At a time when India is strengthening its semiconductor ambitions, IIIT-H’s researchers are developing indigenous electronics – from custom chip design and millimetre-wave circuits to privacy-preserving sensing and intelligent healthcare systems – that move seamlessly from the lab to real-world deployment. In an age where governance, healthcare and mobility increasingly rely on data, how that data is sensed, processed and protected matters deeply. Visual dashboards, spatial maps and intelligent systems have become essential tools for decision-making, but behind every such system lies something less visible and far more fundamental: electronics. At IIIT-H, the Integrated Circuits – Inspired by Wireless and Biomedical Systems, IC-WiBES research group led by Prof. Abhishek Srivastava, is rethinking how electronic systems are designed; not as isolated chips, but as end-to-end technologies that move seamlessly from silicon to real-world deployment. The group follows a simple but powerful philosophy: vertical integration from chip design to system-level applications.

The researchers used OLAP to analyse 3,500 Indian criminal cases, covering judgements delivered between 2005 and 2010. Wide variations in sentencing for similar crimes across Indian courts has raised concerns on consistency and fairness in the justice delivery system, with punishments for offences such as murder, rape and kidnapping differing significantly depending on the state, the court and the judge’s discretion, despite the same legal framework applying nationwide. The findings come from a research paper – ‘Data Cube for Exploring Anomalies in Justice Delivery: An Experiment on Indian Judgements’ by IIIT-H researchers Sriharshitha B, Prof Krishna Reddy P and Narendra Babu U, in collaboration with Prof Santhy KVK, NALSAR. The study uses data analytics to uncover anomalies in Indian court judgements. The researchers demonstrate how sentencing for comparable crimes can differ markedly depending on factors such as location and interpretation, underscoring the need for data-driven tools to identify and address such disparities.

iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling early-career women engineers. Designed for women graduates who have completed their engineering degrees in the last few years, the program targets participants from Hyderabad and nearby regions seeking advanced knowledge and research-oriented skills in AI and ML. The program combines strong theoretical grounding with hands-on tutorials and applied learning experiences. Classes will be held every Monday at the IIIT Hyderabad campus, offering participants a collaborative and immersive academic environment. The curriculum spans both classical and contemporary AI/ML techniques, equipping learners with problem-solving skills relevant to industry as well as research applications. Speaking on the initiative, Dr C K Raju, Head of Educational Programs at iHub-Data, noted that the continuing education programs offered by the hub have seen strong outcomes in the past.