01
Database Systems
Explorations in analytical query execution engines, approximate query processing (AQP), adaptive sampling, and columnar storage efficiency.
Now: Approximate Query Processing / Query Optimization / Columnar Storage
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Adith Manikonda / Research
Research
notes.
Database systems, trustworthy AI, distributed systems, security and machine learning. What is being worked on, what has been published, and what is being read.
- 5
- Areas
- 4
- Active projects
- 4
- Papers
- 2
- Patents
Areas
02
AI Systems & Security
Investigating LLM agent security vulnerabilities, memory trust boundaries, prompt injection resilience, and trustworthy retrieval augmented generation.
Now: LLM Security / AI Agents / Information Retrieval
03
Distributed Systems
Building high-concurrency event pipelines, distributed telemetry tracing, OpenTelemetry collectors, and failure resilient backend infrastructure.
Now: Distributed Tracing / Kubernetes Reliability / High-Concurrency Queues
04
Operating Systems & Kernel
Analyzing TOCTOU race conditions, system call boundaries, edge compute sandboxing, and lightweight process isolation.
Now: System Call Security / TOCTOU Vulnerabilities / Edge Sandboxing
05
Machine Learning & Analytics
Applying machine learning to time-series anomaly detection, industrial SCADA telemetry reduction, and computer vision medical screening.
Now: Time Series Analytics / SCADA Telemetry / Computer Vision
Active
- The problem
- Multi-turn text-to-SQL agents accumulate schema context and dynamic user state in memory buffers. Adversarial or ambiguous queries cause state pollution, leading to destructive query generation or sensitive table exposures.
- Why it matters
- Enterprise database copilots rely on persistent conversation memory, yet current architectures lack isolated sandboxing for schema context vs user query state.
- The approach
- Building a deterministic evaluation harness that injects adversarial schema context into long-horizon text-to-SQL agent traces and measures semantic query drift and unauthorized data retrieval.
- Where it stands
- Benchmark suite implemented with 400+ test cases evaluating memory pollution across multiple open-source text-to-SQL agent frameworks.
- Next
- Formalizing a zero-trust memory boundary protocol for agentic database assistants.
Papers
Published2026
NeLeX 2026 / IEEE Xplore
An Efficient Handcrafted Feature Driven Ensemble Learning Approach for Retinal Disease Screening
Adith Manikonda et al.
Under Review2026
IEEE Transactions on Industrial Informatics / IEEE
Wind Turbine Fault Detection using SCADA Data
Adith Manikonda et al.
Under Review2026
Data & Knowledge Engineering / Elsevier
Adaptive Threshold Based Time Series Data Reduction for Efficient Storage and Forecasting
Adith Manikonda et al.
In Progress2026
Industrial Automation & Systems Engineering
Digital Twin for Smart Manufacturing
Adith Manikonda et al.
Patents
202641032830
Filed 18 Mar 2026
Published 18 Mar 2026
Published, under examination
Wave Energy Generator Electrical Circuit with Maximum Power Point Tracking and IoT Telemetry System
An electrical circuit system featuring maximum power point tracking (MPPT) integrated with an IoT telemetry pipeline for monitoring ocean wave energy harvesting efficiency in real-time.
Circuit Design / Embedded Systems / IoT / Power Electronics / Renewable Energy / MPPT
202641010249
Filed 31 Jan 2026
Published 13 Feb 2026
Published
A System for Real Time Environmental Perception and Assistance for a Visually Impaired User
A real-time environmental perception and assistance system for visually impaired users, utilizing multi-modal edge perception sensors and signal processing for obstacle and context awareness.
Computer Vision / Edge Processing / Assistive Technology / Perception Systems / Signal Processing
Timeline
2025
Initiated Applied Systems & ML Research
VIT Vellore / Independent Exploration
Began formal research into database query visualizers (Argus), time-series anomaly detection, and SCADA telemetry optimization.
2026
IEEE Publication (NeLeX 2026)
IEEE Xplore Conference Proceedings
Published paper 'An Efficient Handcrafted Feature Driven Ensemble Learning Approach for Retinal Disease Screening' at NeLeX 2026 conference.
2026
Dual Patent Publication
Indian Patent Office (Application Nos. 202641032830 & 202641010249)
Published patents for Wave Energy Harvester MPPT IoT Telemetry and Real-Time Environmental Perception for Visually Impaired Users.
2026
Research Internship
Indian Institute of Technology (IIT) Hyderabad
Accepted competitive research role exploring high-performance systems engineering, distributed infrastructure, and hardware-software telemetry.
CURRENT
Advanced Database & AI Trust Systems
Digital Research Lab
Active research in Text-to-SQL Agent Memory Pollution, Approximate Query Processing algorithms, and TOCTOU vulnerabilities in AI agent runtimes.
How the work is done
Systems that are measurable, reproducible and explainable. Practical problems, rigorous experiments, and infrastructure that holds up when it is scaled.
Reading
| Year | Paper | Topic | Status | Takeaway |
|---|---|---|---|---|
| 2019 | DuckDB: an Embeddable Analytical Database Mark Raasveldt, Hannes Mühleisen | Databases | Completed | Vectorized query execution algorithms for in-process OLAP engines. |
| 2013 | BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data Sameer Agarwal et al. (UC Berkeley RISELab) | Databases | Notes Available | Stratified sampling mechanisms for sub-second AQP error bounds. |
| 2019 | Neo: A Learned Query Optimizer Ryan Marcus et al. (MIT CSAIL) | Databases | Reading | Deep reinforcement learning for relational query plan generation. |
| 2012 | Spanner: Google's Globally-Distributed Database James C. Corbett et al. (Google) | Distributed Systems | Completed | External consistency and TrueTime API using synchronized atomic clocks. |
| 2010 | Dapper, a Large-Scale Distributed Systems Tracing Infrastructure Benjamin H. Sigelman et al. (Google) | Distributed Systems | Completed | Low-overhead out-of-band trace collection in microservices. |
| 2014 | In Search of an Understandable Consensus Algorithm (Raft) Diego Ongaro, John Ousterhout (Stanford) | Distributed Systems | Completed | Leader election and replicated log management for consensus. |
| 2024 | SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Carlos E. Jimenez et al. (Princeton University) | LLMs & AI | Notes Available | Rigorous execution-based evaluation for autonomous coding agents. |
| 2023 | BIRD: A Big Bench for Large-Scale Database Grounded Text-to-SQL Evaluation Jinyang Li et al. (HKUST / Alibaba) | LLMs & AI | Completed | Dirty database schemas and complex analytical query evaluation. |
| 2020 | TOCTOU Race Conditions in File Systems and Agent Executions Matt Bishop et al. | Security | Reading | Asynchronous state mutation vulnerabilities during multi-step tool calls. |
| 2023 | Not What You’ve Signed Up For: Compromising Real-World LLM-Integrated Applications Sahil Abdelnabi et al. (CISPA) | Security | Notes Available | Indirect prompt injection taxonomy in retrieval-connected AI workflows. |
| 2019 | BPF Performance Tools: Linux System and Application Observability Brendan Gregg | Operating Systems | Completed | In-kernel tracing, system call instrumentation, and zero-copy probes. |