The Optical Computing Systems Laboratory, directed by Steve Levitan, PhD, supports joint research with Computer Science in guided wave optical computing, communications, and storage. Equipment consists of two high speed sampling oscilloscopes: a Tek 11402 3GHz digitizing scope and a Tek CSA803 50GHz Communications Signal Analyzer, as well as a Tek 1240 Logic Analyzer, assorted bench equipment: supplies, function generators, etc. and facilities for PCB design and prototyping of opto-electronic sub-systems.
The Organizational Innovation Lab was established under Dean James Martins vision to bring humanness back into engineering. The Lab accomplishes this mission by applying theories in leadership and organizational research to innovate organizational practices. The Lab envisions a future where a vibrant network structure is established for optimal information flow, unity in mission is established to reach cohesion while diversity of ideas is valued to reach better decisions, and nonlinear thinking is practiced by every organizational member. Just as music ensembles or sport teams need practice to perform well, organizations need practice to work together effectively as a team. The Lab provides a platform for members to go through rapid ideation and prototyping cycles, learn together with colleagues of distinct professional backgrounds within their work context, and scale learning to the entire organization.
The Orthopaedic Engineering Laboratory, directed by Patrick Smolinski, PhD, is collaboration between the Mechanical Engineering and Materials Science Department and the Department of Orthopaedic Surgery at the University of Pittsburgh. This lab performs computational simulation and experimental evaluation of surgical procedures, injury modeling and assessment of biomechanical functions. Other activities included the medical device development, tissues engineering, characterization of tissue properties and quantitative anatomical description. The goal of this lab is the advancement of orthopaedic medicine through the application of engineering analysis.