Building a Data Science/Artificial Intelligence/Machine Learning Research and Learning Cluster.
Florida A&M University 2019-Present
Cluster Members: Richard Aló [CIS]Lead, members: CIS: Hongmei Chi Jinwei Liu, Ed Jones, Yohn Parra-Bautista, Carlos Theran-Suarez; Bio: Samia Meseeha, Clement Yedjou; Chem:, Nelly Mateeva, Bereket Mochona, Bishnu Regmi, Mohammed Salam; Math: Erdell Maurice; Pharmacy: Liz Mazzio, Karam Soliman
Sections: Publications, Presentations, Grants Awarded, Proposals Submitted, Honors/Awards, Students Mentored, Cyber Policy Institute,
Publications
1. Parra Bautista, Yohn Jairo, Lima, Vinicious, Hongmei Chi, Richard Alo. Evaluating Jailbreak Vulnerabilities in LLMs: A Taxonomy and Comparative Analysis in Romance Fraud Scenarios. 5 th IEEE International conference on AI and Cybersecurity (Submitted)
2. A. Zhang, Q. Liu, J. Liu, and L. Cheng. CASA: Cost-effective EV Charging Scheduling based on Deep Reinforcement Learning, Neural Computing and Applications, 36, 8355–8370, 2024.
3. J. Liu, R. Gong, C. Kolog, C. Yedjou, J. Nam-Speers, L. Cheng, and W. Dai EqualDig: Mitigating Digital Inequality for Improving AI Education at Minority-Serving Institutions, abstract, AAAI 2024 Spring Symposium, 2024.
4. J. Li, Z. Jiang, Z. Chen, J. Liu, and C. Long. CuEMS: Deep Reinforcement Learning for Community Control of Energy Management Systems in Microgrids, Energy and Buildings 304 (2024): 113865.
5. Y. J. Parra Bautista, C. Theran, and R. Aló. "Ethical Considerations of Generative AI: A Survey Exploring the Role of Decision Makers in the Loop." In Proceedings of the AAAI Symposium Series, vol. 3, no. 1, pp. 391-398. 2024.
6. E. Katsoulakis, Q. Wang, H. Wu, L. Shahriyari, R. Fletcher, J. Liu, et al. Digital Twins for Health: A Scoping Review, NPJ Digital Medicine, 7(1):77, 2024. DOI: 10.1038/s41746-024-01073-0.
7. J. Liu and R. Gong. AIM: Using AI to Improve Residential Racial and Economic Segregation for Mortality Analysis. In Proc. of 2024 IEEE World Forum on Public Safety Technology (WF-PST), Washington, D.C., 2024.
8. Yedjou CG*, Tchakoua CT, Latinwo L, Tchounwou M, Eidahl K, Alo RA, Liu H. Recent advances in (AI) in education, ethical concerns and implications. International J. of Science Academic Research. 2024. 05(2); 7027-7030.
9. Yedjou CG*, Shayla Webster S, Osborne D, Liu J, Balagurunathan Y, Odewuni C, Latinwo L, Pierre Ngnepiepa P, Alo RA, Tchounwou PB. Health Promotion and Racial Disparity in COVID-19 Mortality Among African American Populations. Reports on Global Health Research. 2023; 6(3): ISSN: 2690-9480.
10. C. Theran, M. Alvarez, E. Arzuaga, and H. Sierra. "Multi-source imagery fusion using deep learning in a cloud computing platform." arXiv preprint arXiv:2307.03054 (2023).
11. J. Liu, R. Alo, et al. Hobby: Efficient Dependency-Aware Scheduling for High Throughput in Clouds. Proc. of IEEE LATINCOM, 2023.
12. Parra Bautista, Yohn Jairo; Lima, Vinicious; Theran, Carlos; Aló, Richard. Health Disparities through Generative AI Models: A Comparison Study Using a Domain-Specific Large Language Model. arXiv e-prints, 2023.
13. J. Deng, Y. Ding, L. Achenie, J. Liu, et al. International Workshop on Digital Twins for Smart Health. WWW'23 Companion: Companion Proceedings of the ACM Web Conference 2023, 2023
14. J. Liu, R. Gong, W. Dai, W. Zheng, Y. Mao, W. Zhou, and F. Deng. HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds. In Proc. of IEEE CloudCom, 2023.
15. J. Li, X. Tong, J. Liu, and L. Cheng. An efficient Federated Learning System for Network Intrusion Detection, IEEE Systems Journal, 17(2), 2455-2464, 2023.
16. J. Liu, R. Gong, and W. Zhou. SmartEye: Detecting COVID-19 Misinformation on Twitter for Mitigating Public Health Risk. In Proc. of IEEE BigComp, 2023.
17. R. Gong, J. Chan, and J. Liu. A Short Note on Comparing Bayesian Density Estimation with Univariate Kernel Density Estimation, Asian J. Math. Appl. 2023:1, 2023.
18. Bautista, Yohn Jairo Parra; Theran, Carlos; Aló, Richard; Lima, Vinicious. Health Disparities through Generative AI Models: A Comparison Study Using a Domain-Specific LLM. Proceedings of the Future Technologies Conference, Springer Nature Switzerland, 2023.
19. A. D'Onofrio Jr., A. Hossain, L. Santana, N. Machlovi, S. Stein, J. Liu, A. Li, and Y. Mao. Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. In Proc. of IEEE Big Data, Sorrento, 2023.
20. Liu, R. Gong, L. Cheng, and R. Aló. DeepHealth: Geospatial and ML-based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care. In Proc. of IEEE ICCCN, 2023.
21. R. R. Reams, F. T. Odedina, J. D. Carpten, K. Redda, M. C. Stern, J. L. Krieger, J. Aparicio et al. "Florida-California Cancer Research, Education and Engagement (CaRE2) Health Equity Center: Structure, Innovations, and Initial Outcomes." Cancer Control 30 (2023): 10732748231197878.
22. Parra-Bautista YJ, Messeha SS, Theran C, Aló RA, Yedjou C, Adankai V, Babatunde S. Marital Status of Never Married with Rey Auditory Verbal Learning Test Cognition Performance Is Associated with Mild Cognitive Impairment. Appl. Sci. 2023, 13(3), 1656.
23. Y. J. Parra Bautista, S. S. Messeha, C. Theran, R. Aló, C. Yedjou, V. Adankai, S. Babatunde, and Alzheimer’s Disease Prediction of Longitudinal Evolution (TADPOLE). "Marital status of Never Married with Rey Auditory verbal Learning test cognition performance is associated with mild cognitive impairment." Applied Sciences 13, no. 3 (2023): 1656.
24. Y. J. Parra Bautista, C. Theran, R. Aló, and V. Lima. "Heath Disparités Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model." In Proceedings of the Future Technologies Conference, pp. 220-232. Cham: Springer Nature Switzerland, 2023.
25. J. Liu. Fregata: A Low-Latency and Resource-Efficient Scheduling for Heterogeneous Jobs in Clouds, In Proc. of IEEE BigComp, Daegu, Korea, 2022
26. C. Yedjou, L. M. Latinwo, R. Alo, C. O. Odewumi, and P. Y. Reaves. "Technology-Enhanced Student Learning, Improved Engagement, and Performance in an Anatomy and Physiology Course." In Experiences and Research on Enhanced Professional Development Through Faculty Learning Communities, pp. 178-193. IGI Global, 2022.
27. J. Liu, R. Alo, and Y. J. Parra Bautista. DeepTrace: Improving Pandemic Health Care by Identifying Disparities and Determinants, In Proc. of IEEE BigComp, Jeju Island, Korea, 2021.
28. Y. J. Parra Bautista, C. Theran, and R. Aló. "Data science and Deep Learning across the alliance: A personalized project-activated modality REU." In 2022 7th International STEM Education Conf. (iSTEM-Ed), pp. 1-4. IEEE, 2022
29. Fleischer, Jacques; Von Laszewski, Gregor; Theran, Carlos; Bautista, Yohn Jairo Parra. Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes. arXiv preprint arXiv:2202.13874, 2022.
30. Y. J. Parra Bautista, S. Messeha, C. Theran, R. A. Alo, C. Yedjou, V. Adankai, and S. Babatunde. Marital Status with Rey Auditory Verbal Learning Test Cognition Performance Is Associated with Mild Cognitive Impairment. (2022).
31. J. Liu, X. Zhang, R. Aló, X. Huang, L. Cheng, and F. Deng. CrossCas : A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model, In Proc. of IEEE GLOBECOM, 2022.
32. C. Theran-Suarez, Y. J. Parra Bautista, V. Adankai, and R. Aló. "Machine Learning Computational Framework for Alzheimer’s Disease Stages Classification." In Proceedings of the Future Technologies Conférence, pp. 381-397. Cham: Springer International Publishing, 2022.
33. J. P. Fleischer, G. von Laszewski, C. Theran, and Y. J. Parra Bautista. "Time series analysis of cryptocurrency prices using long short-term memory." Algorithms 15, no. 7 (2022): 230.
34. J. Liu and L. Cheng. SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds, In Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2021. DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484459
35. C. A. Theran, M. A. Alvarez, E. Arzuaga, and H. Sierra. "Hyperspectral and Multispectral Image Fusion Using a Multi-Level Propagation Learning Network." In 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5. IEEE, 2021.
36. Von Laszewski, Gregor; Bautista, Yohn Jairo Parra; Theran, Carlos; Fox, Geoffrey C.; Alo, Richard; Greene, Byron. Proceedings 2021 FAMU REU Supported by Cybertraining-DSC. Cybertraining-DSC, 2021.
37. Liu, Jinwei; Alo, Richard A; Bautista, Yohn Jairo Parra; Yedjou, Clement G; Theran, Carlos. A Geospatial and ML-Based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care. 8th International Conference on Social Network Analysis, Management and Security (SNAMS), IEEE, 2021.
38. J. Liu, L. Cheng, A. Sarker, L. Yan, and R. Aló. DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care, In Proc. of IEEE Big Data, 2021.DOI: 10.1109/BigData52589.2021.9671860
39. CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks. J. Liu, L. Cheng, H. Chi, C. Liu, R.Aló, 2021 International Conference on Computer Communications and Networks (ICN), July 19-22, 2021, Athens,
40. Prediction and Classification of Patients with Prostate Cancer Using Machine Learning Algorithms. Yedjou, C., Tchounwou, S., Aló, R., Elhag, R., Mochona, B., Latinwo, L. August 2021.
41. Yedjou CG*, Richard A. Alo, Liu J, Enow J, Ngnepiepa P, Long R, Latinwo L, Tchounwou PB. Chemo-Preventive Effect of Vegetables and Fruits Consumption on the COVID-19 Pandemic. J Nutr Food Sci. 2021; 4: 029.
42. A Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care. J. Liu, R. Aló, Y. Jairo Parra Bautista, C. Yedjou, C. Theran. Eighth International Conference on SocialNetworks Analysis, Management and Security (SNAMS- 2021), December 6-9, 2021, Gandia, Spain
43. Yedjou CG*, Njiki S, Enow J, Ikome O, Latinwo L, Long R, Ngnepieba P, Alo RA*, and Tchounwou PB. Pharmacological Effects of Selected Medicinal Plants and Vitamins Against COVID-19. 2021; J Food Nutr 7: 1-16.
44. Yedjou CG*, Tchounwou SS, Alo RA, Elhag R, Mochona B, Latinwo L. Application of Machine Learning Algorithms in Breast Cancer Diagnosis and Classification. International J. of Science Academic Research. 2021; 02(10): 3081-3086.
45. Y. J. Parra Bautista, J. Liu, and R. Alo. Behavior Analysis of Pandemic Source Media Communications, In Proc. of 2021 IEEE BigComp, Jeju Island, Korea, 2021.
46. J. Liu, L. Cheng, and H. Chi. DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care, In Proc. of ACM ICVISP, Bangkok Thailand, 2020.
47. J. Carter, H. S. Narman, O. Cosgun, and J. Liu. Trade-off Model of Fog-Cloud Computing for Space Information Networks, In Proc. of IEEE Cloud Summit, 2020.
48. M. A. Alvarez, C. A. Theran, E. Arzuaga, and H. Sierra. "Analyzing the effects of pixel-scale data fusion in hyperspectral image classification performance." In Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI, vol. 11392, pp. 28-42. SPIE, 2020.
49. C. A. Theran, M. A. Alvarez, H. Sierra, and E. Arzuaga. "Studying the effect of a decision fusion model on enhanced hyperspectral images." In Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI, vol. 11392, pp. 43-58. SPIE, 2020.
50. Clement G. Yedjou, Aló A. Richard, Paul B. Tchounwou: Novel Therapeutic Anticancer Property of Vernonia amygdalinaDelile Towards the Treatment of Prostate Cancer. International Conference on Natural Products & Traditional Medicine. Amsterdam, Netherlands. July 13-14, 2020. Webinar
51. Bautista, Yohn Jairo Parra; Aló, Richard; Wang, NingNing. Deep Learning, Cloud Computing for Credit/Debit Industry Analysis of Consumer Behavior. IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), IEEE, 2020.
52. X. Chen, L. Cheng, C. Liu, Q. Liu, J. Liu, Y. Mao, and J. Murphy, A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems, IEEE Systems Journal, 14(3), 3117-3128, 2020.
53. N. Ahmed, R. Alo, C. Amelink, Y. Y. Baek, A. Chudhary, K. Collins, A. Esterline et al. "net. science: A cyberinfrastructure for sustained innovation in network science and engineering." In Gateways Conference 2020.
54. J. Liu, R. Aló, Y. J. Parra Bautista. DeepTrace: Improving US Pandemic Health Care through Health Disparity Identification and Determinant Tracing, In IDSTA, 2020. DOI :10.1109/IDSTA50958.2020.9264064.
55. Integrating Deepfake Detection into Cybersecurity Curriculum. R. Aló’, H. Chi, U. Maduakor, E. Williams. 2020 FutureTechnologies Conference (Virtual), Vancouver, Canada. November 5-6, 2020.
56. C. Yedjou, J. N. Sims, L. Miele, F. Noubissi, L. Lowe, D. D. Fonseca, R. Alo, Marinelle Payton, and Paul B. Tchounwou. "Health and racial disparity in breast cancer." Breast cancer metastasis and drug resistance: challenges and progress (2019): 31-49.
57. W. Chung, C. Toraman, Y. Huang, M. Vora and J. Liu. A Deep Learning Approach to Modeling Temporal Social Networks on Reddit, Proc. of the 17th IEEE International Conference on Intelligence and Security Informatics (ISI), July 1-3, 2019.
58. J. Liu, W. Chung, Y. Huang and C. Toraman. CrossSimON: A Novel Probabilistic Approach to Cross-Platform Online Social Network Simulation, Proc. of the 17th IEEE International Conference on Intelligence and Security Informatics (ISI), July 1-3, 2019.
59. W. Chung, M. Vora, J. Liu, Y. Huang, E. Mustaine, and V. S. Lai. Simulating Temporal Dynamics in Cryptocurrency Software Social Networks, In Proc. of the Americas Conference on Information Systems (AMCIS), August 15-17, 2019.
60. Y. J. Parra Bautista, R. Aló, and D. Olson. "Comparison of lexicon performances on unstructured behavioral data." 2019 Sixth International Conf. on Social Networks Analysis, Management and Security (SNAMS), pp. 28-35. IEEE, 2019.
61. C. A. Theran, M. A. Álvarez, E. Arzuaga, and H. Sierra. "A pixel level scaled fusion model to provide high spatial-spectral resolution for satellite images using LSTM networks." In 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5. IEEE, 2019.
62. Comparison of Lexicon Performances on Unstructured Behavioral Data, R. A. Aló’, Yohn Parra-Bautista, David Olson, 2019 6th International Conf.: Social Networks Analysis, Management/Security (SNAMS-2019), 10/ 2019
63. W. Chung, E. Mustaine, J. Liu, and M. Vora. A Theory-Driven Framework for Modeling Temporal Online Social Networks of GitHub, In Proc. of the Americas Conference on Information Systems (AMCIS), August 15-17, 2019.
64. J. Liu, W. Chung, X. Tang, and V. Lai. Identifying Cyber Threats from Financial Social Media: A Hybrid Feature Selection Approach, poster, 2018 Research Symposium, Tampa, 2018.
65. J. Liu, H. Shen, A. Sarker, and W. Chung. Leveraging Dependency in Scheduling and Preemption for High Throughput in Data-Parallel Clusters. In Proc. of the 2018 IEEE International Conference on Cluster Computing (Cluster’18), September 10-13, Belfast, United Kingdom, 2018.
66. W. Chung, J. Liu, X. Tang, and V. Lai. Extracting Textual Features of Financial Social Media to Detect Cognitive Hacking. In Proc. of IEEE ISI, Miami, 2018.
67. H. S. Narman, A. D. Uulu, and J. Liu. Profile Analysis for Cryptocurrency in Social Media. In Proc. of IEEE ISSPIT, Louisville, 2018.
68. J. Liu, H. Shen, and L. Yu. Question Quality Analysis and Prediction in Community Question Answering Services with Coupled Mutual Reinforcement, IEEE Transactions on Services Computing (TSC), 10(2), 286-301, 2017.
69. J. Liu, H. Shen, and H. Hu. Load-aware and Congestion-free State Management in Network Function Virtualization, In Proc. of ICNC, Silicon Valley, 2017.
70. C. Yedjou, P. B. Tchounwou, M. Payton, L. Miele, D. D. Fonseca, L. Lowe, and R. Alo. "Assessing the racial and ethnic disparities in breast cancer mortality in the United States." International journal of environmental research and public health 14, no. 5 (2017): 486.
71. J. Liu, H. Shen, and L. Chen. CORP: Cooperative Opportunistic Resource Provisioning for Short-Lived Jobs in Cloud Systems, In Proc. of IEEE CLUSTER, Taipei, 2016.
72. J. Liu and H. Shen. A Low-Cost Multi-Failure Resilient Replication Scheme for High Data Availability in Cloud Storage, In Proc. of 23rd Annual International Conference on High Performance Computing, Data, and Analytics (HiPC'16), Hyderabad, 2016.
73. J. Liu and H. Shen. Dependency-aware and Resource-efficient Scheduling for Heterogeneous Jobs in Clouds, In Proc. of IEEE CloudCom, Luxembourg, 2016.
74. J. Liu, H. Shen, and H. S. Narman. CCRP: Customized Cooperative Resource Provisioning for High Resource Utilization in Clouds, In Proc. of IEEE Big Data, Washington D.C., 2016.
75. J. Liu and H. Shen. A Popularity-aware Cost-effective Replication Scheme for High Data Durability in Cloud Storage, In Proc. of IEEE Big Data, Washington D.C., 2016.
76. H. Shen, J. Liu, K. Chen, J. Liu, and S. Moyer. SCPS: A Social-Aware Distributed Cyber-Physical Human-Centric Search Engine, IEEE Transactions on Computers (TC), 64(2):518-532, 2015.
77. H. Shen, Z. Li, J. Liu, and J. Grant. Knowledge Sharing in the Online Social Network of Yahoo! Answers and Its Implications. IEEE Transactions on Computers (TC), 64(6):1715-1728, 2015.
BOOK CHAPTERS
1.Yedjou CG*, Latinwo L, Alo RA, Odewomi C, Reaves P. Technology Enhanced Student Learning, Improved Engagement, and Performance in Anatomy & Physiology Course: Engagement Student Learning Using Innovative Technologies. IGI Global, 2022. ISBN: 9781668453360.
2.
Health and Racial Disparity in Breast Cancer, C.G. Yedjou, D. Gomez-Fonseca, R. Aló, et al., Chapter in Book: BreastCancer Metastasis and Drug Resistance, 2nd Ed, Springer Verlag [2019]
3.Yedjou CG*, Sims SN, Miele L, Noubissi N, Lowe L, Fonseca-Gomez D, Alo RA, Payton M, Tchounwou PB. Health/ Racial Disparity in Breast Cancer. Adv Exp Med Biol . 2019:1152:31-49. doi: 10.1007/978-3-030-20301-6_3.
Yohn Jairo Parra Bautista
4.Bridging Education and Entrepreneurial Digital Transformation: Cultivating Digital Literacy and Innovation Chapter 9.
5.Transformative Cloud Computing, IoT and Extended Reality: Cutting Edge Applications for Smart Cities, Education, Healthcare, Industry and Business. Springer Nature.
6.
PRESENTAITIONS
R.A. Aló Keynote Speaker
1. LEARN [Lonestar Education and Research Network], CIO Board [Texas Regional Network] 2022.
2. Georgia Tech Southern Light Rail [SLR-SOX], Annual Board of Directors Meeting, 2022
3. CENIC [California Regional Network] Annual Meeting, 2022.
4. 4NRP 2023, NSF National Research Platform Annual Participant Meeting.
Carlos Theran, presenter
5. FTC 2022 – Future Technologies Conference 2022, Machine Learning Computational Framework for Alzheimer’s Disease Stages Classification. Awarded as best paper conference
GRANTS AWARDED
R.A. Aló
1. PI; Hewlett Foundation $5M, Cyber Policy Institute, 2023-28; collaborative between the FAMU, Colleges of Science and Technology, and of Social Sciences, Arts and Humanities providing faculty and graduate student fellows engaged in research on Artificial Intelligences Impact on Humanity.
2. PI: NSF $2.95M Florida Georgia Louis B. Stokes Alliance for Minority Participation: Developing Researchers through Innovative Research Experiences- focuses on three of NSF’s Ten Big Ideas: Harnessing the Data Revolution; INCLUDES, Convergence and Translational Research, 2020-25.
3. PI: National Academies Science, Engineering, Medicine $550,000, Gulf Scholars Program
4. PI, State of Florida, $1.45M, Pathways to Cybersecurity and IT Workforce for Women and Historically Underrepresented Minorities, 2022-23.
5. $350,000 DoEd Title III: Convergent Data Science/Cybersecurity Research/Learning Lab
6. Senior Personnel on three NSF awards to UC. San Diego and Berkely, July 2021] Developing the National Research [Optical Fiber] Platform. Provides FAMU its own Science DMZ, 32 Graphical Processing Units to create a robust AI environment for faculty/ student research and learning: Assisting in making FAMU a hub for the Eastern Seaboard Regional Network
7. Co-PI $500K NSF IUSE, Infusing AI, Machine Learning in Biology Education, Clement Yedjou PI
8. Co-PI $3M NSF CC* Demonstration Pilot for Center of Excellence for MS Cyberinfrastructure Consortium[9-2021]: Creating a connective/ collaborative organization serving as a hub for HSIs, HBCUs, TCUs, and other MSIs to utilize for CI advocacy, guidance, and expertise Increase awareness, and financial support for professional development for faculty, staff, and students.
9. Local PI for $8M GOOGLE LLC COVID-19 Artificial Intelligence and Data Science for the Social Good Charitable Fund grant as a member of a 31-institution international consortium.
10. PI, Microsoft Azure Award, and $100K Faculty Development Award
11. PI, $100K L3 Harris Technologies Faculty and Data Science Development award
Yohn Jairo Parra Bautista
12. Senior Personnel: Hewlett Foundation $5M, Cyber Policy Institute, 2023-28; collaborative between the FAMU, Colleges of Science and Technology, and of Social Sciences, Arts and Humanities providing faculty and graduate student fellows engaged in research on Artificial Intelligences Impact on Humanity.
13. Senior Personnel: $500K NSF IUSE, Infusing AI, Machine Learning in Biology Education, Clement Yedjou PI
14. 3. Local CO-PI for $8M GOOGLE LLC COVID-19 Artificial Intelligence and Data Science for the Social Good Charitable Fund grant as a member of a 31-institution international consortium.
15. 4. PI, Microsoft Award, 50k for Data Science Course Study Abroad, John Cabot University.
PROPOSALS SUBMITTED
1. Bridging the Gap: Industry-Education Partnerships for Creating Pathways to the Evolving /Energy Workforce, National Academies of Science, Engineering and Medicine, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, $700,000
2. Engaging Literacy Ambassadors and Gulf Coast Communities for Resiliency to Gulf Related Issues, National Academies of Science, Engineering and Medicine, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, $700,000
3. Building a Data Science Corps, National Science Foundation, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, Jinwei Liu, Erdell Maurice
4. NSF REU Site: PI: Yohn Jairo Parra Bautista, CO-PI: Carlos Theran, $800.000
Yohn Jairo Parra Bautista
5. NSF REU Site: PI: Yohn Jairo Parra Bautista, CO-PI: Carlos Theran, $800.000
6. Bridging the Gap: Industry-Education Partnerships for Creating Pathways to the Evolving /Energy Workforce, National Academies of Science, Engineering and Medicine, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, $700,000
7. Engaging Literacy Ambassadors and Gulf Coast Communities for Resiliency to Gulf Related Issues, National Academies of Science, Engineering and Medicine, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, $700,000
8. Building a Data Science Corps, National Science Foundation, R. Aló, Nelly Mateeva, Yohn Parra-Bautista, Carlos Theran Suarez, Jinwei Liu, Erdell Maurice
HONORS/RECOGNITIONS
Best Conference Paper Awards:
1. A Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care. J. Liu, R. Aló, Y. Parra Bautista, C. Theran, C. Yedjou, C. IEEE 8th International Conference on Social Networks Analysis, Management and Security (SNAMS- 2021), December 6-9, 2021, Gandia, Spain.
2. Machine Learning Computational Framework for Alzheimer’s Disease Stages Classification, Carlos Theran-Suarez, Yohn Jairo Parra-Bautista, Victor Adankai, Richard Aló, Future Technologies Conference 2022 Vancouver, BC
MENTEES
Carlos Theran -
1. Robert Beautelus: Leveraging Large Language Models for Sentiment Analysis in Social Media Behavioral Studies.
2. Tosin Jolaogun: Machine Learning Approaches for the Detection and Diagnosis of Parkinson’s Disease.
3. Galloway Chaney: Analyzing Hyperspectral Images using Python tools.
4. Pierre Casidhe: Diagnosing Diabetes Patients Using Machine Learning Approaches
5. Ferrance Jadon:
6. Analyzing Algorithmic Bias in Loan Prediction Models through Explainable AI Techniques
7. Deep Learning Framework for Automated Lung Cancer Detection with Integrated Grad-CAM for Histopathological Images Explainability
8. Chiyle Briggins & Jorge Vasquez: Brain MRI Analysis for Alzheimer's disease using Machine Learning
9. Brianna Monclaire: Analyzing Social Media Reactions to Climate Events Using Natural Language Processing
10. Mariah Piggs: Artificial Intelligence and the Environment: Opportunities and Hidden Costs
11. Tyler Skinner: Deep Learning Approaches for Threat Detection in Crowded Public Areas
Yohn Jairo Parra Bautista
12. Howard Jaiden A: AUC Mastercard Data Challenge 2024 North Philadelphia Inclusive Grow Ecosystem. Jaiden Won second place among 45 teams.
13. Seth Thomas: Time Series Analysis for Energy Consumption. REU Student and Mastercard Data Challenge 2025
14. Marcus Jones: AI Deep Learning for Food Recognition on NRP. REU Student
15. Massai Morgan: Machine Learning on Inclusive Grow Score. REU Student and Mastercard Data Challenge 2025
16. Sydney Jhonson: Machine Learning on Inclusive Grow Score. REU Student and Mastercard Data Challenge 2025
17. Breosha Young: Machine Learning on Inclusive Grow Score. REU Student and Mastercard Data Challenge 2025
18. Jackes Fleicher: Times Series Analysis of Blockchain Based Cryptocurrency Price Changes
19. David Umanzor: Object Recognition on Deaf People
Erdell Maurice
20. Myles Luster: Understanding and Finding Prime Numbers.