Nancye H. Dawers

Nancye H. Dawers

Associate Professor

Office Address
208 Blessey Hall
School of Science & Engineering

Courses Taught

EENS 1110 – Planet Earth

EENS 3410/6410 – Structural Geology

EENS 4320/6320 – Subsurface Geology

EENS 6060 – Tectonic Geomorphology

EENS 7010 – Techniques in Geoscience Writing


Education & Affiliations

Postdoctoral Research Associate, University of Edinburgh, 1996-1999
Ph.D., Columbia University, 1997
M.S., University of Illinois at Urbana-Champaign, 1987
B.S., University of Kentucky, 1984


My research focuses on understanding the processes and time-scales over which brittle faults grow, interact and evolve. This includes studying fault structure and patterns of displacement accumulation on faults, fault scaling relationships, and the temporal evolution recorded in basin stratigraphy and in landscapes.  Geographically, much of my work on fault evolution and tectonic landscape development has been within the Eastern California shear zone and in the northern Basin & Range. I also have projects in south Louisiana looking at recently active faults, how salt flow affects these faults, and the contribution of these processes to subsidence and coastal wetland loss.


Selected Publications

SELA Fault Traces Interpreted from Seismic Data and Literature Sources 
LTRC Project 18-3GT and Tran-SET Project No. 17GTLSU12…

Hopkins, M. C. and Dawers, N. H., 2018, The role of fault length, overlap and spacing in controlling extensional relay ramp fluvial system geometry: Basin Research, v. 30, p. 20–34. doi:10.1111/bre.12240 [Editors’ Choice selection]

Shen, Z. X., Dawers, N. H., Tornqvist, T. E., Gasparini, N. M., Hijma, M. P., and Mauz, B., 2017, Mechanisms of late Quaternary fault throw-rate variability along the north central Gulf of Mexico coast: implications for coastal subsidence: Basin Research, v. 29, no. 5, p. 557-570. doi:10.1111/bre.12184

Hopkins, M. C., and Dawers, N. H., 2016, Vertical deformation of lacustrine shorelines along breached relay ramps, Catlow Valley fault, southeastern Oregon, USA: Tectonophysics, v. 674, p. 89-100.

Hopkins, M. C., and Dawers, N. H., 2015, Changes in bedrock channel morphology driven by displacement rate increase during normal fault interaction and linkage: Basin Research, v. 27, no. 1, p. 43-59. doi:10.1111/bre.12072

Densmore, A.L., Hetzel, R., Ivy-Ochs, S., Krugh, W.C., Dawers, N., and Kubik, P., 2009, Spatial variations in catchment-averaged denudation rates from normal fault footwalls, Geology, 37, 1139-1142, doi: 10.1130/G30164A.1.

Densmore, A.L., Dawers, N.H., Gupta, S., and Guidon, R. , 2005, What sets topographic relief in extensional footwalls?, Geology, 33, 453-456.

Dawers, N.H., and Underhill, J.R., 2000, The role of fault interaction and linkage in controlling syn-rift stratigraphic sequences: Late Jurassic, Statfjord East area, northern North Sea, American Association of Petroleum Geologists Bulletin, 84, 45-64.

Additional publications available at Google Scholar


Reda M. Amer

Reda M. Amer

Adjunct Professor

Asst. Professor, GIS Remote Sensing Director, Lamar University
School of Science & Engineering
Reda M. Amer


Lamar University
Geology Building
PO Box 10031
Beaumont, TX 77710

Courses Taught

EENS 3150/6150:  Introduction to Geograpic Information Systems

EENS 3151/6151:  Laboratory to accompany Introduction to Geographic Information Systems

EENS 4030-6030:  Advanced GIS

EENS 4081/6081:  Introduction to Remote Sensing

EENS 4440/6444:  Introduction to Geophysics

EENS 1110:  Physical Geology

Education & Affiliations

Ph.D., Saint Louis University, Saint Louis, MO, 2011 Certificate
Advanced Remote Sensing and GIS, Saint Louis University, 2011
M.S. Al-Azhar University, Cairo, Egypt, 2005
B.S. Al-Azhar University, Cairo, Egypt, 2000


Dr. Amer's research interests include Remote Sensing, Geographic Information Systems (GIS) for Geological, Hydrological, and Environmental applications.


Dana Carsten, Reda Amer (2019): Spatio-temporal Analysis of Urban Changes and Surface Water Quality. Journal of Hydrology, 569 (720-734)

Mahmoud Awad, Reda Amer, Alberto Lopez, Mahmoud El-Rahmany; Luis del Moral; Cesar Viseras (2018). Hyperspectral Remote Sensing for Mapping and Detection of Egyptian Kaolin Quality. Applied Clay Science, 160 (249 – 262)

Reda Amer, Alexander Kolker, Annelise Muscietta (2017). Propensity for erosion and deposition in a deltaic wetland complex: Implications for river management and coastal restoration. Remote Sensing of Environment, 199 (2017) 39-50

Segun Adebayo, Reda Amer (2017): Impacts of Mississippi River spillway opening on Fecal Coliform concetration in the Lake Pontchartrain. River Research and Applications. (DOI: 10.1002/rra.3179)

Reda Amer, Hatem El Dosoky (2017): A Remote Sensing Method for Mapping Sillimanite Mineralization. Journal of African Earth Sciences, 134 (373-382)

Reda Amer, Ahmed Al Mezayen, Mohamed Hasanein (2015). ASTER spectral analysis for alteration minerals associated with gold mineralization, Ore Geology Reviews. 75, 239-251

Mahmoud Hassan, Gehad Saleh, Hatem El-Desoky, Reda Amer, and Ahmed El-Kady (2015). Lithological-Structural Setting of Homrit Waggat Granites in Central Eastern Desert, Egypt: New Contributions. International Journal of Innovative Science. Engineering & Technology, 2015: 2(11), 670-690.

Reda Amer, Ahmed Saad, Tharwat Abd Elhafeez, Hassan El Kady, Mohamed Madi (2014). Geophysical and Geotechnical Investigation of Pavement Structures and Bridge Foundations. Austin Journal of Earth Science. 2014; 1(1): 6

Rosenheim, B., Pendergraft, M. Flowers, G., Carney, R., Sericano, Amer, R., Chanton, J., Dincer, Z., Wade, T., (2014). Employing Extant Stable isotope Data in Gulf of Mexico Sedimentary Organic Matter for Oil Spill Studies. Deep Sea Research. (

Tharwat Abd Elhafeez, Reda Amer, Ahmed Saad, Hassan El Kady, Mohamed Madi (2014). Evaluation of Flexible Pavement Mixtures Using Conventional Tests and Ultrasonic Wave Propagation. Journal of Advances in Civil Engineering Material, doi:10.1520/ACEM20130076

Mead A. Allison

Mead A. Allison


Professor & Chair, Department of River-Coastal Science and Engineering
School of Science & Engineering
Mead Allison


Department of Earth and Environmental Sciences
Room 222, Stanley Thomas
New Orleans, LA 70118


Education & Affiliations

Ph. D., State University of New York, Stony Brook, 1993
M.S., East Carolina University, 1988
B.S., College of William & Mary, 1985


My research interests include sediment dynamics of modern environments including lowland river, deltaic, wetland, estuarine, and continental shelf settings as well as examination of the late Holocene sediment record in coastal settings

Selected Publications

*Ramirez, M.T. and Allison, M.A., 2013. Suspension of bed-material sand over lateral bars in the lower Mississippi River, Southeastern Louisiana. Journal of Geophysical Research-Earth Surface Processes 118:1-20.

Bianchi, T.S., Allison, M.A., Zhao, J., Li, X., *Comeaux, R., Feagin, R., Kulawardhana, R.W., 2013. Historical reconstruction of mangrove expansion in the Gulf of Mexico: linking climate change with carbon sequestration in coastal wetlands. Estuarine, Coastal and Shelf Science 119:7-16.

Safak, I., Allison, M.A., and Sheremet, A., 2013. Floc behavior in a high-turbidity, wave-energetic muddy shelf: Observations under varying turbulence, sediment availability, and seafloor properties. Continental Shelf Research 53:1-10.

Rosenheim, B.E., Roe, K.M., Roberts, B.J., Kolker, A.S., Allison, M.A., and Johannesson, K.H., 2013. River discharge influences on particulate organic carbon age structure in the Mississippi/Atchafalaya River system. Global Biogeochemical Cycles 27:154-166.

Allison, M.A., Vosburg, B.M., *Ramirez, M.T., and Meselhe, E.A., 2012. Mississippi River channel response to the Bonnet Carre Spillway opening in the 2011 flood and its implications for the design and operation of river diversions. Journal of Hydrology 477:104-118.

Li, X., Bianchi, T.S., Allison, M.A., Chapman, P., Mitra, S., Zhang, Z., Yang, G., and Yu, Z. 2012. Composition, abundance and age of total organic carbon in surface sediments from the inner shelf of the East China Sea. Marine Chemistry 145:37-52.

Meselhe, E.A., Georgiou, I., Allison, M.A., and McCorquodale, 2012. Numerical modeling of hydrodynamics and sediment transport in lower Mississippi at a proposed delta building diversion. Journal of Hydrology 472-3:340-354.

Zhao, J., Bianchi, T.S., Li, X., Allison, M.A., Yao, P., and Yu, Z., 2012. Historical eutrophication in the Changjiang and Mississippi delta-front estuaries: stable sedimentary chloropigmments as biomarkers. Continental Shelf Research 47:133-144.

Allison, M.A., Demas, C.R., Ebersole, B.A., Kleiss, B.A., Little, C.D., Meselhe, E.A., Powell, N.J., Pratt, T.C., and Vosburg, B.M., 2012. A water and sediment budget for the lower Mississippi-Atchafalaya River in flood years 2008-2010: implications for sediment discharge to the oceans and coastal restoration in Louisiana. Journal of Hydrology 432/3:84-97.

*Comeaux, R.S., Allison, M.A., and Bianchi, T.S., 2012. Mangrove expansion in the Gulf of Mexico with climate change: implications for wetland health and resistance to rising sea levels. Estuarine, Coastal and Shelf Science 96:81-95.

Kolker, A.S., Allison, M.A., and Hameed, S., 2011. An evaluation of subsidence rates and sea-level variability in the northern Gulf of Mexico. Geophysical Research Letters 38:L21404, doi:10.1029/2011GL049458

*Nittrouer, C.A., Mohrig, D., and Allison, M.A., 2011. Punctuated sand transport in the lowermost Mississippi River. Journal of Geophysical Research – Earth Surface Processes 116:10.1029/2011JF002026.

Bianchi, T.S., Sampere, T.P., Allison, M.A., and McKee, B.A., 2011. Burial and degradation of organic carbon in Louisiana shelf/slope sediments. Estuarine, Coastal and Shelf Science 95:232-244.

*Nittrouer, J.A., Mohrig, D., Allison, M.A., and Peyret, A-P. B. 2011. The lowermost Mississippi River: a mixed bedrock-alluvial channel. Sedimentology 58:1914-1934.

Sampere, T., Bianchi, T.S., and Allison, M.A., 2011. Historical changes in terrestrially-derived organic carbon inputs to Louisiana continental margin sediments over the past 150 years. Journal of Geophysical Research – Biogeosciences 116, G01016, doi:10.1029/2010JG001420.

Sampere, T., Bianchi, T.S., Allison, M.A., and McKee, B.A., 2011. Burial and degradation of organic carbon in Louisiana Shelf/Slope sediments. Estuarine, Coastal and Shelf Science 95:232-244.

Sheremet, A., Jaramillo, S., Su, S.-F., Allison, M.A. and Holland, K.T., 2011. Wave-mud interaction over the muddy Atchafalaya subaqueous clinoform, Louisiana, United States: wave processes. Journal of Geophysical Research--Oceans 116, C06005, doi:10.1029/2010JC006644.

Allison, M. A., T. M. Dellapenna, E. S. Gordon, S. Mitra, and S. T. Petsch, 2010. Impact of Hurricane Katrina (2005) on shelf organic carbon burial and deltaic evolution, Geophys. Res. Lett., 37, L21605, doi:10.1029/2010GL044547.

Allison, M. A., and E. A. Meselhe, 2010. The use of large water and sediment diversions in the lower Mississippi River (Louisiana) for coastal restoration, J. Hydrology, 387, 346-360.

Anthony, E. J., A. Gardel, N. Gratiot, C. Proisy, Allison, M.A., F. Dolique, and F. Fromard, 2010. The Amazon-influenced muddy coast of South America: A review of mud-bank-shoreline interactions, Earth Sci. Rev., 103, 99-121.

Bianchi, T. S., M. A. Allison, P. Chapman, J. H. Cowan, M. J. Dagg, J. W. Day, S. F. DiMarco, R. D. Hetland, and R. Powell, 2010. New approaches to the Gulf hypoxia problem, Eos, Trans. Amer. Geophys. Un., 91, 173-174.

Safak, I., A. Sheremet, M. A. Allison, and T.-J. Hsui, 2010. Bottom turbulence on the muddy Atchafalaya Shelf, Louisiana, USA, J. Geophys. Res., 115, C12019, 15pp., doi:10.1029/2010JC006157

Goff, J.A., Allison, M.A., and Gulick, S.P.S., 2010. Offshore transport of sediment during cyclonic storms: Hurricane Ike (2008), Texas Gulf Coast, USA. Geology 38:351-354.

Bianchi, T.S. and Allison, M.A., 2009. Large-river delta-front estuaries as natural “recorders” of global environmental change. Proceedings of the National Academy of Sciences 106:8085-8092.

Jaramillo S., Sheremet, A., Allison, M.A., Holland, K.T., and Reed, A.H., 2009. Wave-mud interactions over the muddy Atchafalaya subaqueous clinoform, Louisiana, United States: wave-supported sediment transport. J. Geophysical Research-Oceans 114:C04002, doi:10.1029/2008JC004821.

Mitra, S., Lalicata, J.J., Allison, M.A., and Dellapenna, T.M. 2009. The effects of Hurricanes Katrina and Rita on seabed polycyclic aromatic hydrocarbon dynamics in the Gulf of Mexico. Marine Pollution Bulletin 58:851-857.

*Wilson, C.A. and Allison, M.A., 2008. Sediment dynamics and geomorphology of eroding marsh shorelines in southeastern Louisiana. Estuarine, Shelf and Coastal Science, 80:483-494.

Bianchi, T.S., Allison, M.A., Chapman, P., Cowan, J.H., Jr., DiMarco, S.F., Hetland, R.D., Morse, J.W., and Rowe, G.T., submitted. Controlling hypoxia on the Louisiana Shelf (USA): beyond the nutrient-centric view. EOS—Transactions of the American Geophysical Union 89: doi:10.1029/2008EO260005.

Mayer, L.M., Schick, L.L., and Allison, M.A., 2008. Input of nutritionally rich organic matter from the Mississippi River to the Louisiana coastal zone. Estuaries and Coasts 31:1052-1062.

*Nittrouer, J.A., Allison, M.A., and Campanella, R., 2008. Evaluation of bedload transport in the lower Mississippi River: implications for sand transport to the Gulf of Mexico. J. Geophysical Research-Earth Surface Processes 113, F03004, doi:10.1029/ 2007JF000795.

*Galler, J.J. and Allison, M.A., 2008. Estuarine controls on fine-grained sediment storage in the lower Mississippi and Atchafalaya Rivers. Geological Society of America Bulletin 120:386-398.

Allison, M.A., Bianchi, T.S., McKee, B.A., and Sampere, T.P., 2007. Carbon burial on river-dominated continental shelves: impact of historical changes in sediment loading adjacent to the Mississippi River. Geophysical Research Letters L01606, doi:10.1029/2006GL028362

Allison, M.A., Dellapenna, T.M., Goñi, M.A., and Sheremet, A., 2007. Impact of Hurricanes Katrina and Lili on the inner shelf of the Mississippi-Atchafalaya delta. Proceedings of the International Conference on Coastal Sediments 07. ISBN 0-7844-0926-9, 10 p.

Allison, M.A., Sheremet, A., Gõni, M.A., and Stone, G.W., 2005. Storm layer deposition on the Mississippi-Atchafalaya subaqueous delta generated by Hurricane Lili in 2002. Continental Shelf Research 25:2213-2232.

Allison, M.A. and *Lee, M.T. 2004. Sediment exchange between Amazon mudbanks and shore-fringing mangroves in French Guiana. Marine Geology 208:169-190.

Special Volumes/Monographs

Bianchi, T.S., Allison, M.A., and Cai, W-J. in press. Biogeochemical Dynamics at Major River-Coastal Interfaces: Linkages with Global Change. Cambridge University Press, editors for 28 chapter book (co-author on 5 chapters as well).

Allison, M.A., DeGaetano, A.T., and Pasachoff, J.M., 2005. Earth Science, Holt-Reinhart and Winston, 954 p. (Texas State High-school Earth Sciences Adopted Text) Material Exchange Between Mangrove Systems and the Coastal Ocean.

F. Baltzer, M. Allison, F. Fromard (eds.), Marine Geology Special Volume, 2004. 208(2-4):113-225.

A Study of Sedimentation in the Brahmaputra-Jamuna Floodplain. 1995. FAP16 Sedimentation Working Group (M. Allison, S. Kuehl, H. Brammer, D. Barua, T. Martin), Bangladesh Flood Action Plan, US Agency for International Development, 188 p.

Technical Reports (peer reviewed)

Allison, M.A. and Duncan, D.A., 2006. Assessing Quantity and Quality of Sand Available in the Lower Atchafalaya River Channel for Coastal Marsh and Barrier Island Restoration in Louisiana. Final Technical Report for Subcontract C-190360, Governor’s Applied Coastal Research and Development Program, Baton Rouge, 63 p.

Allison, M.A. and *Nittrouer, J.A., 2004. Assessing Quantity and Quality of Sand Available in the Lower Mississippi River Channel for Coastal Marsh and Barrier Island Restoration in Louisiana. Final Technical Report for Subcontract C-162523, Governor’s Applied Coastal Research and Development Program, Baton Rouge, 55 p.

Schwab, W.C., Allison, M.A., *Lotto, L.L., Denny, J.F., Uchupi, E., Thieler, E.R., Foster, D.S., Swift, B.A., Danforth, W.W., Lanier, D.L., and Butman, B. 2002. High-resolution Quaternary Seismic Stratigraphy of the New York Bight Continental Shelf. U.S. Geological Survey Open-File Report 02-152.

Schwab, W.C., Denny, J., Butman, B., Danforth, W.W., Foster, D.S., Swift, B.A., *Lotto, L.L., Allison, M.A., Thieler, E.R., and Hill, J.C., 2000. Seafloor characterization offshore of the New York-New Jersey Metropolitan Area using sidescan-sonar. 2000. U.S. Geological Survey Open-File Report No. 00-295, 3 sheets.

Thieler, E.R., Schwab, W.C., Allison, M.A., Denny, J.F., and Danforth, W.W., 1998. Sidescan-sonar Imagery of the Shoreface and Inner Continental Shelf, Wrightsville Beach, North Carolina. Reston, Virginia: U.S. Geological Survey Open-File Report No. 98-596, 3 sheets.


RCSE 6800 – Introduction to River Science and Engineering

Jeffrey G. Agnew

Jeffrey G. Agnew

Professor of Practice

School of Science & Engineering
Jeffrey G. Agnew


Department of Earth and Environmental Sciences
Room 201 Blessey Hall
New Orleans, LA 70118

Courses Taught

EENS 1110 – Physical Geology
EENS 1115 – Physical Geology Lab
EENS 3550 – Shark Paleobiology

Education & Affiliations

Ph. D., Louisiana State University, 2008
M.S., University of Florida, 2001
B.S., Central Michigan University, 1996


My research interests include Geoscience Education, Paleobiology, Paleoecology, Taphonomy, and Taxonomy


Agnew, J. G., and J. A. Nunn, 2009. LaURGE: Louisiana undergraduate recruitment and geoscience education. Gulf Coast Association of Geological Societies Transactions, 59: 21-33

Goadrich, M. and Agnew, J.G. 2008. Learning comprehensible relational features to distinguish subfossil decapod crustacean dactyls. Proceedings of 24th International Conference on Inductive Logic Programming (ILP), Late Breaking Papers, Prague Czech Republic, 10th - 12th September, 2008

Portell, R. W. and Agnew, J. G. 2004. Pliocene and Pleistocene decapod crustaceans. Florida Fossil Invertebrates. 4: 1-29

Anastasia Kurdia

Anastasia Kurdia

Senior Professor of Practice

School of Science & Engineering
Anastasia Kurdia


305B Stanley Thomas Hall

Education & Affiliations

Ph.D., 2010, University of Texas, Dallas


Computer science education with concentration on effective teaching and active learning, novel pedagogies, learning at scale, teaching with technology, recruitment and retention, increasing diversity in technical fields. Scientific interests include algorithms and optimization with applications in computational geometry, graphics and visualization; parallel computing; scientific, mobile, and biomedical software.

Nicholas Mattei

Nicholas Mattei

Associate Professor

(504) 865-5782
School of Science & Engineering
Nicholas Mattei

Dr. Mattei's Website



305B Stanley Thomas Hall

Courses Taught

CMPS/MATH 2170 : Discrete Mathematics

CMPS 3160/6160 : Intro to Data Science

CMPS 3140/6140 : Intro to Artificial Intelligence

CMPS 4150/6150 : Multi-agent Systems

CMPS 4790/6790 : Data Science

Education & Affiliations

Ph.D., 2012, University of Kentucky


Nicholas Mattei is an Assistant Professor of Computer Science at Tulane University. His research focuses on the theory and practice of artificial intelligence; largely motivated by problems that require a blend of techniques to develop systems and algorithms that support decision making for autonomous agents and/or humans. Most of his projects and leverage theory, data, and experiment to create novel algorithms, mechanisms, and systems that enable and support individual and group decision making.

Before joining Tulane he was a Research Staff Member in the IBM TJ Watson Research Laboratory in the IBM Research AI – Reasoning Lab where he worked on a number of topics including Complex Question Answering / Natural Language Inference, Decision Making, and issues in AI, Ethics, and Society. Before that he was a senior researcher working with Prof. Toby Walsh in the AI & Algorithmic Decision Theory Group at Data61 (formerly known as the Optimisation Group at NICTA). At NICTA he was the founder and maintainer of PrefLib: A Library for Preferences; the associated PrefLib:Tools available on Github; and has been the founder/co-chair for the Exploring Beyond the Worst Case in Computational Social Choice (2014, 2015, 2016 2017) held at AAMAS. He was/is also an adjunct lecturer in the School of Computer Science and Engineering (CSE) and member of the Algorithms Group at the University of New South Wales. He previously worked as a programmer and embedded electronics designer for nano-satellites at NASA Ames Research Center. He received his Ph.D from the University of Kentucky under the supervision of Prof. Judy Goldsmith in 2012.

Nicholas has served on the SPC or PC of AAAI, AAMAS, AIES, IJCAI, COMSOC, ECAI, CP and other major AI conferences.  He has reviewed for AIJ, AGNT, JAIR, IEEE Intelligent Systems, ACM:TEAC and other journals.  He serves as the AI, Ethics, and Society Officer for ACM:SIGAI and as the Public Relations coordinator for JAIR. He has also given tutorials on social choice and empirical methods in artificial intelligence at a number of venues including AUSAI and the MSS Workshop in New Zealand. He has taught various courses on knowledge representation and reasoning; artificial intelligence; and programming at the University of Kentucky and the University of New South Wales.

Research Interests

Artificial Intelligence, Data Science, Decision Making, Preferences


Google Scholar Publications

DBLP Computer Science Bibliography

Zizhan Zheng

Zizhan Zheng

Associate Professor

(504) 865-5782
School of Science & Engineering

Dr. Zheng's Website



307B Stanley Thomas Hall

Courses Taught

CMPS/MATH 2170: Discrete Mathematics

CMPS 4750/6750: Computer Networks

CMPS 4760/6760: Distributed Systems

CMPS 4660/6660: Reinforcement Learning D

CMPS 7010: Research Seminar

Education & Affiliations

Ph.D., 2010, Ohio State University


Zizhan Zheng is an Associate Professor of Computer Science at Tulane University. His recent work has centered on:

  • developing automated red-teaming and proactive defense and alignment techniques to enhance the security and safety of both single-agent and cooperative AI systems, and
  • integrating reinforcement learning and generative AI for efficient and trustworthy decision-making, along with their applications in various science and engineering domains.


Previously, he also worked on the optimization and economics of networked systems, including computer networks, cloud computing systems, and cyber-physical systems, and he contributed to the science of security using tools from machine learning and game theory.

Research Interests

AI Security and Safety, Reinforcement Learning, Networks


Refereed Journal Articles:

[J1] “The Impact of Stealthy Attacks on Smart Grid Performance: Tradeoffs and Implications”, Yara Abdallah, Zizhan Zheng, Ness B. Shroff, Hesham El Gamal, and Tarek M. El-Fouly; IEEE Transactions on Control of Network Systems (TCNS), accepted for publication.

[J2] “Ensuring Predictable Contact Opportunity for Scalable Vehicular Internet Access On the Go”, Zizhan Zheng, Zhixue Lu, Prasun Sinha, and Santosh Kumar; IEEE/ACM Transactions on Networking (TON), 23(3), pp. 768-781, June 2015.

[J3] “Submodular Utility Maximization for Deadline Constrained Data Collection in Sensor Networks”, Zizhan Zheng and Ness B. Shroff; IEEE Transactions on Automatic Control (TAC), 59(9), pp. 2400-2412, 2014.

[J4] “Maximizing System Throughput by Cooperative Sensing in Cognitive Radio Networks”, Shuang Li, Zizhan Zheng, Eylem Ekici, and Ness B. Shroff; IEEE/ACM Transactions on Networking (TON), 22(4), pp. 1245-1256, 2014.

[J5] “Maximizing Information in Unreliable Sensor Networks under Deadline and Energy Constraints”, Srikanth Hariharan, Zizhan Zheng, and Ness B. Shroff; IEEE Transactions on Automatic Control (TAC), 58(6), pp. 1416-1429, 2013.

[J6] “Sparse WiFi Deployment for Vehicular Internet Access with Bounded Interconnection Gap”, Zizhan Zheng, Prasun Sinha, and Santosh Kumar; IEEE/ACM Transactions on Networking (TON), 20(3), pp. 956-969, June 2012.

[J7] “Perpetual and Fair Data Collection for Environmental Energy Harvesting Sensor Networks”, Ren-Shiou Liu, Kai-Wei Fan, Zizhan Zheng, and Prasun Sinha; IEEE/ACM Transactions on Networking (TON), 19(4), pp. 947-960, Aug. 2011.

[J8] “Buffer Coding for Reliable Transmissions over Wireless Networks”, Zizhan Zheng and Prasun Sinha; Elsevier Computer Communications (COMCOM), 32(1), pp. 111-123, Jan. 2009.

Refereed Conference Publications

[C1] “Stealthy Attacks with Insider Information: A Game Theoretic Model with Asymmetric Feedback”, Xiaotao Feng, Zizhan Zheng, Derya Cansever, Ananthram Swami, and Prasant Mohapatra; MILCOM, Baltimore, MD, Nov. 2016.

[C2] “Trust Exploitation and Attention Competition: A Game Theoretic Model”, Hao Fu, Hongxing Li, Zizhan Zheng, Pengfei Hu, and Prasant Mohapatra; MILCOM, Baltimore, MD, Nov. 2016.

[C3] “FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping”, Hao Fu, Zizhan Zheng, Aveek Kumar Das, Parth H. Pathak, and Prasant Mohapatra; IEEE SECON, London, UK, June 2016.

[C4] “Online Multi-Resource Allocation for Deadline Sensitive Jobs with Partial Values in the Cloud”, Zizhan Zheng and Ness B. Shroff; IEEE INFOCOM, San Francisco, CA, Apr. 2016.

[C5] “VSync: Cloud Based Video Streaming Service for Mobile Devices”, Eilwoo Baik, Amit Pande, Zizhan Zheng, and Prasant Mohapatra; IEEE INFOCOM, San Francisco, CA, Apr. 2016.

[C6] “A Game Theoretic Model for Defending Against Stealthy Attacks with Limited Resources”, Ming Zhang, Zizhan Zheng, and Ness B. Shroff; GameSec, London, UK, Nov. 2015.

[C7] “Stealthy Attacks Meets Insider Threats: A Three-Player Game Model”, Xiaotao Feng, Zizhan Zheng, Pengfei Hu, Derya Cansever, and Prasant Mohapatra; MILCOM, Tampa, FL, Oct. 2015.

[C8] “Provably Delay Efficient Data Retrieving in Storage Clouds”, Yin Sun, Zizhan Zheng, C. Emre Koksal, Kyu-Han Kim, and Ness B. Shroff; IEEE INFOCOM, Hong Kong, Apr. 2015.

[C9] “Stealthy Attacks and Observable Defenses: A Game Theoretic Model Under Strict Resource Constraints”, Ming Zhang, Zizhan Zheng, and Ness B. Shroff; IEEE GlobalSIP (invited), Atlanta, GA, Dec 2014.

[C10] “Online Welfare Maximization for Electric Vehicle Charging with Electricity Cost”, Zizhan Zheng and Ness B. Shroff; ACM e-Energy, Cambridge, UK, June 2014.

[C11] “Maximizing Social Welfare in Operator-based Cognitive Radio Networks under Spectrum Uncertainty and Sensing Inaccuracy”, Shuang Li, Zizhan Zheng, Eylem Ekici, and Ness B. Shroff; IEEE INFOCOM, Turin, Italy, Apr. 2013.

[C12] “On the Efficiency-vs-Security Tradeoff in the Smart Grid”, Yara Abdallah, Zizhan Zheng, Ness B. Shroff, and Hesham El Gamal; IEEE CDC, Hawaii, Dec. 2012.

[C13] “Maximizing System Throughput Using Cooperative Sensing in Multi-Channel Cognitive Radio Networks”, Shuang Li, Zizhan Zheng, Eylem Ekici, and Ness B. Shroff; IEEE CDC, Hawaii, Dec. 2012.

[C14] “Maximizing a Submodular Utility for Deadline Constrained Data Collection in Sensor Networks”, Zizhan Zheng and Ness B. Shroff; IEEE WiOpt, Paderborn, Germany, May 2012.

[C15] “Maximizing System Throughput by Cooperative Sensing in Cognitive Radio Networks”, Shuang Li, Zizhan Zheng, Eylem Ekici, and Ness B. Shroff; IEEE INFOCOM, Orlando, Florida, Mar. 2012.

[C16] “Maximizing the Contact Opportunity for Vehicular Internet Access”, Zizhan Zheng, Zhixue Lu, Prasun Sinha, and Santosh Kumar; IEEE INFOCOM, San Diego, Mar. 2010.

[C17] “Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks”, Paul N. Balister, Zizhan Zheng, Santosh Kumar, and Prasun Sinha; IEEE INFOCOM, Rio de Janeiro, Brazil, Apr. 2009.

[C18] “Alpha Coverage: Bounding the Interconnection Gap for Vehicular Internet Access”, Zizhan Zheng, Prasun Sinha, and Santosh Kumar; IEEE INFOCOM Mini-Conference, Rio de Janeiro, Brazil, Apr. 2009.

[C19] “Steady and Fair Rate Allocation for Rechargeable Sensors in Perpetual Sensor Networks”, Kai-Wei Fan, Zizhan Zheng, and Prasun Sinha; ACM SENSYS, Raleigh, NC, Nov. 2008.

[C20] “Distributed Roadmap Aided Routing in Sensor Networks”, Zizhan Zheng, Kai-Wei Fan, Prasun Sinha, and Yusu Wang; IEEE MASS, short paper, Atlanta, GA, Sep. 2008.

[C21] “XBC: XOR-based Buffer Coding for Reliable Transmissions over Wireless Networks”, Zizhan Zheng and Prasun Sinha; IEEE BROADNETS, Raleigh, NC, Sep. 2007.

Parisa Kordjamshidi

Parisa Kordjamshidi

Assistant Professor

(504) 247-1543
School of Science & Engineering
Parisa Kordjamshidi


305B Stanley Thomas Hall

Courses Taught

CMPS 3240/6240: Introduction to Machine Learning

Education & Affiliations

Ph.D., 2013, University of Leuven


Parisa Kordjamshidi currently is an assistant professor of computer science at Tulane University and holds a joint appointment as a research scientist at IHMC. Her main research interests are artificial intelligence, machine learning, natural language processing, Information extraction and Declarative learning based programming. She has worked on the extraction of formal semantics and structured representations from natural language, with a specific focus on spatial semantics representation. Her current research is dedicated to declarative learning based programming (DeLBP). The goal of this programming paradigm is to facilitate programming for building systems that require a number of learning and reasoning components that interact with each other and receive data from heterogeneous resources. Such a language would help machine learning researchers as well as experts in various domains who are not experts in machine learning, to design complex intelligent systems and evaluate them. She tries to develop such a language and apply it on various application domains.

Dr. Kordjamshidi received her PhD from KU Leuven University, in 2013 and was a postdoc in University of Illinois at Urbana-Champaign before joining Tulane and IHMC. She is a member of Editorial board of Journal of Artificial Intelligence Research (JAIR). She has organized a number of international workshops and served as program committee of conferences such as IJCAI, AAAI, ACL-IJCNLP, COLING and ECAI. The results of her research have been published in several international peer-reviewed conferences and journals including ACM-TSLP, JWS, BMC-Bioinformatics, IJCAI.

Research Interests

Artificial Intelligence, Machine Learning, Natural language Processing, Declarative Learning based programming, Knowledge representation, information extraction, Extraction of spatial semantics from language, big data, and text mining.



M. Sammons, C. Christodoulopoulos, P. Kordjamshidi, D. Khashabi, V. Srikumar and D. Roth. EDISON: Feature Extraction for NLP, Simplified. LREC-2016.


Kordjamshidi, P., Roth, D., Wu, H. (2015). Saul: Towards declarative learning based programming. IJCAI2015. Download

Kordjamshidi, P., Roth, D., Moens, M. (2015). Structured learning for spatial information extraction from biomedical text: bacteria biotopes. BMC Bioinformatics 2015, 16:129. Download

Kordjamshidi, P., Moens, M. (2015). Global machine learning for spatial ontology population. Journal of Web Semantics, 30, 3-21. Download

Kordjamshidi, P., van Otterlo, M., Moens, M. (2015). Spatial role labeling annotation scheme. In: Pustejovsky J., Ide N. (Eds.), Handbook of Linguistic Annotation Springer Verlag. Download

Kordjamshidi, P., Massa, W., Provoost, T., Moens, M. (2015). Machine Reading for Extraction of Bacteria and Habitat Taxonomies. Lecture Notes in Computer Science (LNCS), Communications in Computer and Information Science (CCIS) series, Springer-Verlag, 2015.

Y. Song, H. Peng, P. Kordjamshidi, M. Sammons, D. Roth (2015). Improving a Pipeline Architecture for Shallow Discourse Parsing. Proc. of the Conference on Computational Natural Language Learning (CoNLL2015) Shared Task.

Pustejovsky J., Kordjamshidi P., Moens M-F, Levine A., Dworman S., Yocum Z., (2015). SemEval-2015 Task 8: SpaceEval. SemEval2015. Download

Massa, W., Kordjamshidi, P., Provoost, T., Moens, M. (2015). Machine reading of biological texts: bacteria-biotope extraction. Proceedings of the 6th international conference on bioinformatics models, methods and algorithms. 8th international joint conference on biomedical engineering systems and technologies. Lisbon, Portugal, 12-15 January 2015 (pp. 55-64) SCITEPRESS, 2015. Download

Glavaš, G., Šnajder, J., Kordjamshidi, P., Moens, M. (2014). HiEve: A corpus for extracting event hierarchies from news stories. Proceedings of 9th language resources and evaluation conference. 9th language resources and evaluation conference. Reykjavik, Iceland, 26-31 May 2014 (pp. 3678-3683) ELRA, 2014. Download


Kordjamshidi, P., Moens, M. (sup.) (2013). Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Gestructureerd machinaal leren voor het omzetten van natuurlijke taal naar ruimtelijke ontologieën), 233 pp, July 2013. PhD thesis. Download

Kordjamshidi, P., Hois, J., van Otterlo, M., Moens, M. (2013). Learning to interpret spatial natural language in terms of qualitative spatial relations. In: Tenbrink T., Wiener J., Claramunt C. (Eds.), bookseries: Series Explorations in Language and Space, Representing space in cognition: interrelations of behavior, language, and formal models Oxford University Press, 115-146.

Kolomiyets, O., Kordjamshidi, P., Bethard, S., Moens, M. (2013). SemEval-2013 task 3: Spatial role labeling. Second joint conference on lexical and computational semantics (*SEM), Volume 2: Proceedings of the seventh international workshop on semantic evaluation (SemEval 2013). Second joint conference on lexical and computational semantics. Atlanta, USA, 14-15 June 2013 (pp. 255-266). East Stroudsburg, PA: ACL, 2013

Kordjamshidi, P., Moens, M. (2013). Designing constructive machine learning models based on generalized linear learning techniques. Proceedings of the NIPS workshop on constructive machine learning. NIPS workshop on constructive machine learning. Lake Tahoe, Nevada, USA, 10 December 2013 (pp. 1-5), 2013

Kordjamshidi, P., Moens, M. (2013). Structured machine learning for mapping natural language to spatial ontologies. International workshop on advances in regularization, optimization, kernel methods and support vector machines: theory and applications. Leuven, 8-19 July 2013, 2013.


Kordjamshidi, P., Bethard, S., Moens, M. (2012). SemEval-2012 task 3: Spatial role labeling. {*SEM 2012}: The First Joint Conference on Lexical and Computational Semantics -- Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation {(SemEval 2012)}: Vol. 2. SemEval-2012. Montreal- Canada, 7-8 June (pp. 365-373) ACL, 2012.

Kordjamshidi, P., Frasconi, P., van Otterlo, M., Moens, M., De Raedt, L. (2012). Relational learning for spatial relation extraction from natural language. In Muggleton, S. (Ed.), Tamaddoni-Nezhad, A. (Ed.), Lisi, F. (Ed.), Lecture notes in artificial intelligence: Vol. 7207. Inductive Logic Programming. Windsor, 31st July-3rd August (pp. 204-220). Berlin Heidelberg: Springer, 2012.

Kordjamshidi, P., Moens, M. (2012). Spatial role labeling using structured support vector machines. Proceedings of 21st Belgian-Dutch conference on machine learning (BeneLearn): vol. 21. Belgian-Dutch conference on machine learning (BeneLearn). Ghent, 24-25 May, 71-71, 2012.


Kordjamshidi, P., van Otterlo, M., Moens, M. (2011). Spatial role labeling: Towards extraction of spatial relations from natural language. ACM Transactions on Speech and Language Processing, 8 (3), article 4, 36 p, Kordjamshidietal-ACM-TSLP-2011.pdf.

Kordjamshidi, P., Frasconi, P., van Otterlo, M., Moens, M., De Raedt, L. (2011). Spatial relation extraction using relational learning. Latest Advances in Inductive Logic Programming. ILP. Windsor Great Park, United Kingdom, 31 July-3rd August (pp. 1-6), 2011, ILP_4.pdf.

Kordjamshidi, P., Hois, J., van Otterlo, M., Moens, M. (2011). Machine learning for interpretation of spatial natural language in terms of QSR. International Conference on Spatial Information Theory (COSIT’11).Extended abstract: Vol. Spatial Information Theory (technical report). COSIT. Belfast, 12-16 September (pp. 1-5), 2011, abstract_cosit.pdf.


Kordjamshidi, P., Moens, M., van Otterlo, M. (2010). Spatial Role Labeling: Task Definition and Annotation Scheme. In Calzolari, N. (Ed.), Khalid, C. (Ed.), Bente, M. (Ed.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10). Seventh conference on International Language Resources and Evaluation. Malta, 19-21 May 2010 ( KORDJAMSHIDI10.846) (pp. 413-420) European Language Resources Association (ELRA), 2010, 846_Paper.pdf.

Kordjamshidi, P., van Otterlo, M., Moens, M. (2010). From language towards formal spatial calculi. In Ross, R. (Ed.), Hois, J. (Ed.), Kelleher, J. (Ed.), Proc. of 1st Workshop COSLI'10. Computational Models of Spatial Language Interpretation (COSLI). Mt.Hood/Portland, OR, USA, 15-August 2010 (pp. 17-24)., 2010, paper3.pdf.

2008 and Earlier

P. KordJamshidi, B. De Baets, G. De Tre. Prototype-based classification by fuzzification of cases. Proceedings of IPMU'08, pp. 1519-1526, Torremolinos (Malaga), June 22-27, 2008.PDF

G. De Tre, T. Matthe, P. KordJamshidi, M. Demoor (2007). On the Use of Case Based Reasoning Techniques in Flexible Querying. 18th International Workshop on Database and Expert Systems Applications, 2007, 345-349.

Saeed Jalili, Parisa Kord Jamshidi. Active Learning with Labeled and Unlabeled Documents in text categorization (ITCC 2003), 28-30 April 2003, Las Vegas, NV, USA. IEEE Computer Society.PDF

Saeed Jalili, Parisa Kordjamshidi. Applying automatic active text classification in categorization of Iran's Historical Documents. Conference of documents and history of Iran Dec 2002, Tehran, Iran (in Persian language).

Saeed Jalili, Parisa Kordjamshidi. Text categorization based on machine learning techniques. Conference of information technology and optimization of telecommunication industry, Sep 2002 Isfahan, Iran (in Persian language)

Saeed Jalili, Parisa Kordjamshidi. Active text classification and using unlabeled documents. International computer conference of computer society of Iran CSICC2003, Mashhad, Iran (in Persian language,pdf).

Parisa Kord Jamshidi, Getting to know the computer (for non_computer students), ISBN: 964-8798-24-9, Summer 2006 (in Persian language)

Brian Summa

Brian Summa

Associate Professor

(504) 865-5782
School of Science & Engineering

Dr. Summa's Website



308 Paul Hall

Courses Taught

CMPS 3350/6350 – Intro to Computer Graphics

CMPS 3360/6360 – Data Visualization

CMPS 3660/6660 – Image Processing

Education & Affiliations

Ph.D., 2013, University of Utah


Brian Summa is an Associate Professor in Computer Science at Tulane University. His research interests are in large data processing, analysis, and interaction for data visualization and computer graphics applications. His work has supported the creation of deployable, large data processing software that scales from mobile devices to supercomputers. His research in visualization is highly interdisciplinary and has allowed him to work closely with researchers in a variety of disciplines such as geology, physics, and neurobiology.

Research Interests

Large data processing, scientific visualization, computer graphics, scalable algorithms, large data file formats, stream processing, progressive processing, interactive techniques, digital photography, medical data, scientific data, image processing, computational topology for data analysis, high performance computing, energy minimization, and energy approximations.


[J-1] Brian Summa, Amy Ashurst Gooch, Giorgio Scorzelli, Valerio Pascucci. 2015. Paint and Click: Unified Interactions for Image Boundaries. to appear, Computer Graphics Forum (Eurographics 2015).

[J-2] Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer and Valerio Pascucci. 2014. Distributed Seams for Gigapixel Panoramas. to appear, IEEE Transactions on Visualization and Computer Graphics.

[J-3] Atul Runga, Brian Summa, Dogan Demir, Peer-Timo Bremer, Valerio Pascucci. 2013. ManyVis: Multiple Applications in an Integrated Visualization Environment. IEEE Transactions on Visualization and Computer Graphics 19, 12 (Dec. 2013), 2878-2885. (IEEE Visualization 2013)

[J-4] Brian Summa, Julien Tierny and Valerio Pascucci. 2012. Panorama Weaving: Fast and Flexible Seam Processing. ACM Transactions on Graphics 31, 4 (July 2012), 83:1-83:11. (ACM SIGGRAPH 2012)

[J-5] Bei Wang, Brian Summa, Valerio Pascucci, and Mikael Vejdemo-Johansson. 2011. Branching and Circular Features in High Dimensional Data. IEEE Transactions on Visualization and Computer Graphics 17, 12 (December 2011), 1902-1911. (IEEE Visualization 2011)

[J-6] Brian Summa, Giorgio Scorzelli, M, Jiang, Peer-Timo Bremer, and Valerio Pascucci. 2011. Interactive Editing of Massive Imagery Made Simple: Turning Atlanta into Atlantis. ACM Transactions on Graphics 30, (April 2011) 2, 7:1-7:13. (ACM SIGGRAPH 2011)

[J-7] Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao Comba, Valerio Pascucci and Claudio Silva. 2010. Streaming-Enabled Parallel Dataflow Architecture for Multi-core Systems. . Computer Graphics Forum 29, (June 2010) 3, 1073-1082. (EuroVis 2010)

Ramgopal Mettu

Ramgopal Mettu

Associate Professor and Faculty Director of the Online Computer Science Master's Program

(504) 865-5782
School of Science & Engineering
Ramgopal Mettu

Dr. Mettu's Website



303E Stanley Thomas Hall

Education & Affiliations

Ph.D., 2002, University of Texas, Austin


My research interests are in algorithms, machine learning and computational biology. Specifically, my work is focused on the design and analysis of algorithms with guarantees on running time and solution quality that are motivated by, and are necessary for, problems in computational biology. Applications of my work include protein structure prediction and determination, protein-protein interactions, compound screening, as well as problems in high-throughput sequencing and proteomics.

Research Interests

Computational Biology, Algorithms, Discrete Optimization, Machine Learning

Subscribe to School of Science & Engineering