| Regression analysis for prediction of residential energy consumption N Fumo, MAR Biswas Renewable and sustainable energy reviews 47, 332-343, 2015 | 710 | 2015 |
| Prediction of residential building energy consumption: A neural network approach MAR Biswas, MD Robinson, N Fumo Energy 117, 84-92, 2016 | 323 | 2016 |
| Systematic approach for modeling methanol mass transport on the anode side of direct methanol fuel cells MAR Biswas, SP Mudiraj, WE Lear, OD Crisalle International journal of hydrogen energy 39 (15), 8009-8025, 2014 | 27 | 2014 |
| Comprehensive mass transport modeling technique for the cathode side of an open-cathode direct methanol fuel cell SP Mudiraj, MAR Biswas, WE Lear, OD Crisalle International Journal of Hydrogen Energy 40 (25), 8137-8159, 2015 | 22 | 2015 |
| Impact of pulsed power loads on advanced aircraft electric power systems with hybrid APU H Ebrahimi, H El-Kishky, M Biswas, M Robinson Power Modulator and High Voltage Conference (IPMHVC), 2016 IEEE …, 2016 | 21 | 2016 |
| Prediction of Direct Methanol Fuel Cell Stack Performance Using Artificial Neural Network R Biswas, MD Robinson Journal of Electrochemical Energy Conversion and Storage 14 (3), 031008, 2017 | 17* | 2017 |
| A study into proton exchange membrane fuel cell power and voltage prediction using artificial neural network T Wilberforce, M Biswas Energy Reports 8, 12843-12852, 2022 | 16 | 2022 |
| Dynamic thermal model development of direct methanol fuel cell M Biswas, T Wilberforce International Journal of Thermofluids 17, 100294, 2023 | 7 | 2023 |
| Engineering experiential learning during the COVID-19 pandemic N Barakat, A Al-Shalash, M Biswas, SF Chou, T Khajah International Conference on Interactive Collaborative Learning, 991-1003, 2021 | 7 | 2021 |
| Performance estimation of direct methanol fuel cell using artificial neural network MAR Biswas, MD Robinson ASME International Mechanical Engineering Congress and Exposition 57441 …, 2015 | 7 | 2015 |
| Validation of neural network model for residential energy consumption J Henken, MAR Biswas Proceedings of the 2015 ASEE Gulf-Southwest annual conference. The …, 2015 | 7 | 2015 |
| Power and voltage modelling of a proton-exchange membrane fuel cell using artificial neural networks T Wilberforce, M Biswas, A Omran Energies 15 (15), 5587, 2022 | 5 | 2022 |
| Simulated Laboratory-Based Learning in A Thermal Fluid Laboratory Course MAR Biswas, B Stilwell, E Reyes ASEE Gulf Southwest Conference 2021, 2021 | 4 | 2021 |
| Operational control of fuel cells OD Crisalle, MAR Biswas, SP Mudiraj, WE Lear Jr US Patent 10,211,470, 2019 | 4 | 2019 |
| Model development and control design of fuel cell systems to power portable devices MAR Biswas University of Florida, 2013 | 4 | 2013 |
| Prediction of Transient Hydrogen Flow of Proton Exchange Membrane Electrolyzer Using Artificial Neural Network MAR Biswas, T Wilberforce, MA Biswas Hydrogen 4 (3), 542-555, 2023 | 2 | 2023 |
| Remote Laboratory-Based Learning in A Thermal Fluid Course M Biswas, O Al-Shalash, N Barakat 2022 ASEE Annual Conference & Exposition, 2022 | 1 | 2022 |
| Improve technical communication using scaffolding method in mechanical engineering courses MAR Biswas, A AlShalash 2021 Fall ASEE Middle Atlantic Section Meeting, 2021 | 1 | 2021 |
| Novel GSSA modeling and control of high power inverters for modern aircraft electric power systems H Ebrahimi, H El-Kishky, J Erdle, M Biswas, M Robinson Power Modulator and High Voltage Conference (IPMHVC), 2016 IEEE …, 2016 | 1 | 2016 |
| Board 442: Data-driven Approach to Problem Solving in Renewable Energy and Engineering Education MAR Biswas, A Khanal, P Sundaravadivel 2024 ASEE Annual Conference & Exposition, 2024 | | 2024 |
Melvin D. RobinsonHouston Christian UniversityVerified email at hc.edu
