M.Tech submission material connected to the GFIS industry programme.

GFIS is being developed as a Chatake Innoworks / GreenWorks industrial intelligence platform. The dissertation phase records the academic research track around physics-guided AI, methane-yield prediction, VFA/ALK soft sensing and digital-twin-ready anaerobic digestion.

Academic guidance and evaluation

Professional acknowledgement

Dr. Dipti JadhavAcademic guide for the dissertation phase. Her guidance supports the formal M.Tech research framing, submission discipline and scientific direction.

Prof. G. Mohana MuraliMid-semester evaluator as recorded in the official BITS evaluation file under the evaluator account mohanamurali.g. His feedback is treated as an engineering improvement input: clearer evidence, visible assumptions and reduced black-box ML behaviour.

Guide profile attachment Official mid-semester report context

Controlled submission shelf

Reports, presentations and evidence

Public academic documents remain separated from research artifacts under active peer-review embargo. The controlled internal research record is not exposed from this shelf.

Accepted abstract Mid-semester report End-semester report working draft Dissertation presentation PDF Dissertation presentation PPTX Controlled documentation shelf Scientific evidence website Evaluator response and changes made

Dataset attachments

Dataset section and evidence files

DS-05 is the methane-capable research-reactor time-series used for temporal experiments. DS-06 is the full-scale Muscatine WRRF industrial SCADA source for total-biogas process replay. The raw DS-06 CSV remains in the SSD dataset folder because it is large; the website links its manifest and evidence page.

Dataset registry Dataset catalogue DS-05 canonical methane dataset DS-05 processing manifest DS-06 SCADA index manifest Industrial data evidence page