Javeed Kittur | Engineering Education | Best Researcher Award

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Dr. Javeed Kittur | Engineering Education | Best Researcher Award

Assistant Professor at The University of Oklahoma , United States

🌟 Dr. Javeed Kittur is an Assistant Professor of Engineering Pathways at the University of Oklahoma, with expertise in engineering education and a passion for advancing student success. 📚 Previously, Dr. Javeed Kittur served as an Assistant Professor at KLE Technological University and worked as an Assistant Systems Engineer at Tata Consultancy Services. 💡 With a Ph.D. in Engineering Education Systems & Design from Arizona State University, Dr. Javeed Kittur focuses on generative AI, data analytics, and diversity in engineering. 🌍 Recognized with numerous accolades, Dr. Javeed Kittur is committed to transforming education through innovation. 🎓

Publication Profile

scopus

Education🎓

Ph.D. in Engineering Education Systems & Design, Arizona State University, 2022. M.Tech. in Power Systems Engineering (Gold Medalist), The National Institute of Engineering, Mysore, India, 2014.  B.E. in Electrical & Electronics Engineering, B.V.B. College of Engineering & Technology, India, 2011.

Experience💼

Assistant Professor, Engineering Pathways, University of Oklahoma (2022-present).  Assistant Professor, Electrical & Electronics Engineering, KLE Technological University, India (2014-2018).  Assistant Systems Engineer, UKPN-Data Update Project, Tata Consultancy Services, India (2011-2012).

Awards & Honors🏆

Outstanding Faculty Award, University of Oklahoma, 2024.  Teach Access Fellow, Teach Access Fellowship Program, 2024 ($4,000).  Ing.Paed.IGIP Award, ICTIEE, 2018. Gold Medalist, M.Tech., National Institute of Engineering, 2014. Best Paper Award, IEEE TAP Energy Conference, 2015.

Research Focus🤖 

Generative AI in education.  Enhancing student retention in online and in-person engineering programs.  Data mining and learning analytics in engineering education.  Broadening participation in engineering disciplines.  Faculty preparedness across cognitive, affective, and psychomotor domains.

Publications 📖

Leadership Capabilities Exploration and Development via an Experiential Leadership Course: A Work in Progress

Authors: Wolfinbarger, K.G., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Development of leadership skills in engineering students through experiential courses emphasizing real-world applications.

Influence of Interpersonal Interactions on Student Engagement: Online Undergraduate Engineering Students’ Perspectives

Authors: Holt, K., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Examines how peer and faculty interactions impact engagement in online engineering programs.

Does Task Complexity Matter? Event-Related Potential (ERP) Data Analysis of the Stroop Effect in Relation to Thermal Conditions

Authors: Mobaraki-Omoumi, M.E., Kittur, J., Siddique, Z.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Investigates cognitive load and thermal conditions using ERP data and the Stroop effect.

Examining the Engineering Self-Efficacy, Design Self-Efficacy, Intentions to Persist, and Sense of Belonging of First-Year Engineering Students through Community-Partnered Projects

Authors: Kittur, J., Olayemi, M., Harvey, T., Taffe, H.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Explores how community projects enhance engineering students’ self-efficacy and sense of belonging.

Design and Development of Survey Instrument to Measure Engineering Students’ Perspectives on the Use of ChatGPT

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Development and validation of a tool to evaluate student perceptions of ChatGPT in engineering education.

Examining Students’ Beliefs on the Use of ChatGPT in Engineering

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Explores the ethical and practical implications of ChatGPT in engineering studies.

Engineering Doctoral Students’ Expectations, Reflections, and Concerns Regarding Future in Academia

Authors: Garcia, O.J., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Analyzes the aspirations and apprehensions of doctoral students aiming for academic careers.

Breaking the Stigma: Fostering Mental Health Resilience in Engineering – A Systematic Literature Review

Authors: Nguyen, H.T., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Reviews strategies for addressing mental health challenges in engineering education.

Cognitive Domain of Learning: Exploring Undergraduate Engineering Students’ Understanding and Perceptions

Authors: Coffman, A.L., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 1.

Focus: Investigates students’ cognitive understanding of engineering concepts and their learning experiences.

Conclusion

The candidate is a strong contender for the Best Researcher Award due to their exceptional contributions to engineering education, demonstrated innovation, and dedication to inclusive and transformative teaching methodologies. Their forward-looking research focus on AI, analytics, and retention strategies aligns perfectly with contemporary educational needs. Strengthening their global research collaborations, journal publication portfolio, and funding achievements will further enhance their competitiveness for this award.