"It’s not what you look at that matters, it’s what you see." - Henry David Thoreau
I am Ahnaf Atef, a graduate of Electrical and Electronic Engineering from Brac University, and I am now pursuing my master's in Electrical Engineering and Information Technology at Otto-Von-Guericke University, Magdeburg. My passion for innovation fuels my desire to not only excel in my current field but also to explore other emerging areas that align with my curiosity. I love solving complex problems and thinking outside the box to create meaningful, impactful solutions.
As a technology enthusiast, I strongly believe in using technology as a force for good, and I am committed to making a positive impact through my skills and knowledge. I’m a team player, valuing collaboration to achieve shared goals, and a leader who enjoys inspiring others to unlock their full potential.
Life is an exponential learning journey, and I see myself as a lifelong learner, constantly seeking new ways to grow. I am deeply passionate about discovering new ideas and concepts, and my strong communication skills allow me to effectively share those ideas with others.
For me, it’s not just about what you look at, but how you interpret and understand what you see. I strive to look beyond the surface and uncover the deeper meaning in every challenge.
Foldable and Portable Solar Module Based Power Generation and Management System: The Bangladesh Army Perspective.
(On progress from January, 2022 – December, 2022)
Dr. Mohammed Belal Hossain Bhuian, Associate Professor, EEE, Brac University.
Abdullah Hil Kafi, Lecturer, EEE, Brac University.
Md. Mahmudul Islam, Lecturer, EEE, Brac University.
The aim of our FYDP is to make a prototype for Military Remote camps (consists of 8-10 members). Our system will manage the whole squads Communication segment power requirement through renewable energy source (for this project we designed and developed foldable, light-weight and portable Photo-Voltaic Module), convey the present state of current consumption, battery storage and suggest them the next day power consumption through our developed algorithm.
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