Demo Data from SIGIR 2026 / reviewers in the wild / expert
Raj Sahu
dblp:293/5388
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2023
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
electric vehicle |
0.5 | 1 | 2021 | Electric Drive Technology Trends, Challenges, and Opportunities for Future Electric Vehicles · Proc. IEEE 2021 |
Integrated circuit design
power electronics |
0.1 | 1 | 2021 | Electric Drive Technology Trends, Challenges, and Opportunities for Future Electric Vehicles · Proc. IEEE 2021 |
Methods — techniques the papers use, named apart from their topics
power density optimization · 1.0electric machine design · 1.0component cooling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Kernel extension verification is untenableabstractThe emergence of verified eBPF bytecode is ushering in a new era of safe kernel extensions. In this paper, we argue that eBPF's verifier---the source of its safety guarantees---has become a liability. In addition to the well-known bugs and vulnerabilities stemming from the complexity and ad hoc nature of the in-kernel verifier, we highlight a concerning trend in which escape hatches to unsafe kernel functions (in the form of helper functions) are being introduced to bypass verifier-imposed limitations on expressiveness, unfortunately also bypassing its safety guarantees. We propose safe kernel extension frameworks using a balance of not just static but also lightweight runtime techniques. We describe a design centered around kernel extensions in safe Rust that will eliminate the need of the in-kernel verifier, improve expressiveness, allow for reduced escape hatches, and ultimately improve the safety of kernel extensions. Jinghao Jia, Raj Sahu, Adam Oswald, Dan Williams 0001, Michael V. Le, Tianyin Xu |
HotOS | 2 |
| 2023 | Enhanced Graph Representations for Graph Convolutional Network Models
Vandana Bhattacharjee, Raj Sahu |
Multim. Tools Appl. | 2 |
| 2022 | Efficient ECC-Based CP-ABE Scheme With Constant-Sized Key and Scalable User RevocationabstractA lightweight encryption technique with low storage overheads is essential to secure data access from Resrouce-Constrained Devices (RCD). It must protect against unsolicited users with scalable user revocation with uninterrupted access to valid users. A user must be able to access RCD over low-energy wireless communication interfaces through a user reader device (mobile). Attribute-based encryption is an efficient technique for securely sharing sensitive data with multiple stakeholders without the requirement of sharing multiple security keys. This paper proposes a novel ECC-based scalable user revocation (EASER) ciphertext policy attribute-based encryption (CP-ABE) encryption scheme to secure and selectively share data from RCD with multiple stakeholders. It is based on ECC, with lower decryption time and constant-sized secret keys with low storage overhead. EASER extends Odelu et al.'s ECC-based CP-ABE scheme for scalable user revocation and mitigates a proven key-collusion attack. It is suitable for securing RCD and provides secure, selective access from a user reader device. Divyashikha Sethia, Raj Sahu |
Int. J. Inf. Secur. Priv. | 2 |
| 2021 | Electric Drive Technology Trends, Challenges, and Opportunities for Future Electric VehiclesabstractThe transition to electric road transport technologies requires electric traction drive systems to offer improved performances and capabilities, such as fuel efficiency (in terms of MPGe, i.e., miles per gallon of gasoline-equivalent), extended range, and fast-charging options. The enhanced electrification and transformed mobility are translating to a demand for higher power and more efficient electric traction drive systems that lead to better fuel economy for a given battery charge. To accelerate the mass-market adoption of electrified transportation, the U.S. Department of Energy (DOE), in collaboration with the automotive industry, has announced the technical targets for light-duty electric vehicles (EVs) for 2025. This article discusses the electric drive technology trends for passenger electric and hybrid EVs with commercially available solutions in terms of materials, electric machine and inverter designs, maximum speed, component cooling, power density, and performance. The emerging materials and technologies for power electronics and electric motors are presented, identifying the challenges and opportunities for even more aggressive designs to meet the need for next-generation EVs. Some innovative drive and motor designs with the potential to meet the DOE 2025 targets are also discussed. Iqbal Husain, Burak Ozpineci, Md Sariful Islam, Emre Gurpinar, Gui-Jia Su, Wensong Yu, Shajjad Chowdhury, Lincoln Xue, Dhrubo Rahman, Raj Sahu |
Proc. IEEE | 10 |