Technology, Space

ISRO & Chandigarh University Launch Month-Long Space Research Program

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June 17, 2026 by Ivy Delaney

From June 15 to July 11, 2026, scientists from the Indian Space Research Organisation, the Indian Institute of Space Science and Technology, and the Semiconductor Laboratory are directly mentoring students and research scholars at Chandigarh University’s Kalpana Chawla Centre. The month-long KCC Space Technology & Research Program aims to bolster space technology education and research through intensive, hands-on training. Dr. S Sudhakar, Deputy Director, U R Rao Satellite Centre, ISRO, served as Chief Guest at the launch, emphasizing the critical role of science and technology in India’s development and the importance of developing technology within India for success in the rapidly evolving space sector.

ISRO-Chandigarh University Program Launches Space Technology & Research Initiatives

This initiative offers hands-on exposure to the technologies shaping India’s space capabilities. The launch event featured prominent ISRO leadership, including Dr. S Sudhakar, who highlighted the importance of indigenous technology development. He underscored that achieving strong results requires building internal capabilities and relying on domestic talent, and that acquiring technology from elsewhere often comes at a significant cost. This focus on self-reliance has contributed to India’s past successes despite resource limitations. Dr. Sudhakar detailed ISRO’s roadmap extending to 2047, encompassing advanced exploration missions and long-term human spaceflight programs. He predicted growing demand for space-based services, including surveillance, communication, and navigation, with expanding applications in the defense sector. Prof.

ISRO has always been at the forefront of achieving maximum impact with limited resources.

Prof. Priyadarshnam, Head & Project Director, SSPACE, Indian Institute of Space Science and Technology (IIST)
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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