Alfa Heryudono, PhD

Associate Professor

Mathematics

Research Website

508-999-8516

_fcpwsbmlm>sk_qqb,cbs

Liberal Arts 394H

Education

2008University of DelawarePhD
2002Southern Illinois University EdwardsvilleMS
2000University of IndonesiaBS

Teaching

  • Mathematical and Computational Consulting
  • Numerical Methods for PDEs
  • Numerical Linear Algebra
  • Numerical Optimization
  • Mathematical Modeling

Teaching

Programs

Teaching

Courses

Topics in high performance computing (HPC). Topics will be selected from the following: parallel processing, computer arithmetic, processes and operating systems, memory hierarchies, compilers, run time environment, memory allocation, preprocessors, multi-cores, clusters, and message passing. Introduction to the design, analysis, and implementation, of high-performance computational science and engineering applications.

Doctoral thesis proposal development based on technical writing process, data interpretation, experimental design. Students who successfully complete the course will be able to assess information from the primary scientific literature, formulate scientific questions (hypotheses), and generate an experimental plan to help validate or nullify their hypothesis. Students will demonstrate a command of oral and written communication skills by completing this course.

Research investigations of a fundamental and/or applied nature defining a topic area and preliminary results for the dissertation proposal undertaken before the student has qualified for EAS 701. With approval of the student's graduate committee, up to 15 credits of EAS 601 may be applied to the 30 credit requirement for dissertation research.

Students research a topic of their choice in scientific computing over two successive semesters. Research skills taught include literature and web searches, reading scientific papers, and organizing and keeping research records.

Students research a topic of their choice in scientific computing over two successive semesters. Research skills taught include literature and web searches, reading scientific papers, and organizing and keeping research records.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.

Topics in high performance computing (HPC). Topics will be selected from the following: parallel processing, computer arithmetic, processes and operating systems, memory hierarchies, compilers, run time environment, memory allocation, preprocessors, multi-cores, clusters, and message passing. Introduction to the design, analysis, and implementation, of high-performance computational science and engineering applications.

An intensive introduction to real-world mathematics using an assortment of mathematical challenges presented by industrial-problems. This course aims to prepare students to integrate and apply their mathematical knowledge to novel problems presented in industrial or research settings. Topics will be selected from the following: multidisciplinary projects solicited from various research groups at UMass Dartmouth, from local and national industries/universities/labs, and from crowdsourcing websites.

An intensive introduction to real-world mathematics using an assortment of mathematical challenges presented by industrial-problems. This course aims to prepare students to integrate and apply their mathematical knowledge to novel problems presented in industrial or research settings. Topics will be selected from the following: multidisciplinary projects solicited from various research groups at UMass Dartmouth, from local and national industries/universities/labs, and from crowdsourcing websites.

Research

Research Interests

  • Radial basis function methods
  • Spectral and pseudospectral methods
  • Tear film dynamics
  • Numerical conformal mapping
  • Mathematical problems in industry

External links

Latest from Alfa

Request edits to your profile