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.

šŸ‘Øā€šŸŽ“Profile

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Early Academic Pursuits šŸŽ“

Md. Rajib Munshi began his academic journey at Jagannath University (JnU), Dhaka, where he earned his Bachelor of Science (B.Sc. Honā€™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 šŸ’¼

Md. Munshiā€™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 šŸ”¬

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 šŸŒ

Md. Munshiā€™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 šŸ“š

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. Munshiā€™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 šŸ”

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 šŸ“–

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 šŸš€

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 Ī±-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

 

 

Fekadu Muleta | Computational Methods | Editorial Board Member

Assist. Prof. Dr. Fekadu Muleta | Computational Methods | Editorial Board Member

Assistant professor (PhD) at Wolaita Sodo university, Ethiopia

Dr. Fekadu Muleta is an Assistant Professor in the Department of Chemistry at Adama Science and Technology University (ASTU), Ethiopia. With a PhD in Bioinorganic Chemistry, his research spans across synthesis, characterization, and biological applications of metal complexes. His academic journey includes a Master’s in Inorganic Chemistry from Bahir Dar University (BDU), where he also completed his Bachelor’s degree in Chemistry. Dr. Muleta has been actively involved in both teaching and research, contributing significantly to the fields of coordination chemistry, biochemistry, and biological chemistry. His scientific approach integrates molecular docking, antimicrobial testing, and the development of novel complexes for anti-cancer applications. His work has been published in several prestigious journals, and he continues to make strides in his area of expertise with a focus on natural product-based ligands.

šŸŽ“Profile

šŸ“š Early Academic Pursuits

Dr. Fekadu Muleta’s academic journey began with a strong foundation in Chemistry at Bahir Dar University (BDU), Ethiopia. His interest in chemistry was evident early on, earning him a Bachelor’s degree in Science Chemistry from BDU in 2007. Following his undergraduate studies, he pursued a Master’s degree in Inorganic Chemistry, specializing in coordination chemistry and biochemistry. Under the mentorship of Prof. Girma Kibatu, his thesis focused on public health issues, specifically analyzing iodine deficiency disorders and iodized salt consumption levels among school children in Amuma and Minjo Districts in Beneshangul Gumuz, Ethiopia. This research, conducted from 2010 to 2011, laid the groundwork for his later transition into research that integrates chemistry with biological applications.

šŸŽ“ Professional Endeavors

Dr. Muleta’s professional path took a decisive step forward with his appointment as an Assistant Professor at Adama Science and Technology University (ASTU). Here, he advanced his expertise in Bioinorganic Chemistry, Biochemistry, and Inorganic Chemistry. His Ph.D. dissertation, titled ā€œSynthesis, Characterization, and Molecular Docking Studies of Homoleptic and Heteroleptic Zinc(II), Copper(II), Nickel(II) Complexes of Semicarbazone and Thiosemicarbazone Derivative Ligands for Biological Applicationā€, was supervised by Prof. Tegene Desalegn. This work combined his deep interest in organic ligands, metal complexes, and their biological potential, an area where his academic and professional interests converge.

šŸ”¬ Contributions and Research Focus

Dr. Muletaā€™s research is a blend of synthetic chemistry, biological applications, and advanced analytical techniques. His primary research focuses on the synthesis and characterization of semicarbazone and thiosemicarbazone derivative organic ligands derived from natural products. He has extensively worked on metal complexes, such as zinc, copper, and nickel, exploring their potential as antimicrobial agents, free radical scavengers, and even anti-cancer compounds. In particular, his investigations into heteroleptic and homoleptic complexes have led to novel discoveries that contribute significantly to the understanding of bioinorganic chemistry. Furthermore, Dr. Muletaā€™s expertise in molecular docking studies offers a crucial link between theoretical chemistry and practical biological applications, a critical area for drug discovery.

šŸŒ Impact and Influence

Dr. Muleta has had a profound impact on both academic research and the scientific community, particularly in Ethiopia. Through his innovative studies on metal complexation and biological activity, he has contributed to the broader field of medicinal chemistry, with applications that may influence drug design, environmental monitoring, and health sciences. His publications in peer-reviewed journals, such as the Journal of Molecular Structure and the Journal of Chemistry, are a testament to his ability to push the boundaries of both synthetic chemistry and biochemistry.

šŸ“‘ Academic Citations

Dr. Muleta’s research has already garnered significant recognition in the academic community. Some of his highly cited publications include:

  1. Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone published in the Journal of Molecular Structure, 2022.
  2. Synthesis, molecular docking, and biological studies of novel heteroleptic Cu(II) and Zn(II) complexes of natural product-based semicarbazone derivatives published in 2023, which highlights his interdisciplinary approach integrating chemistry and biology.

These publications have established Dr. Muleta as a valuable contributor to the growing body of knowledge on bioinorganic chemistry and its biological applications, with the potential to lead to therapeutic advancements.

šŸ› ļø Technical Skills

Dr. Muletaā€™s technical expertise spans a range of sophisticated analytical techniques and platforms. His proficiency in advanced spectroscopy (e.g., Nuclear Magnetic Resonance (NMR), Infrared (IR), UV-Visible Spectroscopy), mass spectrometry, and X-ray Diffraction (XRD) allows him to accurately characterize chemical compounds at the molecular level. Additionally, he is skilled in Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), tools essential for studying the thermal properties of materials. His use of computational tools for molecular docking further complements his empirical research, providing a holistic approach to complex biological questions.

šŸ§‘ā€šŸ« Teaching Experience

As an Assistant Professor at Adama Science and Technology University, Dr. Muleta has had the privilege of shaping the next generation of chemists. He teaches courses related to inorganic chemistry, bioinorganic chemistry, and biochemistry, instilling in his students not only a deep understanding of the subject matter but also a passion for scientific discovery. His ability to translate complex concepts into digestible lessons has made him a respected educator, and his mentorship has inspired many students to pursue careers in research and academia. Dr. Muletaā€™s work in research and teaching goes hand-in-hand, as he involves his students in cutting-edge research projects, fostering an environment of hands-on learning.

šŸ”® Legacy and Future Contributions

Looking ahead, Dr. Muletaā€™s research trajectory promises further innovations in bioinorganic chemistry. He is well-poised to make significant strides in the synthesis of novel metal-based complexes with potential biological applications, particularly in the development of new drugs and antimicrobial agents. His work on crystal growth and solid-state chemistry is expected to contribute to material science, while his continued collaboration with international research communities will expand his global influence.

Top Noted PublicationsšŸ“–

Synthesis, In Silico, and Biological Applications of Novel Heteroleptic Copper (II) Complex of Natural Product-Based Semicarbazone Ligands
  • Journal: Journal of Chemistry
    Authors: Fekadu Muleta, Tegene Desalegn, Marcelino Maneiro
    Year: 2022
Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone
  • Journal: Journal of Molecular Structure
    Authors: Fekadu Muleta
    Year: 2022
Synthesis, In vitro Biological Studies of novel Homoleptic Ni(II) and Zn(II) Complexes of Thiosemicarbazide Derivative ligand
  • Journal: Chemistry and Materials Research
    Authors: Fekadu Muleta
    Year: 2022

 

 

 

 

Himanshu Kumar | Computational Methods | Editorial Board Member

Dr. Himanshu Kumar | Computational Methods | Editorial Board Member

Adjunct Professor at School of Physics, Damghan University, Iran

Dr. Himanshu Kumar is an experienced physicist with over 15 years of teaching expertise. With a PhD in Physics from Jamia Millia Islamia University, and double master’s degrees in Physics and Information Technology, Dr. Kumar combines a deep understanding of both theoretical and applied sciences. He is currently affiliated with the School of Physics, Damghan University, Iran, and holds an adjunct professor role at Delhi Technology University, India. Throughout his career, Dr. Kumar has taught a wide range of courses across Physics, Mathematics, and Computer Science at various universities, consistently earning excellent student evaluations. His teaching style is highly interactive, ensuring that each student, regardless of their academic level, comprehends the subject matter thoroughly. Additionally, Dr. Kumar has contributed to research and academic mentorship, with multiple publications in international journals and participation in various conferences.

ProfilešŸŽ“

Early Academic Pursuits šŸŽ“

Dr. Himanshu Kumarā€™s academic journey began with his foundational studies in Physics, earning his BSc in Physics from Vinoba Bhave University in Jharkhand, India, in 1996. He further honed his expertise by completing his MSc in Physics (2004) and a PhD in Physics from Jamia Millia Islamia University, Delhi (2014). Dr. Kumar also pursued an interdisciplinary path by obtaining a PGDITM (Post Graduate Diploma in Information Technology and Management) and an Advanced Diploma in Information Systems from Oxford Software Institute, Delhi. This unique combination of Physics, Information Technology, and Management laid the groundwork for his later contributions to both academia and research.

Professional Endeavors šŸ’¼

Dr. Himanshu Kumar has a distinguished career spanning over 15 years in academia. After completing his PhD, he has served in various esteemed positions, currently as an Adjunct Professor at Delhi Technology University and affiliated with the School of Physics, Damghan University, Iran. He has also held key roles as an Assistant Professor at prominent institutions such as Delhi University, NSUT University, and Lingaya University. His teaching career spans a wide array of courses in Physics, Mathematics, and Computer Science, where he has received excellent evaluations from students, a testament to his dedication and interactive teaching style. Dr. Kumar’s ability to connect complex scientific concepts with students of varying academic levels has earned him great respect in the academic community.

Contributions and Research Focus šŸ”¬

Dr. Himanshu Kumarā€™s primary research interests lie in the computational aspects of physics, especially focusing on quantum gravity, cosmology, and astrophysics. His research has involved modeling complex physical systems, both analytically and numerically. He has published extensively in high-impact journals, contributing to topics such as general relativity, black hole thermodynamics, and quantum corrections in charged BTZ black holes. His work in computational physics bridges theoretical understanding with practical applications, making significant strides in the modeling of astrophysical systems and quantum phenomena. Dr. Kumar has presented his findings at international conferences and has served as a mentor to young researchers through summer research programs, guiding them through cutting-edge topics in theoretical physics.

Impact and Influence šŸŒ

Dr. Himanshu Kumar has made substantial contributions to the fields of astrophysics, cosmology, and computational physics. His research on quantum gravity and general relativity has had significant implications for our understanding of the universeā€™s most fundamental processes. In addition to his research contributions, Dr. Kumar has greatly impacted the academic growth of his students, guiding them not only in traditional coursework but also in practical research mentorship. His Summer Research Mentorship Award from Delhi University stands as a recognition of his commitment to student development and the advancement of theoretical physics. His active participation in conferences and workshops further solidifies his role as a key contributor to the scientific community, bringing innovative ideas to the forefront of astrophysics and cosmology.

Academic Cites šŸ“š

Dr. Himanshu Kumarā€™s work is widely recognized in the scientific community, with his papers being frequently cited in research related to general relativity, astrophysics, and quantum mechanics. Some of his most cited works include his contributions to Gen. Rel. Grav. and Grav. Cosmol., where his research on higher-order quantum corrections in charged BTZ black holes is poised to significantly influence future studies in black hole thermodynamics. Dr. Kumarā€™s work not only pushes the boundaries of theoretical physics but also bridges gaps between different fields, such as information technology and physics, creating an interdisciplinary research environment that is both innovative and impactful.

Technical Skills šŸ’»

Dr. Himanshu Kumar possesses a rich technical skill set that spans both Physics and Information Technology. His expertise in computational physics has led him to master various programming languages and simulation tools, such as C++, Python, Fortran, and SciLab. Additionally, he is proficient in using Gnuplot and other computational software for data analysis and visualization. Dr. Kumarā€™s dual expertise in Physics and IT enables him to model complex physical systems, apply advanced numerical methods, and design simulations that aid in understanding theoretical phenomena. His ability to integrate computational methods into his research is a distinguishing feature of his academic profile.

Teaching Experience šŸ§‘ā€šŸ«

With over 15 years of experience, Dr. Himanshu Kumar has taught a diverse range of courses in Physics, Mathematics, and Computer Science at both the undergraduate and postgraduate levels. His teaching is characterized by an interactive style that focuses on ensuring each student fully understands foundational concepts before progressing to more advanced topics. He has taught Cosmology, Astrophysics, Wave Optics, Classical Mechanics, and Computational Physics, among other courses. Dr. Kumarā€™s commitment to his students is reflected in his consistently high student evaluations, earning him a reputation as a dedicated and effective educator. His innovative approach to teaching and his ability to simplify complex topics have inspired students to pursue careers in physics and computational science.

Legacy and Future Contributions šŸ”®

Dr. Himanshu Kumar’s legacy is built on his interdisciplinary approach to teaching and research. His contributions to astrophysics, cosmology, and computational physics have paved the way for further exploration of quantum gravity and black hole thermodynamics. As he continues his work at Damghan University and Delhi Technology University, Dr. Kumar aims to inspire future generations of physicists and researchers. His commitment to student mentorship, evidenced by his numerous summer research programs, and his ongoing publications, ensure that his influence on the field will continue to grow. His work not only advances theoretical physics but also bridges the gap between scientific disciplines, offering new perspectives on how physics and information technology can be integrated to solve complex, real-world problems.

Top Noted PublicationsšŸ“–

Method Facilitating Wired and Wirelessly Charging Batteries of Electric Vehicles (EVS) via Deployment of Smart Charging Plug and Socket for Autonomously Locating and Engaging Plug-Socket Connector in Context of Smart Charging System
  • Journal: Patent
    Author: Dr. Himanshu Kumar
    Year: 2021
The Ageing Problem of Twins in Reissnerā€“Nordstrƶm Spacetime
  • Journal: Modern Physics Letters A
    Author: Saurabh, Himanshu Kumar
    Year: 2020
    DOI: 10.1142/s021773232050008x
Self-interacting Cold Dark Matter: A New Jeans Theory Based Model
  • Journal: Gravitation and Cosmology
    Author: Himanshu Kumar
    Year: 2015
    DOI: 10.1134/s0202289315040106
Feebly Self-Interacting Cold Dark Matter: New Theory for the Core-Halo Structure in GLSB Galaxies
  • Journal: ArXiv
    Author: Himanshu Kumar, Sharf Alam
    Year: 2013
    DOI: 10.48550/ARXIV.1307.7469
Surface Tension with Normal Curvature in Curved Space-Time
  • Journal: General Relativity and Gravitation
    Author: Himanshu Kumar, Sharf Alam, Suhail Ahmad
    Year: 2013
    DOI: 10.1007/s10714-012-1464-y

 

 

 

Blessing Guembe | Advanced Computing | Best Researcher Award

Dr. Blessing Guembe | Advanced Computing | Best Researcher Award

PHD at Covenant University, Nigeria

Blessing Guembe is a Research Fellow at the University of Milan, specializing in Explainable AI, Federated Learning, misinformation, privacy, and security. With a Ph.D. in Computer Science from Covenant University, his notable projects include federated learning for asthma prediction and deep learning techniques for malaria diagnosis. He has extensive experience as a senior software developer, having led significant projects at Teesoft Innovations and Reconsoft Nigeria Limited. His technical expertise spans AWS, Azure, Google Cloud, Python, Java, and DevOps, making significant contributions to data analytics and privacy-preserving technologies. Advanced Computing

Professional Profiles

Strengths

Research Contributions:

Explainable AI and Federated Learning: Blessing’s research focuses on cutting-edge areas like explainable AI, federated learning, misinformation, privacy, and security. These topics are highly relevant and impactful in today’s technological landscape.
Publications: Blessing has several notable publications, including reviews on AI-driven cyberattacks and trustworthy machine learning approaches. These publications indicate a strong research output and expertise in cybersecurity and AI.
Projects: Active participation in the KURAMi Project at the University of Milan under Prof. Giovanni Livraga showcases involvement in significant research projects. Advanced Computing

Professional Experience

Research Fellow: Current role at the University of Milan, working on privacy and data protection in social media, demonstrates a focus on real-world applications of research.
Research Assistant: Experience at Covenant University, working on federated learning for medical applications and homomorphic encryption, highlights the practical and impactful nature of Blessingā€™s work.
Software Development: Extensive experience as a senior software developer at Teesoft Innovations and Reconsoft Nigeria Limited, leading large-scale projects and mentoring junior developers. This indicates strong leadership and technical skills. Advanced Computing

Education

Doctor of Philosophy in Computer Science: Obtained from Covenant University in 2023, reflecting advanced knowledge and research capabilities in the field. Advanced Computing

Technical Skills

Core Competence: Proficiency in various programming languages, cloud platforms, and data science tools (AWS, Azure, Google Cloud Platform, Python, Java, Machine Learning, Deep Learning, XAI, Federated Learning, Privacy-Preserving techniques).
Interdisciplinary Skills: Ability to integrate AI, cybersecurity, and data privacy into research and development projects.

Areas for Improvement

Diversity of Publications:

While the existing publications are strong, increasing the diversity in terms of co-authors and exploring different journals and conferences could enhance visibility and impact. Advanced Computing

Collaborations:

Engaging in more international collaborations and interdisciplinary projects could broaden the scope and application of Blessingā€™s research.

Grants and Funding:

Securing more research grants and funding would not only support Blessingā€™s work but also demonstrate the ability to attract resources for innovative projects.

Community Engagement:

Increasing involvement in academic and professional communities, such as presenting at conferences, participating in workshops, and contributing to professional societies, could further establish Blessing as a thought leader in the field.

Publications

  1. Federated Bayesian Optimization XGBoost Model for Cyberattack Detection in Internet of Medical Things, Publication date: 2024.
  2. A Deep Learning Approach For Cassava Leaf Disease Diagnosis, Publication date: 2023.
  3. Explainable artificial intelligence, the fourth pillar of zero trust security, Publication date: 2022.
  4. Machine Learning Techniques for Automatic Long Text Examination in Open and Distance Learning, Publication date: 2022.
  5. The Emerging Threat of Ai-driven Cyber Attacks: A, Publication date: 2022.
  6. Multivariate and Univariate Anomaly Detection in Machine Learning: A Bibliometric Analysis, Publication date: 2022.
  7. Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review, Publication date: 2022.
  8. A machine learning prediction of automatic text based assessment for open and distance learning: a review,Ā Publication date: 2021.
  9. The emerging threat of ai-driven cyber attacks: A review, Publication date: 2022.

 

Conclusion

Blessing Guembe is a strong candidate for the Best Researcher Award due to their significant contributions to explainable AI, federated learning, and cybersecurity. The combination of advanced research, impactful publications, extensive professional experience, and robust technical skills positions Blessing as an influential researcher in the field. Advanced Computing

By enhancing the diversity of publications, seeking more collaborations, securing additional grants, and engaging with the academic community, Blessing could further solidify their standing and potential for future contributions. Overall, Blessingā€™s profile is highly suitable for consideration for the Best Researcher Award.

 

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