Open Positions
Talented individuals (Ph.D. in computer sciences, Informatics, or bioinformatics with a strong interest and/or experience in working on genomic and/or biomedical big data problems) looking for postdoctoral opportunities, please contact us with your current CV, a one-page research statement, and the names and contact information of at least three references.
Research Fellows:
Vinayakumar Ravi, Ph.D.: September 2019 thru August 2020.
Past and current students (M.S. or Ph.D. - Bioinformatics, Computer Science, and Others, University of Cincinnati):
| Student Name | Degree | Thesis Title | Year of Graduation | Current Position |
| Bioinformatics | ||||
| Jing Chen | Ph.D. | Computational Selection and Prioritization of Disease Candidate Genes | 2008 |
|
| Sivakumar Gowrisankar | Ph.D. | Predicting Functional Impact of Coding and Non-Coding Single Nucleotide Polymorphisms | 2008 |
|
| Xiaoyan Qu | Ph.D. | Discovery and Prioritization of Drug Candidates for Repositioning Using Semantic Web-based Representation of Integrated Diseasome-Pharmacome Knowledge | 2009 |
|
| Vivek Kaimal | Ph.D. | Computational approaches to study microRNA networks | 2010 |
|
| Michael Lape | Current |
|
||
| Computer Science | ||||
| Amit U Sinha | Ph.D. | Discovery and Analysis of Genomic Patterns: Applications to Transcription Factor Binding and Genome Rearrangement | 2008 |
|
| Mrunal Deshmukh | M.S. | A Concept Based Genomic Data Exploration System | 2008 |
|
| Faris Alqadah | Ph.D. | Clustering of Multi-Domain Information Networks | 2010 |
|
| Sandhya Shahdeo | M.S. | miR-Drug Relationships: Mining and Discovering bi-domain dense subclusters using greedy randomized algorithm | 2010 |
|
| Ravi Kumar Chatnahalli Sugandharaju | M.S. | Gaussian Deconvolution and MapReduce approach for Chipseq Analysis | 2010 |
|
| Chunsheng (Victor) Fang | Ph.D. | Novel Frameworks for Mining Heterogeneous and Dynamic Networks | 2011 |
|
| Abhik Banerjee | M.S. | Discovery of overlapping 1-closed biclusters | 2012 |
|
| Minlu Zhang | Ph.D. | Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery | 2012 |
|
| Cheng Zhu | Ph.D. | Efficient network based approaches for pattern recognition and knowledge discovery from large and heterogeneous datasets | 2013 |
|
| Arjun Bakshi | M.S. | 2013 |
|
|
| Mohammad Rawashdeh | Ph.D. | 2013 |
|
|
| Chao Wu | Ph.D. | Intelligent data mining on large-scale heterogeneous datasets and its application in computational biology | 2014 |
|
| Britney Bogard | M.S. | Topic modeling: a novel approach to drug repositioning using metadata | 2014 |
|
| Vineet Joshi | Ph.D. | Unsupervised anomaly detection in numerical datasets | 2015 |
|
| Jagadeesh Patchala | Ph.D. | Data mining algorithms for discovering patterns in text collections | 2016 |
|
| Suryanarayana Yaddanapudi | M.S. | High-risk patient identification: Patient similarity, missing data analysis, and pattern visualization | 2016 |
|
| Anusha Kantamneni | M.S. | Identifying communities as core-periphery structures in evolving networks | 2016 |
|
| Divya Sardana | Ph.D. | Analysis of meso-scale structures in weighted graphs | 2017 |
|
| Lalit Kumar | Ph.D. | Scalable map-reduce algorithms for mining formal concepts and graph substructures |
2018 |
|
| Jaswanth Yella | M.S. | Machine learning-based prediction and characterization of drug-drug interactions | 2018 |
|
| Suryanarayana Yaddanapudi | Ph.D. |
Machine learning-based drug-disease relationship prediction and characterization |
2019 |
|
| Sudhir Ghandikota | Ph.D. | Novel representation learning methodologies for consensus module detection, candidate gene prioritization, and biomarker discovery | 2023 |
|
| Jaswanth Yella | Ph.D. | Modeling Complex Networks via Graph Neural Networks | 2023 |
|
| Asma Alshammari | Ph.D. | Retrieval and Labeling of Documents Using Ontologies: Aided by a Collaborative Filtering | 2023 | |
| Others (MDB, MSTP, Systems Biology, MolGen, Pathology, Biostatistics) | ||||
| Gopinath Sundaramurthy | Ph.D. | A probabilistic approach for automated discovery of biomarkers using expression data from microarray or RNA-Seq datasets | 2016 |
|
| Karthickeyan Chella Krishnan | Ph.D. | 2015 |
|
|
| Yunguan Wang | Ph.D. |
Data-driven approaches for understanding development, disease and identifying therapeutics |
2018 |
|
| Huan Xu | Ph.D. |
Controlling false positive rate in network analysis of transcriptomic data |
2019 |
|
| Lixia Zhang | Ph.D. candidate |
Learning the Mechanisms of Action of Chemical Perturbagens from their Transcriptional Signatures |
2022 |
|
| Yashaswini Ramananda |
Ph.D. candidate |
Current |
|
|
| Amanda McGann | M.D./Ph.D. candidate | 2024 | ||
| Jean-Pierre Amoakon | Ph.D. candidate | Current |
|
|
| Xiaoxuan Liu | Ph.D. candidate | Current |
|
|
Search Electronic Theses & Dissertations (ETD) Center
This page was last updated on April 3, 2024.