Most authors will agree that the process of publishing research can be beautiful and enriching as well as frustrating and annoying, sometimes simultaneously. So - what's an author to do?
Fortunately, we can use our technical skills to navigate this landscape. We will formulate the Promising Author Problem into an optimization framework that maximizes the joy while minimizing the agony. We will attempt to identify the optimization variables and classify them into deterministic and random components, and also into controllable and uncontrollable sets. We then model the cost function and constraints (graduation/tenure constraints, ethical issues, etc.) in terms of these variables and attempt to determine a trajectory that could maximize the probability of acceptance of your next paper. We have no theorems, no proofs of NP-hardness, no guarantees on feasibility, and no significant experimental results... but we hope this talk throws up some insights that might help you as you write your next paper.
DAC is the premier conference devoted to the design and automation of electronic systems (EDA), embedded systems and software (ESS), and intellectual property (IP).
DAC 2017 will be held in Austin, Texas, at the Austin Convention Center. Get details about travel, hotels, and area attractions in one convenient spot.