Robert C. Green II Ph.D.

Research

Translational machine learning and data analytics for kidney exchange and clinical decision systems, built on a foundation of computational intelligence and high performance computing.

ORCID Google Scholar ResearchGate

Working Papers & Preprints

  1. [Online] I. Khazrak, N. Mashhadi Nejad, M. Homaei, M. Rezaee, and R. C. Green II, “AI-Augmented Query Optimization: A Technical Survey of Foundations, Systems, and Open Challenges,” SSRN preprint, January 2026. Submitted to ACM Computing Surveys February 2026.
  2. [Online] T. Hassan, M. F. Karim, H. Jeelani, E. Behnam, R. Green, and F. J. Syed, “Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework,” arXiv preprint 2512.05863, December 2025.
  3. [Online] J. Ahmed, R. C. Green II, M. Alauddin, M. Jaman, and G. Saha, “Explainable machine learning approaches to assess the COVID-19 vaccination uptake: Social, political, and economic aspects,” Preprints.org, June 2022.

Journal Articles

  1. [Online] I. Khazrak, M. Homaei, M. M. Rezaee, and R. C. Green II, “Adaptive gradient-norm weighting for improved domain adversarial training,” International Journal of Data Science and Analytics, vol. 22, no. 1, p. 245, July 2026. Submitted February 2026. Accepted and Published July 2026.
  2. [Online] I. Khazrak, S. Takhirova, M. M. Rezaee, M. Yadollahi, R. C. Green II, and S. Niu, “Addressing Small and Imbalanced Medical Image Datasets Using Generative Models,” Artificial Intelligence and Applications, October 2025. Submitted July 2025. Revised/Accepted September 2025. Published October 2025.
  3. [Online] I. Khazrak, S. Zainaee, M. M. Rezaee, M. Ghasemi, and R. C. Green II, “Feasibility of Improving Vocal Fold Pathology Image Classification with Synthetic Images Generated by DDPM-based GenAI: A Pilot Study,” European Archives of Oto-Rhino-Laryngology, May 2025. Submitted January 2025. Revised March 2025. Accepted April 2025. Impact Factor: 1.9.
  4. [Online] D. D. Offei, D. Bekbolsynov, S. Stepkowski, and R. C. Green II, “Does Eplet Load and Electrostatic Mismatch Score Matter in Kidney Transplantation? A Machine Learning Approach,” Transplantology, vol. 6, no. 1, March 2025. Submitted December 2024. Revised/Accepted February 2025. Published March 2025.
  5. [Online] J. Ahmed and R. C. Green II, “Leveraging Survival Analysis in Cost-Aware DeepNet For Efficient Hard Drive Failure Prediction,” Neural Computing and Applications, vol. 37, no. 2, pp. 1089–1104, January 2025. Submitted January 2024. Revised and Accepted September 2024. Available Online October 2024. Impact Factor: 4.7.
  6. [Online] F. J. Syed, D. Bekbolsynov, S. Stepkowski, D. Kaur, and R. C. Green II, “Potential of 250 New Nautical Mile Concentric Circle Allocation System for Improving the Donor/Recipient HLA Matching: Development of New Matching Algorithm,” Transplant Immunology, vol. 87, p. 102146, December 2024. Submitted April 2024. Revised November 2024. Accepted November 2024. Impact Factor: 1.6.
  7. [Online] F. J. Syed, D. Bekbolsynov, S. Stepkowski, D. Kaur, and R. C. Green II, “Maximizing Matching, Equity and Survival in Kidney Transplantation Using Molecular HLA Immunogenicity Quantitation,” Computers in Biology and Medicine, vol. 174, p. 108452, May 2024. Submitted December 2023. Revised March 2024. Accepted and Available online April 2024. Impact Factor: 7.7.
  8. [Online] J. Ahmed and R. C. Green II, “Cost Aware LSTM Model for Predicting Hard Disk Drive Failures Base on Extremely Imbalanced S.M.A.R.T. Sensors Data,” Engineering Applications of Artificial Intelligence, vol. 127, p. 107339, January 2024. Submitted January 2023, Accepted October 2023. Published January 2024. Impact Factor: 8.0.
  9. [Online] D. V. S. R. Sesidhar, C. Badachi, and R. C. Green II, “A Review on Data-Driven SOC Estimation with Li-Ion Batteries: Implementation Methods & Future Aspirations,” Journal of Energy Storage, November 2023. Submitted January 2023, Accepted July 2023, Online August 2023. Impact Factor 9.4.
  10. [Online] D. Schellhas and R. C. Green II, “Human leukocyte antigen distributions do not share a copula across sub-populations,” Experimental Results, vol. 3, p. e24, October 2022.
  11. [Online] J. Ahmed and R. C. Green II, “Predicting severely imbalanced data disk drive failures with machine learning models,” Machine Learning with Applications, vol. 9, September 2022. Impact Factor: 6.3.
  12. [Online] D. Bekbolsynov, B. Mierzejewska, S. Khuder, O. Ekwenna, M. Rees, R. C. Green II, and S. Stepkowski, “Improving Access to HLA-Matched Kidney Transplants for African American Patients,” Frontiers in Immunology, vol. 13, March 2022. Impact Factor: 8.7.
  13. [Online] D. Bekbolsynov, B. Mierzejewska, J. Borucka, J. Breidenbach, B. Gehring, S. Leonard-Murali, S. A. Khuder, M. Rees, R. C. Green II, and S. Stepkowski, “Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival,” Frontiers in Immunology, vol. 11, pp. 1–11, October 2020. Impact Factor: 8.7.
  14. [Online] B. Snyder, R. C. Green II, V. Devabhaktuni, and M. Alam, “ReliaCloud-NS: A scalable web-based simulation platform for evaluating the reliability of cloud computing systems,” Software: Practice and Experience, vol. 48, no. 3, pp. 665–680, March 2018. Impact Factor: 2.6.
  15. [Online][PDF] R. C. Green II and V. Agrawal, “A case study in multi-core parallelism for the reliability evaluation of composite power systems,” Journal of Supercomputing, vol. 73, no. 12, pp. 5125–5149, December 2017.
  16. [Online][PDF] R. C. Green II, “Focus Driven Development: The "Could" and "Should" of Software Design,” J. Comput. Sci. Coll., vol. 33, no. 1, pp. 72–76, October 2017.
  17. [Online][PDF] M. Nasseri, J. Kim, R. Green, and M. Alam, “Identification of Optimum Relocation Time in Mobile Wireless Sensor Network using Time-Bounded Re-localization Methodology,” IEEE Transactions on Vehicular Technology, vol. 66, no. 1, pp. 344–357, January 2017.
  18. [Online] S. Gadde, W. Acosta, J. Ringenberg, R. Green, and V. Devabhaktuni, “Achieving Optimal Inter-Node Communication in Graph Partitioning using Random Selection and Breadth-First Search,” International Journal of Parallel Computing, vol. 44, no. 4, pp. 772–800, August 2016.
  19. [Online] W. Lausenhammer, D. Engel, and R. Green, “Utilizing Capabilities of Plug In Electric Vehicles with a new Demand Response Optimization Software Framework: Okeanos,” International Journal of Electrical Power and Energy Systems, vol. 75, pp. 1–7, February 2016.
  20. [Online] B. Snyder, J. Ringenberg, R. Green, V. Devabhaktuni, and M. Alam, “Evaluation and Design of Highly Reliable and Highly Utilized Cloud Computing Systems,” Journal of Cloud Computing: Advances, Systems, and Applications, vol. 4, no. 11, pp. 1–16, May 2015.
  21. [Online] R. Householder and R. Green, “Impacts of Multi-Class Oversubscription on Revenues and Performance in the Cloud,” International Journal of Cloud Computing, vol. 2, no. 1, January–March 2015.
  22. [Online] M. Nasseri, R. Green, M. Alam, J. Kim, V. Devabhaktuni, and W. Cheng, “Collaborative Re-Localization Method in Mobile Wireless Sensor Network Based on Markov Decision Process,” International Journal of Computer Networks, vol. 6, no. 5, pp. 76–107, September 2014.
  23. [Online] H. Al-Olimat, R. C. Green II, M. Alam, V. Devabhaktuni, and W. Cheng, “Particle Swarm Optimized Power Consumption of Trilateration,” International Journal of Foundations in Computer Science, vol. 4, no. 4, pp. 1–19, July 2014.
  24. [Online] M. Lakshminarayanan, W. Acosta, R. C. Green II, and V. Devabhaktuni, “Strategic and Suave Processing for Efficient and Scalable Similarity Joins Using MapReduce,” Journal of Supercomputing, vol. 69, no. 8, pp. 1–25, May 2014.
  25. [Online][Preprint] R. Householder, S. Arnold, and R. Green, “On Cloud-based Oversubscription,” International Journal of Engineering Trends and Technology, vol. 8, no. 8, pp. 425–431, February 2014.
  26. [Online] R. C. Green II, L. Wang, M. Alam, and C. Singh, “Intelligent State Space Pruning for Monte Carlo Simulation with Applications in Composite Power System Reliability,” Engineering Applications of Artificial Intelligence, vol. 26, no. 7, pp. 1707–1724, August 2013.
  27. [Online] R. C. Green II, L. Wang, and M. Alam, “Applications and Trends of High Performance Computing for Electric Power Systems: Focusing on Smart Grid,” IEEE Transactions on Smart Grid, vol. 4, no. 2, pp. 922–931, June 2013.
  28. [Online] S. Depuru, L. Wang, V. Devabhaktuni, and R. C. Green II, “High Performance Computing for Detection of Electricity Theft,” International Journal of Electrical Power & Energy Systems, vol. 47, pp. 21–30, May 2013.
  29. [Online] V. Devabhaktuni, M. Alam, S. S. S. R. Depuru, R. C. Green II, D. Nims, and C. Near, “Solar energy: trends and enabling technologies,” Renewable and Sustainable Energy Reviews, vol. 19, pp. 555–564, March 2013.
  30. [Online] H. Gudavalli, J. Ringenberg, S. Depuru, R. C. Green II, R. Molyet, and V. Devabhaktuni, “A Review of Global Energy Education Initiatives,” International Journal of Advances in Science and Technology, vol. 5, no. 5, December 2012.
  31. [Online] R. C. Green II, L. Wang, M. Alam, and R. A. Formato, “Central force optimization on a GPU: A case study in high performance metaheuristics,” Journal of Supercomputing, vol. 62, no. 1, pp. 378–398, October 2012.
  32. [Online] R. Moslemi, M. Esmaili, H. A. Shayanfar, L. Wang, and R. C. Green II, “Multi-Objective Environmental Optimal Power Flow Considering Transient Stability Improvement,” International Review of Electrical Engineering, vol. 7, no. 1, pp. 3443–3453, February 2012.
  33. [Online] R. C. Green II, L. Wang, and M. Alam, “Training neural networks using Central Force Optimization and Particle Swarm Optimization: Insights and comparisons,” Expert Systems with Applications, vol. 39, no. 1, pp. 555–563, January 2012.
  34. [Online] R. Green and H. Ledgard, “Coding guidelines: Finding the Art in the Science,” Communications of the ACM, vol. 54, no. 12, pp. 57–63, December 2011.
  35. [Online] R. Green and H. Ledgard, “Coding guidelines: Finding the Art in the Science,” Queue, vol. 9, no. 11, pp. 1–13, December 2011.
  36. [Online] Y. Zhang, L. Wang, W. Sun, R. C. Green II, and M. Alam, “Distributed Intrusion Detection System in a Multi-Layer Network Architecture of Smart Grids,” IEEE Transactions on Smart Grid, vol. 2, no. 4, pp. 796–808, December 2011.
  37. [Online] R. C. Green II, L. Wang, and M. Alam, “The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook,” Renewable and Sustainable Energy Reviews, vol. 15, no. 1, pp. 544–553, 2011.

Unrefereed Journal

  1. [Online] C. Gunnett, H. Schneider, and R. Green, “Good doc, bad doc: teaching effective documentation in programming courses,” Journal of Computing Sciences in Colleges, vol. 29, no. 1, pp. 92–93, October 2013.

Conference Proceedings

  1. I. Khazrak, N. Nejad, M. M. Rezaee, and R. C. Green II, “Understanding LoRA Rank Trade-Offs in Diffusion Model Fine-Tuning,” in Proceedings of the 28th International Conference on Artificial Intelligence (ICAI'26), Las Vegas, NV, USA, Springer Nature, July 2026.
  2. I. Khazrak, N. Nejad, M. Homaei, M. M. Rezaee, and R. C. Green II, “LoRA-Diffusion: Parameter-Efficient Fine-Tuning via Low-Rank Trajectory Decomposition,” in Proceedings of the 28th International Conference on Artificial Intelligence (ICAI'26), Las Vegas, NV, USA, Springer Nature, July 2026.
  3. [Online][Preprint] A. Akinola, A. Atadoga, K. Brooks, V. Chandna, and R. C. Green II, “College Spread of COVID-19 in Ohio,” in 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, Nevada, IEEE Computer Society, December 2022. Acceptance Rate: 19%.
  4. [Online][Preprint] D. Schellhas, B. Neupane, D. Thammineni, B. Kanumuri, and R. C. Green II, “Distance Correlation Sure Independence Screening for Accelerated Feature Selection in Parkinson's Disease Vocal Data,” in 2020 International Conference on Computational Science and Computational Intelligence (CSCI), Los Alamitos, California, IEEE Computer Society, December 2020, pp. 1433–1488. Acceptance Rate: 20%.
  5. [PDF] T. Charest and R. C. Green II, “Implementing Central Force Optimization on the Intel Xeon Phi,” in IEEE International Parallel and Distributed Processing Symposium Workshops, New Orleans, Louisiana, May 2020, pp. 502–511. Acceptance Rate: 25%.
  6. [Online][PDF] K. R. Alasmari, R. C. Green II, and M. Alam, “Mobile Edge Offloading Using Markov Decision Processes,” in Edge Computing – EDGE 2018, Seattle, Washington, Springer International Publishing, June 2018, pp. 80–90.
  7. [Online] R. C. Green II, “Neighborhood Topologies in Central Force Optimization,” in Symposium Series on Computational Intelligence, Honolulu, Hawaii, US, IEEE, November/December 2017, pp. 572–579.
  8. [Online] C. Promper, D. Engel, and R. C. Green II, “Anomaly Detection in Smart Grids with Imbalanced Data Methods,” in Symposium Series on Computational Intelligence, Honolulu, Hawaii, US, IEEE, November/December 2017, pp. 1963–1970.
  9. [Online] R. C. Green II and J. T. Chao, “Ten Years of the Agile Software Factory for Software Engineering Education and Training,” in Conference on Software Engineering, Education, and Training, Savannah, Georgia, US, IEEE, November 2017, pp. 182–186.
  10. [Online] S. Shekaforoush and R. Green, “Classifying Commit Messages: A Case Study in Resampling Techniques,” in International Joint Conference on Neural Networks, Anchorage, Alaska, US, IEEE, May 2017, pp. 1273–1280.
  11. [Online] A. Shakiba, R. Green, and R. Dyer, “FourD: Do Developers Discuss Design? Revisited,” in Proceedings of the 2nd International Workshop on Software Analytics, Seattle, WA, USA, ACM, November 2016, pp. 43–46.
  12. [Online] J. Yalamanchili, R. C. Green II, K. S. Xu, and V. Devabhaktuni, “Performance Enhanced Multiset Similarity Joins,” in 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), October 2016, pp. 21–28.
  13. [Online] J. Lückenga, D. Engel, and R. Green, “Weighted Vote Algorithm Combination Technique for Anomaly Based Smart Grid Intrusion Detection Systems,” in International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016, pp. 2738–2742.
  14. [Online] J. Storer and R. Green, “PSO Trained Neural Networks for Predicting Forest Fire Size: A Comparison of Implementation and Performance,” in International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016, pp. 676–683.
  15. [Online] H. Al-Olimat, R. Green, M. Alam, and J. K. Lee, “Cloudlet Scheduling with Particle Swarm Optimization,” in IEEE International Conference on Communication Systems and Computing Application Science, Jeju Island, South Korea, May 2015, pp. 991–995.
  16. [Online] C. Zhang and R. Green, “Communication Security in Internet of Thing: Preventive Measure and Avoid DDoS Attack Over IoT Network,” in Spring Simulation Multi-Conference, Alexandria, Virginia, April 2015, pp. 8–15.
  17. [Online] M. Nasseri, H. Al-Olimat, M. Alam, J. Kim, R. Green, and W. Cheng, “Contiki Cooja Simulation for Time Bounded Localization In wireless Sensor Network,” in Spring Simulation Multi-Conference, Alexandria, Virginia, April 2015, pp. 1–7.
  18. [Online] W. Lausenhammer, D. Engel, and R. Green, “A Game Theoretic Software Framework for Optimizing Demand Response,” in IEEE Innovative Smart Grid Technologies, Washington, DC, February 2015, pp. 1–5.
  19. N. Nieman, J. Lambright, C. Taylor, and R. Green, “Quantum Polynomial Ring: Computing the p-polynomials,” in Midstates Conference for Undergraduate Research in Computer Science and Mathematics, Wooster, Ohio, November 2014.
  20. [Online] R. Householder, S. Arnold, and R. Green, “Simulating the Effects of Cloud-based Oversubscription On Data Center Revenues and Performance in Single and Multi-class Service Levels,” in IEEE CLOUD, Anchorage, Alaska, June/July 2014, pp. 562–569.
  21. [Online] C. Zhang, R. Green, and M. Alam, “Reliability and Utilization Evaluation of a Cloud Computing System Allowing Partial Failures,” in IEEE CLOUD, Anchorage, Alaska, June/July 2014, pp. 936–937.
  22. [Online] B. Snyder, R. Green, M. Alam, and V. Devabhaktuni, “Evaluation of Highly Reliable Cloud Computing Systems using Non-Sequential Monte Carlo Simulation,” in IEEE CLOUD, Anchorage, Alaska, June/July 2014, pp. 940–941.
  23. [Online] J. Philips, R. C. Green II, and M. Alam, “Time-of-Flight Distance Measurements using Smart Phones,” in IEEE Mobile Services, Anchorage, Alaska, June/July 2014, pp. 153–154.
  24. [Online] M. Nasseri, R. C. Green II, and M. Alam, “MDP Based Optimal Policy for Collaborative Processing using Mobile Cloud Computing,” in IEEE International Conference on Cloud Networking, San Francisco, California, November 2013, pp. 123–129.
  25. [Online] R. C. Green II, L. Wang, and M. Alam, “Binary Central Force Optimization and Local Search in Intelligent State Space Pruning for Power System Reliability Evaluation,” in IEEE/PES Innovative Smart Grid Technologies, Berlin, Germany, October 2012, pp. 1–8.
  26. [Online] R. C. Green II, L. Wang, M. Alam, and C. Singh, “Evaluating the Impact of Low Discrepancy Sequences on the Probabilistic Evaluation of Composite Power System Reliability,” in IEEE/PES General Meeting, San Diego, CA, July 2012, pp. 1–8.
  27. [Online] A. Bandyopadhyay, L. Wang, V. K. Devabhaktuni, R. Yang, and R. C. Green II, “Assessing the Effect of Fast Charging on Overall PHEV Battery Health,” in IEEE/PES General Meeting, San Diego, CA, July 2012, pp. 1–8.
  28. R. C. Green II, L. Wang, M. Alam, and C. Singh, “Latin Hypercube Sampling for the Probabilistic Evaluation of Composite Power System Reliability,” in International Conference on Probabilistic Methods Applied to Power Systems, Istanbul, Turkey, June 2012, pp. 1–8.
  29. [Online] R. C. Green II, L. Wang, M. Alam, C. Singh, and S. S. S. R. Depuru, “An Examination of Artificial Immune System Optimization in Intelligent State Space Pruning for LOLP Estimation,” in IEEE North American Power Symposium, Boston, Massachusetts, August 2011, pp. 1–7.
  30. [Online] R. C. Green II, L. Wang, M. Alam, and S. S. S. R. Depuru, “Evaluating the impact of Plug-in Hybrid Electric Vehicles on composite power system reliability,” in IEEE North American Power Symposium, Boston, Massachusetts, August 2011, pp. 1–7.
  31. [Online] R. C. Green II, L. Wang, and M. Alam, “Composite power system reliability evaluation using support vector machines on a multicore platform,” in IEEE International Joint Conference on Neural Networks, San Jose, California, August 2011, pp. 2586–2592.
  32. [Online] Y. Zhang, W. Sun, L. Wang, H. Wang, R. C. Green II, and M. Alam, “A multi-level communication architecture of smart grid based on congestion aware wireless mesh network,” in North American Power Symposium 2011, Boston, Massachusetts, August 2011, pp. 1–6.
  33. [Online] R. C. Green II, L. Wang, M. Alam, and C. Singh, “Intelligent State Space Pruning Using Multi-Objective PSO for Reliability Analysis of Composite Power Systems: Observations, Analyses, and Impacts,” in IEEE/PES General Meeting, Detroit, Michigan, July 2011, pp. 1–8.
  34. [Online] R. C. Green II, L. Wang, and M. Alam, “High performance computing for electric power systems: Applications and trends,” in IEEE/PES General Meeting, Detroit, Michigan, July 2011, pp. 1–8.
  35. [Online] A. Bandyopadhyay, L. Wang, V. K. Devabhaktuni, and R. C. Green II, “Aggregator Analysis for Efficient Day-Time Charging of Plug-in Hybrid Electric Vehicles (PHEVs),” in IEEE/PES General Meeting, Detroit, Michigan, July 2011, pp. 1–8.
  36. [Online] Y. Zhang, L. Wang, W. Sun, R. C. Green II, and M. Alam, “Artificial immune system based intrusion detection in a distributed hierarchical network architecture of smart grid,” in IEEE/PES General Meeting, Detroit, Michigan, July 2011, pp. 1–8.
  37. [Online] R. C. Green II, L. Wang, M. Alam, and R. A. Formato, “Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies,” in IEEE Congress on Evolutionary Computation, New Orleans, Louisiana, June 2011, pp. 550–557.
  38. [Online] Z. Wang, R. Yang, L. Wang, R. C. Green II, and A. I. Dounis, “A fuzzy adaptive comfort temperature model with grey predictor for multi-agent control system of smart building,” in IEEE Congress on Evolutionary Computation, New Orleans, Louisiana, June 2011, pp. 728–735.
  39. [Online] R. C. Green II, L. Wang, M. Alam, and C. Singh, “State space pruning for Reliability Evaluation using Binary Particle Swarm Optimization,” in IEEE Power Systems Conference and Exposition, Phoenix, Arizona, March 2011, pp. 1–8.
  40. [Online] R. C. Green II, L. Wang, M. Alam, and C. Singh, “Intelligent and Parallel State Space Pruning for Power System Reliability Analysis Using MPI on a Multicore Platform,” in IEEE Conference on Innovative Smart Grid Technologies, Anaheim, California, January 2011, pp. 1–8.
  41. [Online] R. C. Green II, L. Wang, Z. Wang, M. Alam, and C. Singh, “Power System Reliability Assessment Using Intelligent State Space Pruning Techniques: A Comparative Study,” in IEEE Conference on Power System Technology, Hangzhou, China, October 2010, pp. 1–8.
  42. [Online] R. C. Green II, L. Wang, and C. Singh, “State Space Pruning for Power System Reliability Evaluation using Genetic Algorithms,” in IEEE/PES Society General Meeting, Minneapolis, Minnesota, July 2010, pp. 1–6.
  43. [Online] R. C. Green II and L. Wang, “The Impact of Plug-in Hybrid Electric Vehicles on Distribution Networks: A Review and Outlook,” in IEEE/PES General Meeting, Minneapolis, Minnesota, July 2010, pp. 1–8.
  44. [Online] R. C. Green II, Z. Wang, L. Wang, M. Alam, and C. Singh, “Evaluation of loss of load probability for power systems using intelligent search based state space pruning,” in IEEE International Conference on Probabilistic Methods Applied to Power Systems, Singapore, June 2010, pp. 319–324.
  45. D. Myers and R. Green, “Obtaining Bounds for Linear Programs with Interval Coefficients,” in INFORMS, 2007.

Abstracts

  1. D. Bekbolsynov, F. J. Syed, R. Green, K. Xu, M. Rees, O. Ekwenna, and S. Stepkowski, “Better HLA Matching Improved Kidney Allograft Survival in African American Patients with Race-Adjusted Immunogenicity Thresholds,” in American Transplant Congress, San Diego, CA, June 2023.
  2. F. Syed, D. Bekbolsynov, R. Green, K. Xu, and S. Stepkowski, “African American Transplant Candidates Benefit from HLA Matching Algorithms Tailored to Race,” in American Transplant Congress, San Diego, CA, June 2023.
  3. A. Gregory, A. Long, B. Hendrickson, R. C. Green II, and M. Rezaee, “Use of a new web-based tool reveals that Sage-Grouse are an umbrella species for shrub steppe bird communities at range-wide scales,” in Prairie Grouse Tech Council, Wyoming, 2022.
  4. D. Bekbolsynov, R. Green, B. Mierzejewska, O. Ekwenna, M. Rees, and S. Stepkowski, “Low Immunogenic Donors Improved Survival of Kidney Transplants in African American Recipients,” in American Transplant Congress, 2021.
  5. D. Bekbolsynov, R. Green, B. Mierzejewska, M. Rees, and S. Stepkowski, “Low Immunogenic Donors Improve Kidney Transplant Survival in Sensitized Recipients,” in American Transplant Congress, 2021.
  6. [Online] D. Bekbolsynov, B. Mierzejewska, J. Borucka, S. A. Khuder, M. Rees, R. C. Green II, and S. Stepkowski, “Low Physiochemical Immunogenicity Scores Improve Long-Term Survival of Deceased Donor Kidney Transplants,” American Journal of Transplantation, vol. 20, May 2020. Peer Reviewed Abstract.
  7. [Online] D. Bekbolsynov, O. Ekwenna, B. Mierzejewska, J. Borucka, S. A. Khuder, M. Rees, R. C. Green II, and S. Stepkowski, “Improving Access to Transplantation and Outcomes for African American Patients,” American Transplant Congress, vol. 20, May 2020. Peer Reviewed Abstract.
  8. S. Gadde, R. C. Green II, W. Acosta, and V. Devabhaktuni, “On the use of Particle Swarm Optimization with Breadth First Search for Partitioning Large Graphs,” in International Symposium on Innovation in information Technology and Application, Kota Kinabalu, Malaysia, January/February 2018. Peer Reviewed Extended Abstract.
  9. C. King, R. Green, and C. Rump, “Population-based Metaheuristics for Fairer Facility Location,” in INFORMS, Houston, TX, September 2017. Peer Reviewed Abstract.
  10. J. Faisant and R. Green, “Can they Use It? Studying the Usability of the Canvas LMS at Bowling Green State University,” in Ohio Academy of Science, Dayton, OH, April 2017. Peer Reviewed Abstract.
  11. H. Renny and R. Green, “Scaling Central Force Optimization for Modern Parallel Architectures,” in Ohio Academy of Science, Dayton, OH, April 2017. Peer Reviewed Abstract.

Unrefereed Conference

  1. N. Nieman, J. Lambright, C. Taylor, and R. Green, “Adventures in the Quantum Polynomial Ring: Linear Algebra Computations C,” in Anderson University Scholar’s Day, Anderson, Indiana, April 2014. Poster Presentation.

Generated from the BibTeX files in my CV. 98 entries.