Students

The team is growing! If you’re interested in joining, see below.

PhD students

• Rupam Kalyan Chakraborty 

• Peiyuan Zhai

• Yanbin He

MSc students

MSc Alumni

• Kunlei Yu (with Jac Romme, IMEC)

• Yi Weijia (with Nitin Myers)

• Çağan Önen (with Ashish Pandharipande, NXP)

Past Visitors

• Irawati Rahul Thete, BITS Pilani, Goa Campus

Prospective PhD candidates

I'm looking for passionate PhD candidates keen on exploring machine learning and signal processing. Candidates interested in signal processing, communications, and machine learning are encouraged to apply. A solid foundation in applied mathematics is crucial for my projects. If this resonates with you, kindly write to me with your CV. If your qualifications align strongly with an available opportunity, I'll reach out to discuss the next steps. Please understand that due to time constraints, I may be unable to respond individually to every email. Your understanding is appreciated.

Prospective MSc students

If you are currently an MSc student at TU Delft and wish to sign up to do your project with me, please feel free to write to me or drop by my office for a chat. My office is on the 17th floor of Building 36, Makelweg 4. If you are interested in joining the team, you should have some experience or coursework in signal processing/applied mathematics and ideally some experience with MATLAB or Python.

There are several internships/thesis opportunities on applied or fundamental (theoretical) research problems with companies (NXP, ASML, etc.) and institutes (my US and Indian collaborators). 

Some example areas in which you could work with me include:

• Sensor fusion for automotive applications

• Group testing for binary imaging

• Sparse recovery algorithms for network control

• Wireless channel estimation and communication system performance

Here are some past joint publications with my past MSc students:

• W. Yi, N. J. Myers,  and G. Joseph, "Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements," in Proc. ICC, Denver, CO, USA, Jun. 2024

• Ç. Önen, A. Pandharipande, G. Joseph, and N. J. Myers, Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity, in IEEE Sensors, Apr. 2023

• Ç. Önen, A. Pandharipande, G. Joseph, and N. J. Myers, LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity, in Proc. IEEE Sensors, Vienna, Austria, Oct.-Nov. 2023