Md. Rajib Munshi | Computational Methods | Computational Science Excellence Award

Mr. Md. Rajib Munshi | Computational Methods | Computational Science Excellence Award

European University of Bangladesh | Bangladesh

Md. Rajib Munshi is an Assistant Professor and Acting Head of the Department of Physics at European University of Bangladesh (EUB). With a profound dedication to educational excellence and intellectual curiosity, he works towards cultivating creativity and higher-order thinking skills among students, promoting a deep understanding of physics and related fields. Through his strong academic background and impactful research, he continues to inspire and contribute to the advancement of scientific knowledge.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Md. Rajib Munshi began his academic journey at Jagannath University (JnU), Dhaka, where he earned his Bachelor of Science (B.Sc. Hon’s) and Master of Science (M.Sc.) in Physics with excellent grades. His academic foundation was further strengthened at the Bangladesh University of Engineering and Technology (BUET), where he is currently completing his M.Phil. in Physics, with a CGPA of 3.83. This demonstrates his commitment to excellence in learning and his passion for the field of computational science.

Professional Endeavors 💼

Md. Munshi’s career at European University of Bangladesh began in 2015, where he has held various positions in the Department of Physics, including Lecturer, Senior Lecturer, and currently as Assistant Professor. His teaching experience spans over 9 years, demonstrating his long-standing commitment to educating the next generation of physicists. He also serves as a Research Collaborator at the Nanotechnology Research Laboratory (NRL) at BUET, contributing his expertise to cutting-edge research in nanomaterials.

Contributions and Research Focus 🔬

Md. Munshi’s research focus lies in computational material science, with a particular emphasis on the use of Density Functional Theory (DFT) to predict the electronic, optical, mechanical, thermodynamic, and photocatalytic properties of various inorganic compounds. His research has led to significant advancements in the study of materials like In(X)O2, RaZrO3, and GaAgO2, with implications for applications in photocatalysis, optical devices, and energy storage.

Impact and Influence 🌍

Md. Munshi’s work is highly regarded in the scientific community, with numerous publications in high-impact journals such as Computational Condensed Matter, RSC Advances, and Heliyon. His research has garnered attention due to its innovative nature and potential real-world applications. Through his collaborative research, he has contributed to advancing material science, particularly in the areas of nanotechnology and photocatalysis.

Academic Citations 📚

His research contributions have made a significant impact, evidenced by the number of citations his work has received. With a consistent record of publishing in prestigious journals, Md. Munshi’s research is contributing to the global understanding of nanomaterials and their applications in various industries. His studies provide the foundation for future innovations in electronic and energy-efficient technologies.

Research Skills 🔍

Md. Munshi is well-versed in advanced computational methods such as DFT simulations, which he utilizes to explore and predict the properties of materials at the atomic and molecular level. His technical expertise in these computational techniques has made him an essential contributor to research that focuses on material design for photocatalysis and electronic applications. His ability to blend theoretical insights with practical research methods is one of his key strengths.

Teaching Experience 📖

With over 9 years of teaching experience, Md. Munshi has played an instrumental role in shaping the academic environment at European University of Bangladesh. His teaching philosophy is centered around nurturing critical thinking, problem-solving skills, and fostering intellectual curiosity in his students. He is known for creating an engaging learning environment that not only imparts knowledge but also encourages students to explore new concepts in physics and related fields.

Legacy and Future Contributions 🚀

Looking forward, Md. Rajib Munshi is determined to further expand his research into multidisciplinary areas, including the integration of machine learning with computational material science. His goal is to continue advancing the field of computational science and make lasting contributions to the development of sustainable materials for energy and environmental solutions. As a leader and mentor, he aspires to inspire future researchers to explore innovative solutions for the challenges of tomorrow.

Publications Top Notes

Structural, optical, magnetic, and enhanced antibacterial properties of hydrothermally synthesized Sm-incorporating α-MoO3 2D-layered nanoplates

  • Authors: SK Sen, MR Munshi, A Kumar, AA Mortuza, MS Manir, MA Islam, …
    Journal: RSC Advances
    Year: 2022

Structural, electronic, optical and thermodynamic properties of AlAuO2 and AlAu0.94Fe0.06O2 compounds scrutinized by density functional theory (DFT)

  • Authors: MZ Rana, MR Munshi, M Al Masud, MS Zahan
    Journal: Heliyon
    Year: 2023

Theoretical insights on geometrical, mechanical, electronic, thermodynamic and photocatalytic characteristics of RaTiO3 compound: a DFT investigation

  • Authors: MS Zahan, MR Munshi, MZ Rana, M Al Masud
    Journal: Computational Condensed Matter
    Year: 2023

Theoretical investigation of structural, electronic, optical and thermoelectric properties of GaAgO2 based on Density Functional Theory (DFT): Two approaches

  • Authors: MR Munshi, MZ Rana, SK Sen, MRA Foisal, MH Ali
    Journal: World Journal of Advanced Research and Reviews
    Year: 2022

Electronic, thermodynamic, optical and photocatalytic properties of GaAgO2 and AlAgO2 compounds scrutinized via a systemic hybrid DFT

  • Authors: MR Munshi, SK Sen, MZ Rana
    Journal: Computational Condensed Matter
    Year: 2023

First principles prediction of geometrical, electronic, mechanical, thermodynamic, optical and photocatalytic properties of RaZrO3 scrutinized by DFT investigation

  • Authors: MR Munshi, M Al Masud, M Rahman, MR Khatun, MF Mian
    Journal: Computational Condensed Matter
    Year: 2024

 

 

Abdul Faiz Ansari | Computational Methods | Best Researcher Award

Mr. Abdul Faiz Ansari | Computational Methods | Best Researcher Award

👨‍🎓 Profile

🎓 Early Academic Pursuits

Mr. Abdul Faiz Ansari’s journey in academia began with an exceptional foundation in mathematics, starting from his high school and intermediate education under the U.P. Board, India. He pursued a B.Sc. and M.Sc. in Mathematics at the University of Lucknow, achieving milestones in 2015 and 2017, respectively. His doctoral research, initiated in December 2020, revolves around the study of fluid flow through porous media a testament to his passion for unraveling mathematical complexities.

💼 Professional Endeavors

Currently serving as a Senior Research Fellow and doctoral candidate at the University of Lucknow, Abdul has gained experience in teaching undergraduate mathematics courses. His dedication is evident through his involvement in courses such as Mathematical Methods, Mechanics, and Differential Calculus. His NET and GATE qualifications, along with his JRF achievement in 2022, solidify his expertise in advanced mathematics.

🔬 Contributions and Research Focus

Abdul Faiz Ansari’s research focus primarily revolves around fluid mechanics and variational analysis. His dissertation delves into the Darcy-Brinkman models, studying anisotropic porous channels under external influences like magnetic fields and rotation. His work has produced a series of impactful publications, contributing to key journals such as the Journal of Porous Media and Journal of Computational and Theoretical Transport. His research not only deepens understanding of fluid behavior but also has significant applications in fields like hydrology, petroleum engineering, and environmental science.

🌟 Impact and Influence

Abdul Faiz Ansari’s research has contributed significantly to understanding Darcy-Brinkman models and anisotropic porous channels, impacting real-world applications. He has presented papers at international conferences, including those organized by institutions like NIT Tiruchirappalli and the University of Delhi, further establishing his presence in the academic community.

📚 Academic Citations

Abdul has co-authored numerous Scopus-indexed papers in areas such as MHD flows, Couette flows, and variational inequalities, contributing to advancements in both theoretical and applied mathematics. Notable publications include works on Darcy-Brinkman flow in rotating systems and the Cayley-Yosida inclusion problem. His research demonstrates a profound ability to bridge gaps between pure and applied mathematical disciplines.

🛠️ Technical Skills

Abdul is proficient in Mathematica, with over five years of experience, and MATLAB, with two years of expertise. He has been an avid user of LaTeX for document preparation for more than seven years, showcasing his technical prowess in mathematical computations and academic writing.

👨‍🏫 Teaching Experience

Abdul Faiz’s teaching experience showcases his ability to simplify complex concepts for students. As a teacher in Mathematical Methods, Mechanics, and other fundamental subjects, he has been responsible for helping students build a solid foundation in mathematics and physics. His ability to engage students in conceptual understanding has earned him praise, and his teaching contributions align well with his research expertise.

Top Noted Publications

Effect of Magnetic Field on Darcy-Brinkman Flow Through Rotating Porous Channel System
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Special Topics & Reviews in Porous Media: An International Journal
    • Year: 2024
Effect of Magnetic Field and Slip Conditions on Flow in a Rotating Porous Channel With Viscous Dissipation
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Heat Transfer
    • Year: 2024
Couette Flow of Micropolar Fluid in a Channel Filled with Anisotropic Porous Medium
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Archive of Mechanical Engineering
    • Year: 2024
Darcy-Brinkman Flow in an Anisotropic Rotating Porous Channel Under the Influence of Magnetic Field
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Journal of Porous Media
    • Year: 2024
Generalized Regularized Gap Functions and Error Bounds for Generalized Vector Variational-like Inequalities
    • Authors: Abdul Faiz Ansari
    • Journal: Applied Set-Valued Analysis and Optimization
    • Year: 2022

 

 

 

Kerem Mertoğlu | Computational Methods | Best Researcher Award

Assist. Prof. Dr. Kerem Mertoğlu | Computational Methods | Best Researcher Award

Professor (Assistant) at Usak University, Turkey

👨‍🎓 Profiles

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🧑‍🔬📚Summary

Dr. Kerem Mertohğlu is an Assistant Professor with expertise in horticultural science, focusing on fruit cultivation and breeding. His research spans a range of topics including fruit disease resistance, plant biochemistry, and sustainable agriculture practices. He is active in national and international projects and has contributed to numerous publications in reputable journals. 🧑‍🔬📚

Education

  • Doctoral Degree (2017) in Horticulture, specializing in Fruit Breeding and Cultivation 🌿🎓

Professional Experience

  • Assistant Professor, Usak University, Faculty of Agriculture (2023 – Present) 🍏
  • Researcher, Various National and International Research Projects 📊
  • Visiting Researcher, Leibniz University, Germany (2021-2022) 🌍

Research Interests

  • Fruit Breeding & Cultivation 🍎🍇
  • Plant Disease Resistance (e.g., Erwinia amylovora in pear) 🌾🔬
  • Phytochemical Characteristics & Antioxidant Activity in fruits 🍒
  • Impact of Environmental Factors (e.g., altitude on fruit quality) 🌄
  • Sustainable Agricultural Practices and Post-Harvest Technology 🍃

Key Projects

  • Strengthening Social Capital for Rural Development (EU Project) 🌍
  • Development of Liquid Chromatography for Organic Acid Detection (National Project) 🔬

Top Noted Publications

Screening and classification of rosehip (Rosa canina L.) genotypes based on horticultural characteristics
  • Authors: Mertoğlu, K., Durul, M.S., Korkmaz, N., Bulduk, I., Esatbeyoglu, T.
    Journal: BMC Plant Biology (2024)
Mineral composition modulates Erwinia amylovora resistance in pear based on path analysis
  • Authors: Mertoğlu, K., Evrenosoğlu, Y., Akkurt, E., Yeşilbaş, M.F., Gülmezoğlu, N.
    Journal: European Journal of Plant Pathology (2024)
Preharvest Salicylic Acid and Oxalic Acid Decrease Bioactive and Quality Loss in Blackberry (cv. Chester) Fruits during Cold Storage
  • Authors: Erbas, D., Mertoğlu, K., Eskimez, I., Kaki, B., Esatbeyoglu, T.
    Journal: Journal of Food Biochemistry ( 2024)
Maternal Environment and Priming Agents Effect Germination and Seedling Quality in Pitaya under Salt Stress
  • Authors: Kenanoğlu, B.B., Mertoğlu, K., Sülüşoğlu Durul, M., Korkmaz, N., Çolak, A.M.
    Journal: Horticulturae (2023)
Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
  • Authors: Akkurt, E., Mertoğlu, K., Evrenosoğlu, Y., Alpu, Ö.
    Journal: Erwerbs-Obstbau (2023)

 

 

 

Muhammad Wahab Hanif | Advanced Computing | Best Researcher Award

Dr. Muhammad Wahab Hanif | Advanced Computing | Best Researcher Award

PhD Scholar at Xian University of Science and Technology, China

Dr. Muhammad Wahab Hanif, a Pakistani national born on November 8, 1993, is currently a PhD candidate in Safety Information Systems and Engineering at Xi’an University of Science and Technology in China. Fluent in multiple languages, including English and Urdu, he has dedicated his academic and professional career to advancing technology in safety-critical environments, particularly in coal mining. His innovative approaches aim to enhance operational safety and efficiency through cutting-edge object detection methods.

🎓Profile

🌱 Early Academic Pursuits

Dr. Muhammad Wahab Hanif began his academic journey with a Bachelor of Computer Science from the Government College University in Faisalabad, Pakistan. His undergraduate thesis focused on developing an Online Test Conduction and Evaluation System (OTC&ES), showcasing his early interest in efficient technological solutions. He then pursued a Master’s degree in Computer Science at the University of Agriculture, Faisalabad, where he designed a smart poultry farm solution that leveraged cloud-based storage for environmental control, further solidifying his expertise in systems integration and automation.

🏢 Professional Endeavors

Currently a PhD candidate at Xi’an University of Science and Technology, Dr. Hanif’s research centers on enhancing safety in coal mining through advanced object detection methods. His experience includes serving as the Principal and Head of the Computer Science Department at Shiblee College and as Chief Technology Officer at Technolangs IT Training Institute, where he played key roles in shaping curriculum and fostering technical skills among students.

🔬 Contributions and Research Focus

Dr. Hanif’s dissertation, titled “Research on Advanced Object Detection Methods for Enhancing Safety in Coal Mines,” proposes innovative YOLO-based models tailored for underground environments. His notable models include YOLO-v4-LSAM for real-time object detection and SOD-YOLOv5s-4EL for enhanced accuracy in detecting small targets. These contributions not only advance the field of computer vision but also aim to significantly improve safety protocols in high-risk industrial settings.

🌍 Impact and Influence

The impact of Dr. Hanif’s research is profound, addressing critical challenges in object detection that can lead to improved safety measures for miners. His innovative approaches demonstrate a commitment to advancing technology in hazardous environments, highlighting the importance of real-time detection systems in preventing accidents and enhancing operational efficiency.

📚 Academic Cites

Dr. Hanif has contributed to several publications as both a first and co-author. His work is published in reputable journals, including IET Image Processing and the International Journal of Intelligent Systems and Applications in Engineering. These publications reflect his expertise and are increasingly cited within the academic community, underlining his influence on the field of safety information systems.

💻 Technical Skills

Dr. Hanif possesses a robust skill set that includes expertise in YOLO-based models, deep learning techniques, and embedded systems development. He is proficient in programming languages such as Python and C++, and he utilizes advanced software tools like PyTorch and MATLAB for data analysis and simulation. His technical abilities enable him to tackle complex challenges in object detection and environmental monitoring.

👩‍🏫 Teaching Experience

Dr. Hanif’s teaching experience includes significant leadership roles in academic institutions. As Principal of the Computer Science Department at Shiblee College, he influenced the next generation of tech professionals, imparting knowledge in computer science fundamentals and innovative technologies. His commitment to education is evident in his mentoring of students and guiding them through complex concepts in technology.

🌟 Legacy and Future Contributions

As Dr. Hanif approaches the completion of his PhD, he aims to continue his research in safety technologies, expanding applications beyond coal mining to other high-risk industries. His focus on developing efficient and reliable detection systems promises to contribute significantly to operational safety and efficiency in various fields. The legacy he builds will inspire future researchers and practitioners dedicated to advancing safety through technology.

📖Publication Top Notes

Surface Damage Detection Algorithm of Elevator Wire Rope based on YOLOv5s
  • Authors: Muhammad Wahab Hanif, Z., Bashir, R., Farooq, S.A., Khan, J., Sadiq, I.S.
    Publication Year: 2024
A lightweight object detection approach based on edge computing for mining industry
  • Authors: Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir
    Publication Year: 2024
A new network model for multiple object detection for autonomous vehicle detection in mining environment
  • Authors: Muhammad Wahab Hanif, Zhenhua Yu, Rehmat Bashir, Zhanli Li, Sardar Annes Farooq, Muhammad Usman Sana
    Publication Year: 2024
An innovative approach to enhance the safety of Elevator using steel cable damage detection model based on YOLO
  • Authors: Muhammad Wahab Hanif
    Publication Year: 2024
Improved particle swarm optimization based on blockchain mechanism for flexible job shop problem
  • Authors: Sana, M.U., Li, Z., Javaid, F., Hanif, M.W., Ashraf, I.
    Publication Year: 2023