Undergraduate Research Opportunities in Electrical and Computer Engineering
Advanced Power Electronics and Electric Drives Lab (APEDL) (Ali Bazzi)
- The Power Electronics and Drives Advanced Research Laboratory (PEARL) at UConn is looking for at least one undergraduate research assistant to work on a project in the area of power electronics for space applications. Students should be in the School of Engineering, are US citizens, and have a GPA of at least 3.0/4. Background knowledge in electronic circuits, motor control, and/or coding microcontrollers and microprocessors, is necessary. The student will report to a graduate student in the lab and to Prof. Ali Bazzi, and will be paid at a rate of $15/hours. Students are expected to work 20 hours/week with up to 40 hours/week during the inter-semester break.
- The Power Electronics and Drives Advanced Research Laboratory (PEARL) at UConn is looking for at least one undergraduate research assistant to work on a project in the area of electric machine design and 3D printing. Students should be in the School of Engineering, are US persons (citizens or permanent residents), and have a GPA of at least 3.0/4. Background knowledge in electronic circuits, motor control, and/or 3D printing, is necessary. The student will report to a graduate Ph.D. student in the lab and to Prof. Ali Bazzi, and will be paid at a rate of $15/hours. Students are expected to work 20 hours/week with up to 40 hours/week during the inter-semester break.
Biosensors (Faquir Jain)
Student who is familiar with microprocessors and Python for smart watch for biosensor interface for healthcare
Biological Robotics and Disease Control (Abhishek Dutta)
My lab has ongoing projects on hardware, software and model/control aspects of cyborg insect robots and disease control by construction of network of interactions between, genes, proteins, signals, drugs etc. alongside innovative hardware/software implementations. Undergrads interested and/or knowledgeable in biomedical hardware/software and control systems are welcome to join the lab
Cyber-Physical Intelligence for Smart Grid Resiliency Lab (Junbo Zhao)
Students who are interested in power and energy systems and with a background in power systems, optimization, AI, and control.
- Power system modeling, estimation, uncertainty quantification, and cybersecurity;
- Power system dynamics and stability control with renewable energy;
- Big data analytics and machine learning for the smart grid;
- Power distribution system/microgrid estimation, learning, and control with high penetration of DERs.
Professor Zhao current projects
Laboratory of Intelligent Networks and Knowledge-perception Systems (Shalabh Gupta)
I take undergrad students usually on independent studies where they do many tasks related to: data collection and visualization from sensor network, software development for robotics related tasks, conducting both simulation and real experiments for testing path planning algorithms, and also hardware development.
Nanoelectronics Laboratory (Ali Gokirmak and Helena Silva)
We work at the intersection of material science, physics and electronics. Our current focus is on phase change memory devices, Ovonic threshold switches, field effect transistors (FETs), electro-thermal processes, electronic and thermal transport at small-scales (nanometer to micrometer scale).
Undergraduate students in our laboratory (1) perform electrical experiments on nanoscale devices and thin films, (2) deposit thin films and fabricate devices and test structures, (3) construct numerical models using COMSOL Multi-physics and conduct computational analysis.
Several of our undergraduate students have had their research published in leading conferences and journals.
Apply for a position in the Nanoelectronics Lab here
Storage and Network Systems Lab (John Chandy)
Research work in storage systems, cybersecurity, reconfigurable computing, and high-performance computing. Students should have C programming experience and familiarity with Linux.
Systems Optimization Lab (Krishna Pattipati)
US citizen students to work with my graduate students on combinatorial optimization and machine learning problems related to:
- Ship and UAV routing
- Eye tracking
- Implementing machine learning algorithms
- Collision detection and resolution
- Approximate Dynamic Programming algorithms
- Fast approximate algorithms for Binary Decision Diagrams
Programming knowledge in Python/Java/C++ a must.
Sustainable and Renewable Power Lab (Zongjie Wang)
Research opportunities in theoretical and numerical analysis in transmission, distribution, and coordinated transmission & distribution systems. Students should have good skills in codings at Matlab or Python with optimization algorithms (e.g., Gurobi).
Wireless Communications Research Lab (Shengli Zhou)
Research opportunities in wireless communications and networks with emphasis on implementation on software defined radio (SDR) platforms and performance prediction with machine learning tools.
