Dr. Fucich's scientific interests include understanding the neurobiological basis of psychiatric illnesses such as depression, post-traumatic stress disorder, and alcohol use disorder. Overall, Dr. Fucich is interested in conditions that co-occur with these disorders (like stress and brain injury), pathophysiological features shared by these disorders (like prefrontal cortex and amygdala dysfunction), as well as the mechanisms of behavioral therapies used to treat these often comorbid illnesses.

Publications

Jacotte-Simancas A, Fucich EA, Stielper ZF, Molina PE. Traumatic brain injury and the misuse of alcohol, opioids, and cannabis. Int Rev Neurobiol. 2021;157:195-243. https://doi.org/10.1016/bs.irn.2020.09.003

Stielper ZF, Fucich EA, Middleton JW, Hillard CJ, Edwards S, Molina PE, Gilpin NW. Traumatic brain injury and alcohol drinking alter basolateral amygdala endocannabinoids in female rats. J Neurotrauma. 2021;38(4):422-34. https://doi.org/10.1089/neu.2020.7175

Fucich EA, Stielper ZF, Cancienne H, Edwards S, Gilpin NW, Molina PE, Middleton JW. Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury. J Neurophysiol. 2020;123(2):707-17. https://doi.org/10.1152/jn.00570.2019

Fucich EA*, Mayeux JP*, McGinn MA, Gilpin NW, Edwards S, Molina PE. A novel role for the endocannabinoid system in ameliorating motivation for alcohol drinking and negative behavioral affect following traumatic brain injury in rats. J Neurotrauma. 2019;36(11):1847-55. https://doi.org/10.1089/neu.2018.5854

Fucich EA, Morilak DA. Shock-probe defensive burying test to measure active versus passive coping style in response to an aversive stimulus in rats. Bio Protoc. 2018;8(17):e2998. https://doi.org/10.21769/BioProtoc.2998

Girotti M, Adler SM, Bulin SE, Fucich EA, Paredes D, Morilak DA. Prefrontal cortex executive processes affected by stress in health and disease. Prog Neuropsychopharmacol Biol Psychiatry. 2018;85:161-79. https://doi.org/10.1016/j.pnpbp.2017.07.004

Fucich EA, Paredes D, Saunders MO, Morilak DA. Activity in the ventral medial prefrontal cortex is necessary for the therapeutic effects of extinction in rats. J Neurosci. 2018;38(6):1408-17. https://doi.org/10.1523/JNEUROSCI.0635-17.2017

Fucich EA, Paredes D, Morilak DA. Therapeutic effects of extinction learning as a model of exposure therapy in rats. Neuropsychopharmacology. 2016;41(13):3092-102. https://doi.org/10.1038/npp.2016.127

Thompson PM, Cruz DA, Fucich EA, Olukotun DY, Takahashi M, Itakura M. SNAP-25a/b isoform levels in human brain dorsolateral prefrontal cortex and anterior cingulate cortex. Mol Neuropsychiatry. 2015;1(4):220-34. https://doi.org/10.1159/000441224

Dr. Deen’s laboratory studies how we perceive and reason about other people, using cognitive neuroscience methods including neuroimaging and behavioral testing. Humans have a particularly sophisticated understanding of other people. We explain others' behavior in terms of its underlying causes - mental states like beliefs and desires - using a theory of mind. We store information about familiar people in long-term memory, and use this person knowledge to tailor our explanations and predictions to specific individuals. Dr. Deen’s research asks what processes in the mind and brain support this impressive social understanding. The lab's methodological focus is on functional magnetic resonance imaging (fMRI), using a precise characterization of organization in individual brains to ask questions about the functional architecture of high-level cognition. The lab also employs specialized methods for scanning human infants, to study the early development of brain areas involved in social understanding.

Dr. Deen is currently accepting graduate students through the Psychology and Neuroscience Ph.D. programs.

Social Memory Lab

3039 Percival Stern Hall

Deen, B., Saxe, R., Kanwisher, N.G. (2020). Processing communicative facial and vocal cues in the superior temporal sulcus. NeuroImage, 221(1), 117191.

Deen, B., Saxe, R. (2019). Parts-based representations of perceived face movements in the superior temporal sulcus. Human Brain Mapping, 40(8), 2499-2510.

Deen, B., Richardson, H., Dilks, D., Takahashi, A., Keil, B., Wald, L., Kanwisher, N.G., Saxe, R. (2017). Organization of high-level visual cortex in human infants. Nature Communications, 8, 13995.

Deen, B., Koldewyn, K., Kanwisher, N.G., Saxe, R. (2015). Functional organization of social perception and cognition in the superior temporal sulcus. Cerebral Cortex, 25(11), 4596-4609.

I received my Bachelor's and Master’s degrees in Computer Science & Engineering from Shanghai Jiaotong University, China. After that, I obtained a Ph.D. degree in Computer Engineering from the University of Florida in Spring 2005. My research area is computer systems and architecture focusing on many design issues on CPUs and GPUs, quantum processors, accelerators and applications for deep learning neural networks, and blockchain and its applications. My works were published in diverse conferences and journals including ISCA, HPCA, PPoPP, DAC, ICS, IPDPS, SRDS, and multiple IEEE/ACM journals. I received an ORAU Ralph E. Powe Junior Faculty Enhancement Award in 2007 and the Best Paper Award from IEEE International Green and Sustainable Computing Conference (IGSC) in 2019 and IEEE International Conference on Computer Design (ICCD) processor architecture track in 2001. I am a senior member of the IEEE and the ACM.

Selected Publications

W. Zhang, C. Zhao, L. Peng, Y. Lin, F. Zhang, and Y. Lu, "Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization," in Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), Montreal, Canada, Feb. 2023.

T. Lu,  F. Qi, J. Ner, T. Feng, B. Cunningham, and L. Peng, "GeauxTrace: A Scalable Privacy-Protecting Contact Tracing App Design Using Blockchain," in Proceedings of the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Vancouver, WA, Dec. 2022.

F. Lin, X. Yuan, L. Peng, and N.-F. Tzeng, “Cascade Variational Auto-Encoder for Hierarchical Disentanglement,” In Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM), October 2022.

T. LeCompte, F. Qi, and L. Peng, “Robust Cache-Aware Quantum Processor Layout,” In Proceedings of the 39th IEEE International Symposium on Reliable Distributed Systems (SRDS), Shanghai, China, Sep. 2020.

T. Lu and L. Peng, “BPU: A Blockchain Processing Unit for Accelerated Smart Contract Execution,” In Proceedings of the 57th ACM/IEEE Annual Design Automation Conference (DAC), San Francisco, CA, Jul. 2020.

S. Chen, F. Zhang, L. Liu, and L. Peng, “Efficient GPU NVRAM Persistence with Helper Warps,” In Proceedings of the 56th ACM/IEEE Annual Design Automation Conference (DAC), Las Vegas, NV, Jun. 2019.

Z. Yan, Y. Lin, L. Peng, W. Zhang, “Harmonia: A High Throughput B+tree for GPUs,” In Proceedings of the 24th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), Washington DC, Feb. 2019.

S. Chen, L. Peng, and S. Irving, “Accelerating GPU Hardware Transactional Memory with Snapshot Isolation,” In Proceedings of The ACM/IEEE 44th International Symposium on Computer Architecture (ISCA), Toronto, ON, Canada, Jun. 2017.

X. Xiang, W. Shi, S. Ghose, L. Peng, O. Mutlu, and N.-F. Tzeng, “Carpool: A Bufferless NoC with Adaptive Multicast and Hotspot Alleviation,” In Proceedings of the 31st ACM International Conference on Supercomputing (ICS), Chicago, IL, Jun. 2017.

S. Chen and L. Peng, “Efficient GPU Hardware Transactional Memory through Early Conflict Resolution,” In Proceedings of the 22nd IEEE International Symposium on High-Performance Computer Architecture (HPCA), Barcelona, Spain, Mar. 2016.

S.-M. Chen, Y. Hu, Y. Zhang, L. Peng, J. Ardonne, S. Irving, and A. Srivastava, “Increasing Off-Chip Bandwidth in Multi-Core Processors with Switchable Pins,” In Proceedings of The ACM/IEEE 41st International Symposium on Computer Architecture (ISCA), Minneapolis, MN, Jun. 2014.

Y. Zhang, L. Peng, X. Fu, and Y. Hu, “Lighting the Dark Silicon by Exploiting Heterogeneity on Future Processors,” In Proceedings of the 50th ACM/IEEE Annual Design Automation Conference (DAC), Austin, TX, Jun. 2013.

L. Duan, B. Li and L. Peng, “Versatile Prediction and Fast Estimation of Architectural Vulnerability Factor from Processor Performance Metrics,” In Proceedings of the 15th IEEE International Symposium on High-Performance Computer Architecture (HPCA), Raleigh, NC, Feb. 2009.

X. Shi, Z. Yang, J-K. Peir, L. Peng, Y-K. Chen, V. Lee, and B. Liang, “Coterminous Locality and Coterminous Group Data Prefetching on Chip-Multiprocessors”, In Proceedings of the 20th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Rhodes Island, Greece. Apr. 2006.

L. Peng, J-K. Peir and K. Lai, “Signature Buffer: Bridging Performance Gap between Registers and Caches”, In Proceedings of the 10th IEEE International Symposium on High-Performance Computer Architecture (HPCA), Madrid, Spain, Feb. 2004.

Dr. Kareem's research interests include Igneous and Metamorphic Petrology, Low and High Temperature Geochemistry, Chemistry of the Archean Mantle, Volcanology, and Petroleum Geology.