Hongyao Jia | Ultrathin | Best Researcher Award

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Dr. Hongyao Jia | Ultrathin | Best Researcher Award

Lecturer at Chang’an University, China

Hongyao Jia is a Lecturer at Chang’an University, specializing in Materials Science and Engineering. Holding a PhD from Northwestern Polytechnical University, his research focuses on high-temperature microwave absorption properties of composite ceramics. Jia’s work has been recognized internationally, with his publications earning prestigious awards and acknowledgments. He is skilled in MATLAB coding, system designing for high-temperature electrical and electromagnetic testing, and analysis based on transmission line theory. Passionate about bodybuilding and research, Jia balances his academic pursuits with hobbies like reading. Through his dedication and expertise, he contributes significantly to advancing materials science for various applications.

Professional Profiles:

Scopus profile

Orcid profile

Education Background:

PhD in Materials Science from Northwestern Polytechnical University

Academic and Professional Highlights:

Position: Lecturer, School of Materials Science and Engineering, Chang’an University, Xi’an, Shanxi Province, China (April 2021 – Present)

Responsibilities:

MATLAB coding and calculating High temperature electrical performance testing system designing High temperature electromagnetic parameter testing system designing Design and preparation of functional ceramics Design of microwave absorbing materials for high temperatures Design of ultrathin and wideband microwave absorbing materials for room temperature

Research Focus:

Hongyao Jia’s research primarily focuses on the morphology engineering of heterogeneous carbon particles to enhance dielectric polarization for ultrathin and strong loss absorption. As a Lecturer at Chang’an University, he specializes in Materials Science and Engineering, with a PhD from Northwestern Polytechnical University. Jia’s contributions to the field include studies on mechanical, dielectric, and microwave absorption properties of composite materials, as well as the development of novel dielectric-conductive hybrid composite absorbents. Through his work, Jia aims to advance the understanding and application of materials in areas such as electromagnetic wave absorption and micro-arc oxidation of magnesium alloys, contributing significantly to interdisciplinary research endeavors.

Publications (TOP NOTES)

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Jiangliang HU | Catalysis combustion | Best Researcher Award

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Dr. Jiangliang HU | Catalysis combustion | Best Researcher Award

PHD at the Dalian Institute of Chemical Physics, China

Hu Jiangliang is a Lecturer at the State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology. He holds a PhD from the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, and has pursued advanced studies as a Visiting Scholar at Ecole Normale Supérieure in Paris. With expertise in chemical engineering, his research focuses on synthesis, interactions, and surface structure analysis of mixed metal oxides for environmental and energy applications. He has published 42 papers, holds 12 patents, and has secured numerous grants, including from the National Natural Science Foundation of China. Jiangliang has been recognized as a Merit PhD Student by the Chinese Academy of Sciences. Catalysis combustion

Professional Profiles:

Scopus profile

Education 

2006-2010 Engineer from Luoyang Normal University, Specialty: Chemical Engineering and Technology 2010-2013 MSc in Chemical Engineering, Taiyuan University of Technology 2013-2017 PhD from Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS) 2021-2022 Visiting Scholar at Ecole Normale Supérieure in Paris joint laboratory (Paris, France)

Academic Career

Institution: State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology Position: Lecturer Dates: 01/2017- Current

Research Interests and Track Record

Synthesis, interactions, surface structure analysis and applications related to environment and energy of mixed metal oxides Publications: 42 publications (including JC, J. Mater Chem A, Chem Eng J, Fuel, Chem-Asian J, Micropor Mesopor Mater…) Patents: 12 patents (5 granted) H Factor: 16 Funding ID: National Projects: National Natural Science Foundation of China (No. U20A20132, 22078224, 21978195), The Central Government Guides Local Science and Technology Development Fund Project (YDZJSX2021B006)

Awards

2015: Merit PhD Student of Chinese Academy of Sciences 2009: China National Scholarship

Research Focus:

Hu Jiangliang’s research focus lies in catalysis and materials science, particularly in the synthesis and application of mixed metal oxides for environmental and energy-related processes. His work encompasses investigating the role of basic sites in CO2 hydrogenation to formic acid over Ni-based catalysts, as well as the morphology-steered synthesis of Ce-MnO2 catalysts for low-temperature ethane oxidation. Additionally, he explores the promotion effects of Ce-doping on catalytic oxidation of ethane and the modification of manganese oxides for ozone decomposition. Through his diverse research portfolio, Jiangliang contributes significantly to advancing catalytic technologies for cleaner energy and environmental sustainability.

Publications (TOP NOTES)

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Luming Peng | NMR Spectroscopy | Best Researcher Award

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Prof Dr. Luming Peng, NMR Spectroscopy Award, Best Researcher Award

PHD at the State University of New York, USA

Luming Peng is a distinguished Professor at Nanjing University’s School of Chemistry and Chemical Engineering. With a Ph.D. in Chemistry from the State University of New York, Peng’s expertise lies in materials chemistry, focusing on catalysis, environmental management, and energy storage. He has received numerous awards, including the prestigious Newton Advanced Fellowship from the Royal Society. Peng’s extensive research contributions encompass solid-state NMR spectroscopy, exploring interactions within oxide nanomaterials. He is also highly engaged in academic services, editorial roles, and grant committees. Peng’s dedication to advancing knowledge in chemistry and nurturing young scholars underscores his significant impact in the field.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

ResearchGate profile

LinkedIn profile

Education 

Ph.D. in Chemistry (2006) State University of New York at Stony Brook, NY, USA Thesis Title: Solid-State NMR Studies of Acidic Catalysts. Thesis Advisor: Prof. Clare P. Grey B.S. in Chemistry (2001) Nanjing University, Nanjing, China Thesis Advisors: Prof. Weiping Ding and Prof. Qijie Yan

Professional Experience:

Professor (2013.12-Present) School of Chemistry and Chemical Engineering, Nanjing University, China Associate Professor (2008.08-2013.12) School of Chemistry and Chemical Engineering, Nanjing University, China Postdoctoral Scholar (2006.09-2008.08) Laboratory of Prof. Jonathan F. Stebbins, Department of Geological and Environmental Sciences, Stanford University, USA

Teaching:

Graduate Courses: Basics of Spectroscopy (Lectures on Solid-State NMR Spectroscopy) Undergraduate Courses: Physical Chemistry Physical Chemistry Laboratory University Chemistry Laboratory

Awards

Wang Tianjuan Magnetic Resonance Spectroscopy Award, Chinese Physical Society, China, 2021 Newton Advanced Fellowship, Royal Society, United Kingdom, 2016 Bank of China Teaching Award of Nanjing University, Nanjing University, China, 2013

Research Focus:

Luming Peng’s research primarily focuses on the development and application of advanced catalytic materials for various chemical transformations. His work encompasses the synthesis and characterization of innovative catalysts, including platinum nanoparticles encapsulated in zeolite crystals and acid-resistant carbon nitride with underlying nickel. Peng’s expertise extends to the modulation of lattice oxygen in mixed oxides for chemical looping oxidative dehydrogenation and the selective oxidation of toluene on ceria nanocubes. His contributions also include the identification of different oxygen species in oxide nanostructures using solid-state NMR spectroscopy. Through his research, Peng aims to address key challenges in catalysis and contribute to sustainable chemical processes.

Publications (TOP NOTES)

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Guangle Jia | Kalman filter Award | Best Researcher Award

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Dr. Guangle Jia, Kalman filter Award, Best Researcher Award

Research Associate at University of Calgary, Canada

Guangle Jia, a Chinese national born on June 24, 1990, is a dedicated scholar with a passion for academia and research. He holds a Ph.D. in Control Science and Engineering from Harbin Engineering University and has worked as a Research Associate at the University of Calgary, Canada. With expertise in state estimation and system identification, he explores innovative solutions in indoor localization. Guangle’s academic journey includes notable awards such as the Eyes High Postdoctoral Match-Funding and scholarships from the China Scholarship Council. His diverse interests range from singing to sports like basketball and swimming, reflecting a well-rounded personality committed to excellence in both professional and personal pursuits. Kalman filter.

Professional Profiles:

Scopus profile

Orcid profile

ResearchGate profile

Education Experience

Visiting Ph.D. Student, Department of Electrical and Software Engineering, University of Calgary (2021.05-2022.07) Ph.D. Student, College of Automation, Harbin Engineering University, China (2017.09-2022.06) Master of Engineering, College of Automation, Harbin Engineering University, China (2015.09-2017.06) Bachelor of Engineering, College of Safety Engineering, North China Institute of Science and Technology (2009.09-2013.06). Major: Control Science and Engineering (Ph.D. and Master’s), Geological Engineering (Bachelor’s)

Work Experience:

Research Associate, Department of Electrical and Software Engineering, University of Calgary, Canada (2023.03-2024.03) Instructor, School of Information Science and Engineering, Harbin Institute of Technology, China (2022.09-2024.01)

Research Interests

State Estimation, System Identification, Information Fusion, Indoor Localization

Awards

Eyes High Postdoctoral Match-Funding (2022.11) Scholarship under the State Scholarship Fund by China Scholarship Council (CSC) (2020.08) First-Class Scholarship of Harbin Engineering University (2019.09) Third-Class Scholarship of Harbin Engineering University (2018.09) Second-Class Scholarship of Harbin Engineering University (2017.09, 2016.09, 2015.09)

Research Focus:

Guangle Jia’s research primarily focuses on the development and enhancement of Kalman filter variants and related estimation techniques for robust and adaptive state estimation in dynamic systems. His work spans various domains, including signal processing, circuits, and systems. Jia’s contributions have led to advancements in handling non-stationary and heavy-tailed noises, as well as addressing challenges such as time-varying biases and randomly delayed measurements. His innovative approaches, such as incorporating Student’s t distribution and adaptive strategies, demonstrate a keen interest in tackling real-world complexities in estimation problems. Jia’s expertise significantly impacts fields like navigation, tracking, and sensor fusion, offering reliable solutions for dynamic system estimation challenges.

Publications (TOP NOTES)

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Suil In | Solar Fuel Award | Best Researcher Award

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Prof. Suil In, Solar Fuel Award, Best Researcher Award

PHD at Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea

Suil In, Ph.D., is a tenured Full Professor in the Department of Energy Science & Engineering at Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea. With a background in Chemistry, his research spans various innovative areas including nuclear battery, photo-electrochemical water splitting, and nano-bio medical applications. Holding degrees from prestigious institutions like the University of Cambridge and KAIST, In has also served in diverse roles internationally, including as CEO of NiceScience Corp. and as a visiting scholar at institutions such as California Institute of Technology. His work contributes significantly to the advancement of sustainable energy technologies and has earned him recognition as a leader in the field.

Professional Profiles:

Orcid profile

Googlescholar profile

Education:

Ph.D., Chemistry, University of Cambridge, UK (2008.07. 19) Supervisor: Prof. Richard M. Lambert Thesis title: Catalysts and light: Synthesis and application of new, visible light activated photocatalytic materials M.S., Chemistry, KAIST, Korea (2003. 2. 21) Supervisor: Prof. Yoon Sup Lee Thesis title: Quantum chemical studies of the adsorption of acetylene on the Ge (100) B.S., Chemistry, In-ha University, Korea (2000. 8. 24) Early graduation with honors

Professional Experiences

Mar. 2022 – Present April 2023 – 2024 Sept. 2023 – Feb. 2024 2021 – 2025 Sept. 2016 – Feb. 2022 Full Professor, Dept. of Energy Science & Engineering, DGIST, Korea CEO, NiceScience Corp., Korea PIFI Visiting Scientist of the Chinese Academy of Sciences (CAS) President’s International Fellowship Initiative (PIFI) Visiting Scholar at the Dept. of Chemistry, California Institute of Technology (CALTECH), CA, USA Foreign Expert at ECUST China (the 111 project: Building World Class R&D Universities) supported by the State Administration of Foreign Experts Affairs (SAFEA) of China Associate Professor, Dept. of Energy Science & Engineering, DGIST, Korea Visiting Scholar at the Dept. of Environmental Science & Engineering, California Institute of Technology (CALTECH), CA, USA Jan. 2016 – Dec. 2017 Dean of International and External Affairs, DGIST, Korea Aug. 2012 – Aug. 2016 Assistant Professor, Department of Energy Systems Engineering, DGIST, Korea Sept. 2014 – July 2015 Director of Secretarial Office, DGIST, Korea

Research Interests

Nuclear battery (Betavoltaic), Photo-electrochemical water splitting (Green H2), Electrochemical CO2 conversion, Microbial fuel cell (Green H2), Photocatalytic CO2 conversion, Nano-bio medical applications, UAM (urban air mobility) applications

Research Focus:

Suil In’s research primarily focuses on advancing sustainable energy technologies, particularly in the fields of photoelectrochemical hydrogen generation, photocatalytic CO2 conversion, and solar fuels. His work delves into defect engineering of ternary quantum dots to enhance photoelectrochemical hydrogen generation, surface modification of catalysts for selective CO2 conversion, and electronic interactions between transition metal single-atoms and photocatalysts for CO2 photoreduction. With a strong emphasis on practical applications, In’s research contributes significantly to the development of efficient and environmentally friendly methods for energy production and utilization.

Publications (TOP NOTES)

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Shankar Dutt | Material Modification Award | Research Innovation Award in Physics

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Dr. Shankar Dutt, Material Modification Award, Best Researcher Award

Postdoctoral Fellow (Level A) at AUSTRALIAN NATIONAL UNIVERSITY, Australia

Shankar Dutt, a Postdoctoral Fellow at the Australian National University, is renowned for his pioneering work in developing advanced composite nanopore membranes. With a Ph.D. from ANU, he excels in fabricating innovative coatings for space applications and solid-state nanopore sensing. Shankar’s expertise spans diverse materials and technologies, contributing significantly to medical sensors, ultrafiltration, and lab-on-chip devices. Recognized for his collaborative approach, he has commercialized silicon-based membrane technologies and earned prestigious awards, including the Elsevier NIMB Young Researcher Award. Shankar’s multidisciplinary skills and leadership in research epitomize his commitment to pushing the boundaries of scientific exploration.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

LinkedIn profile

Education:

Doctor of Philosophy Sept. 2018 – Present, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia M.Sc. Physics Honours July 2016 – June 2018, GURU NANAK DEV UNIVERSITY, Amritsar, India B.Sc. Physics Honours July 2013 – June 2016, GURU NANAK DEV UNIVERSITY, Amritsar, India

Employment:

Postdoctoral Fellow (Level A) Dec. 2023 – Present, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia Research Officer 5/6 (0.4 FTE) Nov. 2022 – Nov. 2023, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia

Experimental Expertise: 

Solid state nanopore sensing, synchrotron-based small-angle X-ray scattering, ion beam irradiation, thin-film depositions, microscopy techniques, spectroscopy techniques, microelectromechanical systems.

Research Projects

Postdoctoral Research Canberra, Australia, AUSTRALIAN NATIONAL UNIVERSITY, Dec. 2023 – Present PhD Research Canberra, Australia, AUSTRALIAN NATIONAL UNIVERSITY, Sept. 2018 – Present

Research Focus:

Shankar Dutt’s research primarily focuses on nanopore sensing technologies, including the fabrication and characterization of nanopores in various materials. His work spans from the analysis of ion tracks in polymers to the development of ultrathin silicon nitride membranes for nanopore sensing applications. Additionally, Dutt has contributed to the advancement of solid-state nanopore sensing through innovative approaches such as fusion with machine learning for high accuracy protein identification. His expertise extends to the analysis of nanometer-sized pores using small-angle X-ray scattering, showcasing a multidisciplinary approach to nanopore research with implications for biomarker identification and beyond.

Publications (TOP NOTES)

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Yang Chen | Machine Learning Award | Best Researcher Award

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Dr. Yang Chen, Machine Learning Award, Best Researcher Award

PHD at Harbin Engineering University, China

Yang CHEN, Ph.D., is a dedicated researcher specializing in ship and marine structures design and manufacture. Currently pursuing a Ph.D. at Harbin Engineering University, his focus lies in predicting motion responses of marine engineering through deep learning and digital twin technologies. With a Master’s from the same institution and a Bachelor’s from Zhejiang Ocean University, Yang has garnered numerous accolades, including scholarships and awards for his academic excellence. His research contributions span predictive mooring tension models for semi-submersible platforms, showcasing his expertise in offshore intelligent operation and maintenance. Yang’s innovative work holds promise for enhancing safety and efficiency in maritime industries.

Professional Profiles:

Scopus profile

Orcid profile

Education:

Ph.D. Student College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China 09/2021 – Present Major: Ship and Marine Structures Design and Manufacture Research Area: Motion response prediction of marine structures; Deep learning; Marine engineering digital twin; Offshore intelligent operation and maintenance Thesis Title: Research on the motion response and mooring tension prediction method for semi-submersible production platforms M.Sc. Harbin Engineering University, Harbin, China 09/2020 – 06/2021 B.S. Zhejiang Ocean University, Zhoushan, China 09/2016 – 06/2020

Honors and Awards:

The First Prize Scholarship for Harbin Engineering University [2023] The Three-good students for Harbin Engineering University [2023] The Second Prize Scholarship for Harbin Engineering University [2022] The Second Prize Scholarship for Harbin Engineering University [2021] Zhejiang Ocean University Youth May Fourth Medal [2020]

Research Area:

Motion response prediction of marine structures, Offshore intelligent operation and maintenance, Deep learning, Marine engineering digital twin.

Research Works:

Lihao Yuan, Yang Chen, Yingfei Zan, Shenghua Zhong, Meirong Jiang, Yaogang Sun. A novel hybrid approach to mooring tension prediction for semi-submersible offshore platforms. Ocean Engineering, 287, 115776, 2023. Lihao Yuan, Yang Chen, Zhi Li. Real-time prediction of mooring tension for semi-submersible platforms[J]. Applied Ocean Research, 2024, 146: 103967.

Research Focus:

Yang CHEN, Ph.D., specializes in predictive modeling and analysis within the realm of marine engineering. His research focus primarily lies in developing innovative methods for predicting mooring tension in semi-submersible offshore platforms. With a keen interest in utilizing hybrid approaches and real-time data processing, Yang aims to enhance the efficiency and safety of offshore operations. By integrating deep learning techniques and digital twin technologies, he seeks to provide accurate and timely predictions, crucial for optimizing the performance of marine structures. Yang’s contributions represent a significant advancement in the field, promising practical solutions for the challenges faced in offshore engineering and operation management.

Publications (TOP NOTES)

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Shiwei Liu | Electromagnetic Award | Best Researcher Award

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Assoc Prof Dr. Shiwei Liu, Electromagnetic Award, Best Researcher Award

Associate Professor at Huazhong Agricultural University, China

Shiwei Liu, an Associate Professor and Deputy Director at Huazhong Agricultural University, specializes in Nondestructive Testing (NDT) and advanced sensors. With a Ph.D. in Mechanical Engineering from HUST, he leads research projects funded by prestigious organizations like the National Natural Science Foundation of China. Liu’s expertise spans electromagnetic testing, structural health monitoring, and AI algorithms. He has authored over 40 publications in top scientific journals and holds multiple patents in China. Recognized with awards like the “Best Paper Award” at ICMSD2023, Liu is renowned for his contributions to the field of intelligent detection and digital equipment development.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

ResearchGate profile

Education and Professional Experience:

Huazhong Agricultural University, Associate Professor, Doctoral Supervisor (4/2022-Present) Huazhong University of Science and Technology (HUST), Postdoctor/Assistant Research Fellow (6/2019-3/2022) HUST, Ph.D. in Mechanical Engineering (9/2016-6/2019) HUST, M.E. in Measurement Technology and Instrumentation (9/2014-6/2016) Hubei University of Technology, B.E. in Mechanical Design Manufacturing and Automation (9/2010-6/2014)

Research Interests:

Electromagnetic nondestructive testing techniques and theory Structural health monitoring and signal processing High precision and advanced sensors Virtual instrument and application software development AI algorithms and pattern recognition

Projects:

National Natural Science Foundation of China (NNSFC), Natural Science Foundation of Hubei Province

Honors and Awards:

“Best Paper Award” at ICMSD2023 “Excellent Class Teacher” at Huazhong Agricultural University 2nd-class Science and Technology Progress Award in China Shipbuilding Industry Corporation (CSIC) National Scholarship for Doctoral Candidate, Ministry of Education of China

Research Focus:

Shiwei Liu’s research primarily focuses on nondestructive testing (NDT) methods, sensors, and signal processing techniques, particularly in the domain of wire rope inspection and defect detection. He has contributed significantly to advancing magnetic flux leakage (MFL) testing methodologies, including novel sensor designs and signal analysis approaches. Liu’s work encompasses areas such as electromagnetic NDT, structural health monitoring, and weak signal detection in steel wire ropes. His expertise lies in developing innovative techniques for identifying and evaluating defects in ferromagnetic materials, aiming to enhance the reliability and efficiency of NDT processes in various industrial applications.

Publications (TOP NOTES)

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Sukhendu Sadhukhan | Multiferroics Award | Young Scientist Award

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Dr. Sukhendu Sadhukhan, Multiferroics Award, Young Scientist Award

PHD at The University of Burdwan, West Bengal, India

Dr. Sukhendu Sadhukhan, a highly accomplished researcher and educator based in West Bengal, India, boasts a rich portfolio of achievements. With a patent and over ten publications in esteemed international journals, he excels in multiferroics research. His expertise extends to developing lab instruments, programming Android and web apps, and teaching in both academic and private settings. Dr. Sadhukhan holds a Ph.D. from The University of Burdwan and is proficient in various programming languages and research instruments. His passion for science and technology drives him to continually explore new frontiers in condensed matter physics, making him a notable figure in the field.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

ResearchGate profile

LinkedIn profile

Education:

Secondary: Qualified Madhyamik from Nawpara High School under W.B.B.S.E. in 2009, with Distinction (80.50%) Higher Secondary: Qualified H.S. in Science from Chandannagar Bangavidyalaya under W.B.C.H.S.E. in 2011, with First class (73.40%) Graduation: B.Sc. (Honours) in Physics from The University of Burdwan in 2015, with First class (60.38%) Post-Graduation: M.Sc. in Physics from The University of Burdwan in 2017, with First class (8.16 CGPA ≈ 76.60%) Ph.D.: Awarded on 04.09.2023 under the supervision of Prof. Pabitra Kumar Chakrabarti from The University of Burdwan – Burdwan, West Bengal.

Professional Experience

Research Fellow: 07/2018 – 07/2023, Burdwan, India Teaching: Guest Lecturer of Physics Honours at Department of Physics, Khalisani Mahavidyalaya Dr. Sudhir Chandra Sur Institute of Technology (01.06.2023-01.09.2023, 22.08.2023-Till Now)

Qualifications:

Qualified for the National Eligibility Test (NET) in Physical Science twice. GATE in Physics

Teaching Experience:

Experience in degree and engineering colleges, including as a private tutor for over ten years

Research Information

Research Interest: Multiferroics (Condensed Matter Physics) Thesis Title: To study the Magneto-Electric behavior of some nanocrystalline, nanocomposite and bulk Multiferroics prepared by Chemical and Solid-state reaction routes

Research Focus:

Dr. Sukhendu Sadhukhan’s research focus lies primarily in the field of multiferroics, particularly in exploring the magnetic and electric properties of various materials. His work encompasses a wide range of studies, including the investigation of magnetoelectric coupling in nanocrystalline structures, the enhancement of multiferroicity through co-doping in nanoparticle systems, and the development of novel nanocomposites for applications such as wideband tunable microwave absorption. Through his research, Dr. Sadhukhan contributes significantly to advancing our understanding of multiferroic materials and their potential applications in various fields, from electronics to energy.

Publications (TOP NOTES)

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Emel Koc | Machine Learning Award | Best Researcher Award

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Dr. Emel Koc, Machine Learning Award, Best Researcher Award

PHD at Istanbul Okan University, Turkey

Emel Koç is a Computer Engineering Ph.D. candidate at Istanbul Okan University, specializing in image analysis with machine learning and deep learning approaches. With a background in Information Systems and Technologies from Bilkent University, Emel has held various leadership roles at Istanbul Okan University, focusing on sustainability, innovation, and learning application. She has contributed significantly to projects in clinical decision support systems and mobile game-based learning. Emel’s research, particularly in neuroimaging and biomedical image analysis, showcases her expertise in applying advanced computational techniques to solve real-world problems. Passionate about education, she also teaches courses in Artificial Intelligence and Management Information Systems.

Professional Profiles:

Orcid profile

Education:

Ph.D. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2013 – 2024) Msc. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2011 – 2013) B.S. Bilkent University, Ankara Faculty of Applied Sciences, Information Systems and Technologies (2006 – 2010)

Experience

Sustainability and Innovation Center Assistant Director, Istanbul Okan University, Istanbul (02.08.2023 – Present) Learning Application and Research Center Director, Istanbul Okan University, Istanbul (01.10.2012 – Present) IT Expert, Istanbul Okan University, Istanbul (25.10.2010 – 01.10.2012) Application Development Intern, Acıbadem Hospital, Istanbul (17.08.2009 – 17.02.2010)

Projects

INTOUCH-ICT Project: “ICT Professionals in Touch: New nonroutine skills via mobile game-based learning” (2013 – 2015) Master Thesis: Clinical decision support systems: Methods and applications (2012 – 2013) Multiplatform M-Learning System for More Qualified Courses in the ICT Era (2012)

Teaching

Instructor at Istanbul Okan University covering Artificial Intelligence, Neuroscience and Neuroimaging, and Management Information Systems

Honors & Awards

Received the Blackboard Catalyst Awards – Leading Change in 2021 for contributions to hybrid education transformation.

Research Focus:

Emel Koç’s research primarily focuses on the application of machine learning and data analysis techniques in healthcare and education domains. Her work spans diverse topics such as autism spectrum disorder detection using neural networks, comparative studies on feature selection methods for analyzing medical data, and the implementation of game-based education strategies. Additionally, Emel has contributed to research in clinical decision support systems and the evaluation of classification algorithms for medical diagnoses. Her interdisciplinary approach combines computer science and healthcare management, emphasizing innovation in leveraging technology to improve healthcare outcomes and educational practices.

Publications (TOP NOTES)

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