{"id":13923,"date":"2025-04-11T13:36:12","date_gmt":"2025-04-11T17:36:12","guid":{"rendered":"https:\/\/www.qc.cuny.edu\/academics\/cs\/?page_id=13923"},"modified":"2025-04-11T14:13:31","modified_gmt":"2025-04-11T18:13:31","slug":"ccis-projects","status":"publish","type":"page","link":"https:\/\/www.qc.cuny.edu\/academics\/cs\/ccis\/ccis-projects\/","title":{"rendered":"CCIS Projects"},"content":{"rendered":"

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CCIS Collaborative\/Interdisciplinary Projects<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=”on” module_class=”pa-inline-buttons” _builder_version=”4.27.4″ _module_preset=”default” width=”90%” width_tablet=”80%” width_phone=”80%” width_last_edited=”on|desktop” max_width=”80%” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” custom_css_main_element=”display: flex;||justify-content: center;” global_colors_info=”{}”][et_pb_button button_url=”https:\/\/www.qc.cuny.edu\/academics\/cs\/ccis\/” button_text=”Mission” button_alignment=”center” admin_label=”Mission” _builder_version=”4.27.4″ _module_preset=”default” custom_button=”on” button_text_size=”16px” button_text_color=”#000000″ button_bg_color=”#C0C0C0″ button_border_color=”RGBA(255,255,255,0)” button_border_radius=”0px” button_font=”Open Sans|600|||||||” button_use_icon=”off” custom_margin=”|5px|5px||false|false” custom_padding=”||||false|false” custom_css_main_element=”text-decoration: none;” global_colors_info=”{}” button_text_color__hover_enabled=”on|hover” button_text_color__hover=”#E71939″ button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#FFFFFF” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_button button_url=”https:\/\/www.qc.cuny.edu\/academics\/cs\/ccis\/ccis-projects\/” url_new_window=”on” button_text=”Projects” button_alignment=”center” admin_label=”Projects” _builder_version=”4.27.4″ _module_preset=”default” custom_button=”on” button_text_size=”16px” button_text_color=”#FFFFFF” button_bg_color=”#E71939″ button_border_color=”RGBA(255,255,255,0)” button_border_radius=”0px” button_font=”Open Sans|600|||||||” button_use_icon=”off” custom_margin=”|5px|5px||false|false” custom_padding=”||||false|false” hover_enabled=”0″ custom_css_main_element=”text-decoration: none;” global_colors_info=”{}” button_text_color__hover_enabled=”on|hover” button_text_color__hover=”#E71939″ button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#FFFFFF” button_bg_enable_color__hover=”on” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font_size=”15px” global_colors_info=”{}”]<\/p>\n

Research Groups \/ Labs<\/h3>\n

Atmosphere-Biosphere Interactions
Cognitive Neuroscience
Computational and Theoretical Chemistry
Experimental Mathematics
Hydrologic Science
Uncertainty Reasoning<\/p>\n

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Collaborative\/Interdisciplinary Projects<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PI\/Department<\/strong><\/td>\nCollaborator: CS \/ student\/postdoc<\/strong><\/td>\nSynopsis of Project<\/strong><\/td>\n<\/tr>\n
Dr. Moshe Adrian (Mathematics)<\/td>\nDr. Geo Kam-Fai \/ McMaster University<\/td>\nComputing Gauss sums over finite fields. Formulate a conjecture on the distribution of Gauss sums over finite fields.<\/td>\n<\/tr>\n
Dr. Jose Anadon (Biology)<\/td>\nDr. Andr\u00e9s Gim\u00e9nez\/
\nUniversitat Miguel Hern\u00e1ndez
\nDr. Eva Gracia
\nDr. Pedro Abellan Rodenas
\nRoberto Rodriguez<\/td>\n		Impact of habitat loss and fragmentation on viability and genetic structure of animal populations. An individual-based model is used to simulate the functioning of animal populations on both real and simulated landscapes to assess how habitat fragmentation impacts the genetic structure of populations and their probability of extinction. Funded by the Spanish Ministry of Science and Technology.<\/td>\n<\/tr>\n
Dr. Jose Anadon (Biology)<\/td>\nMarlen Acosta<\/td>\nImpact of climate change on the distribution of tree species at regional scales. We will model the impact of climate change on the distribution of >1000 species in Mexico. Our goal is to identify those novel assemblage of species emerging from climate change (i.e. combinations of species that do not exist in present time) as well as those species assemblage that are more likely to disappear.<\/td>\n<\/tr>\n
Dr. Jeff Beeler (Psychology)<\/td>\nDr. Nathaniel Daw\/NYU<\/td>\nModeling mouse adaptive behavior using temporal difference algorithms. Fitting data from semi-naturalistic foraging studies with mice to temporal difference models to understand how reinforcement learning mechanisms mediate allocation of energy and decision-making that underlie adaptive behavioral strategies to different environmental conditions.<\/td>\n<\/tr>\n
Dr. Jeff Beeler (Psychology)<\/td>\nDr. Jakob Kisbye Dreyer\/
\nUniversity of Copenhagen<\/td>\n		Using a simulation model of dopamine cell activity that is based on physiological parameters, this project is taking an information theory perspective to investigate how dopamine encodes information and how that information is decoded by different receptor populations.<\/td>\n<\/tr>\n
Dr. Jeff Beeler\/Psychology<\/td>\nDanielle Aloicius \u2020
\nAlex White \u2020<\/td>\n		Development of an immersion virtual reality system for mouse behavioral studies. Primary development objective includes the development of a domain specific language for scripting and operating the mouse virtual reality.<\/td>\n<\/tr>\n
Dr. John Dennehy\/Biology<\/td>\nDr. Sherin Kannoly
\nIrene Hoxie<\/td>\n		Phylogenetic analyses and protein structural predictions.<\/td>\n<\/tr>\n
Dr. Jin Fan\/Psychology<\/td>\n<\/td>\nProcessing and modeling of fMRI data.<\/td>\n<\/tr>\n
Dr. Jin Fan\/Psychology
\nDr. Changhe Yuan\/Computer Science<\/td>\n		Dr. Tingting Wu
\nDr. Xiaoyuan Zhu \u2020
\nCong Chen \u2020<\/td>\n		Developing advanced Bayesian learning algorithms for in-depth understanding of the mechanisms underlying the functional connectivity of the human brain, which is one of the best ways to elucidate the neural pathways that underlie brain function and behavior. The current study would have a major breakthrough in brain imaging study theoretically and methodologically and would have important implications for clinical diagnosis and treatment.<\/td>\n<\/tr>\n
Dr. Jin Fan\/Psychology<\/td>\nDr. Chao Chen\/University of Stony Brook
\nWeimin Lyu \u2020<\/td>\n		Brain imaging data analysis<\/td>\n<\/tr>\n
Dr. Christopher Hanusa (Mathematics)<\/td>\nMiriam Striks \u2020<\/td>\nStudy of discrete mathematical objects such as permutations, symmetry group elements, lattice point configurations, and core partitions. Computer generation of the set of objects under question gives exact data about the structure of these objects. Data analysis informs conjectures and proof techniques leading to new theorems.<\/td>\n<\/tr>\n
Dr. Christopher Hanusa (Mathematics)<\/td>\nTamar Ehrenreich \u2020
\nNick Catalano<\/td>\n		Research in Combinatorics – Efficient search for mathematical sequences related to combinatorial questions.<\/td>\n<\/tr>\n
Dr. William Hersh (Chemistry)<\/td>\nEric Chan<\/td>\nComputer modeling of complex organic compounds, energy minimization of solution structures, and modeling of NMR spectra, particularly phosphorus NMR, as a means of identifying novel compounds that cannot be isolated and subject to standard analytical methods such as X-ray crystallography.<\/td>\n<\/tr>\n
Dr. Seogjoo Jang (Chemistry)<\/td>\nDr. Pablo Ramos
\nDr. Ning Chen
\nTaner Ture
\nRyan Pangilinan
\nMurali Devi
\nMarta Kowalczyk<\/td>\n		Development of quantum dynamics simulation methods for exciton and charge transport dynamics in complex environments, with particular focus on the interplay of time dependent fluctuations and quantum degrees of freedom. This research is being funded by the National Science Foudation has broader implications for solar energy conversion, sensing, imaging, and information processing.<\/td>\n<\/tr>\n
Dr. Seogjoo Jang (Chemistry)<\/td>\nDr. Pablo Ramos
\nDr. Ning Chen
\nTaner Ture
\nRyan Pangilinan
\nMurali Davi
\nMarta Kowalczyk<\/td>\n		Computational modeling and control of the exciton dynamics in molecular systems. A range of computational methods including quantum master equation, path integral simulation, and machine learning approaches are used in order to accurately understand and precisely control the dynamics of excitons. This research is being funded by the Department of Energy and has significant implications for developing future energy technologies.<\/td>\n<\/tr>\n
Dr. Adam Kapelner (Mathematics)<\/td>\nRebecca Katz \u2020<\/td>\nAn Experiment to Detect Gender Bias in Book Sales and Preferences.<\/td>\n<\/tr>\n
Dr. David Lahti (Biology)<\/td>\nNikki Hanson \u2020
\nJa-Ying Teresa Wu \u2020
\nStacy Wang \u2020<\/td>\n		Online bibliography of environmental thought.<\/td>\n<\/tr>\n
Dr. David Lahti\/Biology
\nDr. Jose Anadon\/Biology<\/td>\n		Eric Roginek<\/td>\nLarge-scale spatially explicit analysis of learned bird song. Songbird vocalizations are socially learned and thus can diverge across time and space like any other cultural trait. The object of this study is to quantify the variation in an extensive dataset of complex songs of the house finch (Haemorhous mexicanus), with a particular eye to understanding how these songs vary across space.<\/td>\n<\/tr>\n
Dr. Larry Liebovitch (Physics)<\/td>\nAisha Javid<\/td>\nFurther development of a computational model (coupled non-linear ordinary differential equations) of how therapists and clients interact in psychotherapy, in particular, to understand how “ruptures” in the therapeutic relationship can be “repaired” by the therapist. http:\/\/link.springer.com\/article\/10.1007%2Fs11571-011-9157-x<\/a><\/td>\n<\/tr>\n
Dr. Larry Liebovitch (Physics)<\/td>\nDavid Futran \u2020
\nDevin Lee \u2020<\/td>\n		Simulation of interacting small world networks.<\/td>\n<\/tr>\n
Dr. Larry Liebovitch (Physics)<\/td>\nAmmad Khan \u2020
\nJavier Mucia \u2020<\/td>\n		Data science analysis of factors in different cultures leading to sustainable peace as determined by machine learning analysis of published & on-line data sources.<\/td>\n<\/tr>\n
Dr. Larry Liebovitch (Physics)<\/td>\nMohamad Salimi\u2020<\/td>\nAnalysis of text and database inofrmation.<\/td>\n<\/tr>\n
Dr. Lev Murokh (Physics)<\/td>\nDavneet Kaur<\/td>\nComputational solutions to equations that provide new insight on factors affecting the optical properties of quantum dot, which is one of the most important building blocks of novel electronic and photonic devices.<\/td>\n<\/tr>\n
Dr. Lev Murokh (Physics)<\/td>\nDr. Vasiliy Znamenskiy<\/td>\nMolecular dynamics simulation.<\/td>\n<\/tr>\n
Dr. Yoko Nomura (Psychology)<\/td>\nSerena Schauer \u2020<\/td>\nA longitudinal study of female participants through their pregnancy including creation of the front-end and back-end of a database.<\/td>\n<\/tr>\n
Dr. Alexey Ovchinnikov (Mathematics)<\/td>\nRichard Gustavson<\/td>\nIn this project, we give upper and lower bounds on the number of differentiations one has to apply to a system of polynomial PDEs to verify whether it is consistent. This would immediately lead to a complexity estimate. For the lower bound, we are constructing a series of examples, and testing them on a high-performance computer.<\/td>\n<\/tr>\n
Dr. Alexey Ovchinnikov (Mathematics)<\/td>\nPeter Thompson<\/td>\nInvestigates upper bounds on degrees to algorithmically verify whether a system of polynomial differential equations is integrable.<\/td>\n<\/tr>\n
Dr. Alexey Ovchinnikov (Mathematics)<\/td>\nDr. Mariya Bessonov\/City Tech, CUNY
\nEsha Sawant<\/td>\n		Parameter identification in ODE models.<\/td>\n<\/tr>\n
Dr. Alexey Ovchinnikov (Mathematics)<\/td>\nGleb Pogudin\/NYU & CUNY<\/td>\nTheory and algorithms for symbolic and symbolic-numeric techniques for systems of polynomial differential and difference equations and applications to the sciences, including parameter identification problems in biology and chemistry.<\/td>\n<\/tr>\n
Dr. Alexey Ovchinnikov (Mathematics)<\/td>\nIlia Ilmer<\/td>\nAnalyzing and improving global identifiability of differential models, https:\/\/github.com\/pogudingleb\/SIAN<\/a>.<\/td>\n<\/tr>\n
Dr. Alex Ryba (Computer Science)<\/td>\nRichard Parker<\/td>\nMatrices over finite fields.
\nhttps:\/\/meataxe64.wordpress.com\/<\/a>
\nhttps:\/\/en.wikipedia.org\/wiki\/Richard_A._Parker<\/a><\/td>\n<\/tr>\n
Dr. John Terilla (Mathematics)<\/td>\n<\/td>\nNeural networks.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nXiyan Xu<\/td>\n3D numerical simulations of wind vector, temperature, CO2 around a eddy-flux tower in complex terrain.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nKat Jensen
\nSuhua Wei<\/td>\n		Climate change and terrestrial ecosystem performance.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nChristine Ramadhin<\/td>\nNonlinear dynamics of paleoclimate transition.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nDavid Kim \u2020
\nDerek Mu
\nMike Taubman \u2020<\/td>\n		A database for research in climate-ecosystem interactions.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nDavid Kim \u2020
\nDerek Mu
\nMike Taubman \u2020<\/td>\n		A database for research in climate-ecosystem interactions.<\/td>\n<\/tr>\n
Dr. Chuixiang Yi (SEES)<\/td>\nDr. Shoichi Furuyama\/
\nToyama National College of Technology<\/td>\n		Computational fluid dynamics.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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CCIS Collaborative\/Interdisciplinary ProjectsResearch Groups \/ Labs Atmosphere-Biosphere InteractionsCognitive NeuroscienceComputational and Theoretical ChemistryExperimental MathematicsHydrologic ScienceUncertainty ReasoningCollaborative\/Interdisciplinary Projects PI\/Department Collaborator: CS \/ student\/postdoc Synopsis of Project Dr. Moshe Adrian (Mathematics) Dr. Geo Kam-Fai \/ McMaster University Computing Gauss sums over finite fields. Formulate a conjecture on the distribution of Gauss sums over finite fields. Dr. Jose Anadon […]<\/p>\n","protected":false},"author":197,"featured_media":0,"parent":13913,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"page_category":[],"wf_page_folders":[262],"class_list":["post-13923","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/pages\/13923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/users\/197"}],"replies":[{"embeddable":true,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/comments?post=13923"}],"version-history":[{"count":0,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/pages\/13923\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/pages\/13913"}],"wp:attachment":[{"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/media?parent=13923"}],"wp:term":[{"taxonomy":"page_category","embeddable":true,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/page_category?post=13923"},{"taxonomy":"wf_page_folders","embeddable":true,"href":"https:\/\/www.qc.cuny.edu\/academics\/cs\/wp-json\/wp\/v2\/wf_page_folders?post=13923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}