Guangbo Zhang | Chemistry and Materials Science | Best Researcher Award

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Mr. Guangbo Zhang | Chemistry and Materials Science | Best Researcher Award

Students Faculty of Metallurgy and Energy Engineering, Kunming University of Science and Technology China

Guangbo Zhang is a dedicated student and researcher affiliated with the Faculty of Metallurgy and Energy Engineering at Kunming University of Science and Technology. With a focused interest in steel corrosion and weathering steel resistance, Guangbo Zhang actively contributes to advancing metallurgical innovations.

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Education 🎓

Guangbo Zhang is currently pursuing academic and research activities at the Faculty of Metallurgy and Energy Engineering, Kunming University of Science and Technology, China. His education has laid a strong foundation for specialized work in corrosion resistance and steel engineering.

Experience 🛠️

Guangbo Zhang has been actively involved in research focusing on the effect of manganese (Mn) on the corrosion resistance of low-chromium weathering steel. This work highlights his deep understanding of material engineering and his ability to solve real-world industrial challenges.

Research Interests 🔍

Guangbo Zhang’s primary area of research is steel corrosion resistance, particularly understanding the microstructural behavior of low-Cr weathering steels and the role of manganese in enhancing durability. His contributions aim to address significant industrial and environmental concerns.

Awards 🏆

  • Award Nomination Category: Young Scientist Award (2024)
    Guangbo Zhang’s exceptional contributions in metallurgical engineering and corrosion resistance research make him a deserving candidate for recognition in the Young Scientist category.

Publications Top Notes:📚

Zhang, G., et al. (2024). Effect of Mn on Corrosion Resistance of Low-Cr Weathering Steel. Metals Journal.
Read here: 10.3390/met14121433

Cited by: Numerous studies addressing corrosion resistance and Mn-enhanced weathering steel durability.

Maria Yavropoulou | Health Professions | Best Researcher Award

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Dr. Maria Yavropoulou | Health Professions | Best Researcher Award

Endocrinology Consultant LAIKO University Hospital, Medicine school, national and Kapodistrian University of Athens Greece

Dr. Maria Yavropoulou is a distinguished Endocrinology Consultant at the Endocrinology Unit of the 1st Department of Propaedeutic and Internal Medicine, Medical School of the National and Kapodistrian University of Athens (NKUA). Based at LAIKO University Hospital in Athens, Greece, she specializes in managing endocrine disorders, with a keen focus on rare diseases of calcium and phosphate metabolism.

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Education 🎓

  • Medical Degree: Aristotle University of Thessaloniki (AUTh), Greece.
  • Endocrinology Specialization: AHEPA University Hospital, Thessaloniki.
  • Advanced Training: University of Leiden, Netherlands (LUMC), under Prof. Socrates Papapoulos; University of Arkansas, USA (UAMS), under Prof. Stavros Manolagas.
  • Ph.D.: Bone metabolism diseases, Aristotle University of Thessaloniki (AUTh).
  • Master’s Degrees:
    • “Translational Research in Molecular Biology and Genetics” (NKUA).
    • “Epidemiology – Research Methodology in Biomedical Sciences in Clinical Practice and Public Health” (NKUA).

Experience 🩺

  • Consultant actively managing all endocrine diseases, emphasizing rare calcium and phosphate metabolism disorders.
  • Deputy Head (since 2019): Center for Expertise of Rare Disorders of Calcium and Phosphate Metabolism (C.E.R.E.D), LAIKO Hospital.
  • Patient and Quality Coordinator: Center for Expertise for Adult Langerhans Histiocytosis, Athens.
  • Prestigious Memberships: Member of European Calcified Tissue Society, Steering Committee Member of ESE Educational Programme on Rare Disorders.

Research Interests 🧬

Dr. Yavropoulou’s research focuses on:

  • Bone metabolism and associated molecular mechanisms.
  • Diabetes and its intersection with endocrine disorders.
  • Cortisol production and its impact on rheumatoid arthritis.

Awards 🏆

Dr. Yavropoulou’s exemplary work has earned her numerous accolades, including:

  1. Jens Sandahl Christiansen Award (2020) – European Society of Endocrinology.
  2. G. TOLIS Award (2019) – Hellenic Endocrine Society.
  3. D. IKKOS Awards (2021, 2022) – Clinical Research, Hellenic Endocrine Society.
  4. EJE Rising Star Award (2022) – European Journal of Endocrinology.
  5. Excellence Scholarship in Ph.D. Thesis (2009-2010) – Aristotle University of Thessaloniki.

Publications Top Notes: 📚

Dr. Yavropoulou has authored numerous impactful publications (134 total, 3164 citations, h-index: 29). Selected works include:

The Association of Vitamin D Receptor Polymorphisms with COVID-19 Severity (2024) – Nutrients.

Diurnal Production of Cortisol and Treatment Response in Rheumatoid Arthritis (2024) – RMD Open.

Transient Osteoporosis Following Denosumab Discontinuation (2024) – Osteoporosis International.

Nocebo-Associated Treatment Discontinuation in Anti-Osteoporotic Drugs (2024) – Maturitas.

Immune System Effects on the Endocrine System (2023) – Endotext.

Patricia Lelo | Health Professions | Women Researcher Award

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Dr. Patricia Lelo | Health Professions | Women Researcher Award

Doctor Pediatric Hospital of Kalembelembe Congo, Democratic Republic of the

Dr. Patricia Lelo is a dedicated medical doctor with a master’s in public health and specialized training in infectious diseases, including HIV and tuberculosis. Currently pursuing a Ph.D. in mental health and sickle cell anemia, Dr. Lelo brings years of experience in pediatric care, infectious diseases, and public health research. She is known for her exemplary leadership and contributions to pediatric HIV/AIDS care in the Democratic Republic of Congo (DRC).

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Education 🎓

Dr. Lelo has a master’s degree in public health and holds several certifications in infectious diseases management, including specialized training in pediatric HIV and tuberculosis. She is currently advancing her academic career as a Ph.D. candidate, focusing on mental health and sickle cell anemia.

Experience 🏥

Since 2004, Dr. Lelo has served as Executive Deputy Head of the Infectious and Chronic Diseases Department at Kalembelembe Pediatric Hospital in Kinshasa, DRC. Her role includes overseeing care and treatment for children infected with and exposed to HIV/AIDS, managing opportunistic infections, tuberculosis, and sickle cell anemia in children. Additionally, she monitors and evaluates HIV/AIDS care programs and has worked as Assistant Coordinator for the SARA project, an initiative to expand HIV prevention and treatment services across DRC.

Research Interests 🔬

Dr. Lelo’s primary research interests include pediatric HIV, tuberculosis, sickle cell disease, and mental health. She is particularly passionate about improving outcomes for children affected by HIV/AIDS and TB, with a focus on comprehensive care and innovative approaches to disease management.

Awards 🏆

Dr. Lelo’s commitment to pediatric healthcare and infectious disease management has earned her recognition at both national and international levels. She has been a key contributor to training programs and projects that support HIV and TB care in children, underscoring her impactful contributions to global health.

Publications Top Notes:📚

Dr. Lelo has co-authored several peer-reviewed articles on topics such as pediatric HIV, prevention of mother-to-child transmission (PMTCT), and the intersection of mental health with infectious diseases. Here are a few notable publications:

Transition to dolutegravir-based ART in 35 low-and middle-income countries: A global survey of HIV care clinics

Lessons Learned from the Impact of HIV Status Disclosure to Children after First-Line Antiretroviral Treatment Failure in Kinshasa, DR Congo

COVID-19 associated changes in HIV service delivery over time in Central Africa: Results from facility surveys during the first and second waves of the pandemic

HIV Disclosure to Infected Children Involving Peers: A New Take on HIV Disclosure in the Democratic Republic of Congo

Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Member Chinese Association of Automation China

Quanzeng Liu is a dedicated researcher and a CPC member, specializing in intelligent robot technology. Currently holding a Master’s degree in Control Science and Engineering from Anhui University of Technology, he has actively contributed to meta-heuristic algorithms, robot control, and path planning. With five research publications and numerous awards in academic competitions, Quanzeng’s work advances innovative solutions in robotics and automation systems.

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Education 🎓

Quanzeng Liu holds a Master’s degree in Control Science and Engineering from Anhui University of Technology, where his focus was on intelligent robot technology. His academic training has provided a robust foundation in control systems and advanced robotics, enabling significant contributions to both theory and practical applications.

Experience 💼

Quanzeng Liu has valuable research experience, participating in three major scientific research projects, including the collaborative innovation project of Anhui Province (GXXT-2023-068) and chairing the postgraduate innovation fund project (2023CX2086) at Anhui University of Technology. His research engagements reflect a strong capability in designing and improving robotic systems, particularly for multi-machine cooperative operations.

Research Interests 🔍

Quanzeng Liu’s primary research areas include meta-heuristic algorithms, robot control, and path planning. His work focuses on improving the performance of intelligent robots, including quadruped robots and weeding robots, as well as optimizing algorithms for visual SLAM and real-world robotic applications.

Awards 🏆

Quanzeng Liu has received five awards in prestigious academic competitions, showcasing his excellence in research and innovative problem-solving. These recognitions underscore his ability to translate complex theories into impactful solutions in robotics and automation.

Publications Top Notes:📚

Quanzeng Liu has published five influential papers in recognized journals and conferences, contributing to advancements in robotics and algorithms.

CMGWO: Grey wolf optimizer for fusion cell-like P systems
Heliyon, 2024. Read here

An Evaluation System for Multi-Machine Cooperative Operation of Weeding Robots Based on Fuzzy Combination Weight
China Automation Congress (CAC), 2024.

Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios
Frontiers in Neurorobotics, 2024. Read here

A hypergraph cell membrane computing network model for soybean disease identification
Scientific Reports, 2024. Read here

Conclusion ✅

Quanzeng Liu is an exceptional researcher whose work in robotics and intelligent systems contributes to solving complex challenges in automation and control. His innovative approach to meta-heuristic algorithms and robot path planning makes him a highly deserving candidate for the Best Researcher Award. With continued focus on industrial applications and broader collaborations, Quanzeng is poised to make even greater impacts in the future of robotics and automation.

João Oliveira | Computer Science | Best Researcher Award

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Mr. João Oliveira | Computer Science | Best Researcher Award

Researcher Instituto de Telecomunicações Portugal

João Diogo Videira Oliveira is a dedicated researcher in vehicular communications and telematics engineering, currently contributing to advanced research at the Instituto de Telecomunicações in Aveiro, Portugal. With a strong background in computer and telematics engineering, João’s work focuses on enhancing communication protocols and intelligent transportation systems (ITS).

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Education 🎓

  • M.Sc. in Computer and Telematics Engineering (2021–2023)
    Institution: Universidade de Aveiro, Portugal | ua.pt
  • B.Sc. in Computer and Telematics Engineering Sciences (2018–2021)
    Institution: Universidade de Aveiro, Portugal | ua.pt

João has excelled academically, building a robust foundation in vehicular networks and communication protocols.

Experience 🛠️

  • Researcher | Instituto de Telecomunicações, Aveiro, Portugal
    Duration: March 2024 – Present
  • Research Scholarship | Instituto de Telecomunicações, Aveiro, Portugal
    Duration: February 2023 – February 2024

João’s experience involves extensive work on V2X systems, C-ITS protocols, and simulation frameworks like Vanetza and Artery V2X, contributing to innovations in vehicular communication and safety systems.

Research Interests 🔍

João’s primary research interests include:

  • Vehicular Communications (V2X)
  • Communication Protocols for ITS (C-ITS, ITS-G5)
  • Simulation frameworks such as OMNeT++, SUMO, and Artery V2X
  • Automated driving and fault simulation systems

His work addresses challenges in maneuver coordination, safety systems, and intelligent transportation technologies.

Awards & Certifications 🏆

  • Fault Simulation Training | Segula Testcenter, Rodgau (October 2024)
    • Training focused on safety driver responsibilities and practical driving maneuvers involving error scenarios.
    • Developed expertise in automated and partially automated vehicle systems.

Publications Top Notes: 📚

A Maneuver Coordination Analysis Using Artery V2X Simulation Framework (2024)

Reference: Oliveira, J., Vieira, E., Almeida, J., Ferreira, J., & Bartolomeu, P. C. (2024).
Electronics, 13(23), 4813.
Read here: https://doi.org/10.3390/electronics13234813

Cited by: Researchers working on V2X communication protocols and vehicular network safety systems.

Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

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Prof. Dr. Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Professor Guangdong University of Science and Technology China

Dr. Ke-Lin Du is a distinguished professor with a career spanning academia and industry. He received his PhD in Electrical Engineering from the Huazhong University of Science and Technology, China, in 1998. Currently, he serves as a professor at the Faculty of Mechanical and Electronic Engineering at Guangdong University of Science and Technology, Dongguan, China, since 2024. His journey includes impactful roles at leading institutions such as Concordia University, Huawei Technologies, and top research centers in Hong Kong. With a commitment to advancing technology, he has contributed significantly to signal processing, wireless communications, and machine learning.

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Education 🎓

  • PhD in Electrical Engineering – Huazhong University of Science and Technology, China (1998)

Experience 💼

  • Professor | Guangdong University of Science and Technology (2024–Present)
  • Affiliate Professor | Concordia University (2011–2024)
  • Research Staff | Concordia University (2001–2010)
  • Technical & Research Positions | Huawei Technologies, China Academy of Telecommunication Technology, CUHK, HKUST, Enjoyor Inc., Xonlink Inc.

With 20+ years of experience, Dr. Du has significantly contributed to academic teaching, cutting-edge research, and technological innovations in various global institutions.

Research Interests 🔬

Dr. Ke-Lin Du’s research focuses on:

  • Signal Processing
  • Wireless Communications
  • Machine Learning

His interdisciplinary expertise bridges theoretical concepts and practical applications, driving advancements in artificial intelligence and communication systems.

Awards and Honors 🏆

  • Stanford’s Top 2% Most Cited Scientists (2019–2023, 5 consecutive years)
  • Senior Member of IEEE (Since 2009)
  • Recognized for outstanding contributions to academia, research, and leadership in over 115 international conferences.

Publications Top Notes: 📚

Dr. Du is an accomplished author with 5 coauthored books, 13 co-edited books, 60 research papers, and 6 U.S. patents. Some notable publications include:

Neural Networks and Statistical Learning

Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature

Neural Networks in a Softcomputing framework

Clustering: A neural network approach

Wireless communication systems: From RF subsystems to 4G enabling technologies

Using radial basis function networks for function approximation and classification

Particle swarm optimization

Exploiting multiple antennas for spectrum sensing in cognitive radio networks

Maziar Ashuri | Energy and Sustainability | Best Researcher Award

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Dr. Maziar Ashuri | Energy and Sustainability | Best Researcher Award

Researcher Illinois Tech United States

🌟 Maziar Ashuri is a dedicated researcher and engineer specializing in advanced materials and energy storage systems. With a strong focus on lithium-ion and metal-ion batteries, his work has contributed significantly to innovations in renewable energy, electric vehicles, and sustainable technologies. As a researcher and educator, he combines his deep expertise with a passion for mentoring the next generation of scientists and engineers.

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Education

🎓 Maziar holds a Ph.D. in Materials Science & Engineering from the Illinois Institute of Technology (2019), where he developed high-performance silicon anodes and surface-modified NMC cathodes for lithium-ion batteries. He also earned an M.S. in Biomedical Engineering from Amirkabir University of Technology, Iran, and a B.S. in Metallurgical Engineering from the University of Tehran, showcasing his versatile academic background in material sciences and engineering.

Experience

💼 Maziar has extensive professional experience, including his current role as an EV Battery System R&D Senior Engineer at Hyundai America Technical Center. His career spans roles at Caterpillar Inc., Schaeffler Group USA, and AllCell Technologies, among others, where he led groundbreaking research in energy storage, thermal management, and failure analysis of batteries. His teaching and mentoring roles at various institutions further highlight his dedication to academia and industry.

Research Interests

🔬 Maziar’s research focuses on the development of next-generation energy storage systems, including lithium-ion and metal-ion batteries. He is passionate about exploring advanced materials, failure analysis, and sustainable solutions for energy storage, with a keen interest in applications for electric vehicles and renewable energy systems.

Awards

🏆 Maziar’s accolades include the Safety Improvement of the Year Award from Caterpillar Inc. (2022), the MMAE Outstanding Teaching Assistant Award (2019), and the Carl Samans Scholarship (2018). These honors reflect his commitment to excellence in research, teaching, and innovation.

Publications Top Notes: 

📚 Maziar has authored impactful peer-reviewed articles in leading journals:

Silicon as a potential anode material for Li-ion batteries: where size, geometry and structure matter

Improvement in physical and mechanical properties of aluminum/zircon composites fabricated by powder metallurgy method

Li2S encapsulated by nitrogen-doped carbon for lithium sulfur batteries

Development of a composite based on hydroxyapatite and magnesium and zinc‐containing sol–gel-derived bioactive glass for bone substitute applications

Hollow Silicon Nanospheres Encapsulated with a Thin Carbon Shell: An Electrochemical Study

H3PO4 treatment to enhance the electrochemical properties of Li(Ni1/3Mn1/3Co1/3)O2 and Li(Ni0.5Mn0.3Co0.2)O2 cathodes

Synthesis of a very high specific surface area active carbon and its electrical double-layer capacitor properties in organic electrolytes

Silicon oxides for Li-ion battery anode applications: toward long-term cycling stability

Rehana Riaz | Nanotechnology | Best Researcher Award

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Assist. Prof. Dr. Rehana Riaz | Nanotechnology | Best Researcher Award

Assistant Professor International Islamic University Islamabad Pakistan

Dr. Rehana Riaz is a passionate and dedicated academician specializing in Physics and Nanoelectronics. With extensive experience in research, teaching, and departmental leadership, she excels in creating impactful contributions to her field. Her expertise spans microelectronic devices, semiconductor fabrication, and advanced nanoscience techniques.

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Education 🎓

  • PhD (2015): International Islamic University Islamabad
    Thesis: “Simulation Fabrication and Characterization of Ultra Shallow Junctions in CMOS”
  • M.Phil (2001): Islamia University Bahawalpur
    Thesis: “Spectroscopic Evaluation of Glow Discharge Plasmas”
  • M.Sc (1997): Islamia University Bahawalpur
    Majors: Electronics, Mathematical Methods, Solid State & Nuclear Physics
  • B.Ed (1998): Government Old Degree College Bahawalpur
  • B.Sc (1995): Islamia University Bahawalpur
    Majors: Double Math and Physics
  • F.Sc (1993): Government Old Degree College Bahawalpur
  • SSC (1990): Government Higher Secondary School Model Town ‘A’ Bahawalpur

Professional Experience 🏫

  • Assistant Professor (2017–Present): International Islamic University Islamabad
    • Teaching advanced courses in Physics and Nanoscience
    • Supervising graduate and undergraduate students
    • Leading research projects, including HEC-funded initiatives
  • Assistant Professor (IPFP) (2015–2017): Federal Urdu University
  • Lecturer (2011–2015): Center for Emerging Sciences, Engineering, and Technology (CESET)
  • Visiting Lecturer (2010–2011): International Islamic University Islamabad
  • Research Fellow (2006–2011): HEC-funded project on CMOS Nanoelectronics
  • Lecturer (2002–2004): Government College

Research Interests 🔬

  • Nanoelectronics and Semiconductor Device Processing
  • Advanced Materials and Nanoscience Applications
  • Plasma Physics and Spectroscopic Techniques
  • Fabrication of Graphene and Advanced Sensor Technologies

Awards and Achievements 🏆

  • Principal Investigator for an HEC-funded project on graphene fabrication
  • Participated in prestigious international workshops and training programs on microelectronics and ion beam analysis techniques
  • Contributed to the development of curricula and academic programs

Publications Top Notes: 📚

“Fabrication of Graphene with Little Alteration in Hummer’s Method” (2022) – Published in Journal of Nano Materials Science. [Cited by 15 articles]

“Formation and Characterization of Ultra-shallow Junctions for CMOS Devices” (2018) – Published in Microelectronics Journal. [Cited by 25 articles]

“Spectroscopic Analysis of Glow Discharge Plasmas” (2014) – Published in Plasma Physics Reports. [Cited by 30 articles]

 

Sangeeta Prasher | Physics and Astronomy | Best Researcher Award

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Dr. Sangeeta Prasher | Physics and Astronomy | Best Researcher Award

Associate Professor Kanya Mahavidyalaya India

Dr. Sangeeta Prasher is an accomplished researcher in the field of material sciences with a specialization in radiation effects on polymers and polymeric track detectors. With a career spanning over two decades, Dr. Prasher has contributed significantly to advancing scientific knowledge, earning over 594 citations for her work. Her academic journey and dedication to research have established her as a respected authority in her domain.

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Education 🎓

Dr. Sangeeta Prasher completed her higher education in material sciences, focusing on radiation-induced modifications in polymers. Her doctoral research laid the foundation for her expertise in radiation measurement and detector materials. She has since continued to expand her academic pursuits through various professional development courses.

Experience 🌍

With extensive experience as a faculty member, Dr. Prasher has not only excelled in research but also contributed to academic development. She has participated in and organized numerous faculty development programs, including UGC-sponsored courses and workshops. Her teaching and mentorship have inspired countless students to pursue research in material sciences.

Research Interests 🔬

Dr. Prasher’s research interests revolve around the effects of radiation on polymeric materials, detector development, and the application of X-ray techniques for material characterization. She is particularly focused on the structural and optical changes induced by gamma rays and heavy ion beams in polymers.

Awards 🏆

Dr. Prasher has been recognized for her exceptional contributions to material sciences. Her dedication and achievements have earned her accolades and nominations in various academic and scientific forums. Her work continues to inspire peers and students alike.

Publications Top Notes:🔗

The effect of infrared radiation on etching characteristics of CR-39 plastic track recorder. Radiat. Meas., 2003. Cited by 105 articles.

Gamma ray induced modifications in polycarbonates. Solid State Physics (India), 2003. Cited by 85 articles.

UV-VIS spectroscopic and etching studies of IR exposed CR-39 plastic track recorder. Nucl. Instrum Methods B, 2004. Cited by 120 articles.

The etching and structural studies of gamma irradiated induced effects in CR-39 plastic track recorder. Nucl. Instrum Methods B, 2004. Cited by 95 articles.

The etching & structural response of Makrofol-N & Makrofol-KG polycarbonate to gamma irradiation. Radiat. Eff. Defects Solids, 2004. Cited by 90 articles.

Gamma ray induced modifications in glass track detectors. Solid State Physics (India), 2004. Cited by 70 articles.

The optical, chemical, and spectral response of gamma irradiated Lexan polymeric track recorder. Radiat. Meas., 2005. Cited by 80 articles.

A comparison of modifications induced by Li3+ and O6+ ion beam to Makrofol-KG and CR-39 polymer track detectors. Nucl. Instrum Methods B, 2006. Cited by 49 articles.

ABDUL SAMI | Engineering | Best Researcher Award

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Mr. ABDUL SAMI | Engineering | Best Researcher Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

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Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0