Devin Tao

Dr. Dingwen Tao from the School of Electrical Engineering and Computer Science at Washington State University invites applications for Ph.D. studies in the areas of high-performance computing, parallel and distributed systems, and distributed deep learning. Students will be fully funded by research/teaching assistantship. Dr. Tao has published many papers in top HPC and Big Data conferences and journals, including ACM HPDC, ACM ICS, ACM ICPP, ACM PPoPP, ACM PACT, IEEE/ACM SC, IEEE BigData, IEEE CLUSTER, IEEE DAC, IEEE IPDPS, IEEE Transactions on Parallel and Distributed Systems (TPDS), IJHPCA, etc. His research has been supported by the National Science Foundation, Department of Energy, National Oceanic and Atmospheric Administration, and Xilinx. More details of Dr. Tao's research and projects can be found at: https://www.dingwentao.com/research Qualified candidates are expected to have strong programming experiences in C/C++ and Python under Linux platform and good English writing skills. Students with prior research experience in parallel computing (MPI/OpenMP) and/or acceleration technologies (GPGPU/FPGA) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at dingwen.tao@wsu.edu and apply online at https://gradschool.wsu.edu/apply/ 120 days before the beginning of the semester for full consideration. Please indicate Dr. Tao as your potential advisor in your statement of purpose. Why WSU EECS? Ranking: WSU is an R1 public research university and has high CS rankings: According to Washington Monthly, WSU ranks #47 in the list of top national public universities in U.S. According to US News Rankings, WSU CS graduate program ranks #75 in U.S. According to CS Rankings, WSU ranks #7 in design automation, #17 in HPC, #54 in database, #57 in AI, #61 in all system areas, and #74 in all areas in U.S. Faculty: 90% of WSU EECS junior faculty members have received prestigious federal young investigator awards, such as NSF/DOE/DOD Early Career Award. Students in EECS also won highly competitive PhD fellowships such as Microsoft PhD Fellowship. Job Opportunity: WSU is also close to Pacific Northwest National Laboratory (PNNL) and has a joint program with PNNL, providing many collaboration opportunities with high-impact, national science and engineering research, especially HPC. Dr Tao's group has close collaborations with many national research laboratories such as Argonne National Lab, Pacific Northwest National Lab, Los Alamos National Lab, Oak Ridge National Lab to develop emerging research and technology into real-world applications. Most PhD students have opportunities to intern at these national labs to work on fantastic collaborative projects. Location: WSU is located in Pullman close to several big cities including Seattle, Portland, and Boise, which have many giant IT companies such as Amazon, Microsoft, Boeing, Intel, Micron. Living cost is quite reasonable. Pullman has generally nice climates, safe neighborhoods, and beautiful outdoors/scenery. Graduate students can enjoy an excellent quality of life.

Dr. Dingwen Tao from the Department of Computer Science at The University of Alabama invites applications for Ph.D. studies in the areas of high performance computing, parallel and distributed systems, and big data analytics. Students will be fully funded by research/teaching assistantship. Dr. Tao has published many papers in top HPC and Big Data conferences and journals, including IEEE BigData, ACM HPDC, IEEE IPDPS, ACM PPoPP, ACM/IEEE SC, SAGE IJHPCA. His research has been supported by National Science Foundation, Department of Energy, Argonne National Laboratory, Brookhaven National Laboratory. More details of Dr. Chen's research can be found at: https://sites.google.com/site/dingwentaoshomepageua/. Qualified candidates are expected to have strong programming experiences in C, C++ and Python under Linux platform and good English writing skills. Students with prior research experience in parallel computing (MPI/OpenMP) and/or acceleration technologies (GPGPU/KNL/FPGA) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at ustc.dingwentao@gmail.com and apply online at https://graduate.ua.edu/prospective-students/apply-now/ before April 15th for full consideration of 2018 Fall admission.