Sunith Bandaru

Bitr. lektor i automat.teknik

Institutionen för ingenjörsvetenskap

Kontaktuppgifter

  • Rum
  • PA210F

 

Curriculum Vitae

Home Page

Google Scholar Profile

DBLP Profile

 

Administrative Roles

  1. Subject Representative for Virtual Product Realization
  2. Member, Educational Committee for School of Engineering
  3. Programme Coordinator for M.Sc. Industrial Systems Engineering

Teaching

  1. AU724A: Computational Intelligence, Course responsible and lecturer since Autumn 2015
  2. IT917F: Industrial Optimization and Decision Analysis, Course responsible and lecturer since Autumn 2014
  3. AU729A: Dissertation in Automation Engineering, Course responsible since Spring 2018
  4. AU718A: Artificial Intelligence for Industrial Applications, Lecturer in Autumn 2014
  5. IT708A: Research Methodology and Communication in Information Technology, Lecturer in Spring 2018

Projects

  1. KDDS - Knowledge-Driven Decision Support via Optimization
  2. KDISCO - Knowledge Discovery in Simulation-based Optimization
    • Role: Project Leader and Principal Investigator
    • Funding Agency: KK-stiftelsen (Knowledge Foundation)
    • Funding Amount: 1.7 Million SEK
    • Funding Period: January 2014 to December 2015
  3. Modeling Customer Perception by Aggregate Data-Mining of Service Data
    • Role: Senior Researcher
    • Funding Agency: General Motors R&D Center, Warren, MI, USA
    • Funding Period: December 2009 to December 2011

Publications

Theses

  1. Bandaru, S."Automated Innovization: Knowledge discovery through multi-objective optimization", Ph.D. Thesis, Indian Institute of Technology Kanpur, 2013. [Online]
  2. Bandaru, S."Binary and real-coded genetic algorithms for tomographic reconstructions", Master’s Thesis, Indian Institute of Technology Kanpur, 2008. [Online]

Book Chapters

  1. Bandaru, S. and. Deb, K., "Metaheuristic Techniques"Decision Sciences: Theory and Practice (Editors: Sengupta, R.N., Gupta, A. and Dutta, J.), pp. 693-750, CRC Press, Taylor & Francis Group, 2016. [Online]

Journals (Click journal name for Google metrics)

  1. Amouzgar, K., Bandaru, S., Andersson, T. and Ng, A.H.C, "A framework for simulation-based multi-objective optimization and knowledge discovery of machining process", The International Journal of Advanced Manufacturing Technology, pp. 1-18, 2018. [Online]
  2. Amouzgar, K., Bandaru, S. and Ng, A.H.C, "Radial basis functions with a priori bias as surrogate models: A comparative study", Engineering Applications of Artificial Intelligence 71, pp. 28-44, 2018. [Online]
  3. Bandaru, S., Ng, A.H.C. and Deb, K., "Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey"Expert Systems with Applications 70, pp. 139-159, 2017. [Online]
  4. Bandaru, S., Ng, A.H.C. and Deb, K., "Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications"Expert Systems with Applications 70, pp. 119-138, 2017. [Online]
  5. Bandaru, S., Gaur, A., Deb, K., Khare, V., Chougule, R. and Bandyopadhyay, P., "Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization"Applied Soft Computing 30, pp. 265-278, 2015. [Online]
  6. Bandaru, S., Aslam, T., Ng, A.H.C. and Deb, K., "Generalized higher-level automated innovization with application to inventory management"European Journal of Operational Research 243(2), 480-496, 2015[Online]
  7. Deb, K., Bandaru, S., Greiner, D., Gaspar-Cunha, A. and Tutum, C.C., "An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering"Applied Soft Computing 15, pp. 42-56, 2014. [Online]
  8. Bandaru, S. and Deb, K., "Higher and lower-level knowledge discovery from Pareto-optimal sets"Journal of Global Optimization 57(2), pp. 281-298, 2013. [Online]
  9. Bandaru, S. and Deb, K., "Towards automating the discovery of certain innovative design principles through a clustering based optimization technique"Engineering Optimization 43(9), pp. 911-941, 2011. [Online]

Conferences

  1. Bandaru, S. and Ng, A.H.C., "An empirical comparison of metamodeling strategies in noisy environments"In Genetic and Evolutionary Computation Conference, GECCO 2018, pp. 817-824, Kyoto, Japan, July 15-19, 2018. [Best paper nomination] [Online]
  2. Bandaru, S., Andersson, M. and Ng, A.H.C., "Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs"In IEEE Congress on Evolutionary Computation, CEC 2016, pp. 1909-1916, Vancouver, Canada, July 24-29, 2016. [Online]
  3. Andersson, M., Bandaru, S. and Ng, A.H.C., "Towards optimal algorithmic parameters for simulation-based multi-objective optimization"In IEEE Congress on Evolutionary Computation, CEC 2016, pp. 5162-5169, Vancouver, Canada, July 24-29, 2016. [Online]
  4. Andersson, M., Bandaru, S. and Ng, A.H.C., "Tuning of multiple parameter sets in evolutionary algorithms"In Genetic and Evolutionary Computation Conference, GECCO 2016, pp. 533-540, Denver, USA, July 20-24, 2016. [Online]
  5. A.H.C., Ng, Bandaru, S. and Frantzén, M., "Innovative design and analysis of production systems by multi-objective optimization and data mining", 26th CIRP Design Conference (Procedia CIRP 50)pp. 665-671, Stockholm, Sweden, June 15-17, 2016. [Online]
  6. Bandaru, S. and Ng, A.H.C., "On the scalability of meta-models in simulation-based optimization of production systems", In Winter Simulation Conference, WSC 2015, pp. 3644-3655, Huntington Beach, CA, USA, December 6-9, 2015. [Online]
  7. Karlsson, I., Ng, A.H.C., Syberfeldt, A. and Bandaru, S., "An interactive decision support system using simulation-based optimization and data mining", In Winter Simulation Conference, WSC 2015, pp. 2112-2123, Huntington Beach, CA, USA, December 6-9, 2015. [Online]
  8. Andersson, M., Bandaru, S., Ng, A.H.C. and Syberfeldt, A., "Parameter tuned CMA-ES on the CEC’15 expensive problems"In IEEE Congress on Evolutionary Computation, CEC 2015, pp. 1950-1957, Sendai, Japan, May 25-28, 2015. [Online]
  9. Bandaru, S. and Deb, K., "Temporal innovization: Evolution of design principles using multi-objective optimization", In 8th International Conference on Evolutionary Multi-criterion Optimization, EMO 2015, pp. 79-93, Guimarães, Portugal, March 29-April 1, 2015. [Online]
  10. Andersson, M., Bandaru, S., Ng, A.H.C. and Syberfeldt, A., "Parameter tuning of MOEAs using a bilevel optimization approach", In 8th International Conference on Evolutionary Multi-criterion Optimization, EMO 2015, pp. 233-247, Guimarães, Portugal, March 29-April 1, 2015. [Online]
  11. Bandaru, S., Ng, A.H.C. and Deb, K., "On the performance of classification algorithms for learning Pareto-dominance relations", In IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1139-1146, Beijing, China, July 06-11, 2014. [Online]
  12. Dhebar, Y., Deb, K. and Bandaru, S."Non-uniform mapping in real-coded genetic algorithms", In IEEE Congress on Evolutionary Computation, CEC 2014, pp. 2237-2244, Beijing, China, July 06-11, 2014. [Online]
  13. Aslam, T., Ng, A.H.C. and Bandaru, S., "Multi-objective optimization and analysis of the inventory management model", In Summer Simulation Multi-Conference, Monterey, California, July 06-10, 2014. [Online]
  14. Bandaru, S. and Deb, K., "A dimensionally-aware genetic programming architecture for automated innovization", In 7th International Conference on Evolutionary Multi-criterion Optimization, EMO 2013, pp. 513-527, Sheffield, UK, March 19-22, 2013. [Online]
  15. Bandaru, S. and Deb, K., "A parameterless-niching-assisted bi-objective approach to multimodal optimization", In IEEE Congress on Evolutionary Computation, CEC 2013, pp. 95-102, Cancun, Mexico, July 20-23, 2014. [Online]
  16. Gaur, A., Bandaru, S., Khare, V., Chougule, R. and Deb, K., "Identification and impact assessment of high priority field failures in passenger vehicles using evolutionary optimization", In Seventh International Conference on Bio-Inspired Computing: Theories and Application, BIC-TA 2012, pp. 111-122, Gwalior, India, December 14-16, 2012. [Online]
  17. Deb, K., Bandaru, S. and Tutum, C.C., "Temporal evolution of design principles in engineering systems: Analogies with human evolution", In 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, pp. 1-10, Taormina, Italy, September 1-5, 2012. [Online]
  18. Deb, K. and Bandaru, S."Discovery of design principles using evolutionary multi-criterion optimization", In INFORMS 2011 Annual Meeting, INFORMS 2011, pp. 261, Charlotte, USA, November 13-16, 2011. (Abstract only)
  19. Bandaru, S. and Deb, K., "Design knowledge extraction in multi-objective optimization problems", In Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO 2011, pp. 787-790, Dublin, Ireland, July 12-16, 2011. [Online]
  20. Tulshyan, R., Bandaru, S., and Deb, K., "KKT proximity measure for testing convergence in smooth multi-objective optimization", In Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO 2011, pp. 93-94, Dublin, Ireland, July 12-16, 2011. [Online]
  21. Bandaru, S., Deb, K., Khare, V. and Chougule, R., "Quantitative modeling of customer perception from service data using evolutionary optimization", In Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO 2011, pp. 1763-1770, Dublin, Ireland, July 12-16, 2011. [Online]
  22. Bandaru, S., Tulshyan, R. and Deb, K., "Modified SBX and adaptive mutation for real world single objective optimization", In 2011 IEEE Congress on Evolutionary Computation, CEC 2011, pp. 1335-1342, New Orleans, LA, USA, June 5-8, 2011. [Online]
  23. Bandaru, S., Tutum, C.C. and Deb, K., "Higher-level innovization: A case study from friction stir welding process optimization", In 2011 IEEE Congress on Evolutionary Computation, CEC 2011, pp. 2782-2789, New Orleans, LA, USA, June 5-8, 2011. [Online]
  24. Deb, K. and Bandaru, S."Lower and higher-level knowledge discovery from Pareto-optimal sets", In 21st International Conference on Multiple Criteria Decision Making, MCDM 2011, pp. 81, Jyväskylä, Finland, June 13-17, 2011. [Awarded Best Oral Presentation] (Abstract only)
  25. Bandaru, S., Bittermann, M. and Deb, K., "Discovering design principles for soft multi-objective decision-making", In 21st International Conference on Multiple Criteria Decision Making, MCDM 2011, pp. 80, Jyväskylä, Finland, June 13-17, 2011. [Online]
  26. Bandaru, S. and Deb, K., "Automated innovization for simultaneous discovery of multiple rules in bi-objective problems", In 6th International Conference on Evolutionary Multi-criterion Optimization, EMO 2011, pp. 1-15, Ouro Preto, Brazil, April 5-8, 2011. [Online]
  27. Bandaru, S. and Deb, K., "Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design", In IEEE Congress on Evolutionary Computation, CEC 2010, pp. 1224-1231, Barcelona, Spain, July 18-23, 2010. [Online]
  28. Kodali, S.P., Deb, K., Bandaru, S., Munshi, P. and Kishore, N.N., "Simulation studies on a genetic algorithm based tomographic reconstruction using time-of-flight data from ultrasound transmission tomography", In Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, pp. 253-262, Kuopio, Finland, April 23-25, 2009. [Online]
  29. Kodali, S.P., Bandaru, S., Deb, K. and Munshi, P. and Kishore, N.N., "Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography", In Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO 2008, pp. 1705-1706, Atlanta, GA, USA, July 12-16, 2008. [Online]

Under review

 

Publikationer