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Profile Details
Hire Arko B.
United States
AI, ML, and Data Science expert with 12+ years of experience in academia, industry, research, and consulting
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing
Research
Feasibility Study,
Scientific and Technical Research
Consulting
Healthcare Consulting,
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Product Development
Concept Development
Work Experience
Associate Professor
Rice University
May 2025 - Present 
Assistant Professor
Rice University
July 2020 - May 2025
Postdoc, Instructor
The University of Texas Health Science Center at Houston
June 2018 - June 2020
Graduate Teaching Assistant and Research Assistant
University of Houston
September 2013 - May 2018
Machine Learning/ Computer Vision Intern
Xerox PARC
May 2016 - August 2017
Education
Doctor of Philosophy (Computer Science)
University of Houston
2013 - 2018
Master of Engineering (Signal Processing) (Electrical Engineering)
Indian Institute of Science
2009 - 2011
Bachelor of Electrical Engineering (Electrical Engineering)
Jadavpur University
2005 - 2009
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
Khang Ma, Hosei Nakajima, Nipa Basak, Arko Barman, Rinki Ratnapriya (2025). Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degeneration . npj Genomic Medicine.
José C Bravo, Lierni Ugartemendia, Arko Barman, Ana B Rodríguez, José A Pariente, Rafael Bravo (2024). Bibliometric analysis on cannibalism/infanticide and maternal aggression towards pups in laboratory rodents . Laboratory Animals.
Shujuan Meng, Thi My Linh Tran, Mingzhe Hu, PanPan Wang, Thomas Yi, Zhusi Zhong, Luoyun Wang, Braden Vogt, Zhicheng Jiao, Arko Barman, et al. (2022). End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study . Journal of Stroke and Cerebrovascular Diseases.
Katie Hogan, Briana Macedo, Venkata Macha, Arko Barman, Xiaoqian Jiang(2021). Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation . JMIR Medical Informatics. {JMIR} Publications Inc.
Katie Hogan, Briana Macedo, Venkata Macha, Arko Barman, Xiaoqian Jiang(2021). Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation . JMIR Medical Informatics. {JMIR} Publications Inc.
Kendall J. Kiser and Arko Barman and Sonja Stieb and Clifton D. Fuller and Luca Giancardo(2021). Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow . Journal of Digital Imaging. 34. (3). p. 541--553. Springer Science and Business Media {LLC}
Arko Barman, Shishir K. Shah(2021). A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-Identification . IEEE Transactions on Pattern Analysis and Machine Intelligence. 43. (3). p. 753--765. Institute of Electrical and Electronics Engineers ({IEEE})
Kendall J. Kiser and Sara Ahmed and Sonja Stieb and Abdallah S. R. Mohamed and Hesham Elhalawani and Peter Y. S. Park and Nathan S. Doyle and Brandon J. Wang and Arko Barman and Zhao Li and W. Jim Zheng and Clifton D. Fuller and Luca Giancardo(2020). PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines . Medical Physics. 47. (11). p. 5941--5952. Wiley
Pakinam Aboutaleb and Arko Barman and Victor Lopez-Rivera and Songmi Lee and Farhaan Vahidy and James Fan and Sean Savitz and Luca Giancardo and Sunil A Sheth(2020). Abstract WP405: Automated Detection of Hemorrhagic Stroke From Non-Contrast Computed Tomography: A Machine Learning Approach . Stroke. 51. (Suppl{\_}1). Ovid Technologies (Wolters Kluwer Health)
Sunil A. Sheth and Victor Lopez-Rivera and Arko Barman and James C. Grotta and Albert J. Yoo and Songmi Lee and Mehmet E. Inam and Sean I. Savitz and Luca Giancardo(2019). Machine Learning–Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography . Stroke. 50. (11). p. 3093--3100. Ovid Technologies (Wolters Kluwer Health)
Danilo Pena and Arko Barman and Jessika Suescun and Xiaoqian Jiang and Mya C. Schiess and Luca Giancardo and(2019). Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach . Frontiers in Neuroscience. 13. Frontiers Media {SA}
Sunil A Sheth and Mehmet E Inam and Arko Barman and Songmi Lee and Sean I Savitz and Luca Giancardo(2019). Abstract WP77: Automated Accurate Determinations of Acute Infarct Core Volumes From CT Angiography Using Machine Learning . Stroke. 50. (Suppl{\_}1). Ovid Technologies (Wolters Kluwer Health)
CONFERENCE PAPER
Huafeng Liu, Benjamin Dowdell, Todd Engelder, Zarah Pulmano, Nicolas Osa, Arko Barman (2025). Glioblastoma tumor segmentation using an ensemble of vision transformers . Medical Imaging 2025: Computer-Aided Diagnosis.
Arko Barman (2024). A Novel Near-Peer Mentoring Model Involving Doctoral Students in an Interdisciplinary Client-Facing Project-Based Learning Course . 2024 IEEE Frontiers in Education Conference (FIE).
Arko Barman, Su Chen, Genevera I. Allen (2024). Evaluating Individual Contributions in Teams for Project-Based Learning in Data Science . 2024 IEEE Frontiers in Education Conference (FIE).
Arko Barman (2024). Effectiveness of Implementing Team Contracts in a Client-Sponsored Project-Based Learning Course . 2024 IEEE Frontiers in Education Conference (FIE).
Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, et al. (2022). Deep object detection for waterbird monitoring using aerial imagery . 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Arko Barman, Su Chen, Andersen Chang, Genevera Allen (2022). Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course . 2022 IEEE Frontiers in Education Conference (FIE).
Arko Barman, Leslie S. Beckman, Yasmin Chebaro (2022). Interdisciplinary Computing Education: An Introductory Programming and Data Science Course for Postdoctoral Researchers in the Biosciences . 2022 IEEE Frontiers in Education Conference (FIE).
Arko Barman and Victor Lopez-Rivera and Songmi Lee and Farhaan Vahidy and James Z. Fan and Sean I. Savitz and Sunil A. Sheth and Luca Giancardo(2020). Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage . Medical Imaging 2020: Computer-Aided Diagnosis. {SPIE}
Arko Barman and Mehmet E. Inam and Songmi Lee and Sean Savitz and Sunil Sheth and Luca Giancardo(2019). Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks . 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). {IEEE}
Arko Barman and Shishir K. Shah(2018). A Generalized Optimization Framework for Score Aggregation in Person Re-identification Systems . 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). {IEEE}
Arko Barman and Wencheng Wu and Robert P. Loce and Aaron Michael Burry(2018). Person Re-identification Using Overhead View Fisheye Lens Cameras . 2018 IEEE International Symposium on Technologies for Homeland Security (HST). {IEEE}
Arko Barman and Shishir K. Shah(2017). SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems . 2017 IEEE International Conference on Computer Vision (ICCV). {IEEE}
Arko Barman and Shishir K. Shah(2017). Distance Aggregation based Score Fusion for improving person re-identification . 2017 IEEE International Symposium on Technologies for Homeland Security (HST). {IEEE}
Arko Barman and Shishir K. Shah(2016). Improving person re-identification systems . Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '16. {ACM} Press
PREPRINT
Jeffrey Joan Sam, Janhavi Sathe, Nikhil Chigali, Naman Gupta, Radhey Ruparel, Yicheng Jiang, Janmajay Singh, James W. Berck, Arko Barman(2025). A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers . arXiv
Maryam Khalid, Fadeel Sher Khan, John Broussard, Arko Barman(2024). Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease . arXiv
José C. Bravo, Lierni Ugartemendia, Arko Barman, Ana B. Rodríguez, José A. Pariente, Rafael Bravo (2023). Bibliometric analysis on cannibalism/infanticide and maternal aggression towards pups in laboratory animals .
Lei H, Lu W, Ji A, Bertram E, Gao P, Jiang X, Barman A(2021). COVID-19 Smart Chatbot Prototype for Patient Monitoring .
Lei H, Lu W, Ji A, Bertram E, Gao P, Jiang X, Barman A(2021). COVID-19 Smart Chatbot Prototype for Patient Monitoring .
(2020). Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models.
CONFERENCE PRESENTATION
Arko Barman, Rinki Ratnapriya, Khang Ma (2024). Cellular and molecular changes in retinal microglia contributes to neurodegeneration in AMD . ARVO Annual Meeting.
Arko Barman, Rinki Ratnapriya, Khang Ma (2023). Machine learning approaches to identify genes related to Age-related Macular Degeneration . ARVO Annual Meeting Abstract.
Arko Barman, Brielle Bryan (2022). The Color Line in the Issuance of Speeding Tickets: Uncovering Systemic Bias in Texas Traffic Stops . American Society of Criminology Annual Meeting.
Arko Barman, Brielle Bryan, Su Chen, Tejeshwine Viswanathan, Minxuan Luo (2022). The Color Line in the Issuance of Speeding Tickets: Uncovering Systemic Racial Biases in Texas Traffic Stops . APPAM Fall Research Conference.
OTHER
Katie Hogan, Briana Macedo, Venkata Macha, Arko Barman, Xiaoqian Jiang (2021). Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation (Preprint) .
PATENT
(2021). System and method for person re-identification using overhead view images.
Ratings and Comments
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