Initiated Research
- J. Wan, M. Xia, and A. Kusiak, Special Section on Internet of Things and Artificial Intelligence for Product Life-cycle Management of Complex Equipment, IEEE Transactions on Industrial Electronics, Vol. 18, No. 11, 2022, pp. 8074-8076 [Manufacturing].
- P. Li, A. Kusiak, L. Gao, and W. Shen, Editorial for the Special Issue on Intelligent Manufacturing, Engineering, Vol. 7, No. 6, 2021, pp. 704-705 [Manufacturing].
- A. Kusiak, Universal manufacturing: data, resiliency, and sustainability linkages, Journal of Intelligent Manufacturing, Vol. 33, No. 3, 2022, pp. 637-638 [Manufacturing].
- G. Liu, L. Gao, W. Shen, and A. Kusiak, A broad transfer learning algorithm for classification of bearing faults, Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, September 2020, pp. V002T07A028-1 - V002T07A028-6, https://doi.org/10.1115/MSEC2020-8312 [Data science].
- A. Kusiak, Resilient Manufacturing, Journal of Intelligent Manufacturing, Vol. 31, No. 2, 2020, p. 269 [Manufacturing].
- A. Kusiak, Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service, Journal of Intelligent Manufacturing, Vol. 31, No. 1, 2020, pp. 1-2 [Manufacturing].
- A. Kusiak, Intelligent Manufacturing: Bridging Two Centuries, Journal of Intelligent Manufacturing, Vol. 30, No. 1, 2019, pp. 1-2 [Manufacturing].
- A. Kusiak, A Four-part Plan for Smart Manufacturing, ISE Magazine, Vol. 49, No.7, July 2017, pp. 43-47 [Manufacturing].
- H. Francis and A. Kusiak, Prediction of Engine Demand with a Data-driven Approach, in A. Diveev, I. Zelinka, A. Kusiak, and E. Nikulchev (Eds), Procedia Computer Science, XII International Symposium Intelligent Systems 2016, INTELS 2016, Vol. 103, 2017, pp. 28-35 [Big data].
- J. Engler and A. Kusiak, Agent-Based Control of Thermostatic Appliances, Proceedings of the IEEE Green Technologies Conference, April 15-16, 2010, Grapevine, Texas, pp. 1-5 [HVAC energy].
- A. Kusiak, Innovation Science, The University of Hong Kong, Hong Kong, October 2015 [Innovation].
- A. Kusiak, Big Data in Mechanical Engineering, ME Today, March 2015 [Big data].
- A. Kusiak, Break Through with Big Data, Industrial Engineer, Vol. 47, No. 3, 2015, pp. 38-42 [Big data].
- X. Wei, X. He, A. Kusiak, Optimization of Wastewater Pumping Process with a Data-driven Approach, Proceedings of the 2013 Industrial and Systems Engineering Research Conference, San Juan, PR, May 2013, pp. 1-8 [Wastewater process energy].
- A. Kusiak, A. Verma, and X. Wei, Wind Turbine Frontier from SCADA, Wind Systems Magazine, Vol. 3, No. 9, September 2012, pp. 36-39 [Wind energy].
- X. Wei and A. Kusiak, Optimization of Biogas Production Process in a Wastewater Treatment Plant, Proceedings of the 2012 Industrial and Systems Engineering Research Conference, Orlando, FL, May 2012, pp. 1-9 [Wastewater process energy].
- A. Kusiakiak and Z. Zhang, Gearbox Fault Detection, Wind Systems Magazine, Vol. 3, No. 33, May 2012, pp. 54-59 [Wind energy].
- A. Kusiak and A. Verma, Enhanced Turbine Performance Monitoring, Wind Systems Magazine, Vol. 3, No. 24, August 2011, pp. 36-41 [Wind energy].
- A. Verma, and A. Kusiak, Predictive Analysis of Wind Turbine Faults: A Data Mining Approach, Proceedings of the 2011 Industrial Engineering Research Conference, Reno, Nevada, May 19-23, 2011, pp. 1-9 [Wind energy].
- A. Kusiak and Z. Zhang, Optimization of Power and its Variability with an Artificial Immune Network Algorithm, Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES, March 2011, pp.1-8 [Wind energy].
- A. Kusiak and W. Li, Short-term Prediction of Wind Farm Power – A Data-driven Approach, Modern Energy Review, Vol. 2, No. 1, 2010, pp. 65-70 [Wind energy].
- A. Kusiak and Z. Zhang, Near Term Power Prediction, Wind Systems Magazine, Vol. 2, No. 14, October 2010, pp. 48-53 [Wind energy].
- A. Kusiak and A. Verma, The Future of Wind Turbine Diagnostics, Wind Systems Magazine, Vol. 2, No. 8, April 2010, pp. 66-71 [Wind energy].
- J. Engler and A. Kusiak, Web Mining for Innovation, ASME Mechanical Engineering, Vol. 130, No. 11, November 2008, pp. 38-40 [Innovation].
- A. Kusiak, Interface Structure Matrix for Analysis of Products and Processes, Proceedings of the 15th CIRP International Conference on Life Cycle Engineering, LCE 2008, The University of New South Wales, Sydney, Australia, March 2008, pp. 444-448.
- A. Kusiak, Data Mining in Industrial Applications and Innovation, ICS News, INFORMS Computing Society, November 2007, pp. 17-21.
- A. Kusiak, Innovation of Products and Services: Bridging World's Economies, 19th International Conference on Production Research, ICPR 19, Valparaiso, Chile, August 2007, pp. 1-6 (Plenary paper) [Innovation].
- A. Kusiak, Innovation: From Data to Knowledge, BONEZone, Vol. 6, No. 1, 2007, pp. 24-26 [Innovation].
- A. Kusiak, Innovation: A Data-driven Perspective, Drug Development 2007, Touch Briefings, London, UK, July 2007, pp. 55-58 [Innovation].
- A. Kusiak, Innovation Science, Proceedings of the 11th IEEE Conference on Emerging Technologies and the Factories of the Future, ETFA 2006, Prague, Czech Republic, September 2006, pp. 507-514 [Innovation].
- A. Kusiak, Data Mining in Design of Products and Production Systems, Proceedings of INCOM 12th IFAC/IFIP/IFORS/IEEE Symposium on Control Problems in Manufacturing, Saint-Etienne, France, 2006, Vol. 1, pp. 49-53.
- A. Kusiak and S. Shah, Data Mining and Warehousing in Pharma Industry, in J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining, Idea Group, Inc., Hershey, PA, 2006, pp. 239-244 [Pharma].
- A. Kusiak and A. Burns, Mining Temporal Data: A Coal-Fired Boiler Case Study, in R. Khosla, R.J. Howlett, L.C. Jain (Eds), Knowledge-Based Intelligent Information and Engineering Systems: Vol. III, LNAI 3683, Springer, Heidelberg, Germany, 2005, pp. 953-958 [Energy].
- C. da Cunha, B. Agard, A. Kusiak, Improving Manufacturing Quality by Re-Sequencing Assembly Operations: A Data-Mining Approach, Proceedings of the 18th International Conference on Production Research - ICPR 18, University of Salerno, Fisciamo, August, 2005, pp. 1-6.
- A. Kusiak and F. Qin, Requirements Allocation, Chapter 69, in P.H. Sydenham and R. Thorn (Eds), Handbook of Measuring System Design, Wiley, New York, 2005, pp. 430-436.
- B. Agard and A. Kusiak, Standardization of Components, Products, and Processes with Data Mining, Proceedings of the International Conference on Production Research, Americas 2004, Santiago, Chile, August 2004, pp. 1-9.
- A. Burns, A. Kusiak, and T. Letsche, Mining Transformed Data Sets, in M. Gh. Negoita, R.J. Howlett, and L.C. Jain (Eds), Knowledge-Based Intelligent Information and Engineering Systems, LNAI 3213, Vol. I, Springer, Heidelberg, Germany, 2004, pp. 148-154 [Energy].
- A. Kusiak, S. Shah, and B. Dixon, Data Mining Based Decision-Making Approach for Predicting Survival Kidney Dialysis Patients, in D.D. Feng and E.R. Carson (Eds), Modeling and Control on Biomedical Systems 2003, Proceedings of the IFAC 2003 Symposium on Modeling and Control of Biomedical Systems, Melbourne, Australia, published by Elsevier, Amsterdam, The Netherlands, August 2003, pp. 35-39 [Medical paper].
- A. Kusiak, C.A. Caldarone, M.D. Kelleher, F.S. Lamb, T. Persoon, Y. Gan, and A. Burns, Mining Temporal Data Sets: Hypoplastic Left Heart Syndrome Case Study, in B.V. Dasarathy (Ed.), Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, Vol. 5098, SPIE, Belingham, WA, April 2003, pp. 93-101 [Medical topic].
- S. Shah, A. Kusiak, and B. Dixon, Data Mining in Predicting Survival of Kidney Dialysis Patients, in Proceedings of Photonics West - Bios 2003, L.S. Bass et al. (Eds), Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems XIII, Vol. 4949, SPIE, Belingham, WA, January 2003, pp.1-8 [Medical topic].
- A. Kusiak, Data Mining and Decision Making, in B.V. Dasarathy (Ed.), Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Vol. 4730, SPIE, Orlando, FL, April 2002, pp. 155-165 .
- A. Kusiak, Non-Traditional Applications of Data Mining, in D. Braha (Ed.), Data Mining for Design and Manufacturing, Kluwer, Boston, MA, 2001, pp. 401-416.
- A. Kusiak, Decomposition in Data Mining: A Medical Case Study, in B.V. Dasarathy (Ed.), Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, Vol. 4384, SPIE, Orlando, FL, April 2001, pp. 267-277 [Medical topic].
- A. Kusiak, Evolutionary Computation and Data Mining, Proceedings of the SPIE Conference on Intelligent Systems and Advanced Manufacturing, B. Gopalakrishnan and A. Gunasekaran (Eds), SPIE, Vol. 4192, Boston, MA, November 2000, pp. 1-10.
- A. Kusiak, Data Analysis: Models and Algorithms, Proceedings of the SPIE Conference on Intelligent Systems and Advanced Manufacturing, P.E. Orban and G.K. Knopf (Eds), SPIE, Vol. 4191, Boston, MA, November 2000, pp. 1-9.
- A. Kusiak, Evolutionary Computation and Data Mining in Design of Process Models, Proceedings of the Second MIT Design Structure Matrix International Workshop, MIT, Cambridge, Mass (Power Point presentation), September 2000.
- A. Kusiak, C.A. Caldarone, and N. Rossi, Data Mining and Computational Intelligence in Medical Decision Making, Proceedings of the Workshop on Creating a Knowledge Pool, Drug Information Association, Baltimore, MD, October 2000 (Power Point presentation) [Medical topic].
- A.topic Kusiak and A. Zakarian, Evolutionary Computation and Data Mining in Process Modeling, Proceedings of the Quality Engineering Conference, San Jose, Costa Rica, August 2000, pp. 49-59.
- A. Kusiak, Integrated Product and Process Design: A Modularity Perspective, Engineering Design Conference 2000, S. Sivalogathan and P.T.J. Andrews (Eds), Professional Engineering Publishing, London, UK, pp. 73-82.
- A. Kusiak, K.H. Kernstine, J.A. Kern, K.A. McLaughlin, and T.L. Tseng, Data Mining: Medical and Engineering Case Studies, Proceedings of the IIE Research 2000 Conference, Cleveland, OH, May 2000, pp. 1-7 [Medical topic].
- A. Kusiak and T.L. Tseng, Data Mining in Engineering Design: A Case Study, Proceedings of the IEEE Conference on Robotics and Automation, San Francisco, CA, April, 2000, pp. 206-211.
- A. Kusiak, Autonomous Diagnostics: A Data Mining Approach, Proceedings of the XIth Workshop on Supervising and Diagnostics of Machining Systems, Karpacz, Poland, March 2000, pp. 100-108.
- A. Kusiak, Decision Making: A Data Mining Perspective, Proceedings of the 26th International Conference on Computers and Industrial Engineering, Melbourne, Australia, Vol. 2, December 1999, pp. 145-151.
- A. Kusiak and T.L. Tseng, Data Mining: An Optimization Perspective, Proceedings of the International Conference on Industrial Engineering and Production Management, Glasgow, Scotland, Vol. 1, July 1999, pp. 1-14 [Medical topic].