Md Nafiul Alam Nipu

Graduate Student

• Developed and prototyped a web-based visual analytics tool to enable comparative analysis of multiple 3D genome structures, enhancing research capabilities.

• Conducted comprehensive analyses of spatiotemporal multivariate genome data, extracting gene features to support domain experts in their investigations.

Graduate Intern

• Performed detailed analysis of genomic data and designed a prototype for visualizing large 3D genome structures, improving data accessibility and insight generation.

• Enhanced and added features to existing data visualization tool to uncover patterns in temporal datasets.

Graduate Research Assistant

• Conducted research focused on visual data science in oncology, neurosurgery, and computational fluid dynamics, contributing to the advancement of the field.

• Designed, prototyped, developed, and evaluated visual analytics systems in collaboration with various domain experts, driving innovation and application in real-world scenarios.

Projects Worked/Working:

• Comparative Analysis of 3D Genome Structures
  

  • Conducted analysis of raw genomic experimental data and molecular dynamics simulations to extract structural insights.

  • Developed a web-based visualization tool for comparing and exploring multiple genome structures and their features in 3D space.

• Visualizing Data from Wearable Devices for Apnea & Sarcopenia Detection
  

  • Developed a visual analytics framework to support biomedical researchers and oncology clinicians in the early detection of cachexia (weight loss), sarcopenia (loss of lean muscle mass), and apnea (breathing cessation during sleep) in head and neck cancer patients in treatment.

  • Developed a system for retrieving user data from Fitbit smartwatches and Withings smart scales, allowing for continuous monitoring of patient health metrics in real-time, and visualizing multivariate temporal data through an interactive web-based interface.

• Analysis of Human Brain Epilepsy Data
  

  • Conducted in-depth analysis of complex multivariate spatiotemporal epilepsy ensemble data– Mapped electrode information onto the 3D models of the brain surface, developed tailored visual encodings to illustrate spike propagation and brain electrical activities, and integrated tumor data into the brain model using a web-based platform.

  • Utilized dynamic community analysis algorithm and custom algorithms to extract spatial regions and generated 2D snapshots from 3D grid data, enhancing the interpretability of spatial patterns in neural activity.

• High-performance computing and data-driven modeling of aircraft contrails
  

  • Conducted comprehensive analysis of contrail ensemble data, focusing on their characteristics and temporal evolution, utilizing a digital twin system for advanced aircraft engine simulations; employed techniques such as volume rendering and 3D/2D data visualization for enhanced parameter analysis.

  • Developed novel custom machine learning algorithms to detect and analyze contrail spatial shapes and structures, track their temporal evolution, and identify similar patterns among ensemble members.

• Urban Navigation (Urban Toolkit)
  

  • Developed a prototype for an urban toolkit designed for various platforms including Web, Jupyter, and CAVE2, aimed at enhancing urban navigation and user experience.

• QuBBD: Precision E-Radiomics for Dynamic Big Head & Neck Cancer Data
  

  • Developed an advanced visualization system to enhance survival prediction for head and neck cancer patients, utilizing cohort-based similarity analysis to identify trends and improve patient outcomes.

• CAVE2 Airport Control Simulator (Video Game Design Course Project)
  

  • Developed a sophisticated traffic control simulator game for the CAVE2 virtual reality theater, facilitating the efficient and safe routing of arriving and departing aircraft.

• Identifying Similarities and Dissimilarities Between UIC/MDACC RT Plan Data
  

  • Developed a visualization system to analyze and compare similarities and dissimilarities among head and neck cancer patients at UIC and MDACC as part of a Visual Data Science course project.

Graduate Teaching Assistant

• Led instructional efforts in Computer Design, Video Game Design, and UI Design courses, fostering a strong learning environment for students.

• Facilitated office hours, conducted lab presentations, graded assignments, and created hands-on tutorials, actively engaging students in the learning process.

CS426 - Video Game Design: CS 426 covers tools and techniques for the design and implementation of 3D interactive video games. The emphasis of this course is on the game design process, integration of art content into an existing game engine, programming and software development, team-work, and developing a fully-fledged game by the end of the course. In the 2021 edition of the course, computer science students work in small teams to quickly prototype a series of 3D games throughout the term.

CS 422 - User Interface Design and Programming: User interface design, implementation, and evaluation; user-centered design methodologies, windowing systems, I/O devices and techniques, event-loop programming, user studies.

CS362 - Computer Design : Computer hardware building blocks. logic gates; combinational circuits; arithmetic circuits; flip flops and sequential circuits; registers and memory; CPU design; I/O design.

University of Illinois Chicago

GPA: 4.00 (Continuing)