Scientific Presentations and Talks

  1. (Invited) Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science: Steel Fatigue Strength Predictor, 5th NU-NIMS Materials Genome Workshop, March 28, 2017, Evanston IL, USA.

  2. CHiMaD Data Mining, CHiMaD Annual Meeting, March 27, 2017, Evanston IL, USA.

  3. (Invited) CHiMaD Data Mining: Fatigue, SRG 2017, March 23, 2017, Evanston IL, USA.

  4. Data Science Approaches for Predicting Fatigue Strength of Steels, TMS 2017, February 27, 2017, San Diego CA, USA.

  5. Data Science Approaches for Predicting Thermoelectric Properties, TMS 2017, February 27, 2017, San Diego CA, USA.

  6. Parallel Implementation of Lossy Data Compression for Temporal Data Sets, 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC), December 20, 2016, Hyderabad, India.

  7. Five Year Life Expectancy Calculator for Older Adults, IEEE International Conference on Data Mining (ICDM), December 13, 2016, Barcelona, Spain.

  8. A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining, IEEE International Conference on Data Mining (ICDM), December 13, 2016, Barcelona, Spain.

  9. Predicting the Outcome of Startups: Less Failure, More Success, IEEE ICDM Workshop on Data Market for Co-evolution of Sciences and Business (MoDAT), December 12, 2016, Barcelona, Spain.

  10. (Invited) Materials Informatics and Big Data: Realization of the “Fourth Paradigm” of Science in Materials Science, CHiMaD Summit on Data & Analytics for Materials Research, November 02, 2016, Evanston IL, USA.

  11. A Fatigue Strength Predictor for Steels Using Ensemble Data Mining, 25th ACM International Conference on Information and Knowledge Management (CIKM), October 26, 2016, Indianapolis IN, USA.

  12. (Invited) High Performance Data Mining: An Essential Paradigm for Big Data Analytics and Knowledge Discovery, 3M Visit, October 19, 2016, Evanston IL, USA.

  13. Identifying HotSpots in Five Year Survival Electronic Health Records of Older Adults, 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), October 13, 2016, Atlanta GA, USA.

  14. Software tools for sequence comparison, sequence mapping, and patient-specific healthcare outcome prediction, 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), October 05, 2016, Seattle WA, USA.

  15. Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science, International Conference on Fatigue Damage of Structural Materials (FATD), September 22, 2016, Hyannis MA, USA.

  16. CHiMaD Data Mining: An Update, CHiMaD Executive Meeting, September 12, 2016, Evanston IL, USA.

  17. Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science, Theory and Applications of Computational Chemistry (TACC), August 30, 2016, University of Washington, Seattle WA, USA.

  18. Deep Learning Based Big Data Analytics in Materials Science, MURI Annual Meeting, August 22, 2016, Caltech, Pasadena CA, USA.

  19. (Invited) Data-driven materials science enabling large-scale property prediction and optimization, APS/CNM Users Meeting 2016, May 10, 2016, Argonne National Lab, Chicago IL, USA.

  20. (Invited) High Performance Data Mining: An Essential Paradigm for Big Data Analytics and Knowledge Discovery, Invited seminar, May 05, 2016, Golden CO, USA.

  21. (Invited) Big data analytics in medicine and healthcare: Analyzing electronic healthcare records, sequence data, social media, and more, Outcomes Research Workshop, April 27, 2016, University of Chicago, Chicago IL, USA.

  22. CHiMaD Data Mining, CHiMaD Annual Meeting, March 23, 2016, Evanston IL, USA.

  23. (Invited) CHiMaD Data Mining: Fatigue, SRG 2016, March 21, 2016, Evanston IL, USA.

  24. (Invited) High Performance Data Mining: An Essential Paradigm for Big Data Analytics and Knowledge Discovery, Invited seminar, March 02, 2016, Auburn AL, USA.

  25. (Invited) Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design, TMS 2016, February 16, 2016, Nashville TN, USA.

  26. CHiMaD Data Mining: An Update, CHiMaD Executive Meeting, October 19, 2015, Evanston IL, USA.

  27. Parallel Distributed-Memory Based Community Detection for Large Graphs, DARPA GRAPHS / SIMPLEX Workshop: Data, Algorithms and Problems on Graphs (DAPG) 2015, September 28, 2015, New York, NY, USA. [video]

  28. (Invited) Big Data Analytics and Discovery in Medicine and Healthcare, NUS Surgical Faculty Visit, September 18, 2015, Chicago Innovation Exchange, Chicago IL, USA.

  29. Pruned Search: A Machine Learning Based Meta-Heuristic Approach for Constrained Continuous Optimization, 8th International Conference on Contemporary Computing (IC3) 2015, August 20, 2015, Noida, UP, India.

  30. All Your Google and Facebook Logins are Belong to Us: A Case for Single Sign-off, 8th International Conference on Contemporary Computing (IC3) 2015, August 20, 2015, Noida, UP, India.

  31. (Invited) Towards an Infrastructure for Materials Data Analytics: An Overview of Tools and Platforms for Code Development, Collaboration, and Data Analytics, Materials Research Collaboration Environment Workshop, August 13, 2015, Dayton OH, USA.

  32. Application of Machine Learning to Materials Discovery and Development, MURI 3-Year Review, June 23, 2015, Arlington VA, USA.

  33. Optimization of Microstructures in Magnetoelastic Alloys, MURI 3-Year Review, June 23, 2015, Arlington VA, USA.

  34. Mining of Process-Structure-Property Linkages Using Data Science Tools, MURI 3-Year Review, June 23, 2015, Arlington VA, USA.

  35. Towards Better Efficiency and Accuracy: Data Mining for Optimization and Prediction in Materials System Design, AFOSR Program Review, May 21, 2015, Arlington VA, USA.

  36. CHiMaD Data Mining, CHiMaD Annual Meeting, May 01, 2015, Evanston IL, USA.

  37. Data-driven Analytics for Materials Science: Realization of the Fourth Paradigm of Science, DARPA SIMPLEX Pre-Kickoff Meeting, April 14, 2015, Evanston IL, USA.

  38. (Invited) CHiMaD Data Mining: Fatigue, SRG 2015, March 23, 2015, Evanston IL, USA.

  39. (Invited) High Performance Data Mining: An Essential Paradigm for Big Data Analytics and Knowledge Discovery, Invited seminar, March 09, 2015, Lawrence, KS, USA.

  40. CHiMaD Data Mining, CHiMaD Executive Meeting, December 01, 2014, Evanston IL, USA.

  41. (Invited) High Performance Big Data Analytics for Data-Driven Discovery in Natural Sciences, GBMF Symposium, July 29, 2014, Palo Alto CA, USA.

  42. (Invited) CHiMaD Data Mining, MTL/SRG 2014, March 24, 2014, Evanston IL, USA.

  43. High Performance Big Data Clustering, SDAV All-Hands Meeting, February 25, 2013, Atlanta GA, USA.

  44. (Invited) An Overview of Essential Concepts in Data Mining, MURI Program Review, January 21, 2014, Dayton OH, USA.

  45. Multi-objective Optimization and Multimodal Prediction in the Design of Materials System, MURI Program Review, January 21, 2014, Dayton OH, USA.

  46. (Invited) Data-Driven Analytics and Discovery in Medicine and Healthcare, Research Mela, November 23, 2013, Rush Hospital, Chicago, USA.

  47. An Analysis of Variation in Hospital Billing Using Medicare Data, KDD Workshop on Data Mining for Healthcare (DMH), August 11, 2013, Chicago, USA.

  48. Heart Transplant Outcome Prediction using UNOS Data, KDD Workshop on Data Mining for Healthcare (DMH), August 11, 2013, Chicago, USA.

  49. Colon Surgery Outcome Prediction Using ACS NSQIP Data, KDD Workshop on Data Mining for Healthcare (DMH), August 11, 2013, Chicago, USA.

  50. High Performance Big Data Clustering, SDAV All-Hands Meeting, February 20, 2013, San Fransisco, USA.

  51. Parallel Hierarchical Clustering on Shared Memory Platforms, International Conference on High Performance Computing (HiPC), December 19, 2012, Pune, India.

  52. Data-driven Analytics and Applications - Realization of the Fourth Paradigm of Science, MURI Kickoff Meeting, October 19, 2012, Carnegie Mellon University, Pittsburgh, USA.

  53. Supporting Computational Data Model Representation with High-performance I/O in Parallel netCDF, International Conference on High Performance Computing (HiPC), December 19, 2011, Bangalore, India.

  54. Enhancing Parallelism of Pairwise Statistical Significance Estimation for Local Sequence Alignment, 2nd HiPC Workshop on Hybrid Multi-Core Computing, December 18, 2011, Bangalore, India.

  55. Identifying HotSpots in Lung Cancer Data Using Association Rule Mining, 2nd IEEE ICDM Workshop on Biological Data Mining and its Applications in Healthcare, BioDM 2011, December 11, 2011, Vancouver, Canada.

  56. Community Dynamics and Analysis of Decadal Trends in Climate Data, 3rd IEEE ICDM Workshop on Knowledge Discovery from Climate Data, ClimKD 2011, December 11, 2011, Vancouver, Canada.

  57. Derived Distribution Points Heuristic for Fast Pairwise Statistical Significance Estimation, ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB) 2010, August 03, 2010, Niagara, New York, USA.

  58. MPIPairwiseStatSig: Parallel Pairwise Statistical Significance Estimation of Local Sequence Alignment, HPDC ECMLS 2010, June 22, 2010, Chicago, Illinois, USA.

  59. Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance, IEEE International Conference on Information Technology (ICIT 2008), December 20, 2008, Bhubaneswar, India.

  60. Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio Using Multiple Parameter Sets, IEEE International Conference on Information Technology (ICIT 2008), December 20, 2008, Bhubaneswar, India.

  61. Conservative, Non-Conservative and Average Pairwise Statistical Significance of Local Sequence Alignment, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2008), November 5, 2008, Philadelphia, PA, USA.

  62. Pairwise Statistical Significance of Local Sequence Alignment Using Multiple Parameter Sets, 2nd International Workshop on Data and Text Mining in Bioinformatics (DTMBIO 2008), October 30, 2008, Napa Valley, CA, USA.

  63. DNAlignTT: Pairwise DNA Alignment with Sequence Specific Transition-Transversion Ratio, IEEE International Conference on EIT 2008, May 21, 2008, Ames, IA, USA.

  64. Pairwise Statistical Significance Versus Database Statistical Significance for Local Alignment of Protein Sequences, International Symposium on Bioinformatics Research and Applications (ISBRA 2008), May 7, 2008, Atlanta, GA, USA.

  65. Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition, International Symposium on Bioinformatics Research and Applications (ISBRA 2008), May 7, 2008, Atlanta, GA, USA.

  66. Identifying Temporal Gene Networks Using Signal Processing Metrics on Time-Series Gene Expression Data, IEEE Third International Conference on Intelligent Sensing and Information Processing, December 14, 2005, Bangalore, India.

  67. Identifying Temporal Gene Networks by Mining Gene Expression Data, IEEE 12th International Conference on Advanced Computing and Communications (ADCOM) 2004, December 17, 2004, Ahmedabad, India.