Yusuf Ahmed Khan

AI Researcher

State College, Pennsylvania, United States1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

PhD student focusing on Neuromorphic Computing and AI.
Published multiple conference papers on advanced research topics.
Strong academic foundation with a B.Tech in Electronics Engineering.

Stackforce AI infers this person is a candidate with a strong focus on AI and Neuromorphic Computing in research and development.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

Large Language Models (LLM)Neuromorphic EngineeringFeature ExtractionImage AnalysisSignal ProcessingPython (Programming Language)Medical ImagingMATLABPresentationsProgrammingComputer SimulationsC (Programming Language)ResearchDeep LearningDeep Neural Networks (DNN)

About

Passionate about enhancing the computational efficiency and performance of Artificial Intelligence (AI) models by drawing inspiration from the brain through Neuromorphic Computing. I am currently a Ph.D. student at the Neuromorphic Computing Lab at Penn State, focusing on AI and Neuromorphic Computing. I have a strong academic foundation from my B-Tech in Electronics Engineering degree at Aligarh Muslim University, where I excelled academically and gained practical experience in subjects like Digital Signal Processing, Probability, AI, and Communication. Get in touch: yusuf@psu.edu

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Penn state university

Research Assistant (PhD Student)

Aug 2024 – Present · 1 yr 9 mos · State College, Pennsylvania, United States

Working as a Graduate Research Assistant (GRA) at the Neuromorphic Computing Lab.
Job Duties:
● Conduct research on optimizing artificial intelligence (AI) models to enhance computational efficiency, focusing on developing scalable algorithms for real-time applications.
● Design and implement advanced machine learning techniques to address challenges in resource-constrained environments, enabling on-device learning and improved accessibility.

Artificial Intelligence (AI)Machine Learning

Athabasca university

Visiting Summer Research Intern (Mitacs GRI Program)

Jun 2023 – Aug 2023 · 2 mos · Edmonton, Alberta, Canada · On-site

● Conducted extensive literature review on the influence of the Fourth Industrial Revolution (4IR) on higher education, exploring its implications and challenges.
● Analyzed and documented the current landscape of 4IR technologies, such as AI and blockchain, to understand their specific impacts on the higher education sector.

Isro - indian space research organization

Research Intern

May 2022 – Dec 2022 · 7 mos

● Worked on identifying brick kilns using multi-spectral bands of sentinel-2 imagery, in this project Several ML classifiers have been trained on the sentinel-2 dataset.
● Weekly meetings with the supervisor, submission of report towards the end, and a presentation.
● Published an International conference paper titled "Detection of Brick Kilns Using Multi-Spectral Bands of Sentinel-2 Imagery". (AISC-23).

Centre of advanced research in electrified transportation (caret)

Research Intern

Jan 2022 – Aug 2022 · 7 mos · Aligarh, Uttar Pradesh, India

● Worked with National Instruments (NI) hardware and LabVIEW software, successfully collected data using NI DAQ cards.
● Research on Foreign Object Detection (FOD) in wireless Electric Vehicle (EV) charging, using Machine Learning for FOD.
● Weekly presentations, report writing, and experimental work.
● Successfully managed to publish an international conference paper entitled ”Image-based Foreign Object Detection using YOLO v7 Algorithm for Electric Vehicle Wireless Charging Applications”. (Accepted and Presented at ICPCES23).