Dr. Riaz Ahmad
is working as
Professor
in the
School of Mechanical & Manufacturing Engineering
. Dr. Riaz Ahmad
has a PhD in
Aeronautical Manufacturing
. Dr. Riaz Ahmad
has published
38
research articles & conference papers having a citation count of
703
, carried out
1
projects and filed
0
intellectual property.
Research Tags
Aerospace Engg
CAD/CAM
Computer Aided Process Planning
Energy Consumption
Industrial Manufacturing
Machining
Manufacturing Processes
Optimization
Product lifecycle management
RFID Technology
Statistical analysis of energy consumption, tool wear and surface roughness in machining of Titanium alloy (Ti-6Al-4V) under dry, wet and cryogenic conditions2019
Journal: International Journal of Advanced Manufacturing Technology, Volume 100, Issue 1–4, Pages 843–855
Impact Factor: 2.633Citations: 51Quartile: 2
Multi-objective optimization of turning titanium-based alloy Ti-6Al-4V under dry, wet, and cryogenic conditions using gray relational analysis (GRA)2020
Journal: IOSR Journal of Mechanical and Civil Engineering, Volume 7, Issue 4, Pages 96-112
Impact Factor: N/ACitations: 0Quartile: N/A
Unsupervised Artificial Neural Network (ANNs) for Intelligent Pheromone Up- gradation, Further Evolution of Neural Augmented Ant Colony Optimization ( NaNCO)2013
Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain–Machine Interface (BMI)2021
Conference: International Conference on Neuroergonomics and Cognitive Engineering, 2019 and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, 2019
Citations: N/A
Efficient Extreme Learning Machine (ELM) Based Algorithm for Electrocardiogram (ECG) Heartbeat Classification
Conference: AHFE Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, 2020
Citations: N/A
Minimizing Makespan for Machine Scheduling and Worker Assignment problem in Identical Parallel Machine Models Using GA