Adaptive filters for transform domain edge detection. - Ramakrishnan Sundaram (Visual Information Processing, 1998)

Efficient implementations of edge localization algorithms. - Ramakrishnan Sundaram (Visualization and Data Analysis, 2002)

Efficient medical image segmentation for the visualization of lesions. - Niranjan Tallapally; Ramakrishnan Sundaram (Visual Information Processing, 2003)

Lesion identification from scintimammography breast images. - Niranjan Tallapally; Ramakrishnan Sundaram; Leonard R. Coover (Visualization and Data Analysis, 2003)

Assessing the viability of an open access policy in an outpatient clinic: a discrete-event and continuous simulation modeling approach. - Ronald E. Giachetti; Edwin A. Centeno; Martha A. Centeno; Ramakrishnan Sundaram (WSC, 2005)

Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform. - Hasan U. Ozer; Ramakrishnan Sundaram (IJCNN, 2007)

Neural computing for data recovery. - Ramakrishnan Sundaram (IJCNN, 2007)

Work in progress: Integration of topic modules and organization of session flow for the First-Year Seminar course in engineering to motivate and sustain student learning. - Ramakrishnan Sundaram (FIE, 2011)

Set up and delivery of electrical and computer engineering projects at undergraduate engineering universities for outreach and partnership with K-12 STEM schools. - Ramakrishnan Sundaram (FIE, 2011)

Work in progress - Design and delivery of the graduate course on electronic systems integration. - Qing Zheng; Ramakrishnan Sundaram; Fong Mak (FIE, 2011)

Work in progress: Redesigned First-Year Seminar course in engineering - Delivery, learning outcomes assessment, and lessons learned. - Ramakrishnan Sundaram (FIE, 2012)

Drafting Program Educational Objectives for undergraduate engineering degree programs. - Ramakrishnan Sundaram (FIE, 2013)

Curriculum integration for the ECE undergraduate core courses in electronics. - Qing Zheng; Pengtao Lin; Fong Mak; Ramakrishnan Sundaram; Lin Zhao (FIE, 2013)

Process to draft the program educational objectives for undergraduate engineering degree programs. - Ramakrishnan Sundaram (FIE, 2015)

Engage K-12 students in engineering: Model for engineering project activities to inspire K-12 students to pursue careers in engineering. - Ramakrishnan Sundaram (FIE, 2015)

TIES to STEM: University outreach model for teachers in K-12 STEM schools to be trained in engineering skills. - Ramakrishnan Sundaram (FIE, 2015)

Integrated Faculty Course Assessment Report (FCAR) model with traditional rubric-based (GR) model to enhance automation of Student Outcomes evaluation. - Fong Mak; Ramakrishnan Sundaram (FIE, 2016)

Engage and educate: Engineering laboratory activities for first-year engineering students. - Ramakrishnan Sundaram (FIE, 2016)

STEM project activities for pK-12 students: What it takes to make it happen. - Ramakrishnan Sundaram (FIE, 2017)

Partnerships to Create Synergistic STEM Communities. - Ramakrishnan Sundaram (FIE, 2018)

STEM Outreach with K-12 Schools: Delivery of Electrical Engineering Projects and Assessment of Learning Outcomes. - Ramakrishnan Sundaram (FIE, 2019)

An automated eye disease prediction system using bag of visual words and support vector machine. - Ramakrishnan Sundaram; K. S. Ravichandran 001 (J. Intell. Fuzzy Syst., 2019)

Automated Optic Papilla Segmentation Approach Using Normalized Otsu Thresholding. - Ramakrishnan Sundaram; Premaladha Jayaraman; R. Rangarajan; R. Rengasri; C. Rajeshwari; K. S. Ravichandran 001 (J. Medical Imaging Health Informatics, 2019)

Comparative Analysis of Machine Learning Algorithms for Categorizing Eye Diseases. - Premaladha Jayaraman; Raghunathan Krishankumar; K. S. Ravichandran 001; Ramakrishnan Sundaram; Samarjit Kar (ICIS, 2020)

A novel hybrid segmentation approach for optic papilla detection in high resolution fundus images of retina. - Ramakrishnan Sundaram; K. S. Ravichandran 001; Premaladha Jayaraman; Balasubramaniam Venkatraman (Multim. Tools Appl., 2020)

Fusion-based Spatiotemporal Convolutions with Constant Temporal Snapshots for Sign Language Recognition. - Yiming Han; Xiaocong Fan; Radhika Bhosale; Ramakrishnan Sundaram; Jonathan Liaw (FG, 2021)

Incorporation of the Internet of Things within the Introductory Course on Microcontrollers. - Steve Rowland; Ramakrishnan Sundaram (FIE, 2021)

Teaching Internet of Things during the Health Pandemic. - Ramakrishnan Sundaram (WF-IoT, 2022)

WIP: Integration of Hardware and Software Environments to Study Wireless Sensor Networks. - Ramakrishnan Sundaram (FIE, 2024)