The Dissertation Writing Retreat will present several tips, tools, techniques, and strategies to help graduate students progress through the difficult dissertation/proposal writing stage. The workshop will focus on :
If you are at the dissertation proposal preparation, writing a research paper with your mentors or at the dissertation completion stage, you are qualified to sign up for this program. The Dissertation House will take place at the Pittsburgh Airport Marriott 777 Aten Road Coraopolis, Pennsylvania 15108 USA from May 29th – 31st. 8:00am -11pm with breaks in between.
Dr. Carter-Veale is the CEO of PhDCompletion.com, a co-founder of the PROMISE Dissertation House, the on-campus dissertation coach at the University of Maryland Baltimore County (UMBC) and a coauthor of The Dissertation House Model: Doctoral Student Experiences Coping and Writing in a Shared Knowledge Community and the chapter Successful PhD Pathways to Advanced STEM Careers for Black Women in Beyond Stock Stories and Folktales: African Americans’ Paths to STEM Fields.
The NSF AGEP PITT STRIVE Program is organizing the 4th Annual PITT STRIVE Retreat. This summer retreat is open to Swanson School of Engineering faculty mentors and PhD mentees. The retreat is primarily designed to improve faculty-student engagement
and relational mentorship that support the success of underrepresented minority PhD students by cultivating professional and personal bonds and communication between mentors and mentees.
The PITT STRIVE summer retreat includes accommodation throughout the duration of the retreat, transportation and meals are also covered. The retreat will start Thursday, August 8 at 2:00 pm and end Friday, August 9 at approximately 5:00 pm.
This project is supported by the National Science Foundation under Grant No. 1434012
Machine learning, as the driving force of this wave of AI, provides
powerful solutions to many real-world technical and scientific
challenges. The 29th MLSP workshop, an annual event organized by the
IEEE Signal Processing Society MLSP Technical Committee, will present
the most recent and exciting advances in machine learning for signal
processing through keynote talks, tutorials, as well as special and
regular single-track sessions.
For more information visit https://www.ieeemlsp.cc/