Publications

Peer-Reviewed Works

Refereed Journal Articles

  1. Maisha, Nuzhat, Chhaya Kulkarni, Narendra Pandala, Rose Zilberberg, Leasha Schaub, Leslie Neidert, Jacob Glaser, Jeremy Cannon, Vandana Janeja, and Erin B. Lavik. “PEGylated Polyester Nanoparticles Trigger Adverse Events in a Large Animal Model of Trauma and in Naı̈ve Animals: Understanding Cytokine and Cellular Correlations with These Events.” ACS nano 16, no. 7 (2022): 10566-10580.
  2. Prerna Mohod, Vandana P. Janeja:Density-Based Spatial Anomalous Window Discovery. Int. J. Data Warehous. Min. 18(1): 1-23 (2022)
  3. Quader, F., & Janeja, V. P. (2021). Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies. Journal of Cybersecurity and Privacy, 1(4), 638-659.
  4. Vandana P. Janeja, Josephine M. Namayanja, Yelena Yesha, Anuja Kench, Vasundhara Misal:

Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis. Int. J. Data Warehous. Min. 16(4): 63-83 (2020)

  1. Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:Data Science for Earth: An Earth Day Report. SIGKDD Explor. 22(1): 4-7 (2020)
  2. James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li:Blockchains for Government: Use Cases and Challenges. Digit. Gov. Res. Pract. 1(3): 22:1-22:21 (2020)
  3. Henanksha Sainani, Josephine M. Namayanja, Guneeti Sharma, Vasundhara Misal, Vandana P. Janeja: IP Reputation Scoring with Geo-Contextual Feature Augmentation. ACM Trans. Manag. Inf. Syst. 11(4): 26:1-26:29 (2020)
  4. Josephine M. Namayanja, Vandana P. Janeja: Change Detection in Large Evolving Networks. IJDWM 15(2): 62-79 (2019)
  5. P. Janeja, J. Gholap, P. Walkikar, Y. Yesha, N.I Rishe, M. A. Grasso: Collaborative data mining for clinical trial analytics. Intell. Data Anal. 22(3): 491-513 (2018)
  6. Feng, C.K. Wong, V.P. Janeja, R. Kuber, and H.M. Mentis, 2016. Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions. Gait & Posture. DOI: http://dx.doi.org/10.1016/j.gaitpost.2016.12.014, In press
  7. Tambe, G. Karabatis, V. P. Janeja, Context aware discovery in web data through anomaly detection. Int. J. Web Eng. Technol. 10(1): 3-30 (2015)
  8. Shi, A. Gangopadhyay, and V. P. Janeja. “STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery.” Knowledge and Information Systems 43.2 (2015): 333-353.
  9. Chen, V.P. Janeja, Human Perspective to Anomaly Detection for Cybersecurity, Journal of Intelligent Information Systems, 42(1): 133-153 (2014).
  10. McGuire, V.P. Janeja, A. Gangopadhyay, Mining Trajectories of Moving Dynamic Spatio-Temporal Regions in Sensor Datasets, in Data Mining and Knowledge Discovery, 28(4): 961-1003 (2014)
  11. McGuire, V.P. Janeja, A. Gangopadhyay, (in press). Mining sensor datasets with spatio-temporal neighborhoods. To appear in Journal of Spatial Information Science (JOSIS), http://www.josis.org/index.php/josis/article/view/94, 6(1): 1-42 (2013)
  12. Dey, V. P. Janeja, and A. Gangopadhyay, Discovery of Temporal Neighborhoods through Discretization Methods, Intell. Data Anal. 18(4): 609-636 (2014)
  13. P. Janeja and R. Palanisamy, Multi Domain Anomaly Detection in Spatial Datasets, Knowledge and Information Systems Journal, DOI: 10.1007/s10115-012-0534-5, 36(3): 749-788 (2013)
  14. Shi and V. P. Janeja, Discovery of anomalous windows through a Robust nonparametric Multivariate Scan Statistic (RMSS), International Journal of Data Warehousing and Mining, 9(1), 28-55, January-March 2013
  15. Azari, V.P. Janeja, A. Mohseni, Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS), Accepted to the International Journal of Knowledge Discovery in Bioinformatics (IJKDB), IJKDB 3.3 (2012): 44-66. Web. 6 Sep. 2013. doi:10.4018/jkdb.2012070103
  16. J. M. Namayanja, V.P. Janeja, An Assessment of Patient Behavior Over Time–Periods: A Case Study of Managing Type 2 Diabetes Through Blood Glucose Readings and Insulin Doses, Journal of Medical Systems, DOI: 10.1007/s10916-012-9894-3, November 2012, Volume 36, pp 65-80
  17. M. Namayanja, V. P. Janeja, Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome. IJCMAM 2(1): 38-59 (2011)
  18. P. Janeja, A. Gangopadhyay, S. H. Mohammadi, R. Palanisamy: Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics. Statistical Analysis and Data Mining 4(3): 276-300 (2011)
  19. Shi, V.P. Janeja: Anomalous Window Discovery for Linear Intersecting Paths. IEEE Trans. Knowl. Data Eng. 23(12): 1857-1871 (2011)
  20. M. Lewis*, V. P. Janeja: An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. IJDWM 7(2): 44-66 (2011)
  21. P. Janeja, N. Adam, V. Atluri, J.S. Vaidya. Spatial neighborhood based anomaly detection in sensor datasets Data Mining and Knowledge Discovery, Data Mining and Knowledge Discovery, special issue on Outlier Detection, 20(2), March 2010, pp. 221-258, Springer.
  22. Karabatis, Z. Chen, V. P. Janeja, Tania Lobo, Monish Advani, Mikael Lindvall, Raimund L. Feldmann, Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts, Journal on Data Semantics XIV, Lecture Notes in Computer Science, Volume 5880, 2009, pp 74-104
  23. P. Janeja and V. Atluri, Random walks to identify anomalous free-form spatial scan windows. IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 20(10), 2008.
  24. P. Janeja and V. Atluri, Spatial outlier detection in heterogeneous neighborhoods. Intelligent Data Analysis, Volume 13(1), 2008

 

 

Refereed Conference and Workshop Papers

 

  1. Kulkarni C, Maisha N, Schaub L, Glaser J, Lavik E, Janeja V. Temporal Progression: A case study in Porcine Survivability through Hemostatic Nanoparticles. 2021 May. doi: 10.1101/2021.05.25.445617, 7th Workshop on Mining and Learning from Time Series (MiLeTS) at KDD 2021.
  2. Kulkarni C, Maisha N, Schaub L, Glaser J, Lavik E, Janeja V. Computational Design Map for Heterogeneous Experimental Studies. [preprint]. 2021 May. doi: 10.1101/2021.05.25.445627
  3. Mohammad Alodadi, Vandana P. Janeja: Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories. BIBM 2019: 1174-1176
  4. Mohammad Alodadi, Vandana P. Janeja: Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records. BIBM 2019: 2620-2627
  5. Abu Zaher Md Faridee and Vandana Janeja, Peer Mentoring Effectiveness in Computing Courses: A Case study in Data Analytics for Cybersecurity, EduHiPC workshop (December 17, 2019), 26th International Conference on High Performance Computing, Data, and Analytics
  6. Zabihi, V.P. Janeja, DeepNet: A Deep Learning Architecture for Network-Based Anomaly Detection SIANA 2019: International Workshop on Security via Information Analytics and Applications, October, 2019
  7. Quader, V.P. Janeja, Anomaly Detection: Under the [data] hood in Smart Cars, Fourth IEEE Workshop on Smart Service Systems (SmartSys 2019), June 2019
  8. P. Janeja and S. Shukla, Multi-Domain Anomalous Temporal Association (Multi-DATA) — Moving towards explainability from multiple notions of time, 5th Workshop on Mining and Learning from Time Series (MiLeTS) at KDD 2019
  9. Cole, V.P. Janeja, Spatial Data Integration for Multi-Domain Knowledge Discovery, Fragile Earth: Theory Guided Data Science to Enhance Scientific Discovery ACM SIG KDD 2018, London
  10. P. Janeja, A. Faridee, A. Gangopadhyay, C. Seaman, A. Everhart, Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective, SIGCSE 2018: 49th ACM Technical Symposium On Computer Science Education.
  11. Azari, V.P. Janeja, S. Levin, MILES: Multiclass Imbalanced Learning in Ensembles through Selective Sampling, ACM Symposium on Applied Computing, Data Mining, 2017.
  12. Walkikar, V.P. Janeja: Phenomena Associater: Linking Multi-domain Spatio-Temporal Datasets. DASFAA (2) 2017: 672-676
  13. P. Janeja, C. Seaman, K. Kephart, A. Gangopadhyay, A. Everhart: Cybersecurity workforce development: A peer mentoring approach. ISI 2016: 267-272
  14. Misal, V.P. Janeja, S. Pallaprolu, Y. Yesha, and R. Chintalapati, Iterative Unified Clustering in Big Data, KDD BHI Workshop, in conjunction with IEEE Big Data 2016
  15. Pallaprolu, J. Namayanja, V. P. Janeja, and C.T. Adithya, Label Propagation in Big Data to Detect Remote Access Trojans Pattern Mining and Application of Big Data (BigPMA 2016), in conjunction with IEEE Big Data 2016
  16. Kench, V. P. Janeja , Y. Yesha , N. Rishey, M. A. Grasso, A. Niskar, Clinico-genomic data analytics for precision diagnosis and disease management, IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015)
  17. Alodadi, V.P. Janeja, Similarity in Patient Support Forums Using TF-IDF and Cosine Similarity Metrics, Finalist in Healthcare Data Analytics Challenge, IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015)
  18. Azari, V.P. Janeja, S. Levin, Imbalanced Learning to Predict Long Stay Emergency Department Patients, Workshop on Health Informatics and Data Science (HI-DS), In conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015.
  19. Kench, V. P. Janeja , Y. Yesha , N. Rishey, Clinico-genomic Decision Support System for Precision Diagnostics and Management, AMIA 2015
  20. Feng, V. P. Janeja, Y. Yesha, Naphtali Rishe, Michael A. Grasso and Amanda Niskar. Poster: Classifying Primary Outcomes in Rheumatoid Arthritis: Knowledge Discovery from Clinical Trial Metadata, 2015 IEEE 5th International Conference on Computational Advances in Bio and medical Sciences (ICCABS) 2015
  21. Gholap, V. Janeja, Y. Yesha, Raghu Chintalapati, Harsh Marwaha, and Kunal Modi, Collaborative Data Mining For Clinical Trial Analytics, Workshop on Data Mining in Translational Biomedical Informatics, In conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015.
  22. Grover, J. Gholap, V. Janeja, Y. Yesha, Raghu Chintalapati, Kunal Modi, and Harsh Marwaha, SQL Like Big Data Environments: Case study in Clinical Trial Analytics, 1st International Workshop on Deriving Value from Big Data in Healthcare, In conjunction with The IEEE International Conference on Big Data (IEEE BigData 2015)
  23. Gholap, V. Janeja, and Y. Yesha, Unified Framework For Clinical Data Analytics (U-CDA), Poster, IEEE International Conference on Big Data (IEEE BigData 2015)
  24. M. Namayanja, V.P. Janeja, Change Detection in Evolving Computer Networks: Changes in Densification and Diameter Over Time, IEEE International Conference on Intelligence and Security Informatics, 2015, Baltimore MD
  25. Quader, V.P. Janeja, Justin Stauffer, Persistent Threat Pattern Discovery, IEEE International Conference on Intelligence and Security Informatics, 2015, Baltimore MD
  26. M. Namayanja, V.P. Janeja, Change Detection In Temporally Evolving Computer Networks: A Big Data Framework, First International Workshop on High Performance Big Graph Data Management, Analysis, and Mining, co-located with the IEEE BigData 2014
  27. P. Janeja, A. Azari, J. M. Namayanja, B. Heilig, B-DIDS: Mining Anomalies In A Big-Distributed Intrusion Detection System, Poster, 2014 IEEE International Conference on Big Data October 27-30, 2014, Washington DC, USA
  28. Sun, V. P. Janeja, STOUT: Spatio-Temporal Outlier detection Using Tensors, ACM SIGKDD 2014 Workshop, ODD2 Outlier Detection & Description under Data Diversity, New York on August, 2014.
  29. Quader, V.P. Janeja, Computational Models to Capture Human Behavior in Cybersecurity Attacks, The Third ASE International Conference on Cyber Security May, 2014, Stanford, CA
  30. M. Namayanja, V.P. Janeja, Discovery of Persistent Threat Structures through Temporal and Geo-Spatial Characterization in Evolving Networks, Intelligence and Security Informatics (ISI), 2013 IEEE International Conference on, vol., no., pp.191,196, 4-7 June 2013, doi: 10.1109/ISI.2013.6578817
  31. Azari, V.P. Janeja, Scott Levin, Predicting Hospital Admissions from the Emergency Department to Reduce Boarding, Poster at Healthcare Systems Process Improvement Conference, 2013, New Orleans
  32. Azari, V.P. Janeja, Predicting Hospital Length of Stay (PHLOS): A Multi-Tiered Data Mining Approach, The Third Workshop on Biological Data Mining and its Applications in Healthcare (BioDM), pp. 17-24, 2012 IEEE 12th International Conference on Data Mining Workshops, 2012
  33. McGuire, A. Gangopadhyay, V.P. Janeja, Exploring Multivariate Spatio-Temporal Change in Climate Data Using Image Analysis Techniques, In Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications (COM.Geo ’12). ACM, New York, NY, USA, , Article 13 , 10 pages. DOI=10.1145/2345316.2345333 http://doi.acm.org/10.1145/2345316.2345333
  34. Sun, V. P. Janeja, M. McGuire, and A. Gangopadhyay. Tnet: Tensor-based neighborhood discovery in traffic networks. International Workshop on Spatio-Temporal data Integration and Retrieval (STIR2012), April 1, 2012, Washington DC, USA, 2012.
  35. P. McGuire, V.P. Janeja and A. Gangopadhyay, Characterizing Sensor Datasets with Multi-Granular Spatio-Temporal Intervals, Poster paper accepted at the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011)
  36. Dey, V. P. Janeja, and A. Gangopadhyay, Temporal Neighborhood Discovery using Markov Models, IEEE International Conference on Data Mining series (ICDM 2009).
  37. Shi, V.P. Janeja, Anomalous Window Discovery through Scan Statistics for Linear Intersecting Paths (SSLIP), 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’09), (Paris, France, June 28 – July 01, 2009), ACM, New York, NY, 767-775
  38. Mohammadi, V.P. Janeja and A. Gangopadhyay, Discretized Spatio-Temporal Scan Window, 9th SIAM International conference on Data Mining, SIAM, 2009, 1197-1208
  39. Lindvall, R.L. Feldmann, G. Karabatis, Z. Chen, V.P. Janeja, Searching for Relevant Software Change Artifacts using Semantic Networks, 24th ACM Symposium on Applied Computing, Software Engineering, Hawaii, USA, March 2009, ACM, New York, NY, 496-500
  40. P. McGuire, V.P. Janeja and A. Gangopadhyay, Spatiotemporal Neighborhood Discovery for Sensor Data, In the second International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD ’08), Las Vegas, NV, August 23, 2008.
  41. R. Adam, V. P. Janeja, A. V. Paliwal, B. Shafiq, C. Ulmer, V. Gersabeck, Anne Hardy, Christof Bornhövd, Joachim Schaper: Approach for Discovering and Handling Crisis in a Service-Oriented Environment. Intelligence and Security Informatics, 2007 IEEE, vol., no., pp.16-24, 23-24 May 2007.
  42. Adam, V. Atluri, V. P. Janeja, A. Paliwal, M. Youssef, S. Chun, J. Cooper, J. Paczkowski, C. Bornhoevd, I. Nassi, and J. Schaper, “Semantics-based Threat Structure Mining”, National Conference on Digital Government Research (dg.o), May 2006, 367-368.
  43. P. Janeja and V. Atluri, “FS3: A Random Walk based Free-Form Spatial Scan Statistic for Anomalous Window Detection”, IEEE International Conference on Data Mining (ICDM), November 2005, 661-664.
  44. P. Janeja, V. Atluri, A. Gomaa, N. Adam, C. Bornhoevd, and T. Lin, “DM-AMS: Employing Data Mining Techniques Alert Management”, National Conference on Digital Government Research, (dg.o), May 2005, 103-111.
  45. P. Janeja, V. Atluri, J. S. Vaidya, and N. Adam, “Collusion Set Detection through Outlier Discovery”, IEEE Intelligence and Security Informatics (IEEE ISI), May 2005, 1-13.
  46. P. Janeja and V. Atluri, “LS3: A Linear Semantic Scan Statistic Technique for Detecting Anomalous Windows”, ACM Symposium on Applied Computing (ACM SAC), March 2005, 493-497.
  47. P. Janeja, V. Atluri, and N. R. Adam, “Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations”, National Conference on Digital Government Research (dg.o), May 2004, 1-10.
  48. R. Adam, V. P. Janeja, and V. Atluri, “Neighborhood based Detection of Anomalies in High Dimensional Spatio-temporal Sensor Datasets”, ACM Symposium on Applied Computing (ACM SAC), March 2004, 576-583.
  49. P. Janeja, V. Atluri, and N. R. Adam, “OUTLAW: Using Geo-Spatial Associations for Outlier Detection and Visual Analysis of Cargo Routes”, National Conference on Digital Government Research (dg.o), May 2002, 1-19.

 

Book

 

  1. Data Analytics for Cybersecurity, V. P. Janeja, Cambridge Press, April 2022

 

Book chapter/ Encyclopedia entries

 

  1. Chhaya Kulkarni, Sandipan Dey, and Vandana P. Janeja, Discovery of Robust Distributions of COVID-19 Spread, Use of AI, Robotics, and Modern Tools to Fight Covid-19, Eds. Arpit Jain, Abhinav Sharma, Jianwu Wang and Mangey Ram, River Press, June 2021
  2. Josephine M. Namayanja and Vandana P. Janeja, Characterization of Evolving Networks for Cybersecurity, Information Fusion for Cyber-Security Analytics, Eds. Izzat M Alsmadi, George Karabatis and Ahmed Aleroud
  3. P. Janeja, N. R. Adam, Homeland Security and Spatial Data Mining. Encyclopedia of GIS 2017: 859-866
  4. Shi, V.P. Janeja. Linear Shaped Scan Statistic. Encyclopedia of GIS 2017: 1123-1129
  5. M. Namayanja, V. P. Janeja Characterization of Evolving Networks for Cybersecurity, Information Fusion for Cyber-Security Analytics, Volume 691 of the series Studies in Computational Intelligence pp 111-127, 2016
  6. R. Adam, V. P. Janeja, Aabhas V. Paliwal, Vijay Atluri, Soon Ae Chun, Jim Cooper, John Paczkowski, Christof Bornhovd and Joachim Schaper, Semantics-based Threat Structure Mining for Homeland Security, Integrated Series in Information Systems , Vol. 17: Digital Government, Hsinchun Chen, Lawrence Brandt, Valerie Gregg, Roland Traunmuller, Sharon Dawes, Eduard Hovy, Ann Macintosh, and Catherine A. Larson. (eds.) E-Government Research, Case Studies and Implementations, Springer, 2008: pp 307-329.
  7. P. Janeja and N. R. Adam, “Geo Spatial Data Mining Techniques for Homeland Security Applications”, for Encyclopedia of Geographic Information Science, S. Shekhar and H. Xiong, Eds., Springer, 2007.

 

Non-Peer-Reviewed Works

  1. Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja: How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey. CoRR abs/2111.14203 (2021)
  2. Watson, G., Khanjani, Z., & Janeja, V. P. (2021). Audio Deepfake Perceptions in College Going Populations. arXiv preprint arXiv:2112.03351.
  3. R. Adam, V. Atluri, R. Koslowski, R. Grossman, V. P. Janeja, and J. Warner, “Secure Interoperation for Effective Data Mining in Border Control and Homeland Security Applications” (NSF Highlights), National Conference on Digital Government Research (dg.o), May 2006, San Diego, CA.
  4. Adam, V. Atluri, V. P. Janeja, J. Vaidya, M. Youssef, A. Snbl, C. Bornhoevd, S. Raiyani, T. Lin, J. Cooper, and J. Paczkowski, “Semantic Graph based Knowledge Discovery from Heterogeneous Information Sources”, Working Together: Conference on Public/Private R&D Partnerships in Homeland Security, April 2005, Boston, MA.
  5. R. Adam, V. Atluri, and V. P. Janeja, Poster on “Secure Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications”, IEEE Intelligence and Security Informatics (IEEE ISI), June 2004, Tucson, AZ.
  6. R. Adam, V. Atluri, and V. P. Janeja, “Secure Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications” (NSF Highlights), National Conference on Digital Government (dg.o), May 2004, Seattle, WA.
  7. Koslowski and V. P. Janeja, “E-Business Solutions to Border Control Challenges”, white paper for SAP America Inc, June 2002.
  8. P. Janeja, “Visualization Techniques for Routing Protocols and Router Configurations”, The International Students Poster Competition: Technical Symposium on Computer Science Education (SIGCSE), February 2002, Cincinnati, OH.
  9. Pursnani, “Introduction to Java Servlet Programming”, ACM Crossroads, November 2001.

 

Community Workshop reports and commentaries

 

  1. Vandana P. Janeja, James Foulds, Testimony in support of Algorithmic Decision Systems –Procurement and Discriminatory Acts: role of Responsible AI, Testimony to the Health and Government Operations Committee, HOUSE BILL 1323, Algorithmic Decision Systems –Procurement and Discriminatory Acts, March 15, 2021
  2. Shimei Pan, James Foulds, Vandana Janeja, Lisa Singh, Cathryn Carson, Susan Sterett, Bill Howe, Executive Summary, Including Ethics in Data Science Pedagogy (EDSP-2019), June 17-18, 2019, Alexandria, VA
  3. Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:Data Science for Earth: An Earth Day Report. SIGKDD Explorations 22(1): 4-7 (2020)
  4. Chaitan Baru, Sarah Bird, Alan Blatecky, David Culler, Robert L. Grossman, Bill Howe, Vandana P. Janeja, Meredith M. Lee, Raghu Machiraju, Elena Zheleva, Translational Data Science Delivering the benefits of translational data science for science and society, Nature Correspondence, https://www.nature.com/articles/d41586-018-06804-4, 26 September 2018.
  5. Jeannette M. Wing, Vandana P. Janeja, Tyler Kloefkorn, and Lucy C. Erickson, Data Science Leadership Summit Summary Report, A Report on the summit held at Columbia University, March 26th ACM Digital library
  6. Michael Bailey, Christian Conroy, Vandana Janeja, The Data Science Corps , Making a Difference by Connecting Experts to Projects, A Report on the December 2017 Data Science Corps Workshop. ACM Digital library

 

Blog posts and Misc. articles

 

  1. P. Janeja, Predicting the coronavirus outbreak: How AI connects the dots to warn about disease threats, The conversation (with reprints in Gizmodo Australia, Scifigeneration, Eonotimes, Government Technology, Government Computer News, Defense One, Next Gov, Medical Express, Times Union and others)
  2. P. Janeja, Do No Harm: An Ethical Data Life Cycle, AAAS Sci on the Fly, April 2019.
  3. P. Janeja and Lucy Erickson, Increasing participation of women in computing fields: A data science perspective, AAAS Sci on the Fly, March 2019.