Suraj Karki

Uncategorized
Research Computing Infrastructure (Information Technology Services) Systems Professional II Expertise Cisco, Juniper, Aws, Azure, Opensource, Firewall like ( Fortigate, Check-Point, Palo-Alto, Sophos,ASA ), Security ( Waf, SIEM,BurpSuite,Nessus), Python. Docker & Kubernetes, Git, DNS -management and Active Directory Education Masters in Computer Engineering | Pokhara University, Nepal, 2023Bachelor of Engineering in IT | Pokhara University, Nepal, 2015 About: AWS-S3, EC2, DB, Lambda, DR and DC configuration, IAM user policy, and Elastic Beanstalk configuration on AWSExpertise knowledge of VMware ESXi and vSphere with Venter management, Consolidated Backup, DRS, and HA.Strong background on Windows server platform 2003, 2008, 2012, and 2016 with HyperV, Active Directory, and DNS.Good background in Debian and Fedora open sources along with email service, monitoring, and DNS server configuration.Monitor, design, configure, and maintain a monitoring solution PRTG, Cacti, Nagios,…
Read More
Streamlining Scientific Workflows for Accuracy and Reproducibility By Bernardo Aguzzoli Heberle and Mark T. W. Ebbert

Streamlining Scientific Workflows for Accuracy and Reproducibility By Bernardo Aguzzoli Heberle and Mark T. W. Ebbert

Uncategorized
The Role of Containers in Alzheimer’s Disease Research in the Ebbert Lab  Navigating the complexities of scientific research often involves juggling large data sets, multiple tools, and specialized software–especially in the realm of high performance computing (HPC). In an environment where the lack of reproducibility in scientific studies is a growing concern, tools that enhance accuracy and consistency are invaluable. In the Ebbert Lab, a part of the University of Kentucky’s Sanders-Brown Center on Aging, we’ve found that software containers are essential, not just for streamlining our workflows, but also for addressing the critical issue of reproducibility in our Alzheimer’s disease research. In this article, we will explore the challenges of achieving reliable and repeatable scientific results, our focus on Alzheimer’s disease research, and how software containers have improved both the…
Read More
7th Annual Commonwealth Computational Summit on AI – Oct 16 & 17

7th Annual Commonwealth Computational Summit on AI – Oct 16 & 17

Uncategorized
The University of Kentucky’s Center for Computational Science (CCS) and ITS/Research Computing Infrastructure is hosting the 7th Annual Commonwealth Computational Summit (CCS) on October 16-17, 2023, focused on AI in Education, Medicine, and Research. Location: Gatton Student Center Ballroom and Conference Facilities, University of Kentucky, 160 Avenue of Champions, Lexington, KY 40508. If you are interested in any aspect of Artificial Intelligence, research or education, methods, tools, or technologies, including generative AI, machine learning, deep learning and neural networks, expert systems and decision support, autonomous control, robotics, natural language processing, textual analysis, image recognition, speech recognition, large language models, virtual agents, or chatbots, then come join us at the Commonwealth Computational Summit! This event is open to all university faculty and graduate students across the Commonwealth (and our region) as well as to industry professionals.…
Read More
5th Annual Commonwealth Computational Summit (CCS) April 12 and 13, 2022

5th Annual Commonwealth Computational Summit (CCS) April 12 and 13, 2022

Uncategorized
5th Annual Commonwealth Computational Summit (CCS) VIRTUAL – April 12 & 13, 2022 from 10am until 3pm (EASTERN) ANNOUNCEMENT, CALL FOR SPEAKERS, AND REGISTRATION! The University of Kentucky’s Center for Computational Sciences (CCS) and ITS-RCI is hosting the 5th Annual Commonwealth Computational Summit (CCS) Via Zoom (a virtual Summit) on Tuesday April 12 and Wednesday April 13, 2022. In order to minimize Zoom fatigue, the Summit will last only 4 hours per day (10am until 3pm Eastern with a 1 hour lunch break).  Our focus for this Summit is Data Science which is a very broad topic and includes AI, Machine Learning, Deep Learning, Big Data, Data Mining, Informatics/Bioinformatics and other forms of data analytics and relevant technologies across all disciplines, application areas and industries!    This event is open to all university faculty and graduate…
Read More