Nahid Chaudhary | Experimental methods | Best Researcher Award

Mrs. Nahid Chaudhary | Experimental methods | Best Researcher Award

Indian Institute of Technology Delhi | India

Dr. Nahid Chaudhary is a highly accomplished researcher and engineer specializing in nanoelectronics and semiconductor manufacturing. With a profound focus on the growth of 2D materials and van der Waals heterostructures, he has demonstrated exceptional skills in semiconductor device fabrication and advanced characterization techniques. He is dedicated to advancing the field of nanoelectronics, with a particular emphasis on sensors, optoelectronic devices, and semiconductor industries. Dr. Chaudhary is known for his interdisciplinary collaboration and innovative contributions to device performance and reliability.

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Early Academic Pursuits 🎓

Dr. Chaudhary’s academic journey began with a B.Tech in Electronics and Communication Engineering from Uttar Pradesh Technical University (UPTU), where he graduated with a strong 80.04%. He further advanced his knowledge with an M.Tech in Nanoscience and Nanotechnology from Guru Gobind Singh Indraprastha University (GGSIU) with an impressive 80% score. His Ph.D. in Nanotechnology at Jamia Millia Islamia, New Delhi, focused on the synthesis and applications of 2D MoS2 nanosheets for optical sensing, supported by the Inspire Fellowship from the Department of Science and Technology (DST).

Professional Endeavors 💼

Dr. Chaudhary’s current role as a Postdoctoral Fellow at the Indian Institute of Technology (IIT), Delhi, sees him leading cutting-edge research in Molecular Beam Epitaxy (MBE) and Chemical Vapor Deposition (CVD) growth of 2D materials and van der Waals heterostructures. His professional work has directly impacted the advancement of semiconductor devices through innovative material development for sensors and optoelectronic devices. His contributions have spanned both academia and industry, where his work on next-generation sensors and semiconductor applications is highly regarded.

Contributions and Research Focus 🔬

Dr. Chaudhary’s research focuses on the development and growth of 2D materials, particularly in the fields of sensors, photodetectors, and supercapacitors. His work on van der Waals heterostructures has proven vital in enhancing device performance and reliability. Through his Molecular Beam Epitaxy (MBE) and Chemical Vapor Deposition (CVD) techniques, he has developed materials with promising applications in semiconductor devices. His key research has involved the optical sensing capabilities of MoS2 nanosheets, which have applications in biosensors and photocatalysis.

Impact and Influence 🌍

Dr. Chaudhary’s impact in the field of nanoelectronics is evident through his innovative research and its direct application to cutting-edge technologies. His work on photodetectors and supercapacitors is transformative, addressing crucial issues in the semiconductor industry. His research into 2D materials such as MoS2 and MoTe2 has laid the groundwork for next-generation sensors and optoelectronic devices. Dr. Chaudhary is recognized for his collaborative efforts and interdisciplinary approach, contributing to the global scientific community.

Research Skills 🛠️

Dr. Chaudhary possesses extensive expertise in Molecular Beam Epitaxy (MBE) and Chemical Vapor Deposition (CVD), crucial for the synthesis of 2D materials. He is proficient in advanced characterization techniques including X-ray Diffraction (XRD), Atomic Force Microscopy (AFM), and UV-Vis Spectrophotometry. His skills extend to nanofabrication through maskless lithography, wet chemical etching, and photolithography, positioning him as a key innovator in semiconductor device fabrication. Additionally, his proficiency in cleanroom protocols and material processing ensures the development of high-performance devices.

Teaching Experience 🍎

Dr. Chaudhary is deeply committed to mentoring and teaching the next generation of engineers and researchers. He actively participates in training and mentorship programs in nanoelectronics and semiconductor technology, guiding students and young researchers on cutting-edge research techniques. His contributions extend to teaching at IIT Delhi, where he engages in interdisciplinary teaching and research-based courses, offering students hands-on experience in advanced material synthesis and device fabrication.

Awards and Honors 🏆

Dr. Chaudhary’s exceptional contributions have earned him several prestigious awards:

  • Inspire Fellowship from the Department of Science and Technology (DST) for his Ph.D. research.
  • Best Poster Award at ETAMS 2020 for his work on MoS2 Nanosheets for photodetector applications.
  • Best Poster Award at Nano Road Show 2020 for his groundbreaking research on MoS2-PANI Hybrid Structures for high photoresponsive properties.

His awards demonstrate his leading position in nanotechnology research.

Legacy and Future Contributions 🌱

Dr. Chaudhary is poised to leave a lasting legacy in the field of nanoelectronics. His research on 2D materials is setting the foundation for the future of semiconductor devices, particularly in photodetectors, supercapacitors, and biosensors. Looking ahead, Dr. Chaudhary aims to continue pushing the boundaries of material science and device performance. He envisions a future where his innovations can transform industries such as IoT and optical sensing, thereby shaping the next wave of technological advances in nanotechnology. His ongoing contributions will undoubtedly continue to influence and inspire researchers in the field for years to come.

Publication Top Notes

Utilizing the Ability of Few-Layer MoS2 Integrated with MOCVD-Grown ZnGa2O4 for Thermally Stable Deep Ultraviolet Detection Performance

  • Authors: T Khan, N Chaudhary, RH Horng, R Singh
    Journal: ACS Applied Electronic Materials, 6 (10), 7600-7610
    Year: 2024

High-Performance Visible-to-SWIR Photodetector Based on the Layered WS2 Heterojunction with Light-Trapping Pyramidal Black Germanium

  • Authors: K Bhattacharya, N Chaudhary, P Bisht, B Satpati, S Manna, R Singh, …
    Journal: ACS Applied Materials & Interfaces, 16 (36), 48517-48525
    Year: 2024

Quasi-dry layer transfer of few-layer MBE-grown MoTe2 sheets for optoelectronic applications

  • Authors: N Chaudhary, T Khan, K Bhatt, R Singh
    Journal: Sensors and Actuators A: Physical, 115727
    Year: 2024

Gamma-induced stress, strain and p-type doping in MBE-grown thin film MoTe2

  • Authors: N Chaudhary, K Bhatt, T Khan, R Singh
    Journal: Physical Chemistry Chemical Physics, 26 (34), 22529-22538
    Year: 2024

Comparative study of photocatalytic activity of hydrothermally synthesized ultra-thin MoS2 nanosheets with bulk MoS2

  • Authors: N Chaudhary, K Raj, A Harikumar, H Mittal, M Khanuja
    Journal: AIP Conference Proceedings, 2276 (1)
    Year: 2020

 

Syed Hamza Safeer Gardezi | Experimental methods | Best Researcher Award

Dr. Syed Hamza Safeer Gardezi | Experimental methods | Best Researcher Award

Quaid i Azam Universty, Islamabad | Pakistan

Dr. Syed Hamza Safeer Gardezi is an accomplished academic with a rich background in Physics. His academic journey began with a Bachelor’s degree in Science from the University of Punjab, Lahore, Pakistan. He then pursued M.Sc. and M.Phil. degrees in Physics from Quaid-i-Azam University, Islamabad, Pakistan, followed by a Ph.D. from the Pontifical Catholic University of Rio de Janeiro, Brazil. Dr. Gardezi’s research focused on Atomically Thin Semiconducting Transition-Metal Dichalcogenides and their electro-optical properties. With a Post-Doctoral fellowship at the Brazilian Center for Research in Physics (CBPF), Dr. Gardezi now serves as an Assistant Professor at Quaid-i-Azam University, Islamabad.

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🎓 Early Academic Pursuits

Dr. Gardezi’s academic journey began with a solid foundation in Physics. His undergraduate studies in Mathematics and Physics at the University of the Punjab set the stage for advanced degrees. He continued his pursuit of knowledge through M.Sc. and M.Phil. degrees at Quaid-i-Azam University, where his thesis research focused on Superconductor materials. His fascination with nanomaterials, especially Transition Metal Dichalcogenides (TMDs), led him to Brazil, where he completed his Ph.D. research on MoS2, WS2, and related materials.

💼 Professional Endeavors

Dr. Gardezi’s professional career began as a Lecturer at the Global System of Integrated Studies in Islamabad, Pakistan. He later joined Quaid-i-Azam University as an Assistant Professor, where he has contributed significantly to the Department of Physics. His professional pursuits extend internationally, particularly during his Post-Doctoral research at CBPF in Brazil, focusing on the Spin Hall Effect and Valley Hall Effect in heterostructures like YIG/MoS2.

🔬 Contributions and Research Focus

Dr. Gardezi’s primary research interests are in the synthesis and characterization of two-dimensional materials like TMDs, Graphene, and their heterostructures. He is particularly interested in chemical vapor deposition (CVD) techniques to synthesize these materials and study their optical and magnetic properties. Additionally, his work on high-temperature superconductors and solar cells highlights his commitment to exploring green technologies for sustainable energy. His focus also includes the study of defects and Raman scattering mechanisms in nanomaterials.

🌍 Impact and Influence

Dr. Gardezi has significantly influenced nanotechnology https://hep-conferences.sciencefather.com/awards-winners/and material science research, particularly in semiconducting materials and superconductors. His work on TMDs has contributed to the broader understanding of two-dimensional materials and their potential applications in electronics, photonics, and energy solutions. His research papers have been published in leading journals and widely cited by fellow scientists, helping drive forward the development of next-generation materials and technologies.

🧪 Research Skills

Dr. Gardezi is well-versed in experimental techniques and synthesis methods, including:

  • Chemical Vapor Deposition (CVD) for 2D-materials.
  • Raman and Photoluminescence (PL) Spectroscopy.
  • X-ray Diffraction (XRD) analysis.
  • Magnetic Susceptibility and Four Probe Resistivity Measurements.
  • Electron Beam Lithography and Photolithography for device fabrication.

These skills position him as a leading researcher in nanomaterials and advanced materials science.

👨‍🏫 Teaching Experience

As an Assistant Professor at Quaid-i-Azam University, Dr. Gardezi has taught various undergraduate and graduate-level courses in Physics. Some of the courses he has taught include:

  • Introductory Mechanics (Undergraduate).
  • Experimental Physics Methods and Statistical Physics (M.Phil./Ph.D. level).
  • Electromagnetism and Atomic and Molecular Physics.

In addition to his academic work, he has also contributed to laboratory sessions as a Teaching Intern at PUC-Rio in Brazil.

🏅 Awards and Honors

Dr. Gardezi has received multiple scholarships and recognitions throughout his career, including the CNPq Scholarship for his Postdoctoral Research. His contributions to material science and nanotechnology have been acknowledged at various international conferences and by leading scientific organizations, showcasing his growing impact on the global scientific community.

🕰️ Legacy and Future Contributions

Looking forward, Dr. Gardezi aims to continue pushing the boundaries of material synthesis and characterization. His ongoing research into TMDs and superconductors is set to lead to innovations in quantum computing, energy storage, and photonics. His work not only paves the way for future breakthroughs in sustainable energy solutions but also holds potential for the next generation of electronic devices. His legacy will likely be shaped by his contributions to green technologies and nanoscience.

Publications Top Notes

Enhancing Superconductivity in Cu1/2Tl1/2Ba2Ca2Cu3O10−δ with Graphene Incorporation: A Comprehensive Study

  • Authors: Syed Hamza Safeer, Nizar Saeed, Abida Saleem, Kashif Naseem, Nawazish A. Khan
    Journal: Langmuir
    Year: 2025

Assessment of the importance and catalytic role of chromium oxide and chromium carbide for hydrogen generation via hydrolysis of magnesium

  • Authors: Fei Qin, Yue Zhang, Kashif Naseem, Zhanjun Chen, Suo Guoquan, Waseem Hayat, Syed Hamza Safeer Gardezi
    Journal: Nanoscale
    Year: 2024

Photoluminescent and Magnetic Properties of Mononuclear Lanthanide-Based Compounds Containing the Zwitterionic Form of 4-Picolinic Acid as a Ligand

  • Authors: Esther Areas, Bruno Rodrigues, Ana Carolina do Nascimento, Henrique C. S. Junior, Glaucio Braga Ferreira, Fabio Miranda, Flavio Garcia, Syed Hamza Safeer, Stéphane Soriano, Guilherme Guedes
    Journal: Journal of the Brazilian Chemical Society
    Year: 2024

Exploring the magnetic behavior of potassium-doped Cu0.5Tl0.5Ba2Ca2Cu3-xKxO10-δ (x=0, 1, 2.5, 3) superconductors

  • Authors: Syed Hamza Safeer, Sadia Arooj, Anila Kanwal, Zil e Huma, Flavio Garcia
    Journal: Physica B: Condensed Matter
    Year: 2024

Automated mechanical exfoliation technique: a spin pumping study in YIG/TMD heterostructures

  • Authors: Rodrigo Torrão Victor, John Fredy Ricardo Marroquin, Syed Hamza Safeer, Danian Alexandre Dugato, Braulio Soares Archanjo, Luiz Carlos Sampaio, Flavio Garcia, Jorlandio Francisco Felix
    Journal: Nanoscale Horizons
    Year: 2023

 

 

 

Jie Tian | Experimental methods | Best Researcher Award

Prof. Jie Tian | Experimental methods | Best Researcher Award

Dr. Jie Tian is a distinguished Professor at the Institute of Acoustics, Chinese Academy of Science, Beijing, China. He holds a Ph.D. in Automatic Control from Beijing Institute of Technology (2002) and a Bachelor’s degree in Automatic Control from Northwestern Polytechnic University (1995). His primary research focus lies in the fields of underwater information and signal processing and classification & image processing.

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🎓 Early Academic Pursuits

Dr. Tian’s academic journey began at Northwestern Polytechnic University, where he earned his Bachelor’s degree in Automatic Control in 1995. Building on this foundation, he pursued his Ph.D. at Beijing Institute of Technology, specializing in Automatic Control. His studies laid the groundwork for his deep engagement with signal processing and image processing algorithms, disciplines that continue to define his career today.

💼 Professional Endeavors

Dr. Tian’s professional career spans over two decades, marked by significant contributions to both academia and research. He is currently a Professor at the Institute of Acoustics, Chinese Academy of Science, where he has worked since 2002. His career trajectory includes a Postdoctoral fellowship and Associate Professorship at the same institution, where he developed theoretical algorithms for image processing and worked extensively on information processing systems. His transition from postdoc to professor reflects his growing influence in his field, particularly in the domain of underwater acoustic communication networks and image classification.

🔬 Contributions and Research Focus

Dr. Tian’s research contributions are far-reaching and impactful. His expertise includes underwater information processing, with a particular focus on underwater object classification, and sonar image processing. Notable areas of his work include:

  • Cross-layer routing protocols for underwater acoustic communication networks.
  • Deformable residual networks and transfer learning for underwater object classification in SAS images.
  • Deep neural networks for classification in high-resolution sonar images.

His focus on advanced algorithms such as deep neural networks and SVM-based techniques has helped push forward the frontiers of image classification and signal processing in challenging underwater environments.

🧑‍🏫 Teaching Experience

Dr. Tian is not only a researcher but also a dedicated educator. As a Professor, he has mentored countless students and guided the next generation of researchers in the Institute of Acoustics. His expertise in image processing and signal processing provides students with valuable insights into cutting-edge technologies, preparing them for careers in academic research and industry applications.

🔮 Legacy and Future Contributions

Dr. Tian’s work has already left a lasting impact on underwater imaging and signal processing. Looking ahead, his future contributions are likely to expand into AI-driven underwater communication systems and real-time processing algorithms, further advancing the practical applications of his research. His continued focus on image processing algorithms and deep learning will undoubtedly lead to more innovative breakthroughs that enhance the capabilities of underwater technologies, benefiting both scientific exploration and practical communication systems.

Publications Top Notes

  • Cross-Layer Routing Protocol Based on Channel Quality for Underwater Acoustic Communication Networks
    Authors: He, J., Tian, J., Pu, Z., Wang, W., Huang, H.
    Journal: Applied Sciences (Switzerland)
    Year: 2024
  • Underwater Object Classification in SAS Images Based on a Deformable Residual Network and Transfer Learning
    Authors: Gong, W., Tian, J., Liu, J., Li, B.
    Journal: Applied Sciences (Switzerland)
    Year: 2023
  • Underwater Object Classification Method Based on Depthwise Separable Convolution Feature Fusion in Sonar Images
    Authors: Gong, W., Tian, J., Liu, J.
    Journal: Applied Sciences (Switzerland)
    Year: 2022
  • Underwater objects classification method in high-resolution sonar images using deep neural network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Shengxue Xuebao/Acta Acustica
    Year: 2019
  • Small Underwater Objects Classification in Multi-View Sonar Images Using the Deep Neural Network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
    Year: 2020

 

 

Ferdinando di martino | Computational Methods | Computational Science Excellence Award

Prof. Ferdinando di martino | Computational Methods | Computational Science Excellence Award

Associate professor at Federico II University of Naples, Italy

Ferdinando Di Martino is an associate professor of computer science at Federico II University of Naples, specializing in fuzzy-based models and computational intelligence for data and image analysis. He has authored over one hundred research papers published in international journals and holds editorial roles in leading academic publications. Di Martino is a member of EUSFLAT and actively contributes to its Research Working Group on soft computing in image processing. He directs a specialization course on advanced spatial analysis in GIS for urban and complex systems and manages research projects funded by Italian and European bodies, focusing on AI applications in managing environmental and climate risks.

Professional Profiles

Associate Professor of Computer Science

Ferdinando Di Martino serves as an associate professor of computer science at the Department of Architecture of the Federico II University of Naples.

Academic Leadership

Di Martino contributes significantly to academic programs and research initiatives: Member of the Italian national doctoral college in Artificial Intelligence within the agricultural-environmental sector. Director of the specialization course on advanced spatial analysis technologies in Geographical Information Systems (GIS) for urban systems and complex systems management.

Project Management

He leads research groups and tasks in both Italian and European funded projects. His projects focus on applying artificial intelligence and computational intelligence techniques to manage urban and complex systems, particularly in addressing environmental and climate-related risks.

Research Focuse

Ferdinando Di Martino’s research focuses on the application of fuzzy transforms and computational intelligence in image and data analysis. He has contributed extensively to methods for image coding and decoding using fuzzy transforms, as well as compression techniques and fragile watermarking for tamper detection. His work spans diverse applications including climate vulnerability assessment models for urban systems, segmentation methods, and predictive data analysis. Di Martino’s expertise also extends to spatial GIS applications, particularly in developing tools for vulnerability modeling and analysis in complex systems like aquifers. His research is pivotal in advancing the intersection of fuzzy logic, computational intelligence, and practical applications in various domains.

Publications

  1. A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means, Publication date: 2022.
  2. Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering, Publication date: 2021.
  3. Graphical views of intuitionistic fuzzy double-controlled metric-like spaces and certain fixed-point results with application, Publication date: 2022.
  4. D-nisq: a reference model for distributed noisy intermediate-scale quantum computersPublication date: 2022.
  5. A fuzzy partition-based method to classify social messages assessing their emotional relevance, Publication date: 2022.
  6. Fuzzy-Based Spatiotemporal Hot Spot Intensity and Propagation—An Application in Crime Analysis, Publication date: 2022.
  7. A theoretical development of cubic pythagorean fuzzy soft set with its application in multi-attribute decision making, Publication date: 2022.
  8. A GIS-based fuzzy multiclassification framework applied for spatiotemporal analysis of phenomena in urban contexts, Publication date: 2022.
  9. A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams, Publication date: 2022.
  10. A GIS-based framework to assess heatwave vulnerability and impact scenarios in urban systems, Publication date: 2023.
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