Research
My overall research goal is to provide a bridge between modern geometry and broad engineering fields: identify important geometric problems as well as supply efficient algorithmic solutions.
o Computational Geometry and Topology: computational algorithms for geometric and topological models and tools, particular interests in Computational Conformal Geometry and Computational Hyperbolic Geometry
o Apply geometric and topological tools to solve problems in Computer Vision, Computer Graphics, Mobile and Wireless Networks, Data Analysis, and Medical Imaging.
o I also work on Machine Learning. Machine learning provides great tools for geometric problems. At the same time, geometry provides a different angle to understand machine learning algorithms.
Part of the research results has been summarized in book: "Conformal Geometry - Computational Algorithms and Engineering Applications", Publisher: Springer, publication date: June 2018. DOI: 10.1007/978-3-319-75332-4..
Sponsored Research Projects
o "RII Track-1: Louisiana Materials Design Alliance (LAMDA)", PI: Michael Khonsari, Co-PI: Shengmin Guo, Guoqiang Li, Miao Jin, Arden Moore, Funding Agency: US National Science Foundation EPSCoR, Amount of Grant: $20,000,000, Time Period: 07/01/2020 - 06/30/2025.
o "Distributed In-network Data Storage and Retrieval in 3D Wireless Sensor Networks", PI: Miao Jin, Co-PI: Hongyi Wu, Funding Agency: US National Science Foundation (CNS-1320931), Amount of Grant: $372,513, Time Period: 10/01/2013 - 09/30/2019.
o "CAREER: Theorem, Algorithm, and Applications of Computational Quasiconformal Geometry", PI: Miao Jin, Funding Agency: US National Science Foundation (CCF-1054996), Amount of Grant: $419,780, Time Period: 06/01/2011 - 09/30/2017.
o "Scalable Routing in 3D Wireless Sensor Networks", PI: Hongyi Wu, Co-PI: Miao Jin, Funding Agency: US National Science Foundation (CNS-1018306), Amount of Grant: $425,000, Time Period: 08/01/2010 - 08/31/2016.
o "Surface Geometric Structures and Their Applications", PI: Miao Jin, Funding Agency: Louisiana Board of Regents (RCS), Amount of Grant: $120,000, Time Period: 08/01/2009 - 08/31/2013.
Students Advising
Current Ph.D. Students:
o Brad Burkman (since 2019)
Current Master Students:
o Peyton LeathemBoe (since 2020)
Graduated Ph.D. Students:
o Xuan Li (Dissertation title: Charger Scheduling Optimization Framework. Graduated in December 2020, first job software engineer at Oracle.)
o Romas James Hada (Dissertation: Minimum Cost Balanced Partitioning of Social Networks. Graduated in May 2020, first job assistant professor at West Virginia University.)
o Buri Ban (Dissertation: Network Resilience Against Dynamic Changes. Graduated in December 2018, first job software engineer at WePay.)
o Yang Yang (Dissertation: Geometry in Wireless Sensor Networks: In-network Information Processing and Localization. Graduated in December 2013.)
o Su Xia (co-advised with Professor Hongyi Wu. Dissertation: Scalable and Deterministic Routing with Guaranteed Delivery in 3D Wireless Sensor Networks. Graduated in May, 2012, first job software engineer at CISCO.)
Graduated M.S. Students:
o Zachary Kirby (Graduated May 2020.)
o Zhiqian You (Graduated in May 2019, first job software engineer at Amazon.)
o Ning Ding (Graduated in December, 2010, first job software engineer at Amazon.com.)
o Yendru Revanth (Graduated in August, 2010, first job software engineer at WellCare Health Plans.)
PhD Dissertation Committee:
o Jason W Woodworth (Dissertation: Improving Education in Virtual Reality through Affective Computing and Physiological Sensing)
o Nishanth Anandanadarajah (Dissertation: Machine Learning Methods for Finding the Importance of Surface-Residues(Cα)-3D-Protein- Structure in Protein Function)
o Pisacha Srinuan (Dissertation: Adaptive Memory Expansion on Heterogeneous Computing Systems in Support of Bigdata Analytics)
o Chase J Gaudet (Dissertation: Deep Quaternion Networks.)
o Chavit Denninart (Dissertation: Cost- and QoS-Efficient Serverless Cloud Computing. Graduated in December 2020.)
o Baijun Wu (Dissertation: Using Machine Learning to Improve Type Error Debugging. Graduated in December 2020.)
o Mingmin Bai (Dissertation: Performance-Driven Hierarchical Design and Management of Network-on-Chip in Many-core System. Graduated in December 2018.)
o Satya Katragadda (Dissertation: A Framework for Real Time Event Detection for Emergency Situations from Social Media Streams. Graduated in December 2016.)
o Sumi Singh (Dissertation: Protein 3-D Structure Comparison Using Triangular Spatial Relationships. Graduated in August 2015.)
o Yao Zhao (Dissertation: Autonomous Localization in 3D Surface Wireless Sensor Networks. Graduated in August 2014.)
o Hongyu Zhou (Dissertation: Distributed Boundary Detection Algorithms for 3D Sensor Networks. Graduated in December 2012.)
o Xiaojuan Xie (Dissertation: Stimulating Cooperation in Selfish Ad Hoc Network based on 3-D Markov Chain and Two-Person Bargaining Game Models. Graduated in December 2010.)
M.S. Thesis Committee:
o Vaughan Veillon (Title: Fog Computing for Low Latency, Interactive Video Streaming. Graduated in August 2019)
o James Gentry (Title: Robust Resource Allocation of Independent Tasks in Heterogeneous Computing Systems via Probabilistic Task Pruning. Graduated in August 2018.)
o Shristi Adwkari (Graduated in December 2010)