Mr. Nadir Murtaza | Computational Nanotechnology Awards | Best Researcher Award

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Mr. Nadir Murtaza | Computational Nanotechnology Awards | Best Researcher Award

Mr. Nadir Murtaza | Computational Nanotechnology Awards | Best Researcher Award

Nadir Murtaza, born on April 20, 1998, in Karak, Pakistan, is a dedicated civil engineer specializing in water resource and irrigation engineering. Currently pursuing a Ph.D. in Civil Engineering at the University of Engineering and Technology (UET) Taxila, his research focuses on innovative solutions in hydraulic engineering, specifically targeting flood risk management and erosion control. Nadir brings an impressive track record of academic and research accomplishments, having completed both his M.Sc. and B.Sc. in Civil Engineering from UET Taxila. With a proactive approach to learning, he has contributed significantly to experimental studies in fluid dynamics and sediment transport. He currently serves as a lecturer and heads multiple committees at the Swedish College of Engineering and Technology in Wah Cantt. Nadirā€™s work aims to bridge practical civil engineering applications with sustainable environmental management solutions, making him a valuable asset in hydraulic and environmental engineering

Professional Profile:

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Suitability of Nadir Murtaza for the Best Researcher Award:

Nadir Murtaza is an outstanding candidate for the Best Researcher Award, particularly in the field of civil engineering with a specialization in water resource and hydraulic engineering. His academic achievements, including a B.Sc. and M.Sc. from the University of Engineering and Technology (UET) Taxila, demonstrate a strong foundational knowledge and commitment to advancing the discipline. Currently pursuing a Ph.D., Nadir’s research focuses on innovative flood risk management and erosion control solutions, which are crucial areas of study in an era of increasing climate change challenges.

šŸŽ“Education:

Nadir Murtaza is advancing his education in civil engineering with a Ph.D. at UET Taxila, focusing on water resource management and sustainable hydraulic solutions. He holds a Masterā€™s degree in Civil Engineering from UET Taxila, where his coursework included specialized subjects like hydraulic structures, groundwater hydrology, and river engineering. His M.Sc. thesis centered on optimizing hybrid defense systems for hill torrent management, showcasing his expertise in experimental hydraulic research. Prior to this, he earned a B.Sc. in Civil Engineering from UET Taxila, with a thesis investigating local scouring at broad-crested trapezoidal weirs. His foundational courses covered diverse topics such as structural analysis, environmental engineering, and fluid mechanics, providing him with comprehensive knowledge across civil engineering disciplines. His academic journey is supported by the Higher Education Commission’s Need-Based Scholarship, reflecting his commitment to academic excellence and professional growth in water resources and civil engineering.

šŸ¢Professional Experience:

Nadir Murtaza has a robust professional background in civil engineering, encompassing both academia and industry. Currently, he serves as a lecturer at the Swedish College of Engineering and Technology in Wah Cantt, Pakistan, where he also heads the Office of Research, Innovation & Commercialization, Industrial Advisory Board, and Departmental Quality Assurance Committee. Previously, he worked as a Site Engineer at SKB in Pindigheb, where he gained valuable field experience. In his teaching role, Nadir actively contributes to student mentorship through various committees, including the Final Year Project Committee and the Students Counseling Committee. His professional focus on quality assurance and student engagement underscores his commitment to advancing engineering education and practice. Nadirā€™s dual experience in teaching and fieldwork enhances his comprehensive understanding of civil engineering applications, enabling him to translate theoretical knowledge into practical, real-world projects in water resources and hydraulic engineering.

šŸ…Honors and Awards:

Nadir Murtaza has been recognized for his academic dedication and commitment to civil engineering. He was awarded the esteemed Higher Education Commission (HEC) Need-Based Scholarship during his B.Sc. studies at UET Taxila, reflecting both his academic merit and financial need. This scholarship underscored his potential to excel in civil engineering, providing him the support to pursue a rigorous academic program. Nadir has also actively participated in professional conferences, presenting research at events like the 2nd International Conference on Advances in Civil and Environmental Engineering (ICACEE) held at UET Taxila in 2023. These honors not only highlight his dedication to academic growth but also affirm his contributions to the field of hydraulic engineering. Nadir’s achievements are a testament to his commitment to innovative research and sustainable engineering solutions, further enhancing his professional profile in the civil engineering community.

šŸ”¬Research Focus :

Nadir Murtazaā€™s research is primarily focused on hydraulic engineering with an emphasis on sustainable water management practices. His key areas of interest include flood risk management, sediment transport, hydraulic structures, and the integration of artificial intelligence in hydraulic engineering. His research explores innovative techniques to mitigate scouring around bridge abutments and improve fluid dynamics in open channels, particularly in response to extreme flood conditions. Nadirā€™s work on utilizing vegetation and industrial by-products as eco-friendly countermeasures exemplifies his commitment to environmentally sustainable engineering practices. Through experimental approaches and computational analysis, he aims to optimize hydraulic structures to withstand adverse conditions while minimizing ecological impact. His research not only contributes valuable insights into fluid mechanics but also offers practical solutions for infrastructure resilience and environmental preservation, positioning him as an emerging expert in civil and hydraulic engineering.

Publication Top Notes:

  1. Advanced Prediction Models for Scouring Around Bridge Abutments: A Comparative Study of Empirical and AI Techniques
  2. Impact of Dyke and Vegetation on Fluid Force and Moment Reduction Under Sub and Supercritical Flow Conditions
  3. Effectiveness of Collars and Hooked-Collars in Mitigating Scour around Different Abutment Shapes
  4. Computational Analysis of Fluid Dynamics in Open Channel with the Vegetated Spur Dike
  5. Analysis of Hydraulic Jump and Energy Dissipation in Flow Through Emergent Vegetation Under Varying Froude Numbers

 

 

Dr. Waleed Hamanah | Computational Nanotechnology Awards | Best Researcher Award

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Dr. Waleed Hamanah | Computational Nanotechnology AwardsĀ  | Best Researcher Award

Dr. Waleed Hamanah , King Fahd University of Petroleum and Minerals , Saudi Arabia

Dr. Waleed Mohammed Abdo Hamanah is a Yemeni researcher and academic currently serving as a Research Engineer III and Assistant Professor at the Applied Research Center for Metrology, Standards, and Testing at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He holds a Ph.D. in Electrical Engineering with a focus on advanced heliostat drive systems for concentrated solar power from KFUPM, and an M.Sc. in Power and Control from the same institution. His research interests encompass renewable energy systems, power electronics, and energy performance modeling. Dr. Hamanah has published over 40 papers in peer-reviewed journals and conferences, receiving notable recognition for his work, including a Best Paper Award in 2023. He has extensive teaching experience in electrical engineering and has contributed significantly to both theoretical and practical aspects of his field.

Professional Profile:

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Suitability for Best Researcher Award: Waleed Mohammed Abdo Hamanah

Dr. Waleed Mohammed Abdo Hamanah is a distinguished candidate for the Best Researcher Award due to his exceptional contributions and achievements in the field of electrical engineering and renewable energy. His qualifications and experience highlight a strong blend of academic excellence, innovative research, and impactful applications in power systems and renewable energy technologies.

šŸŽ“Education:

Dr. Waleed Mohammed Abdo Hamanah earned his Ph.D. in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in September 2017. His doctoral thesis focused on the “Advanced Heliostat Electrical Drive System for Concentrated Solar Power Tower,” where he developed advanced solar drive systems, fabricated printed circuit boards (PCBs), and implemented prototypes using Silicon Carbide (SiC) semiconductors. He also holds a Masterā€™s degree in Electrical Engineering (Power and Control) from KFUPM, awarded in May 2016. His master’s thesis, titled “Modelling, Simulation, and Energy Performance of VFD and ON/OFF HVAC Systems,” involved developing simulation models, coordinating with industry, and validating results for energy efficiency and economic analysis. Dr. Hamanah completed his Bachelorā€™s degree in Electrical Engineering (Power and Machines) at Sanaā€™a University, Yemen, in June 2008, graduating with an overall GPA of 82.69% and ranking second in his class.

šŸ¢Work Experience:

Dr. Waleed Mohammed Abdo Hamanah currently serves as a Research Engineer III and Assistant Professor at the Applied Research Center for Metrology, Standards, and Testing at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, since September 2023. In this role, he leads research initiatives in metrology, standards, and testing, and contributes to applied research projects. He will also be teaching the course “EE 482 ā€“ Electric Machines” in the Electrical Engineering Department at KFUPM from January to June 2024. Prior to this, Dr. Hamanah was a Postdoctoral Researcher at the Interdisciplinary Research Center for Renewable Energy and Power Systems at KFUPM from April 2022 to August 2023, where he worked on various renewable energy and power systems research projects. His previous roles include serving as a Teaching Assistant in the Electrical Engineering Department at KFUPM from January 2017 to January 2021, where he taught courses such as “EE 206 ā€“ Introduction to Electrical Systems and Computations” and “EE 462 ā€“ Electrical Machines.” He also worked as a Lab Assistant at the High Voltage Laboratory of the Research Institute at KFUPM from September 2016 to May 2017, and as a Lab Instructor for “EE 462 ā€“ Electrical Machines” at KFUPM from September 2014 to December 2014. Earlier in his career, Dr. Hamanah taught various courses, including Electrical Circuits I & II and Engineering Drawing, at Taiz University in Yemen from September 2008 to June 2012.

šŸ†Awards and Recognitions:

Dr. Waleed Mohammed Abdo Hamanah received the Best Paper Award in 2023 from King Fahd University of Petroleum and Minerals (KFUPM) in recognition of his outstanding research contributions in his field. This accolade highlights his significant impact and excellence in academic and practical research.

Publication Top Notes:

Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

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Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt MujwarĀ  , Chitkara University, Punjab , India

Dr. Somdutt Mujwar is a distinguished Computational and Medicinal Chemist renowned for his extensive contributions to drug design and discovery. Currently an Associate Professor at Chitkara College of Pharmacy, Chitkara University, India, he applies advanced computational techniques and machine learning in pharmaceutical research. With a robust academic background including a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Dr. Mujwar has made significant strides in computational drug repurposing and genomics-driven drug target identification. His research has been widely published in reputable journals, contributing to advancements in understanding molecular interactions and developing novel therapeutic strategies. Dr. Mujwar’s expertise extends to molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies, reflecting his commitment to leveraging computational tools for innovative drug development.

Professional Profile:

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Education:

Dr. Somdutt Mujwar is an accomplished Computational and Medicinal Chemist with a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Bhopal, India. He currently holds the position of Associate Professor at Chitkara College of Pharmacy, Chitkara University, where he leads research applying advanced computational techniques and machine learning in pharmaceutical sciences. Dr. Mujwar’s academic journey includes a Master of Pharmacy in Pharmaceutical Chemistry from Rajiv Gandhi Technical University and a Bachelor of Pharmacy from Barkatullah University, both in India.

Work Experience:

His professional experience spans significant roles such as Assistant Professor at the Institute of Pharmaceutical Research, GLA University, Mathura, where he focused on computational drug repurposing and established a computational drug design laboratory. Previously, as a Doctoral Research Fellow at Maulana Azad National Institute of Technology, he conducted pioneering research on riboswitches as drug targets. Dr. Mujwar’s research contributions have been published extensively in reputable journals, advancing the fields of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies. His work underscores a deep commitment to leveraging computational tools for innovative drug discovery and development.

Publication Top Notes:

  1. Doxorubicinā€”an agent with multiple mechanisms of anticancer activity
    • Cited by 98
    • Year: 2023
    • Journal: Cells 12 (4), 659
  2. Repurposing metocurine as main protease inhibitor to develop novel antiviral therapy for COVID-19
    • Cited by 68
    • Year: 2020
    • Journal: Structural chemistry 31 (6), 2487-2499
  3. A retrospect on antimicrobial potential of thiazole scaffold
    • Cited by 63
    • Year: 2020
    • Journal: Journal of Heterocyclic Chemistry 57 (6), 2304-2329
  4. Molecular Docking and In Silico Cogitation Validate Mefenamic Acid Prodrugs as Human Cyclooxygenase-2 Inhibitor
    • Cited by 63
    • Year: 2019
    • Journal: ASSAY and Drug Development Technologies 17 (6)
  5. Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2
    • Cited by 57
    • Year: 2021
    • Journal: Computers in Biology and Medicine 136, 10474

 

 

Prof. THOMAS MAVROMOUSTAKOS | Computational Nanotechnology | Outstanding Scientist Award

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Prof. THOMAS MAVROMOUSTAKOS | Computational Nanotechnology | Outstanding Scientist Award

Prof. THOMAS MAVROMOUSTAKOS , National and Kapodistrian University of Athens , Greece

Dr. Thomas Mavromoustakos is a distinguished chemist renowned for his groundbreaking contributions to medicinal chemistry and spectroscopy. With a Bachelor’s degree from the Chemistry Department at NKUA and MSc/PhD in Medicinal Chemistry from the University of Connecticut, USA, he has focused his research on designing novel drugs targeting various diseases, employing a wide array of physical chemical methodologies. His expertise spans Solid State Nuclear Magnetic Resonance, High Resolution Nuclear Magnetic Resonance, X-ray diffraction, Raman Spectroscopy, and more. Dr. Mavromoustakos is also involved in authenticity studies of beverages and foods, utilizing advanced spectroscopic techniques. He has an extensive teaching experience, offering courses and labs in organic chemistry, molecular modeling, and NMR spectroscopy at various academic institutions

Professional Profile:

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šŸŽ“ Education:

Dr. Thomas Mavromoustakos completed his Bachelor’s degree in Chemistry from NKUA in 1980, followed by pursuing an MSc in Medicinal Chemistry at the University of Connecticut, USA, in 1988. Continuing his academic journey, he attained a PhD in Medicinal Chemistry from the University of Connecticut, USA, in 1990. These educational milestones laid a solid foundation for his distinguished career in research and academia, enabling him to specialize in the design of novel drugs and contribute significantly to the fields of chemistry and pharmacology

šŸ”¬ Research Focus:

Dr. Mavromoustakos specializes in designing novel drugs for various diseases, employing physical chemical methodologies such as Solid State Nuclear Magnetic Resonance, High Resolution Nuclear Magnetic Resonance, Conformational Analysis, Differential Scanning Calorimetry, X-ray diffraction, Raman Spectroscopy, 3D-QSAR studies, and Docking studies.

šŸ‘Øā€šŸ« Teaching Experience:

Dr. Mavromoustakos has taught numerous courses and laboratory sessions in various institutions, covering topics such as Molecular Modeling, Organic Chemistry, Polymers, Oenology, Food Chemistry, and Pharmacology.With his expertise and dedication, Dr. Mavromoustakos has made significant contributions to the fields of chemistry and pharmacology, shaping the future of drug design and analysis.

Publication top Notes:

 

 

Dr. Satendra Singh | Computational Nanotechnology Awards | Best Researcher Award

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Dr. Satendra Singh | Computational Nanotechnology Awards | Best Researcher Award

Dr. Satendra Singh , Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj , India

Dr. Satendra Singh, born on July 5, 1985, is an Assistant Professor (Selection Grade) at the Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Prayagraj, Uttar Pradesh, India. He holds a B. Pharma degree from IFTM, Moradabad, an M. Tech. in Bioinformatics from IIIT Allahabad, and a Ph.D. in Bioinformatics from SHUATS. Dr. Singh has been with SHUATS since August 2006 and served as the In-charge of his department from July 2013 to July 2016. His research focuses on bioinformatics, with several publications in reputed journals, including recent work on functional annotation of Cry1Ac protein in Bt cotton and molecular modeling of PAD4 in Solanum lycopersicum

Professional Profile:

Scopus

šŸŽ“Academic Qualifications:

Dr. Satendra Singh obtained his Ph.D. in Bioinformatics from the Sam Higginbottom Institute of Agriculture, Technology and Sciences in 2013. Prior to his doctoral studies, he completed his M. Tech. in Information Technology (Bioinformatics) from IIIT-Allahabad in 2006. His academic journey began with a Bachelor’s degree in Pharmacy from IFTM, Moradabad, in 2004. This multidisciplinary educational background equipped him with a strong foundation in pharmaceutical sciences and information technology, paving the way for his specialized focus in bioinformatics.

šŸ‘Øā€šŸ« Work Experience:

Dr. Satendra Singh has been serving as an Assistant Professor (Selection Grade) at Sam Higginbottom University of Agriculture, Technology and Sciences since August 4th, 2006. During his tenure, he has demonstrated a commitment to excellence in teaching and research in the field of computational biology and bioinformatics. From July 2013 to July 2016, he also held the responsibility of In-charge of the Department of Computational Biology & Bioinformatics at SHUATS, where he played a pivotal role in advancing the department’s initiatives and fostering academic growth.

Publication Top Notes:

  1. An in silico analysis of deleterious single nucleotide polymorphisms and molecular dynamics simulation of disease linked mutations in genes responsible for neurodegenerative disorder
    • Pandey, S., Dhusia, K., Katara, P., Singh, S., Gautam, B.
    • Journal of Biomolecular Structure and Dynamics, 2020
    • 9 Citations
  2. Exploring Medicinal Plant Legacy for Drug Discovery in Post-genomic Era
    • Singh, S., Singh, D.B., Singh, S., … Ramteke, P.W., Misra, K.
    • Proceedings of the National Academy of Sciences India Section B – Biological Sciences, 2019
    • 27 Citations
  3. In silico screening of deleterious single nucleotide polymorphisms (SNPs) and molecular dynamics simulation of disease associated mutations in gene responsible for oculocutaneous albinism type 6 (OCA 6) disorder
    • Kumar, R., Bansal, A., Shukla, R., … Singh, S., Gautam, B.
    • Journal of Biomolecular Structure and Dynamics, 2019
    • 14 Citations
  4. Genome-wide identification and comprehensive analysis of Excretory/Secretory proteins in nematodes provide potential drug targets for parasite control
    • Gahoi, S., Singh, S., Gautam, B.
    • Genomics, 2019
    • 9 Citations
  5. Genome-wide essential gene identification in pathogens
    • Gautam, B., Goswami, K., Singh, S., Wadhwa, G.
    • Current trends in Bioinformatics: An Insight, 2018
    • 1 Citation