Data Management and Mining Lab: People

People

Faculty

Prof. Petko Bogdanov Petko Bogdanov is an Associate Professor in the computer science department of University at Albany–SUNY. His research interests include data mining and management with a focus on graph data and applications to bioinformatics, neuroscience, data-driven nanomaterials and sociology.: Petko Bogdanov is an Associate Professor in the computer science department of University at Albany–SUNY. His research interests include data mining and management with a focus on graph data and applications to bioinformatics, neuroscience, data-driven nanomaterials and sociology.

PhD Students

Elham Sadeghi Elham’s search is on machine learning for nanomaterial design. Specifically her work focuses on generative models trained by experimental data and employed to optimize multiple material properties. She obtained her M.Sc. of Information Technology from the Islamic Azad University, Safashar Branch, Iran in 2017 and BSc of Information Technology from Payame Noor University, Safashahr Branch, Iran in 2013.: Elham’s search is on machine learning for nanomaterial design. Specifically her work focuses on generative models trained by experimental data and employed to optimize multiple material properties. She obtained her M.Sc. of Information Technology from the Islamic Azad University, Safashar Branch, Iran in 2017 and BSc of Information Technology from Payame Noor University, Safashahr Branch, Iran in 2013.
Maxwell J. McNeil Maxwell McNeil is a PhD student at the University at Albany-SUNY. His research interests include developing novel algorithms for mining data on networks where nodes have associated temporal patterns. He has a particular focus on employing interpretable dictionary bases.: Maxwell McNeil is a PhD student at the University at Albany-SUNY. His research interests include developing novel algorithms for mining data on networks where nodes have associated temporal patterns. He has a particular focus on employing interpretable dictionary bases.
Boya Ma Boya is insterested in data mining and machine learning in time series and graphs. His current project is on graph inference for time series data. He received an MS from Syracuse University in 2015, majoring in Computer Science.: Boya is insterested in data mining and machine learning in time series and graphs. His current project is on graph inference for time series data. He received an MS from Syracuse University in 2015, majoring in Computer Science.

Undergraduate Students

Max Solomon Max is working on machine learning for nanomaterials design.: Max is working on machine learning for nanomaterials design.

Alumni

Alexander Gorovits (PhD, 2021) PhD Thesis: Mining Subgroups From Temporal Data: From the Parts to the Whole NOW: Researcher at Regeneron Pharmaceuticals, Inc.
Lin Zhang (PhD, 2020) PhD Thesis: Structured data mining: networks, time series, and time series of networks NOW: Researcher at Tencent
Daniel DiTursi (PhD, 2019) PhD Thesis: Wrinkles in Time: An Exploration of Non-Uniform Temporal Resolution in Network Data NOW: Faculty Member at Siena College
Fariha Moomtaheen Project: Machine learning-aided nano material design NOW: MS Student at UFlorida.
Matthew Killeen (BS, 2022) Project: Machine learning-aided nano material design NOW: Associate Software Engineer at Infosys Ltd.
Carolyn S. Kaminski (MS, 2022) Project: Optimal temporal resolution for information diffusion on networks. NOW: Software Engineer.
Akshit Bansal (MS, 2019) Project: Simulation of diffusion processes in online social networks NOW: Data Analyst at Cox Automotive Inc.
James T. Oswald (BS 2021) Project: Nanomaterials design NOW: PhD at RPI
Abraham Zakharov (MS, 2020) Project: Human mobility visualization and analysis NOW: Programmer Analyst at Mount Sinai
Parth A. Shihora (MS, 2019) Project: Deep learning and social behavior simulation
Francisco Cancedda (BS, 2019) Project: mining spatio-temporal networks.
Xhuliano Brace (BS and BA, 2020) Project: Time series analysis and neural decoding NOW: Engineer at Amazon
James Heinlein (BS, 2019) Project: Synchronization in networks NOW: Applied Researcher (ML) at IBM
Shervin Shahidizandi (MS, 2018) Project: Simulation of diffusion processes in online social networks
Khushboo D Shah (BS, 2018) Project: Deep learning for nanomaterial design
Gregory Katsios (MS, 2017) Project: Mining temporal properties of diffusion processes in networks NOW: PhD student at RPI
Sruthi Gudibandi (MS, 2016) Project: DNA design for silver cluster synthesis NOW: Data Systems specialist at Health Research Inc.
Navita Jain (MS, 2016) MS Thesis: Synchronous Subgraphs in Networks
Timothy Larock (BS, 2016) Honors Thesis: Wireless Frequency Spectrum Characterization and Transmitter Detection Using Wavelets. NOW: PhD student at Northeastern University
Gaurav Ghosh (MS, 2016) MS Thesis: Network Pruning for Scaling Dynamic Community Detection NOW: Software engineer at Sensity Systems (part of Verizon)