Reference for bibliographic information, click DBLP

Articles in Refereed Journals

  1. Aryya Gangopadhyay, Michael Morris, Babak Saboury, Eliot L. Siegel, Yelena Yesha: IDIOMS: Infectious Disease Imaging Outbreak Monitoring System. Digit. Gov. Res. Pract.2(1): 15:1-15:5 (2021)

  2. Jangho Lee, Yingxi Rona Shi, Changjie Cai, Pubu Ciren, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang: Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. Remote. Sens. 13(3): 456 (2021)

  3. Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay: Flood Detection using Semantic Segmentation and Multimodal Data Fusion. PerCom Workshops 2021: 135-140

  4. Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen: Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. CoRR abs/2104.02060 (2021)

  5. Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris: Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. IEEE BigData 2020: 1216-1225

  6. Manzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang: Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. IEEE BigData 2020: 1745-1754

  7. Soumyajit Chatterjee, Avijoy Chakma, Aryya Gangopadhyay, Nirmalya Roy, Bivas Mitra, Sandip Chakraborty: LASO: Exploiting Locomotive and Acoustic Signatures over the Edge to Annotate IMU Data for Human Activity Recognition. ICMI 2020: 333-342

  8. Bipendra Basnyat, Neha Singh, Nirmalya Roy, Aryya Gangopadhyay: Vision Powered Conversational AI for Easy Human Dialogue Systems. MASS 2020: 684-692

  9. Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik: AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment.MobiQuitous 2020: 184-195

  10. Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay: Towards AI Conversing: FloodBot using Deep Learning Model Stacks. SMARTCOMP 2020: 33-40

  11. Ping Hou, Pei Guo, Peng Wu, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang: A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. SMARTCOMP 2020: 196-201

  12. Neha Singh, Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay: Flood Detection Framework Fusing The Physical Sensing & Social Sensing. SMARTCOMP 2020: 374-379

  13. Bipendra Basnyat, Neha Singh, Nirmalya Roy, Aryya Gangopadhyay: Design and Deployment of a Flash Flood Monitoring IoT: Challenges and Opportunities. SMARTCOMP 2020: 422-427

  14. Neha Singh, Nirmalya Roy, Aryya Gangopadhyay: Localized Flood DetectionWith Minimal Labeled Social Media Data Using Transfer Learning. CoRR abs/2003.04973 (2020)

  15. Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik: AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment. CoRR abs/2003.07492 (2020)

  16. Sumeet Menon, Joshua Galita, David R. Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris: Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. CoRR abs/2009.12478 (2020)

  17. Singh, N., Roy, N. Gangopadhyay, A. “Analyzing the Emotions of Crowd for Improving the Emergency Response Services”, Pervasive and Mobile Computing, (58), 2019.

  18. Karami, A., Gangopadhyay, A., Zhou, B., and Kharrazi, H. “Fuzzy Approach Topic Discovery in Health and Medical Corpora,” International Journal of Fuzzy Systems, 20(4): 1334-1345 (2018).

  19. Aleroud, A. and Gangopadhyay, A. “Multimode co-clustering for analyzing terrorist networks”, Information Systems Frontiers, 20(5): 1053-1074 (2018).

  20. Ahluwalia, M., Gangopadhyay, A., Chen, Z, Yesha, Y. “Target-Based, Privacy Pre- serving, and Incremental Association Rule Mining,” IEEE Transactions on Services Computing, 10(4): 633-645, 2017.

  21. Alam, M., Roy, N., Gangopadhyay, A., Galik, E. “A smart segmentation technique to- wards improved infrequent non-speech gestural activity recognition model,” Pervasive and Mobile Computing, 34: 25-45, 2017.

  22. Asduaij, S., Chen. Z., and Gangopadhyay, A. “Using Crowd Sourcing to Analyze Consumers’ Response to Privacy Policies of Online Social Network and Financial In- stitutions at Micro Level,” International Journal of Information Security and Privacy, 10(2): 41-63, 2016.

  23. Shi, L., Gangopadhyay, A., and Janeja, V. “STenSr: Spatio - temporal Tensor Streams for Fast Anomaly Detection,” KAIS, Knowledge and Information Systems, 43(2): 333- 353, 2015.

  24. Dey, S. Janeja, V. and Gangopadhyay, A.”Discovery of Temporal Neighborhoods through Discretization Methods,” Intelligent Data Analysis, 18(4): 609-636, 2014.

  25. Bachore, A., Gangopadhyay, A., Yesha, Y., Joshi, A., Yesha Y., Brady, M., Grasso, M., and Rishe, N. “Integrating Domain Knowledge in Supervised Machine Learning to Assess the risk of Breast Cancer,” International Journal of Medical Engineering and Informatics, 6(2): 87-99, 2014.

  26. Gal, T., Tucker, T., Chen, Z., and Gangopadhyay, A. “A Data Recipient Centered De-identification Method to Retain Statistical Attributes”, Journal of Biomedical In- formatics, 50: 32-45, 2014.

  27. McGuire, M., Janeja, V., Gangopadhyay, A. “Mining Trajectories of Moving Dynamic Spatio-Temporal Regions in Sensor Datasets”, Data Mining and Knowledge Discovery, 28(4): 961-1003, 2014.

  28. Banerjee, M., Chen, Z., Gangopadhyay, A. “A generic and distributed privacy pre- serving classification method with a worst-case privacy guarantee”, Distributed and Parallel Databases Journal, 32(1): 5-35, 2014.

  29. McGuire, M., Janeja, V., Gangopadhyay, A.” Mining sensor datasets with spatiotem- poral neighborhoods”, Journal of Spatial Information Science, 6(1): 1-42 (2013)

  30. Kim, D., Chen, Z., and Gangopadhyay, A. “Optimizing Privacy-Accuracy Tradeoff for Privacy Preserving Distance-Based Classification,” International Journal of Informa- tion Security and Privacy, 6(2): 16-33, April-June 2012.

  31. Janeja, V., Gangopadhyay, A., Mohammadi, S., and Palanisamy, R. ”Discovery of Anomalous Spatio-Temporal Windows using Discretized Spatio-Temporal Scan Statis- tics (DSTS)”, Statistical Analysis and Data Mining, 4(3): 276-300, 2011.

  32. Chaovalit, P., Gangopadhyay, A., Karabatis, G., and Chen, Z. “Discrete Wavelet Tra- National Science Foundationorm-based Time Series Analysis and Mining,” ACM Com- puting Surveys, 43(2), 1-37, January 2011.

  33. Fu, Y., Chen, Z. Koru, G., and Gangopadhyay, A. ”A Privacy Protection Technique for Publishing Data Mining Models and Research Data”, ACM Transactions on Man- agement Information Systems,1(1), 1-20, December 2010.

  34. Joshi, A., Gangopadhyay, A., Banerjee, M., Baffoe-Bonnie, G., Mohanlal, V. L., and Wali,, R. K. “A Clustering Method to Study the Loss of Kidney Function Follow- ing Kidney Transplantation”, International Journal on Biomedical Engineering and Technology, special issue on Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment, Vol. 3, Nos. 1/2,64-82, 2010.

  35. Engle, K. and Gangopadhyay, A. “An Efficient Method for Discretizing Continuous Attributes,” International Journal of Data Warehousing and Mining, Vol 6, No 2, 1-21, 2010.

  36. Mukherjee, S., Gangopadhyay, A., Chen, Z. “A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining,” International Journal of Computational Models and Algorithms in Medicine (IJCMAM),Vol. 1 no. 1, 19-33, 2010.

  37. Ahluwalia, M., Gangopadhyay, A., and Chen, Z. “A Wavelet-based Approach for Pre- serving Privacy in Mining Association Rules,” International Journal of Information Security and Privacy, Vol. 3, No. 4, 1-17, 2009.

  38. McGuire, M., Gangopadhyay, A., Komlodi, A., and Swan, C. “A User-centered De- sign for a Spatial Data Warehouse for Data Exploration in Environmental Research”, Ecological Informatics, 3, 273-285, 2008.

  39. Kumar, N., Gangopadhyay, A., Karabatis, G. Bapna, S. and Chen, Z. “Measuring Interestingness of Discovered Skewed Patterns in Data Cubes”, Decision Support Sys- tems, 46, 429-439, 2008.

  40. Russell, S., Gangopadhyay, A., and Yoon, V. “Assisting Decision Making in the Event- driven Enterprise using Wavelets,” Decision Support Systems, 46, 14-28, 2008.

  41. Gal, T., Chen, Z., Gangopadhyay, A. “A Privacy Protection Model for Patient Data with Multiple Sensitive Attributes”, International Journal of Information Security and Privacy. 2(3) pp. 28-44, 2008.

  42. Mukherjee, S., Zhiyuan Chen, Gangopadhyay, A., A Privacy Preserving Technique for Distance-based Classification with Worst Case Privacy Guarantees. Data & Knowledge Engineering. 66, pp. 264-288, 2008.

  43. Mukherjee, S., Chen, Z. and Gangopadhyay, A. “A fuzzy programming approach for data reduction and privacy in distance-based mining”, Int. J. Information and Com- puter Security, Vol. 2, No. 1, pp.27?47, 2008.

  44. Kumar, N., Gangopadhyay, A., Karabatis, G. “Supporting Mobile Decision Making with Association Rules and Multi-layered Caching,” Decision Support Systems, 43(1): 16-30, 2007.

  45. Sikder, I. and Gangopadhyay, A. “Managing Uncertainty in Location Services Using Rough Set and Evidence Theory”, Expert Systems with Applications, 32(2): 386-396, 2007.

  46. Chen, Z., Gangopadhyay, A., Karabatis, G., McGuire, M., and Welty, C. “Seman- tic Integration and Pattern Discovery for Environmental Data,” Journal of Database Management, 18(1): 43-67, January-March 2007.

  47. Chen, Z., Gangopadhyay, A., Karabatis, G., Holden, S., and McGuire, M. “Semantic Integration of Government Data for Water Quality Management,” Government Infor- mation Quarterly, 24: 716-735, 2007.

  48. Bapna, S. and Gangopadhyay, A. “A Wavelet-based Approach to Preserve Privacy for Classification Mining”, Decision Sciences Journal, 37(4): 623-642, November 2006.

  49. Mukherjee, S., Chen, Z. and Gangopadhyay, A. “A Privacy Preserving Technique for Euclidean Distance-Based Mining Algorithms Using Fourier-Related TraNational Sci- ence Foundationorms”, The VLDB Journal, 15:293?315, 2006.

  50. Kumar, N., Gangopadhyay, A., Karabatis, G. Bapna, S. and Chen, Z. “Navigation Rules for Exploring Large Multidimensional Data Cubes”, International Journal on Data Warehousing and Mining, 2(4): 27-48, 2006.

  51. Bapna, S, and Gangopadhyay, A. “A Web-Based GIS for Analyzing Commercial Mo- tor Vehicle Crashes,” Information Resources Management Journal 18(3): 1-12, July- September, 2005.

  52. Gangopadhyay, A. and Huang, Z. “Studying the Value of Information Sharing in E- Business Supply Chain Management,” Journal of International Technology and Infor- mation Management (JITIM), 13(1): 49-60, 2004.

  53. Huang, Z, and Gangopadhyay, A. “A Simulation Study of Supply Chain Management to Measure the Impact of Information Sharing,” Information Resources Management Journal 17(3): 20-31, 2004.

  54. Gangopadhyay, A. “A Methodology for Designing Data Warehouses from Functional Semantics,” Journal of Applied Systems Studies, 3(3): 550-559, 2002.

  55. Sikder, I. and Gangopadhyay, A. “Design and Implementation of a Web-Based Collabo- rative Spatial Decision Support System: Organizational and Managerial Implications,” Information Resources Management Journal, 15(4): 33-47, Oct.-Dec. 2002.

  56. Gangopadhyay, A. “Conceptual Modeling from Natural Language Functional Specifi- cations,” Artificial Intelligence in Engineering, 15(2): 207-218, 2001.

  57. Gangopadhyay, A. “An Image-Based System for Electronic Retailing”, Decision Sup- port Systems, Vol 32(2): 107-116, 2001.

  58. Jennings, D. and Gangopadhyay, A. “Augmenting Consumer Interest in Online Retail through the Use of Virtual Human Models”, Quarterly Journal of Electronic Com- merce, 2(2): 151-171, 2001.

  59. Forgionne, G., Gangopadhyay, A., Adya, M. and Tan, J. K. “BCAS: A Web-enables and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer”, International Journal of Healthcare Technology and Management, 3(5/6): 424-443, 2001.

  60. Forgionne, G., Gangopadhyay, A., Klein, J. A. “Facilitating Electronic Commerce in the Healthcare Industry through Decision Technology Systems,” Systems Analysis and Modeling Simulation, 39:423-443, 2000.

  61. Forgionne, G., Gangopadhyay, A., Adya. M. “Cancer Surveillance Using Data Ware- housing, Data Mining, and Decision Support Systems,” Topics in Health Information Management, 21(1):21-34, 2000.

  62. Gangopadhyay, A. and Huang, Z. “Online User Interaction with Electronic Catalogs: Language Preferences Among Global Users”, Journal of Global Information Manage- ment (Special Issue on Knowledge Management), 8(3):16-23, July-September 2000.

  63. Forgionne, G. Gangopadhyay, A. Klein, J. A., Eckhardt, R. ”A Decision Technology System for Health Care Electronic Commerce”, Topics in Health Information Manage- ment, 20(1): 31-41, August 1999.

  64. Forgionne, G. Gangopadhyay, A., Klein, J. A., Eckhardt, R. ”Electronic Commerce as an Enabler of Efficient Healthcare Decision Making”, Electronic markets: The Inter- national Journal of Electronic Commerce & Business Media, 9(1&2): 104-108, 1999.

  65. Adam, N. and Gangopadhyay, A. ”Content-Based Retrieval in Digital Libraries”, (With N. R. Adam), IEEE Computer, 31: 93-95, January 1998.

  66. Adam, N. and Gangopadhyay, A. ”A Form-Based Natural Language Front-End to a CIM Database”, IEEE Transactions on Knowledge and Data Engineering, 9(2): 238- 250, March/April 1997.

  67. Gangopadhyay, A. ”A Study of the Lagged Response Effect in the Indian IT Industry. Journal of Global Information Management, 4(1): 16-22, Winter, 1996.

  68. Adam, N., Gangopadhyay, A., Clifford, J. ”A Form-Based Approach to Natural Lan- guage Processing”, Journal of Management Information Systems, 11(2): 109-135, Fall 1994.

  69. Adam, N., Gangopadhyay, A., and Geller, J. ”Design and Implementation of a Knowledge- Based Query Processor”, International Journal of Intelligent and Cooperative Infor- mation Systems, 2(2):107-126, 1993.

Articles in Refereed Conference Proceedings

  1. Shi, P., Gangopadhyay, A., Owens C., Blunt, B. and Grogan, C. “A hybrid model using LSTM and decision tree for mortality prediction and its application in provider performance evaluation”. Proceedings of the IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, December 9-12, 2019, 2773-2781.

  2. Gangopadhyay, A., Odebode, I. E., and Yesha, Y. “A Domain Adaptation Technique for Deep Learning in Cybersecurity.” Proceedings of the OTM workshops SIAnA, Rhodes, Greece, 2019.

  3. Singh, N., Roy, N. and Gangopadhyay, A. “Analyzing the Sentiment of Crowd for Im- proving the Emergency Response Services.” Proceedings of the 4th IEEE International Conference on Smart Computing, Sicily, Italy, June 18-20, 2018.

  4. Basnyat, B., Roy, N. and Gangopadhyay, A. “A Flash Flood Categorization System using Scene-Text Recognition.” Proceedings of the 4th IEEE International Conference on Smart Computing, Sicily, Italy, June 18-20, 2018.

  5. Anam, A., Roy, N. and Gangopadhyay, A. “Tracking Disaster Response from Social Media with Wavelet Analysis.” Proceedings of the 4th IEEE International Conference on Smart Computing, Sicily, Italy, June 18-20, 2018.

  6. Parameshwarappa, P., Chen, Z., and Gangopadhyay, A. “Analyzing attack strategies against rule-based intrusion detection systems.” Proceedings of the Workshop Pro- gram of the 19th International Conference on Distributed Computing and Networking, Varanasi, India, January 04-07, 2018.

  7. Janeja, V., Faridee, A., Gangopadhyay,A., Seaman, C. and Everhart, E. “Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective.” Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, Baltimore, MD, USA, February 21-24, 2018.

  8. Taylor, J., Hossain, H. M. S., Alam, M., Khan, M. A, Roy, N., Galik, E., and Gan- gopadhyay, A. “SenseBox: A low-cost smart home system”,PerCom Workshops: 60-62, 2017.

  9. Basnyat, B., Anam, A., Singh, N., Gangopadhyay, A., and Roy, N. “Analyzing Social Media Texts and Images to Assess the Impact of Flash Floods in Cities”, SMART- COMP: 1-6, 2107.

  10. Gangopadhyay, A. and Chen S. “Health Care Fraud Detection with Community De- tection Algorithms,” SMARTCOMP:1-5, 2016.

  11. Toure,I.andGangopadhyay,A.“RealTimeBigDataAnalyticsforPredictingTerrorist Incidents,” IEEE Symposium on Technologies for Homeland Security, May 2016.

  12. Janeja, V. Seaman, C. Kephart, K, Gangopadhyay, A., and Everhart, E. “Cybersecu- rity workforce development: A peer mentoring approach,” ISI, 267-272, 2016.

  13. Yesha, R., Gangopadhyay, A., and Siegel, S. “A Graph-Based Method for Analyzing Electronic Medical Records,” in Proceedings of IEEE/ACM ASONAM: pp. 1036-1041, August 25-28, 2015.

  14. Shi, P. and Gangopadhyay, A. “Personalized Health Plan Ranking - One Application of Cloud Computing to Health Care Data,” ICHI 2015.

  15. Karami, A., Gangopadhyay, A., Zhou, B., and Karazi, H. “FLATM: A fuzzy logic approach topic model for medical documents,” NAFIPS/WConSC 2015.

  16. Yesha, R. and Gangopadhyay, A. “A Method for Analyzing Health Behavior in Online Forums,” in Proceedings of ACM-BCB: pp. 615-620, September 09-12, 2015.

  17. Odebode, I., Gangopadhyay, A., and Zhu, Q. “Acquisition of Diabetes-Related Biologi- cal Associations using a Motif-Based network: Preliminary Results”, BIBM, 1057-1062, 2015.

  18. Toure I. and Gangopadhyay, A. “Analyzing real time terrorism data,” IEEE Sympo- sium on Technologies for Homeland Security, 2015.

  19. Toure, I. and Gangopadhyay, A. “Analyzing terror attacks using latent semantic in- dexing,” IEEE Symposium on Technologies for Homeland Security, May 2013.

  20. Chen, S., and Gangopadhyay, A. “A Novel Approach to Uncover Health Care Frauds through Spectral Analysis,” International Conference on Healthcare Informatics (ICHI) 2013: 499-504.

  21. Toure, I. and Gangopadhyay, A. “A Method for Analyzing Terrorist Attacks,” IEEE In- ternational Conference on Technologies for Homeland Security, November 13-15, 2012: 660-665.

  22. Kugaonkar, R., Gangopadhyay, A., Yesha, Y., Joshi, A., Yesha,Y., Grasso, M., Brady, M., Rishe, N. “Finding associations among SNPs for prostate cancer using collaborative filtering,” 6th ACM International Workshop on Data and Text Mining in Biomedical Informatics, October 29, 2012: 57-60.

  23. Gangopadhyay, A., Molek, M., Yesha, Y., Brady, M., and Yesha, Y. “A Methodology for Ontology Evaluation using Topic Models,” 4th International Conference on Intel- ligent Networking and Collaborative Systems (INCoS-2012), September 19-21, 2012, 390-395.

  24. Gangopadhyay, A., Chen, S., and Yesha, Y. “Detecting Healthcare Fraud through Pa- tient Sharing Schemes”, in Proceedings of the 6th International Conference on Infor- mation Systems, technology & Management (ICISTM 2012, CCIS 285), 2012, 421-426.

  25. Gangopadhyay, A., Joshi, A, Wali, R.” A Spectral Clustering Technique for Studying Post-Transplant Kidney Functions,” 2nd ACM SIGHIT International Health Informat- ics Symposium (IHI 2012), 201-208.

  26. McGuire, M., Gangopadhyay, A., Vandana Pursnani Janeja. Exploring multivariate spatio-temporal change in climate data using image analysis techniques. COM.Geo 2012: 13.

  27. Azari, A., Zhou, L., Gangopadhyay, A. Clustered service rank in support of web service discovery. iConference 2012: 508-509

  28. Sun, Y., Janeja, V., McGuire, M., Gangopadhyay, P. TNeT: Tensor-Based Neighbor- hood Discovery in Traffic Networks. ICDE Workshops 2012: 331-336.

  29. McGuire, M., Janeja, V. Gangopadhyay, A. “Characterizing Sensor Datasets with Multi-Granular Spatio-Temporal Intervals,” in proceedings of the ACM SIGSPATIAL GIS, 2011.

  30. Ahluwallia, M., Gangopadhyay, A., Chen, Z., Yesha, Y. ”Target-Based Privacy Pre- serving Association Rule Mining”, in Proceedings of ACM Special Interest Group on Applied Computing, 2011, 962-967.

  31. Mondal, D. Gangopadhyay, A., and Russell, W. “Medical Decision Making Using Vector Space Model,”1st ACM International Health Informatics Symposium”, (2010), November 11-12, Arlington, VA, 386-390.

  32. Ahluwalia, M., Gupta, R., Gangopadhyay, A., Yesha, Y., and McAllister, M. ”Target- Based Database Synchronization,” in Proceedings of ACM Special Interest Group on Applied Computing, 1643-1647, 2010.

  33. Chakrabarti, S., Chen, Z, Gangopadhyay, A., and Mukherjee. S. ”Privacy Preserving Linear Discriminant Analysis from Perturbed Data,” in Proceedings of ACM Special Interest Group on Applied Computing, 610-615, 2010.

  34. Fu, Y. Chen, Z. Koru, G., and Gangopadhyay, A. ”A Privacy Protection technique for Publishing Data Mining Models and Supporting Data,” in Proceedings of WITS 2009.

  35. Dey, S., Janeja, V., and Gangopadhyay, A. ”Temporal Neighborhood Discovery using Markov Models,” in Proceedings of the IEEE International Conference on Data Mining, 110-119, 2009.

  36. Mohammadi, S. H., Janeja, V. and Gangopadhyay A. “Discretized Spatio-Temporal Scan Window”, in Proceedings of the Ninth SIAM International Conference on Data Mining, 1197-1208, 2009.

  37. Chaovalit,P.andGangopadhyay,A.“AMethodforClusteringTransientDatastreams”, ACM Symposium on Applied Computing, 1518-1519, 2009.

  38. Sherman, A., Gangopadhyay, A., Holden, S., Karabatis, G., Koru, G., Law, C., Norris, D., Pinkston,J. Sears, A., and Zhang. D. 2006. An examination of vote verification technologies: findings and experiences from the Maryland study. In Proceedings of the USENIX/Accurate Electronic Voting Technology Workshop 2006 on Electronic Voting Technology Workshop (EVT’06). USENIX Association, Berkeley, CA, USA, 10-10.

  39. Gangopadhyay, A. and Bapna, S. “Preserving Privacy in Data Mining Using Wavelets”, 3rd Annual Symposium on Information Security in the Knowledge Economy,” Tempe, Arizona, September 2005.

  40. Huang, Z., Gangopadhyay, A., and Gupta, J. N. D. “Sharing Information Among Supply Chain Partners to Counteract Bullwhip Effect,” 35th Annual Meeting of the Decision Sciences Institute, 2001-2006,November 2004.

  41. Sikder, I., Gangopadhyay, A., and Yoon, V. “Visualization of Uncertainty in Spatial Classification,” in proceedings of The 9th International Conference on Distributed Multimedia Systems, Florida, USA September 24 26, 2003

  42. Gangopadhyay, A. “Architecture of a Gene Expression Data Warehouse,” Information Resources Management Association Annual Meeting, 331, 2003.

  43. Kumar, N. and Gangopadhyay, A. “Discovering Valuable Patterns through Internet Web-Log Access Analysis,” Information Resources Management Association Annual Meeting, 867-873, 2003.

  44. Gangopadhyay, A. and Huang, Z. “BullWhip Simulator: A System for Studying how Information Sharing can improve Supply Chain management,” Annual Meeting of the Decision Sciences Institute, 2002.

  45. Broome, B. Yoon, V. and Gangopadhyay, A. “CAER: An Ontology-Based Community of Agents for Emergency Relief,” 6th World Multiconference on Semantics, Cybernet- ics, and Informatics (SCI) 2002.

  46. Gangopadhyay, A. “A Multi-agent System for Multimedia Information Retrieval in Electronic Retailing,” AMCIS 2002:495-498.

  47. Sikder, I. and Gangopadhyay, A. “Towards Collaborative Spatial Decision Support in a Web-based Environment,” Information Resources Management Association Annual Meeting, 2002:226-229.

  48. Sikder, I. Yasmin, N. and Gangopadhyay, A. “Spatial Metadata Server: Supporting Data Clearinghouse in the Hindu-Kush Himalayan Region”, Information Resources Management Association Annual Meeting, 2002:758-761.

  49. Gangopadhyay, A. “A Methodology for Conceptual Database Design from Natural Language Specifications,” in proceedings of the Information Resources Management Association Annual Meeting, 341-345, 2001.

  50. Broome, B., Gangopadhyay, A., Yoon, V. “Issues in Collaborative Infrastructure for Emergency Operations, in proceedings of the 5th World Multiconference on Semantics, Cybernetics, and Informatics (SCI), 2001):340-345.

  51. Gangopadhyay, A. and Huang, Z. “Designing Multilingual Electronic Catalogs”, in proceedings of the Information Resources Management Association Annual Meeting, 347-349, May 2000.

  52. Gangopadhyay, A. “Extending Electronic Catalogs with Content-Based Information Retrieval”, in proceedings of the Information Resources Management Association An- nual Meeting, 1160-1161, May 2000.

  53. Gangopadhyay, A. “Efficient Retrieval of Images Based on Content”, in proceedings of the 1999 Annual Meeting of the Decision Sciences Institute, 516-518, November 1999.

  54. Forgionne, G., Gangopadhyay, A., and Adya, M. “Detecting Health-Care Fraud Using Intelligent Data Mining”, in proceedings of the 10th International Conference of the Information Resources Management Association, August 1999.

  55. Forgionne, G. Gangopadhyay, A., Klein, J. A., Eckhardt, R. “Using Electronic Com- merce to Improve Health Care Management”, in proceedings of the Fourth Americas Conference on Information Systems (AIS), August 14-16, 1998.

  56. Adam, N., Gangopadhyay, A., and Holowczak, R. “A Survey of Research on Statistical Data Protection”, in Statistical Data Pretection proceedings, April 1998:1-12 (invited paper).

  57. Gangopadhyay, A. and Emdad, A.“Applications of Geographic Information Systems: A Taxonomic Analysis”, in proceedings of the Northeast Decision Sciences Institute,1997:123- 125.

  58. Adam, N. and Gangopadhyay, A. “An N-ary View Integration Method Using Concep- tual Dependencies”, in proceedings of the Hawaii International Conference on System Sciences, January 1995:391-397.

  59. Gangopadhyay, A. and Zaveri, J. “Full-Text Document Retrieval using Precompiled Queries”, in proceedings of the Western decision sciences institute 1995:583-585.

  60. Zaveri, J., Wagner, P. and Gangopadhyay, A. “A Study of Some AI-Based Techniques for Incorporating Intelligence in Decision Support Systems”, in proceedings of the annual meeting of DSI 1994:760-762.

  61. Adam, N. and Gangopadhyay, A. “Integrating Functional and Data Modeling in a Computer Integrated Manufacturing System”, in proceedings of the Ninth IEEE In- ternational Conference on Data Engineering, April 1993:302-309.

Articles in Refereed Book Chapters

  1. Gangopadhyay, A., Yesha, R., and Siegel, E. “Knowledge Discovery in Clinical data,” Machine Learning for Health Informatics, LNCS 9605, Springer, pp. 337-356, 2016.

  2. McGuire, M., Janeja, V., and Gangopadhyay, A. ”Spatio-Temporal Neighborhood Dis- covery for Sensor Data”, M.M. Gaber et al. (Eds.): Sensor-KDD 2008, LNCS 5840, pp. 203?225, 2010.

  3. Ahluwalia, M. and Gangopadhyay, A. “Privacy Preserving Data Mining ? Taxonomy of Existing Techniques,” in Computer Security, Privacy and Politics: Current Issues, Challenges and Solutions, R. Subramanian (Editor), IRM Press, 70-93, 2008.

  4. Z. Huang, and A. Gangopadhyay. “Information Sharing in Supply Chain Management with Demand Uncertainty,” in Advanced Topics in Information Resources Manage- ment, volume 5, pages 44-62, 2006.

  5. Gangopadhyay, A. and Huang, Z. “Multilingual Electronic Commerce in a Global Economy,” in Encyclopedia of Information Science and Technology, Volume 1-V, M. Khosrow-Pour (Editor), pages 2042-2044, 2005

  6. Li, Xin, and Gangopadhyay, A. “Applications of Web Services in Bioinformatics,” in Peer-to-peer computing: The evolution of a disruptive technology, B. Goodman and R. Subramanian (Editors), pages 261-273, 2005.

  7. Sikder, I., and Gangopadhyay, A. “Collaborative Decision Making in Web-based GIS,” in Advanced Topics in Information Resource Management, Volume 3, M. Khosrow- Pour (Editor), pages 153-168, 2004.

  8. Sikder, I., and Gangopadhyay, A. “Distributed Data Warehouse for Geo-Spatial Ser- vices,” in ERP & Data Warehousing in Organizations: Issues and Challenges, G. Grant (Editor), 132-145, 2003.

  9. Gangopadhyay, A. and Huang, Z. “Multilingual Electronic Commerce in a Global Economy,” in Advanced Topics in Global Information Management, F. Tan (Editor), 1-11, March, 2002.

  10. Forgionne, G., Gangopadhyay, A. Adya, M., and Tan, J. ”Data Warehousing, Data Mining, and Integrated Health Decision Support Systems: A Comprehensive Cancer Surveillance System Architecture,” in Health management Information Systems, J. Tan (Editor), 151-178, 2001.

  11. Forgionne, G., Gangopadhyay, A. and Adya, M. “An Intelligent Data Mining System to Detect Health Care Fraud,” in Health Care Information Systems: Challenges of the Next Millennium, A. Armoni (Editor), Idea Group Publishing, 148-169, 2000.

  12. Forgionne, G., Gangopadhyay, A. and Adya, M. ”A Decision Technology System to Advance the Diagnosis and Treatment of Breast Cancer”, in Managing Healthcare Information Systems with Web-enabled Technologies, L. Eder (Editor), Idea Group Publishing, 141-150, 2000.

  13. Gangopadhyay, A. and Adya, M. “Protecting Sensitive Information in Electronic Com- merce”, in Doing Business on the Internet: Opportunities and Pitfalls, Romm, C. T. and Sudweeks, F. (Editors), Springer-Verlag, 77-86, 1999.

Books

  1. Gangopadhyay, A. (Editor) “Methods, Models, and Computation for Medical Infor- matics,” Medical Information Science Reference, IGI Global, 2013.

  2. Dua, S., Gangopadhyay, A., Thulasiraman, P., Straccia, U., Shepherd, M., and Stein, B. (Editors), “Information Systems, Technology and Management: 6th International Conference, ICISTM 2012, Grenoble, France, March 28-30. Proceedings (Communica- tions in Computer and Information Science)”, Springer, 2012.

  3. Gangopadhyay, A. (Editor) “Innovations in Data Methodologies and Computational Algorithms for Medical Applications”, IGI Global, 2012.

  4. Gangopadhyay, A. (Editor) “Managing Businesses with Electronic Commerce: Issues and Trends”, Idea Group Publishing, January 2002.

  5. Adam, N., Dogramaci, O., Gangopadhyay, A. and Yesha, Y. “Electronic Commerce: Technical, Business, and Legal Issues”, Prentice-Hall, August 1998.

  6. Adam, N. and Gangopadhyay, “A. Database Issues in Geographic Information Sys- tems”, Kluwer International Series on Advances in Database Systems, May 1997.

Refereed Conference Presentations

  1. Chen, J. J., Gangopadhyay, A., Banerjee, M., Chen, Z., Yesha, Y., Patel, J. and E. Siegel. “A Novel Algorithm to De-Identify Pixel Data from CT Scans of the Head and Face to Protect against Patient Identification Using a 3D Surface Reconstruction,” Radiological Society of North America 97th Scientific Assembly and Annual Meeting, Chicago, Illinois, November 27-December 2, 2011.

  2. Banerjee, M., Chen, Z., and Gangopadhyay, A. ”Utility-Aware and Holistic Approach for PrivacyPreserving Distributed Mining with Worst Case Privacy Guarantee”, Secure Knowledge Management (SKM), October 2010.

  3. McGuire, M., Janeja, V., and Gangopadhyay, A. “Spatio-Temporal Neighborhood Dis- covery for Sensor Data”, 2nd International Workshop on Knowledge Discovery from Sensor Data (Senson-KDD), August, 2008.

  4. Mukherjee, S., Zhiyuan Chen, Gangopadhyay, A. “A Secure Face Recognition System for Mobile-devices without The Need of Decryption”, Workshop on Secure Knowledge Management (SKM), 2008.

  5. Chaovalit, P. and Gangopadhyay, A. “A Method for Clustering Time Series using Connected Components”, prototype paper, WITS, December 2007.

  6. Ahluwalia, M., Chen, Z., Gangopadhyay, A., and Guo, Z. “Preserving Privacy in Sup- ply Chain Management: a Challenge for Next Generation Data Mining,” poster presen- tation at the National Science Foundation Symposium on next generation data mining, October 2007.

  7. Gangopadhyay,A.andAhluwalia,M.“PreservingPrivacyinMiningAssociationRules,” presented in the 2nd Secure Knowledge Management Workshop, September 2006.

  8. Kumar, N. and Gangopadhyay, A. “Navigating Multidimensional Data Using Sk-

  9. Associatoin Rules,” AIS SIGDSS 2005 Pre-ICIS Workshop, 2005 (http://mis.temple.edu/sigdss/icis05

Invited Presentations

  1. Gangopadhyay, A. “Computational Drug repurposing,” US Food and Drug AdmiNa- tional Institute of Standards and Technologyration,” invited speaker, 2018.

  2. Gangopadhyay, A. “Blockchain Technologies: From Cryptocurrency to Healthcare,” Keynote speaker at SmartSys 2018.

  3. Gangopadhyay, A. “Genetics for Personalized Medicine,” Industrial Advisory Board, CHMPR, UMBC, November 26, 2017.

  4. Gangopadhyay, A. “Healthcare Analytics”, Northwestern University, December 3, 2013.

  5. Gangopadhyay, A. “Multi-Resolution Data Mining,” UMBC-SERC Workshop, January 18, 2005.

  6. Gangopadhyay, A. “Electronic Catalogs for Supply Chain Management”, Fall 1999 CS Graduate Seminars, CSEE Colloquium, UMBC, November 12, 1999.

  7. Gangopadhyay, A. “Architecture for Electronic Commerce: Research Experiences”, CASCON ’98 (sponsored by IBM Canada and National Research Council of Canada), November 30-December 3, 1998.