Shashank Vatedka

Research Group

Current

PhD
  • Ritesh Kumar (EE, Dec 2020-present)
    Working on distributed inference with limited communication
MTech
  • Galla Vamshi (EE, 2022-24)
  • Robin Singh (RA, EE, 2021-24)
  • 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
  • Varsha S (NIT Calicut)

Alumni

PhD
MTech
  • 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
  • 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)