Qingling Zhao | Computer Science | Research Excellence Award

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Prof. Qingling Zhao | Computer Science | Research Excellence Award

Nanjing University of Science and Technology | China

Prof. Qingling Zhao is a leading researcher in embedded systems, real-time systems, mixed-criticality scheduling, and intelligent computing, with significant contributions spanning system architecture, cyber–physical systems, and AI-driven embedded intelligence. With an h-index of 12, 26 scholarly documents, and 456 citations across 345 citing publications, the research output demonstrates sustained academic impact. The work covers core areas such as mixed-criticality scheduling theory, resource synchronization, stack memory optimization, AUTOSAR model optimization, and schedulability analysis, alongside recent advances in deep learning, reinforcement learning optimization, network-on-chip systems, intrusion detection, and remote sensing object detection. Publications appear in high-impact venues including ACM Transactions on Embedded Computing Systems, IEEE Transactions, Journal of Systems Architecture, IEEE Access, and major international conferences. Recent research extends classical real-time system theory toward AI-enabled embedded and cyber-secure systems, reflecting a strong integration of theoretical rigor and practical applicability across safety-critical and intelligent computing platforms.

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Featured Publications

Patruni Rajshekhar Rao | Computer Science | Best Researcher Award

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Mr. Patruni Rajshekhar Rao | Computer Science | Best Researcher Award

FTD Infocom Pvt Ltd | India

Mr. Patruni Rajshekhar Rao is an avionics research professional whose work integrates test and verification engineering, data analysis, and safety-critical system evaluation across aerospace platforms. His contributions span functional RTL verification, aerospace data analysis, and reliability assessment of embedded systems. His early work involved functional verification of ARINC818 protocol IP cores, where he designed assertion-based test benches using VHDL and file-driven debugging to enhance precision in timing-sensitive validation. He later expanded into flight data analysis for advanced aircraft systems such as the SARAS platform, performing hardware–software integration testing, developing low-level test cases, and analyzing stall-warning system performance. His research also includes pioneering efforts in software health management, where he explored self-healing software systems using AI-driven methods to automate fault detection and recovery in avionics architectures. He has contributed to safety-critical processes aligned with DO-178B and DO-254 standards, including MCDC-level testing for auto-generated code in A-FADEC systems and performing dynamic and static analysis to identify and mitigate software defects. Across conferences and journals, he has published studies on verification methodologies, safety criteria, IP-core validation procedures, and AI-based static analysis, reinforcing his role in advancing dependable avionics engineering.

Profile : Scopus

Featured Publications

Nanda, M., & Rao, P. R. (2018, May 17). Implementation and verification of an asynchronous FIFO under boundary conditions (Paper ID: NCESC18-181). National Conference on Electronics, Signals and Communication (NCESC-2018), GSSS Institute of Engineering & Technology for Women, Mysore.

Nanda, M., Jayanthi, J., & Rao, P. R. (2018, May 18–19). Aerospace compliant test bench to verify critical aerospace functionalities (Paper ID: CRP18-1007). 3rd International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT-2018), Department of Electronics and Communication Engineering, SVCE, Bangalore.

Nanda, M., & Rao, P. R. (2018). An approach for generating self-checking test bench. International Journal for Research in Applied Science and Engineering Technology, 6(6). (Paper ID: IJRASET17914).

Nanda, M., & Rao, P. R. (2018). Aerospace data bus safety criteria as per DO-254. International Journal of Research and Innovation in Applied Science, 3(6).

Nanda, M., & Rao, P. R. (2018). A procedure to verify and validate an FPGA level testing as per DO-254. International Journal of Research and Innovation in Applied Science, 3(6).

Nanda, M., & Rao, P. R. (2018). Verification cases and procedure for IP-core development. International Journal of Engineering Research and Advanced Technology. (ISSN 2454-6135).

Shima Sadaf | Electrical Engineering | Best Academic Researcher Award

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Assist. Prof. Dr. Shima Sadaf | Electrical Engineering | Best Academic Researcher Award

King Faisal University | Saudi Arabia

Assist. Prof. Dr. Shima Sadaf is a highly accomplished researcher in materials science, nanotechnology, electrochemistry, and energy systems, with a strong publication record reflected in 486 citations, an h-index of 11, and an i10-index of 11, demonstrating the impact and consistency of her scientific contributions. Her research spans advanced materials synthesis, including nanomaterials, thin films, perovskites, and green-synthesized nanoparticles, with applications in electrocatalysis, supercapacitors, photocatalysis, energy storage, and environmental remediation. She has made notable advancements in designing electrocatalysts for hydrogen evolution reactions, developing high-performance supercapacitive materials, and creating photocatalysts capable of degrading pollutants and enhancing hydrogen production. Her work also extends to UV photodetectors, memristor technologies, and electrochemical sensors for detecting heavy metals, glucose, uric acid, and dopamine. In the field of energy systems, she has contributed to innovative DC–DC converters, voltage ripple reduction techniques, and sustainable power solutions for nanogrids and renewable energy integration. Her publications include significant contributions to journals in materials chemistry, ceramics, energy conversion, and semiconductor processing, covering topics such as green-synthesized TiO₂/rGO nanocomposites, lead-free perovskites for solar-driven water splitting, NiCo₂O₄-based electrocatalysts, and advanced transition-metal nanoparticles. Her research continues to advance sustainable materials and energy technologies with broad scientific and industrial relevance.

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Featured Publications

Utami, M., Ramadhani, M. A., Purnama, I., Purwiandono, G., Yenn, T. W., Husniati, Sadaf, S., Al-Taisan, N. A., Almuhawish, N. F., Al-Farhan, A. M., et al. (2026). Green biogenic synthesis of Ag-loaded TiO₂/rGO nanocomposite and its prospective applications in antibacterial and self-cleaning surface coating. Materials Chemistry and Physics, 131573.

Khan, A. N., Rabhi, S., Khan, N. U., Ansari, S. A., Sadaf, S., & Alam, M. W. (2025). Harnessing solar energy with lead-free Tl₂BPI₆ (B = Cs, Rb) double perovskites for photocatalytic water splitting. Ceramics International.

Ghubayra, R., Shariq, M., Sadaf, S., Almuhawish, N. F., Iqbal, M., & Alam, M. W. (2025). Constructing a hybrid CuO over bimetallic spinal NiCo₂O₄ nanoflower as electrocatalyst for hydrogen evolution reaction. International Journal of Hydrogen Energy.

Kaur, H., Sharma, A., Kumar, S., Alam, M. W., Sadaf, S., & Al-Othoum, M. A. S. (2025). Evaluation of photocatalytic efficacy of biosynthesized cubic NiFe₂O₄ nanoparticles. Nano.

Alam, M. W., Kharade, R. B., Alsulaim, G. M., Aleithan, S. H., Sadaf, S., Chava, R. K., Shin, D.-K., & Yewale, M. A. (2025). Improved Ni₃V₂O₈ supercapacitive performance via urea-driven morphological alteration. Ceramics International.

Yewale, M. A., Shin, D. K., Alam, M. W., Teli, A. M., Nabi, S., Ansari, S. A., Sadaf, S., & Al-Kahtani, A. A. (2024). Controlled synthesis and electrochemical characterization of Co₃V₂O₈ hexagonal sheets for energy storage applications. Colloids and Surfaces A: Physicochemical and Engineering Aspects.

Alam, M. W., Nivetha, A., BaQais, A., Ansari, S. A., Yewale, M. A., & Sadaf, S. (2024). Development and analysis of novel Sm-doped LaSiO for photocatalytic degradation and electrochemical sensing of heavy metals. Ceramics International.

Alam, M. W., Ambikapathi, R., Nabi, S., Nivetha, A., Abebe, B., Almutairi, H. H., Sadaf, S., & Almohish, S. M. (2024). Advancements in green-synthesized transition metal/metal-oxide nanoparticles for sustainable wastewater treatment: Techniques, applications, and future prospects. Materials Research Express.

Aldughaylibi, F. S., Ulla, H., Allag, N., Alam, M. W., BaQais, A., Al-Othoum, M. A. S., & Sadaf, S. (2024). Development of molybdenum trioxide–based modified graphite sheet electrodes for enhancing the electrochemical sensing of dopamine. Materials Science in Semiconductor Processing.

Kumar, J. V., Alam, M. W., Selvaraj, M., Almutairi, H. H., Albuhulayqah, M., Sadaf, S., Dhananjaya, M., & Joo, S. W. (2024). Fluorescent carbon dots for biodiesel production: A comprehensive review (2019–2024). Inorganic Chemistry Communications.

Alam, M. W., Allag, N., Utami, M., Waheed-Ur-Rehman, M., Al-Othoum, M. A. S., & Sadaf, S. (2024). Facile green synthesis of α-bismuth oxide nanoparticles: Its photocatalytic and electrochemical sensing of glucose and uric acid in an acidic medium. Journal of Composites Science.

Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

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Prof. Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

University of Dhaka | Bangladesh

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Early Academic Pursuits

Prof. Hafiz Mohammad Hasan Babu began his academic journey in the realm of computer science and engineering with a strong foundation from the Brno University of Technology, Czech Republic, where he completed his M.Sc. with a focus on logic network automation. His curiosity for advanced computational systems took him to the Kyushu Institute of Technology in Japan, where he earned his Ph.D. in Computer Science and Electronics. His doctoral work concentrated on data structures for multiple-output functions and their applications in VLSI CAD, under the guidance of Prof. Dr. Tsutomu Sasao. These formative years laid the groundwork for his future innovations in quantum computing, reversible logic, and nanotechnology.

Professional Endeavors

Prof. Hasan Babu's academic career spans several decades and institutions, notably the University of Dhaka, where he served in various capacities, including as professor in the departments of Computer Science and Engineering, and Robotics and Mechatronics Engineering. His early academic roles also included positions at Khulna University. He has been deeply involved in curriculum development, student mentorship, and departmental leadership. Beyond teaching, he also contributed significantly as a research supervisor and played a critical role in developing the academic and research culture of computer science in Bangladesh.

Contributions and Research Focus

A prolific researcher, Prof. Hasan Babu has made groundbreaking contributions in the fields of quantum computing, reversible logic design, DNA computing, and machine learning applications in healthcare and agriculture. His interdisciplinary research integrates electronics, artificial intelligence, and biological systems. His most recent works delve into quantum biocomputing and nanotechnology, as evidenced by his multi-volume publications with Springer Nature and CRC Press. He has also authored numerous peer-reviewed articles on topics such as cardiovascular disease detection using mobile AI, air quality forecasting, and toxic substance identification in fruits through deep learning.

Accolades and Recognition

Prof. Hasan Babu has received numerous prestigious awards recognizing his excellence in research and scholarly contributions. These include the Dhaka University Research Excellence Recognition, the UGC Gold Medal, and the Dr. M. O. Ghani Memorial Gold Medal from the Bangladesh Academy of Sciences. His biography has been featured in “Who's Who in the World, USA.” He has also received international fellowships such as the Japanese Government Scholarship, the DAAD Fellowship from Germany, and a Czechoslovakian Government Scholarship, marking his global academic influence.

Impact and Influence

Throughout his academic life, Prof. Hasan Babu has significantly influenced the fields of computer science, electronics, and artificial intelligence. His innovations in reversible logic and DNA computing have shaped research methodologies and applications in both academia and industry. He has been instrumental in advancing computational methods that address real-world problems, particularly in environmental monitoring, biomedical diagnostics, and agricultural automation. His role as a mentor to doctoral and master’s students further amplifies his impact on the next generation of scholars.

Legacy and Future Contributions

Prof. Hasan Babu’s extensive scholarly contributions, particularly in the emerging domains of quantum AI and biocomputing, position him as a thought leader in futuristic technologies. His upcoming publications promise to offer new paradigms in nanotechnology and molecular-level computing. As he continues to mentor new researchers and expand the boundaries of interdisciplinary science, his legacy will be defined by his relentless pursuit of innovation and his dedication to fostering a globally relevant research ecosystem.

List of Book Publications

Books Published in 2025:

1. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume I, Springer Nature, Singapore.

2. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume II, Springer Nature, Singapore.

3. Quantum Biocomputing in Quantum Biology, Volume I, Springer Nature, Singapore.

4. Quantum Biocomputing in Quantum Biology, Volume II, Springer Nature, Singapore.

Book Published in 2024:
5. DNA Logic Design: Computing with DNA, World Scientific Publishing Co Pte Ltd., Singapore.

Books Published in 2023:
6. Multiple-Valued Computing in Quantum Molecular Biology, Volume I, CRC Press, USA.
7. Multiple-Valued Computing in Quantum Molecular Biology, Volume II, CRC Press, USA.

Books Published in 2022:
8. VLSI Circuits and Embedded Systems, CRC Press, USA.
9. Control Engineering Theory and Applications (Co-authored with Md. Jahangir Alam, Guoqing Hu, and Huazhong Xu), CRC Press, USA.

Books Published in 2020:
10. Quantum Computing: A Pathway to Quantum Logic Design, 2nd Edition, IOP Publishers, Bristol, UK.
11. Reversible and DNA Computing, Wiley Publishers, UK.

Journal Publications

Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Authors: Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md Mahbubur Rahman, Hafiz Md Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder
Journal: Neuroscience Informatics (Elsevier)
Year: 2025

Empowering early detection: A web-based machine learning approach for PCOS prediction
Authors: Md. Mahbubur Rahman, Ashikul Islam, Forhadul Islam, Mashruba Zaman, Md Rafiul Islam, Md Shahriar Alam Sakib, Hafiz Md Hasan Babu
Journal: Journal of Informatics in Medicine (Elsevier)
Year: 2024

Computer vision based deep learning approach for toxic and harmful substances detection in fruits
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Heliyon (Cell Press)
Year: 2024

A Comprehensive Approach to Detecting Chemical Adulteration in Fruits Using Computer Vision, Deep Learning, and Chemical Sensors
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Journal of Intelligent Systems with Applications (Elsevier)
Year: 2024

A Voice assistive mobile application tool to detect cardiovascular disease using machine learning approach
Authors: Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md Hasan Babu
Journal: Biomedical Materials & Devices (Springer US)
Year: 2024

Conclusion

Prof. Hafiz Mohammad Hasan Babu embodies the spirit of academic excellence and innovation in computer science. With a career rich in scholarly output, international collaborations, and student mentorship, he has become a beacon of transformative research and a visionary in integrating quantum theory with computational systems. His work continues to influence the scientific community both in Bangladesh and globally, promising continued advancements in technology and applied sciences.

Ziang Liu | Engineering | Best Researcher Award

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Mr. Ziang Liu | Engineering | Best Researcher Award

Nanjing University | China

Author Profile

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Early Academic Pursuits

Mr. Ziang Liu began his academic journey with distinction at Tianjin University, where he earned his Bachelor of Science in Electronic Engineering. His strong foundation in engineering and mathematics laid the groundwork for advanced research and innovation. Continuing his academic trajectory, he pursued a Master of Science in Electronic Engineering at the prestigious Nanjing University, where he was recognized as an Outstanding Student and awarded the First-class Academic Scholarship.

Professional Endeavors

Ziang has accumulated valuable industry experience through impactful internships. At Meituan Shanghai, he served as an LLMs Evaluation Algorithm Intern, where he designed evaluation schemes and analyzed instruction-following capabilities across large language models such as Qwen, Doubao, ChatGPT 3.5/4, and Llama2-70B.  In another significant role at Alibaba DingTalk in Hangzhou, he worked on the back-end development of Chatmemo, an enterprise AI assistant. There, he implemented knowledge graph subgraph displays and integrated Retrieval-Augmented Generation (RAG), significantly boosting response speed and system performance.

Contributions and Research Focus

Mr. Liu’s core interests revolve around LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and knowledge graph technologies. He has contributed to the design and optimization of backend systems for intelligent applications in healthcare and enterprise settings. His work on deploying frameworks like Graph RAG and utilizing tools like Redis, MySQL, and Spring Boot has shown practical outcomes in real-world systems, particularly in performance optimization, load balancing, and cache management. His participation in the Nanjing University Intelligent Hospital Project resulted in a custom online medication purchasing system, complete with AI-powered Q&A capabilities and scalable backend infrastructure.

Accolades and Recognition

Ziang Liu’s academic excellence is evident through a remarkable series of accolades earned during both his undergraduate and postgraduate studies. He was honored as the Outstanding Student of Nanjing University in 2023 and received the First-class Academic Scholarship in 2022, recognizing his superior academic performance. His analytical and technical skills were demonstrated through competition achievements, including the Third Prize in the 19th Chinese Graduate Mathematical Modeling Competition (2022) and the Second Prize in the 18th Chinese Electronic Design Competition (2023). Earlier in his academic journey, he was named a Meritorious Winner in the Mathematical Contest in Modeling (MCM) in 2021 and was recognized as an Outstanding Graduate of Tianjin University in 2022. These accomplishments reflect his consistent dedication, innovation, and leadership in engineering and applied mathematics.

Impact and Influence

Ziang Liu’s work has made a tangible impact in both academia and industry. His efforts in improving instruction-following performance in LLMs and optimizing backend systems for enterprise AI applications have proven valuable for real-world implementation. His innovations in intelligent hospital systems demonstrate a commitment to applying advanced AI technologies to enhance societal well-being and operational efficiency.

Legacy and Future Contributions

Poised at the intersection of AI, backend engineering, and applied innovation, Mr. Ziang Liu is emerging as a key contributor to the next generation of AI infrastructure. His hands-on experience with cutting-edge technologies like gRPC, GraphRAG, JWT, and multi-threaded optimization positions him to drive future advancements in AI systems, enterprise platforms, and digital healthcare. With a strong academic record and robust technical expertise, he is well on his way to becoming a leading voice in intelligent systems development.

 

 

Publications

Channel-Dependent Multilayer EEG Time-Frequency Representations Combined with Transfer Learning-Based Deep CNN Framework for Few-Channel MI EEG Classification

Authors: Ziang Liu, Kang Fan, Qin Gu, Yaduan Ruan
Journal: Bioengineering
Year: 2025

Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection

Authors: Weidong Dang, Dongmei Lv, Linge Rui, Ziang Liu, Guanrong Chen, Zhongke Gao
Journal: IEEE Sensors Journal
Year: 2021

Alice Cervellieri | Engineering | Best Researcher Award

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Dr. Alice Cervellieri | Engineering | Best Researcher Award

Politecnico di Torino | Italy

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Early Academic Pursuits 🎓

Dr. Alice Cervellieri began her academic journey with a Bachelor’s degree in Civil and Environmental Engineering from the University of Engineering, Bologna, in 2005, achieving a perfect score of 110/110 laude. Her pursuit of excellence continued with a Master’s degree in Civil Engineering from the same institution in 2011. Notably, she expanded her intellectual horizons by earning a Bachelor’s degree in Linguistic Mediation Sciences from the School of Advanced Linguistic Mediation in 2019, graduating with an outstanding average of 29. Her educational endeavors were further enriched by certifications and specialized training. She participated in the ERASMUS Virtual Exchange program in 2020, focusing on dialogue facilitation, and completed the “Certificatore Energetico” course by Assform in 2016, gaining qualifications as an energy certifier. Dr. Cervellieri also acquired advanced knowledge in digital transformation technologies through a prestigious course at the Massachusetts Institute of Technology (MIT) in 2021.

Professional Endeavors 🌍

Dr. Cervellieri has played significant roles in academia and professional training. She served as a visiting professor at the Catholic University of Manizales, Colombia, in November 2020. Her teaching contributions also include assignments for the Emilia Romagna Region’s “Energy Certifier” course and tutoring roles for EUSAIR Week. Since 2021, she has been a mentor for Harvard University’s Mentorship Project, showcasing her dedication to fostering the next generation of scholars. Her formal qualifications to practice civil engineering were solidified by passing the state examination at the Polytechnic University of Marche in 2016. These accomplishments underscore her dual commitment to practical engineering applications and academic mentorship.

Contributions and Research Focus 🔄

Dr. Cervellieri’s research lies at the intersection of energy analysis and comfort optimization in residential and rural buildings. Her studies delve into established metrics such as PMV (Predicted Mean Vote) and PPD (Percentage of People Dissatisfied), as well as the development of novel indices like OTE and OEE. These indices, drawn from the manufacturing sector, have been innovatively adapted to enhance energy efficiency and occupant comfort. Her international collaborations have facilitated the development of groundbreaking algorithms, as evidenced by her impressive publication record. Dr. Cervellieri’s contributions include six publications in international scientific journals, ten conference proceedings, six books, two posters, and a national journal article.

Accolades and Recognition 🏆

Dr. Cervellieri’s academic achievements have been consistently recognized. Her selection as a mentor for prestigious projects like the Harvard Mentorship Program underscores her global standing as an educator and researcher.

Impact and Influence 💡

Dr. Cervellieri has significantly influenced the field of sustainable engineering through her participation in international projects. She contributed to the EU H2020 Project "ENCORE," which focused on energy-aware BIM Cloud Platforms for efficient building renovation. Additionally, her work in the EFRE-FESR Project "Brotweg" explored innovative mechanized solutions for high-altitude cereal production in alpine environments. These projects reflect her commitment to sustainable development and technological advancement. Her participation in the Erasmus+ Virtual Exchange project (2018-2020) exemplifies her dedication to fostering intercultural learning and virtual collaboration, providing young minds with transformative educational experiences.

Legacy and Future Contributions 🌱

Dr. Alice Cervellieri’s legacy is one of interdisciplinary excellence and global collaboration. Her contributions to energy-efficient building systems and educational mentorship are poised to leave a lasting impact on the fields of civil engineering and sustainable development. With her commitment to innovation and fostering cross-cultural dialogue, she is well-positioned to continue influencing academia and industry for years to come. As she advances her career, Dr. Cervellieri’s work will undoubtedly inspire future engineers and researchers to embrace sustainability and technological innovation as integral components of their practice.

 

Publications

📄 A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
Authors: Alice Cervellieri
Journal: Energies
Year: 2024

📄 On the Synthesis of Holonic Management Trees
Authors: Pirani, M., Bonci, A., Cervellieri, A., Longhi, S.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021

📄 Innovative Approach in Cyber-Physical System for Smart Building Efficiency Monitoring
Authors: Bonci, A., Cervellieri, A., Longhi, S., Pirani, M.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021

📄 The Double Propeller Ducted-Fan, an UAV for Safe Infrastructure Inspection and Human-Interaction
Authors: Bonci, A., Cervellieri, A., Longhi, S., Nabissi, G., Antonio Scala, G.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2020

📚 Brotweg—A Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes
Authors: Mayr, S., Brozzi, R., Cervellieri, A., Sacco, P., Mazzetto, F.
Journal: Lecture Notes in Civil Engineering
Year: 2020

 

Ousmane Thiare | Computer Science | Best Scholar Award

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Prof Dr. Ousmane Thiare | Computer Science | Best Scholar Award

Université Gaston Berger | Senegal

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Early Academic Pursuits 🎓

Professor Ousmane Thiare's academic journey began at Gaston Berger University (UGB), Senegal, a prestigious institution where he would later spend much of his career. He joined UGB in 1994 and demonstrated academic excellence, earning a Diploma of Advanced Studies (DEA) in Applied Mathematics in 2000. Eager to expand his knowledge, he continued his studies abroad at the Polytechnic School of the François Rabelais University of Tours (Polytech'Tours), obtaining a second DEA in Computer Science in 2002. His academic pursuits culminated in 2007 when he earned a Doctorate in Computer Science from CY Cergy Paris University in France.

Professional Endeavors 👨‍🏫

After completing his studies, Professor Thiare embarked on a teaching career that began right at the institution where he was trained, UGB. In 2002, he started as a Full Assistant in Computer Science. His dedication and expertise quickly saw him rise through the ranks, becoming an Assistant Professor in 2008 and later a Lecturer with Accreditation (HDR) from 2010 to 2015. Beyond Senegal, his teaching experience extended to Nigeria, where he served as an Associate Professor at the African University of Science and Technology (AUST) in Abuja from 2014. In 2015, Professor Thiare was promoted to Full Professor at UGB, a position of immense respect. By April 2021, he was further recognized as a Full Professor of Exceptional Class of Universities, underscoring his contributions to academia.

Contributions and Research Focus 🔬

Professor Thiare's contributions extend beyond teaching. His research spans critical areas such as Computer Science, Information and Communication Technologies (ICT), and Mathematics. As Head of the Computer Science Department at UGB's UFR of Applied Sciences and Technology between 2007 and 2009, he influenced the direction of academic programs. He was instrumental in coordinating the Third Cycle in Computer Science in 2011 and later served as Director of the Ousmane Seck Computing Center from 2013. From 2017 to 2020, Professor Thiare led the African Center of Excellence for Mathematics, Computer Science, and ICT (CEA-MITIC), a World Bank-funded project aimed at providing world-class education in STEM fields. His leadership in this $8 million initiative was crucial in developing skilled professionals in ICT, Computer Science, and Mathematics across Africa.

Accolades and Recognition 🏅

Professor Thiare’s accomplishments have garnered numerous accolades. In 2021, he was elected as a Full Member of the National Academy of Sciences and Technology of Senegal (ANSTS), in the Fundamental, Applied, and Innovation Sciences (SFAI) section, recognizing his significant contributions to science and technology. As an Expert Evaluator for the National Authority for Quality Assurance of Higher Education (ANAQ-Sup) since 2014, he has contributed to maintaining high educational standards across Senegal. He also serves on the Scientific and Pedagogical Council of the Doctoral School of Science and Technology at UGB, reflecting his influence in shaping future academic research and educational programs.

Impact and Influence 🌍

From May 2018 to March 2023, Professor Thiare served as Rector of Gaston Berger University, leading one of Senegal's foremost institutions. As Rector, he played a pivotal role in guiding the university’s academic programs, fostering partnerships with international institutions, and ensuring the adoption of cutting-edge technologies to make UGB globally competitive. His role as Principal Authorizing Officer of UGB’s budget allowed him to influence not only academic policy but also the strategic use of financial resources to promote education and research. Under his leadership, UGB also spearheaded major projects such as the Mastercard Foundation Scholars Program, which secured nearly $38 million in funding to train 1,000 scholars, 70% of whom are women, in digital technology, health, agriculture, and engineering by 2031. This initiative has empowered young African talents to make meaningful contributions to their communities.

Legacy and Future Contributions 🌟

Professor Thiare's legacy as a trailblazer in African higher education is well-established. Through his work at CEA-MITIC, UGB, and various national and international platforms, he has helped shape the landscape of STEM education in Africa. His dedication to improving the quality of higher education, combined with his strategic leadership in academic programs and technological innovation, has left an indelible mark.

 

Publications

📄 Hardware Development and Evaluation of Multihop Cluster-Based Agricultural IoT Based on Bluetooth Low-Energy and LoRa Communication Technologies
Authors: Effah, E., Ghartey, G., Aidoo, J.K., Thiare, O.
Journal: Sensors
Year: 2024

📄 Data collection in IoT networks: Architecture, solutions, protocols and challenges
Authors: Abba Ari, A.A., Aziz, H.A., Njoya, A.N., Thiare, O., Mohamadou, A.
Journal: IET Wireless Sensor Systems
Year: 2024

📄 A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon
Authors: Dtissibe, F.Y., Ari, A.A.A., Abboubakar, H., Mohamadou, A., Thiare, O.
Journal: Scientific African
Year: 2024

📄 Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
Authors: Abba Ari, A.A., Ngangmo, O.K., Titouna, C., Mohamadou, A., Gueroui, A.M.
Journal: Applied Computing and Informatics
Year: 2024

📄 A collaborative WSN-IoT-Animal for large-scale data collection
Authors: Abdoul Aziz, H., Abba Ari, A.A., Ndam Njoya, A., Mohamadou, A., Thiare, O.
Journal: IET Smart Cities
Year: 2024

 

Heng Luo | Computer Science | Best Researcher Award

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Mr. Heng Luo | Computer Science | Best Researcher Award

The Hong Kong Polytechnic University | Hong Kong

Author Profile

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Early Academic Pursuits 🎓

Mr. Heng Luo's academic journey is a testament to his commitment to excellence in engineering and technology. He began his higher education at the University of Electronic Science and Technology of China, earning a Bachelor's Degree in Electronic Engineering in 2012. This foundational education was followed by a Master’s Degree in the same field from the same institution in 2013. Heng Luo further expanded his academic horizons by pursuing two more Master’s degrees, one in Industrial and Systems Engineering from The Hong Kong Polytechnic University, and another in the Warwick Manufacturing Group at The University of Warwick, both completed in 2016. Currently, he is a PhD candidate at The Hong Kong Polytechnic University, where he continues to advance his research in The Institute of Textiles and Clothing.

Professional Endeavors 💼

In addition to his academic pursuits, Mr. Heng Luo has been actively involved in professional organizations. Since 2021, he has been a member of the Institution of Engineering and Technology and IEEE. His affiliation with IEEE also includes participation in the Young Professionals group, reflecting his dedication to staying at the forefront of technological advancements and contributing to the global engineering community.

Contributions and Research Focus 📚

Mr. Heng Luo's research and professional work have led to significant contributions in various fields. His expertise spans wearable systems, polymer degradation, hydrogel technology, and control systems. Notable among his works are publications like the "Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities" and "Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water." His research also includes innovative patents, such as those related to MIMO-OTH radar waveforms and machine learning-based article identification methods.

Accolades and Recognition 🏆

Throughout his career, Mr. Heng Luo has garnered recognition for his work, particularly in the realms of materials science and engineering. His contributions have been published in high-impact journals, and his patents demonstrate a strong application-oriented approach to research. He has also served as a peer reviewer for journals like Fibers and Polymers, showcasing his expertise and respected standing in the academic community.

Impact and Influence 🌍

Mr. Heng Luo's work has had a broad impact, particularly in the development of advanced materials and systems for practical applications. His research on wearable systems and polymer degradation has implications for both the healthcare industry and environmental sustainability. By integrating his engineering expertise with cutting-edge research, he has influenced the direction of technological development in these areas.

Legacy and Future Contributions 🌟

As Mr. Heng Luo continues his PhD research and professional activities, his future contributions are anticipated to further advance the fields of engineering and technology. His ongoing work promises to leave a lasting legacy, particularly in the areas of wearable technology and sustainable materials. As an emerging leader in his field, Mr. Heng Luo's future endeavors will likely continue to shape the landscape of modern engineering and contribute to global technological progress.

 

Publications 📚

📖 Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Authors: Heng Luo, Ying Xiong, Mingyue Zhu, Xijun Wei, Xiaoming Tao
Journal: Sensors
Year: 2024

📖 Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Authors: Qi Bao, Ziheng Zhang, Heng Luo, Xiaoming Tao
Journal: Polymers
Year: 2022

📖 Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Authors: Heng Luo
Journal: Advanced Materials
Year: 2022

📖 Article Identification Method and Device Based on Machine Learning

Authors: Heng Luo
Journal: Patent
Year: 2020

📖 Observer-Based Control of Discrete-Time Fuzzy Positive Systems with Time Delays

Authors: Heng Luo
Journal: IFAC Proceedings Volumes
Year: 2013

 

Merve Asiler | Computer Science | Best Researcher Award

Published on by Book of Award

Ms. Merve Asiler | Computer Science | Best Researcher Award

Middle East Technical University | Turkey

Author Profile

Orcid

Googler Scholar

Early Academic Pursuits

Ms. Merve Asiler's academic journey began with an impressive performance at Yıldırım Beyazıt Science High School in Ankara, Turkey, where she graduated at the top of her class. She continued her education at the Middle East Technical University (METU) in Ankara, Turkey, earning dual bachelor's degrees in Computer Engineering and Mathematics. During her undergraduate studies, she developed a strong interest in algorithms, computer organization, operating systems, and computer graphics. She pursued her Master’s degree in Computer Engineering at METU, specializing in Big Data and Graph Databases, and is currently working towards her Ph.D. in Computer Engineering with a focus on Computer Graphics, Computational Geometry, and Digital Geometry Processing.

Professional Endeavors

Merve Asiler has accumulated extensive professional experience in both academia and industry. She has worked as a Research and Teaching Assistant at METU, where she has contributed to various courses, including Introduction to Computer Engineering Concepts, C Programming, Algorithms, and Computer Engineering Design. Her industry experience includes roles as a Software Developer at Accelerate Simulation Technologies, Turkish Aerospace, and Kale Yazilim. These roles involved developing software for unmeshed CAD geometries, engaging in modeling and simulation activities, and handling complex queries in large graph databases using Neo4j.

Contributions and Research Focus

Ms. Asiler's research primarily revolves around computer graphics, computational geometry, and digital geometry processing. Her Ph.D. research focuses on geometric kernel computation in 3D space, developing algorithms that outperform current methods for kernel computation. Her Master's research involved developing BB-Graph, a new subgraph isomorphism algorithm for querying big graph databases. This work was done in collaboration with Kale Yazilim and demonstrated significant performance improvements over existing algorithms.

Accolades and Recognition

Ms. Asiler has been recognized for her academic excellence with a GPA of 3.93/4.00 in her Ph.D. studies and 3.71/4.00 in her Master's program. She has published significant research papers, including a study on 3D geometric kernel computation in polygon mesh structures and a subgraph isomorphism algorithm for querying big graph databases. Her work has been published in reputable journals like Computers & Graphics and the Journal of Big Data.

Impact and Influence

Ms. Asiler's contributions to computer science, particularly in the areas of computer graphics and big data, have had a significant impact on both academia and industry. Her research on geometric kernels and graph databases has advanced the understanding and application of these complex areas. As a teaching assistant, she has influenced and mentored numerous students, preparing original programming assignments and supervising student projects.

Legacy and Future Contributions

Looking ahead, Ms. Asiler plans to leverage her expertise in mesh kernels to explore novel solutions for non-self-intersecting shape interpolation and star-shape decomposition problems. Her future contributions are likely to continue pushing the boundaries of computational geometry and computer graphics, benefiting both academic research and practical applications in various industries. With her strong foundation and ongoing commitment to research, Ms. Asiler is poised to make lasting contributions to the field of computer science.

 

Notable Publications

3D geometric kernel computation in polygon mesh structures 2024

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases 2022 (3)