Publications









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  1. DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
    Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari and B. Aditya Prakash.
    in IAAI 2021 (virtual).
         
  2. Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
    Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan and B. Aditya Prakash.
    in AAAI 2021 (virtual).
    (Shorter version in NeurIPS 2020 Machine Learning in Public Health (MLPH) Workshop)
       
  3. NetReAct: Interactive Learning for Network Summarization
    Sorour E Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Chris North and B. Aditya Prakash.
    in NeurIPS 2020 Human and Model in the Loop Evaluation and Training Strategies (HAMLETS) Workshop.
     
  4. Mapping Network States using Connectivity Queries
    Alexander Rodriguez, Bijaya Adhikari, Andres D. Gonzalez, Charles Nicholson, Anil Vullikanti, and B. Aditya Prakash.
    in IEEE BigData, Atlanta. (long paper). 2020.
    (Shorter version in NeurIPS 2020 Artificial Intelligence and Humanitarian and Disaster Relief (AI + HADR) Workshop)
     
  5. Cut-n-Reveal: Time-Series Segmentations with Explanations
    Liangzhe Chen, Nikhil Muralidhar, Anika Tabassum, Supriya Chinthavali, Naren Ramakrishnan and B. Aditya Prakash.
    in ACM Transactions on Intelligent Systems and Technology (TIST). 2020.
     
  6. Incorporating Expert Guidance in Epidemic Forecasting
    Alexander Rodriguez, Bijaya Adhikari, Naren Ramakrishnan, and B. Aditya Prakash.
    in ACM SIGKDD Epidemiology meets Data Mining and Knowledge Workshop 2020.
     
  7. Designing Near-Optimal Temporal Interventions to Contain Epidemics
    Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti.
    in AAMAS 2020, Auckland.
    Invited to JAAMAS Special Issue (AAMAS Best papers)
     
  8. Tracking and Analyzing Dynamics of News-cycles during Global Pandemics: A Historical Perspective
    Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing and B. Aditya Prakash.
    in SIGKDD Explorations. Vol 21, Issue 2. 2019.
     
  9. Fast and Near-Optimal Monitoring for Healthcare Acquired Infection Outbreaks
    Bijaya Adhikari, Bryan Lewis, Anil Vullikanti, Jose Mauricio Jimenez, and B. Aditya Prakash
    in PLoS Computational Biology. 2019.
     
  10. EpiDeep: Exploiting Embeddings for Epidemic Forecasting
    Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan and B. Aditya Prakash.
    in SIGKDD 2019, Anchorage.
         
  11. Urban-Net: A System to Understand and Analyze Critical Infrastructure Networks for Emergency Management
    Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Liangzhe Chen and B. Aditya Prakash.
    in SIGKDD 2019, Anchorage.
         
  12. Joint Post and Link-level Influence Modeling on Social Media
    Liangzhe Chen and B. Aditya Prakash
    in SDM 2019, Calgary.
         
  13. Latent Allocation Spatiotemporal Models For Indoor Human Mobility
    Yiming Gu, Hala Mostafa, and B. Aditya Prakash
    in ACM SIGKDD Urban Computing Workshop 2018.
       
  14. Forecasting the Flu: Designing Social Network Sensors for Epidemics
    Huijuan Shao, K.S.M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav Marathe and Naren Ramakrishnan
    in ACM SIGKDD Epidemiology meets Data Mining and Knowledge Workshop 2018.
       
  15. Data Driven Efficient Network and Surveillance-based Immunization
    Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, and B. Aditya Prakash
    in Knowledge and Information Systems Journal, Springer. 2018.
         
  16. NetGist: Learning to generate task-based network summaries
    Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash
    in IEEE ICDM 2018, Singapore.
       
  17. DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
    Mohammad R Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, and Naren Ramakrishnan.
    in IEEE ICDM 2018, Singapore.
     
  18. Efficiently Summarizing Attributed Diffusion Networks
    Sorour Amiri, Liangzhe Chen and B. Aditya Prakash.
    in ECML/PKDD 2018 (DAMI Journal Track), Dublin.
       
  19. Sub2Vec: Feature Learning for Subgraphs
    Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan and B. Aditya Prakash.
    in PAKDD 2018, Melbourne.(long paper)
         
  20. Distributed Representations of Signed Networks
    M. Raihanul Islam, B. Aditya Prakash and Naren Ramakrishnan.
    in PAKDD 2018, Melbourne. (long paper)
     
  21. Mining E-Commerce Query Relations using Customer Interaction Networks
    Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma and B. Aditya Prakash.
    in WWW 2018, Lyon.
     
  22. Near-optimal Mapping of Network States using Probes
    Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash and Anil Vullikanti.
    in SDM 2018, San Diego.
     
  23. Automatic Segmentation of Data Sequences
    Liangzhe Chen, Sorour Amiri, and B. Aditya Prakash.
    in AAAI 2018, New Orleans.
     
  24. Propagation based Temporal Network Summarization
    Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, and B. Aditya Prakash.
    in IEEE Transactions on Knowledge and Data Engineering (TKDE). 2017.
       
  25. Automatic Segmentation of Dynamic Network Sequences with Node Labels
    Sorour Amiri, Liangzhe Chen and B. Aditya Prakash.
    in IEEE Transactions on Knowledge and Data Engineering (TKDE). 2017.
       
  26. Data Driven Immunization
    Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, and B. Aditya Prakash.
    in IEEE ICDM 2017, New Orleans.
    Invited to KAIS Journal Special Issue (ICDM Best papers)
       
  27. HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks
    Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali and B. Aditya Prakash.
    in ACM CIKM 2017, Singapore.
       
  28. Distributed Representations of Subgraphs
    Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, and B. Aditya Prakash
    in IEEE ICDM Data Mining Large Networks Workshop 2017
       
  29. Graphs for Malware Detection: The Next Frontier
    Abhishek Sharma and B. Aditya Prakash
    in ACM SIGKDD Mining and Learning with Graphs Workshop 2017
       
  30. Using Partial Probes to Infer Network States
    Venkata Pavan Rangudu, Bijaya Adhikari, B. Aditya Prakash and Anil Vullikanti
    in ACM SIGKDD Mining and Learning with Graphs Workshop 2017
       
  31. Condensing Temporal Networks using Propagation
    Bijaya Adhikari, Yao Zhang and B. Aditya Prakash
    in NetSci 2017.
       
  32. URBAN-NET: A Network-based Infrastructure Monitoring and Analysis System for Emergency Management and Public Safety
    Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, and B. Aditya Prakash
    in IEEE BigData Workshop on Big Data for Sustainable Development 2016
     
  33. Segmenting Sequences of Node-labeled Graphs
    Sorour Amiri, Liangzhe Chen and B. Aditya Prakash
    in IEEE ICDM Data Mining Large Networks Workshop 2016
     
  34. MeiKe: Influence-based Communities in Networks
    Yao Zhang, Bijaya Adhikari, Steve Jan and B. Aditya Prakash.
    in SDM 2017, Houston.
       
  35. Condensing Temporal Networks using Propagation
    Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj and B. Aditya Prakash.
    in SDM 2017, Houston.
     
  36. Detecting Large Reshare Cascades in Social Networks
    Karthik Subbian, B. Aditya Prakash and Lada Adamic.
    in WWW 2017, Perth.
     
  37. Non-linear Dynamics of Information Diffusion in Social Networks
    Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li and Christos Faloutsos.
    in ACM Transactions on the Web (TWEB). 2017.
     
  38. SnapNETS: Automatic Segmentation of Network Sequences with Node Labels
    Sorour Amiri, Liangzhe Chen and B. Aditya Prakash.
    in AAAI 2017, San Francisco.
       
  39. Current and Future Challenges in Mining Large Networks
    with Larry Holder, Maleq Khan and others.
    in SIGKDD Explorations. Vol. 18, Issue 1. 2016.
     
  40. Near-optimal Algorithms for Controlling Propagation at Group Scale on Networks
    Yao Zhang, Abhijin Adiga, Sudip Saha, Anil Vullikanti and B. Aditya Prakash.
    in IEEE Transactions on Knowledge and Data Engineering (TKDE). 2016.
       
  41. Reconstructing an Epidemic over Time
    Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash and Jilles Vreeken.
    in SIGKDD 2016, San Francisco
       
  42. Eigen-Optimization on Large Graphs by Edge Manipulation
    Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos and Christos Faloutsos.
    in ACM Transactions on Knowledge Discovery in Data (TKDD). 2016.
     
  43. Understanding the Relationship between Human Behavior and Susceptibility to Cyber-Attacks: A Data-Driven Approach
    Michael Ovelgonne, Tudor Dumitras, B. Aditya Prakash, V. S. Subrahmanian and Benjamin Wang
    in ACM Transactions on Intelligent Systems and Technology (TIST). 2016.
     
  44. Unstable Communities in Network Ensembles
    Ahsanur Rahman, Steve Jan, Hyunju Kim, B. Aditya Prakash and T. M. Murali
    in SDM 2016, Miami.
     
  45. Ensemble Models for Data-Driven Prediction of Malware Infections
    Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, and V. S. Subrahmanian
    in ACM WSDM 2016, San Francisco.
     
  46. Syndromic Surveillance of Flu on Twitter Using Weakly Supervised Temporal Topic Models
    Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan and B. Aditya Prakash
    in Data Mining and Knowledge Discovery Journal (DAMI), Springer. 2015.
         
  47. Controlling Propagation at Group Scale on Networks
    Yao Zhang, Abhijin Adiga, Anil Vullikanti and B. Aditya Prakash
    in IEEE ICDM 2015, Atlantic City.
         
  48. Mining Unstable Communities from Network Ensembles
    Ahsanur Rahman, Steve Jan, Hyunju Kim, B. Aditya Prakash and T. M. Murali
    in IEEE ICDM Data Mining Large Networks Workshop 2015
       
  49. Node Immunization on Large Graphs: Theory and Algorithms
    Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos and Polo Chau
    in IEEE Transactions on Knowledge and Data Engineering (TKDE). 2015.
       
  50. Data-Aware Vaccine Allocation over Large Networks
    Yao Zhang and B. Aditya Prakash
    in ACM Transactions on Knowledge Discovery in Data (TKDD). 2015.
         
  51. Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics
    Shashidhar Sundareisan, Jilles Vreeken and B. Aditya Prakash
    in SDM 2015, Vancouver.
         
  52. Approximation Algorithms for Reducing the Spectral Radius to control Epidemic Spread
    Sudip Saha, Abhijin Adiga, B. Aditya Prakash and Anil Vullikanti
    in SDM 2015, Vancouver.
         
  53. SharkFin: Spatio-temporal mining of software adoption and penetration
    Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash and Christos Faloutsos
    in Social Network Analysis and Mining Journal, Springer. 2014.
       
  54. Flu Gone Viral: Syndromic Surveillance of Flu on Twitter using Temporal Topic Models
    Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan and B. Aditya Prakash
    in IEEE ICDM 2014, Shenzhen
         
  55. Scalable Vaccine Distribution in Large Graphs given Uncertain Data
    Yao Zhang and B. Aditya Prakash
    in ACM CIKM 2014, Shanghai
         
  56. SansText: Classifying Temporal Topic Dynamics of Twitter Cascades Without Tweet Text
    Shashidhar Sundareisan, Abhay Rao Bhadriraju, M. Saquib Khan, Naren Ramakrishnan and B. Aditya Prakash
    in ACM/IEEE ASONAM 2014, Beijing
       
  57. Fast Influence-based Coarsening for Large Networks
    Manish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang and V. S. Subrahmanian
    in SIGKDD 2014, New York City
         
  58. Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion
    Fang Jin, Rupinder Khandpur, Nathan Self, Edward Dougherty, Feng Chen, B. Aditya Prakash and Naren Ramakrishnan
    in SIGKDD 2014, New York City
       
  59. DAVA: Distributing Vaccines over Large Networks under Prior Information
    Yao Zhang and B. Aditya Prakash
    in SDM 2014, Philadelphia
         
  60. Spatio-temporal Mining of Software Adoption & Penetration
    Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash and Christos Faloutsos
    in ACM/IEEE ASONAM 2013, Niagara Falls
    Invited to Social Network Analysis and Mining (SNAM) journal (ASONAM Best Papers)
       
  61. Efficiently Spotting the Starting Points of an Epidemic in a Large Graph
    B. Aditya Prakash, Jilles Vreeken and Christos Faloutsos
    in Knowledge and Information Systems Journal, Springer. 2013.
       
  62. Fractional Immunization on Networks
    B. Aditya Prakash, Lada Adamic, Theodore Iwashnya, Hanghang Tong and Christos Faloutsos
    in SDM 2013, Austin
       
  63. Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG model
    Danai Koutra, Vaseilios Koutras, B. Aditya Prakash and Christos Faloutsos
    in PAKDD 2013, Gold Coast
       
  64. Competing Memes Propagation on Networks: A Network Science Perspective
    Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos and Christos Faloutsos
    in IEEE Journal on Selected Areas in Communication (Special Issue on Network Science), 2013
       
  65. Spotting Culprits in Epidemics: How many and Which ones?
    B. Aditya Prakash, Jilles Vreeken and Christos Faloutsos
    in IEEE ICDM 2012, Brussels
    Invited to KAIS Journal Special Issue (ICDM Best papers)
       
  66. Competing Meme Propagation on Networks: A Case Study of Composite Networks
    Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos and Christos Faloutsos
    in ACM SIGCOMM Computer Communication Review, October 2012
       
  67. Gelling, and Melting, Large Graphs through Edge Manipulation
    Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos and Christos Faloutsos
    in ACM CIKM 2012, Mauii
    Received the Best Paper Award (among all three DB, IR, KM tracks)
       
  68. Rise and Fall Patterns of Information Diffusion: Model and Implications
    Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li and Christos Faloutsos
    in SIGKDD 2012, Beijing
       
  69. Interacting Viruses on a Network: Can both survive?
    Alex Beutel, B. Aditya Prakash, Roni Rosenfeld and Christos Faloutsos
    in SIGKDD 2012, Beijing
       
  70. Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks
    B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos
    in Knowledge and Information Systems Journal, Springer. 2012.
       
  71. Winner-takes-all: Competing Viruses on fair-play networks
    B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos
    in WWW 2012, Lyon
       
  72. Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks
    B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos
    in IEEE ICDM 2011, Vancouver
    Invited to KAIS Journal Special Issue (ICDM Best papers)
       
  73. Time Series Clustering: Complex is Simpler!
    Lei Li, B. Aditya Prakash
    in ICML 2011, Bellevue
         
  74. Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point
    Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos
       
  75. Formalizing the BGP stability problem: Patterns and a Chaotic model
    B. Aditya Prakash, Michalis Faloutsos, Christos Faloutsos
    CMU-TR, Preliminary Version in IEEE INFOCOM NetSciCom Workshop 2011
       
  76. On the Vulnerability of Large Graphs
    Hanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
    in IEEE ICDM 2010, Sydney
         
  77. Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
    B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos
    in ECML-PKDD 2010, Barcelona
       
  78. Parsimonious Linear Fingerprinting for Time Series
    Lei Li, B. Aditya Prakash, Christos Faloutsos
    in VLDB 2010, Singapore
         
  79. MetricForensics: A Multi-Level Approach for Mining Volatile Graphs
    Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
    in SIGKDD 2010, Washington DC
       
  80. EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
    B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos
    in PAKDD 2010, Hyderabad
       
  81. BGP-lens: Patterns and Anomalies in Internet Routing Updates
    B. Aditya Prakash, Nicholas Valler, David Andersen, Michalis Faloutsos, Christos Faloutsos
    in SIGKDD 2009, Paris
         
  82. Surprising Patterns and Scalable Community Detection in Large Graphs
    B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos
    in IEEE ICDM Large Scale Data Mining Workshop 2009
       
  83. FRAPP: A framework for high-accuracy privacy-preserving mining
    Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash
    in Data Mining and Knowldge Discovery Journal, Springer, 2008
       
  84. Complex Group-by Queries for XML
    C. Gokhale, N. Gupta, P. Kumar, L. V. S. Lakshmanan, R. Ng, B. Aditya Prakash
    in ICDE 2007, Istanbul, Turkey