Research Publications

1. A. K. Bansal and R. M. K. Sinha, Some Aspects of Pronoun Disambiguation using Real World Knowledge, with R. M. K. Sinha, Proceedings of the Computer Society of India, Hyderabad, India, (1984), c 2.6.1 - c 2.6.4.

2. A. K. Bansal and L. Sterling, AND-parallelism and Stream-parallelism in Logic Programs, Proceedings of the Workshop on Future Trends in Logic Programming , Austin, Texas, USA, (1987).

3. A. K. Bansal and L. Sterling, "Source-to-source Transformation of Sequential Logic Programs to And-parallelism," Proceedings of the International Conference on Parallel Processing, St. Charles, Illinois, USA, (1987), 795 - 802

4. A. K. Bansal and L. Sterling, ``Compiling Enumerate-and-filter programs for Efficient Execution Under Committed-choice AND-parallelism", International Conference on Parallel Processing, St. Charles, Illinois, USA, August 1988, pp. 22-25.

5. A. K. Bansal and L. Sterling, ``A Scheme for Abstract Interpretation of Logic Programs Based on Type Expression", International Conference on Fifth Generation Computer Systems, Tokyo, Japan, November 1988, pp. 422-429.

6. A. K. Bansal and L. Sterling,``Transforming Generate-and-test Logic Programs to Committed-choice And-parallelism" International Journal of Parallel Programming, Volume 18, No. 5, 1989, pp. 401-446.

7. A. K. Bansal and L. Sterling, `` An Abstract Interpretation Scheme for Identifying Inherent Parallelism in Logic Programs" New Generation Computing , Volume 7, No. 2 & 3, 1990, pp. 273-324.

8. A. K. Bansal and J. Potter, `` Exploiting Data Parallelism for Efficient Execution of Logic Programs with Large Knowledge Bases", Proceedings of the International Conference of Tools for Artificial Intelligence , Washington D. C., USA, 1990, pp. 674 - 681

9. A. K. Bansal and D. Poduval, Applying Abstract Interpretation to Identify Vectorizable Numerical Code in Logic Programs, Proceedings of the International Workshop on Compilation of Symbolic Languages for Parallel Computers, San Diego, USA, (1991), 108 - 110.

10. A. K. Bansal and D. Poduval, `` Static Analysis to Identify Vectorizable Numerical Domain in Logic Programs for Efficient Execution of Scientific Expert Systems", Proceedings of the Third Scanadinavian Conference on Artificial Intelligence, Denmark, 1991, pp. 193 - 204.

11. A. K. Bansal, J. Potter, and L. Prasad, `` Data Parallel Compilation and Extending Query Power of Large Knowledge Bases", International Conference of Tools with Artificial Intelligence, 1992, pp. 276-283.

12. A. K. Bansal and J. Potter, `` An Associative Model for Minimizing Matching and Backtracking Overhead in Logic Programs with Large Knowledge Bases", Engineering Applications of Artificial Intelligence , Volume 5, Number 3, 1992, Permagon Press, pp. 247-262.

13. A. K. Bansal and J. Potter, `` Associative Prolog", in Associative Computing, Plenum publishers, 1992, pp. 213 - 242.

14. A. K. Bansal and J. Potter, ``A Data Parallel Shell for Large Knowledge Bases", in Knowledge Engineering Shells: Systems and Techniques, Voulme 2}, Ed. Nik Bourbakis, World Scientific Publishers, pp. 399 - 430.

15. A. K. Bansal, "Towards a Formal Computational Model for Associative Logic Programming," Proceedings of the International Workshop on Data Parallel Implementation of Declarative Languages, Genoa, Italy, (1994), pp. 11 - 20.

16. A. K. Bansal, ``An Associative Model to Integrate Knoweledge Retrieval and Data Parallel Computation" , International Journal on Artificial Intelligence Tools, Volume 3, Number 1, 1994, pp. 97-125.

17. A. K. Bansal, L. Prasad, and M. Ghandhikota, ``A Formal Associative Model of Logic Programming and its Abstract Instruction Set," International Conference of Tools with Artificial Intelligence, November 1994, pp. 145-151.

18. J. Potter, J. Baker, A. K. Bansal, S. Scott, C. Asthagiri, ``ASC: An Associative-Computing Paradigm," IEEE Computer, Vol. 27, No. 11, 1994, pp. 19-25, also available as a book chapter in in Associative Processing and Processors, eds. Krikelei and Weems, IEEE Computer Society Press, 1997, pp. 188-194

19. A. K. Bansal, ``Establishing a Framework for Comparative Analysis of Genome Sequences", International Symposium on Intelligent Systems for Neural and Biological Systems, Herndon, Virginia, USA, 1995, pp. 84-91.

20. A. K. Bansal, ``A Framework for Heterogeneous Associative Logic Programming," International Journal for Tools for Artificial Intelligence , 1995, Vol. 4, Nos. 1 & 2, pp. 33-53

21. A. K. Bansal, P. Bork, and P. Stuckey, A Framework for Comparative Analysis of Complete Prokaryotic Genome Sequences, International Conference on Mathematical and Scientific Computing, 1997, pp. 52

22. A. K. Bansal, K. RammohanaRao, A. Rao, "A Distributed Storage Scheme for Replicated Beliefs to Facilitate Recovery in Distributed System of Cooperating Agents," Fourth International Workshop on Agent Theory, Architecture, and Languages, 1997, pp. 71 - 84, also in Intelligent Agents IV: Agent Theories, Architectures and Languages, Vol. 1365, Springer Verlag Series, 1998, pp. 77 - 91.

23. S. Ryan and A. K. Bansal, "A Scalable Distributed Heterogeneous Associative Logic Programming System," Proceedings of the International Conference for Tools with Artificial Intelligence, November 1997, pp. 37 - 44.

24. A. K. Bansal, P. Bork, P. Stuckey, ``Automated Pair-wise Comparisons of Complete Microbial Genomes", Mathematical Modeling and Scientific Computing , Vol. 9, Issue 1, 1998, pp. 1 - 23

25. A. K. Bansal, "An Associative Data Parallel Compilation Model for Tight Integration of High Performance Knowledge Retrieval and Computation,", Artificial Intelligence and Automation, Advanced Series on Artificial Intelligence - Vol. 3, ed. Nikolas G. Bourbakis, publisher: World Scientific, ISBN: 981-02-2637-3, pp. 256-283.

26. A. Vitreschak, A. K. Bansal, M. S. Gelfand, "Conserved RNA structures regulate initiation of translation of Escerichia coli and Haemophilus influenzae ribosomal protein operons," Abstract of International School on Theoritical Biophysics , Moscow, June 1998, pp. 105, (abstract)

27. A. Vitreschak, A. K. Bansal, M. S. Gelfand, "Conserved RNA structures regulate initiation of translation of Escerichia coli and Haemophilus influenzae ribosomal protein operons," Abstract of First International Conference on Bioinformatics of Genome Regulation and Structure, August 1998, pp. 229, (abstract)

28. A. K. Bansal and P. Bork, "Applying Logic Programming to Derive Novel Functional Information in Microbial Genomes," Proceedings of the First International Workshop on Practical Aspects of Declarative Languages , January 1999, Lecture Notes in Computer Science, Publisher: Springer Verlag, No. 1551, pp. 274 - 289.

29. S. W. Ryan and A. K. Bansal, "Applying Java for the Retrieval of Multimedia Knowledge Distributed on High Performance Clusters on the Internet," Proceedings of the International Conference on Practical Applications of Java , London, UK, April 1999, pp. 193-203

30. S. W. Ryan and A. K. Bansal, "A Scalable Distributed Associative Multimedia Knowledge Base System for the Internet", Proceedings of the 8th International Conference on Intelligent Systems , Denver, Colarado, 1999, pp. 1-6

31. V. Anderson and A. K. Bansal, "A Distributed Scheme for Efficient Pairwise Complete Genome Comparison," Proceedings of the International Conference of Information, Intelligence and Systems, Washington D. C., November 1999, pp. 48-55

32. A. Vitreschak, A. K. Bansal, I. I. Titov, M. S. Gelfand, "Conserved RNA structures regulate initiation of translation of Escerichia coli and Haemophilus influenzae ribosomal protein operons," "Biofizika", 44:4 (1999) 601-610, selected for full paper from the abstract presentation in BGRS'98.

33. Arvind K. Bansal, " An Automated Comparative Analysis of Seventeen Complete Microbial Genomes," Proceedings of the Second International Georgia Tech Conference" (1999) pp. 36-37, abstract, accessed on July 17, 2004

34. Arvind K. Bansal, "An Automated Comparative Analysis of Seventeen Complete Microbial Genomes," Bioinformatics , Volume 15, Issue 11 (1999) pp. 900 - 908, downloadable version in PDF, selected for full paper from Second International Georgia Tech Conference abstract presentation in July 1999.

35. S. W. Ryan and A. K. Bansal, "A Scalable Distributed Multimedia Knowledge Retrieval System on a Cluster of Heterogeneous Architectures over the Internet," The International Journal for Tools with Artificial Intelligence, 9:3 (2000), 343 - 367.

36. A. K. Bansal, "A Framework of Automated Reconstruction of Microbial Metabolic Pathways," IEEE International Symposium on Bioinformatics and Biomedical Engineering , Washington, November 2000, pp. 184 - 191

37. S. W. Ryan, A. K. Bansal, T. Kapoor, "A Distributed Multimedia Knowledge Based Environment for Modeling over the Internet," Proceedings of the International Conference for Tools with Artificial Intelligence, November 2000, pp. 140-146

38. A. K. Bansal, T. Kapoor, and R. Pathak, "Extending XML for Graph Based Visualization of Complex Objects and Animation Over the Internet," Proceedings of the Second International Conference on Internet Computing, Las Vegas, June 2001, pp. 750 - 756.

39. A. K. Bansal, "Integrating Co-regulated Gene-groups and Pair-wise Genome Comparisons to Automate Reconstruction of Microbial Pathways," IEEE International Symposium on Bioinformatics and Biomedical Engineering , Washington, November 2001, pp. 209-216

40. A. K. Bansal and T. E. Meyer, "Evolutionary Analysis by Whole Genome Comparisons," Journal of Bacteriology, Volume 184, No. 8, April 2002, 2260-2272

41. A. K. Bansal and C. J. Woolverton, , "Applying Automatically Derived Gene-groups to Automatically Predict and Refine Microbial Pathways," IEEE Transactions of Knowledge and Data Engineering, Volume 15, Number 4, July/August 2003, 12 pages, pp. 883-894

42. A. K. Bansal and R. Pathak, "A Server Coordinated Predictive Buffer Management Scheme to Reduce Bandwidth Requirement for Synthetic Multimedia Movies over the Internet," Post-proceedings of the Fourth International Conference on Internet Computing, Las Vegas, 2003, Volume II, pp. 831-837

43. A. K. Bansal and R. Pathak, "Transmitting High Quality Archived Object-based Movies with Reduced Bandwidth Requirement," Proceedings of the 2nd IASTEAD International Conference COMMMUNICATIONS, INTERNET, & INFORMATION TECHNOLOGY, Scottsdale, Arizona, November 2003, pp. 553-560

44. B. Simoes and Arvind K. Bansal, "Interactive 3D Dynamic Object Based Movies," Proceedings of the Fifth International Conference on Internet Computing, Las Vegas, 2004, Vol. II, pp. 708-714

45. A. Guercio and A. K. Bansal, "A Model for Integrating Deterministic and Asynchronous Events in Reactive Multimedia Internet Based Languages," Proceedings of the Fifth International Conference on Internet Computing, Las Vegas, 2004, Vol. I, pp. 46-52

46. B. Simoes and A. K. Bansal, "Voice Based Interactive Modification of Web Based Movies," Proceedings of the IASTED International Conference of Internet and Multimedia Systems and Applications , Hawaii, 2004, pp. 53-58.

47. A. K. Bansal and S. Uddin, "Multimodal Triggers for Automated Filtering and Reactivity based on WWW Content," Proceedings of the IASTED International Conference of Internet and Multimedia Systems and Applications, Hawaii, 2004, pp. 311-316.

48. A. Guercio and A. K. Bansal, "TANDEM - Transmitting Asynchronous Non Deterministic and Deterministic Events in Multimedia Systems over the Internet," Proceedings of the International Conference on Distributed Multimedia Systems, September 2004, San Francisco, CA, USA, pp. 57-62

49. A. Guercio, B. Simoes, and A. K. Bansal, "Towards Large Scale Voice Activated Dynamic and Interactive Internet Based Animation AND Modeling," Proceedings of the IASTED International Conference on Software Engineering and Applications (SEA 2004), Cambridge, Massachussets, 2004, pp. 749-754

50. A. K. Bansal, "Exploiting Systemic Biological Modeling for Trigger Based Adaptation in Networked Intelligent Multi-Agent Systems," Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), Boca Raton, USA, Nov. 2004, pp. 761-768.

51. A. K. Bansal, Bioinformatics in microbial biotechnology - a mini review, Microbialcell Factories 2005, 4:19, published June 28, 2005, available on http://www.microbialcellfactories.com/content/pdf/1475-2859-4-19.pdf"

52. T. E. Meyer and A. K. Bansal, "Elevated CG Content in Hyperthermophile can Resolve Evolutionary Discrepancies between Analysis using Whole Genome Comparisons and 16SrRNA," Biochemistry , August 2005; 44(34) pp 11458 - 11465

53. A. Guercio, A. K. Bansal, T. Arndt, "Synchronization in Distributed Multimedia Systems," Proceedings of the International Conference on Distributed Multimedia Systems, 2005, Baniff, Canada, pp. 34-39

54. A. Bansal, "Incorporating Fault Tolerance in Distributed Agent Based Systems by Simulating Biocomputing Model of Stress Pathways," SPIE Defence and Security Symposium , Orlando, Florida, April 2006, Vol. 6201, pp. 620108-01 - 62010810

55. A. K. Bansal and Y. Hijazi, "Low Bandwidth Video Conversation Using Anatomical Reconstruction of Facial Expressions Over the Internet", IADIS International Conference on WWW/Internet, October 2006, Murcia, Spain, pp. 154-161

56. A. Guercio and A. K. Bansal, "Towards a Formal Semantics of Distributed Multimedia Computing", Proceedings of the International Conference on Distributed Multimedia Systems, September 2007, San Francisco, USA, pp. 81-86

57. A. Guercio, A. K. Bansal, and T. Arndt, "Language Constructs and Synchronization in Reactive Multimedia Systems," ISAST Transactions on Computers and Software Engineering, No. 1, Volume 1, November 2007, pp. 52-59

58. Arvind K. Bansal, "Role of Bioinformatics in the Development of Anti-infective Therapy," Expert Review of Antiinfective Therapy , Volume 6, Issue 1, Feb 2008, pp. 51-65.

59. Mehdi Ghayoumi and Arvind K. Bansal, "An Integrated Approach for Efficient Analysis of Facial Expressions, " 11th International Conference of Signal Processing and Multimedia Applications, Vienna, Austria, August 2014, pp. 211-219.

60. M. Ghayoumi and A. K. Bansal, Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis, Proceedings of the International Conference on Circuits, Systems, Signal Processing, Communications and Computers (CSSCC 15), Recent Advances in Electrical Engineering Series, ISBN: 978-1-61804-285-9 , Vienna, Austria, March 2015, pp. 259-266

61. P. R. Gawde, A. K. Bansal, and J. Nielson, "Applying Markov Model for Automated Classification of Supraventricular Dysrhythmia," International Conference on Health Informatics and Medical Systems (HIMS), Eds: H. R. Arabnia and L. Deligiannidid, Las Vegas, July 2015, pp. 10-16.

62. M. Thafar and A. K. Bansal, “An Abstract Model of Multimodal Fusion Using Fuzzy Sets to Derive Interactive Emotions,” International Conference of Artificial Intelligence (ICAI'16), Las Vegas, July 2016, pp. 258-264

63. S. Aljehane and A. K. Bansal, “Distributed Objects Based Programming Constructs for PGAS Based High Performance C++,” Proceedings of the 22nd International Conference on Parallel and Distributed Processing Techniques and Applications PDPTA'16), Las Vegas, 2016, pp. 24-30.

64. M. Ghayoumi and A. Bansal, "Real Emotion Recognition Algorithm by Detecting Symmetry Patterns with Dihedral Group," Proceedings of the 3rd International Conference on Mathematics and Computers in Science and Industry, Greece, August 2016.

65. M. Ghayoumi and A. Bansal, "Emotion in Robot using Convolutional Neural Networks.", 8^th Proceedings of the International Conference on Social Robotics (ICSR 2016), Kansas City, USA, Known citations: 7, LNAI 9979, Springer Verlag, November 2016, pp. 285-295.

66. M. Ghayoumi, M. Thafar, A. K. Bansal" Towards Formal Multimodal Analysis of Emotions for Affective Computing, " International Conference on Distributed Multimedia Systems, Salerno, Italy, Nov. 2016, pp. 48-54.

67. M. Ghayoumi and A. K. Bansal, “Architecture of Emotion in Robots Using Convolutional Neural Networks”, International Conference in Robotic Science and Systems, University of Michigan, Dearborn, USA, Nov. 2016

68. M. Ghayoumi, M. Thafar, A. Bansal, “A Formal Approach for Multimodal Integration to Derive Emotions,” Journal of Visual Languages and Sentient Systems, Vol. 2, 2016, pp. 48-54.

69. M. Ghayoumi and Arvind K. Bansal, “Multimodal Architecture for Emotion in Robots Using Deep Learning”, Future Technologies Conference, San Francisco, CA, USA, December 2016, pp. 901-907

70. P. R. Gawde, A. K. Bansal, and J. Nielson, “Integrating Markov Model and Morphology Analysis for Automated Finer Classification of Ventricular Arrhythmia in Real Time,” IEEE International Conference in Biomedical and Health Informatics, Orlando, Florida, USA, February 2017, pp. 409 - 412,

71. M. Ghayoumi, A. K. Bansal, “Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group,” International Journal of advanced studies in Computer Science and Engineering, Vol 6 Issue 01, pp.25-33, 2017, (arXiv:1706.07757v1 [cs.CV]

72. P. R. Gawde, A. K. Bansal, J. Nielson and J. Khan, “Bivariate Markov Model Based Analysis of ECG for Accurate Identification and Classification of Premature Heartbeats and Irregular Beat Patterns,” IEEE International Conference on Intelligent Systems (Intellisys), London, UK, 6-7 September 2018, pp. 850-859, (Acceptance rate 30%), Also available as part of Book Series Intelligent Systems and Applications (AISC), K. Arai et. el. (Editors), Vol. 869, 2019, Springer, Cham, pp. 265-285, DOI: 10.1007/978-3-030-01057-7_22.

73. A. Singh and A. K. Bansal, “Towards Modeling Gestures for Non-Emotional Conversational Interaction by Humanoid Robots,” International Conference on Computer Applications in Industry and Engineering, New Orleans, USA, 8-10 October 2018, pp. 59-64, finalist for best paper award.

74. Purva R. Gawde, Arvind K. Bansal and J. Nielson “Integrating Markov Model, Bivariate Gaussian Distribution and GPU based Parallelism for Accurate Real-time Diagnosis of Arrhythmia Subclasses,” IEEE Future Technologies Conference (FTC), Vancouver, BC, Canada, 13-14, November 2018, available as Book Series Intelligent Systems and Applications (AISC), K. Arai et. el. (Editors), Vol. 880, 2019, Springer, Cham, pp. 569-588, DOI: /10.1007/978-3-030-02686-8.

75. A. Singh and A. K. Bansal, “A Declarative Model and an Inference Engine to Generate Non-emotional Head-based Conversational Gestures for Human-humanoid Interactions,” accepted for publication, International Journal of Computers and Their Applications, Vol. 26, No. 2, June 2019, pp. 49-66.

76. A. Singh and A. K. Bansal, “Towards Synchronous Model of Non-Emotional Conversational Gesture Generation in Humanoids, Computing Conference, London, UK, July 16-18, 2021, available as Book Chapter in Intelligent Computing: Lecture Notes in Networks and Systems Series, K. Arai et. el. (Editor), Vol. 283(1), 2021, Springer, Cham, Switzerland, pp. 737-756.

77. Arvind K. Bansal and Mehdi Ghayoumi, “A Hybrid Model to Improve Occluded Facial Expressions Prediction in the Wild during Conversational Head Movements,” The Tenth International Conference on Intelligent Systems and Applications (INTELLI 2021), 18-22 July 2021, Nice, France, pp. pp. 36-42, Best Paper award, available at https://www.iaria.org/ conferences2021/filesINTELLI21/INTELLI_60021.pdf

78. Arvind K. Bansal and Mehdi Ghayoumi, “A Symmetry-based Hybrid Model to Improve Occluded Facial Expressions Prediction in the Wild during Conversational Head Movements,” The International Journal on Advances in Life Sciences, v 13 n 1&2, December 2021, pp. 65-74, available at https://www.iariajournals.org/life_sciences/lifsci_v13_n12_2021_paged.pdf.

79. A. Singh and A. K. Bansal, “Automated Real Time Recognition of Non-emotional Conversational Head Gestufor Social Robots,” In: Proceedings of the Future Technology Conference (FTC 2022), October 2022, Vancouver, Canada, Vol. 3, available as Lecture Notes in Networks and Systems, Vol. 561, Springer Verlag, pp. 432-450, doi: 10.1007/978-3-031-18344-7_29.

80. Arvind K. Bansal and Racheal Mukisa, “Applying Deep Learning Techniques in Automated Analysis of Echocardiograms, CMRs and Phonocardiograms for the Detection and Localization of Cardiac Diseases, In: Proceedings of the International Conference on Artificial Intelligence and Applications (IARIA 2022), Venice (and Virtual), Italy, July 2022, pp. 36-42, ISBN: 978-1-61208-977-5, Best paper award, available at https://www.thinkmind.org/articles/intelli_2022_1_ 70_60033.pdf

81. B. Bellamo. H. Piontkivska and A. K. Bansal, “Variations of miRNA Target Sites in Human Genome,” in: Proceedings of the International Conference of Bioinformatics and Computational Biology (BICoB 2022), Epic Series in Computing, Vol. 83, 2022, pp. 96-107, available at https://easychair.org/publications/paper/sqS7.

82. A. Singh and A. K. Bansal, “Synchronized Colored Petri Net based Multimodal Modeling and Real-time Recognition of Conversational Spatial Deictic Gestures, Proceedings of the Computing Conference, June 2023, London, UK, vol. 2, available as Lecture Notes in Networks and Systems, Vol. 739, Springer Nature, Cham, Switzerland, pp. 1227-1246, doi: 10.1007/978-3-031-37963-5.

83. A. Singh and A. K. Bansal, “An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human-Robot Interaction,” In: Daimi, K., Alsadoon, A., Coelho, L. (eds), Cutting Edge Applications of Computational Intelligence Tools and Techniques, Studies in Computational Intelligence, vol. 1118, pp. 33-61, Springer Nature, Cham, Switzerland, 2024, https://doi.org/10.1007/978-3-031-44127-1_3.

84. A. Singh and A. K. Bansal, “An Integrated Analysis to Identify Iconic Gestures in Human-Robot Interactions,” IEEE International Conference on Intelligent Systems (Intellisys), Amsterdam, Netherlands, Sept. 2023, Lecture Notes in Networks and Systems, vol. 822, Springer, Chams, Switzerland, to appear, Feb. 2024.

85. Neha and A. Bansal, “A novel DenseSIFT U-NET based approach to perform Kidney Tumor semantic segmentation”, Proceedings of IEEE 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), Wardha, Maharashtra, India, November 2023, in press.

86. R. Mukisa and A. K. Bansal, “Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning,” Accepted for publication and presentation, Computing Conference, London, UK, July 2024, in press.