Behind the scenes: Generating texts

In this notebook we will generate texts using a large language model and store them in a CSV file. More precisely, we generate PhD thesis topics from subdomains of computer science using the gpt-oss:20b model and the ollama software for running LLMs locally.

import random

First, we test the connection to the LLM server.

def prompt(message:str, model="meta-llama/Llama-3.3-70B-Instruct", temperature=0.2):
    """A prompt helper function that sends a message to ScaDS.AI LLM server at 
    ZIH TU Dresden and returns only the text response.
    """
    import os
    import openai
    
    # convert message in the right format if necessary
    if isinstance(message, str):
        message = [{"role": "user", "content": message}]
    
    # setup connection to the LLM
    client = openai.OpenAI(base_url="https://llm.scads.ai/v1",
                           api_key = os.environ.get('SCADSAI_API_KEY')
            ## ScaDS.AI server
            #base_url="https://llm.scads.ai/v1",
            #api_key=os.environ.get('SCADSAI_API_KEY')
    )
    response = client.chat.completions.create(
        model=model,
        messages=message,
        temperature=temperature
    )
    
    # extract answer
    return response.choices[0].message.content

prompt("hello world")

"Hello! It's nice to meet you. Is there something I can help you with or would you like to chat?"

Next, we define a couple of random first and lastnames. We also define a list of institutes. These will hint the LLM to generate PhD topics that are relevant to a given institute.

import pandas as pd
import numpy as np
import random

# Define separate lists for first names and last names
first_names = ["Alex", "Jordan", "Morgan", "Taylor", "Avery",
               "Sam", "Casey", "Riley", "Jamie", "Dakota",
               "Bailey", "Cameron", "Sydney", "Robin", "Charlie",
               "Dana", "Kris", "Skyler", "Devon", "Reese"]

last_names = ["Reed", "Smith", "Lee", "Garcia", "Patel",
              "Chen", "O'Hara", "Jain", "Kumar", "Singh",
              "Liu", "Davis", "Clark", "Thomas", "Brooks",
              "Flores", "Rivera", "Adams", "Gonzalez", "Campbell"]

faculties = """Artificial Intelligence
Machine Learning
Computer Vision
Natural Language Processing
Robotics
Algorithms and Data Structures
Computational Complexity
Programming Languages
Software Engineering
Operating Systems
Computer Architecture
Computer Networks
Distributed Systems
Database Systems
Cybersecurity
Human-Computer Interaction
Computer Graphics
Information Retrieval
Quantum Computing
Bioinformatics""".split("\n")
len(faculties), faculties[:10]

(20,
 ['Artificial Intelligence',
  'Machine Learning',
  'Computer Vision',
  'Natural Language Processing',
  'Robotics',
  'Algorithms and Data Structures',
  'Computational Complexity',
  'Programming Languages',
  'Software Engineering',
  'Operating Systems'])

In the following loop we select an institute name randomly and ask the LLM server to generate a PhD topic related to the chosen institute.

research_fields = faculties

# Set random seed for reproducibility
np.random.seed(42)
random.seed(42)

profiles = []

#for field in faculties:
while len(profiles) < 250:    
    # Random name generation from first and last name
    name = f"{random.choice(first_names)} {random.choice(last_names)}"
    field = random.choice(research_fields)

    topic = prompt(f"""Generate an English PhD thesis topic for someone working at a Computer Science Research Institute in group '{field}'. Reply with only the title of the research project and nothing else.""", temperature=0.9)
    topic = topic.strip().replace("</s>", "").replace("\"", "")
    if ":" in topic and " " not in topic.split(":")[0]:
        topic = topic.split(":")[1]
    if "</thinking>" in topic:
        topic = topic.split("</thinking>")[1]

    print(len(topic), topic)
    
    profiles.append({
        "name": name,
        "research_field": field,
        "topic": topic
    })

95 Runtime Verification of Adaptive Microservice Architectures Under Distributed Failure Scenarios
93 Learning‑Based Resilient Coordination of Heterogeneous Robotic Swarms in Dynamic Environments
112 Unsupervised Spatiotemporal Representation Learning Using Diffusion Models for Real‑Time Video Anomaly Detection
126 Uncertainty‑Aware Reinforcement Learning for Automated Hyperparameter Optimization in Large‑Scale Distributed Machine Learning
72 Fine‑Grained Complexity of Dynamic Subgraph Isomorphism in Sparse Graphs
94 Scalable Graph Neural Networks for Pan‑Genomic Variant Calling with Uncertainty Quantification
104 Parameterized Complexity and Kernelization Limits for the Edge‑Disjoint Paths Problem in Directed Graphs
180 Design, Implementation and Formal Verification of a Hybrid Static‑Dynamic Type System for Safe Interoperability Between Statically Typed and Dynamically Typed Programming Paradigms
103 Reinforcement Learning‑Guided Automatic Generation of Resilient Cloud‑Native Microservice Architectures
90 Adaptive Snapshot Isolation for Low‑Latency Transactions in Distributed Columnar Databases
134 Embodied Pragmatic Grounding for Natural Language Interaction with Collaborative Robots: A Multimodal Approach to Human-Robot Dialogue
152 Integrating Multimodal Knowledge Graphs with Few-Shot Meta-Learning for Contextualized Commonsense Reasoning in Low‑Resource Natural Language Processing
141 Multimodal Explainable Summarization: Leveraging Contrastive Alignment of Text and Visual Context for Factually Grounded Narrative Generation
121 Hybrid Graph Neural Network Approach for Multi‑Omic Integration and Gene Regulatory Network Inference in Cancer Evolution
133 Design and Evaluation of an AI‑Assisted Threat Intelligence Platform Leveraging Graph Neural Networks for Real‑Time Attack Prediction
92 Energy‑Aware Byzantine‑Resilient Consensus for Heterogeneous Edge‑to‑Fog Distributed Systems
94 Designing a Machine‑Learning–Assisted Adaptive Scheduler for Real‑Time Cloud Operating Systems
161 Quantum‑Error‑Corrected Algorithms for Exponential Speedup in Practical Optimization Problems: Theory, Design, and Implementation on Fault‑Tolerant Architectures
107 Adaptive Semi-Supervised Federated Learning with Privacy-Preserving Contrastive Representation Optimization
111 Diffusion-Guided Multi-View Stereo for Robust, Real-Time 3D Reconstruction in Unstructured Outdoor Environments
129 Designing Adaptive Consistency Models for Low‑Latency Blockchain‑Based Distributed Systems under Heterogeneous Network Conditions
185 Self‑Healing Software‑Defined Networks: A Deep Reinforcement Learning Framework for Real‑time Failure Detection and Automated Recovery in Heterogeneous Telecommunication Infrastructures
88 Adaptive Multicast Routing in Software‑Defined SD‑WANs Using Deep Reinforcement Learning
115 Self‑Supervised Multi‑Modal Feature Fusion for Real‑Time Robust Autonomous Navigation in Adverse Weather Conditions
159 Adaptive Conversational Retrieval via Hierarchical Transformer‑Based Contextual Semantics and Reinforcement‑Learning Fine‑Tuning for Real‑Time Document Ranking
99 Quantum‑Resilient, Differentially Private Federated Deep‑Learning for Real‑Time Intrusion Detection
120 Hybrid Graph‑Neural Architectures for Multi‑Modal Contextualized Information Retrieval with Explainable Decision Support
136 Adaptive Semi‑Supervised Learning on Dynamic Graphs via Spatio‑Temporal Self‑Attention Techniques for Explainable Recommendation Systems
125 Adaptive Sparse Matrix-Multiply Acceleration on Programmable Quantum Dot Arrays for Energy‑Efficient Neural Network Inference
113 End-to-End Differentiable Rendering for Explainable 3D Shape Generation from Single Images using Diffusion Models
112 Energy‑Efficient On‑Die Neural Inference Engines via Volatile Memory Integration and Voltage‑Domain Partitioning
98 Reinforcement Learning‑Driven Adaptive Consistency in Heterogeneous Edge–Cloud Distributed Systems
114 Towards Self‑Repairing Continuous Delivery Systems Using Probabilistic Program Analysis and Reinforcement Learning
107 Privacy‑Aware Federated Information Retrieval: Trustworthy Ranking under Differentially Private Constraints
107 Designing Adaptive Quantum Error Mitigation Schemes for Hybrid Classical–Quantum Machine Learning Workflows
69 Latency‑Adaptative Consensus Protocols for Edge‑Distributed Databases
103 Adaptive Decentralized Planning in Heterogeneous Robotic Swarms via Hierarchical Reinforcement Learning
96 Neuro‑Symbolic Graph‑Transformer Models for Explainable Visual Reasoning and Scene Understanding
86 Adaptive Multi‑Agent Cooperative Robot Swarms for Dynamic Search and Rescue Operations
114 Integrating Graph Neural Networks with Multi‑Omics Data to Predict Gene Regulatory Interactions in Cancer Subtypes
88 Adaptive, Low-Latency Consensus Protocols for Heterogeneous Edge-Cloud Federated Systems
105 Learning-based Real-time Physically Based Rendering with Integrated Denoising for Interactive Ray Tracing
96 Adaptive Federated Transfer Learning for Edge AI with Privacy‑Preserving Differential Guarantees
145 Predictive Fault Mitigation in Continuous Delivery Pipelines Through Explainable, Reinforcement‑Learning Enhancements of Deployment Orchestration
129 Designing Energy‑Aware Real‑Time Scheduling Algorithms for Distributed Edge Operating Systems on Heterogeneous Hardware Platforms
89 Quantum‑Resistant Authentication Protocols for Decentralized Web of Things Infrastructure
76 Real-Time Hybrid Physics–Neural Rendering for Immersive Virtual Environments
99 Zero‑Shot Cross‑Lingual Named Entity Recognition Using Knowledge‑Enhanced Transformer Architectures
136 Hybrid Graph Neural Networks and Explainable AI for Predicting Gene Regulatory Network Dynamics in Single‑Cell Transcriptomic Landscapes
153 Resilient Network Slicing Strategies Against Faults and Attacks in NFV-Based 5G Environments: A Machine Learning Approach to Adaptive Traffic Engineering
87 Real‑Time Neural Radiance Field Reconstruction for Immersive Mixed‑Reality Environments
109 Design and Evaluation of Energy-Aware, Heterogeneous Multi‑Processor Architectures for Low‑Power AI Inference
106 Federated Learning for Privacy‑Preserving Natural Language Processing on Resource‑Constrained Edge Devices
128 Composing Effectful Computations: A Dependent-Typed, Algebraic-Effects Framework for Incremental and Safe Concurrent Programming
95 Scalable Quantum Error Correction Codes Optimized for Fault‑Tolerant Surface Code Architectures
96 Designing Emotionally Intelligent User Interfaces for Inclusive Collaborative Virtual Workspaces
86 Hierarchical Bayesian Planning for Context-Aware Obstacle Avoidance in Legged Robotics
129 Dynamic Knowledge Graph-based Hybrid Retrieval: Balancing Efficiency, Explainability, and Fairness in Large-scale Document Search
99 Perceptually Optimized Neural Radiance Fields for Low‑Bandwidth Real‑Time Virtual Reality Streaming
107 Investigating Fine-Grained Lower Bounds for Approximate Counting in Sparse Constraint Satisfaction Problems
106 Formal Verification of Non‑Volatile Memory Ordering Guarantees in Next‑Generation Operating System Kernels
141 Securing Next‑Generation IoT: Designing Adaptive, Privacy‑Preserving Intrusion Detection via Federated Deep Learning and Differential Privacy
114 Multimodal Retrieval-augmented Transformer Architectures for Cross‑Lingual Few‑Shot Natural Language Understanding
118 End-to-End Joint Learning of Neural Radiance Fields and 3D Scene Geometry for High-Resolution Drone-Based Surveillance
143 Noise-Resilient Quantum Error Correction Codes for Near-Term Fault-Tolerant Architectures: Design, Analysis, and Implementation on NISQ Devices
131 Efficient Quantum Error Mitigation Techniques for Near‑Term Noisy Intermediate‑Scale Quantum Devices Using Adaptive Tensor Networks
128 Self‑Supervised Multi‑View Depth Estimation with Diffusion‑Based Geometry Priors for Low‑Light and Unreliable Imaging Conditions
135 Zero‑Shot Object Detection via Prompted Vision‑Language Models and Adaptive Knowledge Distillation for Large‑Scale Real‑World Scenarios
117 Hierarchical Graph Neural Networks for Robust 3D Reconstruction from Sparse RGB‑Depth Streams in Dynamic Environments
113 Human‑In‑The‑Loop AI for Real‑Time Bug Detection, Diagnosis, and Automated Repair in Large-Scale Software Systems
116 Deep Reinforcement‑Learning Driven Adaptive Indexing for Federated, Privacy‑Preserving Information Retrieval Systems
114 Hybrid Quantum–Classical Co-optimization for Resource-Efficient Variational Algorithms on Fault‑Tolerant Platforms
132 Emotion‑Aware Adaptive Interfaces for Collaborative Immersive Virtual Environments: Design, Evaluation, and Impact on Team Cognition
118 Cross‑Lingual Transferability of Multimodal Language Models for Zero‑Shot Sentiment Analysis in Low‑Resource Languages
101 Hybrid Quantum-Classical Routing Algorithms for Low-Latency 5G Millimeter-Wave Mesh Backhaul Networks
107 Adversarially Robust Federated Learning for Privacy‑Preserving Anomaly Detection in Industrial IoT Networks
90 Towards Robust Causality-Aware Federated Learning for Privacy-Preserving Edge Intelligence
126 Towards Universal Prompt Engineering for Low‑Resource Languages via Cross‑Lingual Meta‑Learning and Adaptive Data Augmentation
86 Fine‑Grained Complexity of Sparse Max‑Cut under the Strong Exponential Time Hypothesis
103 Hybrid Vision–LiDAR SLAM with Graph Neural Networks for Autonomous Drone Swarms in Dynamic Environments
111 Conflict‑Aware Automated Refactoring Chains for Evolutionary Maintenance in Large‑Scale Object‑Oriented Systems
97 Self‑Supervised Multi‑Modal Fusion for Robust 3D Object Recognition in Adverse Weather Conditions
117 Explainable Neural Commonsense Reasoning for Cross‑Lingual Question Answering Using Structured Knowledge Distillation
90 Adaptive Federated Learning for Privacy-Preserving Edge Intelligence in Smart IoT Networks
97 Cache‑Oblivious Parallel Data Structures for Scalable Graph Analytics on Multi‑Core Architectures
114 Designing Adaptive Multimodal Interfaces for Inclusive Digital Environments Through Context‑Aware Machine Learning
93 Causal Discovery in Large‑Scale Heterogeneous Graphs via Semi‑Supervised Contrastive Learning
99 Scalable Federated Multi‑Modal Knowledge Graph Embedding for Privacy‑Preserving Intelligent Systems
105 Zero‑Trust Orchestration of Decentralized IoT Devices Using Homomorphic Encryption and Federated Learning
96 Neural Retrieval of Multi‑Modal Documents with Adaptive Contrastive Learning and Query Expansion
145 Fine‑Grained Complexity and Time Lower Bounds for Counting Solutions to Boolean Constraint Satisfaction Problems with Bounded Variable Occurrence
109 Integrative Multi‑Modal Representation Learning for Real‑Time Autonomous Driving in Unstructured Environments
158 Design and Analysis of Federated Multi‑Task Learning Algorithms with Provable Privacy and Generalization Guarantees for Resource‑Constrained Edge Environments
80 Scalable Federated Learning with Differential Privacy Guarantees on Edge Devices
63 Neural‑Enhanced Real‑Time Ray Tracing for Immersive Simulations
83 Integrating Causality and Contrastive Learning for Explainable AI in Dynamic Graphs
105 Cache‑Aware Hierarchical Decomposition for Sublinear‑Time Dynamic Shortest Path Queries in Massive Graphs
113 Self‑Supervised Multi‑Modal Fusion Networks for Robust Zero‑Shot Action Recognition in Adverse Weather Conditions
104 Hybrid Symbolic–Neural Architectures for Context‑Aware Sentiment Analysis Across Multimodal Text Streams
129 Designing Adaptive Machine‑Learning driven Error Mitigation Protocols for Noise‑Resilient Near‑Term Quantum Supremacy Experiments
125 Graph-Based Deep Generative Modeling for Predicting Protein–Protein Interaction Interfaces in Human Immune Signaling Pathways
90 Entanglement-Enhanced Quantum Error Correction for Near-Term Superconducting Architectures
97 Designing Energy‑Efficient Heterogeneous Multi‑Core Architectures for Real‑Time Edge AI Inference
109 Co-Design of Photonic Interconnects and 3D-Integrated Logic for Ultra‑High Bandwidth, Low‑Latency Computation
113 Machine-Learning Guided Adaptive Consistency Protocols for Heterogeneous Edge‑Cloud Federated Distributed Systems
124 Quantum‑Resilient Federated Learning Frameworks for Secure Multi‑Party Collaboration across Heterogeneous Cloud Environments
130 Unifying Probabilistic Reasoning and Deep Representation Learning for Robust Few-Shot Generalization in Dynamic Autonomous Systems
101 Hybrid Variational Algorithms for Decoherence-Resilient Quantum Machine Learning on Near-Term Devices
93 Self-supervised Continual Learning for Adaptive Document Retrieval in Dynamic Knowledge Bases
123 “Toward a Formal, Machine‑Learning–Assisted Framework for Runtime Verification of Self-Adaptive Microservice Architectures”
116 Neural Scene Graphs for Joint Object Detection, Tracking, and Interaction Reasoning in Realistic Indoor Environments
70 Self-Adaptive Scheduling for Heterogeneous Multicore Real‑Time Systems
123 Contrastive Learning of Joint Text–Image Representations for Scalable Cross‑Modal Information Retrieval in Knowledge Graphs
67 Real-time Neural Radiance Fields for Immersive Virtual Environments
88 Learning‑Based Dynamic Memory Allocation for Energy‑Efficient Embedded Operating Systems
133 Graph Neural Network‑Enabled Detection and Automated Refactoring of Architectural Anti‑Patterns in Legacy Enterprise Software Systems
133 Enhancing Contextualized Information Retrieval in Low‑Resource Languages through Contrastive Learning and Knowledge Graph Integration
99 Self‑Adaptive Scheduling for Heterogeneous Real‑Time Operating Systems Using Reinforcement Learning
146 Designing Adaptive Cache Hierarchies for Energy‑Efficient High‑Performance Computing Using Machine–Learning Driven Placement and Eviction Policies
90 Unified Differentiable Rendering for Real-Time Photorealistic Virtual Reality Applications
85 Federated Learning with Adaptive Differential Privacy for Secure Healthcare Analytics
99 Hybrid Formal and Machine‑Learning Techniques for Runtime Verification of Adaptive Software Systems
75 Hybrid Non‑Volatile Memory Architectures for Low‑Power Edge AI Accelerators
58 Hybrid Succinct Indexing Schemes for Massive Graph Streams
83 Scalable Graph Query Processing over Federated, Multi‑Cluster Distributed Databases
92 Zero-Shot Cross-Lingual Narrative Generation via Hierarchical Graph Neural Language Modeling
120 Federated Learning of Private Retrieval Models: Balancing Accuracy and Differential Privacy Across Heterogeneous Devices
120 Hybrid Variational Quantum‑Classical Algorithms for Efficient Solving of Large‑Scale Combinatorial Optimization Problems
104 Hybrid Approximation and Exact Query Execution for Real‑Time Analytics in Distributed Columnar Databases
109 Adaptive, Self‑Optimizing I/O Scheduling in Cloud‑Based Virtualized Environments Using Reinforcement Learning
154 Adaptive Cross-Layer Optimization of 5G Ultra-Reliable Low‑Latency Communications Using Reinforcement Learning in Software‑Defined Networking Environments
126 Advancing Explainable Transfer Learning in Low‑Resource Multilingual Dialogue Systems through Structured Knowledge Integration
103 Learning-Driven Adaptive Index Selection for Cost-Efficient OLAP Queries in Cloud-Based Data Warehouses
79 Designing a Linear Type System for Concurrency Safety in Functional Programming
86 Privacy‑Preserving Federated Query Processing over Heterogeneous Multi‑Cloud Databases
88 Scalable Cache-Coherence Mechanisms for Nonvolatile Memory-Based Many‐Core Architectures
83 Automated Quality Assurance Governance for Microservices-Driven Software Ecosystems
96 Design and Analysis of Hybrid Consensus Protocols for Ultra‑Low Latency Geo‑Distributed Networks
137 Formal Foundations and Implementation Strategies for Incremental Type Inference in Large‑Scale Statically Typed Domain‑Specific Languages
113 Hierarchical Software‑Defined Control for Scalable, Secure Service Function Chaining in Multi‑Domain NFV Networks
100 Composable Effect Systems for Concurrent Functional Programming: Syntax, Semantics, and Verification
82 Towards Energy‑Aware Fault‑Tolerant Consistency in Decentralized IoT Mesh Networks
131 Deep Self‑Supervised Alignment of Cross‑Domain Visual Representations for Robust Zero‑Shot Object Detection in Dynamic Environments
114 Real‑Time Neural Rendering of Complex Scenes Using Diffusion‑Driven Radiance Fields on Heterogeneous Architectures
73 Energy‑Efficient 3D‑Integrated Cache Hierarchies for Edge AI Accelerators
132 Hybrid Formal‑Statistical Runtime Verification of Serverless Microservice Architectures for Early Failure Detection and Self-Healing
113 Adaptive AI-Driven Test Prioritization in Continuous Integration Pipelines for Complex Microservice Architectures
91 Integrative Graph Neural Networks for Multi‑Omics Disease Subtyping and Biomarker Discovery
86 Adaptive Memory Hierarchy Design for Low‑Power AI Workloads Using Near‑Data Processing
106 Hybrid Neural–Physical Modeling for Real‑Time Photorealistic Rendering in Interactive Virtual Environments
112 Adaptive Variational Quantum Algorithms with Resource‑Aware Circuit Compression for Noise‑Resilient NISQ Devices
106 Self‑Supervised Discovery of Causal Structures in Large‑Scale Time‑Series Data Using Graph Neural Networks
168 Dynamic, Real-Time Ray-Tracing for Large-Scale Virtual Environments Using Adaptive Volumetric Neural Radiance Fields and GPU-Accelerated Hierarchical Scene Partitioning
170 Optimizing Multi‑Layer Software‑Defined Networking for Low‑Latency Edge IoT Systems: A Machine Learning‑Driven Approach to Adaptive Path Selection and Resource Allocation
84 Adaptive Energy‑Aware Cache Hierarchies for Heterogeneous Deep Learning Accelerators
98 Symbolic‑Augmented Neural Architectures for Explainable Multi‑Task Few‑Shot Language Understanding
119 Energy‑Proportional Data‑Center Operating Systems via Predictive, Fine‑Grained Power Management and Adaptive Scheduling
100 Hybrid Sharding and State Machine Replication for Ultra‑Low Latency in Cross‑Cloud Federated Systems
125 Hybrid Deep Reinforcement Learning with Model Predictive Control for Real‑Time Obstacle Avoidance in Autonomous Mobile Robots
97 Decentralized Consensus Protocols with Adaptive Latency Guarantees for Multi‑Cloud Edge Computing
86 Hybrid Quantum-Classical Optimization for Large-Scale NP-Hard Problems on NISQ Devices
94 **Federated Knowledge Distillation for Privacy‑Preserving Cross‑Device Information Retrieval**
111 Designing Adaptive, Energy-Aware Real‑Time Scheduling Algorithms for Heterogeneous Multi‑Core Operating Systems
146 Design and Evaluation of Adaptive Hybrid Quantum-Classical Algorithms for Solving Large-Scale Combinatorial Optimization Problems on NISQ Hardware
123 An Explainable Graph Neural Network Framework for Real‑Time Anomaly Detection and Attribution in Industrial Control Systems
100 Fine‑Grained Reductions and Kernelization Lower Bounds for Subgraph Isomorphism in Minor‑Free Graphs
89 Hybrid External‑Memory and Succinct Data Structures for Ultra‑Large‑Scale Graph Analytics
132 Real‑Time Neural Radiance Field Rendering via Adaptive Sampling and Edge‑Aware Temporal Filtering for Immersive Virtual Environments
116 Hybrid Diffusion-Graph Neural Networks for Unsupervised 3D Scene Reconstruction from Sparse Multi‑View Video Streams
99 Composable Formal Semantics for Concurrent Functional Programming Languages with Weak Memory Models
125 Designing Adaptive Multi‑Agent Reinforcement Learning Systems for Decentralized Autonomous Control Under Resource Constraints
132 Multimodal Interaction Strategies for Enhancing User Understanding of Explainable Machine Learning Models in High‑Stake Environments
130 Adaptive Zero‑Trust Architectures Leveraging Federated Machine Learning for Real‑Time Threat Detection in Multi‑Cloud Environments
88 Fine-Grained Complexity of Sparse Graph Isomorphism via Matrix Multiplication Reductions
84 Toward Energy‑Efficient Byzantine Consensus for Heterogeneous Edge–Cloud Federations
98 Hybrid Symbolic‑Neural Architectures for Interpretable Autonomous Planning in Dynamic Environments
84 A Dependent Type System for Safe Concurrent Programming via Linear Logic Integration
147 Designing a Privacy‑Preserving Federated Blockchain for Secure IoT Device Authentication and Anomaly Detection in Industrial Cyber‑Physical Systems
117 Formalizing and Optimizing Gradual Typing in a Multi‑Paradigm, Domain‑Specific Language for Cloud‑Native Applications
135 Hybrid Deep-Learning and Model-Based Control for Real-Time Autonomous Navigation of Legged Robots in Unstructured, Dynamic Environments
84 Federated Learning‑Enhanced Retrieval Ranking under Differential Privacy Constraints
115 Adaptive AI‑Driven Intrusion Detection and Response in Multi‑Cloud Infrastructure Using Federated Transfer Learning
99 Scalable Multi‑Granularity Index Structures for Real‑Time Analytics on Highly Volatile Data Streams
113 Energy‑Aware Parallel Graph Algorithms with Adaptive Data Structures for Real‑Time Edge‑Weighted Network Analysis
127 Integrating Machine‑Learning–Based Predictive Risk Assessment into Agile Development Workflows for Enhanced Continuous Delivery
91 Real‑Time Differentiable Rendering for Physics‑Based Animation in Immersive Virtual Reality
126 Predictively Guided Continuous Integration and Delivery Using Reinforcement Learning for Complex, Distributed Software Systems
106 Designing Adaptive, Heterogeneous-Aware Hybrid OS Kernels for Secure, Multi-tenant Cloud Edge Environments
92 A Fault‑Tolerant, Energy‑Elastic Hybrid Reconfigurable Architecture for Edge AI Accelerators
93 Neural Rendering of Dynamic Scenes Using Implicit Representations and Learned Temporal Priors
105 Formal Verification and Automation for Dependently Typed Programming Languages Using Homotopy Type Theory
105 Fine-Grained Complexity and Hardness Separations for Randomized SAT Variants with Sublinear Preprocessing
98 Adaptive Consistency Models for Distributed Columnar Database Systems Using Reinforcement Learning
106 Graph Neural Network-Based Probabilistic Attribution of Advanced Persistent Threats in Enterprise Networks
123 Fine‑Grained Complexity of Subgraph Isomorphism in Bounded‑Degree Graphs and Its Implications for Database Query Evaluation
106 Adaptive Pulse Optimization for Quantum Gate Fidelity via Reinforcement Learning on Superconducting Qubits
106 Adaptive Consistency Models for Heterogeneous Edge‑Cloud Distributed Storage under Partial Network Failure
108 Reinforcement‑Learning–Driven Software‑Defined Multi‑Path Routing for Ultra‑Low‑Latency 5G Backhaul Networks
107 Machine Learning-Driven Automatic Index Selection for Real-Time Analytics in Columnar Distributed Databases
158 Developing Graph Neural Networks for Multi‑Omic Integration: Predicting Disease‑Relevance of Genetic Variants from Genomic, Transcriptomic and Epigenomic Data
94 Composable Verification of Dynamic Software Updates in Dependently‑Typed Programming Languages
123 Evaluating the Efficacy and Inclusivity of Multimodal Interaction Interfaces for Individuals with Autism Spectrum Disorders
106 Energy‑Optimal Co‑Design of Hybrid CPU‑Reconfigurable Accelerator Platforms for Machine Learning Workloads
90 Privacy‑Preserving Federated Learning for Real‑Time Malware Classification on Edge Devices
78 Explainable Hybrid Neural‑Graph Retrieval for Cross‑Lingual Information Search
118 Scalable Hybrid Quantum–Classical Algorithms for Solving Large-Scale Combinatorial Optimization Under NISQ Constraints
72 Zero‑Shot Cross‑Domain Object Detection via Unified Contrastive Learning
105 Secure and Scalable Anomaly Detection in Distributed IoT Ecosystems Using Federated Graph Neural Networks
84 Adaptive Model‑Driven Development for Self‑Optimizing Enterprise Software Ecosystems
129 Fine‑Grained Complexity of Subgraph Isomorphism Parameterized by Treewidth: Conditional Lower Bounds and Algorithmic Upper Limits
119 Energy‑Efficient Data‑Path Scheduling for Heterogeneous Many‑Core Architectures Under Speculative Execution Constraints
89 Reinforcement‑Learning Driven Adaptive Indexing for Real‑Time Analytics on Streaming Data
110 Designing Emotionally Adaptive Interfaces to Reduce Cognitive Load in Collaborative Virtual Reality Workspaces
92 Differentially Private Federated Graph Neural Networks for Scalable Social Network Analytics
119 Hybrid Vision Transformers with Diffusion-Based Priors for Zero‑Shot 3D Scene Reconstruction and Novel Object Discovery
79 Composable Verification of Parametric Polymorphism via Dependent Type Embedding
161 Deep Integrative Prediction of Tumor Microenvironment Heterogeneity through Multi‑Modal Omics and Spatial Transcriptomics Data Fusion using Explainable AI Models
94 Adaptive Multi-Modal Sensor Fusion for Real-Time Autonomy in Unstructured Robotic Environments
98 Quantum‑Enhanced Fault‑Tolerant Algorithms for Secure Multi‑Party Computation on Near‑Term Devices
114 Hybrid AI‑Assisted Refactoring: Combining Static Analysis with Reinforcement Learning to Optimize Legacy Codebases
108 Integrating Multi-Omics Data for Predictive Modeling of Gene Regulatory Networks Using Graph Neural Networks
105 Cache-Conscious Parallel Breadth-First Search for Billion‑Node Graphs on Heterogeneous Multi-Core Systems
106 Scalable Variational Quantum Algorithms with Adaptive Circuit Depth for Large‑Scale Machine Learning Tasks
116 Hybrid Quantum‑Classical Algorithms for Efficient Optimization on Near‑Term Noisy Intermediate‑Scale Quantum Devices
116 Quantum Hardness of Approximation for Sparse Graph Partitioning via Fine-Grained Complexity and ETH-Based Reductions
111 Formal Verification of Session-Type-Based Interoperability between Distributed Functional Programming Languages
122 Scalable Graph Neural Networks for Reconstruction of Pan‑Cancer Gene Regulatory Networks from Single‑Cell Multi‑Omics Data
74 Scalable Federated Multi‑Task Learning via Adaptive Sparse Representations
99 Adaptive, Machine‑Learning‑Guided Autonomic Indexing for Scalable Cloud‑Native Relational Databases
132 Physically‑Based Metamaterial Rendering Using Differentiable Ray Tracing and Neural Material Priors for Real‑Time Virtual Production
111 Neural‑Guided Adaptive Query Planning for High‑Performance Analytical Workloads in Distributed Database Systems
136 Hybrid Query Optimization: Integrating Machine‑Learning Models with Rule‑Based Engines for Efficient Multi‑Tenant Cloud Database Systems
93 Learning Robust End‑to‑End Navigation Policies for Mobile Robots in Unstructured Environments
72 Neuro-Enhanced Global Illumination via Learned Light Transport Operators
96 Privacy‑Aware Federated Information Retrieval Using Differentially Private Neural Ranking Models
129 Adaptive, Conflict-Aware Optimistic Concurrency Control for Large-Scale Multi-Tenant SQL Engines in Serverless Cloud Environments
141 Design and Evaluation of an Adaptive Coherent Cache Architecture for Heterogeneous Multi-Core Systems Targeting Energy-Efficient AI Workloads
111 Exploring Self‑Adapting DevOps Pipelines for Real‑Time Microservice Health Prediction and Automated Remediation
89 Towards Robust Quantum‑Resistant Public‑Key Cryptography for Secure Mobile Communications
104 Adaptive Consistency Management in Hybrid Edge‑Cloud Distributed Datastores Using Reinforcement Learning
92 Emotion-Aware Adaptive Interaction Systems for Inclusive Accessibility in Smart Environments
126 **Emotion-Aware Multimodal Interfaces for Inclusive Telepresence: Balancing Autonomy, Transparency, and Human‑Centric Design**
153 AI‑Enabled Architectural Decision Support for Microservice Systems: Predicting Long‑Term Maintainability with Machine Learning and Runtime Feedback Loops
133 Integrative Deep Learning Frameworks for Predictive Modeling and Interpretation of Multi‑Omics Genomic Landscapes in Complex Diseases
134 Toward Adaptive Multi‑Modal Generative AI: Unified Representation Learning for Vision, Language, and Audio in Self‑Supervised Settings
84 Self-Supervised Transformers for 3D Scene Reconstruction from Sparse RGB-D Sequences
119 Emotion‑Adaptive Conversational Interfaces via Multimodal Physiological Sensing for Enhanced Human–Computer Interaction
80 Adaptive Multimodal Interaction Models for Emotion‑Responsive Virtual Assistants
115 Hybrid Neural–Symbolic Architectures for End‑to‑End Program Synthesis with Human‑in‑the‑Loop Interpretable Guidance
92 Design and Verification of an Algebraic Effect‑Based DSL for Safe Concurrent Data Structures

Finally, we store the names, institutes and PhD topics to a csv file.

# Create DataFrame and save CSV
df = pd.DataFrame(profiles)
df.to_csv("phd_topics.csv", index=False)

df.head()

	name	research_field	topic
0	Taylor Reed	Software Engineering	Runtime Verification of Adaptive Microservice ...
1	Riley Jain	Robotics	Learning‑Based Resilient Coordination of Heter...
2	Taylor Adams	Computer Vision	Unsupervised Spatiotemporal Representation Lea...
3	Devon Thomas	Machine Learning	Uncertainty‑Aware Reinforcement Learning for A...
4	Alex Lee	Computational Complexity	Fine‑Grained Complexity of Dynamic Subgraph Is...