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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Radha Somaiya | Computational Methods | Best Researcher Award

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Dr. Radha Somaiya | Computational Methods | Best Researcher Award

 PHD at S.V. National Institute of Technology, Surat, India

Dr. Radha N. Somaiya is an Institute Post-Doctoral Fellow at IIT Bombay, specializing in computational condensed matter physics. Her research focuses on the electronic, optical, and thermoelectric properties of 2D materials, particularly silicon-based compounds. She investigates their applications in photo(electro)catalysis for water splitting and reduction of CO2 and nitrogen. Dr. Somaiya holds a Ph.D. from S.V. National Institute of Technology, Surat, where she studied silicon-based 2D materials for energy and sensing applications. With over 11 journal publications and extensive experience in first-principles calculations, she contributes significantly to the fields of renewable energy and nanotechnology.

Professional Profiles

Education

M.Sc. in Applied Physics (2013 – 2015) The Maharaja Sayajirao University of Baroda, Gujarat, India B.Sc. in Physics (Main), Chemistry, and Mathematics (2010 – 2013) M. B. Patel Science College, Sardar Patel University, Anand, Gujarat, India Research Profile Post-Doctoral Fellow (June 2021 – December 2023) Area of Research: Photo(electro)catalytic water splitting, Carbon dioxide reduction, Nitrogen reduction Institution: Indian Institute of Technology Bombay (IIT-Bombay) Mentor: Prof. Aftab Alam Ph.D. in Computational Condensed Matter Physics (2017 – 2021) Thesis Title: Ab initio Study of Some Silicon-based 2D Materials for Energy and Sensing Applications Institution: S.V. National Institute of Technology Surat, Gujarat Mentor: Asso. Prof. Yogesh Sonvane

Experience

Physics Instructor at Rameshwar School of Science, Vadodara (Aug 2016 – July 2017) Physics Laboratory Assistant at Mahatma Gandhi High School, Vadodara (June 2014 – April 2016) Physics Laboratory Assistant at Navjeevan High School, Vadodara (June 2013 – April 2014). First-principles calculations for electronic structure, optical, elastic, strain, thermodynamic, and photo(electro)catalytic properties. Proficient in Python programming and beginner in Machine Learning. Experience in B. Tech first-year laboratory duties, semester exam duties, and PhD exam duties at IIT-Bombay. Mentored a PhD student at S.V. National Institute of Technology Surat.

Research Interests

Investigating the structural, electronic, and photo(electro)catalytic properties of low-dimensional systems. Carrier transport and carrier recombination rates. Optical properties of solar light harvesting materials. Molecular dynamics, density functional perturbation theory, and transition state nudge elastic band calculations. Water splitting (Hydrogen and Oxygen evolution reactions). Reduction of CO2 and N2 to useful hydrocarbons and NH3. Efficient HER catalyst development. Hydrogen storage and Li-ion or Na-ion batteries.

Honors/Fellowships

Shortlisted with provisional offer letter for the INSPIRE PhD Programme (2015) Qualified the PhD Entrance Test (PET) for the Faculty of Science at The Maharaja Sayajirao University of Baroda (2015) Awarded Prof. (Dr.) Padmini Agarwal Gold Medal for excellence in M.Sc. (Applied Physics) (2015) Silver Medal for highest CGPA in B.Sc. (Physics) at M.B. Patel Science College (2013) Silver Medal for second position in B.Sc. (Physics) at M.B. Patel Science College (2013) Selected for the Summer Programme-Advanced B.Sc. (Physics) at St. Xavier’s College, Ahmedabad (2012)

Research Focuse

Dr. Radha N. Somaiya’s research is centered on computational condensed matter physics, with a strong focus on the properties and applications of two-dimensional (2D) materials. Her work involves exploring the electronic, optical, and thermoelectric properties of various 2D materials such as silicon-based compounds and other low-dimensional systems. Key areas include photo(electro)catalytic water splitting, hydrogen evolution reaction (HER), CO2 reduction, and nitrogen reduction. Utilizing techniques like density functional theory (DFT), Dr. Somaiya investigates the structural and electronic properties of materials for applications in energy conversion, storage, and environmental remediation.

Publications

  1. Palladium-decorated SiX (X= N, P, As, Sb, Bi) catalysts for hydrogen evolution, Publication date: 2024.
  2. Strain modulated optical properties of MoSi2P4 monolayer–insights from DFT, Publication date: 2024.
  3. Biphenylene nanoribbon as a promising electrocatalyst for hydrogen evolution, Publication date: 2024.
  4. Efficient Electrochemical CO2 Reduction Reaction over Cu-decorated Biphenylene, Publication date: 2024.
  5. The activity of Pd supported Pd supported SiX (X= Group-V) Single-atom catalysts for hydrogen evolution reaction., Publication date: 2024.
  6. Biphenylene Nanoribbon as Promising Electrocatalyst for Hydrogen Evolution, Publication date: 2024.
  7. Biphenylene for efficient electrochemical renewable energy conversion., Publication date: 2023.
  8. Quasi-2D PdSi2–xGexN4 (x = 0, 1, 2): Promising Candidates for Spontaneous Overall Water Splitting, Publication date: 2023.
  9. Exploring the transport and optoelectronic properties of silicon diselenide monolayer, Publication date: 2021.
  10. Van der waals SiSe2 homo-bilayers for optoelectronics applications, Publication date: 2021.
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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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