Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Waqar Ahmad
Affiliation
Department of Computer Engineering, University of Engineering and Technology at Taxila, Taxila, Pakistan
Topic
Application Execution,Application Tasks,Average Latency,Communication Cost,Current Function,Design Phase,Dynamic Algorithm,Energy Consumption,Energy Cost,Energy Usage,Fitness Function,Functional Applications,Functional Dynamics,Functional Framework,Hybrid Task,Latent Variables,Map Tasks,Mapping Approach,Mapping Strategy,Mapping Techniques,Multimedia Applications,Multiple Applications,Optimal Cost,Optimal Mapping,Particle Swarm Optimization,Simulated Annealing Algorithm,Task Allocation,Test Scenarios,User Behavior,
Biography
Waqar Ahmad received the Ph.D. degree in electronics and communication in Europe. He has more than 15 years of teaching, research, training, and development experience in computing and engineering fields. He has worked in various professional capacities across academia, such as the lab engineer, a lecturer, and an assistant professor of artificial intelligence, machine learning, and deep learning. He has a strong professional industrial collaboration with top-notch companies of artificial intelligence and hardware designs. He has supervised more than 40 students at B.S., M.S., and Ph.D. level in their research and development activities. He is a certified deep learning specialist with a focus on natural language processing (NLP), computer vision (CV), and speech recognition (SR). His research interests include natural language processing (NLP), Python programming, computer vision, artificial intelligence, machine learning, deep learning, digital system designs, microelectronics, field programmable gate arrays (FPGAs), and very large scale integration (VLSI).