Yanrong Zhang | Civil Engineering | Best Researcher Award

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Prof. Yanrong Zhang | Civil Engineering | Best Researcher Award

PHD at Tsinghua University, China

Zhang Yanrong is a Professor at the Department of Civil Engineering, Beijing Jiaotong University. She earned her Ph.D. in Civil Engineering from Tsinghua University and a Bachelor’s in Material Science and Engineering from China University of Geosciences. Her research focuses on the rheology of fresh cementitious mixtures, polymer-cement composites, and fiber-enhanced materials. Zhang has received multiple prestigious awards, including the First Class Prize of the State Science and Technology Award. She has led significant research projects on cement-based materials and authored the book Microstructure and Rheological Properties of Cement-Chemical Admixtures-Water Dispersion System at Early Stage.

Professional Profiles

Educational Background

Ph.D. in Civil Engineering (2009/09-2015/01), Department of Civil Engineering, Tsinghua University. Bachelor of Material Science and Engineering (2005/09-2009/07), Department of Material Science and Engineering, China University of Geosciences.

Professional Experience

Professor (2023/12-present), Department of Civil Engineering, Beijing Jiaotong University. Associate Professor (2017/01-2023/12), Department of Civil Engineering, Beijing Jiaotong University. Lecturer (2015/01-2017/12), Department of Civil Engineering, Beijing Jiaotong University.

Research Interests

Rheology of fresh cementitious mixtures Chemical/polymer admixtures for sustainability of cement and concrete industry Polymer-Cement Composites Fiber Enhanced Cementitious Materials Simulations on Novel Materials and Structures

Honors and Awards

2017 The First Class Prize of State Science and Technology Award, the State Council of China 2019 The Special Class Prize of Science and Technology Award, China Railway Society 2022 The First Prize of the Excellent Achievement Award (Science and Technology) for Scientific Research in Higher Education Institutions of the Ministry of Education 2022 The First Prize of the Science and Technology Award of the China Transportation Association 2018, 2021, 2022 The Second Class Prizes of the Scientific and Technological Progress Award, Chinese Ceramic Society 2016 Second Class Prize of the Scientific and Technological Progress Award (Fundamental Research), Architectural Society of China

Academic Achievements

Zhang Yanrong. Microstructure and Rheological Properties of Cement-Chemical Admixtures-Water Dispersion System at Early Stage, 2017, Springer Singapore.

Research Focus

Yanrong Zhang focuses on advanced photonics, specifically in the area of non-Hermitian physics and exceptional points within optical systems. Her research explores phenomena such as parity-time symmetry, optical resonances, and metamaterials. Zhang has contributed to understanding high-order exceptional points in Moire lattices, exceptional singular resonances in gain-mediated metamaterials, and optical behaviors in parity-time symmetric systems. Her work also includes applications in molecular detection and protein sensing using engineered photonic crystals. Her research combines theoretical and experimental approaches to develop innovative solutions in photonics and metamaterials, enhancing the sensitivity and functionality of optical devices.

Publications

  1. Protein sensing using deep subwavelength-engineered photonic crystals, cited by 1, Publication date: 2024.
  3. Optical resonance in inhomogeneous parity-time symmetric systems, Publication date: 2021.
  4. Multiple exceptional points in bulk parity-time symmetric optical media, Publication date: 2020.
  5. High-order exceptional points in non-Hermitian Moire lattices, Publication date: 2019.
  6. Exceptional singular resonance in gain mediated metamaterials, Publication date: 2019.
  7. Nonreciprocal parity-time phase in magnetized waveguides, Publication date: 2019.
  8. Anomalous amplified and bound-state-like optical transmissions via unidirectional interaction in parity-time symmetric metamaterials, Publication date: 2018.
  9. Parity-time symmetry in periodically curved optical waveguides, Publication date: 2018.
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Bohdan Padlyak | Physical Optics | Best Researcher Award

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Prof Dr. Bohdan Padlyak | Physical Optics | Best Researcher Award

PHD at Ivan Franko University of Lviv, Iran

Bohdan Volodymyrovych Padlyak, born on February 26, 1956, is a leading physicist at the Vlokh Institute of Physical Optics. He holds a Doctorate in Physical and Mathematical Sciences. He studied Physics and Physics of Semiconductors at Ivan Franko University of Lviv and has extensive experience in solid state physics and optics. His research focuses on the structure and properties of ordered and disordered materials, as well as paramagnetic and luminescence centers in solids. He has held various academic and research positions in Ukraine and Poland, contributing significantly to the field of spectroscopy and radiation-induced defects.

Professional Profiles

Educational Background

1973 – 1978: Studied at Ivan Franko University of Lviv, Department of Physics (Specialities: Physics and Physics of Semiconductors) 1989: Defense of the candidate’s (PhD) dissertation titled: “Paramagnetic Centers and Isomorphism Peculiarities of the Impurity 3dn-Ions in Calcium-Gallium-Germanium Garnet (CGGG) Crystals” (Speciality: Solid State Physics) 2007: Defense of the doctor’s (habilitation) dissertation titled: “Spectroscopy and Structure of the Luminescence Centres and Radiation-Induced Defects in the Glasses of СaO-Ga2O3-GeO2 System” (Speciality: Optics and Laser Physics)

Professional Experience

1979 – 1980: Engineer at the Radio Technical Scientific Research Institute (Lviv, Ukraine) 1980 – 1999: Junior Scientific Researcher, Scientific Researcher, Senior Scientific Researcher at Ivan Franko University of Lviv, Department of Physics (Lviv, Ukraine) March 1995 – August 1995 and October 1996 – January 1997: Invited Researcher in the Chair and Division of Biophysics of the Medical Academy of Bydgoszcz (Bydgoszcz, Poland) 1999, 2000, 2001: Associate Professor and Invited Researcher at the Institute of Experimental Physics of Gdansk University (Gdansk, Poland) September 2003 – January 2004: Scientific Editor at the Scientific Consulting Company “Structure – Properties Ltd.” (Lviv, Ukraine) 2002 – 2007: Associate Professor at the Institute of Physics of Kazimierz Wielki University of Bydgoszcz (Bydgoszcz, Poland) 2004 – 2007: Senior Scientific Researcher at the Vlokh Institute of Physical Optics, Ministry of Education and Science of Ukraine (Lviv, Ukraine) Since 2008: Head of the Spectroscopy Group (Sector), Leading Scientific Researcher at the Vlokh Institute of Physical Optics, Ministry of Education and Science of Ukraine (Lviv, Ukraine)

Scientific Interests

Structure, magnetic and optical properties of ordered (crystals, crystalline nanoparticles) and disordered (glasses, compositionally-disordered crystals, solid crystalline solutions, nanocomposite materials) materials. Physics of paramagnetic and luminescence centres in solids, including electron paramagnetic resonance (EPR) and optical spectroscopy of impurity transition and rare-earth ions, as well as intrinsic and radiation-induced defects in oxide compounds with ordered and disordered structures.

Research Focus

Bohdan Volodymyrovych Padlyak specializes in the study of spectroscopic properties and luminescence of various doped glass materials. His research primarily focuses on the impact of different co-dopants, such as silver, manganese, and europium, on the luminescence of lithium tetraborate and other glass systems. He investigates the local structure, magnetic and optical properties, and photoluminescence of materials like Pb-containing germanate and silicate oxyfluoride glasses. His work also extends to the study of paramagnetic centers and intrinsic defects in these materials, contributing significantly to advancements in solid-state physics and optics.

Publications

  1. Spectroscopic properties and intrinsic photoluminescence of the un-doped lead borate glasses, cited by 13, Publication date: 2021.
  3. Local structure, spectroscopic properties and intrinsic photoluminescence of the un-doped lead-containing glasses of different composition, cited by 11, Publication date: 2022.
  4. Spectroscopy and photoluminescence of complex lead-silicate glass doped with copper, cited by 7, Publication date: 2023.
  5. Structural features and optical-luminescent properties of the Pb-containing germanate and silicate oxyfluoride glasses, cited by 6, Publication date: 2023.
  6. Optical spectroscopy of the PbI2 single crystals doped with Fe, Ni, and Mn, Publication date: 2023.
  7. Local structure, spectroscopy and luminescence of the Li2B4O7:Cu,Eu glass, cited by 4, Publication date: 2023.
  8. Spectroscopic properties and photoluminescence of the Li2B4O7:Mn,Sm glass, Publication date: 2024.
  9. Spectroscopic properties and luminescence of the lithium tetraborate glasses co-doped with manganese and europium,  Publication date: 2024.
  10. Influence of Ag co-activation on the Dy3+ luminescence in lithium tetraborate glasses, Publication date: 2024.
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Pavan Kumar Gudise | Materials Science | Best Researcher Award

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Dr. Pavan Kumar Gudise | Materials Science | Best Researcher Award

PHD at Andhra University, India

Dr. G. Pavan Kumar is an Assistant Professor in the Department of Physics at St. Joseph’s College for Women, Visakhapatnam. He holds a Ph.D. in Physics from Andhra University, where his research focused on acoustical and thermodynamic studies of liquid mixtures. With a strong background in nano-magnetic particles for medical applications, materials science, and underwater acoustical studies, Dr. Kumar has published work and conducted significant research in these areas. He has also contributed to teaching and laboratory instruction, earning recognition through various scholarships and awards. His expertise extends to operating advanced scientific instruments and utilizing computational software for research.

Professional Profiles

  • Scopus
  • Orcid
  • Googlescholar
  • Researchgate
  • LinkedIn

Educational Background

2018: Diploma in Theater of Arts in Direction Course, Andhra University, Visakhapatnam – 7 CGPA 2015: Ph.D. (Physics), Andhra University, Visakhapatnam 2007: M.Sc. (Physics), P. B. Siddartha P.G. Center, Vijayawada, Andhra Pradesh – 65.15% 2005: B.Sc. (Physics, Mathematics, and Chemistry), P.B. Siddartha Arts and Science College, Vijayawada, Andhra Pradesh – 62.52% 2000: Intermediate (Physics, Mathematics, and Chemistry), Sri Aravindha Junior College, Vijayawada, Andhra Pradesh – 54.4% 1997: SSC, St. Xavier’s (T.M) High School, Eluru, Andhra Pradesh – 60.15%

Research Experience

Project Assistant: DST Purse Programme Laboratory, Andhra University, Visakhapatnam, India Synthesized samples for biomedical applications in life sciences and engineering streams Current research focuses on comparing nanomaterials studies with computational studies using various software programs

Teaching Experience

Lecturer: Govt. Degree College, Jaggampet, East Godavari (Dt), Andhra Pradesh, India (2008-2010) Lab Instructor: Conducting Lab for Electronics to M.Sc. Students, Department of Physics, Andhra University (2011-2014) Assistant Professor: Department of Physics, St. Joseph’s College for Women (A), Visakhapatnam (Present)

Present Work

Prepared nano ferrite magnetic materials and multi-ferric materials for biomedical applications Prepared Lithium Cobalt nano battery materials Prepared some transition metal ion substituted nano ferroelectric materials (PZT, BaTiO3) via different chemical methods

Areas of Research

Nano-Magnetic Particles for Medical Applications Materials Science Underwater Acoustical Studies

Research Focus

 

Publications

  1. Benchmark of deep learning models for single image super-resolution (SISR), Publication date: 2022.
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Omar Soufi | Artificial Intelligence | Best Researcher Award

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Dr. Omar Soufi | Artificial Intelligence | Best Researcher Award

PHD at Ehime University in Japan

Dr. Omar Soufi, né le 13 mai 1993 à Casablanca, est un expert en data science, télédétection spatiale et systèmes d’information géographique. Titulaire d’un doctorat en génie informatique de l’EMI Rabat, ses recherches se concentrent sur l’intelligence artificielle et le deep learning pour améliorer la qualité des images satellites. Avec une expérience notable dans des projets de Business Intelligence et d’applications SIG, il est polyglotte, parlant couramment arabe, français, anglais et espagnol. Dr. Soufi détient plusieurs certifications professionnelles en IA, machine learning et data analytics, renforçant son rôle clé dans l’innovation technologique et la gestion des données.

Professional Profiles

Academic Background

2023 : Doctorat – EMI Rabat Cycle doctoral à l’équipe AMIPS/E3S Option: Génie Informatique : Intelligence Artificielle Sujet: Approche par Deep Learning au profit de la télédétection spatiale : Amélioration de la qualité d’images satellites et du procédé du capteur d’étoile. 2020 : Ingénierie – Polytechnique Grenoble, ENSIMAG 3ème année cycle ingénieur Option: Ingénierie des Systèmes d’Information 2020 : Ingénierie – EMI Rabat Cycle ingénieur en Informatique Option: Ingénierie et Qualité Logicielle 2015 : Diplôme – ARM Merkens Diplôme des Études Universitaires 2014 : Licence Fondamentale – ARM Merkens Option: Sciences et Techniques Filière: Génie Mécanique 2011 : Baccalauréat – 1er LMR Option: Sciences de Vie et de Terre

Expériences Professionnelles

Chargé des missions d’Intelligence Artificielle (2024) Participation à plusieurs projets en intelligence artificielle et data science pour l’analyse et la gestion des données. Chef Pôle Géomatique & Outils décisionnels (2022) Développement d’applications SIG thématiques pour des domaines tels que l’urbanisme, l’environnement, et l’agriculture. Chef département BI & Outils décisionnels (2020) Conception et implémentation de projets de Business Intelligence et de plateformes géospatiales pour la gestion des risques des catastrophes naturelles et d’autres applications stratégiques.

Areas of Research

Data Science Télédétection Spatiale Systèmes d’Information Géographique (SIG)

Research Focus

Dr. Omar Soufi’s research focuses on the application of deep learning techniques to image processing, specifically in the field of Single Image Super-Resolution (SISR). His work involves developing and benchmarking advanced deep learning models to enhance the resolution and quality of satellite imagery. Key publications include studies on novel super-resolution approaches for multispectral satellite images and intelligent methods for spacecraft attitude control. His research contributes to improving the accessibility and analysis of high-resolution satellite imagery, which has significant implications for remote sensing, environmental monitoring, and geospatial applications. Dr. Soufi’s expertise lies at the intersection of artificial intelligence and remote sensing technologies.

Publications

  1. Benchmark of deep learning models for single image super-resolution (SISR), Publication date: 2022.
  2. Study of Deep Learning-based models for Single Image Super-Resolution. Publication date: 2022.
  3. Deep learning technique for image satellite processing, Publication date: 2023.
  4. Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach, Publication date: 2023.
  5. Analysis and Processing of Spatial Remote Sensing Multispectral Imagery using Deep Learning Techniques, Publication date: 2023.
  6. An intelligent deep learning approach to spacecraft attitude control: the case of satellites, Publication date: 2024.
  7. A Novel Deep Learning-Based Super-Resolution Approach, Publication date: 2023.
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Li Chen | Food Sciences | Best Researcher Award

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Dr. Li Chen | Food Sciences | Best Researcher Award

PHD at Ehime University in Japan

Li Chen is a Lecturer/Assistant Professor at Shaanxi Normal University and the Institute of Genetics and Animal Biotechnology at the Polish Academy of Sciences. With a PhD from Ehime University, Japan, Li’s research focuses on fermented dairy products at the molecular level. Li has published over 43 peer-reviewed articles in high-impact journals and secured several prestigious fellowships, including the Marie Skłodowska-Curie COFUND and Humboldt Fellowship for Experienced Researchers. Notably, Li has elucidated the proteolytic system of Lactic acid bacteria in fermented milk and identified key regulatory genes, significantly advancing the field of Dairy Science.

Professional Profiles

Academic and Professional Background

Li Chen completed a PhD at Ehime University in Japan. Currently, Li works at both Shaanxi Normal University and the Institute of Genetics and Animal Biotechnology at the Polish Academy of Sciences. Li’s scientific interests focus on fermented dairy products at the molecular level. With 43 peer-reviewed articles published in high-impact journals and several fellowships awarded, Li Chen is a recognized expert in Dairy Science.

Research and Innovations

Li Chen’s research is centered on milk protein modification and the molecular mechanisms of fermented products. Recently, Li depicted the proteolytic system mechanism of Lactic acid bacteria in fermented milk and identified key genes in the functional regulation of these products.:

Areas of Research

Food Sciences

Research Focus

Li Chen’s research primarily focuses on the molecular and functional properties of fermented dairy and plant-based products. In particular, the untargeted metabolomics analysis of probiotic jujube juice reveals its potential anti-obesity effects on high-fat-diet-induced obese mice. Additionally, Li investigates the ACE inhibitory activity, antioxidant capacity, phenolics composition, chemical properties, and sensory evaluation of fermented pomegranate juice. Furthermore, her work on microproteomics analyzes the goat milk protein synthesis network and evaluates casein production. These studies underscore her commitment to understanding the health benefits and molecular mechanisms underlying fermented foods and their bioactive components.

Publications

  1. Plant-Derived l-Theanine for Ultraviolet/Ozone Resistant Perovskite Photovoltaics, Publication date: 2022.
  2. Health potential of fermented goat dairy products: composition comparison with fermented cow milk, probiotics selection, health benefits and mechanisms, Publication date: 2023.
  3. Effects of Pomegranate Peel Polyphenols Combined with Inulin on Gut Microbiota and Serum Metabolites of High-Fat-Induced Obesity Rats. Publication date: 2023.
  4. Therapeutic effect of Lactobacillus plantarum JS19 on mice with dextran sulfate sodium induced acute and chronic ulcerative colitis, Publication date: 2022.
  5. Purification and Identification of EPS Produced by Five Lactic Acid Bacteria and Evaluation of Their Effects on the Texture of Fermented Goat Milk, Publication date: 2023.
  6. Preliminary Study on Screening and Genetic Characterization of Lactic Acid Bacteria Strains with Cadmium, Lead, and Chromium Removal Potentials, Publication date: 2024.
  7. Microproteomic-Based Analysis of the Goat Milk Protein Synthesis Network and Casein Production Evaluation, Publication date: 2024.
  8. Untargeted metabolomics analysis of probiotic jujube juice and its anti-obesity effects on high-fat-diet-induced obese mice, Publication date: 2024.
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Abdelouahid Seidi | Physics | Best Researcher Award

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Dr. Abdelouahid Seidi | Physics | Best Researcher Award

PHD at University moulay ismail, Morocco

Abdelouahed Seidi holds a Master’s degree in Materials and Applications for Solar Energy from Université Moulay Ismaïl, following his Licence in Science de la Matière Physique and a DEUG in Sciences de la Matière Physique Chimie. Professionally, he has experience in electrical security and photovoltaic solar panel installation at FaslaElec and has been teaching in various support centers in Meknès and Fès since 2020. He is proficient in AutoCAD, SketchUp, Word, PPT, Excel, MATLAB, PYTHON, and LATEX, and is fluent in English and French. He holds driving licenses for categories “B” and “C”.

Professional Profiles

  • Scopus
  • Googlescholar
  • Researchgate
  • LinkedIn

Education

University moulay ismail

Professional Experience

Stage en laboratoire de chimie: Étude des propriétés physico-chimiques des céramiques naturelles et polymères 2015: Permis de conduire catégories “B” et “C” 2015: Cinq mois de travail chez FaslaElec en sécurité électrique et installation de panneaux solaires photovoltaïques Depuis 2020: Enseignant dans divers centres de soutien à Meknès et à Fès

Publications

  1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior, Publication date: 2024.
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Senthamarai R | Electrochemical Processes | Best Researcher Award

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Dr. Senthamarai R | Electrochemical Processes | Best Researcher Award

PHD at SRM Institute of Science and Technolog, India

Dr. R. Senthamarai is an Associate Professor in the Department of Mathematics at SRM Institute of Science and Technology, Tamilnadu, India. Her research spans Mathematical Modeling, Mathematical Analysis, Non-Linear Ordinary and Partial Differential Equations, Approximation Techniques, and Numerical Methods. She has an H-index of 8 and an average impact factor of 3.366. A life member of ISTE, IAENG, and ISCA, she is also a reviewer for the Journal of New Theory. Currently, she is working on a project funded by SRM-SERI, focusing on the dynamics of Rugose Spiraling Whitefly affecting coconut trees.

Professional Profiles

Education

SRM Institute of Science and Technology | SRM · Department of Mathematics Doctor of Philosophy

Professional Experience

Associate Professor, Department of Mathematics SRM Institute of Science and Technology,

Research Interests

Mathematical Modeling Mathematical Analysis Non-Linear Ordinary and Partial Differential Equations Approximation Techniques and Numerical Methods Qualitative Analysis

Project

Project Title: Mathematical Modeling and Analysis on the Dynamics of Rugose Spiraling Whitefly Affecting Coconut Trees Scheme: SRM-SERI (Seed Grant under Selective Excellence Research Initiative 2023-2024) Duration: 2 Years (Sep 2023 – Sep 2025)

Research Focus

Dr. R. Senthamarai’s research focuses on mathematical modeling, particularly in the fields of electrochemical processes, reaction-diffusion systems, and biosensor kinetics. Her work includes studies on diffusion-limited currents, reaction diffusion processes, and the mathematical modeling of epidemics and ecological systems. She employs analytical and numerical techniques, such as homotopy perturbation methods, to solve complex non-linear equations. Her research also extends to predator-prey dynamics and enzyme kinetics, contributing to both theoretical advancements and practical applications in mathematical chemistry and biology. Dr. Senthamarai’s diverse research outputs demonstrate her expertise in applying mathematical approaches to interdisciplinary scientific problems.

Publications

  1. Mathematical analysis on novel coronavirus model using HPM, Publication date: 2024.
  2. A kinetic non-steady state analysis of immobilized enzyme systems with external mass transfer resistance, Publication date: 2024.
  3. An amperometric biosensor and its steady state current in the case of substrate and product inhibition: Taylors series method and Adomian decomposition method. Publication date: 2023.
  4. Batch reactor performance for the enzymatic synthesis of cephalexin: Some approximate analytical approach for ADCA and PGME, Publication date: 2023.
  5. A New Approximate Analytical Expression of Non-Isothermal Diffusion Model, Publication date: 2023.
  6. A study on the dynamics of pest population with biocontrol using predator, parasite in presence of awareness, Publication date: 2022.
  7. A Nonlinear Prey-Predator Model with Holling Type III Functional Response: An Analytical Approach with Stability and Sensitivity Analyses., Publication date: 2022.
  8. Impact of Awareness on the Dynamics of Pest Control in Coconut Trees-A Mathematical Model.
    Publication date: 2022.
  9. Analytical approximation of a nonlinear model for pest control in coconut trees by the homotopy analysis method, Publication date: 2022.
  10. Reaction and Kinetics Studies of Immobilized Enzyme Systems: PartII With External Mass Transfer Resistance, Publication date: 2022.
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Rajender Kumar | Global Energy Awards| Best Researcher Award

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Assoc Prof Dr. Rajender Kumar | Global Energy Awards| Best Researcher Award

PHD at NIT Hamirpur, India

Dr. Rajender Kumar, an esteemed physicist, serves as an Associate Professor in the Department of Physics at Career Point University, Hamirpur (HP). Born on June 17, 1976, in Hamirpur, India, he holds a Ph.D. from NIT Hamirpur. With 16 years of teaching experience, his academic journey includes notable positions at M.G.I.E.T. Mandi and G.G.C. Hamirpur. Dr. Kumar’s research focuses on metal/semiconductor heterojunctions, evidenced by his M.Phil. and Ph.D. theses. He is an editorial board member of the Journal of Applied Nanotechnology and fulfills significant administrative roles at Career Point University.

Professional Profiles

  • Scopus
  • Googlescholar
  • Researchgate
  • LinkedIn

Academic Qualifications

Matric HPBSE Dharamshala 1992 471 700 67.23% 10+2 HPBSE Dharamshala 1995 220 400 55.00% B.Sc. (N.M) H.P.U.Shimla 1999 951 1700 55.94% B.Ed University of Kashmir 2001 600 900 66.67% M.Sc.(Physics) University of Kashmir 2002 732 1200 61.00% M.Phil (Physics) VMU Salem, Tamilnadu 2008 276 400 69.00% Ph.D (Physics) NIT Hamirpur May 2016. Qualified Combined Screening Board (CSB)-2004 for PGT – PHYSICS Theses M.Phil. Thesis: Study of decay constant, half-life, and branching ratio in alpha and cluster decay. Ph.D. Thesis: Fabrication and Characterization of Metal/Zinc Oxide/Silicon and Metal/Silicon heterojunctions.

Experience

M.G.I.E.T. Mandi Lecturer (Physics) 17-06-2007 to 03-09-2008 1 Yr. 2 M 2 G.G.C. Hamirpur Lecturer (Physics) 04-09-2008 to 27-06-2010 1 Yr. 9 M 3 N.I.T. Hamirpur Teaching Assistantship 01-07-2010 to 31-07-2014 4 Yrs. 1 M 4 G.G.C. Hamirpur Assistant Professor Physics 19-08-2014 to 16-04-2017 2 Yrs. 8 M 5 Career Point University Hamirpur Assistant Professor Physics 17-04-2017 to 27-08-2020 3 Yrs. 4 M 6 Career Point University Hamirpur Associate Professor Physics 28-08-2020 to Till Date 3 Yrs. 2 M

Present Position

Associate Professor, Department of Physics, Career Point University, Hamirpur (HP) Additional Duties: Associate Dean Students Welfare Officer on Special Duty (OSD) to Vice Chancellor Other additional duties are mentioned in the experience certificate.

Publications

  1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior, Publication date: 2024.
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Elaheh Yaghoubi | Global Energy Awards| Best Researcher Award

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Dr. Elaheh Yaghoubi | Global Energy Awards| Best Researcher Award

PHD at Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power control in smart grids, model predictive control, and renewable energy. She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, also with a GPA of 4.0. Elaheh has extensive experience in quality control, having served as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is skilled in web design and programming and is actively involved in the PEDAR research group.

Professional Profiles

Education

Ph.D. Candidate in Electronic and Electrical Engineering Karabuk University, Turkey (2021-Present) GPA: 4.0/4.0 Thesis: Optimal power control of grid-connected distributed generation in a hierarchical framework based on Model Predictive Control Master of Science in Electrical Engineering Islamic Azad University, Qaemshahr, Mazandaran, Iran (2016-2018) GPA: 4.0/4.0 Thesis: Provide a routing algorithm for the proposed topology for a grid on a large-scale chip to detect an error Bachelor of Science in Electrical Engineering Aryan Institute of Science and Technology University, Iran (2012-2014) GPA: 4.0/4.0 Associate’s Degree in Electrical Engineering University College of Rouzbahan, Iran (2010-2012) GPA: 3.5/4.0

Professional Experience

Principal Researcher PEDAR Group, Remote (2023-Present) Investigation, teaching, and designing in power electrical engineering. Website Designer WebCore Company, Mazandaran, Iran (2019-2021) Designed front-end with HTML, CSS, JavaScript; back-end with PHP, Laravel. Senior Manager Rico Electronics Company, Mazandaran, Iran (2018-2019) Oversaw product quality assurance, ensuring compliance with industry standards, and implemented design modifications. Senior Manager Kati Kabl Tabarestan Factory, Mazandaran, Iran (2015-2018) Managed quality assurance for wire and cable products, proficient in troubleshooting and resolving technical issues.

Research Interests

Power System Analysis, Power System Stability, Power Management Microgrid and Smart Grids Renewable Energies Model Predictive Controllers (MPC) Artificial Neural Networks, Machine Learning, Deep Learning Plasmonic, Nano-Electronic Devices

Awards and Honors

1st Rank among M.Sc. students of Electronics, Islamic Azad University, Qaemshahr, Mazandaran, Iran (2018) 1st Rank among B.Sc. students of Electronics, Aryan Institute of Science and Technology University, Babol, Mazandaran, Iran

Publications

  1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior, Publication date: 2024.
  2. A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering, Publication date: 2024.
  3. Electric vehicles in China, Europe, and the United States: Current trend and market comparison, Publication date: 2024.
  4. The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems, Publication date: 2023.
  5. Reducing the vulnerability in microgrid power systems, Publication date: 2023.
  6. Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller, Publication date: 2023.
  7. Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station, Publication date: 2022.
  8. Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide, Publication date: 2022.
  9. Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide, Publication date: 2021.
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Geetanjali Mishra | Materials Technology | Best Researcher Award

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Dr. Geetanjali Mishra | Materials Technology | Best Researcher Award

PHD at CSIR-Institute of Minerals & Materials Technology, India

Dr. Geetanjali Mishra is a Research Officer at The Bombay Textile Research Association, Mumbai. She earned her Ph.D. in Chemical Sciences from CSIR-Institute of Minerals & Materials Technology, specializing in antimicrobial composites. With extensive post-doctoral research at IIT Bombay and IACS, she has worked on biodegradable polymeric composites and water purification methods. Dr. Mishra has published widely and holds a patent for antimicrobial layered double hydroxides. She has received several awards, including a gold medal for her B.Sc. in Chemistry from Utkal University. Her research interests include inorganic-organic composites, bio-organic chemistry, and hydrometallurgical processing.

Professional Profiles

Education and Academic Degrees

2006 – 2009: Bachelor of Science in Chemistry (Honours), Utkal University, India (1st Rank) 2009 – 2011: Master of Science (Chemistry), Ravenshaw University, India (6th Rank) 2013 – 2018: Ph.D. in Chemical Sciences, AcSIR, CSIR-Institute of Minerals & Materials Technology, India Thesis Title: Synthesis of layered double hydroxide inorganic and organic composites and their antimicrobial activity Supervisor: Dr. Barsha Dash, Principal Scientist, Hydro & Electrometallurgy Department, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India

Professional Research Experience

The Bombay Textile Research Association, India Sept. 2023 – Present: Research Officer Preparation of Lyocell-CNT composite high-strength carbon fiber Preparation of lyocell fibers and effect of incorporation of single-walled carbon nanotube on the properties of fibers. Indian Institute of Technology Bombay (IITB), India Jan. 2020 – Dec. 2022: Post-Doctoral Fellow, Department of Metallurgical Engineering & Materials Science Synthesis of biodegradable polymeric composites for packaging applications Synthesis of polycaprolactone (PCL) based polymeric composites with the incorporation of various fillers (like layered double hydroxides (LDH), carbonaceous materials, etc.) to act as packaging material. Indian Association for the Cultivation of Science (IACS), India Feb. 2018 – Dec. 2019: Research Associate (I), Department of Materials Science Synthetic mineralization by simple, cost-effective way for permanent removal of toxic contaminants from water. Removal of As3+ along with Fe3+ from industrial wastewater/acid mine drainage by precipitation method using simple salts. The process works by the coagulation-flocculation method. CSIR-Institute of Minerals & Materials Technology (IMMT), India Aug. 2013 – Feb. 2018: PhD Scholar, Department of Hydro & Electrometallurgy Synthesis of layered double hydroxide inorganic and organic composites and their antimicrobial activity Synthesis of layered double hydroxide based inorganic and organic composites by various routes like coprecipitation, ion-exchange, reconstruction, hydrothermal, etc. followed by their characterization and application as antimicrobial material.

Areas of Research

Inorganic-Organic composites Inorganic chemistry Bio-Organic Chemistry Various hydrometallurgical processing especially in the development of flow-sheet to recover non-ferrous metals from polymetallic nodules (PMN), low-grade ores, and secondaries through: Leaching Removal of iron Precipitation

Awards & Recognitions

2015: Awarded 2nd prize in oral presentation in ICNFM-2015 conference, Bhubaneswar, India.
2011: Sixth rank in M.Sc. (Chemistry), Ravenshaw University.
2009: Gold Medal in B.Sc. (Chemistry) for best science graduate, Utkal University.
2003: Awarded Rajya Puraskar (Governor Award) in Scouts & Guides.

Patent

A process for the preparation of thermally treated composite of Zn-Al layered double hydroxide having antibacterial activity. Barsha Dash, Sony Pandey, Geetanjali Mishra. CSIR patent number- 349714, Application Number: 2893/DEL/2013, Date of Grant: 21/10/2020.

Publications

  1. Impact of surfactants on SWCNT dispersion in N-methylmorpholine N-Oxide for cellulose dissolution, Publication date: 2024.
  2. Biodegradable layered double hydroxide based polymeric films for sustainable food packaging applications, Publication date: 2023.
  3. Curious Behavior of Fe3+-As3+ Chemical Interactions and Nucleation of Clusters in Aqueous Medium, Publication date: 2023.
  4. A Review on Corrosion, Adhesion, and Anti-Microbial Performance of Epoxy-Based Nanocomposite Coatings, Publication date: 2022.
  5. Synthesis and characterization of template-mediated mesoporous alumina nanostructures with efficient and fast adsorption of Congo red from aqueous solutions, Publication date: 2022.
  6. Recovery of lead as lead sulphide from anode slime using hydrometallurgical technique, Publication date: 2021.
  7. A brief review on the development of self-healing, hydrophobic and antifouling epoxy coating, Publication date: 2020.
  8. Iron control in wet chemical leaching of polymetallic nodule through combined reagents, Publication date: 2021.
  9. Effect of molecular dimension on gallery height, release kinetics and antibacterial activity of Zn-Al layered double hydroxide (LDH) encapsulated with benzoate and its derivatives, Publication date: 2019.
  10. Comparative evaluation of synthetic routes and Antibacterial/Antifungal Properties of Zn–Al Layered Double Hydroxides Containing Benzoate Anion, Publication date: 2018.
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