Created: 09/10/2021 21:46Updated: 09/17/2021 16:14

Haji, Maha  

Bio: Prof. Maha Haji joined Cornell University in 2021 as an Assistant Professor of Mechanical and Systems Engineering. At Cornell, her lab develops designs for symbiotic offshore systems to sustainably extract resources from the ocean such as power, water, and food, as well as mineral resources key to the progress of clean energy. Previously, Prof. Haji was an MAE Faculty Fellow at Cornell and a Postdoctoral Associate in the Engineering Systems Laboratory in the Department of Aeronautics and Astronautics at MIT where her research focused on utilizing multidisciplinary design optimization to develop a floating platform, known as PEARL, to provide recharging and data offloading capacity for autonomous underwater vehicles. She received her Ph.D. in Mechanical and Oceanographic Engineering in 2017 from the Joint Program between MIT and Woods Hole Oceanographic Institution where she focused on the design and prototyping of a symbiotic system to harvest uranium from seawater. Prof. Haji has worked in industry as an engineering consultant at ATA Engineering, where she used analysis-driven design to solve problems ranging from aircraft and rockets to robotics and rollercoasters. She holds a B.S. in Mechanical Engineering and a B.A. in Applied Mathematics from the University of California, Berkeley.

Areas of Expertise

Marine and Earth Science:
Physical Oceanography
Marine Chemistry/Chemical Oceanography
Aquaculture
Aquaculture: multi-trophic
Passive mineral extraction
Engineering:
Systems Engineering
Environmental Engineering
Mechanical Engineering
Civil Engineering
Coastal Engineering
Energy Systems Engineering
Social Science:
Economics
Commercialization:
Prize competitions
Academic entrepreneurship
Accelerators and Incubators
Technology Transfer
Licensing
Start-up
Mentoring and Early Career Development:
High school interns
REU program
Master’s students
Ph.D. students
Postdocs

Resources & Facilities

Computational Facilities:
Computational modeling
Remote sensing
Machine learning and artificial intelligence
Field-Going Resources:
Sensor arrays
Autonomously operated vehicles and/or remotely operated vehicles
Drones and other UAVs