Muhammad Arsalan Email & Phone Number

Bavaria, Germany

Berlin, Germany

Brunswick, Lower Saxony, Germany

Neubiberg, Germany

EU Funded Project ANDANTE - Lead of Work Package 5 (WP5) - Led the WP5 which aim to confirm the applicability of the developed technologies for application domains with 13 different use cases. - Lead of Task 5.1 Digital Industry - Led the task 5.1 which aim to evaluate and demonstrate in context of the use case “Indoor Positioning Recognition and People Counting” what neuromorphic hardware can add to such kind of industrial systems and applications. - PhD Studies Topic: Deep learning using neuromorphic computing for edge devices - Simulating radar signal processing chain on spiking neural networks - Development of efficient encoding and decoding schemes - Development of learning mechanism - Development of real time demonstrators - Published 4 journals (3 published, 1 under publication), 10 conference papers (9 published, 1 under review) and a book chapter

,Neubiberg, Germany

Topic: Robust and accurate heart rate detection using mm-wave radar - Development of signal processing techniques to determine the heart rate and breath rate - Denoising the heart signal for cancellation of random body movements using deep learning - Published 2 patents and a journal paper and a book chapter based on this workTools: Python, Keras, TensorFlow, Matlab

Neubiberg, Bavaria, Germany

Topic: Air-writing using network of mm-wave radars - Development of a technique for accurately localizing the hand marker using fine range estimate and trilateration - Development of a recognition system to classify the alphabets drawn by users in air using deep learning - Published a patent, a journal paper and a book chapter based on this workTopic: High accuracy distance measurement using FMCW radar - Development of an algorithm for accurate distance measurement up to millimetre sublevel

Munich Area, Germany

Development of image registrations algorithms Development of focus stacking techniques for extending depth of field Development of depth from focus techniques for generating depth maps for 3D images

Louvain-La-Neuve Belgium

Development of efficient procedures and models for acquiring of data from Hyperspectral Sensors (HS)Development of techniques for representing and processing the HS data

Stuttgart, Baden-Württemberg, Germany

Developed a novel method of depth and good quality image from a single channel/single shot/single lens using a novel engineered point spread function.

Stuttgart, Baden-Württemberg, Germany

Worked on Compressive Sensing. Developed sufficiently detailed understanding of the compressive sensing theory. Moreover, tested and implemented different compressive methods and reconstruction algorithms from literature to better understand the problems in compressive sensing sampling and recovery.

Islamabad, Paksitan

Development of web and mobile applications

Master'S Degree, Biomedical Computing

Master'S Degree, Computational Engineering

Bachelor'S Degree, Computer And Information Sciences