Babar khan

Babar khan

Electrical Engineer | PhD Candidate | Software-Hardware Developer

Infineon Quantum Computing Winter School 2024

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I have not been involved in Quantum Computing research topics, but like most researchers (read PhD candidate) in Computer Science and software-hardware engineer, I have been intrigued by the topic. Attending SC 2023 in Denver, Colorado, USA, was icing on the cake where QC was a dominating topic both in research and industrial tracks. Luckily the stars aligned and I had an opportunity to attend virtually Quantum Computing (QC) Winter School 2024 in February 2024 by Infineon. Infineon Technologies AG is Germany’s largest semiconductor manufacturer.

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Our ACM Transaction on Storage (TOS) journal (manuscript) mentioned in esteemed Storage Newsletter

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Since I have been working in the field of storage as a researcher and practitioner, we recently contributed a comprehensive scientific paper titled “Reflecting on the Past 17 Years of Shingled Magnetic Recording for Insights into Future Disk Transitions” to the Special Issue of ACM Transactions on Storage (TOS). The SI was titled “The Past, Present, and Future of Storage Technologies”. Read more

Feels good to be mentioned in HPCwire: Global News on High Performance Computing (HPC)

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In 2023, I had attended the in-person International Conference for High Performance Computing, Networking, Storage, and Analysis (commonly known as SC 2023) in Denver, Colorado, USA. Being November in Denver, the weather was as expected—cold but sunny (my kind of weather). SC is always a week-long event, and since I arrived a day or two before the official start, I decided to collect my badge early to avoid the long queues on opening day. After picking up my badge, I thought, why not take a walk around the Colorado Convention Center as a warm-up for the upcoming conference days? While exploring the area, I noticed some talks taking place in one of the halls at the Convention Center. Read more

NVIDIA AI Instructor led Training: Building Transformer-Based Natural Language Processing Applications

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To stay well-informed about the scientific (fine-granular) aspects of Artificial Intelligence, I took the opportunity to enroll in an instructor-led training program titled “Building Transformer-Based Natural Language Processing Applications.” Through this training, I acquired knowledge on utilizing Transformer-based natural language processing models for tasks like text classification, including the categorization of documents. Additionally, I learned how to harness Transformer-based models for tasks such as named-entity recognition (NER). The training equipped me with the skills to analyze different model features, constraints, and characteristics, enabling me to determine the most suitable model for a specific use case based on metrics, domain specificity, and available resources. Read more

In my hand: The new Seagate HAMR disk at SC 2023 exhibition, Denver, Colorado, USA

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Last week, I attended SC 2023 in Denver, Colorado, USA. The SC Conference brought together a vast assembly of participants, numbering 14 thousand this year, from the international high-performance computing community. It served as a nexus for scientists, engineers, researchers, educators, programmers, system administrators, and developers worldwide. Simultaneously, SC provided manufacturers, vendors, research institutions, and HPC service providers with a venue in the form of an exhibition. This year’s event featured approximately 438 exhibitors, among them Seagate. Read more