DEMO

MENU

×

Page
  • Page
  • News
  • Events
  • Notice
What's New
TENDER NOTICE Job Opportunity: Research Assistant for AUST Internal Research Project Notice (Alumni Election) Notification (25% semester fee waiver for Fall-2023 Semester) Alumni Election of the Department of Civil Engineering, AUST (2025-2026) Notification (Christmas Day) Tuition Award - FFTA & HFTA Advertisement for Research Assistant (RA) – Free Space Optical Communication System Project Notification regarding application for semester grade sheet of Fall 2023 Reception and Orientation Program for Newly Admitted Students of Spring-2024 Semester Corrigenda of Tender Gradutate Notification: Bachelor of Architecture, Fall 2023 Notice for Research Assistant Graduate Notification: Bachelor of Business Administration, Fall 2023 Graduate Notification: Bachelor of Science in Civil Engineering, Fall 2023 Graduate Notification: Bachelor of Science in Computer Science and Engineering, Fall 2023 Graduate Notification: Bachelor of Science in Electrical and Electronic Engineering, Fall 2023 Graduate Notification: Bachelor of Science in Electrical and Electronic Engineering, Spring 2023 Graduate Notification: Bachelor of Science in Textile Engineering, Fall 2023 Notification (Rules regarding Carry/Clearance/improvement examinations) Notification (Victory Day) Notification (Distressed Students' Welfare Fund (DSWF)) Graduate Notification: Bachelor of Science in Industrial and Production Engineering, Fall 2023 Schedule (Revised) of Semester Carryover/Clearance/Improvement Examination: Fall 2023 Graduate Notification: Bachelor of Science in Mechanical Engineering, Fall 2023 Notice (Improvement Examination) MoU Signing Ceremony Between the Department of Civil Engineering, AUST and Shanta Holdings Limited Congratulations on QS World University Rankings: Asia 2025 Achievement Research Assistant Needed Office Order (Assistant Proctor) Academic calendar - M.S. in Mathematics Program, Spring 2024 Graduate Notification: Bachelor of Science in Textile Engineering, Spring 2023 Notification (Expression of Interest (EOI) For Consultancy Service) Graduate Notification: Master of Science in Mathematics, Fall 2023 Payment of Semester Fees, and Re-admission, Spring -2024 NOTIFICATION (SIBLING/SPOUSE QUOTA) Elected Executive Committee (AAAEEE 2025 - 2026) Notification (ID Card) Seminar on "Fostering Mental Wellbeing" Workshop on "Hands-on Training on Office Management Tools” TENDER INVITATION Graduate Notification: Master of Engineering in Electrical and Electronic Engineering, Fall 2023 Layers of Imagination: Three-day Long Exhibition in the Department of Architecture, AUST TENDER INVITATION Academic Calendar (Spring 2024)

News


Date: 2021-12-25

Talk on Revolutionizing Renewable Energy with Machine Learning and Data Science


A research seminar titled "Revolutionizing Renewable Energy with Machine Learning and Data Science" will be held on December 27, 2021 at 3:30pm in Room#4A05, AUST Campus. The talk will be delivered by Dr. Eklas Hossain, Associate Professor, Department of Electrical Engineering and Renewable Energy, Oregon Institute of Technology (OIT), USA. The seminar is organized by the Department of EEE, AUST. IEEE AUST Student branch and IEEE Power & Energy Society Student Branch Chapter, AUST will be the volunteers for the event. 

Abstract and Speaker’s biography are attached below.

 

Title of the topic:

Revolutionizing Renewable Energy with Machine Learning and Data Science

Abstract:

Of different technical jargon used in the current technology market, Renewable Energy, Machine Learning, and Data Science are running the gamut, but for obvious reasons. Although these are distinct fields of the engineering sector, from a bird’s eye view, these multidisciplinary topics can be integrated to implement smart grids and cities. Renewable energy sources having their promising aspects in the existing power sector, have certain limitations for their novelty in the domain, which can be effectively overcome by the appropriate utilization of Data Analytics and Machine Learning algorithms. Perceptive applications of load forecasting with renewable energies, optimization of resources in a hybrid energy setup, and the integration of vehicle-to-grid technology in the existing infrastructure will aid the rapid development of smart grids and cities in both developed and developing countries. The presentation will provide a deeper understanding to its audiences about the present and prospects of Machine Learning, Data Science, and their various facets in Renewable Energy engineering. At the end of the presentation, the audiences will learn about the stories behind the critical employment of algorithms in the renewable energy domain and obtain guidance on how to keep up with the pertaining learning path.

Speaker’s biography:

Dr. Eklas Hossain is an Associate Professor in the Department of Electrical Engineering and Renewable Energy at the Oregon Institute of Technology (OIT), which is home to the only ABET-accredited BS and MS programs in renewable energy. He has been working in the area of distributed power systems and renewable energy integration for last ten years and has published a number of research papers and posters in this field. He is also working as a Senior Electrical Consultant at RRC Companies – Power and Energy at Tualatin, Oregon. He is currently involved with several research projects on renewable energy and grid-tied microgrid systems at OIT. He received his PhD from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM), his MS in Mechatronics and Robotics Engineering from International Islamic University of Malaysia, and a BS in Electrical and Electronic Engineering from Khulna University of Engineering and Technology, Bangladesh. Dr. Hossain is a registered Professional Engineer (PE) in the state of Oregon and is also a Certified Energy Manager (CEM) and Renewable Energy Professional (REP). He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and Association of Energy Engineers (AEE) and an Associate Editor for IEEE Access and IET Renewable Power Generation. His research interests include the modelling, analysis, design, and control of power electronic devices; energy storage systems; renewable energy sources; integration of distributed generation systems; carbon sequestration; microgrid and smart grid applications.