Machine learning enables design automation of microfluidic flow-focusing droplet generation A Lashkaripour, C Rodriguez, N Mehdipour, R Mardian, D McIntyre, ... Nature communications 12 (1), 1-14, 2021 | 125 | 2021 |
Performance tuning of microfluidic flow-focusing droplet generators A Lashkaripour, C Rodriguez, L Ortiz, D Densmore Lab on a Chip 19 (6), 1041-1053, 2019 | 93 | 2019 |
Desktop micromilled microfluidics A Lashkaripour, R Silva, D Densmore Microfluidics and Nanofluidics 22 (3), 1-13, 2018 | 66 | 2018 |
Machine learning for microfluidic design and control D McIntyre, A Lashkaripour, P Fordyce, D Densmore Lab on a Chip, 2022 | 50 | 2022 |
Multi-criteria optimization of curved and baffle-embedded micromixers for bio-applications M Rasouli, AA Mehrizi, M Goharimanesh, A Lashkaripour, SR Bazaz Chemical Engineering and Processing-Process Intensification 132, 175-186, 2018 | 40 | 2018 |
Numerical study on low Reynolds mixing oft-shaped micro-mixers with obstacles MR Rasouli, A Abouei Mehrizi, A Lashkaripour Transp Phenom Nano Micro Scales 3 (2), 68-76, 2015 | 36 | 2015 |
Diabetic control using genetic fuzzy-PI controller M Goharimanesh, A Lashkaripour, S Shariatnia, A Akbari International Journal of Fuzzy Systems 16 (2), 133-139, 2014 | 36 | 2014 |
Fractional order PID controller for diabetes patients M Goharimanesh, A Lashkaripour, A Abouei Mehrizi Journal of Computational Applied Mechanics 46 (1), 69-76, 2015 | 33 | 2015 |
An adaptive neural-fuzzy approach for microfluidic droplet size prediction A Lashkaripour, M Goharimanesh, AA Mehrizi, D Densmore Microelectronics Journal 78, 73-80, 2018 | 21 | 2018 |
Size-controlled droplet generation in a microfluidic device for rare dna amplification by optimizing its effective parameters ALI Lashkaripour, AA Mehrizi, M Goharimanesh, M Rasouli, SR Bazaz Journal of Mechanics in Medicine and Biology 18 (01), 1850002, 2018 | 21 | 2018 |
Numerical study of droplet generation process in a microfluidic flow focusing A Lashkaripour, A Abouei Mehrizi, M Rasouli, M Goharimanesh Journal of Computational Applied Mechanics 46 (2), 167-175, 2015 | 19 | 2015 |
Rapid and inexpensive microfluidic electrode integration with conductive ink D McIntyre, A Lashkaripour, D Densmore Lab on a Chip 20 (20), 3690-3695, 2020 | 15 | 2020 |
A Comparison of Fuzzy Types 1 and 2 in Diabetics Control, Based on Augmented Minimal Model M Goharimanesh, A Lashkaripour, A Akbari Diabetes 1, 2, 2015 | 11 | 2015 |
Optimization of biodiesel production using multi-objective genetic algorithm M Goharimanesh, A Lashkaripour, A Akbari Journal of Applied Science and Engineering 19 (2), 117-124, 2016 | 6 | 2016 |
Function-driven, graphical design tool for microfluidic chips: 3duf J Lippai, R Sanka, A Lashkaripour, D Densmore International Workshop on Bio-Design Automation (IWBDA), 2017 | 4 | 2017 |
Design automation based on fluid dynamics A Lashkaripour, R Sanka, J Lippai, D Densmore The Proceedings of the 9th International Workshop on Bio-Design Automation, 2017 | 4 | 2017 |
Modular microfluidic design automation using machine learning A Lashkaripour, C Rodriguez, N Mehdipour, D McIntyre, D Densmore 11th International Workshop on Bio-Design Automation (IWBDA-19), Cambridge …, 2019 | 2 | 2019 |
A reverse predictive model towards design automation of microfluidic droplet generators A Lashkaripour, C Rodriguez, D Douglas 10th International Workshop on Bio-Design Automation (IWBDA-18), 2018 | 2 | 2018 |
Tire inflation pressure estimation using identification techniques M Goharimanesh, A Riahi, A Lashkaripour, AA Akbari International Journal of Information, Security and Systems Management 5 (1 …, 2016 | 2 | 2016 |
Versatility and stability optimization of flow-focusing droplet generators via quality metric-driven design automation D McIntyre, A Lashkaripour, D Arguijo, P Fordyce, D Densmore Lab on a Chip 23 (23), 4997-5008, 2023 | 1 | 2023 |