Ran Wang

● Proposing image-based OPCVerification in place of edge-based measurements for a variety of applications (OPCV, OPC correction, ILT verification, MRC, MPC, et cetera). ● Delivering the preliminary results of some OPCV checks (distance, epe, ils/nils) on intensity gray image (grids from arial/resist simulations) instead of contours, coding via Python and dask-cuda for distributed computing. ● Validating all the curvilinear OPCV checks (distance, curvature, epe, depth_width_ratio, et cetera). ● Using lapi and Python to prototype OPC (from fragmentation to iterative correction) and OPCV APIs to interface with some customers, also substantiating some fundamental validations, such as construction of Bezier curves for piecewise-Bezier curvilinear layers. ● Adapting to use a variety of languages fitting to a diverse range of projects, Python, C/C++ (cplai/ilapi), SVRF, tvf (tcl), et cetera. ● Designing and scripting (mainly using Python) to empower and facilitate a diverse range of internal testing. ● Communicating customer requirements and testing prospective solutions to R&D within product application field. ● Filing enhancement and defect reports to address product gaps and supporting product deployment.

Parse out training data from Calibre simulation log files, and applied XGBoost and PLS models on regression analysis for simulation computational power and runtime (4 targets simultaneously). Collect DRC violations from customers, and visualize violation trends and rankings. Feedback to Design Manual team and Process Integration to upgrade the corresponding ground rules in PDK. Follow CRISP-DM to serve project customers. Automate regular updates for training dataset and models in SDE to ensure deployment and maintenance successfully.

Optimize logic diagnosis simulation (Tessent and TMax) infrastructure, and collect key simulation metrics. Oracle and Mongo DB batch query, and volume diagnosis based on bitmap stacking plot on die level and block level. Bitmap setup for products and testsites to visualize the memory failing bits. Machine learning applied on bitmap fail classification and yield enhancement.

• Design and development of automated colorimetric optoelectronic device analyzer (CODA) for clinical ammonia measurement in urine. • Developing the integration of CODA onto urine catheter. • Ammonia sensing chip fabrications. • Modifying and improving the embedded system (based on M430F5438 microcontroller) for CODA control. • Design and development of flow rate sensing system for clinical fluid volume monitoring. • Design and development of embedded system (based on M430F5438 microcontroller) for the control of flow rate sensing system, including circuits design, PCB design, and coding. • Clinical testing of ammonia and oxygen in patients’ urine sample in Mayo Clinic Hospital.

• Hands-on experiences with 7 nm FINFET process definition and design rules. • Hands-on experiences with 22/12 nm FDX process definition and design rules. • Hands-on physical layout skills/Cadence tools, Pcell pattern design, customer Pcell programming, Pcell layout automation, DRC checking, LVD checking, etc. • Understanding of critical failmodes associated with design-process interactions/weak points (BEOL SADP metal lines open/short, self-aligned vias open/short, lithography overlay, etc). • Understanding of critical failmodes associated with retargeting, RET, SRAF and OPC (coloring balance, EPE, pinch, bridge, iso/dense pattern, PW retargeting, etc). • DOE design and analysis. • Ability to review and fix layout. • Hands-on experiences to prepare in-line testing. • Si data analysis for BEOL. • Coding for QDPR and data analysis using R and Python. • Applying machine learning on standard cell DTCO prediction.

• Blood flow rate sensor in carotid artery based on catheter. • Studying relevant medical knowledge and medical devices. • Studying all kinds of invasive pressure and flow rate sensors potentially for surgical applications. • Design of the capacitive, optical and piezoelectric sensor prototype, processing, packaging, and integrations. • Simulation of the piezoelectric sensor architectures with COMSOL Multiphysics. • Design and fabrication of piezoelectric sensors based on Micro-Electro-Mechanical-System (MEMS) technologies in cleanroom.

8/2013-5/2015 Analog Integrated Circuits (EEE 433/591) 8/2011-6/2013 Circuit Ⅱ (EEE 334)

1. A low-voltage controlled solid electrolyte nano-valve for microfluidic applications 2/2013-8/2015 2. Anti-shock scheme based on dual-membrane structure in capacitive MEMS sensors and actuators 1/2014-8/2015 3. SPR (Surface Plasmon Resonance) biosensor 08/2010-02/2013 4. MEMS (Micro-Electro-Mechanical-System)-based ultrasonic electrostatic actuators emitting acoustic waves at ultrasonic frequencies 08/2010-08/2011

Design and Research of Stepping Servo Jacquard Control System for Multi-level Loop Carpet Tufting Machine