Month: February 2024

Education:

2017: Specialist in omics techniques (molecular microbiology) and Bioinformatics/Biostatistics, University of Free State, South Africa. 2013: Ph.D. in Geology and Environmental Management of Mineral Resource: Geomicrobiology and Biogeochemistry, International University of Andalucía and University of Huelva, Spain (Cum Laude). 2010: Master in Instrumental Techniques in Chemistry, University of Huelva, Spain.

Professional Experience:

12/2019-Present: Group Leader, Applied and Environmental Microbiology Group, University of the Free State, South Africa. 7/2017-2019: Senior Researcher, SAENSE PLATFORM, University of the Free State, South Africa. 6/2013-5/2017: Post-Doctoral-Research Associate, SAENSE PLATFORM, University of the Free State, South Africa.

Academic Recognition:

International Award in the area of science and technology for the Ph.D. study, 2012. Society Memberships: ICDP, South African Society for Microbiology, Geochemical Society, Water Institute of Southern Africa. Grant Reviewing: Regular reviewer for National Research Foundation (NRF, South Africa) since 2014.

Research Focus

Dr. Julio Castillo’s research primarily focuses on environmental microbiology, biogeochemistry, and the sustainable management of mine waste. His work investigates the role of indigenous microbial communities in mobilizing potentially toxic elements and rare-earth elements from alkaline mine waste. Additionally, he explores bacterial community shifts in acid mine drainage treatment using innovative systems, such as the barium carbonate disperse alkaline substrate. Dr. Castillo delves into natural biodegradation processes of cyanide in gold tailings environments and assesses the effects of pH and temperature on sulfate-reducing bacteria. His diverse research portfolio spans the realms of microbiology, geochemistry, and environmental science, contributing valuable insights for sustainable resource management.

Publications (TOP NOTES):

Microbial recovery of rare earth elements, Cited by 4, Publication date: 2022/1/15.

Environmental and geochemical characterization of alkaline mine wastes from Phalaborwa (Palabora) Complex, South Africa, Cited by 6, Publication date: 2021/5/1.

Bioaccessibility and human exposure to metals in urban soils (Huelva, SW Spain): Evaluation by in vitro gastric extraction, Cited by 9, Publication date: 2021/1/27.

Mine waste from carbonatite deposits as potential rare earth resource: Insight into the Phalaborwa (Palabora) Complex, Cited by 11, Publication date: 2022/1/1.

Nitrate water contamination from industrial activities and complete denitrification as a remediation option, Cited by 36, Publication date: 2022/3/3

Biomineralization and bioaccumulation of europium by a thermophilic metal resistant bacterium, Cited by 50, Publication date: 2019/1/30.

Passive elimination of sulfate and metals from acid mine drainage using combined limestone and barium carbonate systems, cited by 61, Publication date: 2018/5/1.

Anaerobic reduction of europium by a Clostridium strain as a strategy for rare earth biorecovery, cited by 19, Publication date: 2019/10/4.

Mine drainage remediation using barium carbonate dispersed alkaline substrate, cited by 1, Publication date: 2019/4/2

New reductive interactions of rey by thermus Scotoductus sa-01 and Clostridium sp, cited by 1, Publication date: 2017

Marina Ivasic-Kos | computer vision | Research and Innovation Citation Excellence Award

Posted on 07/02/202407/02/2024 by ScienceFather

Prof Dr. Marina Ivasic-Kos, computer vision, Research and Innovation Citation Excellence Award

Professor at the University of Rijeka, Croatia

Dr. Marina Ivašić-Kos is a renowned computer scientist and professor at the University of Rijeka, Croatia. With expertise in computer vision and deep learning, she specializes in applications such as person detection in search and rescue, thermal object detection, and activity-based player recognition. Dr. Ivašić-Kos has led various research projects, published extensively in reputable journals, and holds key positions in academic committees. Her impactful contributions include innovative models for image annotation, showcasing a multi-faceted approach integrating machine learning and fuzzy-knowledge representation schemes. As a distinguished figure in the field, she continues to advance the frontiers of intelligent systems and pattern analysis.

Professional Profiles:

Education:

Ph.D. degree in Computer Science (2002-2012): Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb M.Sc. degree in Information Science (1997-2001): Faculty of Philosophy, University of Zagreb, Department of Information Science, Zagreb.

Work Experience:

Present Employer: Faculty of Informatics and Digital Technologies, University of Rijeka, and Centre for Artificial Intelligence and Cybersecurity, University of Rijeka Position: Professor Head of Laboratory for Pattern Recognition and Soft Computing Head of Laboratory for Computer Vision, Virtual and Augmented Reality at the Centre for Artificial Intelligence, University of Rijeka Responsibilities: Teaching on postgraduate, graduate, and Doctoral Studies in various subjects Project leader and researcher in computer vision scientific projects President of the Publishing Committee at the Department of Informatics Member of various university councils and committees.

Training:

Year 22.-26.7.2019: Place of training: Warsaw, Poland Training on Deep Learning by IRDTA Brussels, London Year 4.-6. 9.2017: Place of training: Ionic Center, Athens, Greece Training on Integration in Cognitive Robotics by IV&L Net Training School Year 2016: Place of training: Las Palmas De Gran Canaria, Spain Training on Biometry and de-identification by COST IC1206 2nd Training School Year 21.-24. 3. 2016: Place of training: University of Malta, Msida, Malta Training on Computer Vision and Deep Learning by The 2nd iV&L Net Summer School.

Technical skills and competencie

Computer vision, machine and deep learning, recognition and detection of objects, recognition of actions (Matlab, Keras, TesorFlow) – fuzzy systems, knowledge representation – programming, work on developing and implementing applications (Java, C++, Oracle) – design of IS projects (Agile, Scrum, UML).

Research Focus

Dr. Marina Ivašić-Kos specializes in the research areas of computer vision, image processing, and pattern analysis. Her work encompasses the development and application of deep learning techniques, particularly Convolutional Neural Networks (CNN), for tasks such as automatic person detection in search and rescue operations. Additionally, she has expertise in thermal object detection under challenging weather conditions using YOLO, and active player detection in handball scenes based on activity measures. Dr. Ivašić-Kos has contributed significantly to the field of image annotation, proposing innovative models such as a two-tier image annotation model with a multi-label classifier and fuzzy-knowledge representation scheme. Her research also extends to knowledge-based multi-layered image annotation systems, Bayesian classifiers, and fuzzy Petri net knowledge representation schemes.

Publications (TOP NOTES):

Analysis of Movement and Activities of Handball Players Using Deep Neural Networks, Cited by 7, Publication date: 2023/4/13.

Deep Learning Approach for Objects Detection in Underwater Pipeline Images, Cited by 12, Publication date: 2022/12/31.

Review and analysis of synthetic dataset generation methods and techniques for application in computer vision, Cited by 12, Publication date: 2023/1/30.

Thermal object detection in difficult weather conditions using YOLO, Cited by 197, Publication date: 2020/7/6.

Automatic person detection in search and rescue operations using deep CNN detectors, Cited by 93, Publication date: 2021/3/4.

An overview of Human Action Recognition in sports based on Computer Vision, Cited by 41, Publication date: 2022/6/1.

A new approach to dominant motion pattern recognition at the macroscopic crowd level, Cited by 31, Publication date: 2022/11/1.

Person Detection in thermal videos using YOLO, Cited by 25, Publication date: 2020

Tracking Handball Players with the DeepSORT Algorithm.,Cited by 24, Publication date: 2020/2.

Active player detection in handball scenes based on activity measures,. Cited by 22, Publication date: 2020/3/8

Umar Bacha | Global burden of diseases | Excellence in Citation Achievement Award

Posted on 06/02/202406/02/2024 by ScienceFather

Dr. Umar Bacha, Global burden of diseases, Excellence in Citation Achievement Award

Associate Professor at University of Management & Technology, Lahore

Dr. Umar Bacha, a distinguished Food & Nutrition expert, holds a Ph.D. from the University of Veterinary and Animal Sciences (2018) and a PgD in Nutrition (2022) with an A+ grade from NIMLS College, Islamabad. As an Associate Professor at the University of Management & Technology, Lahore, he has excelled in supervising research theses, securing patents, and shaping academic curricula. With international experience as a Talented Young Scientist in China and a Ph.D. Research Scholar in the USA, Dr. Bacha’s technical expertise encompasses diverse areas, including wet lab experiments and project management. His accolades include Outstanding Performance Appraisals and prestigious research awards

Professional Profiles:

Education:

Ph.D. in Food & Nutrition (2022) University of Veterinary and Animal Sciences, CGPA 3.34/4 Relevant coursework: Food Processing & Cooking Recipes, Public Health Microbiology, Techniques in Molecular Biology, Food Quality and Safety Management, Advanced Biochemical Techniques, Experimental Design, Research Methods.

Professional Experience:

Associate Professor – Food & Nutrition (Dec 2020 – Present) University of Management & Technology, Lahore Supervised 30 undergraduate research theses Completed patent work Approved curriculum for M.Phil. from BASR of UMT.

Technical Expertise:

Proficient in Wet lab experiments, extraction, separation, purification & assays development Skilled in various laboratory techniques including Kjeldahl method, Soxhlet extraction, Bradford and Lowry assay, Microscopy, DSC, NMR, FTIR, SEM, pH, titrations, spectroscopy, Chromatography, and more. Project Management, team work, Strong presentation, coordination, interpersonal and team building skills.

Training and Certification:

Completed various training courses, workshops, and certificates in areas such as Leadership Strategy Building, Intellectual Property Rights, Change Management, Faculty Development, Food Safety Management System Implementation, and more.

Research Focus

Dr. Umar Bacha’s research endeavors primarily revolve around the production and evaluation of innovative food products, with a specific focus on non-dairy probiotic beverages, gluten-free oat cookies enriched with psyllium husk, and prebiotic galacto-oligosaccharide enriched buttermilk. His studies delve into the physico-chemical, nutritional, and sensory aspects of these products. Additionally, Dr. Bacha has made significant contributions to understanding the influence of yeast β-glucan on cookies’ sensory characteristics and bioactivities. His research extends to the nutraceutical, anti-inflammatory, and immune modulatory effects of β-glucan isolated from yeast. Overall, Dr. Umar Bacha’s work encompasses a holistic exploration of functional and health-promoting aspects within the realm of food science and nutrition.

Publications (TOP NOTES):

In vitro evaluation of antimicrobial and cytotoxic potential of Epimedium grandiflorum hydroethanolic extract as natural medicine, Cited by 3, Publication date: 2022/12/31.

Production and Physico-Chemical Evaluation of Non-Dairy Probiotic Beverages, Cited by 2, Publication date: 2022/11/24.

Mortality rate in Pakistan-among Low and middle-income countries, Cited by 2, Publication date: 2022/9/28.

Mortality Rates in Middle and Low-Income Countries, Cited by 1, Publication date: 2022/9/28.

Preventive role of propolis against hyperglycemia and hyperlipidemia in Sprague dawley rats (Rattus norvegicus) animal modelling system, Cited by 1, Publication date: 2021/1/31.

ASSOCIATION BETWEEN SOCIAL MEDIA USAGE AND EATING BEHAVIORS OF YOUNG ADULTS IN PAKISTAN, Publication date: 2023/8/15.

Maternal vitamin D status and attention deficit hyperactivity disorder (ADHD), an under diagnosed risk factor; A review, Publication date: 2023/2/23.

Nano-Nutraceuticals for the Treatment of Cancer, Publication date: 2022/11/21.

The Control Center of Anger, Publication date: 2022/11/15.

Impact of Physical Activity on Weight Loss during Intermittent Fasting in Adults,. Publication date: 2022/11/11

Krešimir Kušić | Motorway traffic | Best Researcher Award

Posted on 05/02/202405/02/2024 by ScienceFather

Dr. Krešimir Kušić, Motorway traffic, Best Researcher Award

Ph.D at the University of Zagreb, Croatia

Dr. Krešimir Kušić, a Croatian expert in intelligent transport systems, holds a Ph.D. in Technical Sciences from the University of Zagreb. With a rich academic journey, including a Swiss Government Excellence Scholarship, he specializes in traffic flow optimization and microsimulation modeling. As a postdoctoral researcher at the Faculty of Transport and Traffic Sciences, he leads innovative projects such as DLASIUT and SSA@EDAL, advancing learning-based systems for urban traffic control. His impactful work spans international collaborations, numerous publications, and honors, showcasing his commitment to advancing intelligent mobility and his expertise in machine learning and control systems.

Professional Profiles:

A Method to Calibrate Variable Speed Limit Control on High-Truck Share Roads: A Case Study in Brazil,

Education:

PhD, Technical Sciences University of Zagreb, Faculty of Transport and Traffic Sciences Duration: 2017 – 2023 Location: Zagreb, Croatia.

Work Experience

Postdoctoral Researcher Faculty of Transport and Traffic Sciences, University of Zagreb Duration: 16/10/2023 – Current City: Zagreb, Country: Croatia Department of Intelligent Transport Systems.

Skills

Expert in: Traffic flow theory Microscopic traffic simulators (SUMO and PTV Vissim) Python and Matlab Operations research: reinforcement learning, linear programming, simplex method, dynamic programming Multi-agent systems.

Research Focus

Dr. Krešimir Kušić, an accomplished researcher, focuses on advancing transportation through his expertise in Intelligent Transport Systems (ITS). With a Ph.D. in Technical Sciences, he specializes in real-time simulation and the development of digital twins for motorway dynamics. His research spans various areas, including reinforcement learning for variable speed limit control, multi-agent systems, and the impact of deep reinforcement learning on connected vehicle environments. Dr. Kušić’s work, cited extensively, reflects his commitment to enhancing traffic flow optimization, particularly in urban motorways. His comprehensive contributions showcase a dedication to innovative approaches and methodologies, positioning him as a prominent figure in the field of ITS research.

Publications (TOP NOTES):

A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics, Cited by 23, Publication date: 2023/1/1.

An overview of reinforcement learning methods for variable speed limit control, Cited by 31, Publication date: 2020/7/17.

Extended variable speed limit control using multi-agent reinforcement learning, Cited by 22, Publication date: 2020/9/20.

Impact of deep reinforcement learning on variable speed limit strategies in connected vehicles environments, Cited by 19, Publication date: 2022/6/1.

Spatial-temporal traffic flow control on motorways using distributed multi-agent reinforcement learning, Cited by 15, Publication date: 2021/11/30.

Traffic flow simulators with connected and autonomous vehicles: A short review, Cited by 11, Publication date: 2021.

Building a motorway digital twin in SUMO: real-time simulation of continuous data stream from traffic counters, Cited by 04, Publication date: 2022/9/12.

Influence of Spatial Placement of Variable Speed Limit Zones on Urban Motorway Traffic Control, Cited by 02, Publication date: 2022/7/5.

Cited by 01, Publication date: 2020/10/26.

Zhimin Chen | Traditional Chinese Medicine | Best Researcher Award

Posted on 03/02/202403/02/2024 by ScienceFather

Dr. Zhimin Chen, Traditional Chinese Medicine, Best Researcher Award

Doctorate at Chengdu University of Traditional Chinese medicine, China

Dr. Zhimin Chen is an accomplished researcher and academic professional dedicated to the advancement and preservation of traditional Chinese medicine. He holds a Master’s degree in Pharmaceutics and a Ph.D. in Traditional Chinese Medicine from Chengdu University of Traditional Chinese Medicine. Dr. Chen has contributed significantly to the modernization of TCM, emphasizing its cultural and historical context. As an Associate Professor and Director of the Teaching and Research Section at Chengdu University of Traditional Chinese Medicine, he plays a pivotal role in shaping the future of TCM education and research. Dr. Chen is recognized as a municipal inheritor of “Traditional Chinese Medicine Processing Technology,” a representative national intangible cultural heritage project of China. His work spans the development of high-quality TCM products, participation in research projects, and contributions to the formulation of standards for TCM decoction pieces and formula granules. Dr. Chen’s achievements include numerous publications, awards, and recognition as one of the top ten intangible cultural heritage figures in Chengdu in 2022.

Professional Profiles:

Wuzi Yanzong prescription (五子衍宗丸) from Traditional Chinese Medicine for male infertility: a narrative review

Education:

Master’s Degree (2013/09-2016/06):

Chengdu University of Traditional Chinese Medicine
Major: Pharmaceutics

Ph.D. (2016/09-2019/06):

Chengdu University of Traditional Chinese Medicine
Major: Traditional Chinese Medicine

professional journey:

Dr. Zhimin Chen has demonstrated a progressive and impactful academic journey through his various roles at Chengdu University of Traditional Chinese Medicine. Commencing as a Postdoctoral Researcher from July 2019 to August 2022, he contributed significantly to research endeavors at the university. His dedication and expertise led him to assume the position of Lecturer at the School of Pharmacy from October 2019 to February 2023, where he actively contributed to the academic development within his field.

Building upon his research and teaching experience, Dr. Chen currently holds the esteemed position of Associate Professor and serves as the Director of the Teaching and Research Section at the School of Pharmacy, a role he has held since February 2023. In this capacity, he not only imparts knowledge to students but also takes a leadership role in guiding research initiatives within the institution.

Throughout his academic career, Dr. Zhimin Chen’s contributions have been multifaceted, encompassing research, teaching, and administrative responsibilities. His commitment to the modernization of traditional Chinese medicine and the protection of intangible cultural heritage highlights his dedication to both academic excellence and the preservation of valuable cultural practices. As an Associate Professor, he continues to play a pivotal role in shaping the academic landscape at Chengdu University of Traditional Chinese Medicine.

Research Interests:

Modernization of Traditional Chinese Medicine (TCM):

Investigating innovative approaches and techniques to enhance the efficacy, safety, and applicability of traditional Chinese herbal medicine in contemporary healthcare.

Intangible Cultural Heritage Inheritance:

Engaging in research that contributes to the protection and continuation of intangible cultural heritage skills associated with traditional Chinese medicine processing technology.

Innovation in TCM Processing Technology:

Exploring novel methods and technologies for the processing of traditional Chinese herbal medicines, aiming to improve efficiency, quality, and standardization.

Development of TCM Products:

Researching and developing high-quality traditional Chinese medicine products that meet modern healthcare standards, potentially involving the application of innovative formulations or delivery systems.

Standardization of TCM Decoction Pieces and Formula Granules:

Contributing to the establishment and improvement of standards for traditional Chinese medicine decoction pieces and formula granules to ensure quality and consistency in TCM practices.

Cultural and Historical Aspects of TCM:

Exploring the cultural and historical context of traditional Chinese medicine, including its evolution over time and its significance in the broader cultural heritage landscape.

Integration of TCM with Modern Medicine:

Investigating ways to integrate traditional Chinese medicine practices with modern medical approaches to provide holistic and comprehensive healthcare solutions.

Publications (TOP NOTES):

Authors: Chen, Z., Ao, M., Liao, Y., … Hu, C., Gao, Y.
Journal: Journal of Traditional Chinese Medicine
Year: 2023

Material basis and mechanism of Curcuma longa tuberous roots with and without vinegar processing in treating primary dysmenorrhea

Authors: Peng, Y., Dong, B.-H., Jiang, Y.-X., … Xu, R.-C., Chen, Z.-M.
Year: 2023
Citation Count: 2

Ligustri Lucidi Fructus, a traditional Chinese Medicine: Comprehensive review of botany, traditional uses, chemical composition, pharmacology, and toxicity

Authors: Cao, M., Wu, J., Peng, Y., … Yu, L., Chen, Z.
Journal: Journal of Ethnopharmacology
Year: 2023
Citation Count: 7

Polysaccharides from Chinese materia medica: Perspective towards cancer management

Authors: Qiang, M., Cai, P., Ao, M., … Chen, Z., Yu, L.
Journal: International Journal of Biological Macromolecules
Year: 2023
Citation Count: 4

Curcumae Radix: a review of its botany, traditional uses, phytochemistry, pharmacology and toxicology

Authors: Ao, M., Li, X., Liao, Y., … Chen, Z., Yu, L.
Journal: Journal of Pharmacy and Pharmacology
Year: 2022
Citation Count: 3

Mohammed Abdallah | Statistics | Best Researcher Award

Posted on 03/02/202403/02/2024 by ScienceFather

Assist Prof Dr. Mohammed Abdallah, Statistics, Best Researcher Award

Assistant Professor at Umm Al-Qura University, Saudi Arabia

Assistant Professor Dr. Mohammed Abdallah is a highly accomplished mathematician and academic professional, currently serving as an Assistant Professor at Umm Al-Qura University in Saudi Arabia. With a Ph.D. earned with the highest distinction from Assiut University in Egypt, he has dedicated his career to the pursuit of excellence in mathematical research and education.

Professional Profiles:

Mathematical Analysis:

Google Scholar Profile

Education:

Ph.D. in Mathematics and Statistics (2017):

Highest Distinction
Assiut University, Egypt
Faculty of Science

Master’s in Mathematics and Statistics (2010):

Highest Distinction
Assiut University, Egypt
Faculty of Science

Bachelor’s in Mathematics (2002):

Highest Distinction
Assiut University, Egypt
Faculty of Science

professional journey:

Assistant Professor Dr. Mohammed Abdallah brings a wealth of academic expertise to his current position at Umm Al-Qura University in Saudi Arabia, where he has been serving since 2020. Holding the title of Academic Assistant Professor, he plays a crucial role in advancing mathematical education and research.

Prior to his current role, Dr. Abdallah served as an Assistant Professor at Assiut University in Egypt from 2017 to 2020, where he significantly contributed to the academic landscape. His dedication to teaching and research was evident during his tenure as a Lecturer, where he completed his Ph.D. and continued to excel in both teaching and scholarly pursuits from 2010 to 2017.

Dr. Abdallah’s academic journey commenced as a Demonstrator at Assiut University in Egypt in 2002, marking the beginning of his commitment to fostering mathematical understanding and knowledge. Over the years, he progressively advanced in academic ranks, accumulating valuable teaching and research experience.

With a focus on mathematics and statistics, Dr. Mohammed Abdallah has not only excelled in his educational achievements but has also demonstrated a passion for academia, contributing significantly at each stage of his career. His current role as an Assistant Professor at Umm Al-Qura University underscores his continued dedication to the advancement of mathematical education and research in a global context.

Research Interests:

Algebraic Structures:

Exploring and advancing the understanding of algebraic structures, including groups, rings, and fields, with a focus on theoretical developments and applications.

Investigating topics in mathematical analysis, such as real analysis and complex analysis, to enhance the understanding of mathematical functions and their properties.

Probability and Statistics:

Conducting research in probability theory and statistical analysis, contributing to the development of statistical methods and their application in diverse fields.

Mathematical Modeling:

Applying mathematical modeling techniques to address real-world problems, ranging from physical systems to economic and social phenomena.

Number Theory:

Exploring number theory, including the properties and relationships of integers, with a focus on both classical and contemporary aspects of this field.

Combinatorics:

Investigating combinatorial structures and their properties, including the study of permutations, combinations, and graph theory.

Applied Mathematics:

Applying mathematical concepts and techniques to solve practical problems in various disciplines, such as physics, engineering, and computer science.

Data Science:

Engaging in research related to data science, including the analysis and interpretation of large datasets using mathematical and statistical methods.

Mathematics Education:

Contributing to research in mathematics education, exploring effective teaching methods, curriculum development, and strategies for enhancing mathematical understanding among students.

Cryptography:

Investigating cryptographic algorithms and protocols, addressing the security and efficiency of information transmission in the digital realm.

Publications (TOP NOTES):

“Routing protocols in vehicular ad hoc networks: survey and research challenges”

Authors: KZ Ghafoor, M Mohammed, J Lloret, K Abu Bakar, ZM Zainuddin
Published in Network Protocols and Algorithms in 2013 (Vol. 5, Issue 4, pp. 39-83).
Citation count: 61

“Vehicular cloud computing: trends and challenges”

Authors: KZ Ghafoor, MA Mohammed, KA Bakar, AS Sadiq, J Lloret
Published in Mobile Networks and Cloud Computing Convergence for Progressive Services and… in 2014.
Citation count: 33

“Improved geographical routing in vehicular ad hoc networks”

Authors: KZ Ghafoor, J Lloret, AS Sadiq, MA Mohammed
Published in Wireless Personal Communications in 2015 (Vol. 80, pp. 785-804).
Citation count: 30

“Improving bacterial foraging algorithm using non-uniform elimination-dispersal probability distribution”

Authors: MA Sahib, AR Abdulnabi, MA Mohammed
Published in Alexandria Engineering Journal in 2018 (Vol. 57, Issue 4, pp. 3341-3349).
Citation count: 15

“Application of the LINEX loss function with a fundamental derivation of Liu estimator”

Authors: MA Mohammed, HM Alshanbari, AAH El-Bagoury
Published in Computational Intelligence and Neuroscience in 2022.
Citation count: 10

Diego Venegas | LPG systems | Best Researcher Award

Posted on 03/02/202403/02/2024 by ScienceFather

Dr. Diego Venegas, LPG systems, Best Researcher Award

Doctorate at Bio-Bio University, Chile

Dr. Diego Venegas is a distinguished researcher and engineer with a comprehensive background in materials science, industrial engineering, and safety in industrial processes. Currently pursuing a Ph.D. in Engineering of Sustainable Materials and Processes at the University of Biobío in Concepción, Chile, his doctoral research focuses on the catalytic pyrolysis of biomass, specifically examining the influence of Chilean natural zeolite impregnated with transition metals.

Professional Profiles:

Liquefied Petroleum Gas (LPG) Storage and Safety:

Google Scholar Profile

Education:

Doctoral Studies (2018 – Present):

Pursuing a Ph.D. in Engineering of Sustainable Materials and Processes at the University of Biobío in Concepción, Chile.
Anticipated title: Doctor in Engineering of Sustainable Materials and Processes.

Master’s in Industrial Engineering and Productivity (2003 – 2006):

Obtained a Master’s degree from Escuela Politécnica Nacional in Quito, Ecuador.

Bachelor’s in Mechanical Engineering (1994 – 2001):

Graduated as an Ingeniero Mecánico from Escuela Politécnica Nacional in Quito, Ecuador.

Diploma in Creation and Administration of Engineering Companies (2008):

Completed a diploma program from Universidad Autónoma de Madrid, Universidad Politécnica de Madrid, and Colegio de Ingenieros Mecánicos de Pichincha in Quito, Ecuador.

Bachelor’s in Physical-Mathematical Sciences (1988 – 1994):

Achieved the title of Bachiller Ciencias Físico Matemáticas from Colegio Municipal “Benalcázar” in Quito, Ecuador.

Bachelor’s in Social Sciences (1994 – 1995):

Attained the title of Bachiller Ciencias Sociales from Colegio Nacional “Benito Juárez” in Quito, Ecuador.

professional journey:

Dr. Diego Venegas has an extensive professional background with diverse roles spanning various industries and educational institutions. His experiences include roles as an Evaluator of Competences at CHILECAP and the University of the Americas in Chile, specializing in assessing skills related to gas installation and operation of gas appliances.

He served as an Evaluator of Competences at the IIT Instituto de Investigaciones Tecnológicas, focusing on profiles such as Gas Inspector and Gas Appliance Operator. Additionally, Dr. Venegas worked as a Lab Technician at CERYLAB, certifying pellet and wood-burning heaters.

His academic contributions include roles as a Professor at the University of Concepción and Universidad Internacional SEK in Quito, covering subjects like Material Science and Mechanical Engineering. He also served as a Professor at the University of the Armed Forces ESPE and coordinated academic activities.

Dr. Venegas has industry experience as a Commercial Advisor in companies such as Servicios Industriales Vallejo Araujo and Acero Comercial Ecuatoriano, providing expertise in energy generation, pumping systems, and more. He also worked as a Manager in the industrial division at La Llave S.A. de Comercio.

His career includes positions at the Universidad Politécnica Salesiana and Agip Ecuador S.A., where he engaged in teaching and contributed to centralized LPG projects’ design, execution, and economic analysis.

Furthermore, Dr. Venegas worked in roles such as Inspector of the Vehicle Inspection Center, Fleet Inspector at Durallanta S.A., and Technical Assistant at PLAN FIM, showcasing a diverse skill set in inspection, maintenance, and project management. His early career involved roles in civil and mechanical construction projects, highlighting his versatility and commitment to various fields.

Research Interests:

Catalytic Pyrolysis of Biomass:

Investigating the influence of natural zeolite impregnated with transition metals on the selectivity towards aromatic compounds during the catalytic pyrolysis of lignocellulosic biomass. This research aims to contribute to sustainable and efficient methods for biomass conversion.

Analyzing the risks associated with the storage of Liquefied Petroleum Gas (LPG) in Ecuador. This research likely involves exploring safety measures, material considerations, and potential hazards to enhance the secure storage and handling of LPG.

BLEVE (Boiling Liquid Expanding Vapor Explosion):

Studying the BLEVE phenomenon as a motivation for safety in LPG installations. Understanding the dynamics and potential consequences of BLEVE is crucial for implementing effective safety measures in facilities handling LPG.

Materials Recommended for LPG Installations:

Investigating materials recommended by international standards for use in LPG installations. This research may involve assessing the compatibility, durability, and safety aspects of materials used in LPG facilities.

Analysis of Gas Storage Systems:

Comparing the storage aspects of gas in different systems, specifically exploring the differences between stationary tanks and cylinders. This research contributes insights into the efficiency and safety considerations of various gas storage methods.

Selection of Pipes for LPG Conduction:

Identifying factors for selecting pipes for the conduction of LPG in Ecuador. This research likely involves considerations such as material properties, corrosion resistance, and overall suitability for safe and efficient LPG transportation.

Publications (TOP NOTES):

“El riesgo en el almacenamiento de GLP en el Ecuador”

Authors: DFV Vásconez, CA Sarria, SFC Ortega, JCR Hoyos
Published in the INNOVA Research Journal in 2018 (Vol. 3, Issue 1, pp. 19-29).
Citation count: 13

“La BLEVE, un motivo para la seguridad en las instalaciones de GLP”

Authors: D Venegas, Ó Farías
Presented at the 13o Congreso Iberoamericano de Ingeniería Mecánica CIBEM in 2017.
Citation count: 13

“Materiales recomendados por las Normas Internacionales para utilizar en una instalación de GLP”

Authors: D Venegas, J Yanez, S Celi, C Ayabaca, L Tipanluisa, D Bastidas, et al.
Published in the Asociacion Española de Ingenieria Mecanica in 2016 (pp. 599-606).
Citation count: 12

“Análisis del almacenamiento en sistemas de gas licuado de petróleo: tanques estacionarios vs. cilindros”

Authors: D Venegas Vásconez, C Ayabaca Sarria
Published in Ingenius. Revista de Ciencia y Tecnología in 2019 (pp. 113-122).
Citation count: 11

“Factores para seleccionar tuberías de conducción de gas licuado de petróleo en el Ecuador”

Authors: C Ayabaca, S Celi, J Rocha, E Mena
Published in Ingenius. Revista de Ciencia y Tecnología in 2018 (pp. 51-59).
Citation count: 10

Khawaja Umair Majeed | Economic Geology | Best Researcher Award

Posted on 02/02/202402/02/2024 by ScienceFather

Mr. Khawaja Umair Majeed, Economic Geology, Best Researcher Award

Doctorate at Institute of Geology, Pakistan

Khawaja Umair Majeed is a dedicated geologist and Ph.D. candidate with a passion for unraveling the mysteries of Earth’s geological formations. Holding a Master’s degree in Applied Geology from The University of Azad Jammu & Kashmir, his research focuses on facies analysis, sequence stratigraphy, and reservoir characterization, particularly in the Amb Formation of the Salt Range, Pakistan.

Professional Profiles: