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26  <link rel="stylesheet" href="/assets/css/main.css">
27
28  <title>Jeova Farias</title>
29</head>
30
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32
33<body>
34  <div class="container">
35    
36
37<section id="header-nav">
38  <header>
39    <nav>
40      <ul>
41        
42            <li class="current">Home</li>
43            <a href="/assets/pdfs/CV.pdf" target="_blank" rel="noopener noreferrer">
44                <li class="btn-nav">CV</li>
45            </a>
46            <a href="/publications">
47                <li class="btn-nav">Publications</li>
48            </a>
49            <a href="/teaching">
50                <li class="btn-nav">Teaching</li>
51            </a> 
52        
53      </ul>
54    </nav>
55  </header>
56</section>
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62</div><!-- This Tag means End .container -->
63<div id="portfolio">
64  <section id="about-me">
65    <div class="row">
66      <div class="img-wrap col-12 col-md-4">
67        <div class="img">
68          <img src="/assets/img/myphoto.png" alt="user_image">
69        </div>
70      </div>
71      <div class="text-wrap col-12 col-md-8">
72        <h2 class="username">Jeova Farias Sales Rocha Neto</h2>
73        <div class="description"><p>I am an Assistant Professor of Computer Science at <
73a href="https://www.bowdoin.edu/">Bowdoin College</a>. Before that, I was a Visitor Professor in the Computer Science Department at <a href="https://www.haverford.edu/">Haverford College</a>. I received a PhD in Computer Engineering and a Masters in Applied Mathematics from <a href="https://www.brown.edu/">Brown University</a> in 2021, where I was advised by Prof. <a href="cs.brown.edu/people/pfelzens/">Pedro Felzenszwalb</a>. In 2015, I earned a Masters degree in Computer Science at  <a href="unice.fr">University of Nice-Sophia Antipolis</a> under Prof. <a href="http://www.i3s.unice.fr/~am/Biography.html">Marc Antonini</a> and prior to that I completed my Bachelors degree in Computer Engineering at <a href="http://www.ufc.br">Federal University of Ceara (UFC)</a> under Prof. <a href="http://lattes.cnpq.br/5144730275745518">Fátima Medeiros</a>. <br /> <br />  I am broadly interested in unsupervised problems in Computer Vision and Machine Learning. In my current research, I am interested in using discrete optimization, statistics and deep learning to tackle Image Segmentation and Clustering. Previously, I worked on machine learning problems involving Probabilistic Graphical Models and Semidefinite Programming. In my undergrad years, my research focus was on Synthetic Aperture Radar and Biomedical Image Segmentation using Level Sets.</p>
74</div>
75
76        <ul id="icons">
77          
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79<li>
80  <a href="mailto:%6A%65%6F%76%61_%66%61%72%69%61%73@%62%72%6F%77%6E.%65%64%75" title="Email">
81    <i class="fas fa-envelope"></i>
82  </a>
83</li>
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89<li>
90  <a href="https://scholar.google.com/citations?user=jpdvR1IAAAAJ&hl" title="Google Scholar">
91    <i class="ai ai-google-scholar"></i>
92</li>
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100<li>
101  <a href="https://www.linkedin.com/in/jeova-farias" title="Linkedin">
102    <i class="fab fa-linkedin"></i>
103  </a>
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108<li>
109  <a href="https://github.com/jeovafarias" title="Github">
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128        </ul>
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130    </div>
131    <div class="bg"></div>
132  </section>
133  <!-- career section -->
134  <section id="career" class="row">
135    <article class="exper col-12 col-md-6">
136      <p class="title">EDUCATION</p>
137<ul class="exper-list">
138  
139  <li class="meta">
140    <p class="date">2016 &ndash; 2021</p>
141    <p class="description"><em>PhD in Computer Engineering + M. Sc. in Applied Mathematics</em></p>
142    <p class="university">Brown University (Providence, USA)</p>
143
144  </li>
145  
146  <li class="meta">
147    <p class="date">2014 &ndash; 2015</p>
148    <p class="description"><em>M. Sc. in Computer Science</em></p>
149    <p class="university">University of Nice-Sophia Antipolis (Nice, France)</p>
150
151  </li>
152  
153  <li class="meta">
154    <p class="date">2011 &ndash; 2015</p>
155    <p class="description"><em>B. Eng. in Telematics Engineering</em></p>
156    <p class="university">Federal University of Ceará (Fortaleza, Brazil)</p>
157
158  </li>
159  
160</ul>
161
162    </article>
163    <article class="skills col-12 col-md-6">
164      <!--<p class="title">CURRENT EMPLOYMENT</p>
165<ul class="interests-list">
166  
167  <li  class="interest">Haverford College</li>
168  
169  <li  class="interest">Maxia</li>
170  
171</ul>-->
172
173<p class="title">RESEARCH INTERESTS</p>
174<ul class="interests-list">
175  
176  <li class="interest">Statistical Learning for Image Segmentation.</li>
177  
178  <li class="interest">Intepretable Spectral Clustering and Image Segmentation.</li>
179  
180  <li class="interest">Fast Methods for Data Clustering.</li>
181  
182  <li class="interest">Usupervised Deep Learning solutions for Image Segmentation and Clustering.</li>
183  
184  <li class="interest">Applications  level sets in Biomedical and SAR imagery.</li>
185  
186  <li class="interest">Discrete Optimization using Graph-Cuts.</li>
187  
188</ul>
189
190<!--      <p class="title">SKILLS</p>
191<ul class="skill-list">
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193  <li class="skill">
194    <p class="name">Matlab</p>
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196      <div class="progress-bar" style="width: 90%">
197        <div class="progress-value">90%</div>
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202  <li class="skill">
203    <p class="name">Python (Numpy, keras, Tensorflow, Pandas ...)</p>
204    <div class="progress">
205      <div class="progress-bar" style="width: 85%">
206        <div class="progress-value">85%</div>
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212    <p class="name">Latex</p>
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221    <p class="name">Java</p>
222    <div class="progress">
223      <div class="progress-bar" style="width: 50%">
224        <div class="progress-value">50%</div>
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228  
229</ul>-->
230    </article>
231  </section>
232
233  <section id="project">
234  <div class="project-wrap">
235    <p class="title">PROJECTS</p>
236    <div class="card-container">
237      
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239      
240      <div class="card-wrapper">
241        <div class="card">
242          
243          <div class="img-wrap">
244            <img src="/assets/project/level_set.png" alt="">
245          </div>
246          
247          <div class="text-wrap ">
248            <div class="title-wrap">
249              <p class="date"></p>
250              <div class="title">Level Sets for Image Segmentation</div>
251            </div>
252            <div class="meta">
253              
254            </div>
255            <div class="description">Improving level set methods for image segmentation using local image statistics.</div>
256          </div>
257          <div class="icons">
258            
259            
260            <a title="1" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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264      </div>
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269  <div class="modal-content">
270    <div class="close-modal" onClick="close_modal()">
271      <p>&times;</p>
272    </div>
273    <div class="header">
274      <p class="date"></p>
275      <p class="title">Level Sets for Image Segmentation</p>
276      <p class="summary"></p>
277    </div>
278    <div class="content">
279      
280        <img src="/assets/project/level_set.png" alt="">
281      
282      <div class="description">Improving level set methods for image segmentation using local image statistics.</div>
283      
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295          <div class="img-wrap">
296            <img src="/assets/project/nmf.png" alt="">
297          </div>
298          
299          <div class="text-wrap ">
300            <div class="title-wrap">
301              <p class="date"></p>
302              <div class="title">Statistical Color Model Estimation for Segmentation</div>
303            </div>
304            <div class="meta">
305              
306            </div>
307            <div class="description">Directly estimating segmentation appearence models from images using statitical techiniques, such as Non negative Matrix Factorization.</div>
308          </div>
309          <div class="icons">
310            
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312            <a title="2" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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323      <p>&times;</p>
324    </div>
325    <div class="header">
326      <p class="date"></p>
327      <p class="title">Statistical Color Model Estimation for Segmentation</p>
328      <p class="summary"></p>
329    </div>
330    <div class="content">
331      
332        <img src="/assets/project/nmf.png" alt="">
333      
334      <div class="description">Directly estimating segmentation appearence models from images using statitical techiniques, such as Non negative Matrix Factorization.</div>
335      
336    </div>
337  </div>
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344      <div class="card-wrapper">
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348            <img src="/assets/project/graph_clustering.png" alt="">
349          </div>
350          
351          <div class="text-wrap ">
352            <div class="title-wrap">
353              <p class="date"></p>
354              <div class="title">Spectral Clustering and Image Segmentation</div>
355            </div>
356            <div class="meta">
357              
358            </div>
359            <div class="description">Improving the classical spectral algorithms for real applications.</div>
360          </div>
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364            <a title="3" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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375      <p>&times;</p>
376    </div>
377    <div class="header">
378      <p class="date"></p>
379      <p class="title">Spectral Clustering and Image Segmentation</p>
380      <p class="summary"></p>
381    </div>
382    <div class="content">
383      
384        <img src="/assets/project/graph_clustering.png" alt="">
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386      <div class="description">Improving the classical spectral algorithms for real applications.</div>
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400            <img src="/assets/project/sar_seg.png" alt="">
401          </div>
402          
403          <div class="text-wrap ">
404            <div class="title-wrap">
405              <p class="date"></p>
406              <div class="title">Statistical Learning on SAR Imagery</div>
407            </div>
408            <div class="meta">
409              
410            </div>
411            <div class="description">Using statistical techinques to improve SAR image understanding and segmentation.</div>
412          </div>
413          <div class="icons">
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416            <a title="4" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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423      <div id="4" class="modal">
424  <div class="modal-background" onClick="close_modal()"></div>
425  <div class="modal-content">
426    <div class="close-modal" onClick="close_modal()">
427      <p>&times;</p>
428    </div>
429    <div class="header">
430      <p class="date"></p>
431      <p class="title">Statistical Learning on SAR Imagery</p>
432      <p class="summary"></p>
433    </div>
434    <div class="content">
435      
436        <img src="/assets/project/sar_seg.png" alt="">
437      
438      <div class="description">Using statistical techinques to improve SAR image understanding and segmentation.</div>
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440    </div>
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451          <div class="img-wrap">
452            <img src="/assets/project/graph_cut.png" alt="">
453          </div>
454          
455          <div class="text-wrap ">
456            <div class="title-wrap">
457              <p class="date"></p>
458              <div class="title">Deep Learning for Data Clustering</div>
459            </div>
460            <div class="meta">
461              
462            </div>
463            <div class="description">New techinques for Deep Learning-bases clustering using Graph Cuts, CNNs and Transformers.</div>
464          </div>
465          <div class="icons">
466            
467            
468            <a title="5" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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470          </div>
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475      <div id="5" class="modal">
476  <div class="modal-background" onClick="close_modal()"></div>
477  <div class="modal-content">
478    <div class="close-modal" onClick="close_modal()">
479      <p>&times;</p>
480    </div>
481    <div class="header">
482      <p class="date"></p>
483      <p class="title">Deep Learning for Data Clustering</p>
484      <p class="summary"></p>
485    </div>
486    <div class="content">
487      
488        <img src="/assets/project/graph_cut.png" alt="">
489      
490      <div class="description">New techinques for Deep Learning-bases clustering using Graph Cuts, CNNs and Transformers.</div>
491      
492    </div>
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494</div>
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501        <div class="card">
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503          <div class="img-wrap">
504            <img src="/assets/project/cnn.png" alt="">
505          </div>
506          
507          <div class="text-wrap ">
508            <div class="title-wrap">
509              <p class="date"></p>
510              <div class="title">Deep Learning for Supervised and Unsupervised Image Segmentation</div>
511            </div>
512            <div class="meta">
513              
514            </div>
515            <div class="description">Creating new architecures and training startegies that leverage local and global image contents for both supervised and unsupervised segmentation.</div>
516          </div>
517          <div class="icons">
518            
519            
520            <a title="6" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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529  <div class="modal-content">
530    <div class="close-modal" onClick="close_modal()">
531      <p>&times;</p>
532    </div>
533    <div class="header">
534      <p class="date"></p>
535      <p class="title">Deep Learning for Supervised and Unsupervised Image Segmentation</p>
536      <p class="summary"></p>
537    </div>
538    <div class="content">
539      
540        <img src="/assets/project/cnn.png" alt="">
541      
542      <div class="description">Creating new architecures and training startegies that leverage local and global image contents for both supervised and unsupervised segmentation.</div>
543      
544    </div>
545  </div>
546</div>
547      
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555          <div class="img-wrap">
556            <img src="/assets/project/gan.png" alt="">
557          </div>
558          
559          <div class="text-wrap ">
560            <div class="title-wrap">
561              <p class="date"></p>
562              <div class="title">Psychological Perpectives in Deep Image Generation</div>
563            </div>
564            <div class="meta">
565              
566            </div>
567            <div class="description">Study of how certain patterns, such as biases, emerge in modern image generation algorithms.</div>
568          </div>
569          <div class="icons">
570            
571            
572            <a title="7" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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579      <div id="7" class="modal">
580  <div class="modal-background" onClick="close_modal()"></div>
581  <div class="modal-content">
582    <div class="close-modal" onClick="close_modal()">
583      <p>&times;</p>
584    </div>
585    <div class="header">
586      <p class="date"></p>
587      <p class="title">Psychological Perpectives in Deep Image Generation</p>
588      <p class="summary"></p>
589    </div>
590    <div class="content">
591      
592        <img src="/assets/project/gan.png" alt="">
593      
594      <div class="description">Study of how certain patterns, such as biases, emerge in modern image generation algorithms.</div>
595      
596    </div>
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605        <div class="card">
606          
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609          </div>
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611          <div class="text-wrap ">
612            <div class="title-wrap">
613              <p class="date"></p>
614              <div class="title">Segmentation from Superpixels</div>
615            </div>
616            <div class="meta">
617              
618            </div>
619            <div class="description">Utilizing statistic
619al and graphical modeling for segmentation using superpixels.</div>
620          </div>
621          <div class="icons">
622            
623            
624            <a title="8" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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631      <div id="8" class="modal">
632  <div class="modal-background" onClick="close_modal()"></div>
633  <div class="modal-content">
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635      <p>&times;</p>
636    </div>
637    <div class="header">
638      <p class="date"></p>
639      <p class="title">Segmentation from Superpixels</p>
640      <p class="summary"></p>
641    </div>
642    <div class="content">
643      
644        <img src="/assets/project/superpixel.png" alt="">
645      
646      <div class="description">Utilizing statistical and graphical modeling for segmentation using superpixels.</div>
647      
648    </div>
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651      
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656      <div class="card-wrapper">
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658          
659          <div class="img-wrap">
660            <img src="/assets/project/irt.png" alt="">
661          </div>
662          
663          <div class="text-wrap ">
664            <div class="title-wrap">
665              <p class="date"></p>
666              <div class="title">Techiniques to Efficiently Measure Student Performnace</div>
667            </div>
668            <div class="meta">
669              
670            </div>
671            <div class="description">Finding algorithms that impronte the classical estimators for Item Respose Theory</div>
672          </div>
673          <div class="icons">
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675            
676            <a title="9" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a>
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685  <div class="modal-content">
686    <div class="close-modal" onClick="close_modal()">
687      <p>&times;</p>
688    </div>
689    <div class="header">
690      <p class="date"></p>
691      <p class="title">Techiniques to Efficiently Measure Student Performnace</p>
692      <p class="summary"></p>
693    </div>
694    <div class="content">
695      
696        <img src="/assets/project/irt.png" alt="">
697      
698      <div class="description">Finding algorithms that impronte the classical estimators for Item Respose Theory</div>
699      
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702</div>
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710
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722  <div class="title">Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts</div>
723  <!-- Author -->
724  <div class="author">Wasserman, Isaac,&nbsp;and <em>Farias Sales Rocha Neto, Jeova</em>
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731    2024
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736
737  <!-- Title -->
738  <div class="title">Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes</div>
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740  <div class="author">Soemitro, Dylan,&nbsp;and <em>Farias Sales Rocha Neto, Jeova</em>
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747    2024
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752
753  <!-- Title -->
754  <div class="title">A Sparse Graph Formulation for Efficient Spectral Image Segmentation</div>
755  <!-- Author -->
756  <div class="author">Palnitkar, Rahul,&nbsp;and <em>Farias Sales Rocha Neto, Jeova</em>
757        
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759
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761  
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763    2023
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