Kerem Mertoğlu | Computational Methods | Best Researcher Award

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Assist. Prof. Dr. Kerem Mertoğlu | Computational Methods | Best Researcher Award

Professor (Assistant) at Usak University, Turkey

👨‍🎓 Profiles

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Scopus

🧑‍🔬📚Summary

Dr. Kerem Mertohğlu is an Assistant Professor with expertise in horticultural science, focusing on fruit cultivation and breeding. His research spans a range of topics including fruit disease resistance, plant biochemistry, and sustainable agriculture practices. He is active in national and international projects and has contributed to numerous publications in reputable journals. 🧑‍🔬📚

Education

  • Doctoral Degree (2017) in Horticulture, specializing in Fruit Breeding and Cultivation 🌿🎓

Professional Experience

  • Assistant Professor, Usak University, Faculty of Agriculture (2023 – Present) 🍏
  • Researcher, Various National and International Research Projects 📊
  • Visiting Researcher, Leibniz University, Germany (2021-2022) 🌍

Research Interests

  • Fruit Breeding & Cultivation 🍎🍇
  • Plant Disease Resistance (e.g., Erwinia amylovora in pear) 🌾🔬
  • Phytochemical Characteristics & Antioxidant Activity in fruits 🍒
  • Impact of Environmental Factors (e.g., altitude on fruit quality) 🌄
  • Sustainable Agricultural Practices and Post-Harvest Technology 🍃

Key Projects

  • Strengthening Social Capital for Rural Development (EU Project) 🌍
  • Development of Liquid Chromatography for Organic Acid Detection (National Project) 🔬

Top Noted Publications

Screening and classification of rosehip (Rosa canina L.) genotypes based on horticultural characteristics
  • Authors: Mertoğlu, K., Durul, M.S., Korkmaz, N., Bulduk, I., Esatbeyoglu, T.
    Journal: BMC Plant Biology (2024)
Mineral composition modulates Erwinia amylovora resistance in pear based on path analysis
  • Authors: Mertoğlu, K., Evrenosoğlu, Y., Akkurt, E., Yeşilbaş, M.F., Gülmezoğlu, N.
    Journal: European Journal of Plant Pathology (2024)
Preharvest Salicylic Acid and Oxalic Acid Decrease Bioactive and Quality Loss in Blackberry (cv. Chester) Fruits during Cold Storage
  • Authors: Erbas, D., Mertoğlu, K., Eskimez, I., Kaki, B., Esatbeyoglu, T.
    Journal: Journal of Food Biochemistry ( 2024)
Maternal Environment and Priming Agents Effect Germination and Seedling Quality in Pitaya under Salt Stress
  • Authors: Kenanoğlu, B.B., Mertoğlu, K., Sülüşoğlu Durul, M., Korkmaz, N., Çolak, A.M.
    Journal: Horticulturae (2023)
Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
  • Authors: Akkurt, E., Mertoğlu, K., Evrenosoğlu, Y., Alpu, Ö.
    Journal: Erwerbs-Obstbau (2023)

 

 

 

Ferdinando di martino | Computational Methods | Computational Science Excellence Award

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Prof. Ferdinando di martino | Computational Methods | Computational Science Excellence Award

Associate professor at Federico II University of Naples, Italy

Ferdinando Di Martino is an associate professor of computer science at Federico II University of Naples, specializing in fuzzy-based models and computational intelligence for data and image analysis. He has authored over one hundred research papers published in international journals and holds editorial roles in leading academic publications. Di Martino is a member of EUSFLAT and actively contributes to its Research Working Group on soft computing in image processing. He directs a specialization course on advanced spatial analysis in GIS for urban and complex systems and manages research projects funded by Italian and European bodies, focusing on AI applications in managing environmental and climate risks.

Professional Profiles

Associate Professor of Computer Science

Ferdinando Di Martino serves as an associate professor of computer science at the Department of Architecture of the Federico II University of Naples.

Academic Leadership

Di Martino contributes significantly to academic programs and research initiatives: Member of the Italian national doctoral college in Artificial Intelligence within the agricultural-environmental sector. Director of the specialization course on advanced spatial analysis technologies in Geographical Information Systems (GIS) for urban systems and complex systems management.

Project Management

He leads research groups and tasks in both Italian and European funded projects. His projects focus on applying artificial intelligence and computational intelligence techniques to manage urban and complex systems, particularly in addressing environmental and climate-related risks.

Research Focuse

Ferdinando Di Martino’s research focuses on the application of fuzzy transforms and computational intelligence in image and data analysis. He has contributed extensively to methods for image coding and decoding using fuzzy transforms, as well as compression techniques and fragile watermarking for tamper detection. His work spans diverse applications including climate vulnerability assessment models for urban systems, segmentation methods, and predictive data analysis. Di Martino’s expertise also extends to spatial GIS applications, particularly in developing tools for vulnerability modeling and analysis in complex systems like aquifers. His research is pivotal in advancing the intersection of fuzzy logic, computational intelligence, and practical applications in various domains.

Publications

  1. A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means, Publication date: 2022.
  2. Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering, Publication date: 2021.
  3. Graphical views of intuitionistic fuzzy double-controlled metric-like spaces and certain fixed-point results with application, Publication date: 2022.
  4. D-nisq: a reference model for distributed noisy intermediate-scale quantum computers, Publication date: 2022.
  5. A fuzzy partition-based method to classify social messages assessing their emotional relevance, Publication date: 2022.
  6. Fuzzy-Based Spatiotemporal Hot Spot Intensity and Propagation—An Application in Crime Analysis, Publication date: 2022.
  7. A theoretical development of cubic pythagorean fuzzy soft set with its application in multi-attribute decision making, Publication date: 2022.
  8. A GIS-based fuzzy multiclassification framework applied for spatiotemporal analysis of phenomena in urban contexts, Publication date: 2022.
  9. A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams, Publication date: 2022.
  10. A GIS-based framework to assess heatwave vulnerability and impact scenarios in urban systems, Publication date: 2023.
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Sajjad Ali | Computational Methods | Best Researcher Award

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Dr. Sajjad Ali | Computational Methods | Best Researcher Award

PHD at Abdul Wali Khan University Mardan, Pakistan

Dr. Sajjad Ali is a Lecturer in Mathematics at Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan. He received his Ph.D. in Mathematics from Abdul Wali Khan University Mardan in 2019. With over a decade of teaching experience, Dr. Ali specializes in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods. He supervises M.Phil and Ph.D. students and is involved in departmental administration. His research interests include mathematical modeling and computational methods. Dr. Ali is proficient in MATLAB, MS Office, Excel, and LaTeX, and he is fluent in Urdu, English, Pashto, and Khohar.

Professional Profiles

Education

Ph.D. in Mathematics (2015 – 2019) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan M.Phil in Mathematics (2009 – 2012) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan Bachelor of Education (B.Ed) (2007 – 2008) Allama Iqbal Open University, Islamabad, Pakistan Master of Science in Mathematics (2005 – 2007) University of Malakand Chakdara, Khyber Pakhtunkhwa, Pakistan Bachelor of Science in Mathematics (2002 – 2004) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan F.Sc. Pre-Engineering (2000 – 2002) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan Metric in Science (1999 – 2000) Government School No.2 Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan.

Skills

Research in Mathematics Teaching and Administrative Skills Software MATLAB MS Office Excel LaTeX

Work History

Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan Lecturer in Mathematics (2011 – Present) Teaching Ph.D./M.Phil courses in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods Teaching BS courses in Partial Differential Equations and Ordinary Differential Equations Supervising M.Phil and Ph.D. research students M.Phil/Ph.D. Coordinator in the Department of Mathematics Member of the Departmental Admission Committee Warden of Ihsan Boys Hostel Tameer e Seerat Degree College, Mardan Campus, Pakistan Lecturer in Mathematics (2010 – 2011) Taught graduate-level Mathematics Hostel Warden Farabi Degree College, Peshawar, Pakistan Lecturer in Mathematics (2009 – 2010) Taught graduate-level Mathematics Government Degree College, Tangi, Charsadda, Pakistan Lecturer in Mathematics (2007 – 2009) Taught graduate-level Mathematics

Interests

Mathematical modeling, Computational methods

Awards

Top Position Holder in Master of Mathematics at University of Malakand (2007) Awardee as Lecturer in Mathematics through the Higher Education Commission Pakistan (2008)

Research Focuse

Dr. Sajjad Ali’s research focuses on the numerical treatment and computational solutions of fractional order differential equations, with applications in reaction-diffusion systems, biological population models, and ion-acoustic waves. His work includes developing iterative and stable methods for solving boundary value problems of nonlinear fractional differential equations. Dr. Ali has collaborated extensively with international researchers, contributing to journals such as Chaos, Solitons & Fractals and the Journal of Advanced Research. His studies also explore the stability analysis and exact solutions of complex mathematical models, emphasizing fractional calculus and its applications in various scientific and engineering problems.

Publications

  1. Nonlinear coupling of upper-hybrid waves with lower-hybrid waves in a degenerate dense plasma, Publication date: 2021.
  2. Unstable mode of ion-acoustic waves with two temperature q-nonextensive distributed electrons, Publication date: 2021.
  3. Computation of solution to fractional order partial reaction diffusion equations, Publication date: 2020.
  4. On stable iterative solutions for a class of boundary value problem of nonlinear fractional order differential equations, Publication date: 2019.
  5. Computation of iterative solutions along with stability analysis to a coupled system of fractional order differential equations, Publication date: 2019.
  6. Approximate solutions to nonlinear fractional order partial differential equations arising in ion-acoustic waves, Publication date: 2019.
  7. Stable monotone iterative solutions to a class of bound-ary value problems of nonlinear fractional order differential equations, Publication date: 2019.
  8. Monotone iterative technique and Ulam-Hyers stability analysis for nonlinear fractional order differential equations with integral boundary value conditions, Publication date: 2019.
  9. Optimum solutions of space fractional order diffusion equation, Publication date: 2018.
  10. On Approximate solutions of fractional Order partial differential equations, Publication date: 2018.
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Mohamed sheik sirajuddeen mohamedabdullah | computational materials science Award | Innovation in Computational Science Award

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Dr. Mohamed sheik sirajuddeen mohamedabdullah, computational materials science Award, Innovation in Computational Science Award

PHD at B.S.Abdur Rahman Crescent Institute of Science and Technology, India

Mohamed Sheik Sirajuddeen M ,M.Sc., M.Phil., Ph.D is an accomplished Associate Professor at B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. With 21 years of teaching and 10 years of research experience, he specializes in Computational Materials Science, focusing on Density Functional Theory(DFT). His research explores electronic properties of materials, notably transition binary nitrides for semiconductor applications. He holds a Ph.D. in Condensed Matter Physics and has authored numerous papers in international journals. Recognized for his teaching excellence and contributions to Physics, he continues to inspire through his passion for research and commitment to academic advancement.

Professional Profiles:

Scopus profile

Orcid profile

LinkedIn profile

Education:

Ph.D in Condensed Matter Physics (Computational) from Anna University, Chennai, India, 2016 M.Phil in Physics from Manonmaniam Sundranar University, Tirunelveli, India, 2006 M.Sc. in Physics from Bharathidasan University, Trichy, India, 1996-1998 B.Sc. in Physics from Madras University, Chennai, India, 1993-1996.

Experience

B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai Associate Professor 13 years, Dhaanish Ahmed College of Engineering, Chennai Assistant Professor and H.O.D 5.8 years, C.Abdul Hakeem College of Engineering Technology, Melvisharam Lecturer 2.2 years,  Aristo Infotech and Enterprises limited Coordinator(Training) 3 years

Additional Qualifications:

Various certifications including Red Hat Certified System Administrator, ISO 9000-2015 certified Internal Auditor, and others.

Awards and Achievements

Received the Excellent Teaching Award presented by the Vice Chancellor in 2019. Acted as a reviewer for major research journals and served on the editorial board of the Journal of Electronic Research Application. Chaired sessions in International Conferences. Received multiple appreciations and awards for outstanding contributions to Physics research.

Research Focus:

Dr. Mohamed Sheik Sirajuddeen M. is a seasoned researcher with a focus on computational materials science. His work primarily revolves around investigating the structural, electronic, and optical properties of various materials using first-principles techniques such as Density Functional Theory (DFT). He has made significant contributions to the study of ternary halide perovskites, quaternary Heusler compounds, and cubic perovskites, exploring their potential for optoelectronic and spintronic applications. Dr. Sirajuddeen’s research also delves into the electronic and magnetic properties of semiconductors and transition metal compounds, shedding light on their potential in emerging technologies.

 

Publications (TOP NOTES)

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