Amr Shafik | Engineering | Best Researcher Award

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

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

 

 

Danica Babic | Engineering | Best Researcher Award

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

  1. Market share modeling in airline industry: An emerging market economies application
    • Authors: D. Babić, J. Kuljanin, M. Kalić
    • Year: 2014
    • Citations: 27
  2. Modeling the selection of airline network structure in a competitive environment
    • Authors: D. Babić, M. Kalić
    • Year: 2018
    • Citations: 22
  3. 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
  4. 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
  5. The airline schedule optimization model: Validation and sensitivity analysis
    • Authors: O. Babić, M. Kalić, D. Babić, S. Dožić
    • Year: 2011
    • Citations: 11
  6. An AHP approach to airport choice by freight forwarder
    • Authors: S. Dožić, D. Babić, M. Kalić, S. Živojinović
    • Year: 2023
    • Citations: 9
  7. Airline route network expansion: Modelling the benefits of slot purchases
    • Authors: D. Babić, M. Kalić
    • Year: 2012
    • Citations: 9
  8. Recent trends in assessment of proposed consolidations in EU airline industry – From discretion to arbitrariness
    • Authors: D. Pavlović, D. Babić
    • Year: 2018
    • Citations: 8
  9. 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
  10. Predicting air travel demand using soft computing: Belgrade airport case study
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2012
  • Citations: 6
  1. Efikasnost aviokompanija u Evropskoj uniji: Primena AHP i DEA metoda
  • Authors: S. Dožić, D. Babić
  • Year: 2015
  • Citations: 4
  1. 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
  1. Introduction to the air transport system
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2022
  • Citations: 3