Ioannis Manariotis | Engineering | Best Researcher Award

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Prof. Dr. Ioannis Manariotis | Engineering | Best Researcher Award

University of Patras / Department of Civil Engineering | Greece

Prof. Dr. Ioannis Manariotis is a Professor of Environmental Engineering at the University of Patras, Greece. With expertise in wastewater treatment, resource recovery, and microalgae biotechnology, he focuses on sustainable solutions for water pollution and energy production. His work bridges engineering, environmental science, and circular economy principles.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  1. Outstanding Research Output

    • Extensive Publications: Over 85 peer-reviewed journal articles (including high-impact journals like Water Research, Chemical Engineering Journal, Journal of Hazardous Materials).

    • Interdisciplinary Impact: Research spans wastewater treatment, microalgae biofuels, biochar applications, nanoparticle toxicity, and advanced oxidation processes.

    • High Citations & Collaborations: Works with international experts and contributes to cutting-edge topics like biochar-based electrocatalysts for Zn-air batteries and CO₂ sequestration.

  2. Leadership in Research & Innovation

    • Principal Investigator (PI) of multiple funded projects (e.g., EU/EEA Grants, national programs like “BLUE-GREENWAY” and “BioNFate”).

    • Special Issue Editor (Journal of Chemical Technology and Biotechnology) and Associate Editor for Biotechnology for Biofuels and Bioproducts and Frontiers in Water.

  3. Academic & Professional Recognition

    • Full Professor at the University of Patras with a 30+ year career in research and teaching.

    • Supervised 10+ Ph.D. students and 30+ Master’s theses, demonstrating mentorship excellence.

    • Reviewer for 40+ prestigious journals (Water Research, Science of the Total Environment) and evaluator for international research proposals (e.g., Hellenic Foundation for Research).

  4. Technological & Environmental Impact

    • Focus on sustainable solutions:

      • Biochar for water purification and energy storage.

      • Microalgae-based wastewater treatment and biofuel production.

      • Novel sorbents for contaminant removal (e.g., Hg, phenanthrene).

    • Work aligns with UN Sustainable Development Goals (SDG 6: Clean Water, SDG 7: Affordable Energy).

Education 🎓

  • Ph.D. in Civil Engineering (2000), University of Patras, Greece.

  • Diploma in Civil Engineering (1990), University of Patras, Greece.

Experience 💼

  • Professor (2023–Present), Associate Professor (2019–2023), University of Patras.

  • Environmental Engineer (2001–2009), Region of Western Greece (water resources management).

  • Research/Teaching Roles (1991–2019): Lecturer, Assistant Professor, and Research Associate at the University of Patras.

Research Interests On Engineering 🔬

  • Phototrophic wastewater treatment (microalgae, biofilms, biofuels).

  • Resource recovery from wastewater (nutrients, energy).

  • Nanoparticle toxicity on microalgae.

  • Advanced oxidation processes and CO₂ sequestration via biochar.

Awards & Fellowships 🏆

  • Graduate Scholarship, Them. & Nik. Valsamakis Foundation (1991–1992).

  • Predoctoral Fellowship, University of Patras (1992–1998).

  • Technical Chamber of Greece Award (1989–1990).

Publications 📚

1. Removal of caffeine, nicotine and amoxicillin from (waste) waters by various adsorbents. A review
Authors: I Anastopoulos, I Pashalidis, AG Orfanos, ID Manariotis, T Tatarchuk, …
Year: 2020
Citations: 273

2. Degradation of antibiotic sulfamethoxazole by biochar-activated persulfate
Authors: L Kemmou, Z Frontistis, J Vakros, ID Manariotis, D Mantzavinos
Year: 2018
Citations: 187

3. Selection of microalgae for wastewater treatment and potential lipids production
Authors: AF Aravantinou, MA Theodorakopoulos, ID Manariotis
Year: 2013
Citations: 178

4. Degradation of PAHs by high frequency ultrasound
Authors: ID Manariotis, HK Karapanagioti, CV Chrysikopoulos
Year: 2011
Citations: 122

5. Low‐strength wastewater treatment using an anaerobic baffled reactor
Authors: ID Manariotis, SG Grigoropoulos
Year: 2002
Citations: 121

6. Effect of cultivation media on the toxicity of ZnO nanoparticles to freshwater and marine microalgae
Authors: AF Aravantinou, V Tsarpali, S Dailianis, ID Manariotis
Year: 2015
Citations: 111

7. Removal of mercury from aqueous solutions by malt spent rootlets
Authors: VA Anagnostopoulos, ID Manariotis, HK Karapanagioti, …
Year: 2012
Citations: 99

8. Organic and nitrogen removal in a two-stage rotating biological contactor treating municipal wastewater
Authors: DN Hiras, ID Manariotis, SG Grigoropoulos
Year: 2004
Citations: 93

9. Aqueous mercury sorption by biochar from malt spent rootlets
Authors: LG Boutsika, HK Karapanagioti, ID Manariotis
Year: 2014
Citations: 83

10. Preparation and characterization of biochar sorbents produced from malt spent rootlets
Authors: ID Manariotis, KN Fotopoulou, HK Karapanagioti
Year: 2015
Citations: 79

11. Activation of persulfate by biochars from valorized olive stones for the degradation of sulfamethoxazole
Authors: E Magioglou, Z Frontistis, J Vakros, ID Manariotis, D Mantzavinos
Year: 2019
Citations: 73

Conclusion 🌍

🌍 Impact: Prof. Manariotis bridges engineering innovation and environmental sustainability, advancing wastewater treatment, biochar applications, and microalgae research. His work supports global goals in clean water, renewable energy, and circular economy practices.

B. Suresh Babu | Engineering | Best Researcher Award

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Dr. B. Suresh Babu | Engineering | Best Researcher Award

Sandip Institute of Technology and Research Centre | India

Dr. B. Suresh Babu is a Professor of Electrical Engineering at Sandip Institute of Technology and Research Centre, Nashik, with 25+ years of academic and research experience. He holds a Ph.D. in EEE from Anna University and specializes in power system optimization, renewable energy, and smart grids. A prolific researcher, he has authored 50+ publications, filed 8 patents, and received multiple awards for teaching and innovation.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  1. Extensive Academic and Research Experience

    • Holds a Ph.D. in Electrical Engineering from Anna University and has 25+ years of teaching and research experience.

    • Currently serving as a Professor at Sandip Institute of Technology and Research Centre, Nashik.

  2. Strong Research Contributions

    • Published multiple research papers in international journals (IEEE, Springer, Elsevier, IOP, etc.) and presented at national and international conferences.

    • Authored book chapters and books on topics like Power Quality Engineering and Flexible AC Transmission Systems.

    • Research focuses on Power System Optimization, Renewable Energy Integration, Smart Grids, and AI applications in Electrical Engineering.

  3. Patents and Innovations

    • Filed multiple patents, including:

      • “Crop Health Monitoring System using IoT and Machine Learning” (Australia)

      • “AI-based Cooling System for Energy Efficiency” (Australia)

      • “Machine Learning-Based Power Quality Enhancement System” (India)

    • Demonstrates strong innovation and practical application of research.

  4. Workshops, FDPs, and Training Programs

    • Attended and organized numerous Faculty Development Programs (FDPs), workshops, and webinars on emerging technologies like AI, IoT, Electric Vehicles, and Renewable Energy.

    • Completed hundreds of online courses (Coursera, Great Learning, etc.) in Machine Learning, Data Science, Cloud Computing, and Power Systems.

  5. Professional Memberships & Awards

    • Life Member of prestigious bodies like ISTE, IEI, IAENG, and The Institution of Green Engineers.

    • Received multiple awards, including:

      • InSc Best Teacher Award (2021)

      • SIPH Academic Excellence Award (2023)

      • NRA Best Innovative Teacher Award (2023)

Education 🎓

  • Ph.D. in EEE, Anna University, Chennai (2016)

  • M.E. in Power Systems, Annamalai University (2001, First Class)

  • B.E. in EEE, Bharathiar University (1998, First Class)

Experience 💼

  • Professor, Sandip Institute of Technology (2023–Present)

  • Professor, Shri Vishnu Engineering College for Women (2018–2023)

  • HOD & Professor, Odaiyappa College of Engineering (2002–2017)

  • Lecturer, Bharath Niketan Engineering College (1998–1999)

Research Interests On Engineering 🔍

  • Power System Optimization

  • Renewable Energy Integration

  • FACTS Devices

  • AI/ML in Smart Grids

  • Electric Vehicle Technologies

Awards & Honors 🏆

  • InSc Best Teacher Award (2021)

  • SIPH Academic Excellence Award (2023)

  • NRA Innovative Teacher Award (2023)

  • 8 Patents (e.g., AI-based Cooling System, Solar Panel Monitoring Device)

Publications 📜

1. Title: Economic impacts and reliability evaluation of battery by adopting Electric Vehicle
Authors: BS Babu, J Kamalakannan, N Meenatchi, S Karthik, S Boopathi
Year: 2022
Citations: 101

2.Title: Teaching learning based algorithm for OPF with DC link placement problem
Authors: BS Babu, S Palaniswami
Year: 2015
Citations: 14

3.Title: TLBO based Power System Optimization for AC/DC Hybrid Systems
Authors: BS Babu
Year: 2021
Citations: 5

4.Title: Adaptive firefly algorithm based OPF for AC/DC systems
Authors: BS Babu, S Palaniswami
Year: 2016
Citations: 4

5.Title: Adaptive dragonfly optimization based placement of capacitor banks for voltage stability enhancement in distribution networks
Authors: BS Babu
Year: 2021
Citations: 3

6.Title: Real Power Loss Minimization of AC/DC Hybrid Systems with Reactive Power Compensation by using Self Adaptive Firefly Algorithm
Authors: DBS Babu
Year: 2020
Citations: 3

7.Title: Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm
Authors: DBS Babu
Year: 2013
Citations: 3

8.Title: Reducing Power Losses in Power System by using by Self Adaptive Firefly Algorithm (LNCS)
Authors: DBS Babu
Year: 2013
Citations: 3

9.Title: Reducing Power Losses in Power System by using by Self Adaptive Firefly Algorithm (Conference)
Authors: DBS Babu
Year: 2013
Citations: 3

10.Title: Power Conversion in PMSG Wind Energy Conversion Systems using Trans Z Source Inverter
Authors: A Radhika, G Thenmozhi, BS Babu, V Vidhya
Year: 2021
Citations: 2

Conclusion 🌟

Dr. Suresh Babu is a visionary educator and researcher, blending AI, renewable energy, and power systems to address modern engineering challenges. His contributions span patents, books, and high-impact publications, cementing his legacy in advancing sustainable energy solutions.

Miqdad Hussain | Engineering | Best Researcher Award

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Mr. Miqdad Hussain | Engineering | Best Researcher Award

University of Shanghai for Science and Technology | Pakistan

Miqdad Hussain is a dedicated structural engineer with a keen interest in numerical simulation and the optimization of masonry and concrete structures. Currently based in Shanghai, China, he is pursuing a Master’s degree in Civil Engineering at the University of Shanghai for Science and Technology (USST). With strong technical skills, multilingual proficiency, and hands-on experience in both academia and industry, Miqdad aims to contribute to cutting-edge research in structural health monitoring and retrofitting.

Professional profile👤

Google Scholar

ORCID

Strengths for the Awards✨

  • Strong Academic Foundation & Research Focus:

    • Miqdad is pursuing a Master’s in Civil Engineering with a solid CGPA of 3.6/4 from a reputable Chinese university (USST).

    • His research focus on numerical simulation, UHPC (Ultra High-Performance Concrete), and structural optimization reflects current trends and demands in structural engineering.

  • Published Research Output:

    • He has already published in reputable journals such as IJRES and has an accepted paper in the UCAS Indexed Journal of Umm Al-Qura University.

    • Topics are diverse and impactful, including masonry wall performance, material behavior at elevated temperatures, and fiber modeling using Python.

  • Technical Proficiency:

    • Proficient in industry-standard tools such as SAP2000, ETABS, STAAD.Pro, AutoCAD, and ABAQUS.

    • He demonstrates multi-language programming ability (Python, Maple) and technical writing skills—crucial for research dissemination.

  • Scholarships and Awards:

    • Recipient of the SGS Full Scholarship and Academic Excellence Award—showcasing academic merit and competitiveness.

  • Teaching and Leadership:

    • He has taught at school level, indicating communication and mentorship ability.

    • Participation in international conferences in both Pakistan and China reflects global exposure and research communication skills.

🎓 Education

Miqdad holds a Bachelor’s degree in Civil Engineering from Iqra National University, Peshawar, Pakistan (2015–2019), where he focused on fatigue behavior in reinforced concrete. He is now completing his Master’s in Civil Engineering at USST, China (Expected June 2025), with a CGPA of 3.6/4. His thesis involves Numerical Simulation to Investigate the Performance of Existing Masonry Walls Strengthened by Ultra High-Performance Concrete (UHPC) Layer. His academic portfolio includes rigorous coursework in nonlinear analysis, FEM, and advanced concrete/steel structures.

🧠 Experience

Miqdad’s experience spans academia, research, and fieldwork. As a Graduate Researcher at USST (2022–Present), he led simulation-based investigations into UHPC-strengthened masonry. Earlier, he worked as a Site Engineer for contractors in Pakistan, gaining practical insight into construction. Additionally, he served as a Lecturer in Math & Physics, demonstrating leadership in education. His blend of field experience and research makes him well-rounded in structural engineering.

🔬 Research Interest On Engineering

Miqdad’s research interests lie in structural health monitoring, retrofitting techniques, numerical modeling, and sustainable building materials. He is particularly focused on how ultra-high-performance concrete can enhance the strength and durability of aging or unreinforced masonry walls. His work emphasizes performance optimization and fire resistance analysis under elevated temperatures. 🔎🧪

🏅 Awards & Honors

Miqdad has received several accolades, including the prestigious SGS Full Scholarship for his Master’s program at USST (2022–2025). He also earned First Position in Intermediate Studies and the Academic Excellence Award at USST in 2024. His academic and research achievements reflect his commitment to excellence and innovation in civil engineering. 🏆🎖️

📚 Publications

  1. Miqdad Hussain, Bin Peng. “Simulating Influence of Different Mortar types on Performance of Masonry Wall” International Journal of Research in Engineering and Science (IJRES), Vol. 12(05), 2024, pp. 303–315.
    📝 Cited by 3 articles

  2. Xiakun Lin, Surendra Kumar Mahato, Miqdad Hussain. “Enhancing Teaching of Robotics through Computational Modelling” IJRES, Vol. 12(06), 2014, pp. 16–20.
    📝 Cited by 4 articles

  3. Miqdad Hussain, Bin Peng. “Numerical Simulation to Investigate the Performance of Existing Masonry Walls Strengthened by Ultra High-Performance Concrete (UHPC) Layer.” Journal of Umm Al-Qura University for Engineering and Architecture (Accepted, UCAS Indexed).
    📝 Cited by: In review

  4. Upcoming: “Parametric Study of UHPC as a Strengthening Material for Unreinforced Masonry Walls using Detailed Micro-Modeling Approach.” (Ready for Submission)
    📝 Expected to submit in Q2 2025

🔚 Conclusion

Miqdad Hussain is a motivated and talented structural engineer whose blend of technical expertise, research acumen, and cross-cultural experience equips him for advanced studies and impactful innovation. With a vision to strengthen global infrastructure through smart materials and simulations, Miqdad is well-positioned to contribute to structural resilience in the face of modern engineering challenges.

Muhammad Muteeb Butt | Engineering | Best Researcher Award

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Mr. Muhammad Muteeb Butt | Engineering | Best Researcher Award

Istanbul Technical University | Turkey

Muhammad Muteeb Butt is a dynamic research engineer based in Ankara, Turkey, with a strong academic and industrial background in materials science, additive manufacturing (AM), and failure analysis. Currently contributing to cutting-edge research at Gazi University’s Additive Manufacturing Technologies Application and Research Centre, he combines advanced simulation techniques with practical engineering experience. Muteeb is a skilled professional who thrives in multidisciplinary environments, connecting microstructural analysis to fatigue life, and integrating machine learning in mechanical predictions.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

1. Strong Research Focus and Contribution:

  • Muteeb has a clearly defined niche in Additive Manufacturing (AM), especially the fatigue behavior of AM alloys, with a broad understanding spanning corrosion, failure analysis, process parameters, and machine learning applications.

  • He has 10+ journal publications, many in reputable, peer-reviewed journals, and a growing citation count (30+ as of April 2025), demonstrating emerging impact.

  • Reviewer for multiple journals, indicating recognition by the academic community for his expertise.

2. Multidisciplinary Skillset:

  • Demonstrates proficiency in experimental work (SEM, EDS, micro-CT, DSC, mechanical testing) and simulation tools (Flow 3D, Thermo-Calc, Python, SolidWorks).

  • His experience bridges fundamental materials science, applied engineering, and industrial practices, which is rare and valuable.

3. International and Cross-Sector Experience:

  • Has worked in research labs, industry, and academia across Pakistan and Turkey, showing adaptability and a global mindset.

  • Participation and presentations in international conferences (France, Italy, Turkey) enhance his visibility and academic network.

4. Practical Impact and Leadership:

  • Led projects with direct industrial applications (failure analysis, inspections, fitness for service).

  • Experience in lab establishment, project leadership, proposal writing, and academic mentoring.

🎓 Education

📘 Master of Science in Materials Science and Engineering (2017–2020), Institute of Space Technology, Pakistan
Thesis: Development of Iron Oxides-Based Nanocomposites for Enhanced Photocatalytic Activity – Focused on ZnS QDs on iron oxide nanoparticles for improved dye degradation.
📘 Bachelor of Science in Metallurgical and Materials Engineering (2012–2016), University of Engineering and Technology, Pakistan
Thesis: Development of araldite epoxy and RHA based composites – Studied mechanical property enhancement via rice husk ash treatments.

💼 Experience

Research Engineer, Gazi University, Turkey (2022–Present)

  • Developing fatigue life prediction models using CFD and ML.

  • Investigating fatigue, corrosion, and defect morphology in AM alloys.

Lab Engineer, Pak Austria Fachhochschule, Pakistan (2021–2022)

  • Established key teaching and research labs in metallurgy and materials testing.

Project Lead Engineer, Velosi Integrity and Safety, Pakistan (2021)

  • Led failure analysis and inspection projects, contributing to industrial safety protocols.

Research Associate, Institute of Space Technology, Pakistan (2017–2020)

  • Conducted over 40 failure analysis projects and reverse engineering evaluations.

🔬 Research Interests On Engineering

  • Additive Manufacturing: Process-property-performance relationships

  • Fatigue Behavior: Defect mapping, prediction models, microstructure analysis

  • Failure Analysis: Fractography, corrosion, and in-situ metallurgy

  • Machine Learning in Materials Engineering

  • Photocatalytic Nanomaterials for Environmental Applications

🏆 Awards & Certifications

  • 🎓 Partial Scholarship for Master’s Degree (2017–2020)

  • 🧪 CSWIP 3.1 Certified Welding Inspector (2016)

📚 Publications

  1. Title: Conjunction of macroporosity and NH4F treatment for improved performance of TiO2 photoanode in quantum-dot sensitized solar cells
    Authors: MA Basit, MM Butt, M Nazir, MN Ashiq
    Year: 2019
    Citations: 15

  2. Title: Outlining the beneficial photocatalytic effect of ZnS deposition in simplistically developed iron oxide nanocomposites of different stoichiometry
    Authors: MM Butt, TF Khan, M Muhyuddin, MA Akram, MZ Ansar, MA Basit, S Butt
    Year: 2021
    Citations: 6

  3. Title: Corrosion in laser powder bed fusion AlSi10Mg alloy
    Authors: H Laieghi, V Kvvssn, MM Butt, P Ansari, MU Salamci, AE Patterson, …
    Year: 2024
    Citations: 3

  4. Title: Fatigue performance in additively manufactured metal alloys
    Authors: MM Butt, H Laieghi, V Kvvssn, Z Uddin, M Shah, P Ansari, MU Salamci, …
    Year: 2024
    Citations: 3

  5. Title: Failure analysis of a furnace tube support
    Authors: A Jelani, MM Butt, OU Rauf
    Year: 2024
    Citations: 2

  6. Title: Understanding the Effects of Manufacturing Attributes on Damage Tolerance of Additively Manufactured Parts and Exploring Synergy Among Process‐Structure‐Properties. A …
    Authors: Z Uddin, MM Butt, V Kvvssn, MU Salamci, H Kizil
    Year: 2024
    Citations: 1

  7. Title: Recent progress in additive manufacturing of 7XXX aluminum alloys
    Authors: V Kvvssn, MM Butt, H Laieghi, Z Uddin, E Salamci, DB Kim, H Kizil
    Year: 2025

  8. Title: Data driven-based machine learning modelling and empirical correlations for predicting snow-covered area in the Swat Region, Pakistan
    Authors: S Rashid, A Mustafa, A Iqbal, MU Farooq, MM Butt, M Naeem
    Year: 2025

  9. Title: Tempered martensite embrittlement of an alloy steel forging from an automobile vehicle system
    Authors: MK Mehran, MM Butt, A Wakeel
    Year: 2023

🧾 Conclusion

Muhammad Muteeb Butt exemplifies innovation in engineering research, merging academic depth with practical insight. His accomplishments in fatigue behavior, additive manufacturing, and nanomaterials research—supported by a growing citation record and active reviewer roles—underscore his potential as a leader in materials science. With international exposure and technical finesse, he is a strong candidate for any research-based recognition or award. 🌍

Sidra Riaz | Engineering | Best Researcher Award

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Ms. Sidra Riaz | Engineering | Best Researcher Award

Polytechnic of Bari | Italy

Sidra Riaz is a passionate researcher in Aerospace Engineering with a strong foundation in Physics and advanced numerical simulation. Currently based in Bari, Italy, she has cultivated a global academic profile through her PhD at Politecnico di Bari and a research stint at the University of Paris Nanterre, France. Her work primarily explores thermal behavior in composite materials, making valuable contributions to the aerospace and materials science communities.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Strong Academic Background

    • PhD in Aerospace Engineering from Politecnico Di Bari, Italy with advanced research on thermal behavior in layered composites—a cutting-edge area with real-world aerospace applications.

    • Internationally trained with a solid foundation in Physics (Bachelor’s and MPhil), indicating interdisciplinary strength.

  • Research & Innovation

    • Published several high-quality papers in thermographic techniques and numerical modeling using advanced simulation tools like COMSOL and Carrera Unified Formulation (CUF).

    • Her work on composite defect analysis through Lock-in Thermography demonstrates originality and relevance to both academic and industrial applications.

  • International Exposure

    • Visiting Researcher at University of Paris Nanterre, France—showing collaboration across borders and involvement with high-end labs (LEME).

    • Attended and presented at over 10+ international conferences across Europe and Asia, proving her active engagement in global scientific communities.

  • Technical & Analytical Skills

    • Proficient in various modeling, simulation, and analysis tools: COMSOL, MATLAB, IRTA, MUL2, PATRAN, NASTRAN, OriginPro.

    • Demonstrates ability to model complex multi-layered composite materials, a skill crucial in aerospace and materials engineering.

  • Academic and Teaching Contributions

    • Prior experience as a Lecturer in Physics and Mechanics Lab supervision highlights her dedication to knowledge dissemination.

    • Supervised undergraduate projects, building a mentoring portfolio alongside her research.

🎓 Education

Sidra began her academic journey with a Bachelor’s in Physics from Government College University, Faisalabad, Pakistan (CGPA: 3.22/4.00), where she conducted a thesis on plasma properties. She pursued her Master of Philosophy in Physics at the University of Agriculture, Faisalabad (CGPA: 3.72/4.00), researching carbon nanotube synthesis using plasma-enhanced chemical vapor deposition. She then elevated her academic pursuit with a PhD in Aerospace Engineering (2021–2024) from Politecnico Di Bari, Italy. Her doctoral research, supervised by Prof. Umberto Galietti and Prof. Maria Cinefra, focused on dynamic thermal behavior in layered composites. She also worked as a Visiting Researcher at University of Paris Nanterre, under Prof. Michele D’Ottavio, contributing to the LEME Lab.

🧪 Experience

Sidra’s professional experience includes a teaching tenure as a Lecturer (2020–2021) at Informatics Group of Colleges & Polytechnic Institute, Faisalabad, Pakistan, where she led physics labs and supervised undergraduate projects. Her PhD and international collaborations allowed her to master advanced simulation tools and thermographic techniques. She has participated in numerous workshops and conferences across Europe and the Middle East, showcasing her findings and enhancing her scientific outreach.

🔬 Research Interests On Engineering

Sidra’s core research interests lie in numerical modeling, COMSOL Multiphysics simulations, and thermographic techniques for defect detection in composite materials. Her expertise covers Lock-in Thermography, Carrera Unified Formulation (CUF), and COMSOL-based simulation of layered composites. Her work aims at enhancing non-destructive testing methods to improve aerospace safety and efficiency.

🏆 Awards & Achievements

  • 🎓 Awarded International PhD Scholarship in Aerospace Engineering at Politecnico Di Bari, Italy

  • 🌍 Selected as a Visiting Researcher at University of Paris Nanterre, France

  • 📚 Recipient of Punjab Benevolent Fund Scholarship during undergraduate studies

  • 🏅 Consistent scholarship awardee during intermediate education

📚 Publications

Sidra has authored impactful research publications in reputable journals and conferences. Her publications include:

1. Title: The Intelligent Transportation Systems with Advanced Technology of Sensor and Network

Authors: MT Riaz, SM Aaqib, S Ahmad, S Amin, H Ali, S Husnain, S Riaz
Publication Year: 2021
Citations: 21

2. Title: Investigation of Electrical Properties of Epoxy Resin Composite with the Surface Modification of SiO₂ Nanoparticles

Authors: MT Riaz, A Zaib, MZ Khan, S Riaz, S Ahmad, H Ali, MM Qureshi
Publication Year: 2021
Citations: 4

3. Title: Effect of Thermal Conductivities and Lay-up Sequence on Defect Detection in Composite Laminate Using Lock-in Thermography Test

Authors: S Riaz, Davide Palumbo, Umberto Galietti, Maria Cinefra
Publication Year: 2024

✅ Conclusion

Sidra Riaz exemplifies the qualities of a dedicated and innovative researcher. With a global academic footprint, a solid technical foundation, and a passion for problem-solving through simulation and thermography, she is an ideal candidate for a Best Researcher Award. Her contributions to aerospace materials and collaborative mindset make her a valuable asset to the scientific community.

Gokalp Çınarer | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Gokalp Çınarer | Artificial İntelligence | Best Researcher Award

Yozgat Bozok University Computer Engineering Department | Turkey

Dr. Gökalp Çınarer is an Assistant Professor in the Department of Computer Engineering at Yozgat Bozok University. His expertise lies in artificial intelligence, machine learning, image processing, and deep neural networks. Over the years, he has contributed significantly to the academic community with applications of AI in diverse fields, including medicine, agriculture, food technologies, and environmental analysis.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Çınarer has made significant contributions across multiple domains — medicine, agriculture, food technologies, and environmental analysis — leveraging artificial intelligence and machine learning, showcasing versatility and cross-disciplinary impact.
  • High Research Output: With over 50 publications indexed in SCI-Expanded, SSCI, and Scopus, his research output is impressive, indicating a consistent contribution to advancing knowledge in computer engineering and AI applications.
  • Innovative Work in Medical Imaging: His PhD thesis on brain tumor detection through image processing and classification algorithms reflects a critical application of AI in medical diagnostics, directly contributing to healthcare advancements.
  • Academic Leadership: As Head of the Department of Information Processing and Computer Engineering Software at Yozgat Bozok University, Dr. Çınarer plays a pivotal role in shaping academic programs, guiding research initiatives, and mentoring students.
  • Teaching Excellence: He teaches a broad range of courses, including Machine Learning, Deep Learning, and Artificial Intelligence Applications, fostering the next generation of AI researchers and practitioners.

🎓 Education

Dr. Çınarer earned his PhD in Computer Engineering from Kırıkkale University between 2017 and 2021. His doctoral research focused on “Detection of Brain Tumors with Image Processing Techniques and Analysis with Classification Algorithms.”

💼 Experience

Since 2021, Dr. Çınarer has been serving as the Head of the Department of Information Processing and the Head of the Department of Computer Engineering Software at Yozgat Bozok University. He teaches undergraduate and graduate courses, including Machine Learning, Deep Learning, Python Programming, Algorithm Analysis, and Artificial Intelligence Applications.

🔬 Research Interests On Artificial Intelligence

Dr. Çınarer’s research interests encompass artificial intelligence, machine learning, image processing, and deep neural networks. His work delves into AI applications across various fields such as medicine, agriculture, food technologies, and environmental analysis.

🏆 Awards

Dr. Çınarer has been recognized for his pioneering work in artificial intelligence and its applications across multiple disciplines, earning accolades for his contributions to AI-driven medical analysis and agricultural technologies.

📚 Publications

  • Classification of brain tumors by machine learning algorithms
    Authors: G Çınarer, BG Emiroğlu
    Year: 2019
    Citations: 74

  • Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features
    Authors: G Çınarer, BG Emiroğlu, AH Yurttakal
    Year: 2020
    Citations: 57

  • Öğretmenlerin Teknolojik Araçlarla Eğitime Yönelik Tutumlarının Çeşitli Değişkenlere Göre İncelenmesi Yozgat İli Örneği
    Author: G Çınarer
    Year: 2016
    Citations: 27

  • Classification of hazelnuts according to their quality using deep learning algorithms
    Authors: N Erbaş, G Çınarer, K Kiliç
    Year: 2022
    Citations: 21

  • A comparative study on segmentation and classification in breast mri imaging
    Authors: AH Yurttakal, H Erbay, T İkizceli, S Karacavus, G Çinarer
    Year: 2018
    Citations: 21

  • Brain Tumor Classification Using Deep Neural Network
    Authors: G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal
    Year: 2020
    Citations: 16

  • Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
    Authors: G Çınarer, MK Yeşilyurt, Ü Ağbulut, Z Yılbaşı, K Kılıç
    Year: 2024
    Citations: 11

  • Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference
    Authors: G Çınarer, C Kahraman, S Cebi, SC Onar, B Oztaysi, AC Tolga, IU Sari
    Year: 2021
    Citations: 9

  • Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks
    Authors: AH Yurttakal, H Erbay, G Çınarer, H Baş
    Year: 2021
    Citations: 8

  • A Deep Transfer Learning Framework For The Staging Of Diabetic Retinopathy
    Authors: G Çınarer, K Kılıç, T Parlar
    Year: 2022
    Citations: 6

📄 Conclusion

Dr. Gökalp Çınarer stands at the forefront of AI research, leveraging machine learning and image processing to solve complex problems in medicine, agriculture, and environmental science. His work continues to inspire advancements in interdisciplinary fields and pave the way for future innovations.