Overview

Baris Yuce is a Senior Lecturer and Program Director of MSc Engineering Business Management at the Faculty of Environment Science and Economy, the University of Exeter.

Prior to his current job, he worked at Cardiff University as a Post-Doc at the BRE Centre for Sustainable Engineering, School of Engineering, and at  School of Computer Science, Machine Vision Group

Baris  graduated from the Department of Industrial Engineering at Sakarya University (Turkey) in 2005. He obtained his MSc degree from Institute of Natural Science at Sakarya University in 2007. He then completed his PhD from Cardiff University, School of Engineering, in 2012.

Research Interests:

Urban Analytics, Machine Learning, Machine Vision, Life Cycle Assessment, Supply Chain Management, Sustainable Supply Chain Management, Industry 4.0 Applications, Ontology Applications, Smart Cities, Smart Buildings, Renewable Energy Management, Forecasting Systems, Deterministic and Stochastic Optimisation including: Integer Programming, Nonlinear Programming, The Bees Algorithm, Genetic Algorithm, Simulated Annealing, Ant Colony Optimisation and Hill Climbing, Fuzzy Systems and Fuzzy Logic, Rough Set Theory,  Multi-Agent Systems, Single Machine Scheduling, Job-Shop Scheduling,  Robotics and Automation, High Performance Computing (HPC) and Wireless Mesh Networking systems.

Project Baris  has involved: 

Industrial Funded (Waterman Group) (PI): Optimised decision support system to compute the embodied and operational carbon of Mechanical and Electrical systems in buildings.

UKRPIF funded: Net Zero – CREWW ENZO: Embodying Net Zero in Operation (Co-I), Digital Twin Development of the CREWW Building.

STFC Food Network+ (Co-I) -  Developing a data-driven communication platform for improving farmed fish distribution in Kenya

KTP funded project with Smart Manufacturing (Co-I) -  Implemention of a dual-production business model and a novel simulation tool to enable the optimisation of multi production manufacturing flows with Smart Manufacturing.

RIVIC (3D Mesh Processing Systems) - Welsh Government Funded,
SPORTE2 (Optimised Energy Management Systems for Sports Facilities) - EC-FP-7 Funded,
KnoholEM (Holistic Knowledge-based (Ontology Added) Energy Optimisation Systems) - EC-FP-7 Funded,
Estate Energy Optimisation (EEO)-Box ( Optimised Domestic Appliance Scheduling and Energy Management Systems) - BRE Funded
WANDA (River Depth Prediction Systems) - TSB Funded
MAS2TERING (Multi-Agent-based Secure Smart Grid Management Systems) - EC-FP-7 Funded

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 |

2022

• Wicaksono H, Yuce B, McGlinn K, Calli O. (2022) Smart cities and buildings, Buildings and Semantics, Taylor & Francis, 239-263, DOI:10.1201/9781003204381-13.
• He N, Zhang DZ, Yuce B. (2022) Integrated multi-project planning and scheduling - a multiagent approach, European Journal of Operational Research, volume 302, no. 2, pages 688-699, DOI:10.1016/j.ejor.2022.01.018.

2021

• Aldoumani M, Yuce B, Zhu D. (2021) Using the Variable Geometry in a Planar Inductor for an Optimised Performance, Electronics, volume 10, no. 6, pages 721-721, DOI:10.3390/electronics10060721. [PDF]

2020

• Yuce B, Mastrocinque E. (2020) Supply Chain Network Design Using an Enhanced Hybrid Swarm-Based Optimization Algorithm, Supply Chain and Logistics Management, IGI Global, 266-283, DOI:10.4018/978-1-7998-0945-6.ch013.

2019

• Howell SK, Wicaksono H, Yuce B, McGlinn K, Rezgui Y. (2019) User Centered Neuro-Fuzzy Energy Management through Semantic-Based Optimization, IEEE Transactions on Cybernetics, volume 49, no. 9, pages 3278-3292, DOI:10.1109/TCYB.2018.2839700.

2018

• Petri I, Yuce B, Kwan A, Rezgui Y. (2018) Cognitive Based Decision Support for Water Management and Catchment Regulation, IFIP Advances in Information and Communication Technology, volume 534, pages 467-477, DOI:10.1007/978-3-319-99127-6_40.

2017

• Petri I, Yuce B, Kwan A, Rezgui Y. (2017) An intelligent analytics system for real-time catchment regulation and water management, IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2017.2782338.
• McGlinn K, Yuce B, Wicaksono H, Howell S, Rezgui Y. (2017) Usability evaluation of a web-based tool for supporting holistic building energy management, Automation in Construction, volume 84, pages 154-165, DOI:10.1016/j.autcon.2017.08.033.
• Yuce B, Fruggiero F, Packianather MS, Pham DT, Mastrocinque E, Lambiase A, Fera M. (2017) Hybrid Genetic Bees Algorithm applied to single machine scheduling with earliness and tardiness penalties, Computers and Industrial Engineering, DOI:10.1016/j.cie.2017.07.018.
• Yuce B, Mourshed M, Rezgui Y. (2017) A Smart Forecasting Approach to District Energy Management, Energies, volume 10, pages 1073-1073, DOI:10.3390/en10081073.
• Yuce B, Mourshed M, Rezgui Y. (2017) An ANN-based energy forecasting framework for the district level smart grids, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, volume 175, pages 107-117, DOI:10.1007/978-3-319-47729-9_12.

2016

• Yuce B, Mastrocinque E. (2016) Supply Chain Network Design Using an Enhanced Hybrid Swarm-Based Optimization Algorithm, Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, IGI Global, 95-112, DOI:10.4018/978-1-4666-9644-0.ch003. [PDF]
• Yuce B, Mastrocinque E. (2016) A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection, Advances in Computer and Electrical Engineering, IGI Global, 171-194, DOI:10.4018/978-1-4666-9479-8.ch007. [PDF]
• Petri I, Li H, Rezgui Y, Chunfeng Y, Yuce B, Jayan B. (2016) A HPC based cloud model for real-time energy optimisation, Enterprise Information Systems, volume 10, no. 1, pages 108-128, DOI:10.1080/17517575.2014.919053.
• Yuce B, Rezgui Y, Mourshed M. (2016) ANN-GA smart appliance scheduling for optimised energy management in the domestic sector, Energy and Buildings, volume 111, pages 311-325, DOI:10.1016/j.enbuild.2015.11.017.
• Ahmad MW, Mourshed M, Yuce B, Rezgui Y. (2016) Computational intelligence techniques for HVAC systems: A review, Building Simulation, volume 9, no. 4, pages 359-398, DOI:10.1007/s12273-016-0285-4.
• Martino G, Yuce B, Iannone R, Packianather MS. (2016) Optimisation of the replenishment problem in the Fashion Retail Industry using Tabu-Bees algorithm, IFAC-PapersOnLine, volume 49, no. 12, pages 1685-1690, DOI:10.1016/j.ifacol.2016.07.823.
• Hippolyte JL, Howell S, Yuce B, Mourshed M, Sleiman HA, Vinyals M, Vanhee L. (2016) Ontology-based demand-side flexibility management in smart grids using a multi-agent system, IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, DOI:10.1109/ISC2.2016.7580828.
• Yuce B, Mourshed M, Rezgui Y, Rana OF. (2016) Preserving prosumer privacy in a district level smart grid, IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, DOI:10.1109/ISC2.2016.7580829.

2015

• Yuce B, Rezgui Y, Howell SK. (2015) ANN-genetic algorithm-based rule generation for holistic energy management in public buildings, eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM 2014, pages 401-407, DOI:10.1201/b17396-68.
• Yuce B, Rezgui Y. (2015) An ANN-GA semantic rule-based system to reduce the gap between predicted and actual energy consumption in buildings, IEEE Transactions on Automation Science and Engineering, volume PP, no. 99, DOI:10.1109/TASE.2015.2490141.
• Yuce B, Pham DT, Packianather MS, Mastrocinque E. (2015) An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem, Production and Manufacturing Research, volume 3, no. 1, pages 3-19, DOI:10.1080/21693277.2014.976321.

2014

• Mastrocinque E, Yuce B, Lambiase A, Packianather MS. (2014) A system of systems approach to supply chain design, Applied Mechanics and Materials, volume 496-500, pages 2807-2814, DOI:10.4028/www.scientific.net/AMM.496-500.2807.
• Yang C, Li H, Rezgui Y, Petri I, Yuce B, Chen B, Jayan B. (2014) High throughput computing based distributed genetic algorithm for building energy consumption optimization, Energy and Buildings, volume 76, pages 92-101, DOI:10.1016/j.enbuild.2014.02.053.
• Yuce B, Li H, Rezgui Y, Petri I, Jayan B, Yang C. (2014) Utilizing artificial neural network to predict energy consumption and thermal comfort level: An indoor swimming pool case study, Energy and Buildings, volume 80, pages 45-56, DOI:10.1016/j.enbuild.2014.04.052.
• Petri I, Li H, Rezgui Y, Yang C, Yuce B, Jayan B. (2014) A modular optimisation model for reducing energy consumption in large scale building facilities, Renewable and Sustainable Energy Reviews, volume 38, pages 990-1002, DOI:10.1016/j.rser.2014.07.044.
• Packianather MS, Yuce B, Mastrocinque E, Fruggiero F, Pham DT, Lambiase A. (2014) Novel Genetic Bees Algorithm applied to single machine scheduling problem, World Automation Congress Proceedings, pages 906-911, DOI:10.1109/WAC.2014.6936194.
• Jayan B, Li H, Rezgui Y, Hippolyte JL, Yuce B, Yang C, Petri I. (2014) An ontological approach to intelligent energy management in building, EG-ICE 2014, European Group for Intelligent Computing in Engineering - 21st International Workshop: Intelligent Computing in Engineering 2014.
• Yuce B, Mastrocinque E, Lambiase A, Packianather MS, Pham DT. (2014) A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy, Swarm and Evolutionary Computation, volume 18, pages 71-82, DOI:10.1016/j.swevo.2014.04.002.
• Howell SK, Rezgui Y, Yuce B. (2014) Knowledge-based holistic energy management of public buildings, Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering, pages 1667-1674, DOI:10.1061/9780784413616.207.
• Yuce B, Mastrocinque E, Packianather MS, Lambiase A, Pham DT. (2014) The bees algorithm and its applications, Handbook of Research on Artificial Intelligence Techniques and Algorithms, 122-151, DOI:10.4018/978-1-4666-7258-1.ch004.
• Yuce B, Mastrocinque E, Packianather MS, Pham D, Lambiase A, Fruggiero F. (2014) Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects, Production and Manufacturing Research, volume 2, no. 1, pages 291-308, DOI:10.1080/21693277.2014.892442.

2013

• Mastrocinque E, Yuce B, Lambiase A, Packianather MS. (2013) A multi-objective optimization for supply chain network using the bees algorithm, International Journal of Engineering Business Management, volume 5, no. 1, pages 1-11, DOI:10.5772/56754.
• Yuce B, Packianather MS, Mastrocinque E, Pham DT, Lambiase A. (2013) Honey bees inspired optimization method: The bees algorithm, Insects, volume 4, no. 4, pages 646-662, DOI:10.3390/insects4040646.

2012

• Kubat C, Yuce B. (2012) A hybrid intelligent approach for supply chain management system, Journal of Intelligent Manufacturing, volume 23, no. 4, pages 1237-1244, DOI:10.1007/s10845-010-0431-2.

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