Seshasai Srinivasan

According to our database, Seshasai Srinivasan authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Using machine learning techniques for the classification of ultra-low concentrations of cannabis in biological fluids.

Hoda Mozaffari, Greter Ortega, Herlys Viltres, Syed Rahin Ahmed, Amin Reza Rajabzadeh, Seshasai Srinivasan

Neural Comput. Appl., November, 2024

The Assessment of a Gradeless Residency Model for Software Engineering Education.

Adan Amer, Gaganpreet Sidhu, Seshasai Srinivasan

Int. J. Eng. Pedagog., 2024

2022

Software Suite for Self-Paced Learning.

Meng Zhang, Zi Xu Gu, Adan Amer, Gaganpreet Sidhu, Seshasai Srinivasan

Int. J. Emerg. Technol. Learn., October, 2022

Using neurocomputing techniques to determine microstructural properties in a Li-ion battery.

Simran Sandhu, Ramavtar Tyagi, Elahe Talaie, Seshasai Srinivasan

Neural Comput. Appl., 2022

Adopting the Pedagogy of Trust and its Impact on Learning.

Gaganpreet Sidhu, Seshasai Srinivasan

Int. J. Eng. Pedagog., 2022

2021

Challenge-based and Competency-based Assessments in an Undergraduate Programming Course.

Gaganpreet Sidhu, Seshasai Srinivasan, Nasim Muhammad

Int. J. Emerg. Technol. Learn., 2021

Online Education During a Pandemic - Adaptation and Impact on Student Learning.

Nasim Muhammad, Seshasai Srinivasan

Int. J. Eng. Pedagog., 2021

Multidisciplinary Problem-Based Learning (MPBL) Approach in Undergraduate Programs.

Amin Reza Rajabzadeh, Moein Mehrtash, Seshasai Srinivasan

Proceedings of the New Realities, Mobile Systems and Applications, 2021

An Online Approach to Project-Based Learning in Engineering and Technology for Post-secondary Students.

Fei Geng, Seshasai Srinivasan, Zhen Gao, Steven Bogoslowski, Amin Reza Rajabzadeh

Proceedings of the New Realities, Mobile Systems and Applications, 2021

Introduction of Online Labs to Enhance the Quality of the Real-Time Systems Course.

Marjan Alavi, Seshasai Srinivasan

Proceedings of the New Realities, Mobile Systems and Applications, 2021

Lessons Learnt in an Online Teaching Environment, and Cues for the Future.

Gaganpreet Sidhu, Seshasai Srinivasan, Dan Centea

Proceedings of the Mobility for Smart Cities and Regional Development - Challenges for Higher Education, 2021

Design of a Vehicle for Modern Mobilities in Metropolitan Areas.

Dan Centea, Seshasai Srinivasan

Proceedings of the Mobility for Smart Cities and Regional Development - Challenges for Higher Education, 2021

2019

A Project-Centric Learning Strategy in Biotechnology.

Seshasai Srinivasan, Amin Reza Rajabzadeh, Dan Centea

Proceedings of the Impact of the 4th Industrial Revolution on Engineering Education - Proceedings of the 22nd International Conference on Interactive Collaborative Learning (ICL 2019), 2019

A Problem Solving Based Approach to Learn Engineering Mathematics.

Nasim Muhammad, Seshasai Srinivasan

Proceedings of the Impact of the 4th Industrial Revolution on Engineering Education - Proceedings of the 22nd International Conference on Interactive Collaborative Learning (ICL 2019), 2019

A Collaborative Approach in Designing Curriculum for Industry 4.0 Software Integration Implementation.

Dan Centea, Seshasai Srinivasan, Ishwar Singh, Tom Wanyama

Proceedings of the Impact of the 4th Industrial Revolution on Engineering Education - Proceedings of the 22nd International Conference on Interactive Collaborative Learning (ICL 2019), 2019

2018

An Active Learning Strategy for Programming Courses.

Seshasai Srinivasan, Dan Centea

Proceedings of the Mobile Technologies and Applications for the Internet of Things, 2018

Assessment in Problem-Based Learning Using Mobile Technologies.

Dan Centea, Seshasai Srinivasan

Proceedings of the Mobile Technologies and Applications for the Internet of Things, 2018

2014

Predicting thermodiffusion in an arbitrary binary liquid hydrocarbon mixtures using artificial neural networks.

Seshasai Srinivasan, M. Ziad Saghir

Neural Comput. Appl., 2014

A neurocomputing model to calculate the thermo-solutal diffusion in liquid hydrocarbon mixtures.

Seshasai Srinivasan, M. Ziad Saghir

Neural Comput. Appl., 2014

Computational evaluation of micro-scale and macro-scale error sources in a thermodiffusive cell.

Seshasai Srinivasan, M. Ziad Saghir

J. Comput. Sci., 2014