About Us
The Institute of Design & Innovation (IDI) was created by the Office of Academic Affairs in response to the direction of the president and the board of regents. IDI shows that we can respond quickly to the new realities of higher education, and has allowed us to nimbly and effectively reallocate and target our intellectual resources towards solving problems faced by UNM and other universities. IDI provides end-to-end solutions from research to problem-solving development to application implementation.
MISSION
We create software tools derived from cutting edge research in higher education to help students, administrators, faculty, and staff. We focus on finding and correcting bottlenecks in the university education methodology. Our applications are showcased through beautiful designs with the primary aim to aid administrators in data-driven decision making and facilitate curriculum navigation for students.
VISION
We aim to be at the forefront of state-of-the-art data and analytic techniques in an effort to better understand issues that impact student academic success, with the intent of informing improvement efforts for all of higher education.
Experience For a variety of Educational Needs
Administrative Tools
Tools that allow higher education institutions to publish and maintain degree plans, track student progress, support transfer articulation, provide useful analytics, and explore student movement and trends all in an effort to maximize institutions’ student success.
Student Success
Utilizing administrative and data analytics tools that allow institutions to drill-down to identify obstacles to assist in informed initiatives to maximize student success.
Data Analytics
Using institutional data we create tools to better understand and direct deeper analyses of the impediments to student success and increase curriculum efficiency.
Data Collection & Storage
We utilize state-of-the-art technologies and resources in order to implement cloud-based computing and complex systems providing the needed suite of tools and services for data warehouse implementation.
External Initiatives
Beyond the President and Provost Offices at the University of New Mexico, our team is dedicated to finding comprehensive solutions to complex problems.
Projects
Click on the below images to find out more about each of our current projects.
To learn more about our research endeavors or past projects please reach out using the contact form at the bottom of the page.
Advising Application
Provides students with a central location to find advisement on campus who can help them succeed.
Cohort Analytics
Create and track cohorts of students easily defined using a large number of academic, demographic, and financial features.
Curricular Complexity and Analytics
Allows institutions to input curricula and analyze complexity based on blocking factor and delay factor.
Curriculum Editor
Interface allowing institutions to login and edit their curricular content such as courses, degree requirements, and degree plans.
Degree Plans
Public portal for current and prospective students to explore degree programs and requirements
RETENTION/PROMOTION/TENURE (RPT)
A frictionless framework application for faculty reviews allowing collaboration without compromising the privacy or integrity of documents.
Student Flow and Analytics
A high level dashboard that allows administrators to explore student movement and trends through their institution.
WORKFORCE DASHBOARD
Provides NM employment data for every credential or degree recipient over the past 10 years allowing users to investigate issues such earnings.
Publications
We regularly publish in a variety of leading journals and conference proceedings
2022
D. R. Hush, E. S. Lopez, W. Al-Doroubi, T. Ojha, B. Santos, and K. Warne. "Analyzing student credits." 2022.
2019
A. Slim, D. Hush, T. Ojha , C.T. Abdallah, G.L. Heileman and Georges El-Howayek, "An Automated Framework to Recommend A Suitable Academic Program, Course and Instructor", IEEE International Conference on Big Data Service and Applications 2019, San Francisco, California, USA, April 4-9, 2019.
2017
L. Valbuena, G. Heileman, S. Hemmady and E. Schamiloglu, "
A testbed for simulating electromagnetic effects on software execution," 2017 IEEE International Conference on Circuits and Systems (ICCS),
Thiruvananthapuram, 2017, pp. 26-31.
Ahmad Slim, Gregory L. Heileman, Michael Hickman and Chaouki T. Abdallah "
A Geometric Distributed Probabilistic model to Predict Graduation Rates ." IEEE International Conference.
T. Ojha, G. L. Heileman, M. Martinez-Ramon, and A. Slim, “
Prediction of graduation delay based on student performance,” in Proceedings of the International Joint Conference on Neural Networks. Anchorage, Alaska, USA: IEEE, 2017.
2015
Slim, A., Heileman, G. L., Lopez, E., Al Yusuf, H., & Abdallah, C. T. (2015, July).
Crucial based curriculum balancing: A new model for curriculum balancing. In Computer Science & Education (ICCSE), 2015 10th International Conference on
(pp. 243-248). IEEE, 2015.
Mustafa Al-Mashhadani; Wei Shu; Min-You Wu,
Enhancing Traffic Flow Using Vehicle Dashboard Traffic Lights with V2I Networks. 2015 IEEE Global Communications Conference (GLOBECOM) on (pp. 1-5). IEEE, 2015.
Mustafa Al-Mashhadani; Wei Shu; Min-You Wu,
Enhancing Traffic Flow Using Vehicle Dashboard Traffic Lights. Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd (pp. 1-5). IEEE, 2015.
Najem N.Sirhan, Gregory L.Heileman, Christopher C. Lamb. Traffic Offloading Impact on the Performance of Channel-Aware/Qos-Aware
Scheduling Algorithms for Video-Applications Over Lte-A Hetnets Using Carrier Aggregation. International Journal of Computer
Networks & Communications (IJCNC) Vol.7, No.3, May 2015.
N. N. Sirhan, G. L. Heileman, C. C. Lamb, and R. Piro-Rael, “
QoS-Based Performance Evaluation of Channel-Aware/QoS-Aware Scheduling Algorithms for Video-Applications over LTE/LTE-A,” Computer Science & Information Technology (CS & IT), Vol. 5,
no. 7, pp. 49-65, AIRCC, 2015.
2013
Christopher C. Lamb, Pramod A. Jamkhedkar, and Gregory L. Heileman. Digital Rights Management: Technology, Standards and Applications. Auerbach Publications, 2013.
2012
Christopher C. Lamb and Gregory L. Heileman. Content-centric information protection in cloud computing.
International Journal of Cloud Computing and Services Science, 2(1):246–257, 2012.
Viswanath Nandina, Edward J. Nava, José Marcio Luna, Christopher C. Lamb, Gregory L. Heileman, Chaouki T. Abdallah.
Dynamic, Secure Resource Control in the Cloud. ACM CCS/CCSW 2012.
C. C. Lamb, G. L. Heileman. Overlay Architectures enabling Cloud Computing for Multi-Level Security Environments. IEEE 2012
Services Conference, Security and Privacy Engineering Workshop. June 24, 2012. Honolulu HI. USA.
C. C. Lamb, P. A. Jamkhedkar, G. L. Heileman, R. K. Kadaboina. Usage Management of Personal Medical Records. (Technical Report).
2011
C. C. Lamb, P. A. Jamkhedkar, M. P. Bohnsack, V. Nandina, G. L. Heileman.
A Domain Specific Language for Usage Management. ACM DRM 2011. October 21, 2011. Chicago Il. USA.
C. C. Lamb, P. A. Jamkhedkar, G. L. Heileman and C. T. Abdallah.
Managed Control of Composite Cloud Systems. 6th IEEE International Conference on System of Systems Engineering (SoSE), June 27–30, Albuquerque, NM.
P. A. Jamkhedkar, C. C. Lamb and G. L. Heileman. Usage Management in Cloud Computing, Cloud 2011: IEEE International Conference on
Cloud Computing, Washington, DC, Jul 5–10, 2011.
Abou-Rjeily, C., & Slim, A. (2011). Cooperative diversity for free-space
optical communications: transceiver design and performance analysis. Communications, IEEE Transactions on, 59(3), 658-663.
2021
A. Slim, D. Hush, T. Ojha, Georges El-Howayek, C.T. Abdallah and T. Babbitt,
"Maximizing University Enrollment Using Institutional-Based Aid Scholarship", in IEEE International Conference on Machine Learning Applications (ICMLA).
Virtual, Dec 13-16, 2021.
D. Hush, T. Ojha, and W. Al-Doroubi, "The Time-to-Graduation Problem (Survival Analysis for
Education Outcomes)" (2021).
2018
A. Slim, T. Ojha, D. Hush, C. Abdallah and M. Mashhadani, “An Automated Framework to Recommend A Suitable Academic Program,
Course and Instructor,” in Proceedings of the 12th ACM Conference on Recommender Systems. Vancouver, Canada: ACM 2018.
A. Slim, D. Hush, T. Ojha and T. Babbitt, “Predicting Student Enrollment Based on Student
and College Characteristics,” in Proceedings of the Educational Data Mining. Buffalo NY, USA: 2018
2016
Hamlet, Jason R., and Christopher C. Lamb. "
Dependency Graph Analysis and Moving Target Defense Selection." In Proceedings of the 2016 ACM Workshop on Moving Target Defense, ACM, 2016.
Slim, A., Heileman, G. L., Al-Doroubi, W., Abdallah, C. T. “
The Impact of Course Enrollment Sequences on Student Success.” Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications.
Crans-Montana, Switzerland: IEEE, 2016.
Sirhan, Najem N., Manel Martínez-Ramón, Gregory L. Heileman, Nasir Ghani, and Christopher C. Lamb.
"QoS Performance
Evaluation of Disjoint Queue Scheduler for Video-Applications over LTE-A HetNets." In Proceedings of the 7th
International Conference on Computing Communication and Networking Technologies, p. 4. ACM, 2016.
2014
Slim, A., Kozlick, J., Heileman, G. L., Wigdahl, J., & Abdallah, C. T. (2014, April).
Network analysis of university courses . In Proceedings of the companion publication of the 23rd international conference on World wide web companion (pp. 713-718).
International World Wide Web Conferences Steering Committee.
Christopher C. Lamb and Gregory L. Heileman. Service Level Agreement Complexity: Processing Concerns for Standalone and
Aggregate SLAs (Technical Report).
Slim, A., Kozlick, J., Heileman, G. L., & Abdallah, C. T. (2014, July).
The Complexity of University Curricula According to Course Cruciality. In Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International
Conference on (pp. 242-248). IEEE.
Viswanath Nandina, José Marcio Luna, Christopher C. Lamb, Gregory L. Heileman, and Chaouki T. Abdallah.
Provisioning Security and Performance Optimization for Dynamic Cloud Environments. IEEE International Conference on Cloud Computing, 2014.
Slim, A., Heileman, G. L., Kozlick, J., & Abdallah, C. T. (2014, December).
Predicting student success based on prior performance. In Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on (pp. 410-415). IEEE.
Christopher C. Lamb and Gregory L. Heileman. Towards Robust Trust in Software Defined Networks. 6th IEEE International
Workshop on Management of Emerging Networks and Services, 2014.
Slim, A., Heileman, G. L., Kozlick, J., & Abdallah, C. T. (2014, December).
Employing Markov Networks on Curriculum Graphs to Predict Student Performance. In Machine Learning and Applications (ICMLA), 2014 13th International Conference
on (pp. 415-418). IEEE.
Wigdahl, J., Heileman, G. L., Slim, A., & Abdallah, C. T. (2014). Curricular efficiency:
What role does it play in student success? In Proceedings of the the 121st ASEE Annual Conference and Exposition.
Bimson, K., Slim, A., & Heileman, G. L. (2014, June). Find-to-Forecast
Process: An Automated Methodology for Situation Assessment. In Semantic Computing (ICSC), 2014 IEEE International Conference on (pp. 311-315). IEEE.
2010
P. A. Jamkhedkar, G. L. Heileman and C. C. Lamb. An Interoperable Usage Management Framework. Proceedings of the Tenth ACM Workshop on Digital Rights Management, ACM Conference on Computers and Communications Security, Chicago, IL, Oct. 4, 2010.
