Dr. Jian’s research interest lies in quantum many-body physics, non-equilibrium physics, and quantum information theory. In particular, current research interests of the group include quantum entanglement, open quantum systems, emergent phenomena, and quantum criticality.

Recent Publications

1. Universal Entanglement Spectrum in One-Dimensional Gapless Symmetry Protected Topological States
Xue-Jia Yu, Sheng Yang, Hai-Qing Lin, Shao-Kai Jian
Phys. Rev. Lett. 133, 026601 (2024)

2. Entanglement structure and information protection in noisy hybrid quantum circuits
Shuo Liu, Ming-Rui Li, Shi-Xin Zhang, Shao-Kai Jian
Phys. Rev. Lett. 132, 240402 (2024)

3. Subsystem complexity and measurements in holography
Shao-Kai Jian, Yuzhen Zhang
J. of High Energy Phys. 05 (2024) 241

4. Phase transitions in sampling and error correction in local Brownian circuits
Subhayan Sahu, Shao-Kai Jian
Phys. Rev. A 109, 042414 (2024)

5. Holographic weak measurement
Xinyu Sun, SK Jian
J. of High Energy Phys. 12 (2023) 157

6. Phase transition in von Neumann entropy from replica symmetry breaking
Shao-Kai Jian, Brian Swingle
J. of High Energy Phys. 11 (2023) 221

7. Linear growth of circuit complexity from Brownian dynamics
Shao-Kai Jian, Gregory Bentsen, Brian Swingle
J. of High Energy Phys. 08 (2023) 190

8. Holographic measurement and quantum teleportation in the SYK thermofield double
Stefano Antonini, Brianna Grado-White, Shao-Kai Jian, Brian Swingle
J. of High Energy Phys. 02 (2023) 095

9. Shao-Kai Jian, Chunxiao Liu, Xiao Chen, Brian Swingle, and Pengfei Zhang
Measurement-Induced Phase Transition in the Monitored Sachdev-Ye-Kitaev Model
Phys. Rev. Lett. 127, 140601 (2021)

10. Shao-Kai Jian, Yingyi Huang, and Hong Yao
Charge-4e superconductivity from nematic superconductors in 2D and 3D
Phys. Rev. Lett. 127, 227001 (2021)

Research Interests:

Quantum Many-body Physics, Non-equilibrium Physics, and Quantum Information Theory.

Google Scholar Link

About Professor Ming

Jiang Ming is a faculty member affiliated with the Department of Computer Science at Tulane University. Before that, he was a faculty member at the University of Texas at Arlington. He received his Ph.D. degree from Pennsylvania State University in 2016. He was the recipient of UTA College of Engineering Outstanding Early Career Research Award, ACM SIGPLAN Distinguished Paper Award, and ACM SIGSOFT Distinguished Paper Nomination. His Ph.D. student won Second Place in the 2022 ACM Student Research Competition Grand Finalists.

Research Interests

His research interests span Software and Systems Security, with a focus on the following specific topics:

• Binary Code Analysis and Verification for Security Issues
• Hardware-Assisted Software Security Analysis
• Mobile Systems Security
• Language-based Security

Selected Publications

• [USENIX Security ’23] Binlin Cheng, Erika A Leal, Haotian Zhang, Jiang Ming. On the Feasibility of Malware Unpacking via Hardware-assisted Loop Profiling. In Proceedings of the 32nd USENIX Security Symposium, Anaheim, CA, August 09-11, 2023.

• [ASPLOS ’22] Haotian Zhang, Mengfei Ren, Yu Lei, Jiang Ming. One Size Does Not Fit All: Security Hardening of MIPS Embedded Systems via Static Binary Debloating for Shared Libraries. In Proceedings of the 27th International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, Feb 28-March 4, 2022 (2022 ACM Student Research Competition Grand Finalists: Second Place).

• [CCS ’21] Wenna Song, Jiang Ming, Lin Jiang, Yi Xiang, Xuanchen Pan, Jianming Fu, and Guojun Peng. Towards Transparent and Stealthy Android OS Sandboxing via Customizable Container-Based Virtualization. In Proceedings of the 28th ACM Conference on Computer and Communications Security, Virtual Event, November 15-19, 2021.

• [USENIX Security ’21] Binlin Cheng*, Jiang Ming*, Erika A Leal, Haotian Zhang, Jianming Fu, Guojun Peng, and Jean-Yves Marion (*Equal Contributions). Obfuscation-Resilient Executable Payload Extraction from Packed Malware. In Proceedings of the 30th USENIX Security Symposium, Virtual Event, August 11-13, 2021.

• [PLDI ’21] Xiaolei Ren, Michael Ho, Jiang Ming, Yu Lei, and Li Li. Unleashing the Hidden Power of Compiler Optimization on Binary Code Difference: An Empirical Study. In Proceedings the 42nd ACM SIGPLAN Conference on Programming Language Design and Implementation, Virtual Event, June 23-25, 2021 (Distinguished Paper Award).

Dan is a multidisciplinary coastal scientist, interested in human-environment interactions in mangroves and seagrasses. In particular his research group uses the lens of blue carbon to understand (1) carbon cycling and other ecosystem services; (2) how blue carbon ecosystems respond to sea-level rise; (3) how blue carbon ecosystems respond to deforestation; and (4) how we can use blue carbon to promote mangrove conservation and restoration, whether through national greenhouse gas inventories or carbon credit projects. Dan’s work is often conducted in collaboration with governments, NGOs and the corporate sector.

Dan is the Co-Editor in Chief of WIREs Climate Change, and a member of the international Blue Carbon Initiative Scientific Working Group, the IUCN Mangrove Specialist Group and the Global Mangrove Alliance. Prior to joining Tulane, Dan was based at the National University of Singapore (2009-2022). For more information please visit https://www.themangrovelab.com/.

Selected Publications

For a full list visit www.themangrovelab.com/publications 

Zhang, Luo, Friess, Wang, Li. 2024. Stronger increases but greater variability in global mangrove productivity compared to that of adjacent terrestrial forests. Nature Ecology and Evolution 8, 239-250. 

Teo, Tan, Sarira, de Alban, Zheng, Rachakonda, Chen, Lim, Zhao, Tang, Friess, Koh. 2023. Uncertainties in deforestation emission baseline methodologies and implications for carbon markets. Nature Communications 14, 8277.

Friess. 2023. The potential of mangrove and seagrass blue carbon for Small Island States. Current Opinion in Environmental Sustainability 64, 101324.

Friess, Gatt, Fung, Alemu, Bhatia, Case, Chua, Huang, Kwan, Lim, Nathan, Ow, Saavedra-Hortua, Sloey, Yando, Ibrahim, Koh, Puah, Teo, Tun, Wong, Yaakub. 2023. Blue carbon science, management and policy across a tropical urban landscape. Landscape and Urban Planning 230, 104610

Hagger, Worthington, Lovelock, Amano, Brown, Friess, Landis, Mumby, Morrison, O’Brien, Wilson, Zganjar, Saunders. 2022. Drivers of global mangrove loss and gain in social-ecological systems. Nature Communications 13, 6373.

Saintilan, Kovalenko, Guntenspergen, Rogers, Lynch, Cahoon, Lovelock, Friess, et al. 2022. Constraints on the adjustment of tidal marshes to accelerating sea-level rise. Science 377, 523-527.

Friess, Adame, Adams, Lovelock. 2022. Mangrove forests under climate change in a 2°C world. WIREs Climate Change 13, e792.

Friess, Howard, Huxham, Macreadie, Ross. 2022. Capitalizing on the global financial interest in blue carbon. PLoS Climate 1, 0000061.

Friess, Gatt, Ahmad, Brown, Sidik, Wodehouse. 2022. Achieving ambitious mangrove restoration targets will need a transdisciplinary and evidence-informed approach. One Earth 5, 456-460.

Su, Friess, Gasparatos. 2021. A meta-analysis of the ecological and economic outcomes of mangrove restoration. Nature Communications 12, 5050.

Macreadie, Costa, Atwood, Friess, Kelleway, Kennedy, Lovelock, Serrano, Duarte. 2021. Blue carbon as a natural climate solution. Nature Reviews Earth & Environment 2, 826-839.

Sudmeier-Rieux, Arce-Mojica, Boehmer, Doswald, Emerton, Friess et al. 2021. Scientific evidence for ecosystem-based disaster risk reduction. Nature Sustainability 4, 803-810.

Zeng, Friess, Sarira, Siman, Koh. 2021. Global potential and financial limits of mangrove blue carbon for climate change mitigation. Current Biology 31, 1737-1743.

Friess, Yando, Abuchahla, Adams, Cannicci, Canty, Cavanaugh, Connolly, Cormier, Dahdouh-Guebas, Diele, Feller, Fratini, Jennerjahn, Lee, Ogurcak, Ouyang, Rogers, Rowntree, Sharma, Sloey, Wee. 2020. Mangroves give cause for conservation optimism, for now. Current Biology 30, R153-R154.

Friess, Yando, Alemu, Wong, Soto, Bhatia. 2020. Ecosystem services and disservices of mangrove forests and salt marshes. Oceanography and Marine Biology: an Annual Review 58, 107-142.

Zeng, Sarira, Carrasco, Chong, Friess, Lee, Taillardat, Worthington, Zhang, Koh. 2020. Economic and social constraints on reforestation for climate mitigation in Southeast Asia. Nature Climate Change 10, 842-844.

Friess, Rogers, Lovelock, Krauss, Hamilton, Lee, Lucas, Primavera, Rajkaran, Shi. 2019. The state of the world's mangrove forests: past, present and future. Annual Review of Environment and Resources 44, 89-115.

Macreadie, Anton, Raven, Beaumont, Connolly, Friess et al. 2019. The future of Blue Carbon science. Nature Communications 10, 3998.

Hamilton, Friess. 2018. Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012. Nature Climate Change 8, 240-244.

Taillardat, Friess, Lupascu. 2018. Mangrove blue carbon strategies for climate change mitigation are most effective at the national scale. Biology Letters 14, 20180251.

Friess, Thompson, Brown, Amir, Cameron, Koldewey, Sasmito, Sidik. 2016. Policy challenges and approaches for the conservation of mangrove forests in Southeast Asia. Conservation Biology 30, 933-949.

Richards, Friess. 2016. Rates and drivers of mangrove deforestation in Southeast Asia, 2000-2012. Proceedings of the National Academy of Sciences 113, 344-349.

Lovelock, Cahoon, Friess, Guntenspergen, Krauss, Reef, Rogers, Saunders, Sidik, Swales, Saintilan, Thuyen & Triet. 2015. The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature 526, 559-563.

Friess, Phelps, Garmendia, Gómez-Baggethun. 2015. Payments for Ecosystem Services (PES) in the face of external biophysical stressors. Global Environmental Change 30, 31-42.

Friess, Webb. 2014. Variability in mangrove change estimates and implications for the assessment of ecosystem service provision. Global Ecology and Biogeography 23, 715-725.

Webb, Friess, Krauss, Cahoon, Guntenspergen, Phelps. 2013. A global standard for monitoring coastal wetland vulnerability to accelerated sea level rise. Nature Climate Change 3, 458-465.

Friess, Krauss, Horstman, Balke, Bouma, Galli, Webb. 2012. Are all intertidal wetlands naturally created equal? Bottlenecks, thresholds and knowledge gaps to mangrove and saltmarsh ecosystems. Biological Reviews 87, 346-366.

Matthew Toups is a Professor of Practice in Computer Science at Tulane University. His focus is on undergraduate education with an emphasis in computer systems, networking, and security topics. 

Prior to joining Tulane he served as IT Director for the Computer Science department at the University of New Orleans. There he managed a datacenter dedicated to research and teaching for the CS department. He also taught Systems Programming Concepts at UNO, and served as sponsor for the Cybersecurity Capture-The-Flag team, in which his students competed with teams from around the world in solving security challenges. 

Alireza Shirvani is a Professor of Practice of Computer Science at Tulane University. His research area is in Game Development and Artificial Intelligence, with a focus on Computational Narrative and Narrative Planning. His research interests include applying Artificial intelligence to automatically generate interactive narratives and improve the behavior and believability of virtual characters in games. He previously led the development of a customizable virtual environment, Camelot. Camelot acts as a 3D presentation layers to an external program that may be written in any programming language and implementing any AI algorithm.

Research Interests:

Game Development, Computational Narrative, Artificial Intelligence for Games

Publications

1. Alireza Shirvani, Stephen G. Ware, Personality and Emotion in Strong-Story Narrative Planning, in IEEE Transactions on Games, doi: 10.1109/TG.2022.3227220

2. Stephen G. Ware, Edward Garcia, Mira Fisher, Alireza Shirvani and Rachelyn Farrell, Multi-Agent Narrative Experience Management as Story Graph Pruning, in IEEE Transactions on Games, doi: 10.1109/TG.2022.3177125.

3. Alireza Shirvani, Stephen G. Ware. A formalization of emotional planning for strong-story systems. In Proceedings of the 16th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 116-122, 2020.

4. Alireza Shirvani, Stephen G. Ware. Camelot: A Modular Customizable Sandbox for Visualizing Interactive Narratives. In Proceedings of the Intelligent Narrative Technologies workshop at the 16th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, 2020.

5. Alireza Shirvani, Stephen G. Ware. A plan-based personality model for story characters. In Proceedings of the 15th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 188-194, 2019.

6. Alireza Shirvani. Towards more believable characters using personality and emotion. In Doctoral Consortium at the 15th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 230-232, 2019.

7. Stephen G. Ware, Edward T. Garcia, Alireza Shirvani, Rachelyn Farrell. Multi-agent narrative experience management as story graph pruning. In Proceedings of the 15th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 87-93, 2019.

8. Alireza Shirvani, Stephen G. Ware. On automatically motivating story characters. In Proceedings of the Experimental AI in Games workshop at the 15th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, 2019.

9. Alireza Shirvani, Rachelyn Farrell, Stephen G. Ware. Combining intentionality and belief: revisiting believable character plans. In Proceedings of the 14th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 222-228, 2018.

10. Ben, Samuel, et al. "Playable experiences at AIIDE 2018." Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference. 2018.

11. Alireza Shirvani, Stephen G. Ware, Rachelyn Farrell. A possible worlds model of belief for state-space narrative planning. In Proceedings of the 13th AAAI international conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 101-107, 2017.