Suffolk Reporter

Hong Qin, a professor at Stony Brook University's Department of Computer Science, has been awarded the 2024 Solid Modeling Association (SMA) Pioneer Award. This recognition is for his significant contributions to geometric modeling and physics-based simulation. The award criteria include advancing solid modeling through leadership, influential research, or technological advancements over 25 years.

"Qin has made outstanding contributions to geometric modeling and physics-based simulations, which are essential in driving advancements across industries from computer graphics to engineering," stated Samir Das, professor and chair of the Department of Computer Science. "His recent recognition as an SMA Pioneer highlights his groundbreaking work and unwavering dedication. We take immense pride in having such an influential leader in our department, inspiring us all to push the boundaries of innovation."

During his PhD studies at the University of Toronto, Qin developed D-NURBS (Dynamic Non-Uniform Rational B-splines). This innovative technique combined conventional geometric models with physics-based simulations. It marked the start of Qin's pioneering work by bridging static geometry with dynamic physical interactions. His efforts have significantly impacted fields like computer graphics and simulation.

In addition to D-NURBS, Qin's expertise in B-splines and NURBS (Non-Uniform Rational B-Splines) has enhanced his ability to integrate geometric precision with dynamic simulations. His research benefits applications requiring detailed physics-driven modeling such as computer graphics, engineering simulations, and animation. By merging mathematical rigor with real-world physics, Qin has transformed solid modeling capabilities.

Beyond technical achievements, Qin plays a leadership role within the field by chairing major conferences and serving on editorial boards. He contributes actively to the growth and direction of geometric modeling and computing. His involvement in the Symposium on Solid and Physical Modeling has been crucial for shaping its future.