Adil Bin Bhutto

I am a researcher interested in system software, networking, and distributed systems. I completed my a Master’s degree at the Nara Institute of Science and Technology in Japan, focusing on assessing the readiness of containerized networking functions for future compute-inter-connect fabric. I have a 4-year general Bachelor’s degree in Computer Science and Engineering from Tezpur Central University, India.

I have experience working as a Remote Staff Engineer at Ovvy in Delaware, USA, where I led a team in developing smart algorithms for automating real estate image editing and it’s operations. I also serve as a Research Assistant at ICSCoE in Japan, working on core network technology and cybersecurity solutions & training. My past experience includes a role as a Visiting Researcher at ADSLab in Umeå University, Sweden, where I contributed to projects on network anomaly detection.

My research interests include system software, networking and distributed systems, and I have published several papers in these areas. I have received a full scholarship of 3.5 million JPY from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan, recognizing academic and research potential. I am committed to advancing technology through collaboration and continuous learning.

Research interests

B5G/6G NFV

System Software

Networking

Distributed Systems

Latest posts

Jan 18, 2025	📡 6G Is Coming: Why Jitter and Latency Could Be Your Biggest Worries?

Selected publications

NFV

Meeting Latency and Jitter Demands of Beyond 5G Networking Era: Are CNFs Up to the Challenge?

Adil Bin Bhutto, Ryota Kawashima, Yuzo Taenaka, and 1 more author

2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024

Bib Slides

@article{bhutto2024meeting,
  author = {Bhutto, Adil Bin and Kawashima, Ryota and Taenaka, Yuzo and Kadobayashi, Youki},
  title = {Meeting Latency and Jitter Demands of Beyond 5G Networking Era: Are CNFs Up to the Challenge?},
  journal = {2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)},
  pages = {1598--1605},
  year = {2024},
  doi = {10.1109/COMPSAC61105.2024.00251},
  google_scholar_id = {d1gkVwhDpl0C},
  selected = true
}

Anomaly Detection

Semi-supervised Range-based Anomaly Detection for Cloud Systems

Pratyush Kr Deka, Yash Verma, Adil Bin Bhutto, and 2 more authors

IEEE Transactions on Network and Service Management, 2022

Bib

@article{deka2022semi,
  title = {Semi-supervised Range-based Anomaly Detection for Cloud Systems},
  author = {Deka, Pratyush Kr and Verma, Yash and Bhutto, Adil Bin and Elmroth, Erik and Bhuyan, Monowar},
  journal = {IEEE Transactions on Network and Service Management},
  volume = {20},
  number = {2},
  pages = {1290--1304},
  year = {2022},
  publisher = {IEEE},
  google_scholar_id = {u-x6o8ySG0sC},
  selected = true
}

Anomaly Detection

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds

Adil Bin Bhutto, Xuan Son Vu, Erik Elmroth, and 2 more authors

IEEE Access, 2022

Bib

@article{bhutto2022reinforced,
  title = {Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds},
  author = {Bhutto, Adil Bin and Vu, Xuan Son and Elmroth, Erik and Tay, Wee Peng and Bhuyan, Monowar},
  journal = {IEEE Access},
  volume = {10},
  pages = {94677--94690},
  year = {2022},
  publisher = {IEEE},
  google_scholar_id = {u5HHmVD_uO8C},
  selected = true
}