Dr. Anup Debnath | Experimental Physics | Editorial Board Member

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Dr. Anup Debnath | Experimental Physics | Editorial Board Member

Pachhunga University College | India

Dr. Anup Debnath is a materials physicist specializing in two-dimensional materials, magnetic nanostructures, transition-metal dichalcogenides, and MXene-based functional systems. His research focuses on understanding growth mechanisms, interfacial charge-transfer phenomena, and structure–property–performance relationships in emerging 2D architectures for electronic, magnetic, and energy-storage applications. He has developed strong expertise in advanced synthesis routes including hydrothermal, solvothermal, reflux, thermolysis, and chemical vapour deposition techniques for preparing high-quality TMDs, non-van der Waals magnets, and MXene derivatives. His experimental strengths extend across a broad spectrum of characterization tools such as XRD, Raman spectroscopy, XPS, TEM, AFM, SQUID magnetometry, PPMS measurements, UV-Vis spectroscopy, and FTIR, complemented by theoretical skills in Rietveld refinement and DFT-based calculations using MAUD and CASTEP. Dr. Debnath’s research contributions include revealing ferromagnetic and ferrimagnetic ordering in chemically synthesized 2D systems, designing MXene-integrated heterostructures, developing high-performance electrocatalysts, and engineering nanomaterials for hydrogen evolution, photothermal conversion, and supercapacitor applications. His publications in leading journals cover diverse topics ranging from magnetic coupling in low-dimensional systems to coercivity enhancement, phase engineering of TMDs, photothermal nanorods, hybrid perovskites, and advanced MXene composites. He has also contributed to conference proceedings and presented widely at national and international scientific platforms, earning recognition for excellence in both poster and oral presentations. His scholarly footprint continues to grow, currently reflected by 228 citations across 205 documents, 19 publications, and an h-index of 7, underscoring his expanding impact in the fields of experimental condensed matter physics and nanomaterials research.

Featured Publications

(2025). Vertically tilted SnS₂ grown on highly conductive Ti₃C₂Tₓ for electrochemical energy storage applications. Journal of Energy Storage.

 

Emanuele Buchicchio | Instrumentation | Best Researcher Award

Published on by Young Scientists Awards

Mr. Emanuele Buchicchio | Instrumentation | Best Researcher Award

👨‍🏫Emanuele Buchicchio – Short Biography Emanuele Buchicchio, an Italian software engineer and dedicated Ph.D. student, resides in Todi, Italy. With a profound passion for science and technology, Emanuele has amassed extensive experience in diverse software projects and products. His expertise spans web application design, .Net, C#, Java, machine learning, cybersecurity, and more. Holding positions of Chief Technology Officer and Chief Information Security Officer at Smartpeg, he spearheads AI-powered solutions for human resource management. Emanuele is currently pursuing a Ph.D. at the University of Perugia, focusing on artificial intelligence, machine learning, and measurement tools. His multifaceted skills encompass industrial IoT, embedded systems, and cloud computing.. 📚

🌐 Professional Profiles:

📚 Education

Ph.D. Winter/Summer Schools (2020-2022) Machine Learning Engineer with Microsoft Azure Nanodegree (Oct. 2020 – Jan. 2021) Master of Business Administration (MBA, 2011) MEng Computer Engineering (2006) BS Information Technology Engineering (2004)

 

🌟 key Skills

Web application design and development .Net, .Net Core, C#, Java, JavaEE, Typescript, Angular, Python Industrial IoT, Embedded Systems, Measurements, and data acquisition Machine learning, deep learning, cybersecurity ISO 27001, Cloud (Microsoft Azure, Google Cloud), Agile software development GDPR compliance

 

👩‍💼 Work Experience

Ph.D. Student (Since Nov. 2020): University of Perugia – Instrumentation & Measurement Chief Technology Officer (Since July 2016): Smartpeg srl, Perugia Senior Software Developer (June 2014 – July 2016): Pegaso200 srl, Corciano Consultant / Software Developer (Feb. 2011 – Jun. 2014): Gianos Consulting S.r.l., Orvieto Product Manager (Oct. 2008 – Jan. 2011): Eles Semiconductor Equipment, Todi Software Engineer (Jan. 2007 – Oct. 2008): Eles Semiconductor Equipment, Todi

Research Focus:

Emanuele Buchicchio’s research revolves around innovative applications in instrumentation, measurement, and artificial intelligence, contributing significantly to battery technology and beyond. His work spans diverse areas such as: Battery Systems: Specializing in Electrochemical Impedance Spectroscopy (EIS), Emanuele explores uncertainty characterization and state-of-charge estimation. His contributions to battery SOC estimation using machine learning and equivalent circuit models are noteworthy. Gesture Recognition: Emanuele delves into novel realms with a magnetic positioning system, employing Convolutional Neural Networks (CNNs) for accurate gesture recognition in sign language, showcasing the

Top Noted Publications 📚:

Uncertainty Characterization of a Practical System for Broadband Measurement of Battery EIS,” in IEEE Transactions on Instrumentation and Measurement., Paper Published in 2022

 

Gesture recognition of sign language alphabet with a convolutional neural network using a magnetic positioning system, Paper Published in 2021

 

EasyEIS: A software tool to perform electrochemical impedance spectroscopy using a source measure unit, Paper Published in 2022

Battery SOC estimation from EIS data based on machine learning and equivalent circuit model. Paper Published in 2023