Ajay JONEJA 周阿杰
Ajay JONEJA 周阿杰 

Email

Email e.g. xxx@ust.hk
joneja@ust.hk

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Scopus ID

First Name (and Middle Name If Any)
Ajay
JONEJA
周阿杰
Highest Degree Acquired (e.g. PhD in Engineering Science)
PhD in Industrial Engineering, Purdue University

Contact Information

Email

Email e.g. xxx@ust.hk
joneja@ust.hk

Office

Google Scholar

Scopus ID

Research Interests

Research Interests
Architectural geometry
Computer-aided design and manufacturing (CAD/CAM)
Rapid prototyping

Biography

Biography

Prof Joneja obtained his BTech in Mechanical Engineering from the Indian Institute of Technology at Kanpur, India. He then went to study Industrial Engineering at Purdue University, where he received his MSIE (1989) and PhD (1993). He subsequently joined the Department of Industrial Engineering and Decision Analytics at HKUST as a Professor.

Prof Joneja's focus of research is in the area of automation of process planning, with emphasis on design representations and planning methods. He is interested in CAD/CAM issues related to manufacturing planning in areas such as machining, rapid prototyping, or mechanical assembly. The problem solving methods include a host of tools ranging from search strategies and heuristics to computational geometry and geometric reasoning. He is also involved in automation of assembly, and design of devices for rapid turnaround assembly systems.

Research Interests

Research Interests
Architectural geometry
Computer-aided design and manufacturing (CAD/CAM)
Rapid prototyping

Biography

Biography

Prof Joneja obtained his BTech in Mechanical Engineering from the Indian Institute of Technology at Kanpur, India. He then went to study Industrial Engineering at Purdue University, where he received his MSIE (1989) and PhD (1993). He subsequently joined the Department of Industrial Engineering and Decision Analytics at HKUST as a Professor.

Prof Joneja's focus of research is in the area of automation of process planning, with emphasis on design representations and planning methods. He is interested in CAD/CAM issues related to manufacturing planning in areas such as machining, rapid prototyping, or mechanical assembly. The problem solving methods include a host of tools ranging from search strategies and heuristics to computational geometry and geometric reasoning. He is also involved in automation of assembly, and design of devices for rapid turnaround assembly systems.