António Barros | Chemical Engineering | Excellence in Research

Posted on 28/02/202528/02/2025 by ScienceFather

Mr. António Barros | Chemical Engineering | Excellence in Research

Pesquisa Científica at Centro de Pesquisa e Desenvolvimento (CPD) da Sonangol, Angola

António André Chivanga Barros is a distinguished Angolan researcher, academic, and industry leader in the field of chemical engineering. With over three decades of experience in academia, research, and university administration, he has made significant contributions to scientific innovation, industrial development, and education in Angola and beyond. His expertise spans thermodynamics, biofuels, petroleum refining, and process simulation, with a prolific publication record of over 100 scientific articles and extensive involvement in postgraduate education. In addition to his academic achievements, he has held leadership positions in national councils, industry organizations, and government advisory boards, playing a pivotal role in shaping Angola’s scientific and technological landscape.

Professional Profile

Education

António Barros holds a Ph.D. in Chemical Engineering from the State University of Campinas (UNICAMP), Brazil (1997), a Master’s in Chemical Engineering from the Federal University of Paraíba (UFPB) (1992), and a Bachelor’s degree in Industrial Chemistry from UFPB (1989). His academic background has provided him with a strong foundation in chemical process modeling, energy efficiency, and environmental sustainability, which he has applied extensively in his research and professional career.

Professional Experience

Dr. Barros has held various prestigious academic and administrative positions. He currently serves as the Coordinator of Postgraduate Studies at the Instituto Superior Politécnico de Tecnologias e Ciências (ISPTEC), where he also leads master’s programs in Chemical Engineering and Cyber-Physical Systems Engineering. He has taught at ISPTEC and the Universidade Regional de Blumenau (FURB), covering subjects such as thermodynamics, bioreactors, and process engineering. Beyond academia, he has served as an executive administrator at Academia Sonangol and consulted for Angola’s government and industry. He is also the Editor-in-Chief of two international engineering journals and an active member of scientific and economic councils.

Research Interest

António Barros’s research focuses on chemical process engineering, thermodynamics, biofuels, and petroleum refining. He is particularly interested in developing sustainable energy solutions, optimizing industrial processes, and improving energy efficiency in chemical and petroleum industries. His work includes process simulation, catalyst development, and environmental sustainability in refining operations. He has also explored cyber-physical systems in engineering, integrating digital technologies with industrial processes. His research contributions have advanced the understanding of complex chemical reactions, energy optimization, and sustainable engineering practices.

Awards and Honors

Dr. Barros has received numerous awards for his contributions to chemical engineering, education, and industrial innovation. He has been recognized by Angola’s government and academic institutions for his role in advancing scientific research and higher education. His accolades include lifetime achievement awards, honorary distinctions from international engineering societies, and research excellence awards from leading universities. His leadership in academia and industry has earned him recognition as a key figure in Angola’s technological development.

Research Skills

António Barros possesses advanced research skills in process modeling, thermodynamic analysis, computational simulation, and experimental design. He is proficient in using software tools such as Aspen Plus, MATLAB, and HYSYS for process optimization and simulation. His expertise extends to laboratory research, pilot-scale experimentation, and industrial-scale implementation of chemical engineering solutions. Additionally, he has strong analytical skills in data processing, statistical modeling, and kinetic analysis. His ability to integrate theoretical knowledge with practical applications has led to significant contributions in biofuel development, petrochemical processes, and sustainable energy solutions.

Conclusion

Dr. António André Chivanga Barros is highly suitable for the Excellence in Research Award. His prolific publication record, leadership in academia, and innovative contributions to engineering research—especially in biofuels, petroleum refining, and thermodynamics—demonstrate outstanding research excellence. Further global collaboration and grant acquisition would elevate his impact even further.

Publications Top Noted

Title: The study of biodiesel production using CaO as a heterogeneous catalytic reaction
Authors: K Colombo, L Ender, AAC Barros
Year: 2017
Citations: 181
Title: Biofuels from waste fish oil pyrolysis: Continuous production in a pilot plant
Authors: VR Wiggers, A Wisniewski Jr, LAS Madureira, AAC Barros, HF Meier
Year: 2009
Citations: 168
Title: Biofuels from continuous fast pyrolysis of soybean oil: A pilot plant study
Authors: VR Wiggers, HF Meier, A Wisniewski Jr, AAC Barros, MRW Maciel
Year: 2009
Citations: 152
Title: Biofuels from waste fish oil pyrolysis: Chemical composition
Authors: A Wisniewski Jr, VR Wiggers, EL Simionatto, HF Meier, AAC Barros, …
Year: 2010
Citations: 142
Title: Purification of residual glycerol recovered from biodiesel production
Authors: AM Domingos, FD Pitt, AA Chivanga Barros
Year: 2019
Citations: 100
Title: Visible Light Induced Enhanced Photocatalytic Degradation of Industrial Effluents (Rhodamine B) in Aqueous Media Using TiO2 Nanoparticles
Authors: JO Carneiro, AP Samantilleke, P Parpot, F Fernandes, M Pastor, …
Year: 2016
Citations: 57
Title: Production of biodiesel from soybean oil and methanol, catalyzed by calcium oxide in a recycle reactor
Authors: K Colombo, MM Santos, L Ender, AAC Barros
Year: 2019
Citations: 46
Title: A new role for reduction in pressure drop in cyclones using computational fluid dynamics techniques
Authors: D Noriler, AA Vegini, C Soares, AAC Barros, HF Meier, M Mori
Year: 2004
Citations: 44
Title: Thermal fluid dynamics analysis of gas–liquid flow on a distillation sieve tray
Authors: D Noriler, HF Meier, AAC Barros, MRW Maciel
Year: 2008
Citations: 43
Title: Simultaneous momentum, mass, and energy transfer analysis of a distillation sieve tray using CFD techniques: prediction of efficiencies
Authors: D Noriler, AAC Barros, MRW Maciel, HF Meier
Year: 2010
Citations: 42
Title: Estudo da viabilidade técnico-científica da produção de biodiesel a partir de resíduos gordurosos
Authors: AAC Barros, E Wust, HF Meier
Year: 2008
Citations: 42
Title: Craqueamento termo-catalítico da mistura óleo de fritura usado-Lodo de estamparia têxtil para a produção de óleo com baixo índice de acidez
Authors: V Botton, D Riva, EL Simionatto, VR Wiggers, L Ender, HF Meier, …
Year: 2012
Citations: 28

Amr Shafik | Engineering | Best Researcher Award

Posted on 21/02/202521/02/2025 by ScienceFather

Mr. Amr Shafik | Engineering | Best Researcher Award

Civil Engineering Department at Virginia Tech, United States

Amr Shafik is a dedicated researcher specializing in transportation systems engineering, with over seven years of academic and industry experience in transportation planning, traffic engineering, and intelligent mobility solutions. Currently a Ph.D. candidate in Civil and Environmental Engineering at Virginia Tech, his research focuses on optimizing eco-driving systems for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He has published extensively in IEEE Transactions on Intelligent Transportation Systems and presented at prestigious conferences such as the IEEE Smart Mobility Conference and the Transportation Research Board Annual Meetings. Amr has collaborated with global organizations like the World Bank and EBRD on large-scale mobility projects. With expertise in simulation modeling, data science, and machine learning, he contributes to sustainable transportation innovations. Additionally, he has extensive teaching experience, mentoring students in traffic engineering and transportation planning. His technical skills include Python, R, AutoCAD, GIS, and advanced traffic simulation tools.

Professional Profile

Education

Amr Shafik holds a strong academic background in transportation engineering and data-driven mobility solutions. He is currently pursuing a Ph.D. in Civil and Environmental Engineering at Virginia Tech, where his research focuses on eco-driving optimization for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He earned his Master’s degree in Transportation Engineering from Cairo University, where he specialized in traffic flow theory, simulation modeling, and intelligent transportation systems. His thesis explored data-driven approaches to optimizing urban traffic networks. Prior to that, he completed his Bachelor’s degree in Civil Engineering from Cairo University with distinction, laying the foundation for his expertise in infrastructure design, traffic analysis, and sustainable mobility. Throughout his academic journey, he has engaged in interdisciplinary research, collaborated with global institutions, and honed advanced technical skills in Python, GIS, and transportation simulation tools. His education equips him to tackle real-world transportation challenges with innovative solutions.

Professional Experience

Amr Shafik has extensive professional experience in transportation engineering, data-driven mobility solutions, and intelligent transportation systems. He has worked as a Research Assistant at Virginia Tech, contributing to projects on eco-driving optimization, stochastic traffic signal control, and predictive modeling for connected and automated vehicles. Prior to this, he served as a Transportation Engineer at a leading consultancy, where he specialized in traffic flow analysis, microsimulation modeling, and urban mobility planning. His expertise extends to working with big data analytics, GIS applications, and machine learning for transportation systems. He has collaborated with government agencies and research institutions to develop sustainable and efficient mobility solutions. Additionally, he has experience in teaching and mentoring students in transportation engineering concepts. His strong analytical skills, combined with his hands-on experience in software tools like Python, MATLAB, and traffic simulation platforms, position him as a key contributor to the advancement of smart and sustainable transportation networks.

Research Interest

Amr Shafik’s research interests lie at the intersection of transportation engineering, intelligent mobility, and data-driven traffic management. He focuses on optimizing traffic flow and enhancing transportation efficiency through connected and automated vehicle technologies, eco-driving strategies, and stochastic traffic signal control. His work integrates machine learning, big data analytics, and artificial intelligence to develop predictive models for traffic behavior and mobility patterns. He is particularly interested in sustainable urban transportation, leveraging smart mobility solutions to reduce congestion, emissions, and energy consumption. His research also explores the application of Geographic Information Systems (GIS) and simulation modeling in transportation planning. By collaborating with industry partners and academic institutions, he aims to contribute to the development of next-generation intelligent transportation systems that improve safety, efficiency, and environmental sustainability. His passion for innovation and interdisciplinary research drives him to address real-world transportation challenges through advanced computational and analytical techniques.

Awards and honor

Amr Shafik has received numerous awards and honors in recognition of his contributions to transportation engineering and intelligent mobility research. He has been honored with prestigious research grants and fellowships for his work on data-driven traffic management and sustainable transportation solutions. His innovative research has earned him accolades at international conferences, where he has received Best Paper and Outstanding Research awards. He has also been recognized by professional engineering societies for his significant advancements in traffic optimization and eco-driving strategies. Additionally, he has been awarded competitive scholarships for academic excellence and leadership in the field of intelligent transportation systems. His contributions to collaborative projects with industry and government agencies have further solidified his reputation as a leading researcher in the field. Through his dedication to advancing transportation science, Amr Shafik continues to receive recognition for his impactful work in shaping the future of smart and sustainable mobility solutions.

Research skill

Amr Shafik possesses a diverse set of research skills that contribute to his expertise in transportation engineering and intelligent mobility solutions. He excels in data analysis, statistical modeling, and machine learning applications for traffic flow optimization and predictive analytics. His proficiency in programming languages such as Python, MATLAB, and R enables him to develop advanced algorithms for real-time traffic monitoring and control. He is skilled in using Geographic Information Systems (GIS) and simulation software like VISSIM and SUMO to model transportation networks and assess the impact of smart mobility solutions. Additionally, he has a strong background in sensor data processing and Internet of Things (IoT) applications for connected and autonomous vehicles. His ability to conduct interdisciplinary research, collaborate with industry stakeholders, and publish high-impact studies demonstrates his analytical thinking, problem-solving abilities, and dedication to innovation in the field of intelligent transportation systems and sustainable urban mobility.

Conclusion

Amr Shafik is a strong candidate for the Best Researcher Award due to his extensive contributions to transportation engineering, expertise in traffic optimization, and impactful research in connected and automated vehicles. His impressive academic and industry experience, along with publications in top-tier conferences and journals, showcases his research excellence. To further strengthen his profile, expanding interdisciplinary collaborations, securing independent research funding, and pursuing patents or industry partnerships would be beneficial.

Publications Top Noted

Optimization of vehicle trajectories considering uncertainty in actuated traffic signal timings
- Authors: AK Shafik, S Eteifa, HA Rakha
- Year: 2023
- Citations: 19
Queue Length Estimation and Optimal Vehicle Trajectory Planning Considering Queue Effects at Actuated Traffic Signal Controlled Intersections
- Authors: A Shafik, H Rakha
- Year: 2024
- Citations: 5
Environmental Impacts of MSW Collection Route Optimization Using GIS: A Case Study of 10th of Ramadan City, Egypt
- Authors: A Shafik, M Elkhedr, D Said, A Hassan
- Year: 2022
- Citations: 4
Integrated Back of Queue Estimation and Vehicle Trajectory Optimization Considering Uncertainty in Traffic Signal Timings
- Authors: AK Shafik, HA Rakha
- Year: 2024
- Citations: 3
Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles Towards Uncertainty of Actuated Traffic Signals
- Authors: A Shafik, S Eteifa, HA Rakha, E Center
- Year: 2023
- Citations: 3
Development of Online VISSIM Traffic Microscopic Calibration Framework Using Artificial Intelligence for Cairo CBD Area
- Authors: AK Shafik, A Hassan, AM Saied, AE & Abdelmegeed
- Year: 2022
- Citations: 2
Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Traffic Signal Switch Times
- Authors: S Eteifa, AK Shafik, H Eldardiry, HA Rakha
- Year: 2024
- Citations: 1
Kalman Filter-based Real-Time Traffic State Estimation and Prediction using Vehicle Probe Data
- Authors: AK Shafik, HA Rakha
- Year: 2024
- Citations: 1
Enhancing and Evaluating a Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Controller on an Isolated Signalized Intersection
- Authors: AK Shafik, HA Rakha
- Year: 2024
- Citations: 1
Real-Time Turning Movement, Queue Length, and Traffic Density Estimation and Prediction Using Vehicle Trajectory and Stationary Sensor Data
- Authors: AK Shafik, HA Rakha
- Year: 2025
- Citations: N/A
Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Signal Phase and Timing Information at Actuated Traffic Signals
- Authors: S Eteifa, A Shafik, H Eldardiry, HA Rakha
- Year: 2025
- Citations: N/A
Real-Time Turning Movement, Queue Length and Traffic Density Estimation and Prediction from Probe Vehicle Data: A Kalman Filter Approach
- Authors: A Shafik, HA Rakha
- Year: 2025
- Citations: N/A
Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Control: Model Enhancement and Testing on Isolated Signalized Intersections
- Authors: AK Shafik, HA Rakha
- Year: 2024
- Citations: N/A
Real-Time Traffic State Estimation and Short-Term Prediction Using Probe Vehicle Data: A Kalman Filter Approach
- Authors: A Shafik, H Rakha
- Year: 2024
- Citations: N/A
Queue Estimation and Consideration in Vehicle Trajectory Optimization at Actuated Signalized Intersections
- Authors: AK Shafik, HA Rakha
- Year: 2024
- Citations: N/A

Zainab Mahdi Saleh | Engineering | Women Researcher Award

Posted on 20/02/202520/02/2025 by ScienceFather

Mrs. Zainab Mahdi Saleh | Engineering | Women Researcher Award

An engineer at the Iraqi Ministry of Health at University of Babylon, Iraq

Mrs. Zainab Mahdi Saleh is an accomplished mechanical engineer specializing in thermodynamics, currently pursuing a Ph.D. at the University of Babylon. She holds a Master’s degree from the University of Wasit and has conducted significant research on energy-efficient cooling systems, publishing multiple papers on desiccant wheel performance and heat transfer enhancement. With extensive experience in mechanical systems, she has held various leadership roles in hospital infrastructure management, overseeing central cooling, generators, and medical oxygen systems. Proficient in ANSYS and other engineering software, she combines theoretical expertise with practical applications. A dedicated educator, she serves as an Assistant Lecturer and is an active member of the Iraqi Engineers Union. Her strong English proficiency and technical skills make her a valuable contributor to the field. To further enhance her impact, she aims to expand her research internationally, secure funding, and mentor young engineers, particularly women in STEM.

Professional Profile

Education

Mrs. Zainab Mahdi Saleh has a strong academic background in mechanical engineering, specializing in thermodynamics. She earned her Bachelor’s degree in Mechanical Engineering from the University of Thi Qar in 2008 and later pursued a Master’s degree in Mechanical Engineering at the University of Wasit, which she completed in 2020. Currently, she is a Ph.D. candidate at the University of Babylon, focusing on advanced research in thermodynamics. Her academic journey reflects a commitment to scientific excellence and continuous learning. Throughout her studies, she has developed expertise in energy-efficient cooling systems and heat transfer enhancement, contributing to innovative research in her field. She has also undertaken specialized courses in mechanical engineering, ANSYS software, and teaching methodologies, further strengthening her technical and instructional capabilities. Her dedication to education and research positions her as a leading figure in engineering, striving to make meaningful contributions to both academia and industry.

Professional Experience

Mrs. Zainab Mahdi Saleh has extensive professional experience in mechanical engineering, specializing in thermodynamics and energy systems. She has held various leadership positions in healthcare infrastructure management, overseeing critical mechanical systems such as central cooling, generators, and medical oxygen units. Her career began as a Maintenance Unit Supervisor at Al-Hay Health Sector in 2009, followed by roles at Al-Karama Teaching Hospital and Badra Model Health Center, where she managed mechanical and generator maintenance. She later advanced to Assistant Head of the Mechanical Division at Al-Zahraa Teaching Hospital, eventually becoming the Supervisor of both the Central Cooling and Medical Oxygen Units. In addition to her technical expertise, she serves as an Assistant Lecturer, contributing to academic research and mentoring students in mechanical engineering. Her combined experience in practical engineering applications and academia positions her as a leader in the field, bridging the gap between research and real-world industrial challenges.

Research Interest

Mrs. Zainab Mahdi Saleh’s research interests lie in the fields of thermodynamics, heat transfer enhancement, and energy-efficient cooling systems. She focuses on optimizing the performance of desiccant wheel technology to reduce latent heat loads in air conditioning systems, contributing to improved energy efficiency and sustainability. Her work also explores innovative heat transfer techniques in double-pipe heat exchangers, utilizing advanced methods such as wavy edge twisted tapes with varying twist ratios and perforated diameters to enhance thermal performance. With a strong background in both theoretical and experimental studies, she aims to develop practical solutions for industrial and environmental applications. Additionally, her expertise in mechanical systems, including medical oxygen and central cooling units, allows her to bridge the gap between research and real-world engineering challenges. By expanding her studies to include renewable energy integration, she seeks to further advance sustainable thermal management technologies for future applications.

Award and Honor

Mrs. Zainab Mahdi Saleh has earned recognition for her contributions to mechanical engineering, particularly in the field of thermodynamics and energy-efficient cooling systems. As an accomplished researcher, she has published multiple scientific papers in reputable university journals, showcasing her expertise in heat transfer enhancement and desiccant wheel technology. Her dedication to academia and research has positioned her as a respected scholar in her field. In addition to her academic achievements, she has held leadership roles in various healthcare institutions, demonstrating her ability to apply engineering principles to critical infrastructure management. Her commitment to education is evident in her role as an Assistant Lecturer, where she mentors and guides students in mechanical engineering. As a member of the Iraqi Engineers Union, she actively contributes to the engineering community. While she continues to advance her research, further recognition through national and international awards would strengthen her impact and professional standing.

Research Skill

Mrs. Zainab Mahdi Saleh possesses strong research skills in thermodynamics, heat transfer, and energy-efficient cooling systems. She excels in both theoretical and experimental research, demonstrated by her studies on desiccant wheel performance and heat exchangers. Her expertise includes conducting experimental setups, data analysis, and computational simulations using ANSYS software, enhancing the accuracy and efficiency of her findings. She is skilled in designing and optimizing mechanical systems to improve energy performance, particularly in HVAC and industrial cooling applications. Her ability to integrate engineering principles with real-world applications is evident in her research on moisture adsorption materials and innovative heat transfer techniques. Additionally, she is proficient in academic writing and has successfully published her work in university journals. Her analytical approach, problem-solving abilities, and technical expertise make her a valuable contributor to the field. As she advances in her Ph.D. research, her skills continue to evolve, driving innovation in mechanical engineering.

Conclusion

Zainab Mahdi Saleh is a strong candidate for the Women Researcher Award, given her academic achievements, research contributions, technical expertise, and leadership in the field of mechanical engineering. Her work on energy-efficient cooling and heat transfer enhancement is highly relevant to sustainability and industrial advancements.

To further enhance her candidacy, she could focus on expanding her research to international platforms, securing research funding, and mentoring the next generation of engineers, particularly women in STEM. Overall, her profile reflects dedication, technical excellence, and leadership, making her a deserving contender for this prestigious award.

Publications Top Noted

Title: “Theoretical Performance of Silica Gel Desiccant Wheel”
- Authors: ZM Salih, ADM Hassan, AM Al-Dabagh
- Journal: Wasit Journal of Engineering Sciences, Volume 7, Issue 3, Pages 66-74
- Year: 2019
- Citations: 1
Title: “The Experimentally Studying of Solid Desiccant Wheel Performance Combined with the System of Air Conditioning”
- Authors: ZM Salih, ADM Hassen, AM Al-Dabagh
- Journal: Journal of University of Babylon for Engineering Sciences, Pages 50-59
- Year: 2019
- Citations: 1

Mohammed Sulaiman | Engineering | Best Researcher Award

Posted on 19/02/202519/02/2025 by ScienceFather

Dr. Mohammed Sulaiman | Engineering | Best Researcher Award

University Lecturer at Erbil Polytechnic University, Iraq

Dr. Mohammed Abdulqader Sulaiman is an accomplished researcher and academic specializing in Thermal Power Engineering. With a Ph.D. from Erbil Polytechnic University (2024), he has dedicated his career to advancing energy efficiency and cooling technologies. His research focuses on novel evaporative cooling systems, reflected in multiple publications in reputable international journals. As a lecturer and former Deputy Head of the Mechanical and Energy Engineering Department, he has played a vital role in academic leadership, laboratory development, and student mentorship. Proficient in engineering software like MATLAB, AutoCAD, and ANSYS, he integrates practical and theoretical expertise in his work. His contributions to renewable energy and refrigeration technologies position him as a strong candidate for research recognition, with potential for further impact through high-impact publications, industry collaborations, and research grants.

Profession Profile

Education

Dr. Mohammed Abdulqader Sulaiman holds a Ph.D. in Thermal Power Engineering from Erbil Polytechnic University (2024), where he also earned his M.Sc. in Thermal Power Engineering in 2016 and his B.Sc. in Refrigeration and Air-Conditioning Engineering in 2012. His academic journey has been dedicated to energy efficiency, heat transfer, and sustainable cooling technologies. Through his advanced studies, he has developed expertise in renewable energy, thermodynamics, and innovative cooling systems, contributing to both theoretical advancements and practical applications in the field of mechanical and energy engineering.

Professional Experience

Dr. Mohammed Abdulqader Sulaiman has extensive professional experience in academia and research, primarily at Erbil Polytechnic University. Since 2012, he has been a lecturer in the Mechanical and Energy Engineering Department, specializing in thermodynamics, renewable energy, and heat transfer. He served as Deputy Head of the department from 2017 to 2021, overseeing academic programs and research initiatives. Additionally, he has held key leadership roles, including Head of Laboratories and Workshops and In-Charge of Engineering Laboratories, contributing to the development of research infrastructure. Dr. Sulaiman has also been an active member of various academic committees, including the Examination and Summer Training Committees, demonstrating his commitment to student mentorship and curriculum development. His expertise in MATLAB, AutoCAD, and ANSYS further enhances his contributions to engineering education and research.

Research Interest

Dr. Mohammed Abdulqader Sulaiman’s research interests lie in the fields of thermal power engineering, energy efficiency, and innovative cooling technologies. His work focuses on dew-point evaporative cooling systems, heat and mass transfer, and sustainable energy solutions, aiming to improve cooling performance while reducing energy consumption. He is particularly interested in renewable energy applications, including solar, hydropower, wind, and geothermal energy, as well as advancements in refrigeration and air-conditioning systems. His research integrates experimental and numerical analysis, utilizing computational tools such as MATLAB, AutoCAD, and ANSYS to develop innovative thermal management solutions. Through his studies, Dr. Sulaiman aims to contribute to the development of energy-efficient and environmentally friendly technologies, addressing the growing global

Award and Honor

Dr. Mohammed Abdulqader Sulaiman has been recognized for his contributions to research and academia through various awards and honors. His dedication to thermal power engineering and energy efficiency has earned him appreciation within the academic and research community. As a member of the Kurdistan Engineers Association and Kurdistan Teachers Union, he has been acknowledged for his role in advancing engineering education and research. His innovative work in dew-point evaporative cooling systems and renewable energy applications has been published in reputable international journals, showcasing his impact in the field. With a strong academic and research background, he is a promising candidate for prestigious awards such as the Best Researcher Award, recognizing his commitment to scientific advancements and sustainable engineering solutions.

Conclusion

Mohammed Abdulqader Sulaiman is a strong candidate for the Best Researcher Award due to his solid academic background, research contributions, and leadership roles. While there are areas for further development, his expertise in thermal power engineering, innovative research in evaporative cooling, and commitment to education make him a competitive nominee.

Publications Top Noted

Title: Experimental and numerical investigation of novel dew-point evaporative cooler with shell and tube design
Authors: MA Sulaiman, HA Saber, HF Hasan, AC Benim
Year: 2025
Citations: –
Title: Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations
Authors: MA Sulaiman, AM Adham, HF Hasan, AC Benim, HA Anjal
Year: 2023
Citations: 6
Title: Evaluation of new dew point evaporative cooler heat and mass exchanger designs with different geometries
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 4
Title: Energy Performance Analysis of Dew Point Evaporative Cooler with Novel Heat and Mass Exchanger Design
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 1
Title: Assessing the Performance of Novel Dew Point Evaporative Cooler Considering the Climatic Conditions of Different Cities in Iraq
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 1
Title: Enhancement of the Overall Performance of Vapor Compression Refrigeration System (VCRS) using Environmentally Friendly Refrigerant and Jumping Capacitors – Experimental Study
Authors: ZK Shakir, AM Adham, MA Sulaiman, NK Mohammed
Year: 2020
Citations: 3
Title: Thermal and Hydrodynamic Characteristics of Graphite-H2O and CuO-H2O Nanofluids in Microchannel Heat Sinks
Authors: SFO Mohammed Abdulqader Sulaiman, Ahmed Mohammed Adham
Year: 2020
Citations: 1*
Title: Design of a Domestic Diffusion Absorption Refrigeration System Using Evolutionary Algorithm
Authors: AM Adham, MA Sulaiman
Year: 2017
Citations: 6

Najeeb ur rehman Malik | Engineering | Best Researcher Award

Posted on 14/02/202514/02/2025 by ScienceFather

Dr. Najeeb ur rehman Malik | Engineering | Best Researcher Award

Assistant Professor at DHA Suffa University, Pakistan

Dr. Najeeb Ur Rehman Malik is a dedicated researcher and electronics engineer specializing in computer vision, deep learning, and image processing. He holds a Ph.D. from Universiti Teknologi Malaysia (UTM), where his research focused on multi-view human action recognition using convolutional neural networks (CNNs) and pose features. His expertise spans artificial intelligence, embedded systems, and digital signal processing. With multiple peer-reviewed publications, including work on COVID-19 detection using X-ray images and AI-driven healthcare solutions, he has significantly contributed to applied AI research. He has industry experience as an Assistant Manager at PTCL and has led technical events at the university and national levels. His proficiency in MATLAB, Python, and embedded systems complements his research acumen. While he has made impactful contributions, further global collaborations, research funding, and high-impact citations would enhance his academic influence. Dr. Malik continues to innovate in AI and computer vision, driving advancements in intelligent systems.

Professional Profile

Education

Dr. Najeeb Ur Rehman Malik has a strong academic background in electronics engineering and communication systems. He is currently pursuing a Ph.D. at Universiti Teknologi Malaysia (UTM), where his research focuses on multi-view human action recognition using deep learning and convolutional neural networks (CNNs). He earned his Master of Engineering (M.E.) in Communication Systems and Networks from Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan, graduating with a CGPA of 3.40. His master’s research explored speeded-up robust features (SURF) for image retrieval systems. Prior to that, he completed his Bachelor of Engineering (B.E.) in Electronics Engineering from MUET with a CGPA of 3.45, gaining expertise in power electronics, automation, digital signal processing, and embedded systems. His academic journey reflects a strong foundation in artificial intelligence, image processing, and computer vision, positioning him as a key contributor to advancements in intelligent systems and AI-driven technologies.

Professional Experience

Dr. Najeeb Ur Rehman Malik has diverse professional experience in both academia and industry, specializing in electronics engineering, communication systems, and artificial intelligence. He served as an Assistant Manager at PTCL in Hyderabad, Sindh, Pakistan, from February 2017 to June 2018, where he gained hands-on experience in telecommunications, networking, and system management. Prior to that, he completed an internship at the National Telecommunication Corporation (NTC) in Karachi during June-July 2010, where he worked on networking infrastructure and telecommunication protocols. In addition to his industry experience, he has been actively engaged in research at Universiti Teknologi Malaysia (UTM), focusing on deep learning applications for multi-view human action recognition. His technical expertise spans MATLAB, Python, embedded systems, and digital signal processing, making him a well-rounded professional. With a strong blend of research and industry exposure, Dr. Malik continues to contribute to advancements in AI, image processing, and communication technologies.

Research Interest

Dr. Najeeb Ur Rehman Malik’s research interests lie at the intersection of computer vision, deep learning, image processing, and artificial intelligence. His primary focus is on multi-view human action recognition, where he integrates convolutional neural networks (CNNs) and pose estimation techniques to enhance accuracy in real-world scenarios. He has also explored content-based image retrieval, developing robust techniques using Speeded-Up Robust Features (SURF) and Scale-Invariant Feature Transform (SIFT). His work extends to healthcare applications, including AI-driven COVID-19 detection from chest X-ray images and the role of wearable technology in pandemic management. Additionally, he is interested in embedded systems, automation, and signal processing, particularly in developing intelligent and efficient computing solutions. His expertise in MATLAB, Python, and FPGA-based system design enables him to innovate in these areas. Dr. Malik aims to contribute to the advancement of AI-driven technologies for healthcare, surveillance, and human-computer interaction.

Award and Honor

Dr. Najeeb Ur Rehman Malik has been recognized for his contributions to computer vision, deep learning, and artificial intelligence through various academic and professional honors. His research in multi-view human action recognition and AI-driven healthcare solutions has been published in reputed journals, highlighting his impact in the field. During his academic career, he actively participated in technical events, conferences, and research forums, further solidifying his reputation as a dedicated scholar. He has also played a key role in organizing and volunteering at national and university-level exhibitions and competitions, showcasing his leadership and commitment to knowledge dissemination. His work on COVID-19 detection using AI and image processing techniques has received significant attention, demonstrating real-world applications of his research. While he has made commendable contributions, further recognition in the form of best paper awards, patents, and international research grants would enhance his standing in the global research community.

Research Skill

Dr. Najeeb Ur Rehman Malik possesses advanced research skills in computer vision, deep learning, and image processing, making significant contributions to AI-driven solutions. He is proficient in MATLAB and Python, leveraging machine learning frameworks like TensorFlow and PyTorch to develop multi-view human action recognition systems using convolutional neural networks (CNNs) and pose estimation techniques. His expertise extends to content-based image retrieval, feature extraction (SURF & SIFT), and embedded system design, enabling efficient AI model deployment. He is skilled in handling large datasets, performing statistical analysis, and optimizing deep learning architectures for real-world applications, including COVID-19 detection from chest X-ray images. Additionally, he has experience in academic writing, research methodology, and experimental design, ensuring high-quality publications. His ability to analyze complex problems, design innovative solutions, and collaborate on interdisciplinary research projects positions him as a strong contributor to advancements in AI, healthcare, and intelligent automation.

Conclusion

Najeeb Ur Rehman Malik is a strong candidate for the Best Researcher Award due to his technical expertise, interdisciplinary research contributions, and published works in computer vision and AI. However, improving citation metrics, securing research funding, and enhancing global collaboration would further strengthen his profile. If he has additional awards, patents, or high-impact projects, those should be highlighted in the application to maximize competitiveness.

Publications Top Noted

Cascading pose features with CNN-LSTM for multiview human action recognition
- Authors: NR Malik, SAR Abu-Bakar, UU Sheikh, A Channa, N Popescu
- Year: 2023
- Citations: 23
Robust Technique to Detect COVID-19 using Chest X-ray Images
- Authors: A Channa, N Popescu, NUR Malik
- Year: 2020
- Citations: 23
Multi-view human action recognition using skeleton based-FineKNN with extraneous frame scrapping technique
- Authors: NUR Malik, UU Sheikh, SAR Abu-Bakar, A Channa
- Year: 2023
- Citations: 18
Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review
- Authors: A Channa, N Popescu, NUR Malik
- Year: 2020
- Citations: 17
Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system
- Authors: A Memon, MWB Mustafa, TA Jumani, M Olatunji Obalowu, NR Malik
- Year: 2021
- Citations: 10
Performance comparison between SURF and SIFT for content-based image retrieval
- Authors: NUR Malik, AG Airij, SA Memon, YN Panhwar, SAR Abu-Bakar
- Year: 2019
- Citations: 8
Multiview human action recognition system based on OpenPose and KNN classifier
- Authors: NUR Malik, SAR Abu Bakar, UU Sheikh
- Year: 2022
- Citations: 5
Association of stride rate variability and altered fractal dynamics with ageing and neurological functioning
- Authors: A Channa, N Popescu
- Year: 2021
- Citations: 3
Localized Background Subtraction Feature-Based Approach for Vehicle Counting
- Authors: MA El-Khoreby, SAR Abu-Bakar, MM Mokji, SN Omar, NUR Malik
- Year: 2019
- Citations: 3

Danica Babic | Engineering | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Assoc. Prof. Dr. Danica Babic | Engineering | Best Researcher Award

University of Belgrade, Faculty of Transport and Traffic Engineering, Serbia

Prof. Dr. Danica Babić is an esteemed expert in air transport and traffic engineering, with extensive academic, research, and consultancy experience. She specializes in airline planning, transportation networks, and air passenger demand forecasting. With over 50 published papers in leading scientific journals and conference proceedings, she has made significant contributions to the field. Dr. Babić has been actively involved in international research projects, including FP7 and Horizon 2020, and has participated in numerous conferences and workshops worldwide. Her expertise extends to consulting in airport planning, network recovery, and aviation operations. She is also a program committee member of TRANSCODE and has delivered lectures on AI in aviation at global forums.

Professional Profile

Education

Dr. Babić earned her Ph.D. in Engineering (Air Transportation) from the University of Belgrade – Faculty of Transport and Traffic Engineering (UB-FTTE) in 2015, with a dissertation focused on network structure and airline scheduling optimization. Prior to that, she completed her Master’s degree in 2009 and a Bachelor’s degree in 2005, both in Air Transport Engineering from UB-FTTE. She has also participated in specialized training programs and workshops, including courses on air transport economics, risk analysis, and multimodal transport organized by leading institutions like EUROCONTROL and SESAR JU.

Professional Experience

Dr. Babić has been a faculty member at the University of Belgrade – Faculty of Transport and Traffic Engineering since 2005, holding positions ranging from Teaching Assistant to her current role as an Associate Professor. She has contributed to major research initiatives, including the European Commission-funded FP7 TRANSTOOLS 3 project and the Horizon 2020 SYN+AIR project. In addition to academia, she has served as a consultant on projects related to airline schedule optimization, airport design, and aviation demand modeling. Notably, she was involved in the sustainability study for Airport Konstantin Veliki in Niš and the technical documentation for the Pljevlja Airport and Heliport project.

Research Interests

Dr. Danica Babić’s research primarily focuses on air transport planning and optimization, with a particular emphasis on airline scheduling, airport operations, and aviation demand forecasting. She explores the complexities of airline network structures, flight scheduling efficiency, and multimodal transportation integration. Her work contributes to enhancing operational resilience in the aviation industry, optimizing passenger and cargo transport flows, and improving decision-making in air transport systems. Additionally, she is deeply involved in data-driven analysis and AI applications in aviation, leveraging machine learning and advanced statistical modeling to predict air travel demand, assess airline performance, and optimize network recovery strategies. Her research extends to the role of artificial intelligence in air traffic management, disruption management, and capacity planning. Dr. Babić is also engaged in sustainability and environmental impact assessment within aviation, working on projects related to emissions reduction, green airport initiatives, and the integration of alternative fuels to support eco-friendly air transport development.

Awards and Honors

Dr. Danica Babić has received numerous academic and professional recognitions for her contributions to the field of air transport and traffic engineering. She has been honored by the University of Belgrade for her excellence in research and teaching, recognizing her significant role in advancing aviation studies. Her doctoral thesis on “Network Structure and Airline Scheduling Optimization” was highly regarded and contributed to innovations in airline operations. She has also been recognized by international organizations for her contributions to aviation research, including her involvement in prestigious EU-funded projects like FP7 Transtools 3 and Horizon 2020 SYN+AIR. As a program committee member of the International Conference on Science and Development of Transport (TRANSCODE), she has played a key role in shaping aviation research discussions.

Conclusion

Prof. Dr. Danica Babić is a highly qualified and accomplished researcher in air transport and traffic engineering. Her extensive research publications, EU project contributions, consultancy experience, and academic leadership make her a strong candidate for the Best Researcher Award. Strengthening her global collaborations, leading independent research initiatives, and acquiring additional international recognitions would further enhance her qualifications.

Overall, she is a highly deserving nominee with impactful research in transportation and aviation. 🚀

Publications Top Noted

Market share modeling in airline industry: An emerging market economies application
- Authors: D. Babić, J. Kuljanin, M. Kalić
- Year: 2014
- Citations: 27
Modeling the selection of airline network structure in a competitive environment
- Authors: D. Babić, M. Kalić
- Year: 2018
- Citations: 22
Integrated door-to-door transport services for air passengers: From intermodality to multimodality
- Authors: D. Babić, M. Kalić, M. Janić, S. Dožić, K. Kukić
- Year: 2022
- Citations: 20
Airport Access Mode Choice: Analysis of Passengers’ Behavior in European Countries
- Authors: A. Colovic, S.G. Pilone, K. Kukić, M. Kalić, S. Dožić, D. Babić, M. Ottomanelli
- Year: 2022
- Citations: 13
The airline schedule optimization model: Validation and sensitivity analysis
- Authors: O. Babić, M. Kalić, D. Babić, S. Dožić
- Year: 2011
- Citations: 11
An AHP approach to airport choice by freight forwarder
- Authors: S. Dožić, D. Babić, M. Kalić, S. Živojinović
- Year: 2023
- Citations: 9
Airline route network expansion: Modelling the benefits of slot purchases
- Authors: D. Babić, M. Kalić
- Year: 2012
- Citations: 9
Recent trends in assessment of proposed consolidations in EU airline industry – From discretion to arbitrariness
- Authors: D. Pavlović, D. Babić
- Year: 2018
- Citations: 8
IMPACT OF COVID-19 ON THE AVIATION INDUSTRY: An overview of global and some local effects
- Authors: M. Kalić, D. Babić, S. Dožić, J. Kuljanin, N. Mijović
- Year: 2022
- Citations: 6
Predicting air travel demand using soft computing: Belgrade airport case study

Authors: M. Kalić, S. Dožić, D. Babić
Year: 2012
Citations: 6

Efikasnost aviokompanija u Evropskoj uniji: Primena AHP i DEA metoda

Authors: S. Dožić, D. Babić
Year: 2015
Citations: 4

Modelling the estimation of the airline profit in case of purchasing new slots for increasing flight frequency

Authors: D. Babić, M. Kalić
Year: 2011
Citations: 4

Introduction to the air transport system

Authors: M. Kalić, S. Dožić, D. Babić
Year: 2022
Citations: 3

Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Posted on 30/09/202430/09/2024 by ScienceFather

Prof Dr. Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Mohamed Abdel-Rahman at Military Technical College, Egypt

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman is an Associate Professor of Nuclear Engineering at the Military Technical College in Cairo, Egypt. He holds a Ph.D. in Nuclear and Radiation Engineering from the University of Surrey and has a robust academic background, including a Master’s degree in Engineering Physics and a Bachelor’s in Electrical Engineering. His research focuses on nuclear reactor technology, radiation detection, and environmental radioactivity, contributing significantly to advancements in these areas. Prof. Abdel-Rahman has published numerous research papers and actively participates in international conferences, showcasing his commitment to knowledge sharing and professional development. In addition to his research, he has extensive teaching experience across undergraduate and postgraduate courses in nuclear engineering and related fields. His leadership roles, including heading the Nuclear Engineering Department, reflect his influence and dedication to fostering the next generation of engineers and researchers in the field.

Professional Profile

Google Scholar

Education 🎓📚

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has a distinguished educational background in the field of engineering and nuclear science. He obtained his Ph.D. in Nuclear and Radiation Engineering from the University of Surrey, UK, from 2008 to 2011. Prior to this, he earned his Master’s degree in Engineering Physics from the Military Technical College (MTC) in Cairo, Egypt, between 2000 and 2003. His academic journey began with a Bachelor’s degree in Electrical Engineering, also from MTC, completed from 1992 to 1997. Throughout his education, Prof. Abdel-Rahman has developed a strong foundation in nuclear engineering principles, which he has further applied in his teaching and research. His rigorous academic training equips him with the expertise to advance knowledge in nuclear reactor technology and radiation safety, shaping future generations of engineers and researchers in the field.

Professional experience🏫💼

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has extensive professional experience in the field of nuclear engineering. He currently serves as an Associate Professor at the Military Technical College (MTC) in Cairo, Egypt, where he has held various positions since 1998, including Head of the Nuclear Engineering Department. His academic career also includes roles at the Arab Academy of Science, Technology, and Maritime Transport, where he continues to teach and conduct research. Additionally, he worked at the Liaison Technical Center for Research & Development at MTC, contributing to advancements in nuclear technology. Prof. Abdel-Rahman has international experience as a Graduate Assistant at the University of Surrey in the UK, further enriching his expertise. Throughout his career, he has taught numerous undergraduate and postgraduate courses in nuclear physics and engineering, preparing the next generation of engineers. His involvement in numerous conferences and training programs underscores his commitment to professional development in nuclear science.

Research interest🌊🔬

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman’s research interests focus on the engineering and technology of nuclear reactors and nuclear power plants. His work includes the design and analysis of sensors used in radiation detection systems, as well as measuring natural radioactivity in environmental samples using gamma spectroscopy. He is particularly interested in studying shielding properties against gamma rays and neutrons, which is crucial for enhancing safety protocols in nuclear facilities. Additionally, he conducts research on neutronic and thermal-hydraulic analyses of nuclear reactors, contributing to the optimization of reactor performance. Prof. Abdel-Rahman also explores radiation dose measurements and their applications, utilizing thermoluminescence dosimeters for accurate assessments. His research not only advances theoretical knowledge in nuclear engineering but also addresses practical challenges in the field, aiming to improve safety and efficiency in nuclear energy applications. Through his work, he significantly contributes to the understanding of nuclear technologies and their environmental implications.

Award and Honor🏅

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has received several awards and honors throughout his career, recognizing his contributions to nuclear engineering and education. His dedication to advancing knowledge in the field has earned him a respected reputation among his peers. Notably, he has been involved in numerous national and international conferences, showcasing his research and expertise in nuclear and radiation engineering. His participation in workshops organized by the International Atomic Energy Agency reflects his commitment to promoting safe and effective nuclear practices. Furthermore, his role as a mentor to students and young professionals highlights his dedication to fostering the next generation of engineers. Although specific awards and honors were not detailed in the provided information, his extensive professional experience and active engagement in the academic community suggest that he is highly regarded for his achievements and contributions to the field of nuclear science and engineering.

Conclusion

Mohamed Abdel-Rahman El-Sayed Abdel-Rahman possesses a strong candidacy for the Best Researcher Award due to his impressive academic qualifications, significant contributions to nuclear engineering, and commitment to teaching and research. His leadership and ongoing professional development reflect his dedication to advancing the field. By addressing the identified areas for improvement, particularly in outreach and publication diversity, he can further enhance his impact and effectiveness as a researcher. Overall, his profile suggests he is well-suited for this prestigious award, recognizing both his past achievements and future potential in contributing to the field of nuclear engineering.

Publications top notes📄

📄 Comparative Study Between FLUKA and Microshield Modeling Calculations
A El-Taher, HMH Zakaly, M Pyshkina, EA Allam, RM El-Sharkawy, MAE Abdel-Rahman
Zeitschrift für anorganische und allgemeine Chemie 647 (10), 1083-1090 (2021)
🔬 Effect of Heating on Physical, Mechanical, and Nuclear Radiation Shielding Properties of Modified Concrete Mixes
MG El-Samrah, MAE Abdel-Rahman, RM El Shazly
Radiation Physics and Chemistry 153, 104-110 (2018)
⚛️ Analysis of Radioactivity Levels and Hazard Assessment of Black Sand Samples from Rashid Area – Egypt
MAE Abdel-Rahman, SA El-Mongy
Nuclear Engineering and Technology 46 (2017)
🏗️ Study Characteristics of New Concrete Mixes and Their Mechanical, Physical, and Gamma Radiation Attenuation Features
MG El-Samrah, MAE Abdel-Rahman, AMI Kany
Zeitschrift für anorganische und allgemeine Chemie 644 (2), 92-99 (2018)
🔨 Mechanical and Radiation Shielding Properties of Concrete Containing Commercial Boron Carbide Powder
SE Chidiac, MG El-Samrah, MA Reda, MAE Abdel-Rahman
Construction and Building Materials 313, 125466 (2021)
📏 Determination of Uranium in Egyptian Granite Ore by Gamma, Alpha, and Mass Spectrometry
M Khattab, H Tuovinen, J Lehto, IEE Assay, MGE Feky, MAE Abdel-Rahman
Journal Instrumentation Science & Technology 45 (3), 338-348 (2016)
⚙️ Integrated Analysis of VVER-1000 Fuel Assembly Fueled with Accident Tolerant Fuel (ATF) Materials
MYM Mohsen, MAE Abdel-Rahman, AA Galahom
Annals of Nuclear Energy 159, 108330 (2021)
🔧 Thermal-Hydraulic and Solid Mechanics Safety Analysis for VVER-1000 Reactor Using Analytical and CFD Approaches
MYM Mohsen, AY Soliman, MAE Abdel-Rahman
Progress in Nuclear Energy 130, 103568 (2020)
⚠️ Radioactivity and Risk Assessment with Uncertainty Treatment for Analysis of Black Sand Minerals
MAE Abdel-Rahman, M Sabry, MR Khattab, A El-Taher, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 647 (4), 210-217 (2021)
💡 The Effect of Annealing on the X-ray Induced Photocurrent Characteristics of CVD Diamond Radiation Detectors
MAE Abdel-Rahman, A Lohstroh, PJ Sellin
physica status solidi (a) 208 (9), 2079-2086 (2011)
🔍 The X-ray Detection Performance of Polycrystalline CVD Diamond with Pulsed Laser Deposited Carbon Electrodes
MAE Abdel-Rahman, A Lohstroh, I Jayawardena, SJ Henley
Diamond and Related Materials 22, 70-76 (2012)
📊 Ore Leaching Processing for Yellow Cake Production and Assay of Their Uranium Content by Radiometric Analysis
MAE Abdel-Rahman, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (1), 29-32 (2018)
🛡️ Study of γ-Fast Neutron Attenuation and Mechanical Characteristics of Modified Concretes for Shielding and Sheltering Purposes
MAE Abdel-Rahman, AA Fouda, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 645 (8), 649-655 (2019)
📈 Analysis of Ores and Its Purified Constituents by γ-Spectrometry with Calculation of Uranium Isotopic Atom, Mass, and Activity Ratios
MAE Abdel-Rahman, H Abu Shady, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (10), 477-482 (2018)

Hasanain Kareem | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Hasanain Kareem | Engineering | Best Researcher Award

Assist Chief Engineer at University Tenaga National, Basra Oil Company, Iraq

Hasanain J. Kareem, Ph.D., is a seasoned expert in Mechanical Engineering with a specialization in Petroleum Engineering. With over 15 years of professional experience, he has become a respected figure in the field of water treatment and injection plants. He currently serves as an Assistant Chief Engineer at the Basra Oil Company, where his technical skills and leadership contribute significantly to the efficiency and sustainability of water treatment processes in oil production. His combination of academic rigor and hands-on expertise makes him a key player in addressing the complex challenges of petroleum operations. Hasanain’s research interests lie in optimizing water treatment for oil fields, focusing on innovation and sustainability. 💧🛢️👨‍🔧

Professional Profile

Scopus Profile

Education 🎓📚

Hasanain J. Kareem earned his Ph.D. in Mechanical Engineering, with a precision focus on Petroleum Engineering, from the renowned University Tenaga National (UNITEN). His academic journey is marked by a dedication to mastering the intricacies of mechanical systems and their applications in the oil and gas industry. His doctoral research centered on the development and optimization of water treatment systems critical for petroleum extraction and processing. Prior to his Ph.D., Hasanain built a strong foundation in mechanical engineering principles, which he later applied to specialized areas of petroleum engineering. His education provided him with the theoretical and technical skills necessary to tackle the real-world challenges in the petroleum sector. 🛢️📘🎓

Professional experience🏫💼

Hasanain J. Kareem boasts over 15 years of professional experience in the petroleum industry, with a particular focus on water treatment and injection plants. As an Assistant Chief Engineer at the Basra Oil Company, he plays a pivotal role in managing and optimizing the company’s water treatment operations, ensuring that petroleum production processes are both efficient and environmentally sustainable. His career is characterized by a blend of hands-on technical work and leadership in large-scale oil field projects. Hasanain’s expertise extends to water injection systems, which are vital for enhancing oil recovery and maintaining reservoir pressure. His role involves the oversight of complex engineering systems and the implementation of cutting-edge technologies that enhance both the productivity and sustainability of oil production. 🛠️💼🌍

Research interest🌊🔬

Hasanain J. Kareem’s research interests are primarily centered on the optimization of water treatment systems in petroleum engineering. His focus lies in improving the efficiency and sustainability of water injection and treatment plants, which are essential for oil recovery and environmental protection. Hasanain is particularly interested in developing innovative solutions that reduce the environmental impact of petroleum extraction, including water recycling technologies and sustainable treatment processes. He is also passionate about advancing the integration of mechanical systems with petroleum operations, aiming to enhance the overall efficiency and reduce the energy consumption of oil field operations. His research contributes to the broader goal of making oil production more sustainable, ensuring that resources are used efficiently while minimizing environmental harm. 🌍💧🔬

Award and Honor🏅

Hasanain J. Kareem has been recognized for his outstanding contributions to the field of petroleum engineering. His innovative work on water treatment systems in oil production has earned him multiple accolades within the industry. Notably, he has received commendations from the Basra Oil Company for his role in improving operational efficiency and environmental safety in water injection and treatment plants. His leadership and expertise have positioned him as a key figure in the industry, resulting in several internal awards for technical excellence and project management. While Hasanain continues to excel in his role, his achievements are a testament to his dedication to both the technical and environmental aspects of petroleum production. 🏆🔧🌟

Conclusion

Hasanain J. Kareem is a highly qualified candidate with an impressive combination of industry expertise and academic background. His long-standing role in petroleum engineering and water treatment strengthens his case for recognition in applied research categories. However, to enhance his candidacy for a Best Researcher Award, focusing on increased publication output and exploring innovative, sustainable practices in his field would be beneficial.

Publications top notes📄

Investigation of the radial uniform and variable inflow profiles to improve production in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Heat and Mass Transfer/Waerme- und Stoffuebertragung, 2024, 60(9), pp. 1537–1571
📅 2024 | 📄 0 Citations
Effect of perforation density distribution on production of perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Petroleum Exploration and Development, 2024, 51(2), pp. 464–475
📅 2024 | 📄 0 Citations
Investigation of the Static Pressure Drop and Production that Occurs due to Flow Patterns in a Perforated Horizontal Wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
WSEAS Transactions on Fluid Mechanics, 2024, 19, pp. 208–231
📅 2024 | 📄 0 Citations
Investigation of flow regimes, pressure drop, void fraction, film thickness, friction factor and production of two-phase flow in a perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Geoenergy Science and Engineering, 2023, 229, 212099
📅 2023 | 📄 1 Citation
Improving production and prediction of the flow regimes, pressure drop, and void fraction in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Nuclear Engineering and Design, 2023, 409, 112324
📅 2023 | 📄 0 Citations
Experimental investigation of holdup fraction using the trapezoidal rule, Simpson’s rule and the average offset formula in perforated horizontal wellbore
Kareem, H.J., Abdulwahid, M.A., Hasini, H.
Results in Engineering, 2023, 18, 101131
📅 2023 | 📄 1 Citation
Numerical analysis of two-phase flow patterns in vertical and horizontal pipes
Abdulwahid, M.A., Kareem, H.J., Almudhaffar, M.A.
WSEAS Transactions on Fluid Mechanics, 2017, 12, pp. 131–140
📅 2017 | 📄 15 Citations

Balaji M | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Balaji M | Engineering | Best Researcher Award

Assistant Professor at Mohan Babu University, India

Dr. M. Balaji is a dedicated academician and researcher with over 12 years of experience in the field of Electronics and Communication Engineering (ECE). He holds a Ph.D. from JNTU Anantapur, specializing in RNS-based FIR filters for DSP applications. He is passionate about both teaching and research, currently serving as an Assistant Professor in the Department of ECE at Mohan Babu University. His contributions to academia include publications in reputed Scopus and Elsevier-indexed journals, focusing on high-speed and low-power DSP applications. Dr. Balaji has been instrumental in developing innovative techniques for FIR filter design, and his work is recognized through numerous awards and honors. A committed mentor, he enjoys guiding students and fostering a collaborative academic environment. He has also actively contributed to curriculum development, enhancing learning outcomes for his students.

Professional Profile

Education 🎓📚

Dr. M. Balaji’s educational journey is marked by a strong foundation in Electronics and Communication Engineering. He earned his Ph.D. from JNTU Anantapur in 2023, with a thesis titled “Delay and Area Optimization of RNS-Based FIR Filter for DSP Applications.” His doctoral research introduced advanced techniques for optimizing the design of finite impulse response filters, a critical component in modern communication systems. Prior to his Ph.D., Dr. Balaji completed his M.Tech in Embedded Systems from Hasvitha Institute of Engineering & Technology, affiliated with JNTU Hyderabad, graduating with distinction. He also holds a B.Tech in Electronics and Communication Engineering from Sree Vidyanikethan Engineering College, where he laid the groundwork for his future research in digital signal processing and filter design. His academic background combines practical engineering skills with cutting-edge research in embedded systems and communication technology.

Professional experience🏫💼

Dr. M. Balaji has over 12 years of professional experience, primarily as an Assistant Professor at Mohan Babu University, formerly Sree Vidyanikethan Engineering College. He began his academic career in 2006 in the Department of EIE and later transitioned to the Department of ECE in 2012. Throughout his career, Dr. Balaji has been recognized for his excellence in teaching and research, actively contributing to curriculum development and mentoring students in advanced topics such as VLSI design, embedded systems, and digital signal processing. His research expertise lies in optimizing FIR filter design using RNS, which has earned him recognition in both academic and professional circles. Dr. Balaji has also participated in numerous faculty development programs and workshops on cutting-edge topics such as AI, machine learning, and VLSI, further enhancing his skills as both an educator and researcher.

Research interest🌊🔬

Dr. M. Balaji’s research interests revolve around digital signal processing (DSP), specifically the optimization of finite impulse response (FIR) filters using Residue Number Systems (RNS). His Ph.D. work introduced innovative methods for reducing delay and area in FIR filter designs, addressing critical challenges in high-speed and low-power applications. His research has broad applications in fields such as telecommunications, radar systems, and VLSI design. Dr. Balaji is also deeply invested in exploring machine learning and artificial intelligence applications within VLSI and embedded systems, aiming to enhance system performance and efficiency. He is particularly focused on the integration of RNS-based architectures with modern computing technologies, working to develop scalable, efficient solutions for next-generation communication systems. His research has been widely published in Scopus and Elsevier-indexed journals, positioning him as a leading expert in signal processing and embedded systems.

Award and Honor🏅

Dr. M. Balaji has received numerous accolades throughout his academic career. In 2023, he was honored with the prestigious MBU Chancellor’s Award for his exceptional contributions to the field of ECE. His academic excellence was also recognized with the NPTEL Discipline Star from IIT Madras, showcasing his dedication to professional development through various NPTEL courses. Dr. Balaji has completed multiple advanced certification programs, including those in Integrated Circuits and Applications and Digital Electronic Circuits, further solidifying his expertise in the field. His participation in national and international conferences has resulted in awards for his innovative research on high-speed and low-power DSP applications. He is a frequent speaker and presenter at academic conferences, reflecting his leadership in advancing RNS-based FIR filter design. These honors highlight his commitment to advancing research and education in embedded systems and signal processing.

Conclusion

Dr. M. Balaji’s strong academic foundation, innovative research, and significant contributions to the field of embedded systems and DSP position him as an excellent candidate for the Best Researcher Award. With a focus on interdisciplinary collaboration and expanding his research impact, Dr. Balaji could further solidify his position as a leader in his field.

Publications top notes📄

Ternary Adder and Multiplier Design Using GNRFETs
- Authors: Balaji, M., Padmaja, N., Saleha, A., Basha, S.J.
- Year: 2024
- Citation: AIP Conference Proceedings, 3111(1), 050001
- 📝 Conference Paper
RNS-Based FIR Filter Design with Memoryless Distributed Arithmetic Filtering for High-Speed and Low-Power Applications
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: AIP Conference Proceedings, 2966(1), 050001
- 📝 Conference Paper (Open Access)
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: Measurement: Sensors, 31, 101014
- 📄 Journal Article (Open Access)
- Citations: 2
Revolutionizing WSN: Experimental Design of an Energy-Efficient Communication Protocol Using Improved BEE Colony Clustering Model
- Authors: Priyaradhikadevi, T., Vijayakumari, P., Balaji, M., Chinnammal, V., Vijay, S.
- Year: 2024
- Citation: Proceedings of ACCAI 2024, 3rd International Conference on Advances in Computing, Communication and Applied Informatics
- 📝 Conference Paper
Performance Parameters Estimation of High-Speed Silicon/Germanium/InGaAsP Avalanche Photodiodes in Ultra-High-Speed Optical Communication Systems
- Authors: Gopalan, A., Arulmozhi, A.K., Pandian, M.M., Balaji, M., Taher, A.M.
- Year: 2024
- Citation: Journal of Optical Communications
- 📄 Journal Article
Deep Learning Approach for Smart Home Security Using 5G Technology
- Authors: Amanullah, M., Chaudhary, S., Yalini, R., Vijaya Sudha, M., Dhanraj, J.A.
- Year: 2024
- Citation: Proceedings of ICABCS 2023, Artificial Intelligence, Blockchain, Computing, and Security, Vol 1, pp. 563–568
- 📝 Conference Paper
High-Speed and Area-Efficient RNS-Based FIR Filter Design Using Distributed Arithmetic Approach
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: AIP Conference Proceedings, 2901(1), 090007
- 📝 Conference Paper
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Adders and Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: SSRG International Journal of Electrical and Electronics Engineering, 10(10), pp. 151–164, IJEEE-V10I10P115
- 📄 Journal Article (Open Access)
Design and Development of EEG Signal-Based Driver Activity Recognition and Monitoring System
- Authors: Ramachandran, R., Ramya, G., Titus, A., Balaji, M., Bharaneedharan, M.
- Year: 2023
- Citation: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication, and Smart Electrical Systems (ICSES 2023)
- 📝 Conference Paper
Deep Learning Approach for Smart Home Security Using 5G Technology

Authors: Amanullah, M., Chaudhary, S., Yalini, R., Sudha, M.V., Dhanraj, J.A.
Year: 2023
Citation: Artificial Intelligence, Blockchain, Computing, and Security: Volume 1, pp. 563–568
📖 Book Chapter

Yurong Sun | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Ms. Yurong Sun | Engineering | Best Researcher Award

Student at Southwest Jiaotong University, China

🧑‍🔬 Yurong Sun is a Ph.D. candidate at Southwest Jiaotong University with a background in antenna design and optimization. He earned his Master’s degree from Qufu Normal University, focusing on cutting-edge electromagnetic engineering topics such as magnetic dipole antennas. Sun has a strong track record of publishing impactful research, contributing extensively to antenna technologies that advance wireless communication and millimeter-wave applications. With numerous journal articles to his name, his work is highly regarded in the field. His dedication to improving antenna performance and efficiency is evident in his innovative approaches. Sun’s passion for research continues to drive him toward making breakthroughs in antenna array designs, ensuring high-gain, wideband capabilities, and low-profile configurations for real-world use cases. 📡

Professional Profile

ORCID Profile

Education 🎓📚

2020-2023: Master’s Degree in Engineering, Qufu Normal UniversitySun completed his Master’s degree in engineering, focusing on high-gain antennas and antenna array design. His rigorous academic training allowed him to develop expertise in electromagnetic theory and practical antenna solutions.
2023-Present: Pursuing Ph.D., Southwest Jiaotong UniversitySun is currently pursuing his Ph.D. at Southwest Jiaotong University, where he is diving deeper into the design and optimization of antennas, particularly in millimeter-wave applications. His research aims to enhance antenna efficiency and minimize radar cross-sections, contributing to advancements in telecommunications and defense. His commitment to academic excellence has been demonstrated through his published research, pushing the boundaries of antenna technology. 📚

Professional experience🏫💼

Yurong Sun has amassed a wealth of experience in the field of electromagnetic engineering. As a researcher, his primary focus has been on designing and optimizing high-gain antennas, with a particular emphasis on millimeter-wave and magneto-electric dipole arrays. He has collaborated with industry experts and academics, contributing to innovative solutions in wireless communication and radar systems. His published works have appeared in leading journals like Microwave and Optical Technology Letters and Electromagnetics. Sun’s participation in international conferences and collaborative projects, such as the International Applied Computational Electromagnetics Society (ACES-China), has allowed him to exchange ideas and stay at the forefront of antenna technology. Through his research, Sun has become a key contributor to the next generation of antenna designs, offering solutions to improve bandwidth, gain, and efficiency. 🚀

Research interest🌊🔬

Yurong Sun’s research focuses on antenna design and optimization, with a particular interest in magnetic dipole antennas, millimeter-wave applications, and high-gain, wideband solutions. His work explores ways to enhance the efficiency and performance of antennas used in telecommunications, radar, and satellite systems. He is particularly interested in reducing the radar cross-sections of antennas, making them more suitable for defense applications. Sun’s current research investigates innovative configurations like planar end-fire antennas and circularly polarized magneto-electric dipole arrays to address the challenges of modern communication systems. His studies not only advance theoretical knowledge but also have practical implications for the real-world deployment of antennas in high-frequency environments. His forward-thinking research continues to make significant strides toward improving wireless communication, antenna miniaturization, and enhanced bandwidth efficiency. 🌐📶

Award and Honor🏅

Although Yurong Sun is still early in his academic career, his contributions have already been recognized through multiple prestigious publications and participation in leading conferences. His papers in renowned journals such as Microwave and Optical Technology Letters and Electromagnetics have positioned him as an emerging talent in antenna design. His work has earned commendations for improving millimeter-wave antenna performance and offering real-world solutions for communication technology. Sun’s participation in the 2022 International Applied Computational Electromagnetics Society (ACES-China) conference highlights his growing presence in the academic community. As he continues to advance his research, he is likely to attract further recognition for his groundbreaking work in antenna technology and his contributions to the future of wireless communication. 🌟

Conclusion

Overall, Yurong Sun is highly qualified for the Best Researcher Award based on his focused contributions to antenna technology and wide-ranging published works. His dedication to high-gain, wideband antenna designs, and low-profile configurations for millimeter-wave applications is advancing the field. A broader impact on the global research community through interdisciplinary work and leadership in international collaborations would make him an even stronger candidate.

Publications top notes📄

📚 Sun, Y, Meng, W, Xu, J. High-gain and wideband differentially fed circularly polarized planar aperture antenna. Microw Opt Technol Lett. 2022; 64: 2059-2066.
🌐 Topic: Wideband circularly polarized antennas.
📚 Sun, Y, Meng, W, Xu, J. A dual-band high-gain magneto-electric dipole antenna array for millimeter-wave applications. Int J RF Microw Comput Aided Eng. 2022; 32(11): e23362.
📡 Topic: Millimeter-wave applications and high-gain dipole arrays.
📝 Yurong Sun, Juan Xu. Millimeter-Wave Ultrawideband and Gain Enhancement Planar End-fire Antenna. 2022 International Applied Computational Electromagnetics Society (ACES-China), Xuzhou, China, 2022.
📶 Topic: Ultrawideband and gain-enhanced planar antennas.
📚 Du, Y, Sun, Y, Guo, W, Xu, J. A broadband and low-profile magnetoelectric dipole antenna with low radar cross section. Microw Opt Technol Lett. 2022; 1-9.
🛡️ Topic: Antenna with low radar cross-section.
📚 Wang, K, Sun, Y, Meng, W, Xu, J. High-gain miniaturized magnetoelectric dipole antenna array for millimeter-wave applications. Microw Opt Technol Lett. 2023; 65: 1770-1777.
📡 Topic: Miniaturized antenna arrays for high-frequency use.
📚 Meng, W, Sun, Y, Li, Y, Xu, J. Wideband miniaturized circularly polarized magnetoelectric dipole antenna array for millimeter-wave applications. Microw Opt Technol Lett. 2024; 66: e34086.
🌍 Topic: Circularly polarized dipole antenna arrays.
📚 Xu, J., Zhang, L., Sun, Y. Rhombic arrangement of low-profile broadband circularly polarized magneto-electric dipole antenna array. Electromagnetics. 2024; 1–18.
🛠️ Topic: Innovative rhombic antenna array designs.