Bengaluru, Karnataka, India
Fabricated FinFETs on Isotopically purified Si substrates with CDs of 32, 22 and 14nm using ebeam and 193i projection Lithography and embedded Quantum Dot (QD) arrays along the Fins. • Fabricated FinFETs in 3, 5 and all-around gate configurations with different gate dielectric material such as SiO2, Si3N4 and TiO2. • Determined the effect of FinFET CD on Qubit decoherence times and on gate fidelity. • Engineered Fin as well as control gate morphology to minimize parasitic capacitance, leading to the reduction of operational latency and to better coupling of MW pulses to the QDs. • Implemented CROT and ZCROT gates and achieved T1 of 50ms and T2 of 5ms. • Implemented process and device simulation in Semulator 3D and in Silvaco. • Fabricated dense Neuromorphic 64*64 crossbars based on novel 2D Pb free perovskite. • Performed pulsed AC characterization and found 16000 physical states in neuromorphic device. • Implemented VMM on the crossbar array and characterized its sensitivity to noise sources. • Characterized devices using GST, FIB, XRD, SEM, TEM, PL spectroscopy and IV and CV.
- Researched and coded unstructured data from project files and project charters related to governance mechanisms in blockchain projects. - Researched and categorised governance by design at the architecture, protocol and consensus mechanism layer. - Researched and categorised decision-making mechanisms in Blockchain projects. - Researched ‘Automated Market Maker’ design and economics. - Researched economics of blockchains
• Surveying of long-memory processes, estimation and forecasting capabilities of different long-memory processes. • Categorizing the long-memory trends in data associated with different law and policy practice areas. • Identifying the clauses in law and policy areas that contribute to the long-memory trends as well as quantifying the effect of the length of interval between law/policy changes on the long-memory behavior.
- Analyzing operation of Market-Makers and Dark-Pools and of the impact of MiFID II requirements on these profession. - Machine Learning Models for Market-Making and Optimization of these models to capitalize on the available liquidity in Dark-Pools. - Pre-Trade Analysis, Signal generation and Trade execution algorithm framework evaluation for trading in various asset classes. - Algo framework Risk management module strategy, design and evaluation. - Cost-effective solutions for bridging the gap between industry practices and regulator expectations.