Phone: (607) 777-5081
Fax: (607) 777-4094
Engineering Building Room R10
Department of Systems Science and Industrial Engineering
Thomas J. Watson School of Engineering & Applied Science
Binghamton, New York 13902
Ph.D. in Systems Science with specialization in Manufacturing Systems from the Department of Systems Science and Industrial Engineering, State University of New York, Binghamton, New York. Dissertation research focused on the design and development of a systematic procedure to implement lead-free assembly processes in an Electronics Manufacturing Service (EMS) provider's facility. Coursework included Advanced Integrated Manufacturing Systems, Advanced Artificial Intelligence, Designing with Experiments, Processes In Electronics Manufacturing, Automated Manufacturing Systems, Expert Systems In Electronics Packaging, Principles of Engineering Management, Philosophy of Artificial Intelligence, Operations Research, Systems Design and Human Interaction, and Alternatives to SMT Using Biology.
M.S. in Industrial Engineering from the Department of Systems Science and Industrial Engineering, State University of New York, Binghamton, New York. Thesis focused on the reduction of post-placement defects in surface mount technology. Coursework included Production and Schedule Control, Justifying New Technology, Quality Assurance for Engineers, Science of Manufacturing, Integrated Manufacturing Systems, Modeling and Simulation, Digital and Microprocessing Electronics, Applied Probability & Statistics, and Mathematical Methods
B.S. in Applied Physics from Syracuse University. Courses included Analytical Mechanics I & II, Quantum Mechanics I & II, Electrical Engineering Lab I & II, Computer Applications, Experimental Physics I & II, Thermodynamics, Chemistry I & II, Modern Physics, Linear Algebra and Differential Equations, Partial Differential Equations; worked with professors on research.
My primary research interest is in utilizing Quality Engineering Techniques to continually improve Manufacturing Systems. This includes, but is not limited to: Lean Six Sigma, Manufacturing, Supply Chain Management, Design of Experiments, Decision Support Systems, Artificial Intelligence, Statistical Applications
These techniques have been applied to Electronics Manufacturing, Automobile Manufacturing, and Manufacturing Systems in general.
Presently conducting research on Additive Manufacturing, 3D Printing, Electronics Manufacturing and Direct Digital Manufacturing.
Main Research Initiatives:
Primarily interested in investigating applications of Cobotics in industry and novel applications of Additive Manufacturing in Electronics Manufacturing
- Attributes and constraints
- Equipment characterization
- Print characterization
- Quality control
- Materials and structures
- Synergy with 3D Printing
- How can 3D printing be utilized in electronics manufacturing?
Robotics & Automation
- Automated "add-ons" to 3D printers
- Automate "tricks"
Systems Engineering Analysis to accommodate Digital Manufacturing
- Traditional systems areas 'may' need updating to accommodate Digital Manufacturing
- Feasibility, standardization, capability
Secondary Research Initiatives:
Production Operations Management
- Continual process improvement mechanisms
- Novel concepts - Lean Six Sigma, SCM, Quality
- Recruitment and retention of underrepresented students
- Research component
Courses that have been instructed:
Robotics & Automation
Lean Manufacturing & Supply Chain Management
Quality Engineering / Quality Assurance / Quality Principles
Engineering Statistics I & II
Production Planning & Control
Capstone Senior Design Sequence
Science of Manufacturing (Enterprise Systems)
Principles of Systems Engineering
Simulation of Cobots is done with RoboDK simulation software.