Math and Computer Science

MATH

Math and Computer Science

Math and Computer Science

Math and Computer Science

Math and Computer Science

Math and Computer Science

Math and Computer Science

Kamal Nyaupane is a dedicated professional specializing in Computer Science applications, including Machine Learning, scientific data analysis, big data programming, and data visualization. With a robust background in Computer Science, he brings a wealth of expertise and practical experience to his endeavors. Kamal's passion lies in leveraging algorithms and statistical models to extract valuable insights from intricate datasets. He is particularly driven by the intersection of Machine Learning and scientific research, striving to pioneer innovative applications in interdisciplinary fields. His work often involves extensive Remote Sensing datasets, where he employs advanced data analysis techniques and address the complexities inherent in such data. Committed to remaining at the forefront of technological advancements, Kamal actively immerses himself in big data programming. He harnesses cutting-edge tools and platforms to tackle challenging problems, utilizing his proficiency in various programming languages and tools to develop efficient and scalable solutions for processing and analyzing large datasets. Moreover, Kamal places great value on collaboration and knowledge sharing, evident through his partnerships with researchers from Sandia National Laboratories. He actively contributes his expertise to collaborative projects, pushing the boundaries of scientific discovery and innovation. Beyond his professional pursuits, Kamal is deeply committed to continuous learning and development. Actively engaging in multiple organizations, he stays abreast of the latest developments in his field and fosters an environment of idea exchange among his peers. Additionally, working with his students is his passion, as he finds great fulfillment in guiding and mentoring the next generation of Computer Science professionals. Overall, Kamal Nyaupane's forward-thinking approach, coupled with his dedication to advancing Machine Learning, scientific data analysis, and big data programming, renders him an invaluable asset to any team or project.

Math and Computer Science

Math and Computer Science

25+ years in Education, 16 of those as a Math teacher at the secondary level, and 9 of those as an administrator for public schools. For the last 2 years, as an adjunct Math professor.

Math and Computer Science

Mathematics

Tanya Rivers is a dedicated educator and scholar in the field of developmental math, with a passion for empowering students to excel in their educational endeavors. With a diverse academic background, she holds a degree in Biomedical Engineering from Rensselaer Polytechnic Institute (RPI) and a degree in Mathematics from Western Washington University. Throughout her career, Tanya has demonstrated a strong commitment to teaching, mentorship, and service, serving on the New Mexico Public Education Department (NM PED) Math and Science Advisory Council and earning recognition through awards in both math and STEM education. Her innovative and empowering approaches to instruction and unwavering support for students with diverse backgrounds have garnered acclaim from colleagues and students alike. As a professor, Tanya embraces a growth mindset to foster an inclusive learning environment where every student feels valued and capable of achieving their academic goals. Her dedication to student success extends beyond the classroom, as she actively engages in student support programming and community outreach initiatives aimed at promoting mathematical literacy and empowerment throughout the community. Tanya Rivers embodies the spirit of excellence in education, continually striving to inspire all students to embrace their inner mathematician.

Math and Computer Science

Mathematics

Sarah completed her Bachelor of Science in Mathematics in 2016 and spent the next three years teaching various mathematics courses at a Catholic high school in New Orleans, Louisiana. Following this, she took on the role of manager at a math tutoring center in Metairie, Louisiana, where she tutored a wide range of students, from six-year-olds to college undergraduates. She eventually made her way to the west side of the country, completing her graduate studies at Boise State University. Her master’s thesis focused on algebraic K-theory, with a particular emphasis on the K₀ groups of certain rings. While Sarah's research is rooted in pure mathematics, she has a strong interest in enhancing mathematics education through virtual platforms.

Math and Computer Science

Mathematics Education

Dr. Scott Smith is a professor of mathematics education who has dedicated his career to preparing future generations of teachers. He teaches various mathematics courses to preservice teachers. Dr. Smith's expertise extends beyond the classroom, as he supervises the practicum experiences of preservice teachers in the secondary education and mathematics double major, guiding them through real-world teaching scenarios. His scholarly interests are related to the sociocultural aspects of learning and education, including how social interactions, classroom expectations, and cultural norms shape educational experiences for students and teachers alike. Dr. Smith’s professional memberships include the National Council of Teachers of Mathematics (NCTM), the International Society of the Learning Sciences (ISLS), and the American Educational Research Association (AERA).

Math and Computer Science

Math and Computer Science

Math and Computer Science

Developmental Mathematics

Math and Computer Science

Math and Computer Science

Math and Computer Science

Math and Computer Science

Math 1130

Shanon has taught math at WNMU for over 20 years.