Ph.D. candidates on the job market

Charles Chuankai Zhang
Ph.D. Candidate
Email: [email protected]
Pronouns: He/Him
Website: chuankaizhang.com
Expertise/research area: Data Science, Machine Learning, Social Computing, Human-computer Interaction
Advisor(s): Loren Terveen
Preferred employment type: Industry, Academia
Expected date available: 05/2024

Thomas Gebhart
Ph.D. Candidate
Email: [email protected]
Pronouns: He/Him
Website: gebhartom.com
Expertise/research area: Machine Learning, Applied Topology, Graph Learning, Science of Science
Advisor(s): Paul Schrater
Dissertation topic: Relational Deep Learning from the Perspective of Cellular Sheaves
Preferred employment type: Industry, Academia, Post-doc/research staff
Expected date available: 01/01/2024

Sofia Kirsanova
Ph.D. Candidate
Email: [email protected]
Pronouns: She/Her
Expertise/research area: Geospatial data, data mining, data science, machine learning, computer Vision
Advisor(s): Yao-Yi Chiang
Preferred employment type: Industry, Academia
Expected date available: 5/31/2028

Udhaya Kumar Dayalan
Ph.D. Candidate
Email: [email protected]
Pronouns: He/Him
Website: linkedin.com/in/udhaya-kumar-dayalan-23503ba/
Expertise/research area: Networking, IoT, 5G/6G, Security, Privacy, Machine Learning
Advisor(s): Zhi-li Zhang
Dissertation topic: Designing NextG for IoT Devices
Preferred employment type: Industry, Academia
Expected date available: 11/11/2023

Zekun Li
Ph.D. Candidate
Email: [email protected]
Website: zekun-li.github.io/
Expertise/research area: Natural Language Processing, Computer Vision, Machine Learning, Data Science, GIS
Advisor(s): Yao-Yi Chiang
Dissertation topic: Geospatial Data Understanding: A Peek into Historical Maps and Contemporary Structured Databases
Preferred employment type: Industry
Expected date available: 01/15/2024

Somya Sharma Chatterjee
Ph.D. Candidate
Email: [email protected]
Pronouns: She/Her
Website: sites.google.com/umn.edu/somya-sharma/home?authuser=0
Expertise/research area: Machine Learning, Data Science, Explainable AI
Advisor(s): Vipin Kumar
Dissertation topic: Towards Explainable Physics-Guided Machine Learning
Preferred employment type: Industry, Academia
Expected date available: 31/01/2024