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Personal profile

University profile

Dr. Stefan Robila is Professor of Computer Science and the Director of the Computational Sensing Laboratory at Montclair State University.

Between Jan 2018 and Jan 2021 Dr. Robila served as Program Director in the Office of Advanced Cyberinfrastructure (OAC) at the National Science Foundation. At NSF he developed and managed a portfolio of awards that enable cyberinfrastructure research, development and acquisition as part of regular programs such as OAC Core Research, Cyberinfrastructure for Sustained Scientific Innovation (CSSI), and Major Research Instrumentation (MRI) or in response to immediate needs such as the COVID-19 pandemic through the RAPID mechanism.

Dr. Robila completed his M.S. (2000) and Ph.D. (2002) in Computer Science at Syracuse University and his B.S. (1997) at the University of Iasi (Romania). He joined MSU in 2003 following a one-year appointment as an Assistant Professor of Computer Science at the University of New Orleans. He was a visiting scholar at Cambridge University, University of Oxford (UK), University of Geneva (Switzerland) and Uppsala University (Sweden). He is an ACM and IEEE senior member and IEEE Region I award recipient.

Dr. Robila has extensive organizer experience managing as PI NSF Research Experience for Undergraduates and Major Research Instrumentation grants, SPIE Educational grants, and a HP Technology for Teaching grant. The 2006 HP grant brought to MSU tablet computers for use in computer courses, and allowed Robila and other faculty the opportunity to investigate tablet technology at an early stage. In addition to NSF, SPIE and HP, Robila’s work has received support from PSEG, Sun Microsystems, New Jersey Council for Humanities and MSU. Robila is actively involved in the dissemination of knowledge related to undergraduate research. Involving CS faculty from eight different universities, he organized panel discussions on undergraduate research presented at computing conferences, in addition to presenting on multidisciplinary research. Dr. Robila external funding surpasses $2.5M.

Research interests

His main research interests are in computational sensing. Dr. Robila has worked extensively with collection and analysis of hyperspectral data, and the development and implementation of computationally efficient feature extraction algorithms that use high performance computing. This work has now expanded into more general research and applications for large data sets. More recently, he has also started working on greening the computing infrastructure as well as cybersecurity. 

Scholarly Interests

Remote Sensing
Hyperspectral Sensors and Data
Computer Security
Distributed Processing of Remote Sensed Data
Information Hiding in Images
Information Assurance
Energy Efficiency in Data Centers
Computational Sensing
Computer Science Education


Dr. Robila's teaching experience spans the Computer Science and IT undergraduate and graduate curriculum and includes all introductory computing courses (taught in Pascal, C, C++, Java and Python), discrete mathematics, operating systems, computer organization, computer security, robotics, pattern recognition, high performance computing, and theory of programming languages.

Faculty/Media Expert

Expert on computer security, high performance computing, scientific cyberinfrastructure, remote sensing, and energy efficiency in data centers.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land


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