Assist Prof Dr. Aynur Koyuncu | Emerging Trends | Best Researcher Award

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Assist Prof Dr. Aynur Koyuncu, Emerging Trends, Best Researcher Award

Aynur Koyuncu at  Hasan Kalyoncu University, Turkey

Professional Profile

Summary:

Dr. Aynur Koyuncu is an accomplished Assistant Professor in Surgical Nursing at Hasan Kalyoncu University. With a diverse background in nursing, including extensive experience as an intensive care nurse and training nurse, she has received recognition for her contributions, including prestigious awards such as the ‘NATO Peace Medal and Red Crescent Service Friend’ and the ‘General Staff Distinguished Service Medal of Courage and Sacrifice’. Her academic journey culminated in the completion of her Ph.D. in nursing, leading to her current position as an Assistant Professor. Dr. Koyuncu’s expertise lies in surgical nursing, and she is actively engaged in both research and teaching endeavors.

👩‍🎓Education:

Dr. Aynur Koyuncu completed her Ph.D. in nursing in 2019, which served as a pivotal milestone in her academic journey. Her educational background is complemented by her practical experience as an intensive care nurse and training nurse, providing her with a comprehensive understanding of nursing practice.

🧬 Professional Experience:

Dr. Aynur Koyuncu has accumulated significant professional experience throughout her career, starting from her roles as an intensive care nurse and training nurse from 1990 to 2018. Notably, she has been recognized for her contributions with awards such as the ‘NATO Peace Medal and Red Crescent Service Friend’ and the ‘General Staff Distinguished Service Medal of Courage and Sacrifice’. In 2020, she transitioned into academia, assuming the role of Assistant Professor in Surgical Nursing at Hasan Kalyoncu University. Her blend of practical experience and academic expertise equips her to excel in both teaching and research roles, making meaningful contributions to the field of nursing.

Research Interests:

  • Dr. Koyuncu’s research interests primarily revolve around surgical nursing. These interests may include:
    • Perioperative care
    • Surgical wound management
    • Patient safety in surgical settings
    • Surgical nursing education and training
    • Surgical outcomes and quality improvement

 

Publications Top Noted:

Paper Title: Effect of family presence on stress response after bypass surgery
  • Authors: Aynur Koyuncu, Ayla Yava, Birol Yamak, Nuri Orhan
  • Journal: Heart & Lung
  • Volume: 50
  • Pages: 193-201
  • Year: 2021
  • Citations: 6
Paper Title: Exposure of emergency nurses to workplace violence and their coping strategies: a cross-sectional design
  • Authors: İsmail Öztaş, Ayla Yava, Aynur Koyuncu
  • Journal: Journal of emergency nursing
  • Volume: 49
  • Issue: 3
  • Pages: 441-449
  • Year: 2023
  • Citations: 12
Paper Title: Knowledge and practices of surgical nurses on inadvertent perioperative hypothermia
  • Authors: Aynur Koyuncu, Songül Güngör, Ayla Yava
  • Journal: Florence Nightingale Journal of Nursing
  • Volume: 31
  • Issue: 1
  • Pages: 18
  • Year: 2023
  • Citations: 9
Paper Title: Türk bankacılık sektöründe kredi mevduat oranı, çekirdek dışı yükümlülükler ve kârlılık: Dinamik panel modelinden bulgular
  • Authors: Liu, X., Dou, M., Yan, R., Chen, J., Chen, B.M.
  • Journal: Resul Aydemir, Gökhan Övenç, Adem Koyuncu
  • Volume: 18
  • Issue: 3
  • Pages: 495-506
  • Year: 2018
  • Citations: 23
Paper Title: Kalp damar cerrahisi yoğun bakım ünitesinde tedavi gören terminal dönemdeki hastaların yakınlarının hasta ziyaretinden beklentileri= Expectations on visitation of relatives of …
  • Authors: Aynur Koyuncu, Fatma Eti Aslan, Ayla Yava, Derya Çınar, Nermin Olgun
  • Year: 2016
  • Citations: 15

Prof. Zhi Gao | Image Processing | Best Researcher Award

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Prof. Zhi Gao, Image Processing, Best Researcher Award

Zhi Gao at Wuhan University, China

Professional Profile

Summary:

Zhi Gao is a highly accomplished Professor and Doctoral Supervisor at the School of Remote Sensing and Information Engineering, Wuhan University. He holds prestigious positions as the National Young Talent Program and Distinguished Professor of Hubei Province, China. With a solid background in engineering and extensive experience in academia and research, he has built strong collaborative networks with renowned universities and institutions worldwide.

👩‍🎓Education:

Zhi Gao received his Bachelor of Engineering (B.Eng.) and Doctor of Philosophy (Ph.D.) degrees from Wuhan University, China, in 2002 and 2007, respectively. His educational background provides him with a strong foundation in his field.

🧬 Work Experience:

Zhi Gao’s professional journey reflects a wealth of experience in both academia and industry. Highlights of his career include:

  • Research Fellow (A) and Project Manager at the Interactive and Digital Media Institute, National University of Singapore (NUS), Singapore, since 2008.
  • Research Scientist (A) at the Temasek Laboratories, NUS, contributing significantly to research endeavors.
  • Building strong collaborative relationships with prestigious institutions globally, including the Temasek Laboratory, National University of Singapore, Carnegie Mellon University Robotics Institute, Robert Gordon University, The Chinese University of Hong Kong, Beijing Normal University, and Beijing Institute of Technology.

Research Interests:

  • Computer Vision
  • Machine Learning
  • Remote Sensing
  • UAV-based Surveillance Research and Applications

Publications Top Noted:

Paper Title: Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
  • Authors: Xiao, R., Yin, H., Liu, R., Liu, L., Jia, T.
  • Journal: Sustainable Cities and Society
  • Volume: 108
  • Pages: 105447
  • Year: 2024
  • Citations: 0
Paper Title: Tracking by Detection: Robust Indoor RGB-D Odometry Leveraging Key Local Manhattan World
  • Authors: Zhou, Z., Gao, Z., Xu, J.
  • Journal: IEEE Robotics and Automation Letters
  • Volume: 9
  • Issue: 6
  • Pages: 4990–4997
  • Year: 2024
Paper Title: How Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
  • Authors: Zhao, X., Gao, Z., Li, H., Fang, H., Chen, B.M.
  • Journal: Journal of Intelligent and Robotic Systems: Theory and Applications
  • Volume: 110
  • Issue: 1
  • Pages: 42
  • Year: 2024
  • Citations: 0
Paper Title: TJ-FlyingFish: An Unmanned Morphable Aerial–Aquatic Vehicle System
  • Authors: Liu, X., Dou, M., Yan, R., Chen, J., Chen, B.M.
  • Journal: Unmanned Systems
  • Volume: 12
  • Issue: 2
  • Pages: 409–428
  • Year: 2024
  • Citations: 1
Paper Title: WaterFormer: A Global-Local Transformer for Underwater Image Enhancement With Environment Adaptor
  • Authors: Wen, J., Cui, J., Yang, G., Dou, L., Chen, B.M.
  • Journal: IEEE Robotics and Automation Magazine
  • Volume: 31
  • Issue: 1
  • Pages: 29–40
  • Year: 2024
  • Citations: 1

 

Dr. Neng Zeng | Surveillance | Best Researcher Award

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Dr. Neng Zeng, Surveillance, Best Researcher Award

Doctorate at Xi’an Jiaotong-Liverpool University, China

Professional Profile

👩‍🎓Education:

  • Ph.D. in Division of Mathematical Sciences (Jan 2016–June 2020)
    • Nanyang Technological University, Singapore
    • CGPA: 4.5/5.0
    • Supervisor: Assoc. Professor Huaxiong Wang
    • Research Interests: Code-based cryptography, privacy-preserving techniques, zero-knowledge proofs, secret sharing
  • M.S. in School of Mathematical Sciences (Sep 2014–Dec 2015)
    • Xiamen University, China
    • CGPA: 4.8/5.0
    • Studied under Prof. Chunhui Qiu (Sep 2014–Dec 2014)
    • Studied at Beijing International Center for Mathematical Research, Peking University (Jan 2015–Sep 2015)
  • B.S. in School of Mathematics and Statistics (Sep 2010–Jun 2014)
    • Central China Normal University, China
    • CGPA: 4.7/5.0

🧬 Work Experience:

  • Lecturer (Aug 2021–Current)
    • Department of Foundational Mathematics, Xi’an Jiaotong-Liverpool University
  • Research Fellowship (Dec 2020–July 2021)
    • Singapore University of Technology and Design
    • Project: “Post Quantum Blockchain and Its Applications”
    • Principal Investigator: Jianying Zhou

🏆Awards:

  • Outstanding Graduates in Central China Normal University, AY 2014
  • Outstanding Project Applicant of National University Student Scientific Research Innovation Project, AY 2013
  • Nanyang Research Scholarship, Nanyang Technological University, 2016–2019
  • ShuangChuang Ph.D. in Jiangsu Province, AY 2022

 

Publications Top Noted:

Paper Title: Group Encryption: Full Dynamicity, Message Filtering and Code-Based Instantiation
  • Authors: Nguyen, K.; Safavi-Naini, R.; Susilo, W.; Xu, Y.; Zeng, N.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume: 12711 LNCS
  • Pages: 678–708
  • Year: 2021
  • Citations: 1
Paper Title: Lightweight Key Encapsulation Using LDPC Codes on FPGAs
  • Authors: Hu, J.; Baldi, M.; Santini, P.; Ling, S.; Wang, H.
  • Journal: IEEE Transactions on Computers
  • Volume: 69
  • Issue: 3
  • Pages: 327–341
  • Year: 2020
  • Citations: 10
Paper Title: New Code-Based Privacy-Preserving Cryptographic Constructions
  • Authors: Nguyen, K.; Tang, H.; Wang, H.; Zeng, N.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume: 11922 LNCS
  • Pages: 25–55
  • Year: 2019
  • Citations: 8
Paper Title: Threshold Changeable Ramp Secret Sharing
  • Authors: Lin, F.; Ling, S.; Wang, H.; Zeng, N.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume: 11829 LNCS
  • Pages: 308–327
  • Year: 2019
  • Citations: 3

Dr. Weijian Ye | Biomedical | Best Researcher Award

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Dr. Weijian Ye, Biomedical, Best Researcher Award

Doctorate at The First Affiliated Hospital of Jinan University, China

Professional Profile

Summary:

Dr. Weijian YE is a distinguished researcher in the field of Chemical Genomics, with a Ph.D. from Peking University and a Bachelor’s degree from Guangzhou University of Chinese Medicine. With a strong background in Pharmaceutical Engineering, Dr. YE has made significant contributions to biomedical research, particularly in the development of PET tracers and radio pharmacy.

👩‍🎓Education:

  • Ph.D. in Chemical Genomics (Advisor: Prof. LEE, Chi-Sing)
    Peking University, Beijing, China
    Sep. 2014 – Jun. 2019
  • Bachelor’s Degree in Pharmaceutical Engineering (Advisor: Prof. WANG, Tao)
    Guangzhou University of Chinese Medicine, Guangzhou, China
    Sep. 2010 – Jun. 2014

🧬 Work Experience:

Senior Research Fellow
Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou
Sep. 2021 – Present

  • Leading research in radio synthesis, PET tracer development, translational medicine, and clinical research.
  • Developing synthetic routes for complex molecules and managing radiopharmaceutical projects from development to cGMP production.
  • Collaborating with departments for clinical research on novel PET tracers for neurological disorders and other diseases.

Post-doctoral Research Fellow (Supervisor: Prof. XU, Hao)
Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou
Jul. 2019 – Jul. 2021

  • Trained in radiochemistry, focusing on synthesizing and managing radioisotopes for pharmaceutical quality and safety.
  • Applied research in clinical translational medicine, bridging lab work to clinical applications.

🔬 Research Experience

 A.Development of PET Tracers/Radio Pharmacy
  1. Norepinephrine Transporter Targeted Tracer 18F-mFBG
    • Optimized labeling conditions, achieving a 17.8% radiochemical yield and >97% radiochemical purity within 70 mins.
    • Established SOP for clinical production, producing over 30 batches for more than 200 patients.
  2. Multi-functional Imaging Probe for Cu(II)
    • Designed and synthesized Cu(II)-specific probes for fluorescence and 19F MR imaging.
    • Applied the 18F-isotopologue to PET imaging in cynomolgus macaques.
  3. Vasopressin 1a Receptor Targeted Tracer
    • Developed an F-18 labeled PET tracer with high affinity for V1a receptor.
    • Conducted PET imaging and kinetic modeling studies in rhesus monkeys.
  4. TSPO Polymorphism-insensitive PET Tracers
    • Synthesized ligands for TSPO, demonstrating low sensitivity to TSPO rs6971 polymorphism.
    • Conducted PET imaging studies in rhesus monkeys and MCAO animal models.
  5. 11C-labeled Tracers for mGlu2 and FAAH
    • Contributed to the development and analysis of 11C-labeled PET tracers for mGlu2 and FAAH.
  6. New Synthons and Radiolabeling Strategies
    • Synthesized [18F]difluorocarbene and [18F]fluoro-[di-deutero]methyl tosylate, implementing automated radiolabeling programs.
B. Development of Fluorescent Probes
  1. Eu(III) Complex as Fluorescent Probe for Paralytic Shellfish Toxins
    • Designed and characterized europium complexes, proposing binding mechanisms using ion mobility mass spectrometry.
  2. Fluorescent Chemosensors for Polyamines
    • Synthesized TPE-conjugated pentiptycene derivatives, applied for spermine detection in artificial urine.
  3. Fluorescent Probes and 1H/19F MRI Contrast Agents for EBNA1 and EBV
    • Designed and synthesized Eu(III) and Gd(III) complexes for EBNA1, evaluating magnetic resonance properties.
C. Organic Syntheses
  1. Total Synthesis of Natural Product (±)-basiliolide B and Its Analogues
    • Performed a 15-step synthesis sequence, including large-scale reactions.
  2. Regioselective Pd-catalyzed (3+2) Cycloaddition of 2-pyrones with Vinylcyclopropanes
    • Achieved high yields and regioselectivity, broadening substrate scope for synthesis.

Publications Top Noted:

Paper Title: A PET-based radiomics nomogram for individualized predictions of seizure outcomes after temporal lobe epilepsy surgery
  • Authors: Huanhua Wu, Kai Liao, Zhiqiang Tan, Chunyuan Zeng, Biao Wu, Ziqing Zhou, Hailing Zhou, Yongjin Tang, Jian Gong, Weijian Ye, Xueying Ling, Qiang Guo, Hao Xu
  • Journal: Seizure: European Journal of Epilepsy
  • Volume: 119
  • Pages: 17-27
  • Year: 2024
Paper Title: Recent developments on PET radiotracers for TSPO and their applications in neuroimaging
  • Authors: Lingling Zhang, Kuan Hu, Tuo Shao, Lu Hou, Shaojuan Zhang, Weijian Ye, Lee Josephson, Jeffrey H Meyer, Ming-Rong Zhang, Neil Vasdev, Jinghao Wang, Hao Xu, Lu Wang, Steven H Liang
  • Journal: Acta Pharmaceutica Sinica B
  • Volume: 11
  • Pages: 373-393
  • Year: 2021
  • Citations: 114
Paper Title: Positron emission tomography in the neuroimaging of autism spectrum disorder: a review
  • Authors: Zhiqiang Tan, Huiyi Wei, Xiubao Song, Wangxiang Mai, Jiajian Yan, Weijian Ye, Xueying Ling, Lu Hou, Shaojuan Zhang, Sen Yan, Hao Xu, Lu Wang
  • Volume: 16
  • Pages: 806876
  • Year: 2022
  • Citations: 14
Paper Title: Sensitive and responsive pentiptycene-based molecular fluorescence chemosensor for detection of polyamines
  • Authors: Junrong Huang, Weijian Ye, Shuai Zha, Yezi Tao, Min Yang, Ke Huang, Jiqiang Liu, Yan-Ho Fung, Yang Li, Penghao Li, Lizhi Zhu, Chi-Sing Lee
  • Journal: Journal of Luminescence
  • Volume: 232
  • Pages: 117856
  • Year: 2021
  • Citations: 12
Paper Title: Recent developments on the application of molecular probes in multiple myeloma: Beyond [18F] FDG
  • Authors: Shaojuan Zhang, Jingjie Shang, Weijian Ye, Tianming Zhao, Hao Xu, Hui Zeng, Lu Wang
  • Volume: 10
  • Pages: 920882
  • Year: 2022
  • Citations: 1

 

Dr. Salomon Obahoundje | Machine Learning | Best Researcher Award

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Dr. Salomon Obahoundje, Machine Learning, Best Researcher Award

Doctorate at International Water Management Institue, Ghana  

Professional Profile

Summary:

Dr. Salomon Obahoundje is a post-doctoral research fellow specializing in digital tools for water management at the International Water Management Institute (IWMI) in Ghana. His expertise lies in assessing renewable energy resources, particularly hydropower, wind, and solar energy, and analyzing the impacts of climate change on these resources. With a strong background in physics, Dr. Obahoundje has conducted extensive research on climate and energy, focusing on West Africa. He has a keen interest in large dataset analysis, machine learning, and climate modeling to inform decision-making processes under deep uncertainty.

👩‍🎓Education:

Dr. Obahoundje holds a Ph.D. in Energy-Climate-Environment from the African Centre of Excellence on Climate Change, Biodiversity, and Sustainable Development (WASCAL/CEA-CCBAD) in Côte d’Ivoire. He completed his Master’s research program in Climate Change and Energy at the West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL) in Niger. He also obtained a Bachelor’s and Master’s degree in Physics Sciences from Abomey-Calavi University in Benin.

 

Professional Experience:

Dr. Obahoundje has a diverse professional experience, including research fellowships, internships, and consultancy roles. He has served as a data scientist at the World Energy & Meteorology Council (WEMC) in the UK, where he worked on energy modeling and climate projections. He has also interned at research institutes such as the Research Institute for Sustainable Development (IRD) in Côte d’Ivoire, focusing on climate downscaling and bias correction data. Additionally, he has collaborated with international organizations like Electricté De France (EDF) and the General Direction of Climate Change in Benin on various climate and energy-related projects.

Research Interests:

Dr. Obahoundje’s research interests revolve around assessing the impacts of climate change on renewable energy resources, particularly hydropower, in West Africa. He specializes in using advanced modeling techniques, such as machine learning and climate models (CMIP5-6, CORDEX), to analyze large datasets and inform climate adaptation and mitigation strategies. His research also focuses on climate information services for the energy and agricultural sectors, aiming to enhance resilience to climate variability and extremes.

Skills:

  • Proficient in English and Malay (both speaking and writing)
  • Experienced in various software including GPS/GNSS processing tools, Microsoft Office, programming languages like MATLAB and Fortran, CAD and GIS software.
  • Capable of handling GPS/GNSS equipment and RFID tools.
  • Possesses strong communication skills, teamwork abilities, and a knack for teaching and training.
  • Demonstrates adaptability, fast learning, and strategic planning capabilities.

Publications Top Noted:

Paper Title: Predicting climate-driven changes in reservoir inflows and hydropower in Côte d’Ivoire using machine learning modeling
  • Authors: Obahoundje, S., Diedhiou, A., Akpoti, K., Ofosu, E.A., Marcel Kouame, D.G.
  • Journal: Energy
  • Volume: 302
  • Pages: 131849
  • Year: 2024
Paper Title: Implication of stratospheric aerosol geoengineering on compound precipitation and temperature extremes in Africa
  • Authors: Obahoundje, S., Nguessan-Bi, V.H., Diedhiou, A., Kravitz, B., Moore, J.C.
  • Journal: Science of the Total Environment
  • Volume: 863
  • Pages: 160806
  • Year: 2023
Paper Title: Modeling climate change impact on inflow and hydropower generation of Nangbeto dam in West Africa using multi-model CORDEX ensemble and ensemble machine learning
  • Authors: Obahoundje, S., Diedhiou, A., Dubus, L., Akpoti, K., Antwi Ofosu, E.
  • Journal: Applied Energy
  • Volume: 325
  • Pages: 119795
  • Year: 2022
Paper Title: Influence of stratospheric aerosol geoengineering on temperature mean and precipitation extremes indices in Africa
  • Authors: Obahoundje, S., N’guessan Bi, V.H., Diedhiou, A., Kravitz, B., Moore, J.C.
  • Journal: International Journal of Climate Change Strategies and Management
  • Volume: 14
  • Issue: 4
  • Pages: 399–423
  • Year: 2022
Paper Title: Analysis of hydroclimatic trends and variability and their impacts on hydropower generation in two river basins in Côte d’Ivoire (West Africa) during 1981-2017
  • Authors: Obahoundje, S., Diedhiou, A., Kouassi, K.L., Roudier, P., Kouame, D.G.M.
  • Journal: Environmental Research Communications
  • Volume: 4
  • Issue: 6
  • Pages: 065001
  • Year: 2022

 

Mr. Eyob Abera Deboch | Multi Modality Fusion | Best Researcher Award

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Mr. Eyob Abera Deboch, Multi Modality Fusion, Best Researcher Award

Eyob Abera Deboch at Shenzhen Institute of Advanced Technology, China

Professional Profile

Summary:

Mr. Deboch Eyob Abera is a highly skilled computer vision researcher with over three years of project experience. He recently graduated with a master’s degree in Information and Communication Engineering from the University of Electronic Science and Technology of China, achieving a remarkable CGPA of 4/4. His research interests lie in artificial intelligence, machine learning, and deep learning, particularly focusing on image fusion, classification, segmentation, detection, and tracking.

👩‍🎓Education:

  • MSc in Information and Communication Engineering, University of Electronic Science and Technology of China (Sep 2021 – June 2023)
    • Thesis: “Research on Image Fusion with the Deep Learning Framework”
  • BEng in Electronic Information Engineering, University of Electronic Science and Technology of China (Sep 2017 – June 2021)
    • Thesis: “Image Fusion Algorithms based on Machine Learning”

 

Professional Experience:

  • Master’s Thesis (Summer 2022 – June 2023): Designed and implemented a deep learning model for infrared and visible image fusion under the guidance of Associate Prof. Qi Jin.
  • School Assistant (Fall 2021): Provided assistance to students in the School of Information and Communication Engineering, addressing inquiries and guiding students.
  • Bachelor Thesis (Spring 2021): Designed and Implemented Ensemble Network for Infrared and Visible image fusion under the supervision of Associate Prof. Wu Ruiqing.
  • Upwork Freelancer: Completed projects including ball height detection during volleyball shots and dataset preparation.

Research Interests:

  • Image fusion
  • Classification
  • Segmentation
  • Detection
  • Tracking
  • Machine learning and deep learning algorithms
  • Deep learning frameworks

Skills:

  • Programming: Proficient in Python, MATLAB, and C/C++
  • Platforms: Experienced with Windows, Linux (Debian, Ubuntu), Android, Arduino, and Raspberry Pi
  • Networking: Skilled in Routing & Switching
  • Deep Learning: Extensive experience with CNN, ResNet, Autoencoder, DenseNet, GAN, RNN, UNet, Ensemble learning, and transformer models
  • Frameworks: Proficient in TensorFlow, PyTorch, Keras, OpenCV, and Pandas

Publications Top Noted:

Paper Title: Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images
  • Authors: Liu, X.; Hu, W.; Diao, S.; Racoceanu, D.; Qin, W.
  • Journal: Computer Methods and Programs in Biomedicine
  • Year: 2024
Paper Title: A deep learning and image enhancement based pipeline for infrared and visible image fusion
  • Authors: Qi, J.; Abera, D.E.; Fanose, M.N.; Wang, L.; Cheng, J.
  • Journal: Neurocomputing
  • Year: 2024
  • Citations: 1
Paper Title: Automatic Image Contrast Enhancement Based on Reinforcement Learning
  • Authors: Abera, D.E.; Gerezgiher, T.S.; Jin, Q.; Mesfin, G.F.
  • Year: 2022

Mrs. Siti Syukriah Khamdan | Ionospheric Monitoring | Best Researcher Award

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Mrs. Siti Syukriah Khamdan, Ionospheric Monitoring, Best Researcher Award

Siti Syukriah Khamdan at Geomatic Innovation Research Group (GnG), Universiti Teknologi Malaysia,

Professional Profile

Summary:

Siti Syukriah Khamdan is a highly motivated and skilled professional in the field of Geomatic Engineering with a focus on GPS/GNSS technologies and ionospheric studies. With a Doctor of Philosophy and a Master of Philosophy from Universiti Teknologi Malaysia, she has demonstrated expertise in both research and practical application within her field. Her career objective emphasizes a commitment to continuous learning, leadership development, and contributing to the success of her organization.

👩‍🎓Education:

  • Doctor of Philosophy (Geomatic Engineering), Universiti Teknologi Malaysia, 2019 – Present
  • Master of Philosophy (Geomatic Engineering), Universiti Teknologi Malaysia, 2014 – 2019
  • Bachelor of Engineering (Geomatics) with Honors, Universiti Teknologi Malaysia, 2010 – 2014

 

Professional Experience:

  • Admin Assistant, DAB Technology Sdn. Bhd., October 2023 – January 2024
    • Provided administrative support to the Operating Manager and Business Development Manager.
    • Handled procurement, meeting arrangements, and documentation preparation.
  • Graduate Research Assistant, Geomatic Innovation Research Group (GnG), Universiti Teknologi Malaysia
    • Involved in various projects related to GPS-based tomography, ionospheric modeling, and space weather applications.
    • Managed project grants, prepared reports, designed and programmed systems, and analyzed data.
  • Previous roles include Graduate Research Assistant positions in projects related to ionospheric modeling, boundary mark development, and space weather application systems.

Research Interests:

  • High-precision GNSS positioning techniques
  • Equatorial ionospheric studies using GNSS
  • GPS/GNSS processing software and programming
  • Radio frequency identification (RFID) technology
  • Near real-time reconstruction of GPS ionospheric tomography

Skills:

  • Proficient in English and Malay (both speaking and writing)
  • Experienced in various software including GPS/GNSS processing tools, Microsoft Office, programming languages like MATLAB and Fortran, CAD and GIS software.
  • Capable of handling GPS/GNSS equipment and RFID tools.
  • Possesses strong communication skills, teamwork abilities, and a knack for teaching and training.
  • Demonstrates adaptability, fast learning, and strategic planning capabilities.

Publications Top Noted:

Paper Title: Monitoring the Ionospheric Conditions during the Annular Solar Eclipse December 2019: A Case Study
  • Authors: Siti Syukriah Khamdan, Tajul Ariffin Musa, Suhaila M Buhari, Kornayat Hozumi, Neil Ashcroft, Nashriq Ferdaus Ahmad, Clara Yatini
  • Journal: Journal of Atmospheric and Solar-Terrestrial Physics
  • Pages: 106272
  • Year: 2024
Paper Title: Performance of the local ionospheric model in resolving GPS baseline ambiguity over the Malaysian region
  • Authors: Siti Syukriah Khamdan, Tajul Ariffin Musa, Suhaila M Buhari, Abdullah Hisam Omar
  • Journal: GPS Solutions
  • Volume: 27
  • Pages: 60
  • Year: 2023
  • Citations: 1
Paper Title: Reconstruction of three-dimensional ionospheric profiles using tomography technique
  • Authors: Siti Syukriah Khamdan, Tajul Ariffin Musa, Suhaila M Buhari
  • Journal: Proceeding of 8 th international graduate conference on engineering, science and humanities
  • Volume: 161
  • Pages: 1323–1329
  • Year: 2020
  • Citations: 2
Paper Title: Near real time ionospheric monitoring system over Malaysia using GPS Data: My-Iono Service
  • Authors: Nyanasegari Bhoo Pathy, Tajul Ariffin Musa, Mhd Fairos Asillam, Wan Anom Wan Aris, Siti Syukriah Khamdan
  • Journal: Journal of Physics: Conference Series
  • Volume: 1152
  • Issue: 1
  • Pages: 012016
  • Year: 2019
  • Citations: 6
Paper Title: The estimation of receiver code bias for MyRTKnet stations
  • Authors: Siti Syukriah Khamdan, Tajul Ariffin Musa, Dudy Darmawan Wijaya, Suhaila M Buhari
  • Journal: IOP Conference Series: Earth and Environmental Science
  • Volume: 169
  • Issue: 1
  • Pages: 012029
  • Year: 2018
  • Citations: 5

Dr. Micheal Arowolo | Bioinformatics | Best Researcher Award

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Dr. Micheal Arowolo | Bioinformatics | Best Researcher Award

Doctorate at University of Missouri, United States

Professional Profile

Summary:

Dr. Michael Olaolu Arowolo is a distinguished Nigerian computer scientist and academic with a robust background in computer science. Born on September 12, 1988, he holds a Ph.D. from Landmark University, Nigeria, an M.Sc. from Kwara State University, and a B.Sc. from Al-Hikmah University. Currently a research scholar and assistant professor at the University of Missouri, Columbia, his expertise spans machine learning, big data, data mining, bioinformatics, and computer arithmetic. Dr. Arowolo is an active member of several professional organizations, including IEEE and ISCB, and has been recognized among the top 500 authors in Nigeria by Elsevier. His career includes significant teaching and research roles, numerous professional trainings, and contributions to university development and community services.

👩‍🎓Education:

Dr. Michael Olaolu Arowolo has a robust educational background in computer science. He earned his Doctor of Philosophy (Ph.D.) in Computer Science from Landmark University, Omu-Aran, Kwara State, Nigeria, between 2018 and 2021. Prior to this, he completed his Master of Science (M.Sc.) in Computer Science from Kwara State University, Malete, Kwara State, Nigeria, from 2014 to 2017. Dr. Arowolo’s foundational academic journey began with a Bachelor of Science (B.Sc.) (Hons) in Computer Science from Al-Hikmah University, Ilorin, Kwara State, Nigeria, where he graduated with Second Class Honors (Lower Division) between 2008 and 2012. His early education includes the Senior School Certificate Examination (SSCE) from Modelak Science College, Ilorin, Kwara State, Nigeria (1998-2004), and the First School Leaving Certificate (FSLC) from ECWA L.G.E.A Primary School ‘B’, Ilorin, Kwara State, Nigeria (1991-1998).

 

Professional Memberships:

  • IEEE: Member since March 2021 (Membership No. 96234988)
  • APISE: Member since September 2019 (Membership No. M20190918110)
  • ISCB: Member since May 2019
  • Nigerian Bioinformatics and Genomics Network: Member since May 2019 (Membership No. NBGNI380)
  • SDIWC: Member since March 2017
  • EAI: Member since February 2017
  • IAENG: Member since September 2015 (Membership No. 158851)
  • Oracle Database SQL Certified Expert: Oracle University, March 2014
  • Researcher IDs: Scopus (57214819505), ORCID (0000-0002-9418-5346), Web of Science (ABD-4157-2020)

Professional Trainings:

  • Apr 2023: NIH-Biomedical Entrepreneurship Training for Aging (BETA) Program
  • Apr 2020: WHO “Infection Prevention and Control for Novel Coronavirus” Health Emergencies Program
  • Apr 2020: WHO “Introduction to Go. Data-Field Data Collection, Chains of Transmission and Contact Follow-Up” Health Emergencies Program
  • Nov 2013: SQL, Linux, and Oracle Training
  • May 2013: Project Management and Microsoft Project Training
  • Oct 2010: CCNA “Cisco Certified Network Associate” Training

Work Experience:

  • 2022-Present: Research Scholar / Instructor / Assistant Professor, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, USA.
  • 2021: Lecturer II, Department of Computer Science, Landmark University, Omu-Aran, Kwara State, Nigeria.
  • 2020-2021: Assistant Lecturer, Department of Computer Science, Landmark University, Omu-Aran, Kwara State, Nigeria.
  • 2018-2020: Graduate Lecturer, Institute of Professional Studies, Department of Computer Science, Kwara State University, Malete, Kwara State, Nigeria.
  • 2019: Ad-Hoc Registration Area Technician, Independent National Electoral Commission (INEC), Oke-Ode, Kwara State, Nigeria.
  • 2016-2017: IT Consultant, Dalayak IT Consults, Ilorin, Kwara State, Nigeria.
  • 2013-2015: Computer Analyst, Baylings Enterprises, Ilorin, Kwara State, Nigeria.
  • 2012-2013: Computer Analyst (NYSC), Ogun-Oshun River Basin Development Authority, Abeokuta, Ogun State, Nigeria.

Awards and Recognitions:

  • Recognized among the top 169 of the top 500 authors by Elsevier Scholarly Output in Nigeria over the period of 2019-2023 (SciVal).

Skills:

  • Programming Languages: PHP, Visual Basic, SQL, Java, MATLAB, Linux, Microsoft, Python.

Research Interests and Expertise:

  • Machine Learning
  • Big Data
  • Data Mining
  • Bioinformatics
  • Computer Arithmetic

Teaching Experience (2018-2023):

  • Courses Taught:

    • Theory of Computing (CMP 306)
    • Internet Technology (IDEL 207)
    • Data Communication & Computer Networks (HECE 443)
    • Introduction to File Processing (HCSC 202)
    • Assembly Language Programming (HECE 445)
    • Web Technology (HCSC 208)
    • Systems Modelling and Simulation (HCSC 411)
    • Foundation of Sequential Program (CSC 218)
    • Artificial Intelligence (CSC 415)
    • Computer Appreciation I & II (HGNS 103, HGNS 104)
    • Object Oriented Programming Language (CMP 302)
    • Computer Application (HCSC 201)

Administrative Positions:

  • Academic Level Adviser, Computer Science 400L (2021-2022)
  • Examination Officer, Computer Science (2021-2022)
  • Member, University Ranking Committee, Landmark University (2022)
  • Instructor, H3ABioNet’s Introduction to Bioinformatics course (IBT_2021)

Contributions to University Community Development:

  • Member of Landmark University Sustainable Development Goal 9 (“Industry, Innovation, and Infrastructure”)
  • Member of the Local Organizing Committee, 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference (2021)
  • Social Director, Al-Hikmah University Alumni Association

Publications Top Noted:

Paper Title: Adsorptive removal of synthetic food dyes using low-cost biochar: Efficiency prediction, kinetics and desorption index evaluation
  • Authors: Bankole, D.T., Inyinbor, A.A., Oluyori, A.P., Arowolo, M.O.
  • Journal: Bioresource Technology Reports
  • Volume: 25
  • Pages: 101709
  • Year: 2024
Paper Title: Mitigating cyber threats in healthcare systems: The role of artificial intelligence and machine learning
  • Authors: Wisdom, D.D., Vincent, O.R., Igulu, K., Christian, A.U., Baba, G.A.
  • Book: Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
  • Pages: 369–408
  • Year: 2024
Paper Title: Classification of customer churn prediction model for telecommunication industry using analysis of variance
  • Authors: Babatunde, R., Abdulsalam, S.O., Abdulsalam, O.A., Arowolo, M.O.
  • Journal: IAES International Journal of Artificial Intelligence
  • Volume: 12
  • Issue: 3
  • Pages: 1323–1329
  • Year: 2023
Paper Title: Phishing Detection in Blockchain Transaction Networks Using Ensemble Learning
  • Authors: Ogundokun, R.O., Arowolo, M.O., Damaševičius, R., Misra, S.
  • Journal: Telecom
  • Volume: 4
  • Issue: 2
  • Pages: 279–297
  • Year: 2023
Paper Title: Machine learning-based IoT system for COVID-19 epidemics
  • Authors: Arowolo, M.O., Ogundokun, R.O., Misra, S., Agboola, B.D., Gupta, B.
  • Journal: Computing
  • Volume: 105
  • Issue: 4
  • Pages: 831–847
  • Year: 2023

Dr. Gergő Koleszár | Hydrobiology | Best Researcher Award

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Dr. Gergő Koleszár | Hydrobiology | Best Researcher Award

Doctorate at University of Nyíregyháza, Hungary

Professional Profile

Summary:

Dr. Gergő Koleszár is a biologist specializing in aquatic ecosystems, particularly in the interactions between submerged and emergent aquatic macrophytes. With a solid educational background in biology and teaching, he obtained his doctoral degree from Szent István University, focusing on biotic interactions between aquatic plants. His professional experience includes roles as an Assistant Lecturer at the University of Nyíregyháza and a Scientific Assistant at the MTA Centre for Ecological Research. Dr. Koleszár has presented his research findings at various national and international conferences and has several notable publications in reputable scientific journals.

👩‍🎓Education:

Dr. Gergő Koleszár completed his doctoral studies at Szent István University, where he investigated biotic interactions between submerged and emergent aquatic macrophytes. Prior to his doctoral studies, he earned a Bachelor’s degree in Biology from the University of Nyíregyháza and a Master’s degree in Biology Education from Eszterházy Károly University.

Professional Experience:

Dr. Koleszár has gained valuable experience in academia and research. He currently serves as an Assistant Lecturer at the University of Nyíregyháza, where he imparts knowledge in the field of biology. Previously, he worked as a Scientific Assistant at the MTA Centre for Ecological Research, contributing to various research projects related to aquatic ecosystems.

 

Research Interests:

Dr. Koleszár’s research interests revolve around the ecological dynamics of aquatic plant communities, with a focus on competitive relationships between different plant species, phenotypic plasticity, and the spread of invasive species. He has conducted experiments to explore how environmental variables influence the growth and competitive abilities of aquatic plants, contributing to a better understanding of ecosystem functioning and management. Additionally, his work includes biofiltration experiments with aquatic plants, aiming to explore their potential in water purification and remediation processes.

Publications Top Noted:

Title: Density-dependent facilitation and inhibition between submerged and free-floating plants

  • Authors: Szabó, S., Csizmár, A., Koleszár, G., Birk, S., Peeters, E.T.H.M.
  • Journal: Hydrobiologia
  • Year: 2024

Title: Phytoremediation, recovery and toxic effects of ionic gadolinium using the free-floating plant Lemna gibba

  • Authors: Szabó, S., Zavanyi, G., Koleszár, G., Oláh, V., Braun, M.
  • Journal: Journal of Hazardous Materials
  • Year: 2023
  • Citations: 3

Title: Disentangling the mechanisms sustaining a stable state of submerged macrophyte dominance against free-floating competitors

  • Authors: Szabó, S., Koleszár, G., Zavanyi, G., Braun, M., Hilt, S.
  • Journal: Frontiers in Plant Science
  • Year: 2022
  • Citations: 4

Title: Submerged Rootless Macrophytes Sustain a Stable State Against Free-Floating Plants

  • Authors: Szabó, S., Koleszár, G., Braun, M., Vicei, T.T., Peeters, E.T.H.M.
  • Journal: Ecosystems
  • Year: 2022
  • Citations: 12

Title: The Role of Epiphytic Algae and Grazing Snails in Stable States of Submerged and of Free-Floating Plants

  • Authors: Koleszár, G., Nagy, Z., Peeters, E.T.H.M., Birk, S., Szabó, S.
  • Journal: Ecosystems
  • Year: 2022
  • Citations: 8

Ms. Isabelle Grafver | Vascular surgery | Best Researcher Award

Published on by Computer Vision Awards

Ms. Isabelle Grafver | Vascular surgery | Best Researcher Award

Isabelle Grafver at Örebro University, Sweden

Professional Profile

Summary:

Ms. Isabelle Grafver is a PhD student at the School of Medical Science, Örebro University, with a solid academic background and diverse professional experience in the medical field. After earning her Master’s Degree in Medical Science in 2016, she worked as an intern doctor and then as a resident in Anaesthesia and Intensive Care, before transitioning to oncology, where she now serves as a Resident Doctor. Her research focuses on advancing oncology treatments, aiming to bridge the gap between clinical practice and innovative research to improve patient outcomes in cancer care.

👩‍🎓Education:

Ms. Isabelle Grafver holds a Master’s Degree in Medical Science, obtained in 2016 from Örebro University. Her academic journey is marked by a strong foundation in medical science, which paved the way for her transition into a PhD program. As a PhD student at the School of Medical Science, Örebro University, she is deeply engaged in cutting-edge research aimed at advancing the field of oncology. Isabelle’s educational background equips her with a robust understanding of both theoretical and practical aspects of medical science, enhancing her contributions to the field.

Professional Experience:

Ms. Isabelle Grafver’s professional experience is characterized by a diverse and evolving medical career. After earning her Master’s Degree in Medical Science in 2016, she began her career as an intern doctor, where she gained comprehensive hands-on experience in various medical disciplines until 2018. She then specialized as a Resident Doctor in Anaesthesia and Intensive Care for two years, honing her skills in critical patient care. In 2020, Isabelle transitioned to oncology, where she currently works as a Resident Doctor. Her multifaceted experience in different medical specialties enriches her expertise and informs her current research pursuits as a PhD student.

 

Research Interests:

Ms. Isabelle Grafver’s research interests are focused on the field of oncology. As a PhD student at Örebro University, she is dedicated to exploring innovative treatments and improving patient outcomes in cancer care. Her work aims to bridge the gap between clinical practice and research, seeking to develop new therapeutic strategies and enhance the efficacy of existing treatments. Isabelle is particularly interested in personalized medicine, tumor biology, and the development of novel pharmacological approaches to treat various types of cancer. Her goal is to contribute to the advancement of oncology through rigorous research and clinical application.

 

Publications Top Noted:

Title: Intestinal fatty acid-binding protein as a potential biomarker for gastrointestinal complications after complex endovascular aortic surgery

  • Authors: Måns Edström; Jenny Seilitz; Birger Axelsson; Artai Pirouzram; Tal M. Hörer; Kristofer F. NilssonKhan, I., Chinyoka, T., Ismail, E.A.A., Awwad, F.A., Ahmad, Z.
  • Journal: Annals of Vascular Surgery
  • Year: 2024