Publications Page by Type

Publications List by Type [ By Year ] (Refereed Articles Published)
(student co-authors are italicized)

Refereed Workshop/Conference Articles

  1. S. B. Manir, K. M. S. Islam, P. Madiraju and P. Deshpande, "LLM-Based Text Prediction and Question Answer Models for Aphasia Speech," in IEEE Access, vol. 12, pp. 114670-114680, 2024, doi: 10.1109/ACCESS.2024.3443592.
  2. J.Wu, P.Annapureddy, P.Madiraju, S.I. Ahamed, J.Hernandez-Meier, C.Kostelac, J.Dickson-Gomez, "Analysis and Prediction of In- Hospital Risks Among COVID-19 Patients with Substance Use Disorder (SUD)," 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) , Osaka, Japan, 2024, pp. 833-842, doi: 10.1109/COMPSAC61105.2024.00116.
  3. MD Romael Haque, Zeno Franco, Praveen Madiraju, Natalie D Baker, Sheikh Iqbal Ahamed, Otis Winstead, Robert Curry, and Sabirat Rubya. 2024. "Butt call me once you get a chance to chat 🙂" : Designing Persuasive Reminders for Veterans to Facilitate Peer-Mentor Support. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 874, 1–17. https://doi.org/10.1145/3613904.3642962
  4. Kevin Chovanec, John Fields, and Praveen Madiraju. "Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data", Proceedings of 2023 IEEE International Conference on Big Data (IEEE BigData 2023) , Sorrento, Italy, 2023, pp. 1403-1409, doi: 10.1109/BigData59044.2023.10386843. (acceptance rate : 92/526). https://ieeexplore.ieee.org/abstract/document/10386843
  5. Manoj Purohit and Praveen Madiraju. "Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques", Proceedings of 2023 IEEE International Conference on Big Data (IEEE BigData 2023) , Special Session on HealthCare Data, Sorrento, Italy, 2023, pp. 4954-4962, doi: 10.1109/BigData59044.2023.10386523. https://ieeexplore.ieee.org/abstract/document/10386523
  6. K M Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, and Priya Deshpande. "Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models", Proceedings of 2023 IEEE International Conference on Big Data (IEEE BigData 2023), Special Session on HealthCare Data, Sorrento, Italy, 2023, pp. 4912-4921, doi: 10.1109/BigData59044.2023.10386778. https://ieeexplore.ieee.org/abstract/document/10386778
  7. MD Romael Haque, Zeno Franco, MD Fitrat Hossain, Wylie Frydrychowicz, Praveen Madiraju, Natalie D Baker, Katinka Hooyer, Sheikh Iqbal Ahamed, Otis Winstead, Robert Curry, Sabirat Rubya. Perceptions of Mental Health Crisis among U.S. Military Veteran Peer Mentors and Potential of Mobile-Based Peer-Support Interventions, In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (CSCW '23 Companion). Association for Computing Machinery, New York, NY, USA, pp. 33–38. https://doi.org/10.1145/3584931.3607009 https://dl.acm.org/doi/abs/10.1145/3584931.3607009
  8. Franco, Z., Baker, N., R. Okusanya, T., Haque, M. R., Gresser, J., Rubya, S., Madiraju, P.; Curry, J.; Winstead, O.; Hooyer, K.; Curry, R.; Medlock, C. & Medlock D. (2023). Customizing the BattlePeer App: Connecting First Responders with Peer Support to Manage Mental Health Crises. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 272–283). Omaha, USA: University of Nebraska at Omaha.
  9. Zachariah Farahany, Jiawei Wu, K M Sajjadul Islam, and Praveen Madiraju. "Oversampling techniques for predicting COVID-19 patient length of stay", Proceedings of 2022 IEEE International Conference on Big Data (IEEE BigData 2022) , Special Session on HealthCare Data, Osaka, Japan, 2022, pp. 5253-5262, doi: 10.1109/BigData55660.2022.10020253.
  10. Priyanka Annapureddy , Zeno Franco, Praveen Madiraju, Sheikh Iqbal Ahamed, Mark Flower, Md Fitrat Hossain , Md Romael Haque, Nadiyah Johnson, Sabirat Rubya, Natalie Danielle Baker, Niharika Jain, Otis Winstead. "Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier", Proceedings of 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Special Session on HealthCare Data, pp. 4633-4642, Dec. 2021, virtual event. link
  11. Jiawei Wu, Priyanka Annapureddy, Zach Farahany, Praveen Madiraju. "A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients", Proceedings of 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Special Session on HealthCare Data, pp.4790-4797, Dec. 2021, virtual event. link
  12. Jiawei Wu, Priyanka Annapureddy, Zach Farahany, Praveen Madiraju. "A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients", Proceedings of 2021 IEEE International Conference on Digital Health (ICDH 2021) , pp.223-225, Dec. 2021, Orlando, Florida. link
  13. Olawunmi George, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed. "Motor Imagery: A Review of Existing Techniques, Challenges and Potentials", 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC 2021), pp.1893-1899, July 2021, Madrid, Spain. link
  14. Sarah McDougall , Priyanka Annapureddy , Praveen Madiraju, Nicole Fumo, Stephen Hargarten. "Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning", Proceedings of 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Special Session on HealthCare Data , Dec. 10-13, 2020, virtual event. link
  15. Alex Salamun , Stephanie Duque, Praveen Madiraju. "Analyzing Adverse Event Signal Detection with Publicly Available Web Sources", Proceedings of IEEE Workshop on Data Science in Medicine and Healthcare, in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020) , Dec. 10-13, 2020, pp. 4892-4901, virtual event. link
  16. Priyanka Annapureddy, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowicz, Paromita Nitu, Joseph Coelho, Nadiyah Johnson, Praveen Madiraju, Zeno Franco, Katinka Hooyer, Niharika Jain, Mark Flower, Sheikh Ahamed. "Predicting PTSD Severity in Veterans from Self-reports for Early Intervention: A Machine Learning Approach", Proceedings of IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2020) , Aug. 11- Aug. 13, 2020, pp. 201–208, virtual event. link
  17. Paromita S Nitu, Praveen Madiraju, Frank Pintar. "Identifying Feature Pattern for Weighted Imbalance Data: A Feature Selection Study for Thoracolumbar Spine Fractures in Crash Injury Research",Proceedings of IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2020), Aug. 11- Aug. 13, 2020, pp. 142–147, virtual event. link
  18. Nadiyah Johnson,Joseph Coelho, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowi, Praveen Madiraju, Zeno Franco, Katinka Hooyer, Priyanka Annapureddy, and Sheikh Iqbal Ahamed. "Understanding Veterans Expression of Anger Using Social Media Analysis", Proceedings of the 44th IEEE Annual Computer Software and Applications Conference Workshops (COMPSAC-Workshops 2020) , July 13-17, 2020, pp.1664-1669, virtual event. link
  19. Md Fitrat Hossain, Thomas Kissane, Priyanka Annapureddy, Wylie Frydrychowicz, Sheikh Iqbal Ahamed, Naveen Bansal, Praveen Madiraju, Niharika Jain, Mark Flower, Katinka Hooyer, Lisa Rein, Zeno Franco. "Implementing Algorithmic Crisis Alerts in mHealth Systems for Veterans with PTSD", Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM) , Blacksburg, VA, USA May 2020 link
  20. Joseph Coelho, Katinka Hooyer, Danielle Olsen, Priyanka Annapureddy, Nadiyah Johnson, Praveen Madiraju, Zeno Franco, Mark Flower, Sheikh Iqbal Ahamed. "Veterans, PTSD and Social Media: Towards Identifying Trauma Text Categories using Grounded Theory", Proceedings in Companion of the 2020 ACM International Conference on Supporting Group Work (ACM GROUP 2020), Extended Abstract, Sanibel Island, Florida, USA, January 6-8, 2020, pp. 115-118 link
  21. Jiawei Wu, Wenliang Hu, Joseph Coelho, Paromita Nitu, Hanna R. Paul, Praveen Madiraju, Roger O. Smith, Sheikh I. Ahamed. "Identifying Buildings with Ramp Entrances Using Convolutional Neural Networks", Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference Workshops (COMPSAC-Workshops 2019) , Milwaukee, USA, July, 2019, pp.74-79. link
  22. Joseph Coelho, Dawson d’Almeida, Scott Coyne, Katelyn Mills, Nathan Gilkerson, Praveen Madiraju. "Social Media and Forecasting Stock Price Change", Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference Workshops (COMPSAC-Workshops 2019) , Milwaukee, USA, July, 2019, pp. 195-200. link
  23. Olawunmi George, Rizwana Rizia, MD Fitrat Hossain, Nadiyah Johnson, Carla Echeveste, Jose Lizarraga Mazaba, Katinka Hooyer, Zeno Franco, Mark Flower, Sheikh Iqbal Ahamed, Praveen Madiraju, and Lisa Rein . “Visualizing Early Warning Signs of Behavioral Crisis in Military Veterans: Empowering Peer Decision Support”, WiPe Paper – Community Engagement & Healthcare Systems, Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM) València,Spain, May, 2019, pp.1077-1088 link
  24. Md Fitrat Hossain, Olawunmi George, Nadiyah Johnson, Praveen Madiraju, Sheikh Iqbal Ahamed, Mark Flower, Zeno Franco, Kantinka Hooyer, Lisa Rein, Jose Lizarraga Mazaba. "Towards Clinical Decision Support for Veteran Mental Health Crisis Events using Tree Algorithm", Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference Workshops (COMPSAC-Workshops 2019) , Milwaukee, USA, July, 2019, pp.386-390 link
  25. Joseph Coelho, Paromita Nitu and Praveen Madiraju. "A Personalized Travel Recommendation System Using Social Media Analysis", work in progress paper, IEEE International Congress on Big Data , San Francisco, CA, USA, July 2-7, 2018, pp. 260-263 link
  26. Scott Coyne, Praveen Madiraju and Joseph Coelho. "Forecasting Stock Prices using Social Media Analysis", The 3rd IEEE International Conference on Big Data Intelligence and Computing (DataCom 2017), Orlando, Florida, USA, November 6-10, 2017, pp. 1031 - 1038. link
  27. Mohammad Kayes Kaykobad, Praveen Madiraju, and Sheikh Iqbal Ahamed. "Ring : Should I Interrupt or Not? – A Mobile Interruption Management System", The 15th IEEE International Conference on Pervasive Intelligence and Computing (PICOM-2017), Orlando, Florida, USA, November 6-10, 2017, pp. 877 - 882. link
  28. Ivor D. Addo, Praveen Madiraju, Sheikh I. Ahamed, and William C. Chu. "Privacy Preservation in Affect-Driven Personalization", 11th IEEE International Workshop on Security, Trust, and Privacy for Software Applications (STPSA 2016), in conjunction with 40th IEEE Annual Computer Software and Applications Conference , Atlanta, USA, June 10-14, 2016, pp. 400-405 link
  29. Philip Martinkus and Praveen Madiraju. Personalizing Places of Interest Using Social Media Analysis, 31st International Conference on Computers and Their Applications (CATA 2016), Las Vegas, Nevada, April 4-6, 2016, pp.165-169. link
  30. W. Vilwock, P. Madiraju and S. I. Ahamed. A System Implementation of Interruption Management for Mobile Devices. Proceedings of the 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE 2013), Sydney, Australia, December 3-5, 2013 pp.181-187. (IEEE)
  31. S. Zulkernain, S., Praveen Madiraju, and Sheikh I. Ahamed. A Context-aware Cost of Interruption Model for Mobile Devices. 8th IEEE Workshop on Context Modeling and Reasoning (CoMoRea 2011) in conjunction with the 9th IEEE International Conference on Pervasive Computing and Communication (PerCom'11), 2011. 5 pages.
  32. S. Zulkernain, P. Madiraju, and S.I. Ahamed, A Context Aware Interruption Management System for Mobile Devices, Proceedings of The Third International ICST Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (Mobilware 2010), Chicago, IL, USA, June 30-July 2, 2010, pp. 221-234. (Springer Lecture Notes of ICST.)
  33. K. Stamm, S. Ahamed, P. Madiraju, and S. Zulkernain, Mobile Intelligent Interruptions Management (MIIM): A Context Aware Unavailability System, Proceedings of 25th Annual ACM Symposium on Applied Computing (SAC 2010), Sierre, Switzerland, March 22 - 26, 2010, pp. 599-600.  (Acceptance rate:  28%)
  34. S.I. Ahamed, D. Brylow, R. Ge, P. Madiraju, S. Merrill, and C. Struble, Computational Thinking for the Sciences : A Three Day Workshop For High School Science Teachers, Proceedings of The 41st ACM Technical Symposium on Computer Science Education (SIGCSE 2010), Milwaukee, WI, March 10-13, 2010, pp. 42-46. (Acceptance rate: 34%)
  35. M. Molla, P. Madiraju S.Malladi, and S. Ahamed, An XML Based Access Control Architecture for Pervasive Computing, Proceedings of The Seventh Annual IEEE International Conference on Pervasive Computing and Communications - Workshops (PerCom Workshops 2009), Galveston, Texas, USA, March, 2009, pp. 777-782.  (Acceptance rate:  20%)
  36. Z. Dzolkhifli, H. Ibrahim, L. Affendey, and P. Madiraju, A Framework for Caching Relevant Data Items for Checking Integrity Constraints of Mobile Database, Proceedings of Third IEEE International Conference on Digital Information Management (ICDIM 2008), London (UK), November 13-16, 2008, pp. 476-482.  (Acceptance rate: 38%; 132/342)
  37. H. Ibrahim, Z. Dzolkhifli, and P. Madiraju, A Model for Checking the Integrity Constraints of Mobile Databases, Proceedings of the Third International Workshop on MObile and NEtworking Technologies for social applications (MONET08), Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, Monterrey (Mexico), November 9-14, 2008, pp. 548-560. (Acceptance rate: 40%)
  38. S. Burugu, P. Madiraju, and H. Ibrahim, Constraint Optimization for a System of Relational Databases, Proceedings of IEEE 8th International Conference on Computer and Information Technology (CIT 2008), Sydney, Australia, July 8-11, 2008, pp. 155-160. (Acceptance rate: 27%; 150/550)
  39. H. Ibrahim, Z. Dzolkhifli, and P. Madiraju, Checking the Integrity Constraints of Mobile Databases with Three-Level Model, Proceedings of 25th British National Conference on Databases (BNCOD 2008), Lecture Notes in Computer Science, Springer, Cardiff University, UK, July 8-10, 2008, pp. 185-188. (Acceptance rate: 15.5% for posters)
  40. A. Laga and P. Madiraju, A Framework for Constraint Checking Involving Aggregates for Multiple XML Databases using Schematron, Proceedings of 16th International Conference on Software Engineering and Data Engineering (SEDE-2007), Las Vegas, NV, USA, July 2007, pp. 32-38. (Acceptance rate: 56.6%)
  41. A. Laga, P. Madiraju, D. Mazzari, and G. Dara, Translating XSLT into XQuery, Proceedings of 15th International Conference on Software Engineering and Data Engineering (SEDE-2006), Los Angeles, California, July 6-8, 2006, pp. 223-227. (Acceptance rate: 22% for short papers)
  42. P. Madiraju, R.Sunderraman, and H. Wang, A Framework for Global Constraint Checking Involving Aggregates in Multidatabases Using Granular Computing, Proceedings of 2006 IEEE International Conference on Granular Computing (IEEE-GrC 2006), Atlanta, Georgia, May, 2006, pp. 506-509. (Acceptance rate : 31.77%, 102/321 for 4-page papers)
  43. S.K. Prasad, A. Bourgeois, P. Madiraju, and S. Malladi, A Methodology for Engineering Collaborative Applications over Mobile Web Objects using SyD Middleware, Proceedings of 2005 IEEE International Conference on Web Services (ICWS 2005), Orlando, July, 2005, pp. 496-504. (Acceptance rate: 19%)
  44. H. Wang, R. Sunderraman, Y. Zhang, and P. Madiraju, A Generalized SQL Query Construct for Paraconsistent Intuitionistic Fuzzy Databases, Proceedings of 2005 Annual North American Fuzzy Information Processing Society (NAFIPS-2005), Ann Arbor, Michigan, June 22-25, 2005, pp.682-686. (IEEE Computer Society Press)
  45. R. Sunderraman, E. Dogdu, P. Madiraju, and L. Malladi, A Java API for Global Querying and Updates for a System of Databases, Proceedings of 43rd ACM South East Conference, Georgia, March, 2005. (Acceptance rate : 60% for regular papers)
  46. P. Madiraju and R. Sunderraman, An Efficient Constraint Planning Algorithm for Multidatabases, Proceedings of 2005 ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2005), Cairo, Egypt, January 3-6, 2005, pp. 36-I (8 pages). (Acceptance rate: 33% for regular papers)
  47. P. Madiraju, R. Sunderraman, and S. Navathe, Semantic Integrity Constraint Checking for Multiple XML Databases, Proceedings of 14th Workshop on Information Technology and Systems (WITS 2004), Washington, D.C., December, 2004. (Acceptance rate: 26.9%, 42/156; Best paper nominee)
  48. S.K. Prasad, V. Madisetti, S. Navathe, R. Sunderraman, E. Dogdu, A. Bourgeois, M. Weeks, B. Liu, J. Balasooriya, A. Hariharan, W. Xie, P. Madiraju, S. Malladi, R. Sivakumar, A. Zelikovsky, Y. Zhang, Y. Pan, and S. Belkasim, SyD: A Middleware Testbed for Collaborative Applications over Small Heterogeneous Devices and Data Stores, Proceedings of ACM/IFIP/USENIX, 5th International Middleware Conference, Toronto, Ontario, Canada, October 18th - 22nd, 2004, pp. 352-371. (Acceptance rate: 12.8%, 25/194)
  49. P. Madiraju, S. Prasad, R. Sunderraman, and E. Dogdu. An Agent Module for a System on Mobile Devices, Proceedings of the 3rd International Workshop on Agents and Peer-to-Peer Computing (AP2PC 2004) in conjunction with Third International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2004), New York, July 2004, pp. 144-152. (Acceptance rate: 39% for regular papers)
  50. P. Madiraju and R. Sunderraman, A Mobile Agent Approach for Global Database Constraint Checking, Proceedings of 19th Annual ACM Symposium on Applied Computing (SAC'04), Nicosia, Cyprus, 2004, pp. 679-683. (Acceptance rate: 38%)
  51. S.K. Prasad, V. Madisetti, S. Navathe, R.Sunderraman, E. Dogdu, A. Bourgeois, M. Weeks, and Students: B. Liu, J. Balasooriya, A. Hariharan, W. Xie, P. Madiraju, S. Malladi, R. Sivakumar, A. Zeikovsky, Y. Zhang, Y. Pan, and S. Belkasim, A Middleware for Collaborative Applications on System on Devices (SyD), Demo and Poster in the International Conference on Mobile Systems, Applications, and Services (MobiSys), San Francisco, May 6-8, 2003.
  52. P. Madiraju and Y. Zhang, Web Usage Data Mining Agent, Proceedings of SPIE: Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Vol. 4730, April 2002, pp. 224-228.

Refereed Book Chapter Articles

  1. P. Madiraju, R. Sunderraman, S. Navathe and H. Wang, Integrity Constraint Checking for Multiple XML Databases, Advanced Principles for Improving Database Design, Systems Modeling, and Software Development, ISBN: 978-1-60566-172-8, November 2008, Information Science Reference (formerly Idea Group Reference) (invited book chapter).

Refereed Journal Articles

  1. Franco, Z., Ruffalo, L., Curry, B., Gollin-Graves, M., Ahamed, S. I., Winstead, O., Hooyer, K., Pazdera, M., Rein, L., Lizarraga Mazaba, J., Hossain, Md. F., Stoffel, V., Flower, M., Madiraju, P., Melka, S., Berte, K., & Whittle, J. (2024). Impact of veteran-led peer mentorship on posttraumatic stress disorder. Journal of Traumatic Stress , 37, 617–630. https://doi.org/10.1002/jts.23038. link
  2. John Fields, Kevin Chovanec, and Praveen Madiraju. A Survey of Text Classification with Transformers: How wide? How large? How long? How accurate? How expensive? How safe?, in IEEE Access , doi: 10.1109/ACCESS.2024.3349952. link : https://ieeexplore.ieee.org/document/10380590
  3. Olawunmi George, Sarthak Dabas, Abdur Sikder, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed. "Enhancing motor imagery decoding via transfer learning", Smart Health, Volume 26,2022, 100339,ISSN 2352-6483, link
  4. Olawunmi George, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed. "State-of-the-Art Versus Deep Learning: A Comparative Study of Motor Imagery Decoding Techniques", "Data augmentation strategies for EEG-based motor imagery decoding", Heliyon,Volume 8, Issue 8,2022,e10240,ISSN 2405-8440, link
  5. Olawunmi George, Sarthak Dabas, Abdur Sikder, Roger O Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed. "State-of-the-Art Versus Deep Learning: A Comparative Study of Motor Imagery Decoding Techniques", IEEE Access , Vol. 10, pp. 45605-45619, 2022. link
  6. Paromita Nitu, Joseph Coelho, Praveen Madiraju. "Improvising personalized travel recommendation system with recency effects", Big Data Mining and Analytics 4(3) : 139-154, 2021. link
  7. S. Zulkernain, P.Madiraju, and S. I. Ahamed, A Mobile Intelligent Interruption Management System, Journal of Universal Computer Science, Vol. 16, No. 15, 2010, pp. 2060-2080.
  8. P. Madiraju, S. Malladi, J. Balasooriya, A. Hariharan, S.K. Prasad, and A. Bourgeois, A Methodology for Engineering Collaborative and Ad-hoc Mobile Applications Using SyD Middleware, Journal of Network and Computer Applications, Vol. 33, Issue 5, September 2010, pp. 542-555 (Elsevier).
  9. H.Ibrahim, Z. Dzolkhifli, L. Suriani Affendey, and P. Madiraju, 3-L Model: A Model for Checking the Integrity Constraints of Mobile Databases, Journal of Computing Science and Engineering, Vol. 3, No. 4, December 2009, pp. 260-277.
  10. Bein, W. Bein, and P. Madiraju, The Impact of Cloud Computing on Web 2.0, Economy Informatics Journal, Vol. 9, No. 1, September 2009, pp. 5-12.
  11. Z. Dzolkhifli, H. Ibrahim, L. Suriani Affendey, and P. Madiraju. A Framework for Improving Integrity Constraints Checking of Mobile Databases by Caching Relevant Data Items, Journal of Digital Information Management, Vol. 7, Issue 3, June 2009, pp. 137-142.
  12. Laga, P. Madiraju, and D. Mazzari. An Approach to Translate XSLT into XQuery, International Journal of Computer Science and Software Technology (IJCSST) , Vol. 1, No. 2, 2008, pp. 83-91.
  13. P. Madiraju, R. Sunderraman, S. Navathe, and H. Wang, Semantic Integrity Constraint Checking for Multiple XML Databases, Journal of Database Management, Vol. 17, No. 4, 2006, pp. 1-19.
  14. H. Wang, P. Madiraju, Y. Zhang, and R. Sunderraman, Interval Neutrosophic Sets, International Journal of Applied Mathematics & Statistics, Vol. 3, No. M05, March 2005, pp. 1-18.