Research Group
Current
PhD
- Ritesh Kumar (EE, Dec 2020-present)
Working on distributed inference with limited communication
MTech
- Tarandeep Singh (RA, AI, 2022-25, co-supervised with Soumya Jana and Lakshmi Prasad Natarajan)
- Sai Kiran Vallamkonda (EE, 2023-25)
- Dipesh Mishra (SM, 2023-25)
BTech
Interns
Alumni
PhD
MTech
- Galla Vamshi (EE, 2022-24)
Worked on quantization for federated learning
Next hop: Qualcomm - Robin Singh (RA, EE, 2021-24)
Worked on compression of multisets
Next hop: 5G/6G testbed, IITH - Dasari Shree Ujjwal (dual degree, EE, 2023)
Worked on quantization for distributed mean estimation
Next hop: Denso, Japan - Lavanya Yeleboina (EE, 2023)
Worked on distributed optimization over wireless channels
Next hop: Qualcomm - Ravi Kumar (SM, 2023)
Worked on federated learning
Next hop: HCL - Jashabanta Palasi (EE, 2021)
Worked on Jamming and mitigation for OFDM and CDMA
Next hop: Altiostar Networks
BTech
- Nithish S
Next hop: UCSD (MS) - Aditya Somasundaram
Next hop: Columbia University (MS) - Srikanth Kamparaju and Mastan Shaik (EE)
Worked on low-complexity compressors with random access
Paper accepted at SPCOM 2022. Code - Parth Singh (EP, Aug-Dec 2021)
- Khazi Maaz, Amrit Parimi and Aakash Daswani (EE, Jan-Apr 2021)
- Abhishek Bairagi, Hrithik Pawar, Kunal Singh (EE, Jan-Apr 2021)
- Karthik Kanukollu and Sravan Kumar CH (EE, Aug-Dec 2020)
Worked on random access for LZ-based compression - Rangesh P (ES, Jan-Apr 2020)
Worked on DNA compression algorithms
IITH -> IIT Kanpur (MTech) -> TU Delft (PhD)
Interns
- Varsha S, NIT Calicut (summer 2024, SURE intern)
- KV Veerendra Babu, NIT AP (summer 2023)
- Atharva Rathi, NIT Tiruchirapalli (summer 2023, SURE intern, recipient of 2024 DAAD WISE scholarship)
- Daaris Ameen, NIT Tiruchirapalli (summer 2021)
- Manvi Pandey, CoT Pantnagar (summer 2020)