This workshop introduces students to the intersection of quantum information science and cybersecurity, one of the most consequential frontiers in the field. It opens with a concise presentation covering the core concepts students need to engage meaningfully with quantum security including: qubits, superposition, and entanglement as they relate to information processing; how Shor’s algorithm threatens widely deployed public-key cryptosystems such as RSA; and how quantum key distribution (QKD) protocols like BB84 leverage the laws of physics to achieve theoretically unbreakable security communication. Using Qiskit, IBM’s open source quantum computing framework, students implement a simplified BB84 key distribution protocol, simulate eavesdropping, and observe how quantum mechanics makes interception detectable, and explore the behavior of a basic quantum circuit that illustrates why classical cryptanalysis fails against certain quantum algorithms. No prior quantum computing experience is required. The exercise is designed to be accessible while giving students a genuine taste of programming for quantum systems.
The Hackathon brings the material students learned during the morning workshops to real life in a competitive team-based format. Students work in teams (x3) to solve challenges that these their cybersecurity skills across multiple domains. This year’s Hackathon introduces a dedicated quantum security challenge track. Teams will tackle problems that require reasoning about quantum cryptographic protocols, identifying weaknesses in classical cryptosystems that quantum algorithms can exploit and defending communications against simulated quantum-capable adversaries.
This workshop introduces students to the next generation of Artificial Intelligence by exploring AI agents and the emerging Agentic Web. Building on foundational knowledge of large language models (LLMs), students will learn how intelligent agents extend foundation models through planning, memory, tools, workflows, and multi-agent collaboration to accomplish complex tasks autonomously.
Students will gain hands-on experience designing, building, and deploying AI agents using modern agent development frameworks and cloud-based AI services. Through guided labs, participants will create single-agent and multi-agent systems, integrate external tools and APIs, explore common agent architectures, and deploy their applications for real-world use.
The workshop will be run through the CSU East Bay Google Developer Group (GDG) Club, advised by Dr. Lynne Grewe with Nidhi Prajapati, Ujas Goti, Chanpreet Singh and Sarmad Habib. It will emphasizing peer-based learning and hands-on development. The session will be highly interactive, with guided labs and collaborative exercises designed to help students build production-style AI agents while gaining practical experience with modern agentic application development.
This 60-minute interactive workshop is designed by the UTEP Color Stack student organization to explore how bias can be introduced into large language models (LLMs) throughout the seven stages of the AI training pipeline. Students will gain a hands-on understanding of where bias originates, how it propagates through AI systems, and why it matters in real-world applications. Through live demos and team activities, students will develop mitigation strategies grounded in responsible engineering practice. Designed for students at all technical levels, the workshop connects AI development decision-making to real-world consequences and asks: what would you do differently if you were in the room when decisions are being made?
Sharpen your problem-solving skills and learn how to tackle technical interview challenges with confidence. Discover proven strategies to break down complex problems, strengthen your logical thinking, and develop a structured approach to solving coding challenges step by step. Gain the skills and confidence needed to excel in technical interviews.
This session will provide an overview of Gen AI research, and Gen AI curriculum integration into CS core classes. Discussion will include barriers students may face when adopting Gen AI curriculum and timelines for adopting Gen AI into core CS courses.
Build confidence and prepare for technical interviews through realistic mock interview sessions. Practice answering coding and problem-solving questions in a collaborative environment and learn strategies to improve your communication, technical approach and interview performance. Whether it is your first interview or you are preparing for competitive internships and full-time roles, this session will help you put your skills into practice!
Human-AI collaboration has emerged as a foundational skill for modern computing professionals. This hands-on workshop introduces participants to a rapid design process in which AI serves as a collaborative partner for generating interface concepts and producing a click-through prototype. Participants will then apply established human-computer interaction (HCI) methods to evaluate the prototype, identify usability issues, and iteratively improve the design. The workshop emphasizes both the strengths and limitations of AI-assisted design, highlighting the complementary roles of human judgment and artificial intelligence throughout the design process. Participants will leave with a functional interactive prototype, practical experience collaborating with AI, and a repeatable workflow for incorporating AI into future design and development projects.
This session will provide an overview of Gen AI research, and Gen AI curriculum integration into CS core classes. Discussion will include barriers faculty may face when adopting Gen AI curriculum and timelines for adopting Gen AI into core CS courses.
This session provides an introductory module on Quantum Computing (QC) foundations, designed to build ‘quantum-aware’ literacy by exploring how quantum parallelism may eventually address current limitations in Generative AI scale and optimization. This session serves as the first exposure to QC and as motivation for the following sessions.
This workshop introduces the fundamental concepts of quantum computing and connects them to emerging applications in cybersecurity and artificial intelligence. Participants will learn the basics of qubits, superposition, entanglement, and quantum circuits. Two hands-on demonstrations will show how Shor’s algorithm can break a toy RSA example and how quantum machine learning can solve a simple learning task. No prior experience with quantum computing is required.
Learn about CAHSI’s efforts in building consortia to promote Embedded Ethics, Generative AI Education, and AI Readiness.
Artificial Intelligence, especially Generative AI, is transforming how students learn, create, and think. But how can K-12 teachers keep up, use these tools responsibly, and prepare their students for an AI driven world?
The luncheon is an opportunity for CAHSI faculty, students, and industry sponsors to network. CAHSI Student Scholars, Advocates are recognized for their community engagement efforts. This event will also recognize Google CAHSI Dissertation Awardees.
Experts lead this workshop designed to provide an interactive introduction to High-Performance Computing (HPC), focusing on foundational concepts, practical applications, and hands-on exercises. Attendees explore the basics of supercomputers, learn essential Linux skills, and gain experience with parallel programming using MPI and OpenMP. Through guided exercises, participants build and run serial and parallel programs, analyze differences in execution, and manage jobs in an HPC environment. Hands-on exercises conducted in an AWS cluster environment ensure practical exposure to real-world HPC systems.
Students must: bring fully charged laptops and bring a government-issued photo ID for access to workshop resources.
Students practice team skills and engage in a hands-on competition to find patterns and answer questions about a pre-determined set of raw data. This includes an overview on the relevance of data analytics in the workforce. Recommended for final-year undergraduate students and new graduate students.
This invitation-only session is directed at emerging computer scientists and technologists interested in developing professional connections and career pathways. The session features leaders and industry representatives who will discuss effective networking strategies both on campus and at professional events.
Continental breakfast to be served at 8:00 AM (invitation only).
Build confidence and prepare for technical interviews through realistic mock interview sessions. Practice answering coding and problem-solving questions in a supportive environment and learn strategies to improve your communication, technical approach and interview performance. Whether it is your first interview or you are preparing for competitive internships and full-time roles, this session will help you put your skills into practice!
Learn more about CAHSI’s AI efforts and initiatives started by CAHSI’s Cybersecurity Curriculum.
Learn and experience the CAHSI approach to developing stronger research ideas through constructive critique, effective questioning, and interdisciplinary. Participants will critique a sample research abstract, refine their own research ideas through guided peer discussions, and explore strategies for using collaborative research practices. Doctoral Scholars Network (DSN) will be participating in refining their own research work.
This interactive session for K-12 teachers is designed by the UTEP Color Stack student organization to explore how bias can be introduced into large language models (LLMs) throughout the seven stages of the AI training pipeline. Participants will gain a hands-on understanding of where bias originates, how it propagates through AI systems, and why it matters in real-world applications. Through live demos and team activities, participants will develop mitigation strategies grounded in responsible engineering practice. Designed for all technical levels, the workshop connects AI development decision-making to real-world consequences and asks: what would you do differently if you were in the room when decisions are being made?
This session invites K-12 computer science teachers to explore the emerging role of Generative AI as a tool for teaching programming. Through a short lecture followed by hands-on group work and discussion, participants will examine practical use cases, opportunities, and limitations of tools like ChatGPT and Copilot in the CS classroom, and leave with concrete strategies for integrating Generative AI into their own instruction.
The research poster competition gives undergraduate students the opportunity to compete and showcase their scientific and technical expertise. Students submit a comprehensive technical abstract, from which presenters are selected to display their posters and answer questions during the poster session.
This is an excellent opportunity to identify potential employees and prospective graduate students early. Up to 150 posters will be accepted from CAHSI students.
The ‘Explore CAHSI Graduate Pathways’ is located with the GMiS Career Fair and provides students with an opportunity to learn about how graduate studies build their assets and lead to opportunities that can change their future. Students who visit the display can identify graduate programs in their region (West, Southwest, Southeast, and North) and meet with representatives, including faculty and students, to learn more about specific programs and opportunities.