Md Ebrahim Hossain

A Doctoral Researcher

Research Interests - A Sustainable Future.

Biography

I am currently pursuing a Ph.D. in Electrical and Computer Engineering at Florida International University, where I also work as a Graduate Research Assistant at the EPSi Lab. My research focuses on smart energy systems, sustainable energy technologies, and their integration with emerging computing frameworks.
I am particularly interested in how advanced computational methods can optimize energy efficiency and support the transition to renewable energy sources.

Education

Ph.D. in Electrical and Computer Engineering – Florida International University (Ongoing)

Masters in Smart Energy, Major in Smart Grid – University of Vaasa, Finland

M.Sc. in Computer Science and Engineering – Stamford University Bangladesh, Bangladesh

B.Sc. in Electrical and Electronic Engineering – Port City International University, Bangladesh

I have been honored with prestigious scholarships and have received national and international awards.

“A Rule-based Control Approach Using Neural Network and Optimized Battery Energy Management to Efficiently Integrate Renewable Energy Sources in Data Center.” Academic Thesis

The thesis aims to optimize energy management in data centers using a rule-based control framework which considers renewables, battery storage and local grid power.

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https://urn.fi/URN:NBN:fi-fe2025032922271

“Design and Performance Analysis of MIMO Antenna for 5G Application.” Academic Thesis

This thesis represents a 2×2 and 3×3 multiple-input-multiple-output (MIMO) antenna which can operate at “LTE band 47” and “LTE band n79”.

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The proposed antennas are the combination of two and three single element antennas. The single antennas size was 36 x 12 mm and printed on 0.8 mm-thick FR-4 substrate with 0.035mm-thick Copper ground and patch. The single antennas consist of s-shaped patch and plane ground. The MIMO antennas provides the coverage to the users in linear direction. The simulated results showed that both of the single element antennas had the reflection coefficient (S11) of -42.67 dB and -53.80, less than -10 dB in the frequency range of respectively “LTE band 47” and “LTE band n79”. More than 100 MHz of 10dB impedance bandwidth was obtained. The gain of the both antenna linear array was 4.47 dBi and 3.59 dBi while the suppression of the side lobes was -2.3 dB and -0.7 dB. It showed overall of VSWR were below 1.58. Based on the above, the proposed MIMO antennas are a prospective candidate for future 5G applications.

“Multipurpose medical assistant robot (Docto-Bot) based on internet of things.” IJECE Journal

The world's population is growing every day, and so is the number of patients. People's life expectancy is increasing due to technology's welfare,

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DOI: 10.11591/ijece.v11i6.pp5558-5567

“Design and Implementation of Biomedical Based Medical Assistant Robot (Aido-Bot).” IEEE Conference

This paper discusses in detail a proposed IoT-Based Medical Assistant Robot (Aido-Bot) that will be designed and implemented for the disabled and the patients in need.

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DOI: 10.13140/RG.2.2.16156.92808

“Design and Implementation of a Smart Medicine Reminding and Providing bot (Medi-Bot).” IEEE Conference

In the current world of disease, far more patients need medical attention than the number of medical resources and personnel.

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Also, in great pandemics, human medical personnel cannot always do specific tasks well, which can be done more efficiently in less time by a mobile bot. In this paper, we focus on a smart mobile medicine serving bot system named "Medi-Bot", that can help patients with all his/her medication at the correct time and do these works without infecting others. Medi-Bot stores all the information about the patient in a database. An android app controls the bot so the caregiver can fill the bot's medicine box with the patient's respective medicines and send it to the patient room. The bot contains a microcontroller unit, voice system unit, Wi-Fi module, an RTC module, and a GSM module. Thus, after entering the patient room, it tells the patient about taking medicine and sends an SMS alert to the caregiver with the medicine name and time. For the medication of different times of day, the bot has six individual boxes. It opens the respective medicine box and also indicates the box with an inbuilt LED. After a particular time, the bot sends an SMS alert to the caregiver notifying whether the patient has taken the right medicine in time. This bot also has an in-built sanitizing system that ensures to keep any infectious disease from further spreading and help as a sanitizing bot. This kind of bot can be remarkably effective in hospitals and clinics and can play a considerable role in pandemics when people fail to get enough medical attention in time.

completed practical project

award and achievements

publications

current projects