sheraz shamim | Laser Scanner | Best Researcher Award

Mr. sheraz shamim | Laser Scanner | Best Researcher Award

PhD Scholar at NED University of Engineering and Technology, Pakistan

Sheraz Shamim is an accomplished engineer and researcher specializing in electrical power engineering and avionics systems. Currently pursuing a PhD at NED University of Engineering & Technology in Karachi, Pakistan, he aims to advance localization and 3D mapping technologies. With a Master’s degree from RWTH Aachen in Germany and a Bachelor’s degree from the Institute of Industrial Electronics Engineering in Pakistan, Sheraz combines academic rigor with practical experience. He has held the position of General Manager in a public sector organization since 2006, where he has managed projects involving system engineering, signal conditioning, and remote sensing. Passionate about educational development, he aspires to share cutting-edge research with the scientific community to improve living standards. In his spare time, he enjoys electronic circuit design, reading, and sports.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Educational Background: Sheraz holds a Master of Science from RWTH Aachen, a prestigious institution in Germany, and is currently pursuing a PhD in a relevant field, demonstrating a strong academic foundation in electrical engineering.
  2. Diverse Experience: With over 18 years of experience in a public sector organization, Sheraz has extensive hands-on experience in system engineering, avionics, and various aspects of electronics, which enriches his research perspective.
  3. Research Contributions: Sheraz has published multiple papers in reputable journals and conferences, focusing on innovative applications of laser scanning and mapping technologies. His work on SLAM (Simultaneous Localization and Mapping) and laser scanner characterization showcases significant contributions to the field.
  4. Interdisciplinary Skills: Proficiency in a variety of development tools and environments (MATLAB, ROS, Python, etc.) suggests a strong ability to integrate different technologies, which is crucial for modern research.
  5. Awards and Recognition: Being nominated as a best individual achiever in multiple years indicates recognition by peers and superiors, reflecting a commitment to excellence.
  6. Commitment to Education: His objective emphasizes contributing to educational development, indicating a passion for sharing knowledge and fostering growth in the scientific community.

Areas for Improvement:

  1. Expand Collaborative Networks: While he has solid experience and publications, further expanding collaborations with international researchers could enhance visibility and impact in the global research community.
  2. Broaden Research Topics: Exploring additional research areas beyond his current focus on laser scanning and SLAM could diversify his expertise and open new avenues for innovation.
  3. Enhance Public Engagement: Actively engaging in public speaking or outreach initiatives related to his research could increase awareness and interest in his work, especially in educational settings.
  4. Further Development of Programming Skills: While he has foundational knowledge in Python, advancing these skills could enhance his research capabilities, particularly in data analysis and algorithm development.

Education:

Sheraz Shamim is currently pursuing his PhD in Localization and 3D Mapping at the Electronic Engineering Department of NED University of Engineering & Technology, Karachi, Pakistan. He holds a Master of Science in Electrical Power Engineering, obtained in 2011 from RWTH Aachen University, one of Germany’s leading technical universities. His undergraduate studies culminated in a Bachelor of Engineering in Industrial Electronics from the Institute of Industrial Electronics Engineering, P.C.S.I.R, Karachi, Pakistan, affiliated with NED University, where he graduated in 2006. Throughout his academic journey, he has been awarded scholarships, including a merit-based MSc scholarship from the Higher Education Commission (HEC) of Pakistan. His educational background not only underscores his technical expertise but also reflects his commitment to contributing to advancements in the field of electrical engineering and enhancing educational standards in his home country.

Experience:

Sheraz Shamim has over 18 years of experience in the field of electrical engineering, currently serving as General Manager in a public sector organization since 2006. His role encompasses diverse responsibilities, including system engineering for avionics systems, modeling and simulation of subsystems, and instrumentation and signal conditioning. He has demonstrated expertise in both analog and digital electronics, as well as modular-based power electronics management and distribution. His work also extends to electrical drive control and monitoring systems, remote sensing technologies, and GPS-INS integration for vehicle navigation. Additionally, Sheraz has successfully led various projects, including the analysis of modular multilevel converters for DC grids and the automation of industrial processes. His extensive hands-on experience equips him with a robust understanding of practical applications, making him a valuable asset in advancing innovative technologies in his field.

Research Focus:

Sheraz Shamim’s research primarily focuses on localization and 3D mapping technologies, with a keen interest in applying laser scanning and computer vision in real-world applications. His work involves the implementation of 2D feature-based SLAM solutions for indoor mapping, showcasing his commitment to enhancing navigation systems through advanced sensor integration. He has extensively studied the characterization and calibration of 2D laser sensors, aiming to improve accuracy in mapping and surveying applications. Additionally, Sheraz has explored the development of low-cost laser scanning systems for generating Building Information Models (BIM), emphasizing accessibility and efficiency in architectural practices. His research contributes significantly to the fields of robotics, automation, and electrical engineering, with the goal of enhancing common living standards through state-of-the-art technology. With a strong publication record, he is actively engaged in disseminating his findings to the scientific community, driving innovation and collaboration.

Publications Top Notes:

  • Characterization and calibration of multiple 2D laser scanners
  • A Comparative Study of Multiple 2D Laser Scanners for Outdoor Measurements
  • Development of a Low-Cost Stationary Laser Scanning System for Generation of Building Information Models
  • Low Cost Backpack Scanning and Mapping System for Indoor Environments
  • Building 3D Perception Model Around Moving Vehicle Using Laser and Vision Information
  • Campus Terrain Surveying and Mapping using Low Range 2D Laser Scanners

Conclusion:

Sheraz Shamim exemplifies a strong candidate for the Best Researcher Award due to his solid educational background, extensive professional experience, and impactful research contributions. His work significantly advances the fields of electrical engineering and robotics. By addressing areas for improvement, particularly in collaborative and public engagement efforts, he could further enhance his profile as a leading researcher. Recognizing his achievements through this award would not only honor his past contributions but also motivate continued excellence in his future endeavors.

Amir Fayyaz | Sensor Characterization | Best Researcher Award

Dr. Amir Fayyaz | Sensor Characterization | Best Researcher Award

Assistant prof. at National center for Physics, Islamabad, Pakistan

Amir Fayyaz is a dedicated researcher and educator in the field of physics, specializing in laser-induced breakdown spectroscopy (LIBS) and elemental analysis. Based in Islamabad, Pakistan, he has amassed extensive experience across various academic and research institutions, including The University of Arizona and Quaid-i-Azam University. His contributions encompass advanced spectroscopic techniques for chemical analysis, focusing on rare earth elements and high-entropy alloys. Amir is also an active participant in national and international conferences, where he shares his findings and innovations. His commitment to education is evident through his roles as a teaching assistant and lecturer, where he inspires the next generation of physicists.

Profile:

Strengths for the Award:

  1. Extensive Research Experience: Amir Fayyaz possesses a robust background as a research associate, assistant, and scholar in prestigious institutions, including The University of Arizona and Quaid-i-Azam University. His hands-on experience with advanced techniques such as Laser-Induced Breakdown Spectroscopy (LIBS) and time-of-flight mass spectrometry (TOF-MS) demonstrates his technical expertise.
  2. Diverse Skill Set: His proficiency in various analytical techniques, including EDX, XRF, and chemometric analyses, showcases his versatility. He has successfully conducted elemental analysis of rare earth elements and high entropy alloys, positioning him at the forefront of current scientific inquiries.
  3. Publication Record: Amir has a commendable publication record with multiple articles in reputable journals, highlighting his contributions to the field. His work on LIBS-assisted PCA and elemental analysis of rare earth ores is particularly noteworthy.
  4. Conference Engagement: His active participation in national and international conferences underscores his commitment to sharing knowledge and collaborating with the scientific community. Winning a best presentation award at a prestigious conference further validates his research impact.
  5. Teaching Experience: Amir has demonstrated his capability to convey complex concepts effectively as a teaching assistant and lecturer. This dual role as a researcher and educator enhances his profile, as it reflects his ability to mentor future scientists.
  6. Research Funding: Securing funding for multiple research projects indicates his research proposal skills and the trust of funding bodies in his capabilities. This experience is crucial for leading significant research initiatives.

Areas for Improvement:

  1. Broader Research Collaboration: While Amir has engaged in several projects, expanding his collaborative efforts across different disciplines could enhance his research impact and foster innovative solutions to complex problems.
  2. Outreach Activities: Increasing involvement in outreach or public engagement initiatives could raise awareness of his research and its societal implications, thereby enhancing the visibility of his work.
  3. Diversity of Research Topics: Exploring additional areas outside his current focus could enrich his portfolio and open avenues for interdisciplinary research.
  4. Grant Writing Skills: Further developing grant writing skills will be beneficial for securing more funding opportunities and leading larger research projects.

Education:

Amir Fayyaz holds a Master’s degree in Physics from Quaid-i-Azam University, Islamabad, where he excelled in research on atomic and molecular physics. His academic journey began with a Bachelor’s degree in Physics, laying a strong foundation in theoretical and experimental physics. His education is complemented by various workshops and seminars that enhance his research skills, particularly in spectroscopy and materials science. Amir has been awarded a Departmental Fellowship and an International Research Support Initiative Scholarship, reflecting his academic prowess and dedication to advancing the field of physics.

Experience:

Amir’s professional experience spans multiple prestigious institutions. As a Research Associate at The University of Arizona, he optimized 2D LIBS mapping systems and conducted chemical analyses of ores. His previous roles as a Research Assistant at Quaid-i-Azam University and as a Visiting Research Scholar at the National Center for Physics involved calibrating LIBS systems and conducting elemental analyses. Amir has also served as a Teaching Assistant and Specialist Lecturer, where he taught various undergraduate physics courses. His work has been recognized through presentations at numerous conferences, showcasing his research on LIBS and its applications.

Awards and Honors:

Amir has received several prestigious awards, highlighting his academic and research achievements. He was honored with a Departmental Fellowship from Quaid-i-Azam University and an International Research Support Initiative Scholarship from the Higher Education Commission of Pakistan. His outstanding presentation skills earned him the Best Presentation Prize at the International Nathiagali Summer College. Additionally, he was recognized with the Prime Minister Laptop Award for his academic excellence. These accolades reflect his commitment to research and education, as well as his potential for future contributions to the field of physics.

Research Focus:

Amir’s research primarily centers on laser-induced breakdown spectroscopy (LIBS) and its applications in elemental analysis. His work includes optimizing LIBS systems for analyzing rare earth elements and high-entropy alloys, as well as developing calibration-free techniques for various materials. He also explores the use of spectroscopic methods in characterizing polymers and other advanced materials. Amir’s research aims to enhance the efficiency and accuracy of elemental detection, contributing to advancements in materials science and environmental analysis. His ongoing projects reflect a strong commitment to innovative research that addresses contemporary challenges in physics and engineering.

Publications Top Notes:

  • Elemental analysis of cement by calibration-free laser induced breakdown spectroscopy (CF-LIBS) and comparison with laser ablation–time-of-flight–mass spectrometry (LA-TOF-MS)
    A Fayyaz, U Liaqat, Z Adeel Umar, R Ahmed, M Aslam Baig, Analytical Letters 52 (12), 1951-1965 (2019)
  • VO2 thin film based highly responsive and fast VIS/IR photodetector
    ZA Umar, R Ahmed, H Asghar, U Liaqat, A Fayyaz, MA Baig, Materials Chemistry and Physics 290, 126655 (2022)
  • LIBS assisted PCA analysis of multiple rare-earth elements (La, Ce, Nd, Sm, and Yb) in phosphorite deposits
    A Fayyaz, H Asghar, AM Alshehri, TA Alrebdi, Heliyon 9 (3) (2023)
  • Combination of laser-induced breakdown spectroscopy, and time–of–flight mass spectrometry for the quantification of CoCrFeNiMo high entropy alloys
    A Fayyaz, U Liaqat, K Yaqoob, R Ahmed, ZA Umar, MA Baig, Spectrochimica Acta Part B: Atomic Spectroscopy 198, 106562 (2022)
  • Laser spectroscopic characterization for the rapid detection of nutrients along with CN molecular emission band in plant-biochar
    TA Alrebdi, A Fayyaz, H Asghar, S Elaissi, LAE Maati, Molecules 27 (15), 5048 (2022)
  • Vibrational Emission Study of the CN and C2 in Nylon and ZnO/Nylon Polymer Using Laser-Induced Breakdown Spectroscopy (LIBS)
    TA Alrebdi, A Fayyaz, A Ben Gouider Trabelsi, H Asghar, FH Alkallas, Polymers 14 (17), 3686 (2022)
  • Quantification of aluminum gallium arsenide (AlGaAs) wafer plasma using calibration-free laser-induced breakdown spectroscopy (CF-LIBS)
    TA Alrebdi, A Fayyaz, H Asghar, A Zaman, M Asghar, FH Alkallas, Molecules 27 (12), 3754 (2022)
  • Analysis of Rare Earth Ores Using Laser-Induced Breakdown Spectroscopy and Laser Ablation Time-of-Flight Mass Spectrometry
    A Fayyaz, R Ali, M Waqas, U Liaqat, R Ahmad, ZA Umar, MA Baig, Minerals 13 (6), 787 (2023)
  • Supercapacitive behavior and energy storage properties of molybdenum carbide ceramics synthesized via ball milling technique
    K Naseem, Z Ali, P Chen, A Tahir, F Qin, A Fayyaz, MD Albaqami, Ceramics International 50 (6), 9572-9580 (2024)
  • Elemental study of Devarda’s alloy using calibration free-laser induced breakdown spectroscopy (CF‒LIBS)
    J Iqbal, TA Alrebdi, A Fayyaz, H Asghar, SKH Shah, M Naeem, Laser Physics 33 (3), 036001 (2023)
  • Enhanced generation of hydrogen through hydrolysis of biochar-coupled magnesium: Analysis of the performance of biochar-support and the effect of metallic coating on biochar
    K Naseem, J Zhang, A Fayyaz, W Hayat, S Ahmed, S Khursheed, Journal of Environmental Chemical Engineering 12 (1), 111770 (2024)
  • Laser-Induced breakdown spectroscopy and energy-dispersive x-ray analyses for green mineral fluorite (CaF2)
    A Fayyaz, H Asghar, TA Alrebdi, Results in Physics 52, 106850 (2023)
  • Multi-Spectroscopic Characterization of MgO/Nylon (6/6) Polymer: Evaluating the Potential of LIBS and Statistical Methods
    A Fayyaz, H Asghar, M Waqas, A Kamal, WA Al-Onazi, AM Al-Mohaimeed, Polymers 15 (15), 3156 (2023)
  • Optical and thermal characterization of pure CuO and Zn/CuO using laser-induced breakdown spectroscopy (LIBS), x-ray fluorescence (XRF), and ultraviolet–visible (UV–Vis)
    MI Khan, A Fayyaz, S Mushtaq, H Asghar, TA Alrebdi, H Cabrera, R Ali, Laser Physics Letters 20 (8), 086001 (2023)
  • Chemometrics and Spectroscopic Analyses of Peganum harmala Plant’s Seeds by Laser-Induced Breakdown Spectroscopy
    TA Alrebdi, A Fayyaz, H Asghar, A Kamal, J Iqbal, NK Piracha, Applied Sciences 13 (5), 2780 (2023)
  • Spectroscopical Characterization of Copper–Iron (Cu-Fe) Alloy Plasma Using LIBS, ICP-AES, and EDX
    A Fayyaz, J Iqbal, H Asghar, TA Alrebdi, AM Alshehri, W Ahmed, N Ahmed, Metals 13 (7), 1188 (2023)
  • Analytical Techniques for Elemental Analysis: LIBS, LA-TOF-MS, EDX, PIXE, and XRF: A Review
    MA Baig, A Fayyaz, R Ahmed, ZA Umar, H Asghar, U Liaqat, R Hedwig, Proceedings of the Pakistan Academy of Sciences: A. Physical and Biological Sciences (2024)
  • CF-LIBS based elemental analysis of Saussurea simpsoniana medicinal plant: a study on roots, seeds, and leaves
    A Fayyaz, N Ali, ZA Umar, H Asghar, M Waqas, R Ahmed, R Ali, MA Baig, Analytical Sciences 40 (3), 413-427 (2024)

Conclusion:

Amir Fayyaz is an exceptionally qualified candidate for the Best Researcher Award. His extensive experience in advanced research methodologies, a strong publication record, and a commitment to education exemplify his dedication to advancing scientific knowledge. By addressing areas for improvement, he could enhance his already impressive profile and contribute even more significantly to the field of physics and materials science. His potential for future contributions, coupled with his current achievements, strongly supports his nomination for this award.

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea 🎓

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea 🏥
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea 🔬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea 📘
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea 📝

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body

Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

Mr. Mohammad Ali Nasiri ,university of valencia -Instituto de Ciencia Molecular (ICMOL), Spain

Mohammad Ali Nasiri, based in Valencia, Spain, is an innovative researcher specializing in thermoelectric materials, energy storage, and sustainable solutions. With over five years of experience at the Instituto de Ciencia Molecular (ICMOL), he has made significant advancements in energy storage technologies and sustainable thermoelectric materials. Nasiri has expertise in micro/nanofabrication and extensive characterization techniques, including electron beam evaporation, thermal evaporation, and Raman spectroscopy. His notable publications include works on ultrathin transparent nickel electrodes and lignin-derived ionic conducting membranes. Nasiri holds a Master of Science in Nanotechnology from the Materials and Energy Research Center, Iran, and a Master of Science in Mechanical Engineering from Tarbiat Modares University, Iran. He is currently pursuing research in Nanoscience and Nanotechnology at the University of Valencia, focusing on thermoelectric materials. Nasiri’s work has been guided by esteemed research advisors Andres Cantarero and Clara Gomez.

Professional Profile:

ORCID

Education:

  • Researcher in Nanoscience and Nanotechnology, University of Valencia (March 2019 – Present)
  • Master of Science in Nanotechnology – Nanomaterials, Materials and Energy Research Center, Tehran, Iran (September 2014 – 2017)
  • Master of Science in Mechanical Engineering, Tarbiat Modares University, Tehran, Iran (November 2006 – 2009)

Languages:

  • English (B1), Persian (Native) 🗣️📚

Research Interests:

  • Hydrogel bioelectronics
  • Thermal conductivity on flakes
  • Ionic thermometric materials 🌊🌡️

Professional Experience:

  • Researcher Assistant at Instituto de Ciencia Molecular (ICMOL) (March 2019 – Present)
    • Developed sensors for 3ω method thermal conductivity characterization.
    • Created lignin-based MWCNT/MXene multilayered electrodes for energy storage.
    • Pioneered sustainable innovations in thermoelectric materials, including lignin-derived ionic conducting membranes and hydrogels.
    • Advanced techniques in transparent thermoelectric materials, including ultrathin transparent nickel electrodes and selective light absorbers. 🌞🧪

Skills:

  • Cleanroom Class 10000: Expert in micro and nanofabrication techniques such as electron beam evaporation, thermal evaporation, sputtering, ellipsometry, dry etching, and wire bonding. 🏭🔧
  • Characterization Techniques: Proficient in thermoelectric and thermal conductivity measurements, Hall effect, Raman, FTIR, UV-Vis, XPS, Kerr electro-optic effect, and SThM. 📊🔍
  • Mathematical Modeling and Problem Solving: Specializes in ionic thermoelectric materials and metamaterials using finite element method (FEM) and perturbation method. 📐🧩

Publication top Notes:

Highly-efficient sustainable ionic thermoelectric materials using lignin-derived hydrogels

Synthesis of PEDOT/CNTs Thermoelectric Thin Films with a High Power Factor

Lignin‐Derived Ionic Conducting Membranes for Low‐Grade Thermal Energy Harvesting

Ultrathin Transparent Nickel Electrodes for Thermoelectric Applications

Textile‐based Thermoelectric Generator Produced Via Electrochemical Polymerization

Elevated temperature annealed α-Fe<inf>2</inf>O<inf>3</inf>/reduced graphene oxide nanocomposite photoanode for photoelectrochemical water oxidation