Ludovic koehL

Professor

Research

Human Centered Design Group

  • Research skill : Computer engineering, automation and signal processing
  • CNRS scientific domain: 61

Research interests

  • Textile comfort and quality
  • Modeling and optimization of textile processes and materials
  • Study of new uses and new purchasing behaviors for textiles
  • Management and analysis of massive data
  • Recommendation systems
  • Traceability
  • Computer modeling and their applications for the textile industry

PhD Students Supervision (in progress)

2020 Noemie PICHON, Parameterization tool for the Life Cycle Assessment (LCA) of textiles

2020 Ali RAZA, Smart Healthcare System with Federated Learning

2021 Marc-Junior NKENGUE, Development of a local decision support system for online monitoring and diagnosis using smart e-textiles

2021 Lea CATTEAU, Optimization of an assessment tool for the textile-apparel industry: towards more sustainable production and consumption patterns

2021 Yue SHEN, Adaptative dyeing of knitting yarns

PROJECTS

Below are the list of selected ongoing projects that Ludovic KHOEL is a Principal Investigator (PI) or co-PI

SMDTex (2013-2021) Euro-Asian Joint Doctorate program  (Erasmus Mundus) led by Pr. Xianyi Zeng and funded by the EC 

FBD_BModel (2020): Fashion Big Data Business Model led by Pr. Xianyi Zeng and funded by the EC

AICSSHS (2021) : Artificial Intelligence for Cyber Security in Smart Healthcare SystemKim Smart HealthCare System avec Doc.Kim- Phuc Tran, Pr. Ludovic Koehl and Pr. Xianyi Zengin partnership with Kent Univ., UK

AISCOBDE (2021) : Artificial Intelligence for Supply Chain Optimization in the Big Data Era with Pr. Xianyi Zeng, Doc. Kim-Phuc Tran and Ludovic Koehlin partnership with Gent University, Belgium

publications

Raza A, Tran K-P, Koehl L and Li S, Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI, Knowledge-Based Syst., vol. 236

Sharma S, Koehl L, Bruniaux P, Zeng X, Wang Z, Development of An Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions, Sensors (Basel), vol. 21

Song KH, Zeng X, Zhang Y, De Jonckheere J, Yuan XJ, Koehl L, An Interpretable Knowledge-Based Decision Support System and Its Applications in Pregnancy Diagnosis, Knowledge-Based Syst., vol. 221

Zhao X, Zeng X, Koehl L, Tartare G, De Jonckheere J, A Wearable System for In-Home and Long-Term Assessment of Fetal Movement, IRBM, vol. 41, pp. 205-211

Dong M, Zeng X, Koehl L, Zhang JJ, An Interactive Knowledge-Based Recommender System for Fashion Product Design in The Big Data Environment, Inf. Sci., vol. 540, pp. 469-488

Wang KC, Zeng X, Chen Y, Koehl L, Tao X, General Architecture and Methodology for The Development of A Traceability Information Management Platform For Smart Manufacturing: Insights From The Textile Dyeing Industry, 14th International FLINS Conference (FLINS 2020) on Robotics and Artificial Intelligence, Aug. 18-21, 2020, Cologne, Germany, vol. 12, pp. 573-580

Song KH, Zeng X, Koehl L, De Jonckheere J, Yuan XJ, Extracting Diagnosis Rules Using Fuzzy Binary Decision Tree for Pregnancy Consultations, 14th International FLINS Conference (FLINS 2020) on Robotics and Artificial Intelligence, Aug. 18-21, 2020, Cologne, Germany, vol. 12

Dong M, Zeng X, Koehl L, Zhang JJ, Predicting the Fashion Features of Fabrics Using Fuzzy Technique and Rough Set Method, 14th International FLINS Conference (FLINS 2020) on Robotics and Artificial Intelligence, Aug. 18-21, 2020, Cologne, Germany, vol. 12

Wang KC, Kumar V, Zeng X, Koehl L, Tao X, Chen Y, Development of A Textile Coding Tag for The Traceability in Textile Supply Chain by Using Pattern Recognition and Robust Deep Learning, Int. J. Comput. Intell. Syst., vol. 12, pp. 713-722

Benkirane R, Thomassey S, Koehl L, Perwuelz A, A Consumer-Based Textile Quality Scoring Model Using Multi-Criteria Decision Making, J. Eng. Fiber Fabr., vol. 14

Agrawal TK, Campagne C, Koehl L, Development and Characterisation of Secured Traceability Tag for Textile Products by Printing Process, Int. J. Adv. Manuf. Technol., vol. 101, pp. 2907-2922

Song KH, De Jonckheere J, Zeng X, Koehl L, Yuan XJ, Zhao X, Development of A Data-Based Interactive Medical Expert System for Supporting Pregnancy Consultations: General Architecture and Methodology, IFAC PAPERSONLINE, vol. 52, pp. 67-72

Sharma S, Koehl L, Bruniaux P, Zeng X, Garment Fashion Recommendation System for Customized Garment, 2019 International Conference on Industrial Engineering and Systems Management (IESM), Sept. 25-29, 2019, Shanghai, China, pp. 773-778

Zhao X, Zeng, Koehl L, Tartare G, de Jonckheere J, Song KH, An Iot-Based Wearable System Using Accelerometers and Machine Learning for Fetal Movement Monitoring, IEEE International Conference on Industrial Cyber-Physical Systems, May 6-9, 2019, Taipei, Taiwan, pp. 299-304

Agrawal TK, Koehl L, Campagne C, A Secured Tag for Implementation of Traceability in Textile and Clothing Supply Chain, Int. J. Adv. Manuf. Technol., vol. 99, pp. 2563-2577

Tao X, Chen X, Zeng X, Koehl L, A Customized Garment Collaborative Design Process by Using Virtual Reality and Sensory Evaluation on Garment Fit, Comput. Ind. Eng., vol. 115, pp. 683-695

Xue Z, Zeng X, Koehl L, An Intelligent Method for The Evaluation and Prediction of Fabric Formability for Men’s Suits, Text. Res. J., vol. 88, pp. 438-452

Xue ZB, Zeng X, Koehl L, Artificial Intelligence Applied to Multisensory Studies of Textile Products, Springer Series in Fashion Business, pp. 211-244

Zhang JJ, Zeng X, Koehl L, Dong M, Recommending Garment Products In E-Shopping Environment by Exploiting an Evolutionary Knowledge Base, Int. J. Comput. Intell. Syst., vol. 11, pp. 340-354

Zhao X, Zeng X, Tartare G, Koehl L, De Jonckheere J, A Fuzzy Signal Processing Approach Integrated into An Intelligent Garment for Online Fetal Movement Monitoring, Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), Aug 21-24, 2018, Belfast, Northern Ireland, UK, vol. 11, pp. 1520-1527

Xue Z, Zeng X, Koehl L, Development of A Method Based on Fuzzy Comprehensive Evaluation and Genetic Algorithm to Study Relations Between Tactile Properties and Total Preference of Textile Products, J. Text. Inst., vol. 108, pp. 1085-1094

Kumar V, Koehl L, Zeng X, Ekwall D, Coded Yarn Based Tag for Tracking Textile Supply Chain, J. Manuf. Syst., vol. 42, pp. 124-139

Pacaux-Lemoine MP, Habib L, Tartare G, Koehl L, Zeng X, Human-Robots Cooperation Through Intelligent Garment, IEEE 26th International Symposium on Industrial Electronics ISIE 2017, 19-21 June 2017, Edinburgh, UK, pp. 1996-2001

Agrawal TK, Koehl L, Campagne C, Implementing Traceability Using Particle Randomness-Based Textile Printed Tags, 17th World Textile Conference AUTEX 2017 – Shaping the Future of Textiles, 29–31 May 2017, Corfu, Greece, vol. 254

Moretti C, Tao X, Koehl L, Koncar V, Electrochromic Textile Displays for Personal Communication, Chapter: Smart Textiles and their Application, pp. 539-568

Wang L, Zeng X, Chen Y, Koehl L, The Use of Fuzzy Logic Techniques to Improve Decision Making in Apparel Supply Chains, book: Information Systems for the Fashion and Apparel Industry, vol. 179, pp. 9-39

Kumar V, Koehl L, Zeng X, A Fully Yarn Integrated Tag for Tracking the International Textile Supply Chain, J. Manuf. Syst., vol. 40, pp. 76-86

Xue Z, Zeng X, Koehl L, Shen L, Consistency and Reliability of Untrained Consumers’ Perceptions of Fabric Hand of Men’S Suiting, Text. Res. J., vol. 86, pp. 1425-1442

Xue Z, Zeng X, Koehl L, Shen L, Interpretation of Fabric Tactile Perceptions Through Visual Features for Textile Products, J. Sens. Stud., vol. 31, pp. 143-162

Feki I, Zeng X, Ghith A, Koehl L, Msahli F, Sakli F, Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and Owa Operators, Int. J. Comput. Intell. Syst., vol. 9, pp. 213-226

Feki I, Msahli F, Zeng X, Koehl L, Modeling Fabric Hand of a Textile Process Using a Multilayer Perceptron Pruning Algorithm, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 1015-1021

Dong M, Zeng X, Koehl L, Dynamic Fuzzy Clustering of Lower Body Shapes for Developing Personalized Pants Design, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 898-904

Zhang J, Zeng X, Koehl L, Dong M, Consumer-Oriented Intelligent Garment Recommendation System, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 905-910

Kamalha E, Koehl L, Campagne C, Classification and Measure of Quantitative Difference Between Polyester and Cotton Fabrics Based On Sensory Analysis, Conference: Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 1022-1028

Agrawal TK, Koehl L, Campagne C, Cryptographic Tracking Tags for Traceability In Textiles And Clothing Supply Chain, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 800-805

Xue ZB, Zeng X, Koehl L, Chen Y, An Intelligent Method to Study Fabric Tactile Properties Through Vision, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), August 24-26, 2016 – Roubaix, France, vol. 10, pp. 951-956

Wang LC, Zeng X, Koehl L, Chen Y, Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design, IEEE T. Hum.-Mach. Syst., vol. 45, pp. 95-109

Feki I, Zeng X, Ghith A, Msahli F, Koehl L, Sakli F, Features Selection of Stonewashed Denim to A Sensory Descriptor, Fiber. Polym., vol. 16, pp. 2066-2076

Chen X, Tao X, Zeng X, Koehl L, Boulenguez-Phippen J, Control and Optimization of Human Perception on Virtual Garment Products by Learning from Experimental Data, Knowledge-Based Syst., vol. 87, pp. 92-101

Xue ZB, Shen L, Xue ZB, Zeng X, Koehl L, Development of An Intelligent Model to Predict Tactile Properties from Visual Features of Textile Products, 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 24-27 nov. 2015, Taipei, Taiwan, pp. 229-236

Zhao LC, Wu W, Zeng X, Koehl L, Tartare G, A New Method for Fetal Movement Detection Using an Intelligent T-Shirt Embedded Physiological Sensors, IEEE 16th International Conference on Communication Technology (ICCT), Oct. 18-20, 2015, Hangzhou, China, pp. 563-567

Bu Y, Wu W, Zeng X, Koehl L, Tartare G, A Wearable Intelligent System for Real Time Monitoring Firefighter’S Physiological State and Predicting Dangers, IEEE 16th International Conference on Communication Technology (ICCT), Oct. 18-20, 2015, Hangzhou, China, pp. 429-432

Moretti C, Tao X, Koncar V, Koehl L, A Study on Electrical Performances and Lifetime of a Flexible Electrochromic Textile Device, Autex Res. J., vol. 14, pp. 76-81

Xue ZB, Zeng X, Koehl L, Chen Y, Extracting Fabric Hand Information from Visual Representations of Flared Skirts, Text. Res. J., vol. 84, pp. 246-266

Xue Z, Zeng X, Koehl L, Chen Y, Measuring Consistency of Two Datasets Using Fuzzy Techniques and The Concept of Indiscernibility: Application to Human Perceptions on Fabrics, Eng. Appl. Artif. Intell., vol. 36, pp. 54-63

Chen XO, Zeng X, Koehl L, Tao X, Boulenguez-Phippen J, Optimization of Human Perception on Virtual Garments by Modeling the Relation Between Fabric Properties and Sensory Descriptors Using Intelligent Techniques, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IMPU), Jul. 15-19, 2014, Montpellier, France, vol. 443, pp. 606-615

Feki I, Msahli F, Zeng X, Koehl L, Selecting Relevant Parameters of a Textile Process Using Fuzzy Sensitivity and Owa Operators, 11th International FLINS Conference on Decision Making and Soft Computing (FLINS2014), August 17-20, 2014, Joao Pessoa, Brazil, vol. 9, pp. 631-636

Jelil RA, Zeng X, Koehl L, Perwuelz A, Modeling Plasma Surface Modification of Textile Fabrics Using Artificial Neural Networks, Eng. Appl. Artif. Intell., vol. 26, pp. 1854-1864

Zeng X, Koehl L, Wang L, Chen Y, An Intelligent Recommender System for Personalized Fashion Design, IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), Jun. 24 – 28, 2013, Canada, pp. 760-765

Jelil RA, Zeng X, Koehl L, Perwuelz A, Most Relevant Parameters of Woven Fabric Structure Controlling Atmospheric Air-Plasma Treatments, Text. Res. J., vol. 82, pp. 1859-1869

Agarwal G, Perwuelz A, Koehl L, Lee KS, Interaction Between the Surface Properties of The Textiles and The Deposition Of Cationic Softener, J. Surfactants Deterg., vol. 15, pp. 97-105

 Pense-Lheritier AM, Koehl L, Lavarde M, Gagnaire S, Vie K, Contribution of The Sensorial Evaluation of Velvet Fabric In Cosmetic Emulsions To The Sensorial Universe, J. Sens. Stud., vol. 27, pp. 365-374

Xue ZB, Zeng X, Koehl L, Chen Y, Visual Interpretation of Fabric Tactile Properties Using Fuzzy Inclusion Degree and Anfis, book: Uncertainty Modeling in Knowledge Engineering and Decision Making, vol. 7, pp. 1251-1256

TEACHING

  • Information and Communication Technologies for students on the use of digital tools during their training and for their professional future

  • Data analysis as a science for textile engineer illustrated by applications to the textile field

  • Textile engineering (process engineering) at the mesoscopic scale of textile material (yarn scale)