Hazrat Bilal | Robotics Engineering | Young Scientist Award

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Dr. Hazrat Bilal |Robotics Engineering
| Young Scientist Award

Postdoctoral Research Fellow at Shenzhen University, China .

Dr. Hazrat Bilal is a highly accomplished researcher and Postdoctoral Fellow at Shenzhen University, China. With a Ph.D. in Control Science & Engineering from the University of Science & Technology of China, he brings exceptional expertise in intelligent robotics, deep learning, and fault diagnosis. Dr. Bilal has authored over 30 high-impact publications and has earned 1200+ citations (h-index: 12). His outstanding academic record is complemented by rich industry experience and several prestigious fellowships and awards. A dedicated IEEE member and registered engineer with PEC, he is passionate about pushing the boundaries of intelligent automation. His remarkable early-career accomplishments and leadership in research make him a strong candidate for the Young Scientist Award.

🌍 Professional Profile:

Scopus 

Orcid

Google scholar

🏆 Suitability for the Best Researcher Award


Dr. Hazrat Bilal is a highly deserving candidate for the Young Scientist Award, with an exceptional academic record (Ph.D., USTC, GPA 3.88/4.00; M.S., NUST, GPA 3.85/4.00). As a Postdoctoral Fellow at Shenzhen University, he has made significant contributions to intelligent robotics, fault diagnosis, and AI-driven control systems. With over 15 high-impact Q1/Q2 journal publications—including in the IEEE IoT Journal, Soft Computing, Bioengineering, and Human-centric Computing—his research demonstrates innovation and practical value. His interdisciplinary work in blockchain-enabled IoRT, fuzzy-ADRC control, and AI for medical and UAV systems reflects his leadership in emerging technologies. With over 1200 citations and global collaborations, Dr. Bilal stands out as a promising young researcher committed to advancing intelligent and sustainable technologies.

🎓 Education 

Dr. Hazrat Bilal’s academic journey reflects a commitment to excellence in engineering and research. He earned his Ph.D. in Control Science & Engineering from the University of Science & Technology of China (2018–2024), maintaining an exceptional GPA of 3.88/4.00. Prior to that, he completed his Master’s degree in the same field at Nanjing University of Science & Technology (2015–2018) with a GPA of 3.85/4.00 and received an Outstanding Graduate Certificate. His undergraduate studies in Electrical (Electronics) Engineering were completed at FUUAST Islamabad, Pakistan (2010–2014), earning a GPA of 3.18/4.00. This strong academic foundation underpins his work in robotics, automation, and advanced control systems.

🏢 Work Experience 

Dr. Bilal brings interdisciplinary and global experience from academia and industry. He worked as a Performance Software Engineer at ZF Friedrichshafen, Shanghai, where he developed vision algorithms and optimized embedded system performance. Prior to that, he served as a Telecom Engineer at Real Solution Pvt. Ltd., Pakistan, contributing to 3G system installations and RF optimization. He also worked at Dargai Hydropower Plant as a Control Engineer, where he led power generation and preventive maintenance operations. Additionally, he completed internships and technical training at the National Telecommunication Corporation, University of Tennessee (USA), and CAE Pakistan. These roles have refined his expertise in automation, control systems, robotics, and smart grid technologies.

🏅 Awards and Honors 

Dr. Hazrat Bilal has received numerous awards recognizing his academic excellence and innovation. He is a recipient of the CAS-TWAS Fellowship Award at USTC and the NMG-NUST Joint Scholarship for his master’s studies. His exceptional performance earned him the Outstanding Graduate Certificate from Nanjing University of Science & Technology. As an undergraduate, he was awarded scholarships from Akhuwat Foundation and Pakistan Bait-ul-Mal, along with a Prime Minister’s Laptop under the national scheme. He secured funding for his final-year project through the National Grassroots ICT R&D Program. Dr. Bilal also received a Letter of Appreciation from IEEE FUUAST and continues to excel as an IEEE member and professional contributor to engineering societies.

🔬 Research Focus 

Dr. Hazrat Bilal’s research lies at the intersection of robotic control systems, artificial intelligence, and fault diagnosis. His recent works emphasize hybrid deep learning algorithms for the Internet of Robotic Things (IoRT), adaptive control of flexible manipulators, and trajectory tracking. He has proposed advanced techniques integrating fuzzy logic, ADRC, CNNs, LSTMs, and blockchain for secure, intelligent, and resilient systems. His current research includes generative AI for traffic simulation, nanorobot control, and intelligent medical diagnosis using AI. Dr. Bilal’s work contributes significantly to the future of smart manufacturing, healthcare, and autonomous vehicles. His focus on interdisciplinary, experimental, and data-driven approaches positions him as a leader in intelligent control systems.

📊 Publication Top Notes:

  • Title: A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
    Authors: H. Xu, Z. Sun, Y. Cao, H. Bilal
    Journal: Soft Computing, 27(19), 14469–14481
    Citations: 172
    Year: 2023

  • Title: Pruning filters with L1-norm and capped L1-norm for CNN compression
    Authors: A. Kumar, A. M. Shaikh, Y. Li, H. Bilal, B. Yin
    Journal: Applied Intelligence, 51(2), 1152–1160
    Citations: 147
    Year: 2021

  • Title: A practical study of active disturbance rejection control for rotary flexible joint robot manipulator
    Authors: H. Bilal, B. Yin, M. S. Aslam, Z. Anjum, A. Rohra, Y. Wang
    Journal: Soft Computing, 27(8), 4987–5001
    Citations: 128
    Year: 2023

  • Title: Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach
    Authors: H. Bilal, B. Yin, A. Kumar, M. Ali, J. Zhang, J. Yao
    Journal: Soft Computing, 27(7), 4029–4039
    Citations: 118
    Year: 2023

  • Title: Experimental validation of fuzzy PID control of flexible joint system in presence of uncertainties
    Authors: H. Bilal, W. Yao, Y. Guo, Y. Wu, J. Guo
    Conference: 2017 36th Chinese Control Conference (CCC), 4192–4197
    Citations: 115
    Year: 2017

  • Title: Real-time lane detection and tracking for advanced driver assistance systems
    Authors: H. Bilal, B. Yin, J. Khan, L. Wang, J. Zhang, A. Kumar
    Conference: 2019 Chinese Control Conference (CCC), 6772–6777
    Citations: 101
    Year: 2019

  • Title: Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles
    Authors: Q. Wu, X. Li, K. Wang, H. Bilal
    Journal: Soft Computing, 27(23), 18195–18213
    Citations: 90
    Year: 2023

  • Title: Reduction of multiplications in convolutional neural networks
    Authors: M. Ali, B. Yin, A. Kunar, A. M. Sheikh, H. Bilal
    Conference: 2020 39th Chinese Control Conference (CCC), 7406–7411
    Citations: 85
    Year: 2020

  • Title: Second-order convolutional network for crowd counting
    Authors: L. Wang, Q. Zhai, B. Yin, H. Bilal
    Conference: Fourth International Workshop on Pattern Recognition, 11198, 158–163
    Citations: 83
    Year: 2019

  • Title: A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
    Authors: H. Dou, Y. Liu, S. Chen, H. Zhao, H. Bilal
    Journal: Soft Computing, 27(21), 16373–16388
    Citations: 82
    Year: 2023

  • Title: Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection
    Authors: M. Ali, B. Yin, H. Bilal, A. Kumar, A. M. Shaikh, A. Rohra
    Journal: Multimedia Tools and Applications, 83(12), 36307–36327
    Citations: 50
    Year: 2024

Ibrahim Seleem | Soft robots | Young Scientist Award

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Assist. Prof. Dr. Ibrahim Seleem | Soft robots | Young Scientist Award

Assist. Prof. Dr. Ibrahim Seleem, Tokyo University of Science, Japan

Dr. Ibrahim A. Seleem is an accomplished researcher specializing in bioinspired robotics, motion planning, and human-robot interaction. Born on January 17, 1990, in Egypt, he holds a Ph.D. in Mechatronics and Robotics from Egypt-Japan University of Science and Technology (EJUST). With a passion for cutting-edge innovations, he has made significant contributions to soft robotics, especially in medical applications such as colonoscopy and rehabilitation. Dr. Seleem has a rich academic and research background, including postdoctoral positions in Japan. His work has been published in esteemed journals and conferences, showcasing his expertise in continuum robots and machine learning. Currently, he is a postdoctoral researcher at Tokyo University of Science, working on groundbreaking projects in robotics and automation. 🌟

🌍 Professional Profile:

Orcid

🏆 Suitability for the Young Scientist Award

Dr. Ibrahim A. Seleem‘s exceptional achievements in robotics and automation make him a standout candidate for the Young Scientist Award. At just 35, he has an impressive track record, including cutting-edge research on bioinspired and soft robotics for healthcare. His innovative solutions, such as extensible cable-driven robots for colonoscopy and wearable soft devices for rehabilitation, demonstrate ingenuity and societal impact. Dr. Seleem’s academic journey reflects excellence, with a Ph.D. and multiple postdoctoral positions in Japan, where he secured competitive grants and fellowships. His publications in prestigious journals, collaborative projects, and active participation in international conferences affirm his commitment to advancing robotics. Dr. Seleem exemplifies the spirit of a young scientist poised to revolutionize his field. 🚀🔬

🎓 Education 

Dr. Ibrahim A. Seleem has a distinguished academic background in engineering and robotics. He earned his B.Sc. in Industrial Electronics and Control Engineering from Menoufia University, Egypt, where his thesis focused on designing and controlling a 5-axis CNC machine. He further pursued an M.Sc. in Mechatronics and Robotics at the Egypt-Japan University of Science and Technology (EJUST), working on trajectory generation and stability for under-actuated biped robots. His Ph.D., also from EJUST, explored demonstration-based pose planning and control for continuum robots, marking a significant contribution to robotic motion planning. Dr. Seleem’s academic credentials are bolstered by his scholarships and grants, underscoring his dedication to advancing knowledge and technology in robotics and control engineering. 🎓📚

🏢 Work Experience 

Dr. Ibrahim A. Seleem brings over a decade of experience in teaching, research, and development. Starting as a Teaching Assistant at Menoufia University, he taught courses in nonlinear control systems, microcontrollers, and modular servo systems. He advanced to Assistant Professor and later pursued international research opportunities as a JSPS Fellow and Postdoctoral Researcher in Japan. At institutions like Waseda University and Tokyo University of Science, Dr. Seleem has worked on transformative projects in bioinspired and soft robotics, collaborating with renowned experts and publishing impactful studies. His work spans from designing tendon-driven robots to developing wearable rehabilitation devices, demonstrating his profound technical expertise and innovation in robotics. 🛠️🌍

🏅 Skills

Dr. Seleem possesses a robust skill set in robotics and automation. Proficient in programming languages such as MATLAB and Python, he excels in designing and simulating robotic systems. His expertise includes advanced tools like ROS, SolidWorks, and INVENTOR for robotic modeling and control. Multilingual, he communicates fluently in Arabic, English, and basic Japanese. Dr. Seleem’s academic skills encompass research, teaching, and publication using Office 365 and LATEX. His technical proficiency is matched by his creativity in solving complex problems in robotics and his ability to collaborate across disciplines, making him a valuable asset to any research team.

🔬 Research Focus 

Dr. Ibrahim A. Seleem’s research revolves around bioinspired robotics, soft robotics, and human-robot interaction. His work aims to enhance the design, motion planning, and control of robots to address complex challenges, particularly in healthcare. Notable projects include developing tendon-driven soft robots with variable stiffness for minimally invasive procedures, pneumatic-actuated wearable devices for wrist rehabilitation, and imitation-based motion planning for continuum robots. Dr. Seleem integrates machine learning with robotics to achieve precise and adaptive control, making his research highly interdisciplinary. His focus on real-world applications, such as colonoscopy and rehabilitation, showcases the societal impact of his work, positioning him as a leader in robotics innovation. 🌐🔧

📊 Publication Top Notes:

Imitation-Based Motion Planning and Control of A Multi-Section Continuum Robot Interacting with the Environment
Citation: IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2023.3239306
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023

Imitation-based Path Planning and Nonlinear Model Predictive Control of a Multi-Section Continuum Robots
Citation: Journal of Intelligent & Robotic Systems, DOI: 10.1007/s10846-023-01811-8
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023

Recent Developments of Actuation Mechanisms for Continuum Robots: A Review
Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-022-0159-8
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023

Development and Stability Analysis of an Imitation Learning-based Pose Planning Approach for Multi-section Continuum Robot
Citation: IEEE Access, DOI: 10.1109/access.2020.2997636
Authors: Ibrahim Seleem
Year: 2020

Demonstration-Guided Pose Planning and Tracking for Multi-Section Continuum Robots Considering Robot Dynamics
Citation: IEEE Access, DOI: 10.1109/ACCESS.2019.2953122
Authors: Ibrahim A. Seleem, Samy F. M. Assal, Hiroyuki Ishii, Haitham El-Hussieny
Year: 2019

Development of a Demonstration-Guided Motion Planning for Multi-section Continuum Robots
Citation: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), DOI: 10.1109/smc.2018.00066
Authors: Ibrahim Seleem
Year: 2018

Motion Planning for Continuum Robots: A Learning from Demonstration Approach
Citation: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), DOI: 10.1109/roman.2018.8525601
Authors: Ibrahim Seleem
Year: 2018

Cyclic gait planning and control of underactuated five-link biped robot during single support and impact phases for normal walking
Citation: 2018 IEEE International Conference on Industrial Technology (ICIT), DOI: 10.1109/icit.2018.8352163
Authors: Ibrahim Seleem
Year: 2018

Sliding mode control of underactuated five-link biped robot for climbing stairs based on real human data
Citation: 2017 IEEE International Conference on Industrial Technology (ICIT), DOI: 10.1109/icit.2017.7915475
Authors: Ibrahim Seleem
Year: 2017

A Neuro Fuzzy-Based Gait Trajectory Generator for a Biped Robot Using Kinect Data
Citation: 2016 3rd International Conference on Information Science and Control Engineering (ICISCE), DOI: 10.1109/icisce.2016.168
Authors: Ibrahim Seleem
Year: 2016

Erika Alves Tavares Marques | Engineering | Best Researcher Award

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Dr. Erika Alves Tavares Marques | Engineering | Best Researcher Award

Federal University of Pernambuco, Brazil

👨‍🎓Profiles

🎓 Early Academic Pursuits

Érika Alves Tavares Marques began her academic journey with a strong foundation in biology and environmental management. Her advanced studies led her to specialize in Environmental Management and Control, followed by a master’s degree in Environmental Technology. Pursuing her passion for interdisciplinary research, she earned her doctorate in Development and Environment (PRODEMA), focusing on innovative approaches to environmental sustainability.

💼 Professional Endeavors

Currently a Postdoctoral Researcher at the Federal University of Pernambuco in Brazil, She contributes to significant advancements in environmental science and technology. Her expertise spans water quality, solid waste management, and sustainable environmental practices. She also holds a position on the editorial boards of numerous international journals, solidifying her influence in the field.

🌍 Contributions and Research Focus

Her research emphasizes integrated environmental management systems, particularly in the semi-arid regions of Brazil. Her projects have tackled pressing issues like adaptive governance and water security under the climate emergency, showcasing her dedication to bridging the gap between research and practical environmental solutions.

🌟 Impact and Influence

She has spearheaded multiple groundbreaking projects, including the development of decision support systems for environmental management and integrated water management models under climate change scenarios. These efforts have not only addressed critical regional challenges but also set benchmarks for global environmental governance.

📖 Academic Citations

With an extensive research portfolio, Her contributions are well-recognized in the academic community. Her citation index reflects the widespread impact of her work on sustainable environmental practices and water resource management.

💻 Technical Skills

She possesses advanced expertise in environmental monitoring, data analysis, and ecosystem modeling. Her skills enable her to develop innovative tools and methodologies for assessing and addressing ecological challenges.

🎓 Teaching Experience

Beyond research, She is dedicated to mentoring and teaching. She has contributed to developing future environmental leaders by guiding students and participating in educational programs that promote awareness of sustainable practices.

🏆 Legacy and Future Contributions

Her legacy is defined by her commitment to sustainability and innovation. She continues to focus on adaptive governance strategies, particularly in managing water resources amidst climate challenges. Her ongoing research into the female presence in the food-water-energy nexus within the Caatinga biome underscores her dedication to inclusive and impactful environmental solutions.

📚 Publications and Editorial Roles

She has authored influential works, such as Piscicultura e Sistema de Wetland Construída no Semiárido (2018), and serves on the editorial boards of esteemed journals like the International Journal of Hydrology. Her prolific contributions have shaped discussions on environmental management and sustainability globally.

🤝 Professional Memberships

As a member of the CRBio 5 (Regional Biology Council 5th Region), She actively participates in advancing the biology and environmental science professions. Her collaborations with journals and organizations further emphasize her leadership and influence.

🚀 Vision for the Future

With a strong foundation in environmental research and practical applications, She aims to enhance global sustainability practices. Her focus on adaptive and integrated management systems will continue to drive meaningful change, ensuring a resilient and equitable future for ecosystems and communities worldwide.

📖Notable Publications

Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework

Authors: Lins, E.J.M.; Palha, R.P.; Sobral, M.D.C.M.; Araújo, A.G.D.; Marques, É.A.T.

Journal: Sustainability (Switzerland)

Year: 2024

 

Spatial-temporal evaluation of water quality in Brazilian semiarid reservoirs

Authors: Rossiter, K.W.L.; Marques, E.A.T.; Ricardo De, C.; Elena Matta, O.; Morais, M.M.

Journal: Water Practice and Technology

Year: 2020

 

Master plans in articulation of water resource management with land use around reservoirs

Authors: Calado, T.O.; Cardoso, A.S.; Marques, É.A.T.; Sobral, M.D.C.

Journal: Revista Brasileira de Geografia Fisica

Year: 2020

 

Management of tropical river basins and reservoirs under water stress: Experiences from northeast Brazil

Authors: Marques, É.T.; Gunkel, G.; Sobral, M.C.

Journal: Environments - MDPI

Year: 2019

 

Assessing the negative impact of an aquaculture farm on effluent water quality in Itacuruba, Pernambuco, Brazilian semiarid region

Authors: Marques, E.A.T.; Da Silva, G.M.N.; De Oliveira, C.R.; Cunha, M.C.C.; Do Carmo Sobral, M.

Journal: Water Science and Technology

Year: 2018