Photo of Nelly Bencomo
  

View Scopus Profile

Nelly Bencomo

Dr

 https://orcid.org/0000-0001-6895-1636

    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    PhD projects

    I have several PhD Research Project are available in different areas related to Decision-making Under Uncertainty for Autonomous Intelligent Systems, among other I have the following as examples: - Autonomous Decision-making Under Uncertainty using Bayesian Learning - Self-explanation of Decision Making based on Machine and Bayesian Learning and using Historical Data - Optimization of Rewards using Evolutionary Computation - Digital Twins Using Runtime Models

    20042020

    Research activity per year

    If you made any changes in Pure these will be visible here soon.

    Personal profile

    General

    I am a Senior Lecturer in Computer Science in Aston University (since May 2013). At the moment I am the PI of the EPSRC Project Twenty20Insight (2020-2023)(https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/T017627/1)

    In 2019 I was granted  the Leverhulme Fellowship "QuantUn: quantification of uncertainty using Bayesian surprises to be developed in Aston and Inria (Rennes and Paris, France). Before joining Aston, I was a Marie Curie Fellow at INRIA Paris-Rocquencourt , France (May 2011- May 2013) under the  EU Marie-Curie Fellowship (Grant) called Requirements@run.time: Requirements-aware Systems. I am also a Visiting Researcher at Lancaster University (May 2011 – May 2015). Before, I was lecturer and researcher in the Computing School at the Universidad Central de Venezuela. More info can be found at www.nellybencomo.me 

    Research Interests

    I am interested in all aspects of software modelling and specially the application of model-driven techniques, during the development and operation of intelligent autonomous systems. I am particularly interested in what I call models@run.time, the use of models and model-driven techniques during runtime. Specific topics:

    • intelligent autonomous and self-adaptive systems
    • decision-making under uncertainty
    • models@run.time
    • model-driven engineering

    Teaching Activity

    Currently, I am teaching

    •  (2017-18 CS3360, CS4860) Software Project Management - Both Undergraduate and Master Level
    •  (2017-18 CS1410) Java Program Development

    Qualifications

    • PhD in Computing, Lancaster University, March 2008
    • MSc in Software Engineering, Universidad Central de Venezuela (UCV), (honourable mention) 1998
    • Five-year Bachelor in Computing Science, Computing School, Universidad Central de Venezuela, 1993

    Employment

    • 2013 May – Present, Lecturer in Computer Science, Aston University, UK
    • 2011 May – May 2013, Marie Curie Fellow, INRIA, Paris-Rocquencourt, France
    • 2008 April – April 2011, Senior Research Associate, Lancaster University
    • 2006 – March 2008, Research Associate, Lancaster University
    • 2003 – 2006, Teaching Assistant, Lancaster University
    • 1997 – 2003,  Lecturer, Computing School, Universidad Central de Venezuela (UCV)

    Membership of Professional Bodies

    • ACM (since May 2008)
    • ACM SIGSOFT, IEEE (since 2008)

    Contact Details

    Phone number: +44 (0)121 204 3392

    Email:  n.bencomo@aston.ac.uk or nelly@acm.org

    Room Number: MB211M

    Education/Academic qualification

    Award Date: 11 Nov 2016

    External positions

    Visiting Researcher

    1 Sep 2019 → 30 Sep 2020

    Fingerprint

    Dive into the research topics where Nelly Bencomo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 5 Similar Profiles

    Network

    Recent external collaboration on country level. Dive into details by clicking on the dots or

    • A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems

      Combemale, B., Kienzle, J. A., Mussbacher, G., Ali, H., Amyot, D., Bagherzadeh, M., Batot, E., Bencomo, N., Benni, B., Bruel, J. M., Cabot, J., Cheng, B. H. C., Collet, P., Engels, G., Heinrich, R., Jezequel, J. M., Koziolek, A., Mosser, S., Reussner, R., Sahraoui, H. & 5 others, Saini, R., Sallou, J., Stinckwich, S., Syriani, E. & Wimmer, M., 15 May 2020, In: IEEE Software.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File

    • Automated provenance graphs for models@run.time

      Reynolds, O., García-Domínguez, A. & Bencomo, N., 16 Oct 2020, Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings. ACM, p. 344-353 10 p. 53. (Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference publication

      Open Access

    • Next steps in variability management due to autonomous behaviour and runtime learning

      Bencomo, N., 5 Feb 2020, Proceedings - VaMoS 2020: 14th International Working Conference on Variability Modelling of Software-Intensive Systems. Cordy, M., Acher, M., Beuche, D. & Saake, G. (eds.). ACM, p. 1-2 a2

      Research output: Chapter in Book/Report/Conference proceeding › Conference publication

    • Opportunities in intelligent modeling assistance

      Mussbacher, G., Combemale, B., Kienzle, J., Abrahão, S., Ali, H., Bencomo, N., Búr, M., Burgueño, L., Engels, G., Jeanjean, P., Jézéquel, J. M., Kühn, T., Mosser, S., Sahraoui, H., Syriani, E., Varró, D. & Weyssow, M., 1 Sep 2020, In: Software and Systems Modeling. 19, 5, p. 1045-1053 9 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Run-time and Collective Adaptation of Gameful Systems

      Bencomo, N., Bucchiarone, A., Loria, E., Marcon, A. & Cicchetti, A., 21 Aug 2020, p. 145-146. 2 p.

      Research output: Contribution to conference › Paper › peer-review

    Your message has successfully been sent.
    Your message was not sent due to an error.
    If you made any changes in Pure these will be visible here soon.