S Technologies ▸
S Technologies (STechBD.Net) is a research-based technology company in Bangladesh.
SHEMULUNIVERSEThis site describes itself to search engines as a schema.org knowledge graph — one Person node, and every company, book, program, and paper hanging off it by an @id edge. Nobody has ever seen it. So it is drawn here as a star system: the person is the star, each node bound to him is a world, and an orbit is an edge. The same map a crawler reads, flown.
Every world runs on real Keplerian elements integrated from today’s date, so the system is never in the same configuration twice. What follows is that system, written down.
Md. Ashraful Alam Shemul is a Bangladeshi Muslim software engineer, author, researcher, educator, and entrepreneur. He earned his Bachelor’s degree in Fisheries from Bangladesh Maritime University. Shemul is the founder of S Technologies, Ulkaa, and Shikkha Web. He has written several books, including Aspect Physics, Aspect ICT, and MaritimeKnowledge.
Companies founded. In the graph these are Organization nodes with a `founder` edge back to the star.
S Technologies (STechBD.Net) is a research-based technology company in Bangladesh.
Ulkaa is an all-in-one digital ecosystem that connects you to the world, offering a dynamic social media experience alongside a diverse range of services.
Shikkha Web is an educational platform designed for students in Bangladesh. Here you will find textbooks, exam preparation materials, and other educational resources.
Books written. Book nodes, bound by an `author` edge.
University admission guide
University admission guide
University admission guide
Shipped software. SoftwareApplication nodes — the most numerous class, and so a belt.
Next.js · PayloadCMS · Tailwind · Motion
C# · .NET · Deep Learning
Publications and manuscripts. ScholarlyArticle nodes, far out and slow — and the only bodies carrying a real year, so they are the ones the clock brings into being.
Fuses satellite-derived oceanographic fields with ecological variables to locate and forecast Potential Fishing Zones — turning remote-sensing signals into actionable, sustainable harvest guidance.
A cross-basin, multi-season comparison of oceanographic parameters using satellite data and ML — characterizing the seasonal fingerprints of three distinct marine systems.
Field survey of plankton community structure in Chakaria, linking diversity and density to physicochemical water parameters — a foundation for productivity assessment in coastal aquaculture.
Hypsometric and morphometric analysis of the Sangu River basin quantifies geomorphic change and land-use dynamics from remotely sensed data.
Built a conversational deep-learning model trained on a domain-specific fisheries dataset — bridging aquatic science knowledge with natural-language interaction.
32 ImageObject nodes, scattered far past the research orbits — too distant and too numerous to name here. Open the gallery ▸