Inam ullah on Muck Rack

Inam ullah

Islamabad, Pakistan, Peshawar
As seen in: Dailymotion, Medium, Nature, Wiley Online Library, Future Internet, MDPI, The Quint, Canadian Journal of Infectious Diseases & Medical Microbiology, Journal of Sensors, The Run Time and
Covers:  Politics, Lifestyle, Economy, Business, Fashion
Doesn't Cover: Movies
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Inam ullah’s Biography

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I am a journalist and writer. I live in a beautiful region of Pakistan, Chitral. I am currently running my own organization Inspired-in.

Articles

Top 10 Smart Home Upgrades for Busy Families

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By Inam ullah
| The Run Time
Smart home upgrades have emerged as one of the most practical ways for busy families to alleviate the stress in their daily lives and to make life easier. Family life is busy, and keeping track of schedules, family responsibilities, security, cleaning, and energy can be overwhelming. The great thing about making a smarter home is that it doesn’t require a ton of complicated technology in every room.
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Dynamic water-energy-carbon trade-off optimization for heavy industry decarbonization via deep reinforcement learning: a UK case study

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By Inam ullah
| gla.ac.uk
Hassan, M., Rasheed, M.B., Khan, Inam Ullah and Gamage, K.A.A. ORCID: https://orcid.org/0000-0002-4832-3373 (2026) Dynamic water-energy-carbon trade-off optimization for heavy industry decarbonization via deep reinforcement learning: a UK case study. Water, 18(9), 1112. (doi: 10.3390/w18091112) Text 383301.pdf - Published Version Available under License Creative Commons Attribution.
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LLM-enabled adaptive scheduling in IoT sensing for optimized network performance

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By Muhammad Khan, Sokjoon Lee, Sang Lee, Mohsin Shah, Inam ullah, Shakila Basheer, Ali Bashir
| Nature Verified
Abstract The use of numerous sensors on edge devices, combined with the emergence of AI techniques, makes the IoT environment more intelligent and interactive. The resulting paradigm encompasses device-centric systems that operate instantly and remotely with zero clicks. However, with these advantages, many functional challenges affect remote sensing, including incomplete data, communication delay, lack of context awareness, and dynamically switching topology.
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