Julian Dolby is affiliated with IBM in the United States and has an extensive publication record primarily in the field of Computer Science, with a focus on Artificial Intelligence and Information Systems. The research covers several subfields including Software, Signal Processing, and Management Science and Operations Research.
The scientist's research topics include Software Engineering Research, Computational Physics and Python Applications, Machine Learning and Data Classification, Topic Modeling, Software Testing and Debugging Techniques, Natural Language Processing Techniques, and Data Quality and Management.
Julian Dolby has contributed multiple papers to various respected venues. Some notable recent papers include:
Frequently collaborating with other researchers, Julian Dolby's notable coauthors include Kavitha Srinivas, Ibrahim Abdelaziz, Horst Samulowitz, Mossad Helali, and Essam Mansour. The collaboration count ranges from three to eleven papers with these coauthors.
The primary publication venues for Julian Dolby's works encompass:
The publication record reflects a strong interdisciplinary approach with a concentration on advancing toolsets and datasets for software engineering and AI-related challenges. Julian Dolby's work contributes to both foundational aspects and practical applications within these domains.
B. Alpern;S. Augart;S. M. Blackburn;M. Butrico
Mandana Vaziri;Frank Tip;Julian Dolby
Mihaela A. Bornea;Julian Dolby;Anastasios Kementsietsidis;Kavitha Srinivas
Shay Artzi;Julian Dolby;Simon Holm Jensen;Anders Moller
S Artzi;A Kiezun;J Dolby;F Tip
Shay Artzi;Adam Kiezun;Julian Dolby;Frank Tip
Shay Artzi;Julian Dolby;Frank Tip;Marco Pistoia
Salvatore Guarnieri;Marco Pistoia;Omer Tripp;Julian Dolby
Manu Sridharan;Julian Dolby;Satish Chandra;Max Schäfer
Jeff Huang;Charles Zhang;Julian Dolby
Asger Feldthaus;Max Schafer;Manu Sridharan;Julian Dolby
Manu Sridharan;Satish Chandra;Julian Dolby;Stephen J. Fink
Wei Huang;Yao Dong;Ana Milanova;Julian Dolby
Boris Petrov;Martin Vechev;Manu Sridharan;Julian Dolby
Julian Dolby;Andrew Chien
Christian Hammer;Julian Dolby;Mandana Vaziri;Frank Tip
Chintan Patel;James Cimino;Julian Dolby;Achille Fokoue
Shay Artzi;Julian Dolby;Frank Tip;Marco Pistoia
Julian Dolby;Achille Fokoue;Aditya Kalyanpur;Aaron Kershenbaum
Emina Torlak;Mandana Vaziri;Julian Dolby
If you think any of the details on this page are incorrect, let us know.
Exploring computer science often leads students into specialized fields and alternative online learning options. For example, the data science learning path is popular among those seeking strong job prospects and practical skills in analysis and machine learning.
Engineering is another high-demand field, and the best online electrical engineering programs USA make it possible to gain a respected degree without ever setting foot on campus. These programs often share foundational coursework and technical competencies with computer science.
If you’re looking to quickly boost your career, consider easy certifications to get that are recognized by employers and lead to well-paying jobs. Certifications in tech, networking, or cloud computing can add marketable skills to your resume in just weeks or months.
For those ready to advance their education fast, the fastest masters degree online options allow you to gain a graduate qualification in as little as a year, accelerating your progression into advanced roles within the tech industry.
University of Siegen
Hebrew University of Jerusalem
Florida State University
Harvard University
Agricultural Research Service
University of Minnesota
Stanford University
Lunenfeld-Tanenbaum Research Institute
University of Illinois at Chicago
Kyushu Institute of Technology
University of Edinburgh
Lappeenranta University of Technology
McMaster University
United States Geological Survey
Iowa State University
Nanjing University of Information Science and Technology