New Faculty SymposiumICSE 2023

Becoming a new faculty member at a university or college is challenging due to the number of roles a faculty member plays and the lack of preparation for these roles. Few new faculty are prepared for the diversity of types of work they will be asked to undertake. Moreover, their doctoral training most likely has not prepared them for much beyond how to conduct research themselves and, perhaps, how to teach topics that are close to their research area. The goals of the ICSE 2023 New Faculty Symposium (NFS) are to help new Software Engineering faculty members launch a successful career and manage the challenges while feeling joy in their life as a faculty member.

The ICSE 2023 NFS is a whole day event and will feature a diverse set of highly-successful speakers, at various stages in their careers, who will share their experiences and will serve as mentors to the new faculty participants through the symposium.

The program will provide ample time for the new faculty participants to interact with the speakers, asking for advice and developing new professional relationships. The lunch and breaks will be set up for the NFS participants only, such that the speakers and participants will spend as much time as possible together. We will have a session where we “turn the tables” and the participants will share their challenges and reach out to the mentors and peers for advice and solutions to their problems.

Sessions

Jürgen Cito

Jürgen Cito is an Assistant Professor in the Faculty of Informatics at TU Wien, Austria. He received his PhD from the University of Zurich, Switzerland and was a postdoctoral researcher at MIT CSAIL. He was also visiting scientist and software engineer at Meta in the Probability group. His current research interests are in continuous and incremental software performance modeling, explaining and debugging machine learning models, and program analysis for string-manipulating programs.

Sonia Haiduc

Sonia Haiduc is an Associate Professor in the Department of Computer Science at Florida State University, USA. Her research interests are in software maintenance and evolution, program comprehension, mining software repositories, and informal software documentation. She is a recipient of the IEEE TCSE Rising Star Award, the NSF Career Award, and two Most Influential Paper Awards among other research accolades. She has also received teaching and service awards and has served the software engineering community in many organizational and reviewing roles, including as Area Chair for ICSE 2022, PC chair for MSR 2019 and ICPC 2022, and General Chair for ICSME 2023. On the other hand, she has also had her fair share of rejections, failures, struggles, and doubts, which she is fairly open about and considers a normal part of academic life.

Michele Lanza

Michele Lanza is full professor at the Faculty of Informatics of USI, Lugano, which he co-founded in 2004. He is director of the Software Institute, which he founded, despite all odds, in 2017. For his doctoral dissertation, completed in 2003 at the University of Bern, Switzerland he received the European Ernst Denert award for best PhD thesis in software engineering. He received the Credit Suisse Award for best teaching in 2007 and 2009.

Prof. Lanza leads the REVEAL research group since 2004. REVEALers work in the areas of software visualization, evolution, and analytics. Prof. Lanza co-authored more than enough peer-reviewed articles and the book "Object-Oriented Metrics in Practice". Prof. Lanza has advised 13 awesome PhD students so far.

Kevin Moran

Kevin Moran is an Assistant Professor in the Department of Computer Science at George Mason University. He graduated with his B.A. in Physics and Computer Science from the College of the Holy Cross in 2013, his M.S. in Computer Science from the College of William & Mary in 2015, and his P.hD. in Computer Science from the College of William & Mary in 2018 advised by Dr. Denys Poshyvanyk. His main research interests include software engineering, maintenance, and evolution with a focus on mobile platforms. Additionally, he explores applications of data mining and machine learning to software engineering problems.

Gail Murphy

Gail C. Murphy is a Professor of Computer Science and Vice-President Research and Innovation at the University of British Columbia. She was also a co-founder of Tasktop Technologies Inc. Her research interests are in improving the productivity of software developers and knowledge workers by giving them tools to identify, manage and coordinate the information that really matters for their work. She is a Fellow of the ACM and a Fellow of the Royal Society of Canada. She is the recipient of the 2018 IEEE Computer Society Harlan D. Mills award and a previous recipient of an NSERC E.W.R. Steacie Award and the AITO Dahl-Nygaard Junior Prize.

Sarah Nadi

Sarah Nadi is an Associate Professor in the Department of Computing Science at the University of Alberta, and a Tier II Canada Research Chair in Software Reuse. She obtained her Master's (2010) and PhD (2014) degrees from the University of Waterloo in Canada. Before joining the University of Alberta in 2016, she spent approximately two years as a post-doctoral researcher at the Technische Universität Darmstadt in Germany.

Sarah's research provides automated support tools that help software developers accomplish their tasks more efficiently. Much of her research focused on supporting variability and reuse practices. Sarah's recent work focuses on supporting developers as they use software libraries, including the initial selection process, correctly using the library's API, and potential migration to newer alternative libraries. Sarah leads the Software Maintenance and Reuse (SMR) lab at the University of Alberta. For more information about the research conducted at SMR, please visit https://sarahnadi.org/smr/.

Xin Peng

Xin Peng received his bachelor’s and PhD degrees in computer science from Fudan University in 2001 and 2006, respectively. He is currently a professor with the School of Computer Science, Fudan University, China, where he leads the CodeWisdom team. He is an ACM member, IEEE senior member, CCF (China Computer Federation) distinguished member and the deputy director of CCF TCSE (Technical Committee on Software Engineering). His research interests include data-driven intelligent software development, cloud-native software and AIOps, and software engineering for AI and cyber-physical-social systems. His work was the recipient of the ICSM 2011 Best Paper Award, the ACM SIGSOFT Distinguished Paper Award at ASE 2018/2021 and ICPC 2022, the IEEE TCSE Distinguished Paper awards at ICSME 2018/2019/2020, and the IEEE Transactions on Software Engineering 2018 Best Paper Award.

David Rosenblum

David S. Rosenblum is Planning Research Corporation Professor and Chair of the Department of Computer Science at George Mason University.  He received his PhD degree from Stanford University and previously held positions at AT&T Bell Labs (Murray Hill); the University of California, Irvine; PreCache (a technology startup funded by Sony Music); University College London; and the National University of Singapore.  His research interests center around problems in software engineering, distributed systems, ubiquitous computing and machine learning, and he has received two test-of-time awards for his research papers (the 2002 ICSE MIP award for his paper at ICSE 1992 in Melbourne, and the inaugural 2008 ACM SIGSOFT Impact Paper award for his ESEC/FSE 1997 paper co-authored with Alexander L. Wolf).  He is a fellow of the ACM and IEEE, and he received the 2018 ACM SIGSOFT Distinguished Service Award.