Rachel Kalpana Kalaimani

28 papers C 3Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Convergence Analysis of Stochastic Saddle Point Mirror Descent Algorithm: A Projected Dynamical Viewpoint.
IEEE Trans. Autom. Control.
Anik Kumar Paul, Arun D. Mahindrakar, Rachel Kalpana Kalaimani
2026 J jnl
Distributed Federated Learning by Alternating Periods of Training.
CoRR
Shamik Bhattacharyya, Rachel Kalpana Kalaimani
2025 J jnl
Distributed ADMM With Linear Updates Over Directed Networks.
IEEE Trans. Netw. Sci. Eng.
Kiran Rokade, Rachel Kalpana Kalaimani
2024 C conf
Optimal Pinning Control for Synchronization Over Temporal Networks.
ACC
Aandrew Baggio S, Rachel Kalpana Kalaimani
2024 J jnl
Optimal Pinning Control for Synchronization over Temporal Networks.
CoRR
Aandrew Baggio S, Rachel Kalpana Kalaimani
2024 — conf
Reinforcement Learning for Dynamic Pricing under Competition for Perishable Products.
ICSTCC
Srikar Babu Gadipudi, Rachel Kalpana Kalaimani
2023 C conf
ADMM based Distributed State Observer Design under Sparse Sensor Attacks.
ACC
Vinaya Mary Prinse, Rachel Kalpana Kalaimani
2023 J jnl
Distributed Estimation Over Directed Graphs Resilient to Sensor Spoofing.
IEEE Trans. Control. Netw. Syst.
Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani
2023 J jnl
Resilient Dynamic Average Consensus based on Trusted agents.
CoRR
Shamik Bhattacharyya, Rachel Kalpana Kalaimani
2022 J jnl
ADMM based Distributed State Observer Design under Sparse Sensor Attacks.
CoRR
Vinaya Mary Prinse, Rachel Kalpana Kalaimani
2022 C conf
Distributed Online Optimization with Byzantine Adversarial Agents.
ACC
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
2022 — conf
Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders.
ECC
Sushobhan Chatterjee, Rachel Kalpana Kalaimani
2022 J jnl
Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders.
CoRR
Sushobhan Chatterjee, Rachel Kalpana Kalaimani
2022 J jnl
Distributed computation of fast consensus weights using ADMM.
Autom.
Kiran Rokade, Rachel Kalpana Kalaimani
2022 J jnl
On Strong Structural Controllability of Temporal Networks.
IEEE Control. Syst. Lett.
Manikya Valli Srighakollapu, Rachel Kalpana Kalaimani, Ramkrishna Pasumarthy
2022 J jnl
Online Distributed Optimal Power Flow with Equality Constraints.
CoRR
Sushobhan Chatterjee, Rachel Kalpana Kalaimani
2022 J jnl
Optimizing Driver Nodes for Structural Controllability of Temporal Networks.
IEEE Trans. Control. Netw. Syst.
Manikya Valli Srighakollapu, Rachel Kalpana Kalaimani, Ramkrishna Pasumarthy
2022 — conf
Reinforcement Learning based Multi-objective Optimization for Broadband Newtonian Noise Cancellation in GW Detectors.
MED
Roselyn Jose, Rachel Kalpana Kalaimani
2021 J jnl
Distributed Online Optimization with Byzantine Adversarial Agents.
CoRR
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
2021 J jnl
Distributed Resilient Estimation over Directed Graphs.
CoRR
Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani
2021 — conf
Optimization of Sensor Placement for Broadband Newtonian Noise Cancellation in GW Detectors.
ICSTCC
Roselyn Jose, Rachel Kalpana Kalaimani
2021 J jnl
Optimizing network topology for average controllability.
Syst. Control. Lett.
Manikya Valli Srighakollapu, Rachel Kalpana Kalaimani, Ramkrishna Pasumarthy
2020 J jnl
Distributed ADMM over directed graphs.
CoRR
Kiran Rokade, Rachel Kalpana Kalaimani
2020 J jnl
Distributed computation of optimal weights for consensus using ADMM.
CoRR
Kiran Rokade, Rachel Kalpana Kalaimani
2016 J jnl
Impulse Controllability: From Descriptor Systems to Higher Order DAEs.
IEEE Trans. Autom. Control.
Rachel Kalpana Kalaimani, Cornelis Praagman, Madhu N. Belur
2013 — conf
Minimal controller structure for generic pole placement.
ECC
Rachel Kalpana Kalaimani, Madhu N. Belur
2013 J jnl
Singular LQ Control, Optimal PD Controller and Inadmissible Initial Conditions.
IEEE Trans. Autom. Control.
Rachel Kalpana Kalaimani, Madhu N. Belur, Debraj Chakraborty
2011 — conf
Singular LQR control, impulse-free interconnection and optimal PD controller design.
CDC/ECC
Rachel Kalpana Kalaimani, Madhu N. Belur
edge-cases.md
← Index edge-cases.md markdown 
# Edge Cases Samples
This is a list of samples that represent some edge cases where the extractors fail (completely or in part) to parse information we know to be there

**Sample:**

**VT:**

**Description:**

**Other:**


## PE Samples
### DotNET
**Sample:** `"/Users/p4c0/_samples/test-unzipped/98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7"`

**VT:** https://www.virustotal.com/gui/file/98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7/details

**Description:**
It is recognized as dotnet but it fails to extract any information, returning an empty dictionary:
```
{
    "sha256": "98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7",
    "md5": "a32eca5321baaf3d9b62ed129458a814",
    "sha1": "4524e99a3849c815a48579fb916e53cded739f46",
    "dotnet": {
        "Event" : [],
        "ExternalUnmanagedMethods" : [],
        "ExternalUnmanagedModules" : [],
        "ManifestResource" : [],
        "Resources" : []
    },
    "analysis_date": "2025-01-22 13:16:20.897"
}
```

with the following errors:
```
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Format error dotnet file 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 Full error : 'CLR header of file is most likely corrupt.'
98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting metadata tables for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'existent_metadata_tables'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error extracting GUID for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'guid_stream_guids'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting CLR version for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_runtime_target_version'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting module info for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'metadata_table_exists'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting basic properties for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'info'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting assembly flags for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'clr_header'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting more metadata/info clr header for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_number_of_streams'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting streams for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_stream_names'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting resources for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'has_resources'
```
**Other:**