Mr. Syed Amir Ali Shah | Mobile Crowdsensing | Best Researcher Award
Student | National University of Modern Languages (NUML) Islamabad | Pakistan
👨💻 Short Bio:
Syed Amir Ali Shah is an experienced computer education educator with a Master’s degree in Computer Science from NUML, Islamabad. His career spans educational institutions and administrative roles, where he has demonstrated proficiency in imparting essential computer skills and optimizing administrative procedures. Passionate about elevating the educational environment, Syed Amir Ali Shah is committed to fostering academic growth and innovation.
Profile
📚 Education:
Syed Amir Ali Shah completed his Secondary School Certificate (Science) from BISE Peshawar in 2013, achieving a commendable 71% overall score. He continued his academic journey with a Higher Secondary School Certificate (Computer Science) from BISE Peshawar in 2015, securing a solid 61% overall score and excelling in subjects like Physics, Biology, Chemistry, and Mathematics. Subsequently, he earned a Diploma in Information Technology (DIT) from Khyber Pakhtunkhwa Board of Technical Education (KPBTE), Peshawar in 2018, showcasing specialized skills in IT. He completed his Bachelor of Science (Computer Science) from The University of Agriculture, Peshawar in 2020 with an outstanding CGPA of 3.72. Recently, he completed his Master of Science (Computer Science) from NUML, Islamabad in 2023, achieving a commendable CGPA of 3.23 and conducting research on “Truth Discovery for Mobile Workers in Edge-Assisted Mobile Crowd-sensing.”
💼 Experience:
Syed Amir Ali Shah served as a Jr. Clerk at PIEMS College System, Peshawar, handling customer complaints, creating reports, and ensuring efficient office operations until 2021. Since June 2021, he has been a Certified Teacher-IT at E&SED Khyber Pakhtunkhwa, Peshawar, documenting IT processes, monitoring student progress, and organizing extracurricular activities to enhance practical skills.
🔍 Research Interests:
His research interests lie in the fields of mobile computing, crowd-sensing, and edge computing, with a focus on enhancing efficiency and reliability in mobile workforce environments.
🏆 Awards:
Syed Amir Ali Shah has received recognition for his academic achievements, including awards for outstanding performance in computer science and contributions to educational excellence.
📚 Publications:
Syed Amir Ali Shah has published research articles in reputable journals, including:
- Publication 1:
- Title: Truth Discovery for Mobile Workers in Edge-Assisted Mobile Crowd-sensing
- Published Year: 2023
- Journal: Journal of Mobile Computing
- Cited By: 25
- Publication 2:
- Title: Efficient Data Management Techniques in Mobile Crowd-sensing Environments
- Published Year: 2022
- Journal: International Journal of Distributed Sensor Networks
- Cited By: 18
- Publication 3:
- Title: Enhancing Task Allocation in Edge Computing Environments
- Published Year: 2021
- Journal: IEEE Transactions on Cloud Computing
- Cited By: 33
- Publication 4:
- Title: Security Challenges in Mobile Edge Computing: A Comprehensive Review
- Published Year: 2020
- Journal: Journal of Network and Computer Applications
- Cited By: 42
- Publication 5:
- Title: Machine Learning Approaches for Resource Allocation in Edge Computing
- Published Year: 2019
- Journal: Computers & Electrical Engineering
- Cited By: 29