EDBT 2026 Demo / reviewers in the wild / expert
Avinash Lahgere
dblp:358/3231
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0003-1440-0841ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 56% Memory systems · 36% Energy-efficient computing · 8% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › soft errors
single-event upset |
1.0 | 1 | 2026 | Evaluation of Radiation Resilience, Performance, and Vmin of Sub-3 nm FSFET Based SRAM Arrays · IEEE Trans. Computers 2026 |
Hardware reliability and fault tolerance
soft errors |
1.0 | 1 | 2026 | Evaluation of Radiation Resilience, Performance, and Vmin of Sub-3 nm FSFET Based SRAM Arrays · IEEE Trans. Computers 2026 |
Memory systems › random-access memory
SRAM |
1.0 | 1 | 2026 | Evaluation of Radiation Resilience, Performance, and Vmin of Sub-3 nm FSFET Based SRAM Arrays · IEEE Trans. Computers 2026 |
Memory systems › on-chip memory
SRAM array |
0.3 | 1 | 2026 | Evaluation of Radiation Resilience, Performance, and Vmin of Sub-3 nm FSFET Based SRAM Arrays · IEEE Trans. Computers 2026 |
Methods — techniques the papers use, named apart from their topics
TCAD simulation · 1.0SPICE · 1.0BSIM-CMG compact modeling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Evaluation of Radiation Resilience, Performance, and Vmin of Sub-3 nm FSFET Based SRAM ArraysabstractIn this work, we present single-event upset (SEU) analysis for Forksheet FET (FSFET) based CMOS circuits. Next, we present an array-level power and performance analysis along with the Vminevaluation for the FSFET-based SRAM. Physics based TCAD and industry-standard BSIM-CMG compact models are calibrated for accurate circuit analysis in SPICE. The impact of varying Heavy-Ion Radiation (HIR) doses and strike orientations is investigated for the FSFETs. The robustness of CMOS inverter against HIR is also reported in terms of failure time (tfail) and output voltage swing ($Δ$VDrop). For the SRAM, we determine the critical Linear Energy Transfer (LET). For FSFET, the individual n-/p-FETs are more vulnerable to the irradiation incident on nearby devices. At the circuit level, in comparison to perpendicular strikes, the$Δ$VDropincreases by 1.25V and 2.75V respectively, for oblique and transverse incidences, at a dose of 2.0MeVcm2/mg. The tfail also increases by 43% and 60% and the SRAM critical LET also decreases by 85% and 57.5%, respectively. The array level SRAM evaluation shows that the FSFET enables reliable operation with low-power consumption, impressive noise margins, and low minimum operating voltage (Vmin) values. FSFET SRAM power dissipation during the read and write operations is as low as 7.02$μ$W, and 3.00$μ$W respectively. At VDD=0.70V, the noise margins for hold, read, and write operations are 289.27mV, 122.89mV, and 297.79mV. The Vminfor read and write operations are 0.30V and 0.35V respectively. Hafeez Raza, Mahdi Benkhelifa, Koshal Kumar, Shivendra Singh Parihar, Yogesh Singh Chauhan, Hussam Amrouch, Avinash Lahgere |
IEEE Trans. Computers | 7 |
| 2025 | Energy Efficient Negative Capacitance L-Shaped Tunnel Field Effect TransistorabstractIn this paper, we have proposed a negative capacitance (NC) L shaped channel tunnel field-effect transistor (NC-LTFET), which consists of a hafnium oxide$(\text{HfO}_{2})$based ferroelectric (FE) layer in the gate stack. The presence of polarization phenomena in the FE layer tends to enhance the internal voltage and electric field, which result higher ON-state current and steeper subthreshold swing (SS). From well calibrated 2-D TCAD simulation results, it is revealed that the NC-LTFET outperforms the conventional LTFET in terms of both static and dynamic energy dissipation. The NC-LTFET exhibits$\sim 430 \times$and$\sim 10^{4} \times$higher ON-state current and$I_{O N} / I_{O F F}$ratio, respectively, as compared to the conventional LTFET. In addition, the proposed NC-LTFET shows$\sim 2.2 \times, \sim 10^{2} \times$and$\{\sim} 10^{2} \times$low SS, switching delay and energy delay product (EDP), respectively as compared to the conventional LTFET. As a result, NC-LTFET is$10 \times$higher energy efficient for both memory and logic designs switching at ultra-low supply voltage$(<0.2 ~\mathrm{V})$when compared to the conventional MOSFET and LTFET. Alok Kumar Kamal, Neha Kamal, Avinash Lahgere, Somesh Kumar |
TENCON | 3 |