Waseem Razzaq | Mathematical Physics | Member

Dr. Waseem Razzaq | Mathematical Physics | Member

PHD at COMSETS Vehari Campus, Pakistan

Waseem Razzaq, a dedicated mathematician based in Vehari, Pakistan, holds a PhD in Mathematics and specializes in applied mathematics, fractional calculus, and exact solutions of differential equations. With a strong academic background, including an MPhil and MSc in Mathematics, Razzaq has authored numerous research articles published in reputable journals. He excels in teaching and has held various positions in educational institutions. Recognized as “The Best Teacher of the Year 2011,” Razzaq is passionate about supporting humanitarian actions, enjoys sports and book reading, and actively contributes to educational resources through his YouTube channel “Math Center.”

Professional Profiles:

Education

PhD: Institution: COMSETS Vehari Campus Subject: Mathematics Session: 2022 Fall – Continue Master of Philosophy: Institution: ISP, Multan, Pakistan Subject: Mathematics Session: 2018-2020 Master of Science: Institution: BZU, Vehari campus, Pakistan Subject: Mathematics Session: 2015-017 B.Ed: Institution: AIOU Islamabad Subjects: Math, Physics Session: 2016 B.Sc: Institution: BZU, Multan, Pakistan Subjects: Math-A&B/Comp Session: 2015

Work Experience

V.Principal, Vehari Leads College Pipli Adda Vehari (Feb 2021 – Present) Lecturer (Mathematics), Aspire Groups of Colleges Machiwal campus (July 2019 – Sep 2020) Visiting Lecturer (Mathematics), The Govt. Degree College Vehari (2018) Teacher (Math & Phy), The Smart School Vehari (2016) Teacher (Mathematics), The Educator College (girls campus) Vehari (2014-2015) Teacher (Math & Phy), Allied School Vehari (2013-2014) Teacher (Mathematics), The Public School Vehari (2009-2012)

Achievement

Awarded “The Best Teacher of the Year 2011” in The Public School Vehari.

Research Interests

Applied Mathematics Fractional Calculus Exact solutions of PDEs and ODEs Optimization Numerical solutions of PDEs and ODEs

Research Focus:

Waseem Razzaq’s research focuses on the theoretical and analytical aspects of nonlinear wave equations in optical and oceanographic sciences. He specializes in deriving exact soliton solutions and wave behaviors using various mathematical techniques, including the simplest equation method and fractional calculus. Razzaq’s contributions extend to diverse fields such as nonlinear optics, ocean engineering, and modern physics, as evidenced by his publications in reputable journals. His work significantly advances our understanding of nonlinear phenomena and contributes to the development of mathematical tools for modeling complex systems in optics and oceanography.

Publications

  1. Construction of Solitons and Other Wave Solutions for Generalized Kudryashov’s Equation with Truncated M-Fractional Derivative Using Two Analytical Approaches, cited by: 1, Publication: 2024.
  2. The complex hyperbolic Schrödinger dynamical equation with a truncated M-fractional by using simplest equation method, Publication: 2024.
  3. Applications of the Simplest Equation Procedure to Some Fractional Order Differential Equations in Mathematical Physics, Publication: 2024.
  4. The kink solitary wave and numerical solutions for conformable non-linear space–time fractional differential equationsPublication: 2024.
  5. Searching the new exact wave solutions to the beta-fractional Paraxial nonlinear Schrödinger model via three different approaches, cited by: 3, Publication: 2024.
  6. New analytical wave solitons and some other wave solutions of truncated M-fractional LPD equation along parabolic law of non-linearitycited by: 4, Publication: 2023.
  7. Solitary wave solutions of coupled nerve fibers model based on two analytical techniques, cited by: 2, Publication: 2023.
  8. Optical solitons to the beta-fractional density dependent diffusion-reaction model via three different techniques, Publication: 2023.
  9. New Three Wave and Periodic Solutions for the Nonlinear (2+ 1)-Dimensional Burgers Equations, Publication: 2023.
  10. Research Article Solitary Wave Solutions of Conformable Time Fractional Equations Using Modified Simplest Equation Method, Publication: 2022.
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Muhammad Khuram Shahzad | Nano Materials | Member

Assist Prof Dr. Muhammad Khuram Shahzad | Nano Materials | Member

Assistant Professor at Khwaja Fareed University of Engineering and Information Technology, Pakistan

Dr. Muhammad Khuram Shahzad is an Assistant Professor at Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Pakistan. With a Ph.D. in Physics from Harbin Institute of Technology, China, he specializes in up-conversion nano-materials for biological applications, hyperthermia, and cancer treatments. He has 28 international publications with an impressive impact factor of 250.31. Dr. Shahzad has completed projects funded by Pakistan Science Foundation and Chinese Scholarship Council, focusing on efficient synthesis and preparation of up-conversion nanoparticles. Recognized for his research excellence, he has received awards from the Higher Education Commission of Pakistan and the Prime Minister’s office, showcasing his dedication to advancing scientific knowledge.

Professional Profiles:

Education

Ph.D. Physics, 2019 – Harbin Institute of Technology, China Master of Philosophy (M.Phil), 2015 – Department of Physics, University of Agriculture, Faisalabad, Pakistan Master of Science (M.Sc.) Physics, 2011 – Government College University Faisalabad, Pakistan Bachelor of Science (B.Sc.) Physics, 2006 – University of the Punjab, Lahore, Pakistan

Work Experience

Lecturer in Physics: Masomeen College for Advanced Studies, Chiniot (2010-2015) Post Doc Position: Henan University, Kaifeng China (4, December 2019 – 30, September 2020) Assistant Professor: KFUEIT (30, September 2020 – Present)

Research Experience

Six (6) years research experience in the field of up-conversion (UC) nano-materials for biological applications, hyperthermia and cancer treatments, sensors, thin films, nanotechnology, DFT, and Optogenetics Total publications: 28 International Publications: 28 International Impact factor: 250.31 Submitted articles: 3 International journal’s reviewer: Physical and Engineering Sciences in Medicine, Biomedical optics express, Journal of biological chemistry, Pakistan journal of biological science

Awards / Achievements

Awarded best researcher by Higher Education Commission of Pakistan on 04, November-2022 Won laptop and certificate by Prime Minister of Pakistan for best young researcher in Pakistan in 2015. CSC scholarship for doctoral degree admission in China from 2016 to 2019. Sparkle fellowship on 20 December 2020 (Ireland).

Research Focus:

Muhammad Khuram Shahzad’s research primarily focuses on nanomaterials and their applications in biomedical engineering, particularly in the fields of hyperthermia therapy and optical sensing. His work includes the synthesis and characterization of nanoparticles for photo-hyperthermia therapy, as well as the development of optical temperature sensing probes using nanostructured materials. Additionally, Shahzad investigates the use of nanocomposites for contaminant removal and solar-to-fuel conversion. His contributions span various disciplines, including nanotechnology, photonics, and materials science, aiming to advance knowledge and technology for biomedical and environmental applications.

Publications

  1. Fermented Corn Stalk for Biosorption of Copper(II) from Aqueous Solution, cited by: 2, Publication: 2018.
  2. A DFT study of structural, electronic, optical, thermal and mechanical properties of cubic perovskite KGeX3 (X = Cl, Br) compound for solar cell applications, cited by: 1, Publication: 2024.
  3. Structural, electronic, optical, and mechanical properties of cubic perovskite LaMnX3 (X = Cl, Br, I) compound for optoelectronic applications: a DFT study, Publication: 2024.
  4. Structural, Electronic, Mechanical, and Optical properties of the lead-free halide perovskites XGeCl3(X = Cs, K, and Rb) for the photovoltaic and optoelectronic applications, Publication: 2023.
  5. Analysis of gold nanospheres, nano ellipsoids, nanorods, and effect of core–shell structures for hyperthermia treatment, Publication: 2022.
  6. Influence of VO2 based structures and smart coatings on weather resistance for boosting the thermochromic properties of smart window applicationsPublication: 2022.
  7. Zirconium-based cubic-perovskite materials for photocatalytic solar cell applications: a DFT study, Publication: 2022.
  8. Investigation on optical temperature sensing behaviour via Ag island-enhanced luminescence doped β-NaGdF4:Yb3+/Tm3+ films/microfibers†Publication: 2021.
  9. Facile preparation of upconversion microfibers for efficient luminescence and distributed temperature measurement†, Publication: 2019.
  10. Dispersing upconversion nanocrystals in PMMA microfiber: a novel methodology for temperature sensing, Publication: 2018.
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Seyyed Abdollahi | High energy physics | Member

Mr. Seyyed Abdollahi | High energy physics | Member

Scholarship at Tabriz University, Iran

I was B.Sc. Student in Mechanical Engineering at Tabriz University and I was among the top 5%, I also received a full scholarship from Tabriz University for the master’s degree, and now I am a master’s student in energy conversion trend at Tabriz University. I was also a Teacher assistant in the Strength of Materials and Design of Machine Elements courses, and I have been working with Dr. Seyyed Faramarz Ranjbar and Dr. Farid Vakili Tahami for 1 year. I am also interested in researching the topics of Power Plants, Thermodynamics, Fluid mechanics, Air conditioning, Energy and Solar energy. Which led to the writing three books I am also interested in working and researching on these topics in the future: 1-Renewable Energy 2-Exergy Analysis 3-Piezoelectric Micropumps 4-Photovoltaics(PV) 5-Nanofluids 6-Energy Analysis 7-Fuel Cells 8-Analysis of Wind Turbin

Professional Profiles:

Education

Master of Mechanical Engineering Branch: Energy Conversion Institute/University: Tabriz University Tabriz , East Azerbaijan, Iran 2022 – Present Bachelor of Mechanical Engineering Institute/University: Tabriz University Tabriz , East Azerbaijan, Iran 2018 – 2022 GPA : 17.90(out of 20)

Work Experience

Internship Tabeiz Thermal Power Station Tabriz , East Azerbaijan, Iran July 2021 – August 2021 Tasks and Achievements Teacher Assistant in the Design of Machine Elements course Tabriz University Tabriz , East Azerbaijan, Iran September 2021 – Present Tasks and Achievements Teacher Assistant in the Power Plants course Tabriz University Tabriz , East Azerbaijan, Iran September 2022 – January 2023 Email: s.a_abdollahi@yahoo.com Mobile: (+98)9380596289 Website: www.linkedin.com/in/seyyed-amirrezaabdollahi-powerplants-renewableenergy Address: Tabriz , East Azerbaijan, Iran DoB: 1998-09-24 Marital Status: Single Military Service: Educational Exemption Seyyed Amirreza Abdollahi Mechanical Engineering Profile Summary Education Work Experience I went to the Tabriz Thermal Power Plant for a training course. There i observed the things that i studied theoretically in the Thermodynamics course. I visited the important parts ofthe power plant such as ControlRoom, Steam Turbines, Boilers, Cooling Towers and the Chemical Department . Results of my research led me to write a book called “Tabriz Thermal Power Plant” As a teacher’s assistant, I solved additional exercises forthe students and supervised their

Research Focus:

The research focus of SA Abdollahi spans across various fields, primarily centered around computational fluid dynamics (CFD), heat transfer, nanofluids, porous media techniques, and numerical analysis. Their work encompasses simulations of heat transfer and fluid flow in microchannel heat sinks, investigation of blood hemodynamics in aneurysms, optimization of chemical processes, and modeling the separation capabilities of membranes. Additionally, they explore topics such as magnetohydrodynamics, biomaterial phase equilibria, and the application of machine learning techniques in estimating biomass properties. Abdollahi’s research demonstrates a broad interest in advancing understanding and optimization across diverse engineering and scientific domains.

Publications

  1. Computer simulation of Cu: AlOOH/water in a microchannel heat sink using a porous media technique and solved by numerical analysis AGM and FEM, cited by: 37, Publication: 2023.
  2. Investigating heat transfer and fluid flow betwixt parallel surfaces under the influence of hybrid nanofluid suction and injection with numerical analytical technique, cited by: 29, Publication: 2023.
  3. Computational study of blood hemodynamic in ICA aneurysm with coiling embolism, cited by: 18, Publication: 2023.
  4. Numerical study of heat transfer of wavy channel supercritical CO2 PCHE with various channel geometries, cited by: 11, Publication: 2023.
  5. Influence of extruded injector nozzle on fuel mixing and mass diffusion of multi fuel jets in the supersonic cross flow: computational study, cited by: 9, Publication: 2023.
  6. Removal of ciprofloxacin and cephalexin antibiotics in water environment by magnetic graphene oxide nanocomposites; optimization using response surface methodology, cited by: 7, Publication: 2023.
  7. Optimizing the amount of concentration and temperature of substances undergoing chemical reaction using response surface methodology, cited by: 7, Publication: 2023
  8. Phase Equilibria Simulation of Biomaterial-Hydrogen Binary Systems Using a Simple Empirical Correlationcited by: 6, Publication: 2023
  9. Modeling the CO2 separation capability of poly(4-methyl-1-pentane) membrane modified with different nanoparticles by artificial neural networks,  cited by: 5, Publication: 2023
  10. Applying feature selection and machine learning techniques to estimate the biomass higher heating valuecited by: 3, Publication: 2023
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Sobia Sadiq | Astrophysics | Member

Assist Prof Dr. Sobia Sadiq | Astrophysics | Member

PHD at the University of the Punjab, Pakistan

Dr. Sobia Sadiq is an Assistant Professor at the University of Education, Lahore, Pakistan. She holds a Ph.D. in General Relativity (2019) and an M.Phil. in Applied Mathematics (2015) from the University of the Punjab. With a keen interest in Cosmology and Relativistic Astrophysics, she has presented her research at international conferences and seminars. Dr. Sadiq’s academic journey includes notable achievements such as receiving the HEC Indigenous Ph.D. Fellowship and organizing academic events. Her commitment to teaching and research underscores her dedication to advancing the field of Mathematics and Physics.

Professional Profiles:

Education

Feb. 2019 Ph.D. in General Relativity Thesis: Study of Physical Characteristics of Stellar Configurations Supervisor: Prof. Dr. Muhammad Sharif, Dean, Faculty of Science, University of the Punjab, Lahore 4.00 CGPA (Course Work) 4.00 CGPA (Comprehensive) University of the Punjab, Lahore Aug. 2015 M.Phil. in Applied Mathematics Thesis: Conformally Flat Anisotropic Polytropes Supervisor: Prof. Dr. Muhammad Sharif, Dean, Faculty of Science, University of the Punjab, Lahore 3.80 CGPA University of the Punjab, Lahore Jul. 2013 BS Mathematics 3.91 CGPA University of the Punjab, Lahore

Administrative Experience

Organizer, One Day Conference on Gravitation and Cosmology, Department of Mathematics, University of the Punjab, Lahore (2016). Organizer, PU 1st International Conference on Gravitation and Cosmology, Department of Mathematics, University of the Punjab, Lahore (2019). TEACHING EXPERIENCE Visiting Assistant Professor at Department of Mathematics, University of Education, Jauharabad Campus from November 04, 2019 to March 04, 2020. Assistant Professor (TTS) at Department of Mathematics, University of Education, Bank Road Campus, Lahore from December 01, 2021 to to-date.

Awards Scholarships and Honors

3 rd position in Intermediate with merit certificates and prizes awarded by BISE Sargodha and government of the Punjab, Pakistan. Merit Scholarship awarded by Punjab University during BS and M.Phil. 3 rd position in BS Mathematics. HEC Indigenous Ph.D. Fellowship for 5000 Scholars, Phase-II, Batch-III.

Research Interest

Cosmology, Electromagnetic Field Theory, Geometry, Special and General Relativity, Relativistic Astrophysics Mathematical Techniques.

Research Focus:

Dr. Sobia Sadiq’s research focuses on theoretical physics, specifically in the areas of gravitational decoupled solutions, anisotropic geometries, and electromagnetic effects on polytropes. Her work, often in collaboration with Prof. M. Sharif, has contributed significantly to understanding the behavior of charged and anisotropic systems, such as cylindrical and spherical configurations. Additionally, she has explored the thermodynamics of charged black holes and studied tidal effects in regular black holes. Dr. Sadiq’s research addresses fundamental questions in cosmology and astrophysics, shedding light on the intricate dynamics of gravitational and electromagnetic fields within diverse geometric settings.

Publications

  1. Thermodynamics of Charged Black Hole in Symmetric Teleparallel Gravity, cited by: 17, Publication: 2023.
  2. A comparative study of new generic wormhole models with stability analysis via thin-shell, cited by: 11, Publication: 2022.
  3. Charged anisotropic gravitational decoupled strange stars via complexity factor, cited by: 3, Publication: 2022.
  4. Anisotropic stellar solutions in torsion-trace gravity under Karmarkar condition, cited by: 3, Publication: 2022.
  5. Criticality and phase transition of Kerr–anti-de Sitter black hole with quintessence and cloud of strings, cited by: 2, Publication: 2023.
  6. Study of Cylindrical Polytropes with Cosmological Constant, cited by: 1, Publication: 2019.
  7. 2+ 1-dimensional gravitational decoupled anisotropic solutions, cited by: 15, Publication: 2019.
  8. Study of gravitational decoupled anisotropic solution, cited by: 6, Publication: 2019.
  9. Study of conformally flat polytropes with tilted congruence, cited by: 5, Publication: 2018.
  10. Stable anisotropic dissipative quark star with tilted observer, cited by: 2, Publication: 2018.
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Rabia Saleem | General Relativity | Member

Assist Prof Dr. Rabia Saleem | General Relativity | Member

PHD at University of the Punjab, Pakistan

Dr. Rabia Saleem, an esteemed HEC Approved Ph.D. Supervisor, is a prominent figure in mathematics, specializing in General Relativity. With 59 research papers in ISI impact factor journals and supervision of 17 MS students, her contributions are substantial. She has taught 50 courses at COMSATS University Islamabad, Lahore Campus. Rabia completed her Ph.D. in General Relativity from the University of the Punjab, Lahore, and has received numerous accolades, including the Indigenous Ph.D. Fellowship and a Research Productivity Award. Her administrative roles include organizing international conferences and serving on committees. Rabia’s expertise and leadership make her a vital asset to the academic community.

Professional Profiles:

Education

Ph.D. in General Relativity (2012-2015) University: University of the Punjab, Lahore Supervisor: Prof. Dr. Muhammad Sharif Thesis Title: “Some Inflationary and Cosmic Issues in General Relativity”

Awards, Scholarships, and Honors:

Indigenous Ph.D. Fellowship, Higher Education Commission, Pakistan (2012-2015) Research Productivity Award (2015-2017) Travel grant from PHEC to attend V Italian-Pakistani Workshop on Relativistic Astrophysics, MXP, Italy (2016) Selected as a Young TWAS Affiliate from Pakistan (2021)

Practical Exposure

Assistant Professor, Department of Mathematics, Govt. College University, Lahore (Jan. 2016 to Jan. 2017) Assistant Professor, Department of Mathematics, COMSATS University Islamabad, Lahore Campus (Feb. 2017 to Present)

Administrative and Social Experience

Organizer of International Conference on Relativistic Astrophysics, 2015 Member of Admission Committee in COMSATS University Islamabad, Lahore Campus (2017-Present) Organizer of 2nd International Conference on Recent Advances in Applied Mathematics, COMSATS University Islamabad, Lahore Campus (2019) Member of Lindau Alumni Network (2019) Lindau Alumni Peer Reviewer (2020) Member of International Research Conference Committee (2021)

Research Focus:

The research focus of R. Saleem appears to be primarily centered around various aspects of theoretical cosmology and gravitational physics. Their work encompasses topics such as warm inflationary universe models, exact wormhole solutions, compact stars, dark energy models, and gravitational theories like f(T, T) gravity. They explore diverse phenomena like inflationary dynamics, cosmological gases, anisotropic models, and the effects of viscous pressure on cosmological evolution. Saleem’s research also delves into interdisciplinary areas, including electrochemical properties of nanomaterials for supercapacitors. Overall, their work contributes significantly to understanding the fundamental aspects of the universe and its evolution through theoretical frameworks and observational implications.

Publications 

  1. Interior solutions of compact stars in f (T, T) gravity under Karmarkar condition, cited by: 24, Publication date: 2020.
  2. The optical appearance of charged four-dimensional Gauss–Bonnet black hole with strings cloud and non-commutative geometry surrounded by various accretions profilescited by: 18, Publication date: 2023.
  3. Confronting the warm vector inflation in Rastall theory of gravity with Planck 2018 datacited by: 17, Publication date: 2020.
  4. Physical aspects of anisotropic compact stars in gravity with off diagonal tetradcited by: 12, Publication date: 2021.
  5. Dynamical study of interacting Ricci dark energy model using Chevallier-Polarsky-Lindertype parametrizationcited by: 9, Publication date: 2020.
  6. Anisotropic spherical solutions via EGD using isotropic Durgapal–Fuloria modelcited by: 8, Publication date: 2021.
  7. Cosmological inflation in f (X) gravity theorycited by: 8, Publication date: 2019.
  8. Exact wormholes solutions without exotic matter in  gravitycited by: 34, Publication date: 2019.
  9. Electromagnetic field and dark dynamical scalars for spherical systemscited by: 11, Publication date: 2019.
  10. Synthesis, characterization and electrochemical properties of α-MnO2 nanowires as electrode material for supercapacitorscited by: 32, Publication date: 2018.

 

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Min Yang | High Energy physics | Best Researcher Award

Prof. Min Yang | High Energy physics | Best Researcher Award

PHD at Qingdao University of Technology, Qingdao, China

Dr. Min Yang, based at Qingdao University of Technology, Qingdao, China, is a distinguished researcher recognized as a Highly Cited Researcher for Clarivate in 2022 and listed among the World’s Top 2% Scientists in 2023. With an H-index of 45, she has authored 83 influential papers, including 39 ESI HOT/Highly Cited papers, accumulating 8205 WOS citations. As the chief expert of the Qingdao Nanolubricant Quasi Dry Manufacturing Expert Workstation, her expertise spans grinding, precision machining, biomedical material processing, and the preparation of wearable sensors. Additionally, she has authored 4 books, contributing significantly to her field. High Energy physics

Professional Profiles:

Scopus

Researchgate

Education

phd, Qingdao University of Technology, Qingdao, China

Accolades

Min Yang is a Highly Cited Researcher for Clarivate in 2022 and recognized as one of the World’s Top 2% Scientists in 2023. She has made significant contributions, with 83 highly influential papers to her name, including 39 ESI HOT/Highly Cited papers. Her impressive H-index of 45 reflects the impact of her work, which has garnered a total of 8205 WOS citations. High Energy physics

Expertise

Her expertise extends to serving as the chief expert of the Qingdao Nanolubricant Quasi Dry Manufacturing Expert Workstation.

Publications

In addition to her prolific paper output, Min Yang has authored 4 books, 2 of which were published by Science Press.

Research Interest

Grinding and precision machining, Biomedical material processing, Preparation of wearable sensors

Research Focus:

Dr. Min Yang’s research focuses on various aspects of advanced manufacturing technology, particularly in the field of grinding and precision machining. Her recent work includes investigations into the grindability evaluation of ultrasonic-assisted grinding of silicon nitride ceramic using minimum quantity lubrication based SiO2 nanofluid. Additionally, she has contributed significantly to understanding material removal mechanisms and force modeling in ultrasonic vibration-assisted micro-grinding of biological bone. Dr. Yang’s expertise extends to exploring heat transfer mechanisms in cryogenic air minimum quantity lubrication grinding of titanium alloy and developing temperature field models in surface grinding. She continues to advance knowledge in these areas through her research at Qingdao University of Technology, Qingdao, China. High Energy physics

Publications

  1. Temperature field model in surface grinding: a comparative assessment, Publication: 2023.
  2. Material Removal Mechanism and Force Modeling in Ultrasonic Vibration-Assisted Micro-Grinding Biological Bone, Publication: 2023.
  3. Convective Heat Transfer Coefficient Model Under Nanofluid Minimum Quantity Lubrication Coupled with Cryogenic Air Grinding Ti–6Al–4VPublication: 2020.
  4. Nanobiolubricant grinding: a comprehensive reviewPublication: 2024.
  5. Kinematics and improved surface roughness model in milling, Publication: 2022.
  6. Graphene-based flexible wearable sensors: mechanisms, challenges, and future directions, Publication: 2023.
  7. Grindability Evaluation of Ultrasonic Assisted Grinding of Silicon Nitride Ceramic Using Minimum Quantity Lubrication Based SiO2 NanofluidPublication: 2024.
  8. Magnetic Bearing: Structure, Model and Control strategyPublication: 2023.
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Mahmoud Soufbaf | Gamma irradiation | Member

Assist Prof Dr. Mahmoud Soufbaf | Gamma irradiation | Member

Academic staff at Agricultural, Medical and Industrial Research school, Karaj, Iran

Mahmoud Soufbaf Sarjami, born on January 12, 1978, in Iran, is an accomplished academic and researcher specializing in entomology and applied mathematics. With a diverse educational background spanning from plant protection to mathematics, Mahmoud has made significant contributions to the field, particularly in insect behavior and population dynamics. Currently serving as academic staff at the Agricultural, Medical, and Industrial Research school in Karaj, Iran, Mahmoud is renowned for his expertise in mathematical analyses and sterile insect technique (SIT). His research interests include dynamical systems and their application in biological contexts. He is also dedicated to mentoring and guiding students in their academic pursuits.

Professional Profiles:

Education

B.S in Plant Protection, Isfahan University of Technology, Isfahan, Iran, 2001 M.Sc in Entomology, Mohaghegh Ardabili University, Ardabil, Iran, 2008 PhD in Entomology, Tarbiat Modarres University, Tehran, Iran, 2011 B.Sc in Mathematics, Payame Nour University, Karaj, 2018 M.Sc in Applied Mathematics, Tehran University, 2021

Professional Qualifications

Mathematical analyses using Matlab and Mathematica Statistical analyses using SAS, SPSS, and Minitab Insect rearing on natural and artificial diets Sterile Insect Technique (SIT) Planning and constructing insectaries Entomological experiments planning Windows skills, MS Office (Word, Excel, Power Point), Latex

Academic qualifications

A Review on Trichogramma wasps rearing methods in insectariums. B.S. project. Pheromone release behavior of the carob moth, Ectomyelois ceratoniae, under laboratory and field conditions. (M.Sc thesis in Entomology). Modeling and analysis of tritrophic interactions in canola-Plutella xylostella-parasitoid system. (PhD thesis in Entomology). Modeling obesity in Iranian teenagers using artificial neural networks. (B.S. project in Mathematics) Analysis of Competition Term in Lotka-Volterra Model. (M.Sc thesis in Mathematics)

Research interest

Multiple time scale dynamical systems Bifurcation theory in biological dynamical systems Ergodic theory Mathematical & Physical aspects of Sterile Insect Technique

Research Focus:

Mahmoud Soufbaf Sarjami’s research focuses primarily on the ecological dynamics of insect populations, particularly in agricultural settings. His work encompasses a wide range of topics, including the effects of different host plants on the life cycle and mortality patterns of insect pests like the diamondback moth. He investigates the intricate relationships between plants, insects, and parasitoids, exploring how factors like plant availability and habitat size influence population dynamics. Additionally, Mahmoud delves into the role of plant-insect interactions in greenhouse environments, studying phenomena such as insect feeding modes and plant interference. His research contributes significantly to understanding and managing insect pest populations in agricultural ecosystems.

Publications 

  1. Bottom-Up Effect of Different Host Plants on Plutella xylostella (Lepidoptera: Plutellidae): A Life-Table Study on Canola,Publication date: 2010.
  2. Inhibitory effects of cold atmospheric plasma on population growth of the carob moth, Ectomyelois ceratoniae (Lepidoptera: Pyralidae) in laboratory, Publication date: 2023.
  3. Does dose rate compensate low doses of gamma irradiation towards insect and mite pest sterilization?Publication date: 2023.
  4. Dynamics of Performances in a Competitive Model, Publication date: 2022.
  5. Finish line plant–insect interactions mediated by insect feeding mode and plant interference: a case study of Brassica interactions with diamondback moth and turnip aphidPublication date: 2017.
  6. Artificial Diversity of Plant–Insect Communities and Modern Crop Stoichiometry in Small Closed Patches in Greenhouse, Publication date: 2017.
  7. Effects of plant availability on population size and dynamics of an insect community: diamondback moth and two of its parasitoids, Publication date: 2014.
  8. Effects of plant availability and habitat size on the coexistence of two competing parasitoids in a tri-trophic food web of canola, diamondback moth and parasitic wasps, Publication date: 2012.
  9. Development and Age-Specific Mortality of Diamondback Moth on Brassica Host Plants: Pattern and Causes of Mortality Under Laboratory Conditions, Publication date: 2010.

 

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zhixuan wang | Laser Welding | Best Researcher Award

Mr. zhixuan wang | Laser Welding | Best Researcher Award

Student at Xi’an University of Architecture and Technology, China

Zhixuan Wang, hailing from China, is a driven student at Xi’an University of Architecture and Technology. His passion for exploring the intricacies of laser welding led him to delve into the mechanisms of crack formation and propagation in Mo-14Re alloy laser-welded joints. Through meticulous experimentation and analysis using advanced techniques such as optical microscopy and scanning electron microscopy, Zhixuan uncovered critical insights into the underlying factors contributing to welding defects.

Professional Profiles:

Scopus

Orcid

Researchgate

LinkedIn

Education

phd, Xi ‘an University of Architecture and Technology, Wenyi Road, Beilin District, Xi ‘an, Shaanxi, China

Achievements

His groundbreaking research not only sheds light on the complexities of laser welding but also offers practical solutions for mitigating defects and enhancing the application value of refractory metal alloys. Zhixuan’s exemplary work has earned him the prestigious Best Researcher Award, solidifying his position as a trailblazer in the field of materials science and engineering.

Research Interest

Laser Welding Optimization, Defect Suppression, Microstructural Analysis, Materials Engineering, Process Optimization for Aerospace Applications.

Research Focus:

Zhixuan Wang’s research focus lies in the field of power electronics and wireless power transfer systems. He specializes in the development and optimization of control strategies for various applications, including maximum power point tracking in omnidirectional wireless power transfer systems. Zhixuan has contributed significantly to research articles published in prestigious journals such as IEEE Transactions on Industrial Electronics and the Journal of Power Electronics. His expertise encompasses areas such as resonant driving schemes, matching network design, and modulation strategies for minimizing power losses in DC-DC converters. Zhixuan’s work demonstrates a commitment to advancing efficient and reliable power transfer technologies for diverse industrial and consumer applications.

Publications

  1. Variable frequency triple-phase-shift modulation strategy for minimizing RMS current in dual-active-bridge DC-DC converters, cited by: 6, Publication: 2021.
  2. Research on Maximum Power Point Tracking Control in Omnidirectional Wireless Power Transfer System, Publication: 2023.
  3. Resonant driving scheme for p-doped gallium nitride high electron mobility transistor to reduce driving power loss, Publication: 2023.
  4. Matching network design for input impedance optimization of four-coil magnetic resonance coupling wireless power transfer systems, cited by: 3, Publication: 2022.
  5. Correction to: Variable frequency triple‑phase‑shift modulation strategy for minimizing RMS current in dual‑active‑bridge DC‑DC converters,Publication: 2021.
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Weihua Li | Corrosion Control | Best Researcher Award

Prof. Weihua Li | Corrosion Control | Best Researcher Award

PHD at Ocean University of China, China

Prof. Dr. Weihua Li is an esteemed academic leader, serving as the Academic Vice Principal at North China University of Water Resources and Electric Power. With a Ph.D. in Marine Chemistry, she is a Level-2 distinguished professor and a renowned expert in corrosion protection and durability enhancement of infrastructure. Her pioneering research has led to breakthroughs in self-healing coatings and corrosion inhibition technologies, applied in major projects like the Hong Kong-Zhuhai-Macao Bridge. Prof. Li’s exceptional contributions, including over 230 academic papers and 80 patents, have earned her prestigious awards and recognition as a leading figure in marine engineering and corrosion science.

Professional Profiles:

Scopus

Googlescholar

Researchgate

LinkedIn

Education

Ph.D. in Marine Chemistry, Ocean University of China Master’s in Analytical Chemistry, Qingdao University of Science and Technology Bachelor’s in Industrial Analysis, Qingdao Institute of Chemical Technology

Professional Experience

Academic Vice President, North China University of Water Resources and Electric Power Chief Scientist, Institute of the Chemistry of Henan Academy of Sciences Dean, Distinguished Professor, School of Chemical Engineering and Technology, Sun Yat-sen University Visiting Scholar, Technische Universität München, University of Manchester

Major Academic Achievements

Pioneered the theory of “targeted corrosion inhibition” Developed innovative techniques applied in significant infrastructure projects Published 8 monographs and over 230 academic papers Obtained 80 authorized national invention patents and contributed to industrial standards:

Awards & Honors

Recognized by national and provincial awards for outstanding scientific contributions and innovation leadership

Main Research Interests

Corrosion mechanism and theoretical innovation Durability of reinforced concrete structure Self-healing coating and theoretical innovation Corrosion inhibition technology and theoretical innovation Photocathodic protection and theoretical innovation

Research Focus:

Based on the provided publications, Dr. Weihua Li’s research focus primarily revolves around the development and application of advanced machine learning and deep learning techniques for fault diagnosis and condition monitoring of mechanical systems, particularly in the domain of rotary machinery. Her work spans various areas such as multisensor feature fusion, deep transfer learning, state-of-charge estimation of lithium-ion batteries, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and adversarial transfer networks. Dr. Li’s contributions significantly advance the field of intelligent fault diagnosis by addressing challenges in feature extraction, domain adaptation, and compound fault diagnosis, ultimately enhancing the reliability and efficiency of machinery health monitoring systems.

Publications

  1. A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges, cited by: 385, Publication: 2022.
  2. A deep learning method for bearing fault diagnosis based on cyclic spectral coherence and convolutional neural networks, cited by: 334, Publication: 2020.
  3. State-of-charge estimation of lithium-ion batteries using LSTM and UKF, cited by: 256, Publication: 2020.
  4. Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery, cited by: 190, Publication: 2020.
  5. A two-stage transfer adversarial network for intelligent fault diagnosis of rotating machinery with multiple new faults, cited by: 136, Publication: 2020.
  6. Deep semisupervised domain generalization network for rotary machinery fault diagnosis under variable speed, cited by: 135, Publication: 2020.
  7. A novel weighted adversarial transfer network for partial domain fault diagnosis of machinerycited by: 123, Publication: 2020.
  8. Deep adversarial capsule network for compound fault diagnosis of machinery toward multidomain generalization task, cited by: 121, Publication: 2020.
  9. A deep adversarial transfer learning network for machinery emerging fault detectioncited by: 96, Publication: 2020.
  10. A robust weight-shared capsule network for intelligent machinery fault diagnosis, cited by: 96, Publication: 2020.
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Francesca Riuzzi | Experimental models | Best Paper Award

Assoc Prof Dr. Francesca Riuzzi | Experimental models | Best Paper Award

PHD at University of Perugia, Italy

Francesca Riuzzi, born on May 27, 1977, in Città di Castello (PG, Italy), is an Associate Professor of Human Anatomy at the University of Perugia (UniPG). With a Ph.D. in Biology and Experimental Medicine from UniPG, she’s recognized for her expertise in muscle physiology and pathology. Riuzzi has authored numerous publications and holds administrative roles, including delegate for the Third Mission at the Department of Medicine and Surgery. Her research focuses on the role of RAGE and its ligands in muscle biology, with a keen interest in herbal remedies for muscle disorders. Riuzzi is also actively involved in teaching and supervising students and fellows at UniPG.

Professional Profiles:

Scopus

Orcid

Googlescholar

Researchgate

Education

Ph.D. in Biology and Experimental Medicine, UniPG Professional Biologist, UniPG Bachelor’s Degree in Biological Sciences (Summa cum laude), UniPG

Professional Experience

Associate Professor of Human Anatomy, UniPG (2015-present) Laboratory Supervisor of Anatomy Section, UniPG (2008-2015) PhD student in Biology and Experimental Medicine, UniPG (2003-2007) Recipient of a fellowship for research project at UniPG (2003) Continuous involvement in research projects since 2002

Awards

Young Researchers Award for Best Publication in Medical Area, UniPG (2019)

Main Scientific Interests

Role of RAGE and its ligands in myogenesis, muscle regeneration, and pathologies Use of herbal drugs to counteract muscle atrophy Application of microencapsulated Sertoli cells in muscular dystrophy models

Research Focus:

Francesca Riuzzi’s research primarily focuses on the functions of S100 proteins, particularly S100B, in various physiological and pathological contexts. Her work explores the dual roles of S100B as both an intracellular regulator and an extracellular signaling molecule, elucidating its involvement in tissue homeostasis, repair, and regeneration. Riuzzi investigates the interaction of S100B with its receptor RAGE (receptor for advanced glycation end products), uncovering its implications in muscle biology, including myogenesis, proliferation, apoptosis, migration, and invasiveness. Her research contributes to understanding the molecular mechanisms underlying skeletal muscle pathologies and potential therapeutic targets for conditions like cancer cachexia and sarcopenia.

Publications

  1. Targeting RAGE prevents muscle wasting and prolongs survival in cancer cachexia, cited by: 76, Publication: 2020.
  2. Optimizing therapeutic outcomes of immune checkpoint blockade by a microbial tryptophan metabolite, cited by: 47, Publication: 2022.
  3. S100 proteins in obesity: liaisons dangereuses, cited by: 43, Publication: 2020.
  4. Targeting RAGE to prevent SARS-CoV-2-mediated multiple organ failure: Hypotheses and perspectives, cited by: 37, Publication: 2021.
  5. Reductive stress in striated muscle cells, cited by: 36, Publication: 2020.
  6. Hyperactivated RAGE in comorbidities as a risk factor for severe COVID-19—The role of RAGE-Ras crosstalk, cited by: 30, Publication: 2021
  7. Identification of Withania somnifera-Silybum marianum-Trigonella foenum-graecum Formulation as a Nutritional Supplement to Contrast Muscle Atrophy and …, cited by: 12, Publication: 2020.
  8. KYMASIN UP natural product inhibits osteoclastogenesis and improves osteoblast activity by modulating Src and p38 MAPK, cited by: 4, Publication: 2022.
  9. Sertoli cells improve myogenic differentiation, reduce fibrogenic markers, and induce utrophin expression in human DMD myoblasts, Publication: 2021
  10. Microencapsulated Sertoli cells sustain myoblast proliferation without affecting the myogenic potential. In vitro data, Publication: 2022.
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