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Dr. Muhammad Umer       ( Chairperson )

Assistant Professor

Cell: 00321-5682416      Email: mumer@case.edu.pk; umerbayyone@gmail.com

Description:
Dr. Muhammad Umer relates to almost fifteen years of National and International experience in Manufacturing and supply chains with Multinational giants like Airbus Helicopters, Turrbomeca, Bell Helicopters, Textron Lycoming, Rolls Royce…He has a B.E in Aeronautical Engineering (1998) from College of Aeronautical Engineering (CAE), NUST. He completed his Masters in “Engineering Management” from C.A.S.E, UET Taxila in 2006. As a Technology Enthusiast, he also has a “Certificate in Nanotechnology” (2006-2007) from “Stanford University” USA.He is the first PhD in “Manufacturing Engineering” of SMME (School of Mechanical and Manufacturing Engineering), N.U.S.T ( 2012-2015) with Ant Colony Optimization ( ACO), its extension and application for optimization as main area of concentration. He has contributed to Pakistani Academia and Industry in various capacities and has numerous international publications to his credit. His consultancy in Pakistan encompasses Corporate trainings and industrial projects in areas of Supply Chain Management, Industrial automation, Project Management, Quality Systems to the participants from Pharmaceutical Industry, Glass Fabrication Industry, Pakistan Air Force, PTCL, NESPAK, Pakistan Army, KRL, Logistics Service Providers, KSB Pumps, Shifa Hospital, Textile Industry, Academia etc….

Educational Qualification:
Degree Specialization University Year
PHD Industrial Engg NUST, Islamabad 2015
MS/Mphil Engg Management CASE, Islamabad 2006

                                                                                                                                                                                                                               

Work Experience:
Designation From To Company
Technical Manager/Engineering Officer 1998 2008 Pakistan Army (Aviation Engineering)
Assistant Professor 2009 2012 IQRA UNIVERSITY, Islamabad Campus
Assistant Professor 2013 Till Now CASE, Islamabad
Consultant NESPAK ( Project Management) 2010 2014 Leadership and Management Development Associates
Consultanat PTCL Training and Academic Wing 2013 Till Now PTCL, Pakistan

                                                                                                                                                                                                                               

Research Interest:
Title Description
Optimization through Swarm Intelligence The area pertains to usage of various SI meta-heuristics including but not limited to Ant Colony Optimization, Bee Colony Optimization and its variants in broad variety of applications ranging from supply chain to manufacturing processes in order to gain efficiency and reduce waste
Supply Chain Management Including Logistics, Transportation, ERP, Procurement, etc etc and various facets within these fields such as vendor selection criteria, supply chain optimization, resource scheduling and forecasting
Project Management Project Risk Management, Project simulation Management
Manufacturing Managenment Machine Scheduling ( FJSSP, JSSP etc), Artificial Neural Networks for Manufacturing, CIM, Rapid Prototyping

                                                                                                                                                                                                                               


                                                                                                                                                                                                                               

Memberships:
Organization Title From To
American Society of Engineering Management (ASEM) Pakistan Chapter Vice President 2015 2015

                                                                                                                                                                                                                               

Courses Taught:
Title
Statistical Inference and Applied Statistics
SUPPLY CHAIN MANAGEMENT (CORE CONCEPTS)
PROCUREMENT AND SOURCING
TRANSPORTATION AND LOGISTICS MANAGEMENT
MARKETING OF PRODUCTS AND SERVICES
MECHANICS
CONTRACT MANAGEMENT
PROJECT EVALUATION AND CONTROL
INTEGRATED MARKETING COMMUNICATIONS
CONSUMER BEHAVIOUR
ENTERPRISE RESOURCE PLANNING

                                                                                                                                                                                                                               

Key Publications (Journals & Books):
S.No. Key Publications
1 Muhammad Umer, Dr. Riaz Ahmad “Energy Optimization and Forecasting in Manufacturing Layouts and Setups through Neural Augmented Ant Colony Optimization (NaACO)-Applications in Pakistani Industry”. Applied Energy. ISSN: 0306-2619. Impact Factor: 4.781
2 PAKEEZA Bukhari, RIAZ Ahmed, Muhammad Umer “Ant Colony Optimization for Type 2 Assembly Line Balancing Problem”. Mechanics and Industry Journal. ISSN: 2257-7777. Impact Factor: 0.127 (2012).
3 Muhammad Umer, Dr. Riaz Ahmad, Dr. Imran Chaudhry “ Application of Neural Augmented Ant Colony Optimization (NaACO) Meta Heuristics to tackle Assembly Line Redundancy Situations” Chinese Journal of Mechanical Engineering. ISSN: 1000-9345. Impact Factor: 0.263 (2012), Beijing China.
4 Muhammad Umer, Dr. Riaz Ahmad, Dr. Amir Farhan “Intelligent Scheduling in Food Production/Processing Facilities through Neural Augmented Ant Colony Optimization (NaACO) Technique” MITTEILUNGEN KLOSTERNEUBURG Journal. ISSN: 0007-5922. Impact factor: 0.106 (2013).
5 Nasir Mehmood, Muhammad Umer, Dr. Riaz Ahmad, Dr. Amer Farhan Rafique “Optimization of Makespan and Mean Flow Time for Job Shop Scheduling Problem FT06 Using ACO” Life Science Journal ISSN: 1097-8135 pp- 1077-1084 Impact Factor 0.165, Beijing China.
6 Muhammad Umer, Dr. Riaz Ahmad, Dr. Imran Chaudhry “ Unsupervised Artificial Neural Network (ANNs) for Intelligent Pheromone Up- gradation, Further Evolution of Neural Augmented Ant Colony Optimization ( NaACO) “ Life Science Journal ISSN: 1097-8135 PP- 318-327,Impact Factor 0.165, Beijing China
7 INTELLIGENT PHEROMONE UP GRADATION MECHANISM THROUGH NEURAL AUGMENTED ANT COLONY OPTIMIZATION (NaACO) META HEURISTIC IN MACHINE SCHEDULING

                                                                                                                                                                                                                               

Key Publications (Conferences & Workshops):
S.No. Key Publications
1 Mian Tahir Aftab, Muhammad Umer, Dr. Riaz Ahmad, “Jobs Scheduling and Worker Assignment Problem to Minimize Make-span using Ant Colony Optimization Meta-heuristic” ICIIE XXXIII 2012 , 22-23 Dec 2012 Thailand. Page 1495-1498
2 Nasir Mehmood, Muhammad Umer, Riaz Ahmad “A Survey of Recent Developments for JSSP and FJSSP Using ACO” 2013 International Conference on Manufacturing Science and Technology (ICMST 2013) 3-4 August Dubai UAE. Vol-816-817(2013) Page No. 1133-1139.
3 Muhammad Umer, Nasir Mehmood, Dr. Riaz Ahmad “Application Of Ant Colony Optimization Metaheuristic On Job Shop Scheduling Problem FT06 For Minimization Of Makespan” 2013 International Conference on Kinematics, Mechanics of Rigid Bodies and Materials, 2-4 November 2013, Jakarta Indonesia.
4 Rizwan Moeen, Dr.Riaz Ahmad, Tanweer ul Islam, Dr Shahid Ikramullah, Muhammad Umer “Supplier Sift – A Strategic Need of Modern Entrepreneurship” WASET, ICMEM, 2013 20-21 June 2013 Istanbul Turkey. Page 2037-2042.
5 Muhammad Umer, Dr. Riaz Ahmad, Dr. Amir Farhan “Neural Tau (Neuτ): Hinge-pin of Neural Augmented Ant Colony Optimization (NaACO) Technique” 2014 International conference on Fuzzy systems and Neural Networks, EUROPMENT conference, 15-17 March 2014, Venice, Italy.

                                                                                                                                                                                                                               
5/27/2023 11:15:00 AM