Aquil Ahmad ( 阿奎爾), PhD's Linkedin Analytics

I have a Ph.D. in physics from the prestigious Indian Institute of Technology Kharagpur (IIT-Kharagpur) and a track record of delivering successful outcomes. With over 9 years of experience in experimental and computational research, my expertise spans diverse areas such as quantum technology, nanophotonics, spintronics, semiconductor physics, thermoelectricity, data science, manuscript writing, data interpretation, storytelling with data, machine learning, project management, and teaching. I possess the necessary skills to drive organizational growth through scientific projects and cross-functional collaborations. My dedication lies in further advancing my accomplishments in these domains. 🔹I possess experience in managing a multitude of cross-functional research projects with a focus on experimentation and computation. Additionally, I have demonstrated leadership qualities in overseeing teams comprising over 20 researchers. 🔹As the chair of the organizing committee, I have acquired invaluable expertise in coordinating and managing both local and global conferences. In addition, my extensive involvement as a reviewer for diverse journals and as a guest editor for esteemed publications has further broadened my knowledge. Moreover, I have been an active participant in numerous scientific gatherings, serving as a well-regarded chair and evaluator. 🔹 Throughout my academic journey, I've authored 16+ impactful research papers, presented at international conferences as an invited speaker, and shared my work through compelling oral and poster presentations. I have been fortunate to receive 7+ awards, a testament to the quality and impact of my contribution to the scientific community. Certifications: -Google-Data analytics, Machine learning, Python for data science. Skills: Experimental skills: Process & deposition: Etching, Lithography. CVD, ALD, e-beam systems, Sputtering, Spin coating, and Thermal Evaporation. Characterization techniques: XRD, PPMS, Hall measurements, VSM, SQUID, SEM/TEM, STEM, AFM, FTIR. Computational research skills: First-principles-based DFT computations [Used codes: Wien2k, VASP, QuantumATK(atomistic simulation), Espresso, Boltztrap, and Phonopy. Programming Languages expertise: Python, Fortran, SQL, MATLAB. Data Analysis/visualization: R Studio, Tableau, OriginLab, and Excell. Big Data: Hadoop, Spark, Hive. Python libraries: NumPy, Pandas, Matplotlib, and PyTorch. Other Capabilities: -Project management, leadership, interpersonal skills, documentation, teaching, and mentoring. Reach out to me: [email protected]