Junaid Iqbal Khan antibloch

Intro

ML engineer and researcher with expertise in computer vision, and ML privacy, backed by IEEE/Elsevier/Springer publications and extensive open-source projects. Specializes in vision systems development from 2D detection/tracking to 3D reconstruction. Driven to transform top-tier research into robust, production-ready solutions with real-world impact.

⚠️🚨 My Github Repositories 🚨⚠️

Category	Platforms	Repositories
ML Privacy and Security		* MIA Attacks Implementation * ambitious explorations over privacy attacks * expolorations over privacy attacks * poisoned output detection * attack on a encrypted model in real space * entropy motivated defenses of Membership Inference Attack * information leakage and inference from cache traces * machine unlearning * fault in honey encryption * simple adversarial attack * simple poisoning attack * literature review progress on secure inference * collection of repo links related to ML-privacy
Radar and ECG Signal processing		* radar vital signs project * p5 based simulations of radar * comparison of measurement performance between ECG and several Radar based algorithms * ECG based HR detection methods * ECG based BR detection methods * ECG measurement system * comparison of performance of ECG HR methods * comparison of performance of ECG BR methods * Matlab integration with Sense2Gol radar
Computer Vision		* NeRF variants and Deblurring Models+NeRF on Synthetic-Blurred Datasets * NeRF variants and Deblurring Models+NeRF on Real-Blurred Datasets * BAD-Gaussian and Deblurring Models+GS on Blurred Datasets * Unsupervised SAM based 3D point cloud segmentation * Improved Gaussian Splatting Rendering * Improved SuGaR Rendering (Gaussian Splatting) * Image Restoration (Denoise & Deblur) (NAFNet) * Image Restoration (Super Resolution) (SPSR) * Image Restoration (Deblurring) (HI-Diff) * Image Restoration (Deblurring) (Diff-PIR) * Image Restoration (SuperResolution) (Real-ESRGAN) * Gaussian Talker Ablation Experiments * Image Restoration (SuperResolution) (SRCNN and Nina-SR) * Virtual Try-on from Shopping Sites * 3D Line Detection in LiDAR Point Cloud * S3DIS PointCloud Segmentation * 3D Plane Detection in LiDAR Point Cloud * Image Restoration (Deblur and Super Resolution) (SUPIR) * Fisheye to Equirectangular * YOLOv11 and Segformer based shirt color detection * YOLO Detection and Tracking * Gaussian Splatting * COLMAP Installation * SIREN Experiments * NVIDIA PeopleNet Detection and Tracking * simplied NeRF architecture comparison * different Kinds of Image Histogram * MRI brain tumor classification and segmentation * experiementation of image processing on MRI slices over U-Net performance * brain MRI images condensation * graph based MRI scan segmentation * Xception interpretability * opencv based violonist assistant * detectron2 based object detection * my image processing course work * edge smoothing * spectrogram based urban sound classification * Autoencoder denoising
Natural Language Processing		* ML Literature Research Agent * text-signal driven classification * text summarization * textual toxicity ranking * sentiment classification via BERT * plagarism remover * BERT based grammatical correction classification * sentence Modelling using Matrix Factorization and RNN * finding candidate journal from large bibtex file
Chemical Sequence Analysis		* protein-protein interaction Classification * SMILE string classification
Brain Connectivity Analysis		* SSA implementations * EEG visualization * GAN based Structural Connecitivty data variations
Accelerometer and ML		* sparsity based accelerometer spectrogram classification * simple compressed sensing * spectrogram based human activity recognition * gym Trainee accelerometer dataset under different workouts * measuring training capacity of gym trainees using AlexNet and spectrograms * estimating moods of gym trainees and counting reps using accelerometer spectrograms
COVID-19 and ML		* compartment model identification using SINDy * Attention based SIQRD parameter estimation and Data driven policy determination for control of infection spread * Image processing, Mathematical modelling and NLP based gathering insights from COVID-19 literature * collect daily COVID-19 statistics in Korea using API * COVID-19 symptom severity classification * Simulations of hypothetical SEQIHRD model * Simulations of hypothetical SVEQIHRD model
Interferometry and ML		* self-mixing interferometry displacement parameter estimation * deep learning estimation of amplitude and frequency of target from self-interferometric signal
Miscallaneous ML		* music genre classification using CNN-LSTM * comparison of simple and Q-learning based link prediction in graphs * actor-critic based stocks trader * Probabalistic neural network using KNIME * sales forecasting using deepXF * forecasting via extreme learning * breast cancer classification using random forecast * MATLAB breast cancer classification * drug prescriber deployment on Azure * Autoencoder LSTM based power consumption forecasting * LSTM based bitcoin price forecasting
App and Web Developement		* contact tracing flutter app-version 1 * contact tracing flutter app-version 2 * contact tracing flutter app-version final * Node.js web app * basic HTML-CSS page workout * Android Kotlin project for visualization COVID-19 statistics via API * Android Java project to access and display sensor values * Nodejs based twitter follower hiearchy * flutter based directed graph construction of a person contact with different places * time-otp based flutter project * streamlit based login/signup page * nodejs based anonymization of csv containing GPS data * flutter project to store texts in local storage while in background on Android * nodejs api for converting coordinates to distance * nodejs and mongdb based login/signup api that can send emails to db contacts * flutter app that collects gps data and stores it in HiveDB, and it can upload the db data as csv file to a rest api * android project for login/signup page * flutter project that can perform all login/signup tasks and also has qr scan functionality * nodejs based csv manipulation * reference html frontends * flutter project that can generate and store data in csv, in background, and can also produce notifications * flutter app that stores data in hive db * flutter project for storing data in hivedb in anonymized manner(encrypted) * flutter becaon transmitter and reciever * flutter transmit beacon in background * flutter based rolling BT beacon ID transmission * flutter project for working with CSV * flutter project that transmits and recieves BT UUID and stores them in CSV