MEET THE TEAM
We try to resolve Five Ws and One H in Wirless/Wired Networks
Muhammad Nadeem Ali
PhD CandidateEmail:nadeemali499@hotmail.com
Engr. Muhammad Nadeem Ali is currently pursuing a Ph.D. at Hongik University, South Korea. He completed his BS and MS in Electronics Engineering from International Islamic University Islamabad in 2012 and 2016 respectively. His BS in Electronics Engineering was fully funded by the Ministry of Information and Technology, Government of Pakistan, for four years. The scholarship name was ICT & RD Fund. Currently, he is a member of Broadband Convergence Network Laboratory in Hongik University. His major interests are 5G wireless communication system, intelligent transport system and its application, Latency issues in networks, edge computing, and name data network. From 2015 to 2021, he was working as a Senior Lecture at the Department of Computer Science, Lahore Garrison University. Where he supervised many final year projects. He was also an Assistant Editor of Lahore Garrison University Journal of Computer Science and Information Technology from 2017 to 2021.
Ihsan Ullah
PhD CandidateEmail:danish1852@gmail.com
Ihsan Ullah received the B.S. degree in Computer Systems engineering from University of Engineering and Technology Peshawar, Pakistan, and the master degree in computer engineering with the specialty in computer and Wireless Networks from the Department of Electrical and Computer Engineering, COMSATS University, Islamabad, Pakistan in 2021. He worked as a research assistant in the Wireless and Communication lab for six month. His current interests lie in the area of Underwater Wireless Sensor Networks (UWSN), Cloud computing, Fog Computing, Vehicular Networks, Machine learning and Artificial intelligence.
Ghulam Musa Raza
PhD CandidateEmail:graza.mscs19seecs@seecs.edu.pk
Ghulam Musa Raza received his BS degree in Computer Science from Comsats University Islamabad in 2019. His major in BS was Intelligent Robotics. He received his MS degree in Computer Sciences from SEECS, NUST Islamabad in 2021. His research interest in Masters was Natural Language Processing (Artificial Intelligence). From 2017 to 2019, he was working as a Software Engineer in Snaky Solutions Pvt Limited. He served as Machine Learning based Research Assistant in TUKL lab, NUST Islamabad at the start of 2021. He served as Lecturer in Alhamd Islamic University, Islamabad from 2021 to 2022. His major interests are in the field of Natural Language Processing, Internet of things (IOT), Information Centric Networking and Named Data Networking. He is currently pursuing the Ph.D. degree in Computer Engineering with the Department of Electronics and Computer Engineering in Graduate School, Hongik University, South Korea.
Muhammad Asim
PhD StudentEmail:araja3356@gmail.com
Muhammad Asim is currently pursuing a Ph.D at Hongik University, South Korea and holds a Master's degree in Information Technology, from SEECS, National University of Science and Technology (NUST). He has professional experience as a Machine Learning Engineer, where he has worked on designing and developing machine learning algorithms, implementing deep learning models, and optimizing them for real-world applications. His work also involves data preprocessing, feature engineering, model evaluation, and deploying machine learning solutions in production environments. He has collaborated with cross-functional teams to integrate AI-driven solutions into existing systems. His research interests focus on advanced machine learning, with a particular emphasis on artificial intelligence, deep learning, and their applications in modern communication and networking systems.
Bareera Anam
PhD StudentEmail:anambareera123@gmail.com
Bareera Anam is currently pursuing a Ph.D. at Department of Software and Communication Engineering, Hongik University, Jochiwon Campus, Sejong, South Korea and holds a Master's degree in Information Technology from National University of Sciences and Technology (NUST), SEECS Pakistan. She has worked as a Lab Engineer at NUST SEECS, where she was involved in both teaching and research activities related to artificial intelligence and machine learning. She has strong experience in developing and implementing AI and ML models, with hands-on expertise in data preprocessing, model training, and evaluation. Her work includes applying deep learning techniques to real-world problems and collaborating with research teams on AI-driven projects. She also has research publications in this field, reflecting her academic and technical contributions. Her research interests include artificial intelligence, deep learning, and their applications in intelligent systems and communication technologies.