| Kaiwan | Bilal | University of Michigan | Engineering Physics | Engineering Physics | B.S.E/Engineering Physics /2028 | Quantum mechanics; Plasmas; Nuclear; Particle physics; Electromagnetism; Energy; Materials; Superconductor; Semiconductors; Photovoltaic cells; Optoelectronic nanostructures; Quantum modeling; Variational Quantum Eigensolvers |
| Benjamin | Atawiah | The University of Alabama | Department of Mathematics | Applied Mathematics; Numerical Analysis with a focus on the discontinuous Galerkin Finite Element Method. | MSc. Mathematical Sciences (Earned) M.A. Mathematics (Earned) Ph.D. Mathematics (in Progress) | DG and RKDG methods; Fourier and energy-based error analysis; compact and stage-dependent DG schemes for hyperbolic conservation laws. |
| Mercy Nthenya | Kyatha | University of Massachusetts, Amherst | Computer Science | Computer Science- AI specialisation | BEng (honours) Electrical Power Systems Engineering, earned in 2020 PhD(Computer Science): in progress | Computer Vision; Edge AI; Embedded IoT; Air Quality Monitoring; Energy Modelling; Cooling Load Forecasting; Load Analysis; Sustainable Urban Mobility |
| Kwame | Osei-Tutu | University of Massachusetts Amherst | Mathematics and Statistics | Machine learning, gaussian processes, high-performance computing | Earned a Bachelors of Arts in Mathematics and Statistics Currently a 4th year Math PhD student | Gaussian processes; mixed precision; parallel computing; python; R |
| Abdullah | Maruf | Dartmouth College | Engineering | Computational Materials Engineering: Machine learning–driven materials discovery, focusing on deep neural networks (CNNs, GNNs, and transformer architectures) for automated feature extraction, property prediction, and inverse design in inorganic crystalline systems. | Bachelor’s: Physics & Mathematics. (2022) Master’s: Earth Science — Concentration in Computational Materials Science, focusing on naturally occurring potential novel minerals on Mars. (2024) Ph.D.: Materials Engineering — Graph Neural Network-based automation of materials discovery. (Present) | LLM-agents, surrogate-model, multi-agent-orchestration, scientific-software, FNO, PINN, HPC, CUDA, MeshGraphNet, GNN, LangGraph, Docker/Podman, SLURM/Kubernetes, PyTorch/FSDP, evals |
| Jeffrey | Vargas Felix | Phoenix College | Student | Computer Science | Computer Science in progress | AI;Coding;LLM;RAG;RSE;HPC;GenAI;reproduciblity;Cloud Computing;Open Source; |
| Eric | Pabon Cancel | Purdue University | Mathematics | Dynamical systems, Machine Learning, Mathematical Algorithms | B.S. in Mathematics (University of Puerto Rico, Mayagüez Campus, 2023) M.S. in Mathematics (Purdue University, expected December 2025/June 2026) Ph.D. in Mathematics (Purdue University, expected June 2029) | Dynamical Systems; Machine Learning; Mathematical Modeling; Applied Mathematics |
| Pearl | Tetteh | University of New Mexico | Department of Civil, Construction and Environmental Engineering | Doctor of Philosophy in Civil Engineering | BSc Petroleum Geoscience (2017) MSc Civil Engineering - Mechanics and Physics of Porous Media (2021) PhD Civil Engineering (In progress) | Microcapsule Transport; Micropolar Theory; Experiments; Modeling; Parametrize Model; Computational Fluid Dynamics; Discretization; Uncertainty Quantification. |
| Danny | Tran | Harvey Mudd College | Computer Science and Climate | Computer Science and Climate with an emphasis in Data Science | B.S./Computer Science and Climate/2027 | machine learning; accessibility; sustainability; remote sensing; data science; computer vision |
| Ophelia | Frimpong | The University of Texas at El Paso | Department of Mathematical Sciences | Computational Science with more focus in applied mathematics, data science, and scientific computing. | Doctor of Philosophy/Computational Science/ in Progress Master's in Science/Mathematics/2024 Bachelor in Science/ Actuarial Science/2021 | Artificial Intelligence; Machine Learning; Explainable Artificial Intelligence; Multimodal;Gated fusion;Shapley Additive explanations; Medical imaging; Gradient-weighted Class Activation Mapping; Multilayer Perceptron; Convolutional-Neural-Network |
| Derrick | Agyekum | Michigan State University | Engineering | B.S. in Computer Science — Specialization: Artificial Intelligence & Machine Learning (minor in Finance). | B.S., Computer Science / Artificial Intelligence & Machine Learning / Michigan State University — In progress, expected May 2027. Minor: Finance. | LLMs; RAG; Agents; Prompting; Alignment; Guardrails; Retrieval; Tokenization; LoRA; LLMOps; Deployment; Evaluation; Time-series; Causal-inference; Content-Based-Filtering; Feature-engineering; Distillation; Transfer-learning; Vector-databases; SQL/ETL |
| Kayode | Oluwasegun | Drexel University | Mathematics | Mathematics: Specialization in Partial Differential Equations, Applied and Computational Mathematics, and Data-Driven Modeling for Complex Systems | 1) PhD in Applied & Computational Mathematics (in progress) 2) MSc in Applied & Computational Mathematics (May 2021) 3) BSc in Applied Mathematics (February 2017) | Applied Partial Differential Equations; Mathematical Modeling; Mathematical Biology; Free-Boundary Problems; Nonlinear Dynamics; Wave Propagation; Ocean Engineering; Scientific Computing; Computational Modeling |
| Kingsley | Okparaugo | Philander Smith University | Computer Science | Computer Science | Bachelor Degree/Computer Science/2025 | AI; Machine Learning; Data Analysis; Social Impact; Python Programming; Super Computing; Technology for Good; Automation; Computer Science Research; HPC |
| Taylor | Garcia | Texas A&M University - Kingsville | Computer Science | I am currently pursuing a bachelor’s degree in Computer Science with minors in Cyber Intelligence and Mathematics. | I am set to graduate in May 2026 with a bachelor’s degree in Computer Science along with minors in Cyber Intelligence and Mathematics. | Arduino; Sensors; Motion Detection; Automation; Security; Embedded systems |
| Patrick | Tabiri | The University of Texas at El Paso | Computational Science | Computational Science | BSc. Mechanical Engineering | Scientific Computing; Machine Learning; Deep Learning; Computational Mechanics; High Performance Computing; Phase Field Crystal; Microstructure Evolution; Additive Manufacturing |
| Stephen | Naboth | Rice University | Computational Applied Mathematics and Operations Research | Ph.D. in Computational and Applied Mathematics (in progress), Rice University Major/Specialty Mixed-Integer Linear Programming (MINLP), Optimization for Operations Research, Computational Methods for PDEs, Machine Learning, HPC. | Ph.D., Computational and Applied Mathematics, Rice University, In Progress (Expected 2028) M.Sc., Financial Engineering, WorldQuant University, In Progress, 2025 M.Sc., Mathematical Modelling in Engineering, University of L’Aquila, 2022 B.Sc., Mathematics, University of Nairobi, 2018 | Optimization; Mixed-Integer Linear Programming (MILP); Symbolic Regression; Scientific Machine Learning; Operations Research; Kernel Methods; Scientific Computing; HPC |
| Samuel | Ajuwon | Morgan State University | Electrical and Computer Engineering | I specialize in computer vision with an interest in deep learning and timeseries | I had my undergraduate degree in Mechanical Engineering and I am currently at Morgan State for my PhD in Electrical and Computer Engineering | Artificial Intelligence; Computer Vision; Deep Learning; Machine Learning; Convolutional Neural Networks; AI for Cybersecurity;Intelligent Systems; Robotics; Trustworthy AI |
| Banooqa | Banday | Texas State University | Computer Science | Computer Science | PhD 3rd Year | Causal Analysis; causal inference; mediation analysis; scheduling; representation learning; augmentation; transfer learning; |
| Lily | Zhu | Johns Hopkins University | Applied Mathematics & Statistics | Applied Mathematics & Statistics Public Health Studies Pre-Health Requirements | Bachelors of Science (2024-2028) Bachelors of Art (2024 - 2028) | Public Health; Medicine; Bioinformatics; Protein Prediction; Biostatistics; Python; R; Machine Learning; SPSS; Wet-Lab; Modeling |
| Martha | Asare | University of Texas Rio Grande Valley | Computer and Electrical Engineering | - Computer Science (PhD) – Specialization in Computer Vision, Artificial Intelligence, and Additive Manufacturing. - Applied Statistics and Data Science (Master’s) – Specialization in Machine Learning, Big Data Analytics, and Predictive Modeling. - Statistics (Bachelor’s) – Focus on Biostatistics, Probability Theory, and Statistical Modeling. | • PhD in Computer Science (Interdisciplinary Applications) – University of Texas Rio Grande Valley, Aug 2024 – Present (in progress) • MS in Applied Statistics and Data Science – University of Texas Rio Grande Valley, Aug 2022 – Aug 2024 • BS in Statistics – Kwame Nkrumah University of Science and Technology, Ghana, Sep 2013 – Jun 2017 | Artificial Intelligence; Machine Learning; Computer Vision; Additive Manufacturing; Deep Learning; Defect Detection; 3D Reconstruction; Robotics; Smart Manufacturing; Digital Twin |
| Vianney | Diaz-Barraza | The University of Texas at El Paso | Engineering | Computer Engineering | Bachelor of Engineering in Computer Engineering, Electrical/Computer Engineering, Expected Graduation: July/2027 The University of Texas at El Paso. | High-Performance Computing; Machine Learning; Signal Processing; Telecommunications; Data Analysis; Computational Physics; Numerical Methods; Artificial Intelligence |
| Samson | Quaye | Illinois Institute of Technology | Information Technology & Management | Ph.D. Information Technology Specialty: Cybersecurity, AI & Data Science | Ph.D. in Information Technology (Cybersecurity, AI & Data Science) – In Progress, Illinois Institute of Technology, expected August 2025–Present M.Sc. in Applied Mathematics – Illinois Institute of Technology, Chicago, IL, August 2023– July 2025 Double M.Sc. in Mathematical Engineering – Erasmus Mundus InterMaths Joint Degree, Brno University of Technology (Czech Republic) & University of L’Aquila (Italy), September 2020–September 2022 B.Sc. in Mathematics – Kwame Nkrumah University of Science and Technology, Ghana, September 2015– June 2019 | Artificial Intelligence; Cybersecurity; Large Language Models; Cryptography; Applied Statistics; Edge Computing; Internet of Things; Malware Detection; Parallel Computing; Applied Mathematics |
| Kwesi | Ohene-Obeng | University of Texas at El Paso | Mathematical Science | Data Science / Statistics | Phd Data Science - May 2026 expected MS Mathematics - Nov 2020 BS Statistics - May 2016 | Machine Learning; Deep Learning; Uncertainty Quantification; Functional Data Analysis; Bayesian Inference; |
| Mirna | Elizondo | Texas State University | Computer Science | Doctor of Philosophy (Ph.D.) Major in Computer Science (Software Systems Concentration Entering with Bachelor's Degree) | Bachelors Of Arts in Computer Science with a Minor in Mathematics | machine learning, AI, data science, healthcare analytics, prediction models, graph clustering, topic modeling, chronic conditions, clinical data, big data |
| Temitope | Oyedeji | University of Illinois at Chicago | Mathematics | Applied Mathematics: Numerical analysis, high-performance computing, partial differential equations, and machine learning applications in scientific computing. | Ph.D in Mathematics (3.71/4), University of Illinois, Chicago, May 2028 Masters of Science in Mathematics (3.63/4), University of Illinois, Chicago, August 2025 Bachelor of Science in Mathematics (3.87/4), University of Ibadan, Ibadan, Nigeria, Dec 2021 | Numerical Analysis; Partial Differential Equations; Optimization; Machine Learning; Scientific Computing; Applied Mathematics; Computational Modeling; High-Performance Computing; Stability Analysis; Convergence |
| Ahmed Senior | Ismail | University of New Hampshire | Applied Mathematics | Applied Mathematics and Computer Science | University of New Hampshire, USA Aug 2023 – Present • Ph.D. Integrated Applied Mathematics University of Silesia, Katowice, Poland Oct 2022 – Oct 2023 • M.Sc. Financial Mathematics and Economics University of L’Aquila, L’Aquila, Italy Sept 2021 – Oct 2023 • M.Sc. Mathematical Engineering University of Ilorin, Ilorin, Nigeria Oct 2018 – Jan 2022 • M.Sc. Mathematics University of Ilorin, Ilorin, Nigeria Oct 2012 – Sept 2016 • Bachelor of Science in Mathematics | Reinforcement Learning; Risk-Sensitive; Decision Making; Optimization; Value-at-Risk (VaR). |
| Zaire | Meachem | Kean University | NJSTCM | Computational Science and Engineering | BSC/Computational Science and Engineering/2025 MS /Computational Science and Engineering/2026 | Artificial Intelligence; High-Performance Computing; Machine Learning; Applied Mathematics; Frontier AI; Modeling and Simulation; Computational Methods; |
| Clement | Bosomtwe | Shorter College | Computer Science | I am majoring in Computer Science at Shorter College, with a specialty in software engineering, artificial intelligence, and cybersecurity. My studies emphasize programming fundamentals, data structures, algorithms, and basic data science, preparing me to develop secure and efficient digital solutions. | Associate Degree in Computer Science, Shorter College (In Progress, Expected Graduation: May 2026) Higher National Diploma (HND) in Building Technology, Takoradi Technical University (Earned: 2013) Visual Arts Graduate, Ghana National College (Earned: 2007) | Artificial Intelligence Cybersecurity Python Sustainable Technology Trustworthy AI Data Science for Development |
| Valerie | Liang | Johns Hopkins University | Computer Science | Computer Science, Applied Mathematics and Statistics, and Cognitive Science Focus on machine learning and computer vision - ML Expertise: Reinforcement Learning, Deep Learning, Computer Vision, Neural Networks, Data Analysis, Optimization | B.S. Computer Science, B.S Applied Mathematics and Statistics, B.A. Cognitive Science; August 2023 - May 2027 | AI; machine learning; multi-agent systems; computer vision; robotics; reinforcement learning; dynamic environments; feature extraction; practical AI; AI architectures; interpretable AI |
| Samira | Begum | Swarthmore College | Economics | I'm majoring in Economics and minoring in Education and Statistics. I’m interested in digital law and ethics as it relates to the development of ethical artificial intelligence and machine learning systems. I've considered a graduate school track in this field, using my background in computational economic investigation and math/stat to conduct research at the intersection of artificial intelligence and environmental law. I've chosen my course of study due to it's applicability and practicality outside of academia. I view economics and mathematics as tools for social change that give us the opportunity to uniquely identify data and answer questions about the world around us. | Bachelor of Arts in Economics with Minors in Education and Statistics (2026) | social policy; welfare; econometrics; poverty; housing; environmental law; data science; AI infrastructure; ML; energy optimization; climate; hpc education; ecology; information-science |
| Joshua | Adeleke | Illinois Institute of Technology | Applied Mathematics | Applied Mathematics | Ph.D./Applied Mathematics/2027 M.Sc./Mathematical Engineering/2022 B.Sc./Physics/2016 | Nonlocal Partial Differential Equations; Entropy and Weak Solutions; Measure Disintegration; Collective Dynamics; Euler–Alignment Systems; Scientific Machine Learning; Mathematical Physics. |
| Alexis Marie | Rana | Lewis and Clark College | Biochemistry and Molecular Biology/Data Science | Biochemistry and Molecular Biology minor in Data Science | Biochemistry and Molecular Biology minor in Data Science/May 2026 | Molecular Biology; Chemistry; Data Science; Machine Learning; Artificial Intelligence; Computational Modeling; Biomedical Imaging; Translational Research; Bioinformatics; Quantitative Analysis |
| Dianara | Sagastizado | Lewis and Clark College | Biochemistry/Molecular Biology, Data Science | Biochemistry/Molecular Biology, Data Science | Bachelor of Arts/ Biochemistry and Molecular Biology and Data Science/ 2027 | Molecular biology; data science; bioinformatics |
| Michael | Chukwuka | University of Kansas | Physics and Astronomy | Experimental high energy nuclear physics | MSc Physics, University of Kansas, May 2024 PhD Physics, University of Kansas, January 2022-Present, | Data Science: AI: Machine Learning: Nuclear Science: High performance computing |
| dionne | bang | georgia institute of technology | college of computing | Computer Science | BS in Computer Science (2023), MS in Computer Science (2026) | Data Infrastructure; Applied Machine Learning; Data Pipelines; Transformer Models; NLP; High-Performance Computing; FHIR; Radar Data Processing; Reproducible AI; Data Validation |
| Jenedith | Pascasio | UCSD | Chemical and NanoEngineering | Applied Mathematics (in progress). Research focus in computational chemistry, theoretical chemistry, and artificial intelligence (DFT, quantum simulations, data-driven modeling). | A.S. in Mathematics (expected 2026) – Palomar College Transferring into B.S. program in Applied Mathematics (Fall 2026) | Theoretical Chemistry; Density Functional Theory; Applied Mathematics; Quantum Materials; Fusion Technologies; Machine Learning; Computational Modeling; VASP; HPC; Chemistry; Radiation; Materials |
| Adam | Trojak | University of Illinois Chicago | Computer Science | My major is Computer Science with a concentration in Computer Systems and a Minor in Finance. I also have deep personal interest in AI, Cybersecurity, robotics, and energy systems. | Bachelors degree in Computer Science with a concentration in Computer Systems and a Minor in Finance, expecting to complete in May, 2027. | High Performance Computing; AI; Software Development; Cybersecurity; Robotics; Research; Machine Learning; Super computing; Software; Optimization; HPC; Programming; Coding; Artificial Intelligence |
| Jamil | Gafur | The University of Iowa | Computer Science | Computer Science/Machine Learning/Energy Efficient Machine Learning + Explainable Machine Learning | Associate in CS Bachelors in CS Masters in CS Ph.D. in CS (Currently Enrolled) | Resource Efficient AI; Adversarial Attack; Machine Learning; RSE |
| Aditya | Mittal | University of California, Irvine | Computer Science | Major: Computer Science (M.S.) Specialization: Machine Learning/Data Science. | 1. M.S. Computer Science; University of California, Irvine; expected graduation 2027 (In-progress). 2. B.S. Statistics; University of California, Davis; graduated in June 2025. Minors in Computer Science and Mathematics; graduated with Highest Honors; GPA: 3.90. | Machine learning fairness; reinforcement learning; natural language processing; deep generative models; applied machine learning; causal inference; data science; optimization. |
| Emmanuella | Ejichukwu | University of Michigan-Dearborn | Industrial and Systems Engineering | Industrial and Systems Engineering | Bachelors of Enfineering in Industrial and Production Engineering 2016 Master of Science in Industrial and Systems Engineering 2023 Doctor of Philosophy in Industrial and Systems Engineering (in progress) | Artificial Intelligence Machine Learning Natural Language Processing Human-Centered Design Sustainability Data Analytics Data Science Learning Analytics Cognitive Modelling Engineering Education |
| Praveeni | Mathangadeera | Oregon State University | Mathematics | Applied and computational mathematics with a focus on numerical analysis and mathematical modeling of multiphysics phenomena. | Ph.D. student in Mathematics (Oregon State University, March 2021 - present). Ph.D. candidate in Mathematics (after completion of oral preliminary exam) (Oregon State University, February 2025 - present). Master of Science in Mathematics (Oregon State University, December 2023). B.Sc (Honours) in Mathematics (University of Sri Jayewardenepura (USJ), Sri Lanka, January 2015 - December 2018). | Surface energy balance; Permafrost; Snow; Radiation; Modeling: Alaskan Arctic; Finite volume methods; Domain Decomposition; ML/NN regression model; Sobol sensitivity analysis. |
| Xingyi | Chen | Johns Hopkins University | Department of Applied Mathematics & Statistics | Major: Applied Mathematics & Statistics Minors: Computational Medicine, Mathematics Areas of Focus: Biostatistics, Biomedical Data Science, Computational Biology, Applied Statistics for Medicine and Healthcare. | Degree in Progress: Bachelor of Science (B.S.) in Applied Mathematics & Statistics, Expected May 2027 | Biomedical Data Science; Biostatistics; Statistical Genomics; Machine Learning; Applied Statistics; Data Visualization; Spatial Transcriptomics; Reproducible Workflows |
| Darren | Butler | Carnegie Mellon University | Human-computer Interaction | Human-Computer Interaction, Software Engineering | Carnegie Mellon University (CMU), Pittsburgh, PA Ph.D., Human–Computer Interaction, Aug 2022–May 2027 M.S., Human–Computer Interaction, Aug 2022–May 2026 Philander Smith University, Little Rock, AR B.S., Computer Science, May 2022 | Human-Centered Computing; Software Engineering; Human-AI Interaction; Accessibility; Education; Responsible AI; Analytics |
| Miriam | Asare-Baiden | Emory University | Computer Science and Informatics | Computer Science and Informatics (Biomedical Informatics) | - PhD Computer Science and Informatics, In progress - MEng Computer Science, 2019 - BSc Computer Science, 2016 | Equitable AI; Trustworthy AI; Algorithmic Fairness ; AI Governance and Policy ; Auditing AI Systems; Healthcare Applications |
| Ashlyn | Campbell | University of Michigan | Information | PhD Information | Doctor of Philosophy in Information; Anticipated Graduation 2030 | AI; Education; AI Literacy; Computer Science Education; Computing; Access; Curriculum; Undergraduate Research; Ethics; Responsible AI; Informal Learning; |
| Hamim Md | Adal | Unversity of New Mexico | Computer Science | Computer Science. | -- Ph.D. in Computer Science, The University of New Mexico, USA (in Progress) -- M.Sc. in Computer Science, The University of New Mexico, USA (2023) -- B.Sc. in Computer Science & Engineering, Bangladesh University of Professionals, Bangladesh (2017) | Machine Learning; Computational Modeling; Artificial Intelligence; Supervised Learning; Simulation; Reinforcement Learning; Neural Network; Deep Learning; High Performance Computing; Mathematical Modeling |
| Abdulmumeed | Rashidi | phoenix college | computer science | Computer Science | N/A | Artificial intelligence; Data Science; Machine learning; Genetics and Biological Systems; Artificial Intelligence for Medical Diagnosis |
| Mansi Sanjay | Mahajan | Oregon State University | Mathematics | Computational Mathematics (Numerical Methods and Simulations), Artificial Intelligence | Ph.D. Mathematics, minor - Artificial Intelligence, Oregon State University, expected 2028. MSc Mathematics, University of Delhi, 2022. BSc Mathematics, St. Xaviers college, Mumbai, 2020 | FEM; Numerical Modeling; Neural Network; Deep Learning; Wave Phenomena; Python; MATLAB; Multiscale Materials; High-Order Methods; Simulation; Implementation; Finite Difference |
| Pierce | Secola | North Carolina State University | OR/ECE | I completed my undergraduate degree at NC State University and hold my B.S. in Business Administration with a concentration in supply chain. To further bolster my mathematical and analytical capabilities, I then attended a one-year full-time master’s program in data science through the Institute of Advanced Analytics at NC State University. After a stint as a data scientist with Siemens Healthineers, I returned to NC State to pursue a doctorate in operations research to further progress my mathematical skills and fuel my passion of learning. I am currently in my fourth year in the OR program with the goal to complete my dissertation in December 2026. | B.S. Business Administration - Supply Chain – 08/2013-05/2018 – NC State University M.S. Analytics - Data Science – 08/2018-05/2019 – NC State University Ph.D. Operations Research [Candidate] - 08/2022-Present – NC State University | Academic Background: Stochastic Processes; Numerical Analysis; Non-Linear/Linear Programming; Neural Network Current Research/Research Interests: Computer Vision; Inventory Control NNs; BP Modeling |
| Megdalia | Bromhal | North Carolina State University | Electrical and Computer Engineering | Major - Computer Engineering Specialty - Robotics, Computer Vision, Machine Learning, Deep Learning | Bachelor of Science in Computer Science - 2025 Ph.D. in Computer Engineering - In Progress | Computer vision; Artificial intelligence; edge devices & embedded systems; security; full-stack software engineering; robotics |
| Dorcas | Godspower | North Carolina Agricultural and Technical State University | Science & Technology | Chemistry and Applied Mathematics (Honors Program) | B.S. in Chemistry, in progress, expected 2027 B.S. in Applied Mathematics, in progress, expected 2027 | Computational Chemistry; Molecular Modeling; Kinetic Monte Carlo; High-Performance Computing; Machine Learning; Energy Transfer; Sustainability; Data-Driven Science |
| Alex | Gutierrez Diaz | University of Southern California | Computer Science | Mathematics and Computer Science with an emphasis in Cryptography and Optimization. | B.S. in Mathematics, 2023 M.S. in Computer Science, Expected December 2026 | Zero-Knowledge Proofs; Post-Quantum Cryptography; SNARKs; Cryptographic Protocol Design; Rust Programming; Arkworks; Coding Theory; Lattice-Based; Applied Algebra; Machine Learning for Cryptanalysis |
| Jayana | Estacio | University of Washington Tacoma | School of Engineering and Technology | Pursuing M.S in Computer Science and Systems with a thesis "AI for Early Pelvic Adhesion Detection in Cine-MRI and Transvaginal Ultrasound " | B.S in Computer Science and Systems, June 2025 | Women's Infertility;Women's Health; Medical Imaging; |
| Danny | Hoang | Arizona State University | School of Computing and Augmented Intelligence | My current major at ASU is in Computer Science. I have many software engineering projects under my belt. Since enrolling at ASU, I have been working as an engineer at Hyrel technologies, from which I have learned how to use 3-D printers and 6-axis robotic arms. Due to training I had before college, I also have a good understanding of cybersecurity. | Computer Science, BS / Expected 2027 Applied Cybersecurity (Cerfiticate) / Expected 2027 | ai; cybersecurity; machine learning; safety; innovation; software engineering; engineering; safety; infrastructure; cloud computing; aws; prompt injection; alignment; control |
| Matiwos | Birbo | Louisiana State University | Computer Science | Computer Science, Specializing in Machine Learning and Cybersecurity | Degree Earned: Bachelor of Science in Computer Science from The University of Memphis, 2023. Degree in Progress: Ph.D. in Computer Science from Louisiana State University, 2028. | machine learning; artificial intelligence; software engineering; autonomous vehicles; cloud computing; large language models; cybersecurity; privacy-preserving AI; deep learning; social computing |
| Abubakar-sidiq | Bolakale | Grambling State University | Computer Science | Computer Science | In progress | GPU Computing; CUDA Programming; Parallel Algorithms; High-Performance Computing; Supercomputing; Energy Efficiency; Workflow Optimization; Sustainable Computing; Scientific Simulations; AI Systems |
| Nana Akwasi | Owusu | Grambling State University | Computer Science Department | I'm majoring in Computer Science and minoring in Cybersecurity | I'm currently in progress of earning my Bachelor's degree in computer science. | Artificial Intelligence; Machine Learning; Data Science; Sustainability; Human-Centered Computing; Software Engineering; Predictive Modeling; Ethical AI |
| NAGA VENKATA SAI RAMA KRISHNA ROHAN | AVIREDDY | University of Washington | School of Engineering and Technology | Computer Science | 1. PhD in Computer Science and Systems University of Washington, Tacoma 2026 - 2029 2. Master of Science in Computer Science and Systems University of Washington, Tacoma 2023 - 2025 3. Bachelor of Technology in Computer Science and Engineering: Vellore Institute of Technology, Chennai, Tamil Nadu 2019 - 2023 | Multimodal learning;Graph neural networks;Spatial graphs;Causal modeling;Representation learning;Biological mechanisms;Interpretable AI;Scientific reasoning;Agentic AI;Foundation models;Tissue imaging;Spatial transcriptomics;Spatial proteomics;Microenvironment modeling;Cell-cell communication;Molecular phenotyping;AI for discovery; |
| Frank | Nambeh | Grambling State University | Computer Science | Computer Science | Bachelors, Computer Science/2028 | Artificial intelligence; machine learning; trustworthy AI; data engineering; large language models; federated learning; AI for social good; automation; reinforcement learning |
| Khuaja Sohrabuddin | Sediqi | university of Iliinois Urbana Champaign | Information sciences | Information sciences and data science | Bachelor’s in Information Sciences and Data Science, in progress (B.S./IS+DS/2027) | Data Science; AI; Machine Learning; HPC; Scientific Simulations; Computational Modeling; Predictive Analytics. |
| Saheed | Ganiyu | University of Arizona | Applied Mathematics | Applied Mathematics | PhD degree | Multitask Learning; Negative Transfer Learning; Transfer Learning; Optimization; Generalization; Deep Networks; Adaptive Regularization; Artificial Neural Network; Machine Learning; Data Science. |
| Augustine | Manu-Frimpong | Grambling State University | Computer Science | Computer Science | B.S. in Computer Science, Grambling State University (Expected 2027) | AI for Science; Distributed ML; HPC Systems; Scientific Computing; Numerical Optimization; Workflow Automation; AI–HPC Co-Design; Data-Intensive Science; Applied AI Research |
| Ngoc Chau | Nguyen | California State Polytechnic University, Pomona | College Of Science, Computer Science | I major in Computer Science and minor in Mathematics. I work on projects in Java, C++, C#, and Python. | I earned an Associate's Degree in Computer Science from Orange Coast College in Costa Mesa, California, and then transferred to California State Polytechnic University, Pomona, to complete my bachelor's degree. I am on track to graduate in Spring 2027. | software; machine learning; deep learning; reinforce learning; artificial intelligence; computer vision; math; education; biochemistry; genetic; materials; environmental; economics; mechanical; electrical |
| Urjoshi | Sinha | Iowa State University | Computer Science | Computer Science | PhD (in progress) MS Computer Science (Completed) Bachelor of Technology in Computer Science and Engineering (Completed) | testing, data-driven, optimization, LLM, scientific tool, software configurability, metamorphic testing, software reliability |
| Hattie | Lyons | Loyola University Chicago | Department of Computer Science | Computer Science with a focus on machine learning/AI and data science. | BS in Prelaw/Criminal Justice at Southern Illinois University (graduated May 2023) MS in Computer Science at Loyola University Chicago (in progress) | hallucination; interpretability; drift; supervision; embeddings; centroids; modularity; architecture; LLMs; robustness; anomaly; detection; pipelines; infrastructure; reproducibility; reasoning; signals; alignment; safety; narratives |
| Ndoumbe | Ndoye | University of Rhode Island | Computer Science | Computer Science | Degree in Progress: Computer Science, September 2022 - May 2026 | AI decision support; sustainable technology; user adoption; product strategy; rollout planning; system integration; data analysis; optimization; cybersecurity compliance; user behavior |
| Sarthak | Sharma | State University of New York at Buffalo | Institute for Artificial Intelligence and Data Science | I am currently a second-year PhD student in "Computational and Data Sciences" at the State University of New York at Buffalo. I am skilled in computational science, data science, artificial intelligence / machine learning, high performance computing / parallel programming, software development, etc. I can program in Python, C, C++, Java, etc. My PhD research is in using high performance computing for simulations of plasma physics / magnetohydrodynamics for nuclear fusion (renewable energy). | Doctor of Philosophy (Computational and Data Sciences), 2027 (expected), State University of New York at Buffalo. Master of Science (Computational Science), 2022, Florida State University. Master of Science in Engineering (Mechanical Engineering), 2020, Indian Institute of Science. Bachelor of Engineering (Mechanical Engineering), 2015, University of Mumbai. | high performance computing; artificial intelligence; machine learning; computational science; data science; plasma physics; nuclear fusion; renewable energy; computational fluid dynamics |
| Ashna | Ahmed | Texas State University | Computer Science | Computer Science, focusing on High Performance Computing (Scalable systems) | PhD in Computer Science (2nd Year) | HPC scheduling; multi-objective optimization; surrogate modeling; energy-efficient computing; AI for science; scalable ML systems; distributed training; resource allocation; data engineering; |
| Sourajit | Saha | University of Maryland, Baltimore County | Computer Science and Electrical Engineering | Computer Science (Computer Vision, Machine Learning) | 2021–Ongoing PhD, Computer Science, University of Maryland, Baltimore County, Advisor: Tejas Gokhale. 2021–2023 Masters of Science, Computer Science, University of Maryland, Baltimore County, Academic Supervisor: Tim Oates, David Chapman. 2013–2017 Bachelor of Science, Computer Science, BRAC University, Advisor: Suraiya Tairin | Interactive Visual Search; Multi-modal Retrieval; Multi-modal Reasoning; Video Understanding; Computer Vision |
| Wisdom | Walker | North Carolina Agricultural and Technical | Computer Science | Computer Science | Bachelor of Science in Computer Science, North Carolina A&T State University, Expected 2029 Associate of Arts, Central Piedmont Community College, 2025 | AI for safety; online predator detection; child protection; ethical AI; human-computer interaction; cybersecurity; web development; machine learning; digital forensics. |
| Sree Sai Charan | Vaitla | Youngstown State University | Computer Science | Computer Science | Bachelor's Degree in Computer Science/ Anticipated Graduation : May 2027 | Artificial Intelligence; Machine Learning; Graph Neural Networks; Computational Sustainability; Data Science; Scientific Computing |
| Isiaha | Rodriguez | Arizona State University | School of Mathematical and Statistical Sciences | Ph.D (in progress)/Applied Mathematics. | Bachelors of Science/ Applied Mathematics/2025 | Machine learning; computational mathematics; scientific imaging; inverse problems; applied analysis; optimization; applied AI; numerical modeling; inclusive research; AI for science |
| Maria Camila | Mejia Garcia | The University of Texas Rio Grande Valley | School of Mathematical and Statistical Sciences | My major is in Mathematics. My specialty is in statistics, data science, and applied mathematics, with a focus on machine learning techniques, particularly for medical and environmental applications. | Degree in Mathematics / Mathematics/ 2020 Masters in science-Applied Mathematics/ Mathematics and Statistics with Applications to Medical data/ 2025 PhD. in Mathematics and Statistics with Interdisciplinary Applications/ Mathematics, Machine learning and Environmental Science/ Expected to graduate by 2026 | Machine Learning; Greenhouse Gas emissions; Environmental Modeling; Clinical Data, Mathematics; AI; Geospatial Data; Bayesian Models; Data Science for life sciences. |
| Fatema | Siddika | Iowa State University | Computer Science | Computer Science | Ph.D. in Computer Science, in progress, class of 2026 | Parameter Efficient Fine-tuning; Federated Representation Learning; Continual learning; Sparse Fine-Tuning; Federated Learning; Large Language Models; Mixture-of-Experts; Knowledge Retention; Task Heterogeneity |
| Kojo | Adu-Gyamfi | Iowa State University | Institute for Transportation | • Intelligent Infrastructure Engineering • Computer Science • Civil Engineering • Electrical/Electronic Engineering | • Ph.D. in Intelligent Infrastructure Engineering, Iowa State University — In Progress (Expected Dec 2025) • M.S. in Computer Science, Iowa State University — In Progress (Expected Dec 2025) • M.S. in Civil Engineering, Iowa State University — 2023 • B.S. in Electrical/Electronic Engineering, Kwame Nkrumah University of Science and Technology (KNUST) — 2017 | Artificial Intelligence; High-Performance Computing; Intelligent Infrastructure; Sustainable Agriculture; Computer Vision; Edge AI; Multimodal Data Fusion; Transportation Systems; Document Automation |
| Rishabh | Jain | Iowa State University | Computer Science | Computer Science | Bachelor of Science in Computer Science, Expected May 2027, Iowa State University | Artificial Intelligence; Generative Models; Machine Learning; Java; Computer Vision; Data Analytics; OCR; RAG; Python; SQL; Tableau; Cloud Computing; Autonomous Systems |
