 9781450362320
  • YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019.  In: Proceedings of the 12th ACM ŷ Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 575-579.
  • BRANDENBURG, S., MACHADO, P., SHINDE, P., FERREIRA, J.F. and MCGINNITY, T.M., 2019. In: ROBOT 2019: Fourth Iberian Robotics Conference, Porto, Portugal, 20-22 November 2019.
  • MACHADO, P. and COSMA, G., 2019. In: ICANN 2019: 28th ŷ Conference on Artificial Neural Networks, Munich, Germany, 17–19 September 2019.
  • MACHADO, P., OIKONOMOU, A., COSMA, G. and MCGINNITY, T.M., 2018. In: 2018 ŷ Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 8-13 July 2018.

Invited Guest Lectures (within last 5 years)

  • A Lotfi, 2023. at The 16th ŷ Conference on Pervasive Technologies Related to Assistive Environments, Corfu, Greece.
  • DE CASTRO CARDOSO FERREIRA, J., 2020.  In: IROS 2020 Workshop on Perception, Planning and Mobility in Forestry Robotics (WPPMFR 2020), Las Vegas, NV, USA (virtual workshop), 29 October 2020.

Research Datasets and Databases (within last 5 years)

  • NUNES, R., FERREIRA, J. and PEIXOTO, P., 2022.  [Dataset]
  • BITTNER, D., ANDRADA, M.E., PORTUGAL, D. and FERREIRA, J.F., 2021.  [Dataset]
  • Murray-Hill, Nicholas, & Machado, Pedro. (2023, January 7). Secure Video Streaming Using Dedicated Hardware (1.0). Zenodo.
  • Pedro Machado. (2022). Underwater crayfish dataset (1.0) [Data set]. Zenodo.
  • Machado, Pedro. (2022). Underwater Plastic dataset (1.0) [Data set]. Zenodo.
  • Machado, Pedro. (2022). Strawberry dataset for Semantic Segmentation (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6656332