IEEE Technology Policy and Ethics

January 2022

Unmanned Aerial System Communication and Security

By Sheeba Backia Mary Baskaran, Advisory Researcher with Motorola Mobility (Lenovo), Germany, Andreas Kunz, Senior Researcher with Motorola Mobility (Lenovo), and Dr. Ali Kashif Bashir, Department of Computing and Mathematics, Manchester Metropolitan University, UK

Unmanned Aerial Systems (UAS’s) are gaining importance in defense, commercial, and civil spheres, and in addition, their integration into the airspace has recently been increasing. The UAS’s applications in defense planning include monitoring, securing ground troops, and precise identification and tracking of threat factors. There are various applications pertaining to commercial and civil spheres, including but not limited to remote sensing of atmosphere and ground, exploration of inaccessible terrains, search and rescue operations, the agricultural survey of crops and livestock, fire control, package delivery, etc. This article articulates the overall key services and security aspects of UAS communication.

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Significant Transformation of Engineering Education

By Dr. Hazrat Ali, Senior Member IEEE, (College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar), Dr. Zubair Shah (College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar), Prof. Shahid Khattak (Vice-chancellor, University of Engineering and Technology Mardan, Pakistan)

COVID-19 has impacted almost every aspect of our lives. Our dietary patterns, work schedules, education systems, traveling habits, and just about every social norm have been redefined. The impact of COVID-19 on the education ecosystem, in particular, is monumental. The newly implemented processes and procedures may remain in place for a while, perhaps forever. For example, the world economic forum reported that over 1.2 billion children are now without a physical classroom [1]. This article highlights the major impacts COVID-19 has had on engineering education. Furthermore, it provides policy institutes and leaders with potential methods for mitigating the drastic effects of COVID-19, and supplies resolutions to help cope with the changing trends in engineering education.

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Machine Learning Algorithm for Covid-19 Prediction

By Gururaj H L, Soundarya B C, and Janhavi V, Vidyavardhaka College of Engineering, Department of Computer Science and Engineering, Gokulam III stage, Vijaynagar, Mysuru, India.

Coronavirus (COVID-19), detected around the world, has led to confusion and massive casualties. The world needs an anonymous system that can aid in learning and addressing concerns, questions, and doubts. Such a system would help individuals to overcome present taboos in their society and encourage people to take proper action [1]. A system, which would maintain the integrity of patient data, can play a significant role in solving such problems.

The world urgently needs a system that can aid in diagnosing and predicting vital parameters, therefore helping to efficiently identify and predict what type of treatment each unique patient may require [2]. In the existing systems, processing results can be timely. An enhanced system, capable of providing results in a shorter time frame, will help those who have encountered the virus take action to prevent further spreading the infection. In addition, a system that can predict the severity of infection in different individuals would help stabilize healthcare systems, prevent medical facilities from becoming overwhelmed, and help avert supply shortages.

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IEEE Technology Policy and Ethics Editorial Board


Dr. Ali Kashif Bashir
Editor-in-Chief

Dr. Steve Jones
Editor-in-Chief

Dr. Syed Hassan Ahmed

Dr. Adriana Bankston

Dr. Muhammad Bilal

Dr. Syed Ahmad Chan Bukhari

Dr. Syed Hashim Raza Bukhari

Dr. Ankur Chattopadhyay

Dr. Junaid Chaudhry

Dr. Jerry Chun-Wei Lin

Dr. Kapal Dev

Dr. Yasir Faheem

Dr. Prasun Ghosal

Dr. Tahir Hameed

Dr. Sinan Hanay

Dr. Shagufta Henna

Dr. Fatima Hussain

Dr. Rasheed Hussain

Dr. Muhammad Asif Khan

Dr. Mohammad Saud Khan

Mohammad Khosravi

Olga Kiconco

Matteo B. Lodi

Professor Zhihan Lv

Dr. Varun G Menon

Dr. Shakil Muhammad

Dr. Zeeshan Pervez

Dr. Shalli Rani

Dr. Kashif Saleem

Dr. Manik Sharma

Dr. Amit Kumar Singh

Kathiravan Srinivasan

Dr. Sandeep Verma