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Ashutosh Tiwari 0001
Person information
- affiliation: University of Sheffield, Sheffield, UK
Other persons with the same name
- Ashutosh Tiwari — disambiguation page
- Ashutosh Tiwari 0002
— Virginia Tech, Department of Geosciences, Blacksburg, VA, USA
- Ashutosh Tiwari 0003
- Ashutosh Tiwari 0004
- Ashutosh Tiwari 0005
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2020 – today
- 2024
- [j52]Izhar Oswaldo Escudero-Ornelas
Modelling interdependencies in an electric motor manufacturing process using discrete event simulation. J. Simulation 18(4): 604-625 (2024) - [j51]Ze Zhang, Yue Yao, Windo Hutabarat, Michael Farnsworth, Divya Tiwari, Ashutosh Tiwari:
Time Series Anomaly Detection in Vehicle Sensors Using Self-Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. 25(11): 15964-15976 (2024) - [c57]Xiaoguo Lin, Mo Qu, Marc Auledas-Noguera, Ashutosh Tiwari, Yongjing Wang
Robotic Assembly of Aviation Fuel Probes and Parameters Optimisation Using Bees Algorithm. ICIT 2024: 1-6 - [c56]Fuli Wang, Windo Hutabarat, Ashutosh Tiwari:
A Lightweight Target Following Architecture for Indoor Mobile Robot. ICIT 2024: 1-5 - [i3]John Oyekan, Liam Quantrill, Christopher Turner, Ashutosh Tiwari:
Applying Deep Neural Networks to automate visual verification of manual bracket installations in aerospace. CoRR abs/2409.00006 (2024) - 2023
- [j50]Divya Tiwari
Inspection of Enamel Removal Using Infrared Thermal Imaging and Machine Learning Techniques. Sensors 23(8): 3977 (2023) - [j49]Néstor Eduardo Sánchez-Arriaga
A Spectroscopic Reflectance-Based Low-Cost Thickness Measurement System for Thin Films: Development and Testing. Sensors 23(11): 5326 (2023) - [c55]Izhar Oswaldo Escudero-Ornelas, Divya Tiwari
Hybrid Computational Framework for Fault Detection in Coil Winding Manufacturing Process Using Knowledge Distillation. INDIN 2023: 1-6 - [i2]Alexandra Brintrup, George Baryannis, Ashutosh Tiwari, Svetan M. Ratchev, Giovanna Martínez-Arellano, Jatinder Singh:
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions. CoRR abs/2305.11581 (2023) - 2022
- [j48]Igiri Onaji
Digital twin in manufacturing: conceptual framework and case studies. Int. J. Comput. Integr. Manuf. 35(8): 831-858 (2022) - [j47]Lee Clift
Implementation of a Flexible and Lightweight Depth-Based Visual Servoing Solution for Feature Detection and Tracing of Large, Spatially-Varying Manufacturing Workpieces. Robotics 11(1): 25 (2022) - [j46]Marc Auledas-Noguera
Mobile Robots for In-Process Monitoring of Aircraft Systems Assemblies. Sensors 22(9): 3362 (2022) - [c54]Nathan Gambrill, Michael Farnsworth, Rob Shaw, Stefano Tedeschi, Divya Tiwari
Narrow gap TIG arc weld process monitoring. ICAC 2022: 1-7 - [c53]Ruofan Lin, Ashutosh Tiwari, John Oyekan:
Counting assistant through multi-sensor fusion for inventory monitoring. ICAC 2022: 1-6 - [c52]Ze Zhang
Sensorformer: A Memory-efficient Transformer for Industrial Sensor Fusion. ICAC 2022: 1-6 - 2021
- [j45]John Oyekan, Windo Hutabarat, Christopher Turner
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks. Sensors 21(13): 4267 (2021) - 2020
- [j44]John Oyekan, Windo Hutabarat, Christopher Turner
Using Therbligs to embed intelligence in workpieces for digital assistive assembly. J. Ambient Intell. Humaniz. Comput. 11(6): 2489-2503 (2020) - [j43]John Oyekan, Michael Farnsworth, Windo Hutabarat, David Miller
Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul. Sensors 20(16): 4637 (2020) - [c51]Uchenna Daniel Ani
Vulnerability-Based Impact Criticality Estimation for Industrial Control Systems. Cyber Security 2020: 1-8
2010 – 2019
- 2019
- [j42]Mohd Fadzil Faisae Ab Rashid
Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization. Artif. Intell. Eng. Des. Anal. Manuf. 33(3): 332-345 (2019) - [j41]Chris J. Turner
Intelligent decision support for maintenance: an overview and future trends. Int. J. Comput. Integr. Manuf. 32(10): 936-959 (2019) - [j40]Uchenna Daniel Ani
Human factor security: evaluating the cybersecurity capacity of the industrial workforce. J. Syst. Inf. Technol. 21(1): 2-35 (2019) - [c50]Neha Prajapat, Ashutosh Tiwari
A Framework for Next Generation Interactive and Immersive DES Models. INDIN 2019: 671-676 - 2018
- [j39]Alexandra Brintrup
The Nested Structure of Emergent Supply Networks. IEEE Syst. J. 12(2): 1803-1812 (2018) - [j38]Anna Ledwoch
Systemic Risk Assessment in Complex Supply Networks. IEEE Syst. J. 12(2): 1826-1837 (2018) - [c49]Laura Lopez-Davalos, Amer Liaqat, Windo Hutabarat, Divya Tiwari
Investigating Rate Increase in Aerospace Factory By Simulation of Material Flow Operations. REV 2018: 42-49 - [c48]Vinayak Prabhu, John Oyekan, Simon Eng, Lim Eng Woei, Ashutosh Tiwari
Towards Data-Driven Cyber Attack Damage and Vulnerability Estimation for Manufacturing Enterprises. REV 2018: 333-343 - 2017
- [j37]Michael Farnsworth, Ashutosh Tiwari
Multi-level and multi-objective design optimisation of a MEMS bandpass filter. Appl. Soft Comput. 52: 642-656 (2017) - [j36]Santiago Quintana-Amate, Pablo Bermell-Garcia, Ashutosh Tiwari
A new knowledge sourcing framework for knowledge-based engineering: An aerospace industry case study. Comput. Ind. Eng. 104: 35-50 (2017) - [j35]John Oyekan, Vinayak Prabhu, Ashutosh Tiwari
Remote real-time collaboration through synchronous exchange of digitised human-workpiece interactions. Future Gener. Comput. Syst. 67: 83-93 (2017) - [j34]Mar González-Franco, Rodrigo Pizarro, Julio Cermeron, Katie Li, Jacob Thorn, Windo Hutabarat, Ashutosh Tiwari
Immersive Mixed Reality for Manufacturing Training. Frontiers Robotics AI 4: 3 (2017) - [j33]Neha Prajapat, Ashutosh Tiwari
A review of assembly optimisation applications using discrete event simulation. Int. J. Comput. Integr. Manuf. 30(2-3): 215-228 (2017) - [j32]Alexandra Brintrup
Supply Networks as Complex Systems: A Network-Science-Based Characterization. IEEE Syst. J. 11(4): 2170-2181 (2017) - [c47]Chika Edith Mgbemena, Ashutosh Tiwari
Ergonomic Assessment Tool for Real-Time Risk Assessment of Seated Work Postures. AHFE (20) 2017: 423-434 - [c46]Hongmei He
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. IJCNN 2017: 3862-3869 - 2016
- [j31]Paul Flores-Vaquero, Ashutosh Tiwari
A product-service system approach to telehealth application design. Health Informatics J. 22(2): 321-332 (2016) - [j30]Katarzyna Panikowska, Ashutosh Tiwari
Design practices used in the development of microfluidic devices: a services-based view. Int. J. Manuf. Technol. Manag. 30(6): 422-442 (2016) - [j29]Abdullah A. Alrabghi
A novel approach for modelling complex maintenance systems using discrete event simulation. Reliab. Eng. Syst. Saf. 154: 160-170 (2016) - [j28]Christopher Turner
Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends. IEEE Trans. Hum. Mach. Syst. 46(6): 882-894 (2016) - [c45]Hongmei He
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. CEC 2016: 1015-1021 - [c44]Hongmei He
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. CEC 2016: 1022-1029 - [c43]Windo Hutabarat, John Oyekan, Christopher Turner
Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing. WSC 2016: 2774-2785 - [i1]Mar González-Franco, Julio Cermeron, Katie Li, Rodrigo Pizarro, Jacob Thorn, Paul Hannah, Windo Hutabarat, Ashutosh Tiwari, Pablo Bermell-Garcia:
Immersive Augmented Reality Training for Complex Manufacturing Scenarios. CoRR abs/1602.01944 (2016) - 2015
- [j27]Abdullah A. Alrabghi
State of the art in simulation-based optimisation for maintenance systems. Comput. Ind. Eng. 82: 167-182 (2015) - [j26]Kostas Vergidis
An automated optimisation framework for the development of re-configurable business processes: a web services approach. Int. J. Comput. Integr. Manuf. 28(1): 41-58 (2015) - [j25]Santiago Quintana-Amate, Pablo Bermell-Garcia, Ashutosh Tiwari
Transforming expertise into Knowledge-Based Engineering tools: A survey of knowledge sourcing in the context of engineering design. Knowl. Based Syst. 84: 89-97 (2015) - [c42]Hongmei He
A cascade of linguistic CMAC neural networks for decision making. IJCNN 2015: 1-7 - [c41]Chris J. Turner, Ashutosh Tiwari
An Intelligent Framework and Prototype for Autonomous Maintenance Planning in the Rail Industry. VEHITS 2015: 83-89 - 2014
- [j24]Abdullah A. Alabdulkarim, Peter David Ball, Ashutosh Tiwari
Influence of resources on maintenance operations with different asset monitoring levels: A simulation approach. Bus. Process. Manag. J. 20(2): 195-212 (2014) - [j23]Christopher Durugbo, Ashutosh Tiwari
Managing integrated information flow for delivery reliability. Ind. Manag. Data Syst. 114(4): 628-651 (2014) - 2013
- [j22]Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari
Using objective reduction and interactive procedure to handle many-objective optimization problems. Appl. Soft Comput. 13(1): 415-427 (2013) - [j21]Christopher Durugbo, Ashutosh Tiwari
Modelling information flow for organisations: A review of approaches and future challenges. Int. J. Inf. Manag. 33(3): 597-610 (2013) - [j20]Dhish Kumar Saxena, João A. Duro
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17(1): 77-99 (2013) - [c40]Alice Daniels, Alessandro Giuliano, Meiling Zhu
Modeling, Validation and Design Analyses of a Piezoelectric Cymbal Transducer for Non-resonant Energy Harvesting. GreenCom/iThings/CPScom 2013: 1665-1667 - [c39]Abdullah A. Alrabghi
A Review of Simulation-Based Optimisation in Maintenance Operations. UKSim 2013: 353-358 - [c38]Abdullah A. Alrabghi
Simulation based optimization of joint maintenance and inventory for multi-components manufacturing systems. WSC 2013: 1109-1119 - 2012
- [j19]Kostas Vergidis
An evolutionary multi-objective framework for business process optimisation. Appl. Soft Comput. 12(8): 2638-2653 (2012) - [j18]Chris J. Turner
Process mining: from theory to practice. Bus. Process. Manag. J. 18(3): 493-512 (2012) - [j17]Christopher Durugbo, Windo Hutabarat, Ashutosh Tiwari
Information channel diagrams: an approach for modelling information flows. J. Intell. Manuf. 23(5): 1959-1971 (2012) - [j16]Konstantinos Gkekas, Jeffrey R. Alcock, Ashutosh Tiwari:
An investigation of the dynamic features of service design methods. J. Serv. Sci. Res. 4(2): 353-381 (2012) - [c37]Christopher Durugbo, Ashutosh Tiwari
Modelling Delivery Information Flow: A Comparative Analysis of DSMs, DFDs and ICDs. Diagrams 2012: 315-317 - 2011
- [j15]Oluseun Adeogun, Ashutosh Tiwari
Models of information exchange for UK telehealth systems. Int. J. Medical Informatics 80(5): 359-370 (2011) - [j14]Christopher Durugbo, Windo Hutabarat, Ashutosh Tiwari
Modelling collaboration using complex networks. Inf. Sci. 181(15): 3143-3161 (2011) - [j13]Michael Farnsworth, Elhadj Benkhelifa
An efficient evolutionary multi-objective framework for MEMS design optimisation: validation, comparison and analysis. Memetic Comput. 3(3): 175-197 (2011) - [j12]Sameh S. Askar, Ashutosh Tiwari
Finding Innovative Design Principles for Multiobjective Optimization Problems. IEEE Trans. Syst. Man Cybern. Part C 41(4): 554-559 (2011) - [c36]Elhadj Benkhelifa
Evolutionary multi-objective design optimisation of energy harvesting MEMS: The case of a Piezoelectric. IEEE Congress on Evolutionary Computation 2011: 1856-1863 - [c35]Dhish Kumar Saxena, Qingfu Zhang
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO 2011: 197-211 - [c34]Christopher Durugbo, Ashutosh Tiwari
Modelling Information Flow for Collaboration. DoCEIS 2011: 3-10 - [c33]Abdullah A. Alabdulkarim, Peter David Ball, Ashutosh Tiwari
Rapid modeling of field maintenance using discrete event simulation. WSC 2011: 637-646 - 2010
- [j11]Mark Ko, Ashutosh Tiwari
A review of soft computing applications in supply chain management. Appl. Soft Comput. 10(3): 661-674 (2010) - [c32]Elhadj Benkhelifa
Evolutionary design optimisation of a 32-Step Traffic Lights Controller. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c31]Ashutosh Tiwari, John Hadden, Chris J. Turner:
A New Neural Network Based Customer Profiling Methodology for Churn Prediction. ICCSA (4) 2010: 358-369 - [c30]Michael Farnsworth, Elhadj Benkhelifa
A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device. ICES 2010: 322-334 - [c29]Christopher Durugbo, Ashutosh Tiwari
Survey of Media Forms and Information Flow Models in Microsystems Companies. DoCEIS 2010: 62-69 - [c28]Elhadj Benkhelifa
Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study. NICSO 2010: 199-210 - [c27]Ashutosh Tiwari
Multi-Objective Optimisation of Web Business Processes. SEAL 2010: 573-577 - [c26]Ashutosh Tiwari, Rafael Navarro Fontestad, Chris J. Turner:
Drivers and Barriers to the Adoption of Web 2.0. WEBIST (2) 2010: 375-378
2000 – 2009
- 2009
- [j10]Sameh S. Askar, Ashutosh Tiwari
First-order optimality conditions and duality results for multi-objective optimisation problems. Ann. Oper. Res. 172(1): 277-289 (2009) - [c25]Sameh S. Askar, Ashutosh Tiwari
Finding exact solutions for multi-objective optimisation problems using a symbolic algorithm. IEEE Congress on Evolutionary Computation 2009: 24-30 - [c24]Dhish Kumar Saxena, Tapabrata Ray
Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation 2009: 545-552 - [c23]Chris J. Turner, Ashutosh Tiwari
Mining Process Flowcharts from Business Data: An Evolutionary Approach. DET 2009: 1069-1087 - [c22]Sameh S. Askar, Ashutosh Tiwari
Multi-Objective Optimisation Problems: A Symbolic Algorithm for Performance Measurement of Evolutionary Computing Techniques. EMO 2009: 169-182 - [c21]Anna Malahova, Jevgenijs Butans
A web-based CAD system for gear shaper cutters. INDIN 2009: 37-42 - [c20]Ashutosh Tiwari
Evolutionary Multi-objective Optimisation of Business Processes. WSC 2009: 293-301 - 2008
- [j9]Ashutosh Tiwari
A review of business process mining: state-of-the-art and future trends. Bus. Process. Manag. J. 14(1): 5-22 (2008) - [j8]Ashutosh Tiwari
Computer assisted decision making for new product introduction investments. Comput. Ind. 59(1): 96-105 (2008) - [j7]Ashutosh Tiwari
Rolling System Design Using Evolutionary Sequential Process Optimization. IEEE Trans. Evol. Comput. 12(2): 196-202 (2008) - [j6]Alexandra Melike Brintrup
Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms. IEEE Trans. Evol. Comput. 12(3): 343-354 (2008) - [j5]Kostas Vergidis
Business Process Analysis and Optimization: Beyond Reengineering. IEEE Trans. Syst. Man Cybern. Part C 38(1): 69-82 (2008) - [c19]Kostas Vergidis
Business process design and attribute optimization within an evolutionary framework. IEEE Congress on Evolutionary Computation 2008: 668-675 - [c18]Theodoros Vergidis, Kostas Vergidis
The evaluation line: A posteriori preference articulation approach. IEEE Congress on Evolutionary Computation 2008: 2694-2700 - [c17]Chris J. Turner, Ashutosh Tiwari
A genetic programming approach to business process mining. GECCO 2008: 1307-1314 - 2007
- [j4]Alexandra Melike Brintrup
An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization. Comput. Ind. 58(3): 279-291 (2007) - [j3]John Hadden, Ashutosh Tiwari, Rajkumar Roy
Computer assisted customer churn management: State-of-the-art and future trends. Comput. Oper. Res. 34(10): 2902-2917 (2007) - [c16]Kostas Vergidis
Composite business processes: An evolutionary multi-objective optimization approach. IEEE Congress on Evolutionary Computation 2007: 2672-2678 - [c15]Chris J. Turner
An experimental evaluation of feedback loops in a business process mining genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 2679-2686 - [c14]Jörn Mehnen
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. IEEE Congress on Evolutionary Computation 2007: 2687-2694 - [c13]Chris J. Turner
An experimental evaluation of genetic process mining. GECCO 2007: 2268 - [p2]Ashutosh Tiwari, Gokop Goteng, Rajkumar Roy
Evolutionary Computing within Grid Environment. Advances in Evolutionary Computing for System Design 2007: 229-248 - [p1]Ashutosh Tiwari, Kostas Vergidis
Evolutionary Optimization of Business Process Designs. Evolutionary Scheduling 2007: 513-541 - 2006
- [c12]Mark Stelling, Rajkumar Roy, Ashutosh Tiwari, Basim Majeed:
A coding mechanism for business process optimisation using genetic algorithmS: Initial thoughts. Artificial Intelligence and Soft Computing 2006: 312-316 - [c11]Ashutosh Tiwari, Kostas Vergidis
Evolutionary Multi-objective Optimization of Business Processes. IEEE Congress on Evolutionary Computation 2006: 3091-3097 - [c10]Abiola Oduguwa, Ashutosh Tiwari, S. Fiorentino, Rajkumar Roy:
Multi-objective optimisation of the protein-ligand docking problem in drug discovery. GECCO 2006: 1793-1800 - 2005
- [j2]Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy
Evolutionary computing in manufacturing industry: an overview of recent applications. Appl. Soft Comput. 5(3): 281-299 (2005) - [c9]Alexandra Melike Brintrup
Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. Congress on Evolutionary Computation 2005: 2154-2160 - [c8]S. Shah, Rajkumar Roy
Customised Customer Support Using a Soft Computing Approach. CIMCA/IAWTIC 2005: 939-945 - 2004
- [c7]Philip M. Jones, Ashutosh Tiwari, Rajkumar Roy
Optimisation of the high efficiency deep grinding process with fuzzy fitness function and constraints. IEEE Congress on Evolutionary Computation 2004: 574-581 - [c6]Alexandra Melike Brintrup, Ashutosh Tiwari, James Gao:
Handling Qualitativeness in Evolutionary Multiple Objective Engineering Design Optimisation. International Conference on Computational Intelligence 2004: 236-239 - [c5]Victor Oduguwa, Ashutosh Tiwari
Sequential Process Optimisation Using Genetic Algorithms. PPSN 2004: 782-791 - [c4]Abiola Oduguwa, Ashutosh Tiwari, Rajkumar Roy
An Overview of Soft Computing Techniques Used in the Drug Discovery Process. WSC 2004: 465-480 - 2003
- [c3]Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy
Handling integrated quantitative and qualitative search space in a real world optimisation problem. IEEE Congress on Evolutionary Computation 2003: 1222-1229 - 2002
- [j1]Ashutosh Tiwari, Rajkumar Roy
Evolutionary-based techniques for real-life optimisation: development and testing. Appl. Soft Comput. 1(4): 301-329 (2002) - [c2]Ashutosh Tiwari, Rajkumar Roy:
Variable Dependence Interaction And Multi-objective Optimisation. GECCO 2002: 602-609 - [c1]Rajkumar Roy, Ashutosh Tiwari
Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications. PPSN 2002: 452-463
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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