Larisa Stepanova | Atomistic simulations | Best Researcher Award

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Dr. Larisa Stepanova | Atomistic simulations | Best Researcher Award

PHD at Lomonosov Moscow State University, Russia

Born on May 21, 1969, in Kuibyshev, Russia, Dr. Stepanova is a distinguished Russian scientist specializing in continuum mechanics and mathematical modeling. He earned his Diploma in Mechanics from Samara State University in 1991, followed by a PhD from Lomonosov Moscow State University in 1994. His academic career includes roles as Assistant Professor, Senior Lecturer, and Associate Professor at Samara State University, where he became a Full Professor in 2011. He holds a Doctorate in Physical and Mathematical Sciences from the Russian Academy of Sciences. His research has been recognized internationally, with fellowships in Sweden, South Africa, and France.

Professional Profiles

Publications:

Coefficients of the williams power expansion of the near crack tip stress field in continuum linear elastic fracture mechanics at the nanoscale, Publication date: 2022.

Methods of perturbation theory and their applications in nonlinear fracture mechanics: From the pioneering studies by Hutchinson, Rice and Rosengren until today, Publication date: 2019.

Stress intensity factors, T-stresses and higher order coefficients of the Williams series expansion and their evaluation through molecular dynamics simulations, Publication date: 2022.

IDENTIFICATION OF STRESS INTENSITY FACTORS, T-STRESSES AND HIGHER-ORDER COEFFICIENTS OF REGULAR TERMS IN THE WILLIAMS SERIES EXPANSION THROUGH MOLECULAR DYNAMICS SIMULATIONS, Publication date: 2023.

Identification of Linear Elastic Fracture Mechanics Parameters Through the Atomistic Simulation Based Analysis, Publication date: 2023.

 

S.K. Geetha | Density Functional Theory | Excellence in Research

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Dr. S.K. Geetha | Density Functional Theory | Excellence in Research

PHD at Anna University, India

Dr. S.K. Geetha is an Associate Professor in the PG & Research Department of Physics at Government Arts College for Men (A), affiliated with Madras University in Chennai. With 28 years of undergraduate and 15 years of postgraduate teaching experience, she has a robust background in physics education. Dr. Geetha holds a Ph.D. from Anna University and has extensive research experience, including Ph.D. guideship with one awarded and four pursuing students. Her accolades include the Best Teacher Award (2005-2006) and several certificates of appreciation for her contributions to academic excellence and college administration. Density Functional Theory

Professional Profiles

Education

Ph.D. in Physics: Anna University, Chennai M.Phil. in Physics: MCC Tambaram M.Sc. in Physics: QMC, Chennai

Research Experience in Physics

General Research: 27 years Ph.D. Guideship (since 2015): 1 Awarded, 4 pursuing Density Functional Theory

Achievements

Best Teacher Award: 2005-2006 at Meenakshi College of Engineering, Chennai Certificate of Appreciation: For producing 92% results at Rajiv Gandhi College of Engineering Administrative Committee Membership: Inducted at Rajiv Gandhi College of Engineering for dedication and hard work Certificate of Honour: Awarded for services rendered to the college during 1992-1993 Density Functional Theory

Research Focus

Dr. S.K. Geetha’s research primarily focuses on the field of crystallography, specifically in the modification and improvement of crystal properties through doping with metal ions. Her work includes extensive computational and experimental investigations into the structural, vibrational, and optical properties of various compounds. Dr. Geetha has contributed significantly to understanding nucleation kinetics, solvent effects, and non-covalent interactions in crystal growth. Her research extends to practical applications in photoelectrochemical water splitting, with a strong emphasis on nanomaterials like bismuth tungstate. She also explores the therapeutic effects and characterization of plant extracts, showcasing her diverse expertise in applied physics and materials science. Density Functional Theory

Publications

  1. Synthesis, experimental and theoretical spectroscopic electronic elucidation along with biological assessment and molecular docking studies on 2-(3-(1, 4-diazepan-1-yl) propyl, Publication date: 2024.
  2. Comprehensive Evaluation of Nanosized Bismuth Tungstate (Bi2WO6) as Photoanodes for Photoelectrochemical Water Splitting Performance, Publication date: 2024.
  3. Comprehensive Evaluation of Nanosized Bismuth Tungstate (Bi2WO6) as Photoanodes for Photoelectrochemical Water Splitting Performance, Publication date: 2024.
  4. pH controlled synthesis and photoelectrochemical kinetics of bismuth molybdate (Bi2MoO6) nanoplates as photoanodes for solar-driven water splitting, Publication date: 2023.
  5. Therapeutic Effect and Characterisation of Ethanol and Acetone Extracts of Aegle marmeloes, Publication date: 2023.
  6. Computational examination on monomeric, dimeric, trimeric structural and vibrational interactions, AIM, Hirshfeld, IGM and oxygenated solvent effect on optical properties for … Publication date: 2022.
  7. Vibrational spectra and Wavefunction investigation for antidepressant drug of Amoxapine based on quantum computational studies, Publication date: 2021.
  8. Theoretical investigation on influence of protic and aprotic solvents effect and structural (Monomer, Dimer), Van-der Waals and Hirshfeld surface analysis for clonidine molecule, Publication date: 2021.
  9. Probing solvent effect and strong and weak interactions in 2-Nitrophenyl-hydrazine using independent gradient model and Hirshfeld from wave function calculation, Publication date: 2021.
  10. Extension of modified classical theory to nucleation of NKAP from aqueous solutions, Publication date: 2014.
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Linlin You | Computing | Best Researcher Award

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Assoc Prof Dr. Linlin You | Computing | Best Researcher Award

PHD at the University of Pavia,  Italy

Linlin You is an Associate Professor at Sun Yat-sen University, specializing in Smart Cities, Autonomous Systems, Distributed Computing, and Federated Learning. She obtained her Ph.D. from the University of Pavia and has conducted research at MIT and Singapore-MIT Alliance for Research and Technology. Linlin has authored over 70 publications and holds 21 patents. She serves as an editorial board member for prestigious journals like The Innovation and is a Senior Member of IEEE. Her contributions in advancing distributed computing and federated learning have earned her recognition, including the Smart City Technology Innovation Award, highlighting her impact in sustainable urban development and intelligent systems. computing

Professional Profiles

Academic and Professional Background

Linlin You is an Associate Professor at Sun Yat-sen University and a Research Affiliate at MIT. Formerly a senior postdoc at Singapore-MIT Alliance for Research and Technology, she earned her Ph.D. in Computer Science from the University of Pavia in 2015. Her research spans Smart Cities, Autonomous Systems, Distributed Computing, Federated Learning, and AI-driven solutions for transportation and energy. She has authored over 70 publications in top-tier journals/conferences and holds 21 patents. Linlin serves on editorial boards, including The Innovation (IF 33.2), and is an IEEE Senior Member. computing

Research and Innovations

CEO of Naftan Payesh Integrity and Corrosion Management Co., driving innovation in corrosion management and root cause failure analysis Senior Corrosion Consultant at LifeTech Engineering, advising on global energy projects Technical Manager and Chairman at Miad Tech. Co., specializing in materials characterization and corrosion solutions computing

Areas of Research

Her research focuses on systems and services, computing, and learning.

Research Focuses

Linlin You’s research focuses on Smart Cities, Autonomous Systems, Distributed Computing, and Federated Learning. Her work explores the impact of urban morphology on solar capacity in three-dimensional cities, accurate modeling of photovoltaic modules using deep learning networks, and personal mobility service systems in urban areas. She has developed innovative federated learning mechanisms and contributed to understanding solar accessibility and sustainable urban development. Linlin’s research also addresses mobility sensing systems, public sentiment analysis for smart city design, and cloud computing service quality management. Her contributions span over 70 publications, numerous patents, and editorial roles in leading journals, demonstrating leadership in advancing technologies for intelligent urban environments.

Publications

  1. From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research, Publication date: 2024.
  2. Precise Landmark-Map for Bundle Adjustment LiDAR Odometry, Publication date: 2024.
  3. Resource-Aware Split Federated Learning for Edge Intelligence,, Publication date: 2024.
  4. SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems.Publication date: 2024.
  5. Unravelling the effects of dynamic urban thermal environment on utility-scale floating photovoltaic electricity generation, Publication date: 2023.
  6. FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning, Publication date: 2023.
  7. Efficiency-Improved Federated Learning Approaches for Time of Arrival Estimation, Publication date: 2023.
  8. Enterprise oriented software engineering education: a preliminary framework, Publication date: 2023.
  9. Multi-source data management mechanism and platform,  Publication date: 2022.
  10. Integrated Mobility for Individuals in Smarter Cities: a Crowd-sourcing approach, Publication date: 2022.
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