Debzani Deb

Position: Associate Professor/Founding Director, Center for Applied Data Science (CADS) Department: Department of Computer Science
Contact Info
Office: 3211, Elva J. Jones Computer Science Building Phone: 336-750-2496 Fax: 336-750-2499 Email: debd@wssu.edu
Biography
Debzani Deb (BS’96 SUST, Bangladesh; MS’01 University of Adelaide, Australia; PhD’08 Montana State University, Bozeman) is an Associate Professor of Computer Science at the Winston-Salem State University. She is also the founding director of Center for Applied Data Science (CADS) at WSSU. Previously she also worked as an assistant professor at Indiana University of Pennsylvania, PA and as a visiting faculty at University of North Carolina at Greensboro, NC. She authored and coauthored over 40 referred journal and proceeding articles and has been awarded over 2.6M of federal funding as PI and Co-PI. She has over 15 years of experience in Higher Education as faculty member in three different countries such as USA, Australia and Bangladesh.
Dr. Deb is a regular reviewer for journals including Journal of Parallel and Distributed Computing (JPDC), conferences including ACM Technical Symposium on Computer Science Education (SIGCSE), ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE), and IEEE Frontiers in Education (FIE), and workshops including EduPar and EduHPC. She served as the program chair of EduHPC workshops at SC18 and SC19
Dr. Deb leads the iBigCloud research team at WSSU. Additionally, She is significantly involved as Co-PI or senior personnel in the following projects
Educational Background
- PhD, Montana State University Bozeman, Montana, USA, 2008
- MCompSci, University of Adelaide, Adelaide, Australia, 2001
- MS, Shahjalal University of Science and Technology, Sylhet, Bangladesh
- BS, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Research and Project Interests
- Big Data Analytics
- Machine Learning
- Cloud Computing
- Parallel and Distributed Computing
- Computer Science Education
- UNC Research Opportunities Initiative (ROI) Award, PI, "Winston-Salem State University Center for Applied Data Science (CADS)", $1,498,625, 2020-2023. UNC System Awards Three ROI Grants for 2021-2023.
- NSF, Co-PI, "Collaborative Research: Excellence in Research: Computational Framework and Data Science for Identification", Award Number: 1900087, $299,962, 2019-2022.
- NSF, Co-PI, "Targeted Infusion Project: "Integrating Data Science into the Urban Studies and Sustainability Program", Award Number: 1912214, $249,825.00, 2019-2022.
- NSF, Senior Personnel, "Collaborative Research: Cybertraining: Conceptualization: Planning a Sustainable Ecosystem for incorporating parallel and distributed computing into undergraduate education", Award Number: 2002649, $423,921, 2019-2021.
- NSF, PI, "Improving Research and Education of Big Data and Cloud Computing at Winston-Salem State University", Award Number: 1600864, $307,802, 2016 – 2019.
- UNC Collaboration Grant, Senior Personnel, "Research Cyberinfrastructure, A collaboration within WSSU, UNCG, and UNCW", $3000, 2017-2018.
- WSSU, PI, RIP Award: "Utility-based Resource Provisioning of Big Data Applications on Cloud Environment", $9,690, 2016 – 2017.
- WSSU Office of Science Initiatives (OSI) Teaching Innovation Award, PI, "Using Peer Instruction to Improve Student Engagement", $2,500, 2016 – 2017.
- Google Community Tech Grant, Co-PI, "Increase awareness of computer science and technology among the under-resourced community of East Winston-Salem", $83,000, 2016 – 2017.
- TCPP/NSF, PI, "CDER Center Early Adopter Award for Curriculum Initiative on Parallel and Distributed Computing", $2500, 2015-2016.
- NSF, Co-PI, "Targeted Infusion Project: Use of Mobile Application to Improve Active Learning and Student Participation in the Computer Science Classroom", Award Number: 1332531, $235,091, 2013-2017.
- Indiana University of Pennsylvania(IUP) senate Fellowship Grant, PI, "Preliminary Investigation on Utilizing smart phones in Higher Education", $12,000, 2010-2011.
Curriculum Guidelines
Prasad, S. K., Estrada, T., Ghafoor, S., Gupta, A., Kant, K., Stunkel, C., Sussman, A., Vaidyanathan, R., Weems, C., Agrawal, K., Barnas, M., Brown, D. W., Bryant, R., Bunde, D. P., Busch, C., Deb, D., Freudenthal, E., Jaja, J., Parashar, M., Phillips, C., Robey, B., Rosenberg, A., Saule, E., Shen, C. 2020. NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing - Core Topics for Undergraduates, Version II-beta, Online: http://tcpp.cs.gsu.edu/curriculum/
Peer reviewed Journal and Series publications
- Taylor G., Deb, D., “Teaching AI Ethics in a Flipped Classroom”, Journal of Computing Sciences in
Colleges, Vol. 36, No. 5, January 2021, Pages: 67-76. - Fuad M., Deb, D., James E. and Gloster C., "Mobile Response System: A Novel Approach to Deliver Interactive and Hands-on Activity in the Classroom", Journal of Educational Technology Research and Development, Springer Publishers, Vol. 66, No. 2, 2018, Pages: 493- 514.
- Fuad, M., Deb, D. and Baek J., "Static Analysis, Code Transformation and Runtime Profiling for Self-healing", Journal of Computers (JCP), Vol. 8, No. 5, 2013, Pages 1127-1135.
- Deb, D., Fuad M., and Oudshoorn M. J, "Achieving self-managed deployment in a distributed environment", Journal of Computational Methods in Science and Engineering (JCMSE), Vol. 11, Issue 3, Supplement 1, 2011, Pages 115-125.
- Deb, D., Fuad M., and Oudshoorn M. J., "ADE: Utility Driven Self-management in a Networked Environment", Journal of Computers (JCP), Academy Publishers, USA, Vol. 2, No. 9, 2007.
- Oudshoorn, M. J., Fuad M., and Deb, D., "Towards Autonomic Computing: Injecting Self-Organizing and Self-Healing Properties into Java Programs", New Trends in Software Methodologies, Tools and Techniques, Volume 147 of Frontiers in Artificial Intelligence and Applications, IOS Press, Amsterdam, The Netherlands, 2006, Pages 384- 406.
Peer reviewed Conference/Workshop publications
- Deb, D., Guirguis, M., “Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke
Authentication”, 19th IEEE International Conference on Machine Learning and Applications (ICMLA),
December 2020. - Deb, D., Smith, R., “Use of Machine Learning in Exploring Spatial (In)Justices”, 19th IEEE International
Conference on Machine Learning and Applications (ICMLA), December 2020. - Monroe, W., et al., "Lightning Talks of EduHPC 2019", IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC), November 2019, Pages 25-31.
- Aggarwal, D. et al., "EduPar Posters," IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2019, Pages 347-349.
- Deb, D., Fuad, M., Irwin, K., "A Module-based Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level", 50th ACM SIGCSE Conference, March 2019, Pages 2-8.
- Deb, D., Cousins, S., Fuad, M. "Teaching Big Data and Cloud Computing: A Modular Approach", 32nd IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2018, Pages 377-383.
- Deb, D., Fuad, M., James, E. and Gloster, C., "MRS: Automated Assessment of Interactive Classroom Exercises", 49th ACM SIGCSE Conference, February 2018, Pages 290-295.
- Prasad, S., Weems, C., Dougherty, J., Deb, D., "NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing –Status Report", Special Session at 49th ACM SIGCSE conference, February 2018, Pages 134-135.
- Fuad, M. and Deb D., "Cloud-enabled hybrid architecture for in-class interactive learning using mobile device", 5th IEEE International Conference on Mobile Cloud Computing, Services and Engineering (MobileCloud), April 2017, Pages 149-152.
- Deb, D., Fuad, M. and Kannan, M., "Creating Engaging Exercises with Mobile Response System (MRS)", 48th ACM SIGCSE Conference, March 2017, Pages 147-152.
- Fuad, M., Deb, D., James, E. and Gloster, C., "Using Interactive Exercise in Mobile Devices to Support Evidence-based Teaching and Learning", 21st ACM Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), July 2016, Page 17-22.
- Deb, D., Fuad, M. and Farag, W. "Developing Interactive Classroom Exercises for use with Mobile Devices to Enhance Class Engagement and Problem-solving Skills", IEEE Frontiers of Education Conference (FIE) Proceedings, October 2014, Pages: 343-346.
- Fuad, M., Deb, D. and Etim, J., "An Evidence Based Learning and Teaching Strategy for Computer Science Classrooms and its Extension into a Mobile Classroom Response System", Proceedings of the 14th IEEE International Conference on Advanced Learning Technologies (ICALT), July 2014, Pages: 149-153.
- Fuad, M. and Deb, D., "Design and Development of a Mobile Classroom Response System for Interactive Problem Solving", Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering (SEKE), July 2014, Pages: 49-52.
- Farag, W., Ali, S. and Deb, D., "Does Language Choice Influence the Effectiveness of Online Introductory Programming Courses?", Proceedings of the 14th annual ACM SIGITE conference on Information technology education (SIGITE 13), October 2013, Pages 165-170.
- Deb, D., Gonzales, L., and Geda, M., "Software Engineering Projects with Social Significance: An Experience Report at a Minority University", Proceedings of the 26th IEEE International Conference on Software Engineering Education and Training (CSEE&T), May 2013.
- Deb, D., "Achieving Self-Optimization via Utility Functions", Proceedings of the 19th International Conference on Software Engineering and Data Engineering (SEDE 2010), June 2010.
- Deb, D., Oudshoorn, M. J. and Paxton, J., "Self-Managed Deployment in a Distributed Environment via Utility Functions", Proceedings of the 20th International Conference on Software Engineering and Knowledge Engineering (SEKE 08), July 2008, Pages 808-813.
- Deb, D. and Oudshoorn, M. J., "On Utility Driven Deployment in a Distributed Environment", Proceedings of the Fourth IEEE Workshop on Engineering of Autonomic Systems (EASe 2007), March 2007, Pages 14-23.
- Deb, D. and Angryk, R., "Distributed Document Clustering Using Word-clusters", Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2007, Pages 376-383.
- Fuad M., Deb, D. and Oudshoorn, M. J., "Adding Self-Healing Capabilities into Legacy Object Oriented Applications", International Conference on Autonomic and Autonomous Systems, July 2006, Pages 51-56.
- Deb, D., Fuad, M., and Oudshoorn, M. J., "Towards Autonomic Distribution of Existing Object Oriented Programs", International Conference on Autonomic and Autonomous Systems, July 2006, Pages 17-23.
Peer reviewed Poster Abstract
- Deb, D., Jones, E., "University-wide Adoption of Data Science", 51th ACM SIGCSE Conference, February 2020.
- Deb, D., Smith, R. M., and Fuad, M. "Infusing Data Science Across Disciplines", In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE), July 2019.
- Deb, D., Fuad, M., Irwin, K., "An Alternative Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level", Poster abstract at International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing’18), November 2018.
- Deb, D. "Impact of Peer Instruction and Instructional Scaffolding on a Programming Course" 18th Annual Conference on Information Technology Education (SIGITE ’17), October 2017.
- Deb, D., "On the Integration of Big Data and Cloud Computing Topics", 48th ACM SIGCSE, March 2017.
- Fuad, M. and Deb, D., "Evidence-based Teaching with the Help of Mobile Response System (MRS), 21st ACM Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), July 2016, Page 242-243.
- Deb, D. and Fuad, M., "Use of Mobile Application to Improve Active Learning and Student Participation in the Computer Science Classroom", Proceedings of the ACM SIGCSE Conference, March 2014.
2011-now: Multiple Winston-Salem State University Travel Grants, more than $20000.00.
2015-2019: Multiple NSF/IEEE-TCPP Travel Awards, more than $10000.00
2016: NSF travel award to attend NSF Advanced cloud facilities workshop, $1500.00
2015: QEM network travel grant, $1500.00.
2010: NSF ADVANCE travel award, $1000.00
2009: Awarded “Certificate of Merit” presented by the Trustees and President of IUP in recognition of faculty productivity in published scholarship during 2009.
2005: Honorary citizenship by the City of Bozeman, Montana, USA.
2004-2005: Benjamin Ph.D. fellowship, College of Eng., Montana State University, $18,000.00.
2000-2001: Australian Government’s Full Scholarship to study Ms. C. at Adelaide University.
1996: “Woman of the Year”, Shahjalal University of Science and Technology, Bangladesh, 1996. This is a title given to the best female student of SUST based on academic and extracurricular achievements.
1993-1996: Shahjalal University Merit Scholarship.
1990-92: Bangladesh Government Merit Scholarship.
- Fall 2020 – CST 5345 Data Visualization(G), CST 5320 Design and Analysis of Algorithms (G)
- Spring 2020 – CST 6302 Programming Languages (G), CSC 3331 Analysis of Algorithms (UG)
- Fall 2019 – CST 5320 Design and Analysis of Algorithms (G), CSC 4350 Software Engineering (UG), CSC 4322 Parallel Computing (G/UG)
- Spring 2019 – CSC 4310 Big Data and Cloud Computing(G/UG), CSC 3331 Analysis of Algorithms (UG)
- Fall 2018 – CST 5320 Design and Analysis of Algorithms (G), CSC 4350 Software Engineering (UG), CSC 4322 Parallel Computing (G/UG), Team taught a module on data science in GEO 2321 Environmental Justice & Sustainability (UG).
- Spring 2018 – CSC 4310 Big Data and Cloud Computing(G/UG), CSC 3331 Analysis of Algorithms (UG), Team taught modules on big data and cloud computing in CSC 3322 Computer Architecture (UG) and CSC 3355 Database Management Systems (UG).
- Fall 2017 - CSC 4350 Software Engineering (UG), CSC 4322 Parallel Computing (G/UG)
- Spring 2017 - CSC 3331 Analysis of Algorithms (UG)
- Fall 2016 - CSC 4350 Software Engineering (UG)
- Spring 2016 - CSC 3331 Analysis of Algorithms (UG)
- Fall 2015 - CSC 4350 Software Engineering (UG), CSC 4322 Parallel Computing (G/UG)
- Spring 2015 - CSC 3331 Analysis of Algorithms (UG)
- Association of Computing Machinery (ACM)
- ACM Special Interest Group on Computer Science Education (SIGCSE)
- ACM Special Interest Group for Information Technology Education (SIGITE)
- ACM Special Interest Group on High Performance Computing (SIGHPC)
- NSF/IEEE-TCPP Parallel and Distributed Curriculum Guideline Revision Committee.
- IEEE Technical Committee on Parallel Processing (TCPP) Diversity Committee.
- IEEE Computer Society T&C Adhoc Committee on Ethics, Diversity and Inclusion (EDI)