Kloub, Lina

Assistant Professor in Residence, School of Computing

Email lina.kloub@uconn.edu
Phone (860) 486-0543
Mailing Address University of Connecticut 371 Fairfield Way, Unit 4155 Storrs, CT 06269-4155
Office Information Technology Engineering building (ITE) room 302

Lina Kloub is an Assistant Professor in Residence in the School of Computing at the University of Connecticut and a Neuroinclusive Engineering Teaching Fellow. She earned her Ph.D. in Computer Science and Engineering from UConn in 2021. Dr. Kloub is a Faculty Affiliate in AI at the Center for Excellence in Teaching and Learning (CETL), where she supports faculty across disciplines in integrating AI responsibly into their courses.

Dr. Kloub is deeply committed to inclusive teaching practices that foster belonging, accessibility, and student success. Her teaching and mentoring philosophy centers on creating collaborative and supportive environments where students can develop both technical expertise and essential career readiness skills. She has been recognized with

Her teaching and mentoring philosophy centers on creating inclusive, collaborative, and supportive learning environments where students can thrive both academically and professionally. She has been recognized with the 2025 AAUP Teaching Excellence: Early Career Award and the Belonging and Advocacy Educator Award from the Vergnano Institute for Inclusion, reflecting her dedication to innovation in engineering education.

 

  • Artificial Intelligence in education and ethical AI integration

  • Inclusive pedagogy and Universal Design for Learning (UDL)

  • Career readiness and competency-based education in engineering

  • Engineering Education
  • Bioinformatics and Computational biology
  • Algorithms

  • AI Integration in Education: Developing frameworks to help faculty adopt AI responsibly in their teaching, including interactive assignments, group projects, and curriculum design.

  • Career Readiness in Engineering: Incorporating NACE career competencies into computing courses through group projects, reflective surveys, and hands-on activities.

  • Neuroinclusive Teaching Practices: Redesigning courses such as Algorithms and Complexity to apply I-standards for inclusivity, accessibility, and wellness.

  • Faculty Development Workshops: Leading initiatives to train faculty across disciplines on using AI for course design, assessment, and engagement.

Algorithms and Complexity (CSE 3500): Redesigned using inclusive teaching standards and project-based learning. The course emphasizes understanding algorithm design paradigms (divide-and-conquer, greedy, dynamic programming, randomized algorithms), and computational complexity. Students work in teams on research-driven projects to practice communication, teamwork, and career readiness competencies.

Data Structures and Object-Oriented Design (CSE 2050): Focuses on core data structures and object-oriented programming principles in Python. Students engage in collaborative coding labs and weekly assignments that reinforce concepts in both algorithmic efficiency and software design. The course emphasizes problem-solving, debugging, and peer collaboration.

Software Engineering (CSE 2102): Covers the fundamentals of software engineering, including requirements analysis, design patterns, testing, and documentation. Students learn modern development practices such as Agile methodology, Git/GitHub, and CI/CD concepts. A semester-long team project simulates real-world development, giving students hands-on experience with collaboration, project management, and stakeholder communication.

Kloub, V. Patel, T. Heuy – Best paper award "AI tools in the Spotlight: Addressing Educators' Concerns and Building Trust" 2025 ASEE-NE Conference

Kloub – "Empowering Students with AI: A Universal Design Framework for Learning and Growth" 2025 ASEE-NE Conference

Kloub, C. Smith, F. Saulat "Enhancing Career Readiness Skills for Engineering Students with Artificial Intelligence" 2025 ASEE-NE Conference

Alshugran, L. Kloub "Preserving Student Privacy While Leveraging Generative AI in Higher Education" 2025 ASEE-NE Conference

Kloub, A. Gupta – "ChatGPT in Computer Science Education: Exploring Benefits, Challenges, and Ethical Considerations" ASEE 2024.

Kloub – "Engaging Minds, Elevating Performance: The Transformative Power of Interactive Review Sessions in Computer Science Courses," ASEE 2024.

Kloub, S. Gosselin, J. Graf, J. P. Gogarten, M. S. Bansal – "Investigating Additive and Replacing Horizontal Gene Transfers Using Phylogenies and Whole Genomes," Genome Biology and Evolution, 16(9), evae180, 2024.

Kloub et al. – "Systematic Detection of Large-Scale Multigene Horizontal Transfer in Prokaryotes," Molecular Biology and Evolution, 38(6): 2639–2659, 2021.

S. Yoo, L. Kloub – "Mobile Web Application with Shortest Path Finder: Traveler’s Sidekick," IEEE SAI Computing Conference, 2016.

Organizer of The Algorithm of Crafting, a weekly workshop that blends art, mindfulness, and community-building. Held at the BEACH room, these sessions provide undergraduate students with a supportive space to reduce stress and foster connection. (Time for this semester will be announced soon.)

Supervised undergraduate students on research projects leading to publications and conference presentations:

  • Fall 2023:
    • Aayush Gupta
  • Spring 2024:
    • Aayush Gupta
  • Fall 2024:
    • Vraj Patel
  • Spring 2025:
    • Vraj Patel
    • Christina Smith
    • Faiyhaa-Sydra Saulat
  • Fall 2025:
    • Faiyhaa-Sydra Saulat
    • Karina Jadia
    • Xinyi Li
    • Anna Melnyk
    • Neev Vachhani
    • Alejandro Reilly
    • Tanya Parra-Sanchez

 

 

  • Neuroinclusive Engineering Teaching Fellow, UConn School of Engineering

  • Faculty Affiliate for AI, UConn Center for Excellence in Teaching and Learning (CETL)

  • Faculty Mentor, NSF S-STEM Scholarship Program