Daniel Straus

Daniel Straus

Assistant Professor

(504) 862-3585
School of Science & Engineering
Daniel Straus

The Straus Group

Office

5088 Percival Stern Building

Education & Affiliations

Ph.D., 2018, University of Pennsylvania;
S.M., 2012, University of Chicago;
S.B., 2012, University of Chicago

Biography

The Straus group specializes in problems that involve relating the structure of crystalline materials with their optical, electronic, and magnetic properties. We are interested in extended inorganic and organic/inorganic hybrid materials, such as perovskites and bronzes, as well as molecular and cluster-based materials with delocalized electronic states. Some projects involve the targeted synthesis of novel materials that we hypothesize will have a specific set of attributes. Other times, we make variants of known materials and study their properties for new applications.

Disciplines

Physical, Polymer/Materials, Inorganic

Selected Publications

T. Lee, D. B. Straus, X. Xu, K. P. Devlin, W. Xie, R. J. Cava. “Ferromagnetic Coupling in Quasi-One-Dimensional Hybrid Iron Chloride Hexagonal Perovskites.” Inorg. Chem. (2024). DOI: 10.1021/acs.inorgchem.3c03235

T. Lee, D. B. Straus, X. Xu, W. Xie, R. J. Cava. “Tunable Magnetic Transition Temperatures in Organic-Inorganic Hybrid Cobalt Chloride Hexagonal Perovskites.” Chem. Mater. 35 1745 (2023). DOI: 10.1021/acs.chemmater.2c03532  

D. B. Straus, T. Klimczuk, X. Xu, R. J. Cava. “Antiferromagnetic Order in the Rare Earth Halide Perovskites CsEuBr3 and CsEuCl3.” Chem. Mater. 34 10772 (2022). DOI: 10.1021/acs.chemmater.2c03051

D. B. Straus, R. J. Cava. “Self-Assembly of a Chiral Cubic Three- Connected Net from the High Symmetry Molecules C60 and SnI4.” J. Am. Chem. Soc. 142 13155 (2020). DOI: 10.1021/jacs.0c05563

D. B. Straus, S. Guo, M. Abeykoon, R. J. Cava. “Understanding the Instability of the Halide Perovskite CsPbI3 through Temperature- Dependent Structural Analysis.” Adv. Mater. 32 2001069 (2020). DOI: 10.1002/adma.202001069

D. B. Straus, S. Hurtado Parra, N. Iotov, Q. Zhao, M. R. Gau, P. J. Carroll, J. M. Kikkawa, C. R. Kagan. “Tailoring Hot Exciton Dynamics in 2D Hybrid Perovskites through Cation Modification,” ACS Nano 14 3621 (2020). DOI: 10.1021/acsnano.0c00037

D. B. Straus, S. Guo, R. J. Cava. “Kinetically Stable Single Crystals of Perovskite-Phase CsPbI3,” J. Am. Chem. Soc. 141 11435 (2019). DOI: 10.1021/jacs.9b06055

D. B. Straus, S. Hurtado Parra, N. Iotov, J. Gebhardt, A. M. Rappe, J. E. Subotnik, J. M. Kikkawa, C. R. Kagan. “Direct Observation of Electron-Phonon Coupling and Slow Vibrational Relaxation in Organic-Inorganic Hybrid Perovskites,” J. Am. Chem. Soc. 138 13798 (2016). DOI: 10.1021/jacs.6b08175

A complete list of publications can be found at https://scholar.google.com/citations?user=sPRqWoUAAAAJ 

Chenliang “Chen” Wu

Chenliang “Chen” Wu

Office Address
Blessey 200
School of Science & Engineering
Chenliang “Chen” Wu

Education & Affiliations

PhD, Rice University (2020).
MS, University of Houston (2013).
BE, China University of Petroleum (Beijing).

Biography

My area of research expertise focuses on the impact of fluvial-deltaic surface processes on the development of Earth and Martian sedimentary stratigraphy and the significance of the depositional record for informing future environmental changes. My research aims to bridging sedimentology, geomorphology, surface processes, stratigraphy, and landscape evolution by examining both modern and ancient sedimentary environments. To achieve this goal, I use numerical models, physical experiments, geophysical survey methods, remote sensing, and geological survey techniques.

Alan L. Goodman, Ph.D.

Alan L. Goodman, Ph.D.

Emeritus Professor

School of Science & Engineering

Education & Affiliations

B.S., Cornell University (1964)
Ph.D., University of California at Berkeley (1969)

Biography

Dr. Goodman’s research interests include Theoretical Nuclear Physics.

Recent Publications

A.L. Goodman, “The Romantic Revolt Against Rationalism: A Study In the Relation Between Science and Poetry,” China Media Research, 18(4), p. 80-105 (October 2022).

A.L. Goodman, “Cosmology: Where Religion Meets Physics,” China Media Research, 18(2), p. 80-96 (April 2022).

A.L. Goodman, “What is the Signature of T = 0 np Pairing in Rotating Nuclei?” in The Labyrinth In Nuclear Structure, edited by A. Bracco and C. Kalfas (American Institute of Physics, New York, 2004) p. 285.

A.L. Goodman, “T = 0 and T = 1 Pairing in Rotational States of the N = Z Nucleus 80 Zr,” Physical Review C63, 044325 (2001).

A.L. Goodman, “Shape Transitions In Hot Rotating Nuclei,” Nuclear Physics A687, 206c (2001).

A.L. Goodman, “T =0 and T = 1 Pairs in Yrast States of 80 Zr,” in Selected Topics on N = Z Nuclei, edited by D. Rudolph and M. Hellstrom (Lund University, 2001) p. 166.

A.L. Goodman, “T = 0 and T = 1 Pair Correlations in N = Z Nuclei With A = 76 – 96,” Physica Scripta T88, 170 (2000).

A.L. Goodman and M. Thoennessen, “Summary Of the Hot GDR Workshop,” RIKEN Review No. 23, 172 (1999).

A.L. Goodman, “Transition From Prolate Noncollective to Oblate Noncollective At the Second Shape Transition Temperature,” RIKEN Review No. 23, 73 (1999).

A.L. Goodman, “Proton-Neutron Pairing In Z = N Nuclei With A = 76 – 96,” Physical Review C60, 014311 (1999).

A.L. Goodman, “Neutron-Proton Pairing In N = Z Nuclei ,” in Nuclear Structure 98, edited by C. Baktash (American Institute of Physics, New York, 1999) p. 160.

A.L. Goodman, “Neutron-Proton Pair Correlations In N = Z Nuclei With A = 76 – 96,” in Highlights Of Modern Nuclear Structure, edited by A. Covello (World Scientific, Singapore, 1999) p. 401.

A.L. Goodman, “T = 0 and T = 1 Pair Correlations In N = Z Medium-Mass Nuclei,” Physical Review C58, R3051 (1998).

A.L. Goodman, “Expansion of Moment of Inertia at High Temperature,” Nuclear Physics A633, 223 (1998).

A.L. Goodman, “What Shape Is Generated By the Rotation of a Hot Spherical Nucleus?” in Progress in Particle and Nuclear Physics, edited by A. Faessler (Pergamon Press, Oxford, 1997) Vol. 38, p.173.

A.L. Goodman and T. Jin, “Second Shape Transition Temperature: Prolate Noncollective to Oblate Noncollective,” Zeitschrift fur Physik A358, 131 (1997).

A.L. Goodman and T. Jin, “Temperature Induced Shape Transition: Prolate Noncollective to Oblate Noncollective,” Nuclear Physics A611, 139 (1996).

A.L. Goodman and T. Jin, “Systematics of First and Second Shape Transition Temperatures in Heavy Nuclei,” Physical Review C54, 1165 (1996).

F.A. Dodaro and A.L. Goodman, “Statistical Orientation Fluctuations in 188 Os,” Nuclear Physics A596, 91 (1996).

A.L. Goodman, “Rotation of Hot Spherical Nucleus Creates Prolate Spheroid Rotating About Symmetry Axis,” in New Perspectives in Nuclear Structure, edited by A. Covello (World Scientific, Singapore, 1996) p.319.

A.L. Goodman, “Does Rotation of a Hot Spherical Nucleus Generate an Oblate or a Prolate Shape?” Nuclear Physics A592, 151 (1995).

A.L. Goodman, “Shape Transitions in 188 Os,” Nuclear Physics A591, 182 (1995).

A.L. Goodman, “Rotation Induced Prolate Spheroid Above the Critical Temperature,” Physical Review Letters 73, 416 (1994); 73, 1734 (1994).

G. Rosensteel and A.L. Goodman, “Kelvin Circulation in a Cranked Anisotropic Oscillator + BCS Mean Field,” International Journal of Modern Physics E: Nuclear Physics 3,1251 (1994).

A.L. Goodman, “Shapes of Hot Rotating Nuclei,” Proceedings of the International Symposium in Nuclear Structure, Beijing, China, 1993 (CIAE, Beijing, 1994) p. 40.

A.L. Goodman, “Multiple Shape Transitions in Hot Rotating 148 Sm Nuclei,” Proceedings of the International Conference on the Future of Nuclear Spectroscopy, Agia Pelagia, Crete, 1993, edited by W. Gelletly, C.A. Kalfas, R. Vlastou, S. Harissopulos, and D. Loukas (NCSR Demokritos, Athens, 1994 ) p. 272.

F.A. Dodaro and A.L. Goodman, “Three Dimensional Cranking at Finite Temperature,” Physical Review C49, 1482 (1994).

F.A. Dodaro and A.L. Goodman, “Dynamic Inertia Tensor for a Hot Rotating Nucleus,” Nuclear Physics A573, 47 (1994).

Shao-Kai Jian, Ph.D.

Shao-Kai Jian, Ph.D.

Assistant Professor

Office Address
5024 Percival Stern Hall
School of Science & Engineering
Shao-Kai Jian

Education & Affiliations

Ph.D., Institute for Advanced Study, Tsinghua University (2019)

Biography

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

Jiang Ming

Jiang Ming

Assistant Professor

School of Science & Engineering

Dr. Ming's Website
 

 

Office

303C Stanley Thomas Hall

Teaching

CMPS 4662/6662 Information Security [Spring]

CMPS 3661/6661 Intro to Software Security [Fall]

 

Education & Affiliations

Ph.D., 2016, The Pennsylvania State University

Biography

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).

Daniel Friess

Daniel Friess

Cochran Family Professor

(504) 862-3193
School of Science & Engineering
Daniel Friess

Dr. Friess's Website


Office

Department of Earth and Environmental Sciences
Blessey Hall Room 207
New Orleans, LA 70118

Education & Affiliations

PhD University of Cambridge, 2009
BSc (Hons), Imperial College London, 2004

Biography

Dan's research interests focus on blue carbon and other ecosystem services in mangrove forests, threats to mangroves such as deforestation and sea-level rise, and the use of blue carbon to incentivize mangrove conservation and restoration. This research takes a mixed methods approach, including modelling and remote sensing, field data collection, and social science methods. His research is both conceptual and applied, including working closely with government and NGOs. Prior to joining Tulane, Dan was based at the National University of Singapore (2009-2022). For more information visit www.themangrovelab.com.

Selected Publications

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

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.

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

 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, 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.

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

 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.

 

Contributions

 

 

Matthew Toups

Matthew Toups

Professor of Practice

Office Address
310 Stanley Thomas Hall
School of Science & Engineering

 

Courses Taught

CMPS 1500 – Intro to Computer Science I 

CMPS 2300 – Intro to Systems and Networking 

Biography

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

Alireza Shirvani

Professor of Practice

Office Address
312 Stanley Thomas Hall
School of Science & Engineering

 

Courses Taught

Intro to Computer Science II

Intro to Discrete Mathematics

Game Programming

 

Education & Affiliations

Ph.D., 2021, University of Kentucky | University of New Orleans

Biography

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.

 

Tommaso Buvoli

Tommaso Buvoli

Assistant Professor

504-862-3440
Office Address
Gibson Hall 405
School of Science & Engineering
Tommaso Buvoli

Education & Affiliations

Ph.D., 2018, Applied Mathematics, University of Washington
M.S., 2013, Applied Mathematics, University of Colorado Boulder
B.S. Applied Mathematics and B.S. Computer Science, 2013, University of Colorado Boulder

Research

My research is focused on the development, analysis, and application of novel numerical methods for solving complex, high-dimensional differential equations. These equations typically arise from multiscale dynamical systems and are essential for simulating physical phenomena such as weather, combustion, and plasmas.

Khaled Adjerid

Khaled Adjerid

Professor of Practice

504-865-5148
School of Science & Engineering

Office

623 Lindy Boggs Center
Department of Biomedical Engineering
Tulane University
New Orleans, LA 70118

Courses Taught

Fall 
BMEN 3030/6030: Anatomy and Physiology for Biomedical Engineers
BMEN 3035/6035: Anatomy and Physiology Lab for Biomedical Engineers
BMEN 4900: Art of the Professional Engineer
BMEN 4912: Research and Professional Experience II

Spring
BMEN 3075/6075: Quantitative Physiology Lab
BMEN 4902: Research and Professional Experience I
BMEN 6970: TRIZ - Theory of Creative Problem Solving

Summer
ENGP 1410: Engineering Mechanics: Statics
BMEN 1005: Introduction to Musculoskeletal Anatomy and Biomechanics

Education & Affiliations

Virginia Tech, Blacksburg VA, B.S. Mechanical Engineering;
Virginia Tech, Blacksburg VA, M.S. Automotive Engineering;
Virginia Tech, Blacksburg VA, Ph.D. Biomedical Engineering and Mechanics;
Northeast Ohio Medical University, NIH Post-doctoral Research Fellow

Biography

Dr. Adjerid’s background is in fluids, materials, and biomechanics. He has an interest in biomedical device design, bioinspiration, and biomimetics centering around fluid control and fluid flow characterization. In his most recent work, Dr. Adjerid is investigating the role of sensory stimulation on the control of swallowing in preterm infants. His work aims to identify and alleviate issues associated with neurological deficits in fragile populations. Previously he studied fluid structure interactions in other natural systems as inspiration for novel biomaterials and devices. 

Honors and Awards

Dysphagia Research Society Meeting - Best Poster (2021)                
American Microscopical Society Buchsbaum Imaging Award (2019)
Virginia Tech Graduate Dean’s Global Perspectives Program fellow (2018)
Liivui Librescu Memorial fellowship, Virginia Tech (2017)
Iota Delta Rho Interdisciplinary Research Honor Society (2014)         
Davenport Leadership Scholarship Fellow, Virginia Tech (2012)

Publications
 

Professional  Experience

General Electric Transportation, Erie, PA,  Locomotive Repair and Monitoring Engineer;
Owens Corning Science and Technology, Granville, OH, Glass Manufacturing Technology Engineer

Subscribe to School of Science & Engineering