Enrico Casella

Enrico Casella

Ph.D. Candidate

University of Kentucky

Biography

I’m a fourth year Ph.D. Candidate conducting research on smart grids and development of machine learning techniques for power conservation. I provide data analysis expertise on animal health care prevention along with the development of ad-hoc algorithms. Additionally, I supervise undergraduate research for students in CPSlab. I aim to build a resume that allows me to pursue a career in academia.

Download my resumé.

Interests
  • Smart grids and renewable energy
  • Animal health care prevention
  • Fog Computing
Education
  • PhD in Computer Science, Present

    University of Kentucky

  • MEng in Computer Engineering, 2018

    Università degli studi di Palermo

  • BSc in Computer and Telecommunication Engineering, 2015

    Università degli studi di Palermo

Experience

 
 
 
 
 
University of Kentucky - Computer Science Department
Research Assitant
Aug 2018 – Present Kentucky

Responsibilities include:

  • Smart Grids
  • Animal Health Care
  • Fog Computing
 
 
 
 
 
University of Kentucky - Computer Science Department
Teaching Assistant for CS371
Jan 2019 – May 2019 Kentucky

Responsibilities include:

  • Final Project Development
  • Lecturing for hands-on projects
  • Grading
 
 
 
 
 
University of Kentucky - Computer Science Department
Teaching Assistant for CS215
Aug 2018 – Dec 2018 Kentucky

Responsibilities include:

  • Leading lab classes
  • Grading
 
 
 
 
 
Missouri University of Science and Technology - Computer Science Department
Visiting Research Scholar
Mar 2017 – Sep 2017 Missorui

Responsibilities include:

  • Literature on structural machine learning
  • Research on human activity recognition

Publications

(2022). Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning. In IEEE International Conference on Smart Computing (SMARTCOMP) 2022 - WiP.

Cite Project

(2022). Cost-aware Inference of Bovine Respiratory Disease in Calves using Precision Livestock Technology. In Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2022.

Cite Project

(2022). Using machine learning and precision livestock farming technology for early indication of health status in preweaned dairy calves. In Proceedings of the European Conference on Precision Livestock Farming (ECPLF), 2022.

Cite Project

(2022). HVAC Power Conservation through Reverse Auctions and Machine Learning. In Proceedings of the International Conference on Pervasive Computing and Communications (PerCom), 2022 - 18/178 accepted papers.

Cite Project

Services

President
Graduate Student Association of Computer Science (GSACS)
Graduate Student Congress Member
Mental Health Committee
Representative
Graduate Student Association of Computer Science (GSACS)
Journal paper reviews for
Pervasive and Mobile Computing; Sustainable Energy, Grids, and Networks; Reliable Intelligent Environments
TPC member
INFOCOMP 2020, ICDCN 2023
Conference paper reviews for
ICDCS, GLOBECOM, SMARTCOMP, WoWMoM, WiMob, LCN, ICC, IWQoS, DCOSS, COMSNETS, SmartSys

Awards and Achievements

Recipient of Thaddeus B. Curtz Memorial Scholarship
The award represents recognition for very high achievement and excellence, with a promising career in academia
Commonwealth Computational Summit Winner
The Center for Computational Sciences along with ITS Research Computing Infrastructure hosts a panel focused on Data Science challenges, new exciting computational project and opportunities in Research and Education

Contact