Primary
3GPP standardization, RAN1/RAN4 contributions, channel estimation, demodulation, decoding, Signal Processing and estimation, machine learning, sensor localization, data science, optimization,
Secondary
Wireless Communication, Digital Signal Processing, Multiple Input Multiple Output channels (MIMO), LTE, Physical/MAC layer protocols, Modem commercialization/bringup
Ph.D Thesis: Algorithms for Sparse & Structurally Constrained Discrete Optimization Problems
Developed and rigorously analyzed high-performance algorithms for sparsity-aware integer least-squares problems, with applications in wireless communications (e.g., underwater and ultra-wideband channels) and computational biology (e.g., array-CGH microarray analysis)
Designed scalable semidefinite programming–based optimization frameworks for accurate clustering of large-scale genomic data, enabling efficient viral quasispecies assembly
Established theoretical performance guarantees for haplotype assembly by formulating the problem as low-rank matrix completion with structured constraints
Master's Thesis: Full Rate High Diversity Precoding for V-BLAST with Angle Parameter Feedback
Designed full rate limited feedback precoders for Multiple Input Multipe Output (MIMO) channels, outperforming Golden Code in terms of coding gain
Developed lattice based precoder for MIMO having provably full diversity gain with channel state information (CSI) at the transmitter
Designed full-rate and full diversity precoders for MIMO with partial channel information at the transmitter, with minimal feedback overhead
Bachelor's Thesis: FPGA based hardware realization of Cryptographic Algorithm for Secure VPNs
Implemented symmetric key cryptographic algorithms designed for Virtual Private Network (VPNs) security on Xilinx Field Programmable Gate Array (FPGA) platforms