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.

Jingting Liu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jingting Liu | Engineering | Best Researcher Award

Shandong University | China

Dr. Jingting Liu is an Associate Professor in the Process Equipment and Control Engineering Department at Shandong University. She holds a Ph.D. in Chemical Process Machinery from Zhejiang University and a B.S. in Process Equipment and Control Engineering from China University of Petroleum. Her work focuses on fluid dynamics, vibration, and acoustics, with a particular interest in bubble dynamics.

Professional profile👤

Scopus

Strengths for the Awards✨

  • Research Excellence: Jingting Liu has led multiple research projects, notably funded by prestigious institutions like the National Natural Science Foundation of China and various provincial foundations, highlighting her capacity to secure competitive funding.

  • Publication Record: She has published extensively in high-impact journals, including the Chemical Engineering Journal and Physics of Fluids, showcasing the significance and quality of her research.

  • Innovative Contributions: Her focus on bubble dynamics and acoustics has practical applications in fluid machinery and noise reduction, demonstrating innovation and relevance to real-world challenges.

  • Interdisciplinary Impact: Her work integrates fluid dynamics, vibration, and acoustics, broadening the impact across multiple fields.

  • Leadership and Mentorship: As an associate professor, she not only contributes to research but also teaches and mentors students, nurturing the next generation of researchers.

  • Editorial Roles: Serving as a guest editor reflects her recognition and trust within the scientific community.

Education 🎓

  • Ph.D. in Chemical Process Machinery, Zhejiang University
  • B.S. in Process Equipment and Control Engineering, China University of Petroleum

Experience 💼

Jingting Liu has been serving as an Associate Professor at Shandong University, where she teaches courses in fluid mechanics and fluid machinery. She has led multiple research projects, delving into underwater bubble dynamics and acoustic phenomena. Her contributions extend to both academia and industry, where she provides solutions to reduce noise in fluid machinery.

Research Interests On Engineering🔬

Her primary research interests include fluid machinery, vibration and acoustics, bubble dynamics, and bubble acoustics. She explores the intricate mechanisms behind bubble formation and acoustic emissions, aiming to improve fluid machinery performance and noise reduction.

Awards 🏆

  • Best Researcher Award (Nomination)

Publications 📖

  • Title: Dynamics of bubbles detached from non-circular orifices: Confinement effect of orifice boundary
    Authors: Jingting Liu*, Haoyang Qi, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2024

  • Title: Experimental study on asymmetric bubbles rising in water: Morphology and acoustic signature
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Dazhuan Wu, Songying Chen
    Year: 2022

  • Title: Flow structure and acoustics of underwater imperfectly expanded supersonic gas jets
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2022

  • Title: Numerical simulations and experimental validation on passive acoustic emissions during bubble formation
    Authors: Jingting Liu, Wu Wang, Ning Chu, Dazhuan Wu, Weiwei Xu
    Year: 2018
    Citations: DOI: 10.1016/j.apacoust.2017.09.005

  • Title: Numerical simulations of bubble formation and acoustic characteristics from a submerged orifice: The effects of nozzle wall configurations
    Authors: Jingting Liu, Ning Chu, Shijie Qin, Dazhuan Wu
    Year: 2017
    Citations: DOI: 10.1016/j.cherd.2017.05.002

  • Title: Acoustic analysis on jet-bubble formation based on 3D numerical simulations
    Authors: Liu Jingting, Chu Ning, Qin Shijie, Wu Dazhuan
    Year: 2016
    Citations: INTER-NOISE 2016 – 45th International Congress and Exposition on Noise Control Engineering

  • Title: Acoustic emission measurement of submerged jet-bubble: Laboratory and computational fluid dynamics (CFD)
    Authors: Liu Jingting, Qin Shijie, Ning Chu, Wu Dazhuan
    Year: 2016

  • Title: Three-dimensional numerical simulation of air exhausted from submerged nozzles
    Authors: Liu Jingting, Qin Shijie, Miao Tiancheng, et al.
    Year: 2015

Conclusion 🔝

Jingting Liu has significantly contributed to understanding fluid dynamics and acoustics, with a special focus on bubble dynamics and noise reduction in fluid machinery. Her research not only advances academic knowledge but also provides practical solutions for industrial applications. She continues to inspire the next generation of engineers through her teaching and groundbreaking research.

Suganya | Engineering | Best Researcher Award

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Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
  • Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
  • Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
  • Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
  • Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.

🎓 Education

  • Ph.D. (Computer Science and Engineering)
    • Annamalai University, Tamil Nadu, India
    • Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
  • Master of Engineering (Computer Science and Engineering)
    • MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
  • Bachelor of Engineering (Computer Science and Engineering)
    • Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)

💼 Experience

  • Assistant Professor
    • Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
  • Lecturer
    • Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Ovarian Cyst Classification and Prediction
  • Artificial Intelligence in Healthcare

🏆 Awards

  • Annual Membership in ACM Professional Membership (ID: 5666897)
  • Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
  • Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
  • Coordinated NBA Accreditation Work for the Computer Science Department

📝 Publications

  • Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
    Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
    Year: 2023
    Citations: 17

  • Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 11

  • Title: Classification of medical x-ray images for automated annotation
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 10

  • Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
    Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
    Year: 2021
    Citations: 7

  • Title: Classification of X-rays using statistical moments and SVM
    Authors: S Ganesan, TS Subashini, K Jayalakshmi
    Year: 2014
    Citations: 7

  • Title: An approach toward the efficient indexing and retrieval on medical X-ray images
    Authors: S Ganesan, TS Subashini
    Year: 2013
    Citations: 7

  • Title: A content based approach to medical X-Ray image retrieval using texture features
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 6

  • Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
    Authors: BY Krishna, Y Suganya
    Year: 2011
    Citations: 5

  • Title: Fuzzy based detection and swarm based authenticated routing in MANET
    Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
    Year: 2014
    Citations: 3

  • Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 2

📊 Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.