# Aadam (@aadam.dev)

Profile: https://sifa.id/p/aadam.dev
Headline: Ph.D. Student | AI Researcher Exploring Neurosymbolic AI & its Applications Across Domains
Location: Indianapolis, Indiana, United States

## About

I am a Ph.D. student at Indiana University's Luddy School, where my research intersects AI and computational biology. Initially focused on the complexities of the tumor microenvironment using advanced spatial and single-cell technologies, I am now expanding my expertise into Neurosymbolic AI and exploring its applications across various domains.

With a strong foundation in Computer Science and programming, I integrate computational methods to solve complex problems and uncover insights from data. My passion for continuous learning drives me to explore innovative projects that bridge the gap between AI and real-world applications, from healthcare to other cutting-edge fields.

Let's connect and discuss how we can collaborate to push the boundaries of AI and its transformative potential across industries.

## Career

- **Graduate Research Assistant at Indiana University Indianapolis** (Aug 2023 - Present)
  Indianapolis, Indiana, US
  • Developed a comprehensive pipeline to analyze the effects of neoadjuvant chemotherapy on pancreatic cancer, using spatial, single‑cell, and bulk RNA‑seq data for holistic insights.
  • Optimized ISCHIA algorithm by translating codebase from R to Julia, achieving a remarkable 1500x speedup in processing time and enhancing research efficiency.
  • Developed a pipeline for processing subcellular spatial RNA‑seq data (stereo‑seq), leveraging advanced deep learning methods to extract single‑cell level information, facilitating high‑resolution tissue analysis
- **Research Assistant at Zayed University** (Jul 2022 - Jun 2023)
  Dubai, AE
  • Designed and implemented a Python framework extending the Carla simulator by integrating a PGM model to simulate dynamic environments representing real‑world scenarios, particularly focusing on unpredictable elements such as pedestrian behavior and traffic patterns.
  • Engineered an innovative system of intelligent sensor towers within CARLA, leveraging multi‑modal sensor fusion techniques to provide comprehensive environmental data for autonomous vehicles.
  • Contributed to advancing autonomous driving research by providing a more realistic and challenging virtual testing environment, potentially accelerating the development and validation of self‑driving technologies.
- **Data Engineer at Afiniti** (Mar 2021 - Nov 2021)
  Islamabad, Islāmābād, PK
  • Worked as part of the data engineering team, focusing on optimizing data pipelines and ensuring the accuracy and efficiency of data flow.
  • Led large‑scale data conversions, transforming raw datasets into standardized formats using Talend, enhancing the reliability of the data for analytical purposes.
  • Collaborated closely with cross‑functional teams to address data inconsistencies and streamline ETL processes, significantly reducing data processing times.
  • Developed monitoring tools to track the health and performance of data pipelines, allowing for proactive maintenance and reduced downtime.
- **Graduate Research And Teaching Assistant at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology** (Aug 2019 - Jul 2021)
  Swabi, Khyber Pakhtunkhwa, PK
  • Designed and developed a capsule-based deep learning model for emotion classification using EEG signals.
  • Developed and deployed an emotion classification NLP model using PyTorch, FastAPI, Firebase, and GCP.
  • Developed a 3D pose-detection model using skeleton data, giving state-of-the-art results on a huge 3D video dataset.
- **Software Engineer at Computer and Communication Research Lab** (Mar 2016 - May 2018)
  Haripur District, Khyber Pakhtunkhwa, PK
  • Designed an opinion mining system using OpenER which collects data using Twitter API and displays the results in colorful interactive visualizations using D3.js.
  • Developed an online Secure Paper Printing portal, Sprint, using ASP.NET to be used by Faculty Members in the University for efficient and organized paper printing.

## Skills

### Other
- Algorithms
- Android Development
- Artificial Intelligence (AI)
- Augmented Reality (AR)
- Autonomous Vehicles
- BERT (Language Model)
- C++
- Cancer Biology
- Cancer Genomics
- CARLA
- Competitive Programming
- Computer Science
- Computer Vision
- Data Engineering
- Data Structures
- Deep Learning
- Deep Reinforcement Learning
- EEG
- Extract, Transform, Load (ETL)
- FastAPI
- Firebase
- Google ARCore
- Google Cloud Platform (GCP)
- Java
- JavaScript
- Julia (Programming Language)
- Kotlin
- Large Language Models (LLM)
- Machine Learning
- Modeling and Simulation
- Natural Language Processing (NLP)
- NeuroSymbolic AI
- Optimization
- Presentation Skills
- Probabilistic Models
- Problem Solving
- Python (Programming Language)
- PyTorch
- Quantum Computing
- R (Programming Language)
- Research Skills
- RNAseq Analysis
- Single Cell Omics
- Spatial Omics
- Speech Recognition
- SQL
- Svelte
- Talend
- TensorFlow
- Transcriptomics
- Transformer Models

## Projects

- **ISCHIA: LR Co-occurrence Analysis** (Nov 2023 - Jan 2024)
  • Optimized the ISCHIA algorithm by translating its codebase from R to Julia, significantly enhancing processing speed.
  • Achieved a 1500x speedup in processing time, reducing the runtime from nearly 3 hours to just 6 seconds on their dataset.
- **EmotiFire: Emotion Classification** (Aug 2020 - Nov 2020)
  Developed an NLP model for emotion classification using transfer learning from BERT.
  • Designed and implemented a REST API with FastAPI, deployed on GCP, and utilized Firebase for data storage.
  • Built a static web app using Svelte, optimizing load times and enhancing user interaction.
  • Technologies Used: BERT, FastAPI, Firebase, GCP, Svelte.
- **Khoji: Location Visualization using Augmented Reality** (Sep 2010 - Oct 2011)
  • Designed a real‑time location tracking system with AR visualization for contact locations.
  • Integrated real‑time chat functionality and a chatbot to enhance user engagement and usability.
  • Overcame challenges in real‑time data synchronization and AR visualization to ensure smooth user experiences, even in varying network conditions.

## Publications

- CARLA+: An Evolution of the CARLA Simulator for Complex Environment Using a Probabilistic Graphical Model — Drones (Feb 2023) https://www.mdpi.com/2504-446X/7/2/111
- EmoPercept: EEG-based emotion classification through perceiver — Soft Computing (Jan 2022) https://link.springer.com/article/10.1007/s00500-021-06578-4
- Implanting Intelligence in 5G Mobile Networks—A Practical Approach — Electronics (Jan 2022) https://www.mdpi.com/2079-9292/11/23/3933
- Clustering of graphs using pseudo-guided random walk — Journal of Computational Science (Jan 2021) https://www.sciencedirect.com/science/article/pii/S1877750320305779

## Credentials

- NeuroSymbolic AI Summer School 2024 — Centaur AI Institute (Sep 2024) https://1drv.ms/b/s!ArFRZxDC3vujhc9alasfHpOlMAn3fQ?e=9ObuV7
- Cancer Biology Specialization — The Johns Hopkins University (Mar 2023) https://www.coursera.org/account/accomplishments/specialization/TE9GZZ3ETWVF
- Quantum Computing: from Basics to the Cutting Edge Specialization — Saint Petersburg State University (Sep 2022) https://www.coursera.org/account/accomplishments/specialization/XMU8QDYGFN9B
- 5G for Everyone — Qualcomm (Jun 2022) https://www.coursera.org/account/accomplishments/records/Z2CY45QK52UB
- Data Engineering Foundations Specialization — IBM (Jun 2021) https://www.coursera.org/account/accomplishments/specialization/8GXDHFKVYCUL
- Mathematics for Machine Learning Specialization — Imperial College London (Nov 2020) https://www.coursera.org/account/accomplishments/specialization/YT2V7JH9XXRJ
- Accelerated Computer Science Fundamentals Specialization — University of Illinois at Urbana Champaign (Jun 2020) https://www.coursera.org/account/accomplishments/specialization/QT3L4QT6S7TD
- Machine Learning for Trading Specialization — New York Institute of Finance (Apr 2020) https://www.coursera.org/account/accomplishments/specialization/LDDBX8289FCE
- Deep Reinforcement Learning — Udacity (Nov 2019)
- IBM Data Science Specialization — IBM (Aug 2019) https://www.coursera.org/account/accomplishments/specialization/VVXDDVNM4WE7
- Deep Learning — Udacity (Feb 2019)
- Programming with Google Go Specialization — UC Irvine (Feb 2019) https://www.coursera.org/account/accomplishments/specialization/SMWG964FLUWN
- Developing Applications with Google Cloud Specialization — Google Cloud Training Online (Sep 2018) https://www.coursera.org/account/accomplishments/specialization/UVN4X5276B6J
- Machine Learning on Google Cloud Specialization — Google Cloud Training Online (Aug 2018) https://www.coursera.org/account/accomplishments/specialization/39EHGACKB2UY
- Deep Learning Specialization — DeepLearning.AI (Feb 2018) https://www.coursera.org/account/accomplishments/specialization/TNUJ6SHQY8ZF
- Android Developer Nanodegree — Udacity (2018)
- Machine Learning Engineer Nanodegree — Udacity (Jun 2017)
- Python for Everybody Specialization — University of Michigan (Apr 2016) https://www.coursera.org/account/accomplishments/specialization/MCQEBV9WPS59
- Java Programming and Software Engineering Fundamentals Specialization — Duke University (Jan 2016) https://www.coursera.org/account/accomplishments/specialization/M6D4V4SVAAQK

## Education

- **Luddy School of Informatics, Computing, and Engineering, Indianapolis** — Doctor of Philosophy - PhD (Aug 2023 - Jul 2029)
  • Deepening my expertise in single-cell and spatial technologies at Indiana University's prestigious Luddy School, where I'm a Ph.D. student in Bioinformatics.
  • Mastering 10x Visium and single-cell platforms to dissect the TME's complexity, fueling my passion for personalized medicine advancements.
- **Ghulam Ishaq Khan Institute of Engineering Sciences and Technology** — Master of Science - MS (Aug 2019 - Jul 2021)
  My MS in Computer Science from Ghulam Ishaq Khan Institute (GIKI) in 2021 solidified my expertise in advanced deep learning techniques. Thesis research on EEG-based emotion recognition using Capsule Networks not only yielded state-of-the-art results but also honed my skills in data analysis, model development, and scientific communication.
  Activities & Societies: Research and Teaching Assistant, Table Tennis
- **University of Haripur** — Bachelor of Science - BS (Jun 2014 - Sep 2018)
  My BS Computer Science degree from the University of Haripur (UoH) in 2018 was a springboard for both academic and competitive success. Not only did I excel in my coursework, but I also emerged as a champion in multiple programming competitions, showcasing my talent and tenacity in tackling complex problems. My culminating project, an innovative AR system for real-time location tracking and visualization, demonstrated my ability to translate theoretical knowledge into practical solutions, paving the way for my continued passion for building immersive experiences.
  Activities & Societies: Horizon, Table Tennis, Competitive Programming

## Awards

- Introduction to Quantum Computing Scholarship (May 2021)
  This course took place from October 2022 to May 2021. Students developed a foundational understanding of quantum computing, with topics including introductory linear algebra, coding with Qiskit, quantum mechanics, quantum algorithms, and quantum applications.
- Dean’s Honor List (Mar 2021)
  Highest Distinction Award at GIKI, for four consecutive semesters
- NRPU Scholarship (Aug 2020)
  Fully funded graduate scholarship at GIKI
- PyTorch Scholarship (Feb 2019)
  Ranked in the top 3% among 10,000 participants, leading to the Deep Learning Nanodegree.

## Languages

- Urdu (native)
- English (full professional)

## Links

- linkedin: https://www.linkedin.com/in/aadimator