Seminar Topics List For CSE Students (2026)

In the rapidly shifting landscape of Computer Science and Engineering (CSE), staying at the cutting edge of technological innovation is essential for both academic excellence and future career trajectory. A technical seminar is not just a curriculum requirement; it is a powerful opportunity for students to explore emerging trends, showcase deep technical understanding, and present breakthrough ideas. Preparing a technical presentation allows future engineers to simplify complex concepts, demonstrate industry awareness, and build a competitive professional portfolio.

To help you choose an impactful, research-rich topic, we have curated the top 15 CSE seminar topics for 2026, logically structured across four key domains: Frontier AI & Intelligent Architectures, Decentralized Security & Trust Infrastructure, Next-Gen Runtimes & Distributed Edge Systems, and Brain-Inspired Computing & AI Governance.

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Domain 1: Frontier AI & Intelligent Architectures

Artificial intelligence has moved beyond basic pattern recognition. This domain covers the structural frameworks and specialized data architectures that enable autonomous actions, multimodal perception, and real-time knowledge retrieval.

1. Agentic AI: The Rise of Autonomous AI Systems

• The Technology: Agentic AI represents a paradigm shift from conversational chatbots to autonomous systems capable of setting their own sub-goals, planning multi-step actions, and executing complex workflows with minimal human oversight.
• Why It Matters: These systems can handle open-ended tasks end-to-end—such as browsing the web, writing and executing code, and orchestrating software pipelines.
• Architectures & Frameworks: This topic explores autonomous agent loops, tool-use integration, dynamic memory management, and deployment frameworks like AutoGPT, LangGraph, and OpenAI Swarm, alongside the critical challenges of safety and human alignment.

2. Large Language Models (LLMs): Architecture, Fine-Tuning & Deployment

• The Technology: Billion-parameter models have transformed how software is developed, knowledge is managed, and human-computer interaction is designed.
• Why It Matters: Moving beyond off-the-shelf APIs, organizations are racing to build, specialize, and deploy domain-specific models tailored to proprietary data.
• Architectures & Frameworks: This seminar topic dives into the core transformer architecture, pre-training methodologies, and specialization techniques such as instruction tuning, Reinforcement Learning from Human Feedback (RLHF), and parameter-efficient fine-tuning (LoRA and QLoRA). It also addresses optimization challenges including quantization, distillation, and efficient inference.

3. Vision Transformers (ViT) and Multimodal AI

• The Technology: Vision Transformers have challenged the long-standing dominance of Convolutional Neural Networks (CNNs) in image processing by applying self-attention mechanisms directly to divided image patches, paving the way for models that natively unify vision and language.
• Why It Matters: Modern multimodal systems can reason across text, images, and video files simultaneously, enabling far more sophisticated environmental perception.
• Architectures & Frameworks: This topic covers the technical design of ViT patch embeddings, scaling laws, contrastive learning paradigms like CLIP, and multimodal architectures such as GPT-4V, Gemini 1.5, and LLaVA, with applications spanning medical imaging and autonomous vehicle vision.

4. Vector Databases and Retrieval-Augmented Generation (RAG)

• The Technology: RAG bridges the gap between static model weights and live, dynamic data by connecting a generative model to an external, semantic-searchable knowledge base without requiring expensive retraining.
• Why It Matters: It eliminates model hallucinations and provides verifiable, source-grounded answers for enterprise-grade AI applications.
• Architectures & Frameworks: This seminar explores embedding models, approximate nearest-neighbor search algorithms (such as HNSW and IVF-PQ), chunking strategies, re-ranking pipelines, and the specialized vector databases that power them, including Pinecone, Weaviate, Chroma, and pgvector.

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Domain 2: Decentralized Security & Trust Infrastructure

With the expansion of cloud services and the advent of quantum computing, traditional cybersecurity boundaries have dissolved. This domain examines the cryptographic and architectural frameworks securing modern digital assets.

5. Quantum Computing and Post-Quantum Cryptography (PQC)

• The Technology: Quantum computers harness the physical principles of superposition and entanglement to perform calculations exponentially faster than classical systems, threatening to break traditional public-key encryption.
• Why It Matters: The transition to quantum-resistant infrastructure is an urgent national security and enterprise priority, highlighted by the finalization of the first official post-quantum standards.
• Architectures & Frameworks: This topic focuses on qubits, quantum gates, the threat of Shor’s algorithm to RSA, and the implementation of newly established NIST post-quantum cryptographic standards like CRYSTALS-Kyber and CRYSTALS-Dilithium.

6. Zero Trust Architecture: Security Beyond the Perimeter

• The Technology: Zero Trust abandons the classic "castle-and-moat" perimeter security model in favor of a continuous "never trust, always verify" verification protocol for every user, device, and request.
• Why It Matters: Cloud migration, remote workforces, and sophisticated supply chain attacks have made static perimeter defenses obsolete.
• Architectures & Frameworks: This topic covers the five foundational pillars of Zero Trust (identity, devices, networks, applications, and data), micro-segmentation, identity-aware proxies, behavioral analytics, and real-world implementations guided by frameworks like NIST SP 800-207.

7. Decentralized Identity and Self-Sovereign Identity (SSI)

• The Technology: SSI is an identity framework that gives individuals complete ownership and cryptographic control of their digital credentials, removing reliance on centralized corporate identity providers.
• Why It Matters: It provides a privacy-first approach to global authentication, enabling users to share authenticated credentials without exposing unnecessary personal data.
• Architectures & Frameworks: This seminar dives into the W3C Decentralized Identifiers (DIDs) specification, Verifiable Credentials (VCs), zero-knowledge selective disclosure (proving age without revealing birthdates), secure digital wallets, and regional trust registries like the EU Digital Identity Wallet.

8. AI-Powered Cyberattacks and Adversarial Machine Learning

• The Technology: As machine learning protects systems, it is also being weaponized to bypass defenses, generate automated phishing campaigns, clone voices, and conduct model-targeted evasion attacks.
• Why It Matters: Understanding how AI models can be manipulated is critical to designing secure, resilient software systems.
• Architectures & Frameworks: This topic covers adversarial examples (crafting minute perturbations to mislead classifiers), training data poisoning, model inversion attacks, prompt injection, and defensive engineering practices, including adversarial training, certified defenses, and AI red-teaming.

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Domain 3: Next-Gen Runtimes & Distributed Edge Systems

As application requirements demand lower latencies and smaller footprints, software engineering is moving toward optimized execution runtimes and lightweight deployment architectures.

9. Edge Computing and Real-Time Intelligence at the Network Edge

• The Technology: Edge computing shifts computation and storage out of centralized data centers and physically closer to the data source, such as factory floors, autonomous vehicles, or smart cities.
• Why It Matters: It eliminates cloud round-trip latency, conserves network bandwidth, and keeps sensitive data localized for improved privacy.
• Architectures & Frameworks: This topic explores the tiered relationships between cloud, fog, and edge architectures; local edge AI inference; the orchestration of massive, distributed edge nodes using Kubernetes; and hardware platforms like AWS Wavelength, Azure Edge Zones, and NVIDIA Jetson.

10. Real-Time Data Streaming with Apache Kafka and Flink

• The Technology: Modern systems require processing massive data flows instantaneously as events occur, moving away from legacy batch-processing cycles.
• Why It Matters: Real-time analytics are essential for fraud detection, live telemetry dashboards, and instant user personalization.
• Architectures & Frameworks: This seminar covers the pub-sub messaging model, distributed partitioning, event log streaming, stream-table duality, stateful stream processing with exactly-once semantic guarantees, and the enterprise architectures built around Apache Kafka and Apache Flink.

11. WebAssembly (WASM): The Future of Portable High-Performance Computing

• The Technology: Originally designed to run compiled languages like C, C++, Rust, and Go inside web browsers at near-native speeds, WebAssembly has expanded into a universal, secure runtime for cloud-native and serverless environments.
• Why It Matters: It provides an ultra-lightweight, high-performance alternative to traditional containerization, boasting millisecond-level cold starts.
• Architectures & Frameworks: This topic reviews the WASM compilation pipeline, its isolated sandboxing security model, the WebAssembly System Interface (WASI) standard, the component model for modular software, and edge deployments using platforms like Cloudflare Workers and Fastly Compute@Edge.

12. Unikernels and the Future of Minimal, Purpose-Built Operating Systems

• The Technology: Unikernels represent a radical simplification of cloud deployment by compiling a single application and only the exact operating system drivers it requires into a single, immutable, highly secure bootable image.
• Why It Matters: Removing legacy operating system overhead drastically reduces memory footprints, boot times, and potential attack vectors.
• Architectures & Frameworks: This topic explores the core design philosophy of library operating systems, compares unikernels against standard virtual machines and containers, and examines open-source unikernel projects like MirageOS, Unikraft, and OSv.

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Domain 4: Brain-Inspired Computing, Federated Systems & Ethical AI Governance

This domain covers the intersection of physical hardware innovation, decentralized model training, and the societal and legal guardrails defining modern computer science.

13. Federated Learning: Privacy-Preserving Distributed AI

• The Technology: Federated Learning trains artificial intelligence models across millions of decentralized devices—such as smartphones or hospital servers—without ever centralizing or exposing raw user data.
• Why It Matters: It resolves the core friction between AI's appetite for training data and strict, modern data privacy regulations.
• Architectures & Frameworks: This seminar investigates the FedAvg algorithm, data aggregation over heterogenous networks, communication efficiency optimization, differential privacy, secure multi-party computation, and real-world implementations like Google’s Gboard.

14. Neuromorphic Computing: Brain-Inspired Chips for the AI Era

• The Technology: Neuromorphic computing moves away from traditional, power-hungry von Neumann architectures to silicon chips that mimic the biological structures of the human brain.
• Why It Matters: These processors utilize event-driven, spiking neural networks to achieve massive reductions in energy consumption, opening up always-on, local AI possibilities.
• Architectures & Frameworks: This topic explores Spiking Neural Networks (SNNs), Spike-Timing-Dependent Plasticity (STDP) for physical on-chip learning, in-memory computing paradigms, and pioneer hardware platforms like Intel’s Loihi 2, IBM’s NorthPole, and BrainScaleS.

15. Responsible AI: Bias, Fairness, and the Regulation Landscape

• The Technology: As automated decision-making scales across industries like lending, healthcare, and hiring, the math behind algorithmic fairness and transparency has become a critical engineering focus.
• Why It Matters: Modern software engineers must design systems that comply with strict emerging AI laws and provide explainable results.
• Architectures & Frameworks: This seminar examines the origins of algorithmic bias in data pipelines, mathematical fairness metrics (such as demographic parity and equalized odds), model explainability tools (like SHAP, LIME, and attention maps), and the global regulatory landscape, including the EU AI Act (2024), the US Executive Order on AI Safety, and the NIST AI Risk Management Framework (RMF).

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Strategic Guide: How to Select and Deliver Your CSE Seminar

Succeeding in your technical seminar requires a careful combination of topic alignment and clear, architectural delivery.

Selecting the Right Topic

1. Look for System-Level Depth: Choose a topic that has a clear architectural pipeline or algorithmic flow. Purely conceptual or coding-free topics often lack the technical depth required to impress a computer science faculty panel.
2. Narrow Your Scope: Avoid broad, generic topics (e.g., "Introduction to Cybersecurity"). Instead, focus on a precise technology (e.g., "Zero Trust Architecture using NIST SP 800-207").
3. Confirm Research Material: Ensure there are sufficient, high-quality IEEE papers, technical documentations, and system design diagrams available before committing to a topic.
4. Map Problem to Solution: Select a technology that has a clear motivation—a specific problem in traditional computing that this new tech directly solves.

Delivering an Exceptional Presentation

• Start with a Clear Problem Statement: Open your seminar by defining the precise limitations of current, traditional approaches before introducing your chosen technology.
• Use High-Quality Architecture Diagrams: Include block diagrams, layered architectures, and system pipeline workflows. Walking through an architectural flow is much more effective than reading bullet points.
• Explain the Algorithmic Workflow: Walk your audience step-by-step through how data flows through the system, using concrete examples or scenarios.
• Compare and Contrast: Include a comparative analysis table contrasting the new proposed technology against existing methods. Focus on quantifiable performance metrics like latency, memory footprint, security overhead, or throughput.
• Structure for Time: Aim for a professional 10–15 slide deck tailored for an 8–12 minute talk. Ensure you have a clear introduction, technical working model, real-world application cases, limitations, and a solid conclusion followed by a brief Q&A session.

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Conclusion

A technical seminar is a cornerstone of your computer science engineering education. It challenges you to dive deep into industry-defining innovations, translate abstract mathematical concepts into visual workflows, and articulate technical ideas with professional clarity. By choosing one of these 15 structured, cutting-edge topics, you will build a powerful, forward-looking foundation for your final-year project, research publications, and future engineering career.

For The Year 2026 Published Articles List click here

…till the next post, bye-bye & take care

 

Seminar Topics List For ECE Students (2026) - 02

As the boundaries of classical silicon and traditional wireless networking continue to expand, modern Electronics and Communication Engineering (ECE) is undergoing a profound transformation. Beyond the foundations of 6G protocols and cognitive artificial intelligence at the edge, the industry is entering an era defined by photonic architectures, deep-sub-nanometer VLSI nodes, dynamic electromagnetics, and mathematically rigorous digital signal processing.

Whether you are preparing a major seminar, structuring an academic curriculum, or looking to catch the attention of recruiters in specialized high-tech industries, this curated list explores topics 22 through 49 from our comprehensive guide, organized into four cutting-edge technical domains.

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Domain 4: Photonics & Optical Systems

With electrons hitting physical latency and thermal limitations, light-based computing and communication offer the ultimate bandwidth and speed solutions for future high-speed networks.

22. Photonic Integrated Circuits (PIC)

• The Technology: Photonic Integrated Circuits integrate multiple optical components—such as lasers, detectors, and waveguides—directly onto a single, compact microchip.
• Why It Matters: By replacing electrical signals with light, PICs dramatically reduce physical size and power consumption. They are highly instrumental in enabling next-generation, high-speed optical communication systems across telecom networks.

23. Silicon Photonics for Data Centers

• The Technology: Silicon photonics leverages standard silicon manufacturing processes to transmit data using light waves rather than traditional copper wiring.
• Why It Matters: Inside massive modern data centers, this technology significantly boosts data transmission speeds while simultaneously reducing heat generation and overall energy usage. It serves as a vital pillar supporting the explosive growth of global cloud computing.

24. Quantum Key Distribution (QKD)

• The Technology: QKD utilizes the fundamental laws of quantum mechanics to establish secure communication channels by sharing cryptographic keys.
• Why It Matters: Because any attempt to intercept or measure a quantum state alters the state itself, QKD can instantly detect eavesdropping. This provides an absolute, ultra-secure level of encryption crucial for national defense, high finance, and banking networks.

25. Free-Space Optical Communication

• The Technology: Free-space optics transmits high-speed data wirelessly through the air using modulated light beams (lasers) instead of radio waves.
• Why It Matters: It provides extremely fast wireless links that are ideal for point-to-point connections between tall buildings or satellites. However, its real-world performance remains highly dependent on local weather conditions, such as fog and rain.

26. Plasmonic Devices

• The Technology: Plasmonic devices manipulate light at the nanoscale by exploiting the interaction between electromagnetic waves and free electrons at metal-dielectric interfaces.
• Why It Matters: By squeezing light far below its conventional diffraction limit, plasmonics enables the creation of ultra-compact optical components. This significantly improves sensing sensitivity, proving highly valuable in advanced medical biosensors.

27. Optical Neural Networks

• The Technology: This computing architecture replaces electrical transistors with light paths to perform the matrix multiplications required by machine learning models.
• Why It Matters: Optical neural networks offer lightning-fast processing speeds with only a fraction of the energy consumed by electronic systems, representing a major leap forward for hardware-level AI acceleration.

28. Lidar with Photonic Chips

• The Technology: This innovation integrates Light Detection and Ranging (LiDAR) systems directly onto miniature, chip-scaled photonic platforms.
• Why It Matters: Transitioning LiDAR to a solid-state photonic chip drastically reduces the size, cost, and moving parts of object-detection systems. This makes them highly reliable and accessible for the mass deployment of autonomous vehicles.

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Domain 5: VLSI & Semiconductor Tech

As physical limits challenge Moore’s Law, semiconductor fabrication and chip-level architecture must evolve. These topics explore how engineers pack more computing power into microprocessors.

29. 2nm Process Technology

• The Technology: The 2nm node represents the frontier of semiconductor fabrication, utilizing highly complex transistor architectures to pack more gates onto a single die.
• Why It Matters: It enables smaller, faster, and far more energy-efficient transistors, drastically improving processor performance while curbing power requirements in premium consumer and enterprise devices.

30. Chiplet-Based Architectures

• The Technology: Instead of fabricating a single, massive monolithic chip, this architecture breaks a design down into smaller, specialized functional dies (chiplets) that are tightly co-packaged.
• Why It Matters: Chiplet designs greatly improve manufacturing yield and design flexibility. By mixing different fabrication nodes within a single package, manufacturers can significantly drive down overall production costs.

31. 3D IC Stacking

• The Technology: 3D IC stacking places multiple active silicon dies vertically on top of one another, utilizing high-density vertical interconnects to link them.
• Why It Matters: Vertical stacking significantly reduces the physical length of interconnects, boosting overall signal propagation speeds and lowering power consumption. It is a critical enabler for modern high-bandwidth memory and high-performance AI processors.

32. Beyond-CMOS Devices

• The Technology: Beyond-CMOS research explores radical alternatives to standard silicon-based Field Effect Transistors (FETs), such as spintronic logic and quantum-dot devices.
• Why It Matters: As silicon reaches its ultimate atomic scaling limits, these alternative physical mechanisms target extreme computational efficiencies to power the computing infrastructure of the next generation.

33. EUV Lithography Advances

• The Technology: Extreme Ultraviolet (EUV) lithography uses ultra-short wavelengths of light to print incredibly fine, nanometer-scale circuit patterns onto silicon wafers.
• Why It Matters: Continuous advances in EUV lithography are what make the fabrication of dense sub-3nm transistors commercially viable, sustaining the progress of cutting-edge semiconductor manufacturing.

34. Analog AI Compute

• The Technology: Analog AI computing performs neural network matrix-vector math using the physics of analog circuits and non-volatile memory cells rather than traditional digital gates.
• Why It Matters: By eliminating the constant data shuttle between memory and processors, analog computing cuts power consumption and speeds up mathematical execution, making it incredibly useful for edge AI hardware.

35. Power Delivery Networks

• The Technology: These networks are dedicated systems within a chip designed to distribute stable voltage and current uniformly to billions of on-chip transistors.
• Why It Matters: As chip power density skyrockets, robust power delivery network design is vital to prevent localized voltage drops, which can lead to computational errors or chip instability in high-performance computing environments.

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Domain 6: RF, Microwave & Antenna Design

High-frequency communication requires highly directional, intelligent, and efficient electromagnetic systems. These topics explore how signals are steered and captured.

36. mmWave Phased Arrays

• The Technology: Millimeter-wave (mmWave) phased arrays use a matrix of antennas to dynamically steer electromagnetic beams electronically without physical movement.
• Why It Matters: They are essential for high-speed 5G and 6G networks, enabling highly directional communication links that maximize data rates while minimizing local signal interference.

37. Metamaterial Antennas

• The Technology: These antennas incorporate artificially engineered materials possessing unique electromagnetic properties not found in nature.
• Why It Matters: Metamaterials allow designers to build remarkably compact antennas with exceptionally high gain and precise radiation control, which is crucial for modern, space-constrained wireless platforms.

38. Frequency-Reconfigurable Antennas

• The Technology: These adaptive antennas can dynamically alter their physical operating frequency to adapt to changing network demands in real-time.
• Why It Matters: They allow a single antenna structure to support multiple communication bands, eliminating the need to pack multiple separate antennas inside modern, compact mobile devices.

39. MIMO Antenna Systems

• The Technology: Multiple-Input Multiple-Output (MIMO) utilizes multiple antennas at both the transmitter and receiver to send and receive several data signals simultaneously.
• Why It Matters: MIMO significantly boosts spectral efficiency, increases overall data rates, and improves link reliability by mitigating the destructive effects of signal fading in complex environments.

40. RFID and NFC Innovations

• The Technology: Radio Frequency Identification (RFID) and Near Field Communication (NFC) govern short-range wireless communication using magnetic inductive coupling.
• Why It Matters: Innovations in this space are continually extending communication range and bolstering security protocols, paving the way for advanced contactless payments, supply chain tracking, and smart IoT device provisioning.

41. Radar Cross-Section Reduction

• The Technology: This engineering field focuses on reducing the radar signature of an object through specialized physical shaping and the application of radar-absorbing materials.
• Why It Matters: It is a core tenet of stealth technology, dramatically minimizing detectability to safeguard advanced defense systems and aircraft from enemy radar tracking.

42. Beam-Steering Arrays

• The Technology: Beam-steering arrays actively focus and direct wireless energy toward specific target users rather than broadcasting signals in all directions.
• Why It Matters: By optimizing spatial signal delivery, electronic beam-steering maximizes signal-to-noise ratios and enhances coverage density in satellite systems and emerging 6G architectures.

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Domain 7: Signal Processing & DSP

Mathematics is the silent engine behind all electronic systems. Digital Signal Processing (DSP) algorithms translate noisy, real-world data into clear digital information.

43. Sparse Signal Reconstruction

• The Technology: This algorithmic method reconstructs complete, high-fidelity signals using only a tiny fraction of the mathematical samples traditionally required.
• Why It Matters: By drastically reducing the data acquisition overhead, sparse reconstruction significantly accelerates processes like medical MRI scans and enhances overall hardware efficiency.

44. Adaptive Filtering Algorithms

• The Technology: These filters dynamically adjust their internal mathematical coefficients in real-time to respond to changing input signal characteristics.
• Why It Matters: They are essential for isolating target signals from noisy environments, making them highly effective for applications like active acoustic echo cancellation and audio enhancement.

45. Compressive Sensing

• The Technology: Compressive sensing mathematical protocols sample signals well below the classic Nyquist rate while still guaranteeing flawless reconstruction.
• Why It Matters: It minimizes the local hardware storage and computation demands required during data capture, proving highly beneficial in low-power digital imaging and remote sensor networks.

46. Deep Learning for Audio Processing

• The Technology: This field involves using neural networks to analyze, enhance, and translate acoustic wave patterns.
• Why It Matters: It has revolutionized speech recognition, smart voice assistants, and audio analytics, allowing real-time noise reduction and vocal enhancement in everyday applications.

47. Multi-Rate Signal Processing

• The Technology: This methodology processes digital signals using multiple distinct sampling rates within a single digital signal processing (DSP) system.
• Why It Matters: It dramatically optimizes computational efficiency inside communication receivers, ensuring hardware resources are preserved while reducing processing latency.

48. Cyclostationary Signal Analysis

• The Technology: This advanced statistical signal processing tool detects periodic, cyclic statistical features hidden within highly noisy random signals.
• Why It Matters: It is a key tool in cognitive radio systems, helping devices automatically recognize signal modulation schemes and sense active spectrum frequencies.

49. Underwater Acoustic Processing

• The Technology: This specialized field designs algorithms to process sound waves traveling through highly challenging underwater environments.
• Why It Matters: Because radio waves degrade rapidly in water, acoustic processing is vital for sonar detection systems and ocean monitoring arrays, helping to manage severe multipath interference and background marine noise.

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Academic Guidance: Selecting and Presenting Advanced Seminar Topics

As you transition to more advanced, mathematically and physically intense domains, how you prepare and deliver your seminar becomes crucial to your academic and professional evaluation.

Choosing the Right Topic

1. Scope Properly: Avoid choosing a topic that is too vast. Instead of attempting to cover "Photonics," focus explicitly on a specialized technology like "Silicon Photonics for Data Centers" to provide actual depth.
2. Verify Supporting Materials: Advanced topics require substantial visual representation. Make sure you can source high-quality block diagrams, fabrication cross-sections, or algorithmic flowcharts before locking in your selection.
3. Faculty and Peer Review: Ensure you present your chosen topic to your department advisor or faculty to align your technical depth with academic expectations.

Delivering an Impactful Presentation

• Use Visual Frameworks: For complex DSP algorithms or semiconductor processes, replace dense text with clear, step-by-step block diagrams or physical layer diagrams.
• Provide Practical Context: Always tie the theoretical physics or mathematics back to a practical, real-world application. For example, explain why "Quantum Key Distribution" is vital to current banking infrastructure.
• Structure Your Timeline: Structure your presentation for a professional 8–12 minute delivery, utilizing 10–15 slides. Maintain a clean slide structure: a robust introduction, physical or mathematical working principles, practical applications, advantages, clear limitations, and a strong conclusion, followed by a Q&A session.
• Communicate with Confidence: Speak slowly, maintain steady eye contact with your evaluation panel, and translate highly complex technical jargon into simple, digestible analogies.

 

For The Year 2026 Published Articles List click here

…till the next post, bye-bye & take care