Dr. D P Gaikwad | Computer Engineering | Best Innovation Award

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Dr. D P Gaikwad | Computer Engineering | Best Innovation Award

👩‍⚕️Dr. D P Gaikwad | AISSMS College of Engineering, Pune  | India

Dr. D P Gaikwad Arzideh distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

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🎓 Academic Record:

Ph.D. 

Passing Year: 2017 Board/University: Swami Ramanand Teerth Marathwada University, Nanded Main Subject: Computer Science and Engineering. Class, % Marks, No. of Attempts: NA

M. Tech.

Passing Year: 2006 Board/University: College of Engineering, Pune, SPPU, Pune Main Subject: Computer Science and Engineering. Class, % Marks, No. of Attempts: 7.03 CGPA First Class

B.E

Passing Year: 1996 Board/University: SGGS College of Engineering, Nanded Main Subject: Computer Science and Engineering. Class, % Marks, No. of Attempts: 60.80%, First Class

HSC

Passing Year: 1990 Board/University: Science College, Nanded Main Subject: General Science Class, % Marks, No. of Attempts: 69.33%, First Class

SSC

Passing Year: 1988 Board/University: Shri Sharada Bhavan High School, Nanded Main Subject: General Class, % Marks, No. of Attempts: 73.42%, First Class

📚 Teaching Experience:

Courses Taught: Microprocessor and Microcontrollers (UG) Network security (UG) Advanced Computer Networks (UG) Design of Algorithms (UG) Distributed Operating System (UG) Principles of Compiler Design (UG) Object Oriented Programming (UG) Neural Networks (UG) Theory of Computation (UG) Soft Computing Optimization Algorithm (PG) Machine Learning (PG) Advanced Computer Architecture (PG) Research Methodology (PG) Bio-inspired Optimization Algorithm (PG)

🏢 Administration Responsibilities Held:

Faculty Development Programme coordinator Head, Department of Computer Engineering In charge of Research and Development NBA Co-ordinator of Computer Department Subject Chairman of Computer and Network security Practical Chairman of Microprocessor and Interfacing techniques Chairman of Machine Learning Subject of ME (Computer)

🏆 International Awards Received:

Best Researcher Award – VDGOOD Technology Factory ICONIC Educationalist Award – The Glorious Organization for Accelerated in Literacy(GOAL) Shiksha Vibhuti Award – The Glorious Organization for Accelerated in Literacy(GOAL)  Best Researcher Award – Knowledge Research Academy, Coimbatore Best Faculty Award – Knowledge Research Academy, Coimbatore

📘 Chapter in International Book Publisher:

Machine Learning Algorithms for Prediction of Chemical Toxicity – CRC Press, 2023 Ensemble of Soft Computing Techniques for Inline Intrusion Detection System – Theory and Applications of Mathematical Science.

📊 Citation Metrics (Google Scholar):

Citations by: All – 502, Since 2018 – 370

h-index: All – 6, Since 2018 – 8

i10 index: All – 8, Since 2018 – 7

📖 Publications  Top Note :

Intrusion detection system using bagging ensemble method of machine learning  paper publication in

Intrusion detection system using bagging with partial decision treebase classifier    paper publication in  September 2015 cite by 85

Real time hybrid intrusion detection system using signature matching algorithm and fuzzy-GA   paper publication in 2016 cite by 39

Automated irrigation and crop security system in agriculture using Internet of Things  paper publication in  2020 cite by 10

Anomaly based intrusion detection system using artificial neural network and fuzzy clustering  paper publication in 2012 cite by 28

Hiding the Text and Image Message of Variable Size Using Encryption and Compression Algorithms in Video Steganography  paper publication in 2014 cite by 24

DAREnsemble: Decision tree and rule learner based ensemble for network intrusion detection system   paper publication in 2016 cite by 23

Color Image Restoration for an Effective Steganography    paper publication in 2010 cite by 16

Normalization using improvised K-means applied in diagnosing thyroid disease with ANN      paper publication in 2017 cite by 9

Sign-Talk: Hand gesture recognition system       paper publication in 2017 cite by 9

 

 

Dr. Seyyed Mohammad Arzideh | Response Surface Methodology | Engineering Data Analytics Leadership Award

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Dr. Seyyed Mohammad Arzideh | Response Surface Methodology | Engineering Data Analytics Leadership Award

👩‍⚕️Dr. Seyyed Mohammad Arzideh | Babol Noshirvani University of Technology  | Iran

Dr. Seyyed Mohammad Arzideh distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

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👩‍🎓 Profile

Highly self-motivated Ph.D. in Chemical EngineeringResearch expertise: Separation Processes, Chemical Thermodynamics, Polymeric Solutions CharacterizationsExperimental techniques: Ionic Liquid Based Bioseparation System, Polymeric Biphasic Systems, Supercritical Fluid Extraction (SFE)Computerized simulation: MATLAB, Aspen HYSYS, ANSYS FluentLaboratory skills: Gas and Liquid Chromatography (GC/LC), Atomic Absorption Spectroscopy (AAS), UV-Vis. Spectroscopy

🎓 Education:

🏫 Ph.D. in Chemical Engineering from Babol Noshirvani University of Technology, Iran (GPA: 3.9/4.0, 2021).📝 Thesis Title: “An Activity Coefficient Model for Fluid Phase Multicomponent Mixtures Based on Binary and Ternary Collision in Liquid-liquid Equilibrium along with Experimental Study of Aqueous Two Phase Equilibria of Ionic Liquids.”🏫 M.Sc. in Chemical Engineering from Sharif University of Technology, Tehran, Iran (GPA: 3.7/4.0, 2010).📝 Thesis Title: “Extraction of Organic Component by Supercritical Fluid.”🏫 B.Sc. in Chemical Engineering from General Directorate of Girls Colleges, Girls College of Education-Scientific Section, Jeddah, Saudi Arabia (GPA: Excellent with Honor, 1997).

🔍 Research Interest:

🧪 Innovative separation techniques for biomolecules and organic substances.🧪 Design of separation processes using novel solvents like ILs, DES, and SCF.📊 Thermodynamic model development for separation processes.⚗️ Ion-solvation analysis in complex electrolyte mixtures.

👩‍🔬Research Experience:

🧫 Developed the HIS-UNIQUAC activity coefficient model for fluid phase multicomponent mixtures during Ph.D. thesis.🌡️ Investigated the biomolecule partition in an adjuvant quaternary biphasic system.🧪 Explored IL solvation in HIS-UNIQUAC model, analyzing ion-association behavior in mixed-solvent solutions.

💡Research Contributions:

📈 HIS-UNIQUAC model efficiently describes both single-solvent and mixed-solvent electrolyte systems.🌐 Proposed a quaternary biphasic system for biomolecule partitioning, considering IL selectivity.⚡ Studied ion-association and solvation behavior of IL in mixed-solvent solutions, enhancing biomolecule affinity.

🔬 Laboratory Skills:

🧪 Gas and Liquid Chromatography (GC/LC).🌈 Atomic Absorption Spectroscopy (AAS).🌞 UV-Vis. Spectroscopy.🔥 Thermal Gravimetric Analysis (TGA).📏 Karl-Fischer Titration.

📚  Research Publications

📄 Published articles in reputable journals covering topics such as HIS-UNIQUAC model, biomolecule partitioning, and IL solvation.

🛠️ Software And Programming Skills:

🖥️ MATLAB, Aspen HYSYS, ANSYS Fluent for computerized simulation.📊 Statistical analysis using tools like SPSS.💻 Programming skills in QBasic, Fortran, C++, and Mathematica.

🏆 Awards And Honor:

🏅 Recognized for the Ph.D. thesis on “An Activity Coefficient Model for Fluid Phase Multicomponent Mixtures.”

🌍 Internationl Conllaborations:

🌐 Collaborated with researchers from diverse backgrounds in conferences and workshops.

📖 Teaching Experience:

👩‍🏫 Shared expertise in chemical engineering and separation processes through teaching.

🔍 Extracurricular Activities:

🌐 Actively engaged in peer review activities for renowned journals.

📈 Mentorship:

🤝 Provided guidance and mentorship to students in research projects.

🏆 Certificates And RSanking:

🏆 Received certificates of recognition for outstanding contributions.📊 Ranked among the top students in academic evaluations.

📑 Conclusion: .

Dr. [Name] is a highly self-motivated and accomplished Ph.D. graduate with a strong background in chemical engineering and a focus on separation processes. Her research contributions, laboratory skills, and proficiency in various software make her a valuable asset in the field. The innovative approaches and international collaborations reflect her commitment to advancing scientific knowledge. 🌟

📊 Citation Metrics (Google Scholar):

Citations by: All – 82, Since 2018 – 82

h-index: All – 6, Since 2018 – 6

i10 index: All – 4, Since 2018 – 4

📖 Publications  Top Note :

Influence of the temperature, type of salt, and alcohol on phase diagrams of 2-propanol+ inorganic salt aqueous two-phase systems: experimental determination and correlation   paper publication in

Phase equilibria of aqueous two-phase systems of PEG with sulfate salt: effects of pH, temperature, type of cation, and polymer molecular weight  paper publication in  September 2021 cite by 13

Ion-solvent interaction of 1-decyl-3-methylimidazolium chloride and isopropanol in a quaternary aqueous two phase system for the efficient partitioning of vanillin and L-tryptophan   paper publication in 2021 cite by 12

Equilibrium data and thermodynamic studies of L-tryptophan partition in alcohol/phosphate potassium salt-based aqueous two phase systems  paper publication in  2020 cite by 10

Phase equilibria of PEG/sulfate salt aqueous two-phase systems: Effects of PH and molecular weight of polymer  paper publication in 2021 cite by 7

Phase behavior for 1-butyl-3-methylimidazolium tetrafluoroborate with sodium oxalate/succinate/formate aqueous two-phase systems at 298.15 and 308.15 K   paper publication in 2020 cite by 7

Temperature, Polymer Molecular Weight, and Salt Effects on Phase Equilibria of PVP+ Formate Salts+ Water: Experimental Measurements, Correlations, and Thermodynamic Modeling    paper publication in 2021 cite by 6

Green extraction of Cu (II) in PEG-zinc sulfate aqueous two phase system using response surface methodology paper publication in 2022 cite by 5

Phase Equilibria of the Ternary System of Lithium Sulfate+ Polyethylene Glycol (PEG3000)+ Water at Different pH: Experiment Determination, Correlation, and Thermodynamic Modeling      paper publication in 2022 cite by 2

Measurements, correlations and thermodynamic modeling of aqueous two-phase systems of polyvinylpyrrolidone (PVP)+ sulfate/citrate salts  paper publication in 2023

 

 

Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award | 2076

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Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award

👩‍⚕️Prof. Hanaa Abu-Zinadah | Tufts University | United States

Prof. Hanaa Abu-Zinadaha distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

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orcid profile

 📚 Academic Journey:

Hana Hussien Mohssen Abuznadah embarked on a remarkable academic journey, earning her Bachelor’s degree in Mathematics from the General Directorate of Girls Colleges in Jeddah, Kingdom of Saudi Arabia, in 1997. With excellence and honor, she pursued her Master’s degree at the Girls College of Education-Scientific Section, specializing in Statistics, completing it in 2001.Her academic fervor continued as she delved into a Doctorate program at the same institution, earning her Ph.D. in Mathematical Statistics in 2006. Her thesis on “Statistical Inference about Rayleigh Density Function and its Parameter” and later research on the “Exponentiated Pareto Distribution” showcased her dedication to statistical studies.

👩‍🏫 Teaching Odyssey:

Hana’s teaching career commenced at Palms School in Jeddah, Saudi Arabia, where she served as a Teacher from 1997 to 1998. She then transitioned to the Girls College of Education, Scientific Section, Department of Mathematics, holding roles as Teacher Assistant, Lecturer, and eventually Assistant Professor from 1998 to 2007. Furthering her career, she became an Associate Professor at King Abdulaziz University and later joined the University of Jeddah, where she currently holds the position of Professor in the College of Sciences, Department of Mathematics and Statistics.

👩‍🔬 Academic Leadership:

Throughout her tenure, Hana has been an integral part of various committees and played key roles in academic development. Notably, she served as the Head of the department in the Girls Branch, a member of the Committee of Graduate Studies and Scientific Research, and a coordinator for Statistics and Computer courses during her illustrious career.

🌐 Workshops and Conferences:

Hana actively participated in numerous academic events, including book fairs, scientific forums, and international conferences. Her engagement in conferences like the OSDI Conference in Jordan and the German Open Conference on Probability and Statistics reflects her commitment to staying abreast of global advancements in her field.

🏆 Awards and Recognition:

Hana’s contributions to the field were recognized when her article, “Numerical Solution of Traveling Waves in Chemical Kinetics,” secured the first place for Highly Cited and Hot Papers among University of Jeddah publications in 2022. Additionally, her acknowledgment by Elsevier as a top OpenAccess contributor attests to her impact on open science.

🔍 Research Interests

With a focus on Distribution Theory, Statistical Inferences, Order Statistics, and Record Values, Hana is dedicated to advancing statistical knowledge. Her expertise extends to programming languages like Fortran, C++, and statistical analysis using SPSS, showcasing her versatile skill set.

🌟 Conclusion:

Hana Hussien Mohssen Abuznadah stands as a beacon of academic excellence and leadership in the realm of statistics. Her multifaceted career, extensive teaching experience, and impactful research underscore her significant contributions to the field of mathematics and statistics. 🎓📊🏆

📊 Citation Metrics (Google Scholar):

Citations by: All – 1030, Since 2018 – 875

h-index: All – 17, Since 2018 – 15

i10 index: All – 25, Since 2018 – 21

📖 Publications  Top Note :

Numerical solution of traveling waves in chemical kinetics: time-fractional fishers equations   paper publication in

Exponentiated Pareto distribution: different method of estimations    paper publication in  September 2009 cite by 77

Novel computational and accurate numerical solutions of the modified Benjamin–Bona–Mahony (BBM) equation arising in the optical illusions field  paper publication in 2001 cite by 74

Analysis and challenges of robust E-exams performance under COVID-19   paper publication in  2001 cite by 63

A Study on Mixture of Exponentiated Pareto and Exponential Distributions, INSInet Publication    paper publication in 2010 cite by 37

Mathematical simulation of casson MHD flow through a permeable moving wedge with nonlinear chemical reaction and nonlinear thermal radiation    paper publication in 2022 cite by 32

Moore–Gibson–Thompson thermoelasticity model with temperature-dependent properties for thermo-viscoelastic orthotropic solid cylinder of infinite length under a temperature pulse    paper publication in 2009 cite by 29

Some characterizations of the exponentiated Gompertz distribution    paper publication in 2014 cite by 29

Study on the applications of two analytical methods for the construction of traveling wave solutions of the modified equal width equation       paper publication in 2020 cite by 28

Characterizations of the exponentiated Pareto distribution based on record values      paper publication in 2008 cite by 27

 

 

Dr Haris Khurram | Computational Statistical Modeling

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Dr Haris Khurram | Leading Researcher in Computational Statistical Modeling

Congratulations,Dr Haris Khurram  on winning the esteemed Women Researcher Award  from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Haris Khurram Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Academics:

PhD in Statistics, Bahauddin Zakariya University, Multan, 2016-2021, Thesis: Bayesian Non-Parametric Modelling.

M.Phil. in Statistics, Bahauddin Zakariya University, Multan, 2014-2016, Thesis: Identifying Continuous Probability Distributions.

Work:

Assistant Professor (Statistics), National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Pakistan (2021-present).

Lecturer (Statistics) at various institutions.

Taught in diverse departments: Information Technology, Commerce, Agriculture Technology, Soil Science, Forestry.

Admin and committee roles at National University.

Membership in Pakistan Institute of Statistical Training and Research.

International Engagements:

Presented papers at global conferences on Statistical Sciences, Neonatology, Disaster Risk Reduction, and more.

Editorial roles in various academic journals.

Reviewed papers for esteemed journals in statistics, public health, and medical sciences.

Awarded for Best Paper and Achievement in Disaster Risk Reduction.

Community Engagement:

Conducted workshops on Faculty Development, Outcome-Based Education, and Pedagogical Techniques.

Contributed to disaster risk reduction expos, survey statistic conferences, and workshops on curriculum design.

Computer Skills:

Proficient in MS-Office Suite, LaTeX, and various statistical software: R, SPSS, Minitab, E-Views, Stata, Mathematica, etc.

Interests:

Expertise and interest in computational statistical methods, survey sampling, Bayesian modeling, econometric analysis.

Application domains: Bio-Medical Science, Pharmaceutical Sciences, Genetics, Social Sciences.

Publications Top Note :

Predatory functional response and fitness parameters of Orius strigicollis Poppius when fed Bemisia tabaci and Trialeurodes vaporariorum as determined by age-stage, two-sex … paper published in 2015 cite by 20

Why Banks Need Adequate Capital Adequacy Ratio? A Study of Lending & Deposit Behaviors of Banking Sector of Pakistan  paper published in 2018 cite by 14

Stock Market Forecasting Using the Random Forest and Deep Neural Network Models Before and During the COVID-19 Period paper published in 2022 cite by 6

Nutritional status and growth centiles using anthropometric measures of school-aged children and adolescents from Multan district  paper published in 2022 cite by 5

Impact of Terrorism on Stock Market: A Case of South Asian Stock Markets  paper published in 20196 cite by 4

Assessing Patient Satisfaction with Community Pharmacy Services: A Large Regional Study at Punjab, Pakistan paper published in 2023 cite by 3

Knowledge, attitudes and practices of pharmacogenomics among senior pharmacy students: a cross sectional study from Punjab, Pakistan   paper published in 2022 cite by 3

Assessment of health-related quality of life in hypertensive hemodialysis patients  paper published in 2022 cite by 3

Disposal practices of expired and unused medications among households in Punjab, Pakistan   paper published in 2023 cite by 2

Antibiotic use: A cross-sectional survey assessing the knowledge, attitudes, and practices amongst students of Punjab, Pakistan paper published in 2022 cite by 2

 

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 61, Since 2018 – 61
  • h-index: All – 4, Since 2018 – 4
  • i10 index: All – 2, Since 2018 – 2

 

 

Multiple linear regression analysis

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Multiple linear regression analysis

The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners in the field of engineering data analysis. This conference serves as a platform for sharing cutting-edge statistical methodologies and their applications in addressing complex engineering challenges.

 

Advanced Regression Techniques

Exploring innovative methods for analyzing engineering data, including multiple linear regression analysis, to extract valuable insights and improve decision-making processes.

Reliability and Survival Analysis

Investigating statistical approaches to assess the reliability and survival characteristics of engineering systems, vital for product design and maintenance.

Design of Experiments (DOE)

Discussing the role of DOE in optimizing engineering processes, minimizing defects, and enhancing product performance through systematic experimentation.

Bayesian Statistics in Engineering

Exploring the application of Bayesian methods in modeling and analyzing engineering data, enabling more robust and accurate predictions.

Quality Control and Process Improvement

Highlighting statistical tools and techniques for monitoring and enhancing the quality of engineering processes and products, ensuring compliance with industry standards.

Simple linear regression analysis

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Simple linear regression analysis

Welcome to the International Conference on Statistical Methods for Analyzing Engineering Data, a premier gathering of experts and researchers at the intersection of statistics and engineering. This conference serves as a platform for sharing cutting-edge techniques and insights that harness statistical methods to solve complex engineering challenges, foster innovation, and enhance decision-making in the field.

Regression Modeling for Quality Control

Explore how simple linear regression can be applied to analyze engineering data for quality control processes, ensuring product reliability and consistency.

Predictive Maintenance with Linear Regression

Delve into the use of linear regression to develop predictive maintenance models that optimize machinery performance and reduce downtime in engineering systems.

Environmental Impact Assessment

Investigate how linear regression analysis aids in assessing the environmental impact of engineering projects by modeling relationships between variables such as emissions, energy consumption, and ecological factors.

Reliability and Durability Analysis

Discuss how simple linear regression techniques can be employed to evaluate the reliability and durability of engineering components, leading to improved product designs and longer lifecycles.

Supply Chain Optimization

Explore the role of linear regression in optimizing supply chain operations, addressing challenges related to demand forecasting, inventory management, and production planning in the engineering industry.

Probability distributions

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Probability distributions

This conference serves as a platform for the exchange of cutting-edge ideas and methodologies for analyzing and interpreting data in the realm of engineering, with a particular focus on probability distributions and their applications.

Bayesian Methods for Engineering Data Analysis

This subtopic delves into the utilization of Bayesian statistical techniques for modeling and analyzing engineering data. It explores Bayesian inference, Markov Chain Monte Carlo (MCMC) methods, and their applications in engineering contexts.

Reliability Analysis and Probabilistic Design

This subtopic addresses the critical aspects of reliability analysis and how probability distributions play a vital role in assessing the reliability of engineering systems. It also covers probabilistic design methodologies to enhance system performance and safety.

Time Series Analysis in Engineering

Time series data are prevalent in engineering applications. This subtopic focuses on advanced statistical methods for modeling and forecasting time-dependent engineering data, addressing challenges like autocorrelation and seasonality.

Nonparametric Statistics for Engineering Data

Nonparametric statistical methods are vital when the underlying distribution of data is unknown or does not follow a specific parametric form. This subtopic explores techniques like kernel density estimation and rank-based tests in engineering contexts.

Statistical Quality Control and Process Optimization

Statistical methods for quality control and process optimization are critical in engineering industries. This subtopic examines the application of probability distributions in maintaining product quality and optimizing manufacturing processes.

Introduction to statistics and probability

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Introduction to statistics and probability

The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the realm of statistical methodologies applied to engineering data analysis. These awards recognize the innovators and researchers who have made significant strides in advancing the integration of statistics into engineering practices, fostering excellence in the field.

Advanced Data Mining and Machine Learning in Engineering

Recognizing research that utilizes cutting-edge data mining and machine learning techniques to extract valuable insights from vast engineering datasets.

Robust Statistical Modeling in Engineering

Celebrating innovative approaches in developing robust statistical models that can handle complex, noisy, and real-world engineering data.

Reliability and Failure Analysis

Honoring research in statistical methods for assessing reliability, conducting failure analysis, and enhancing the durability of engineering systems and components.

Statistical Quality Control and Process Optimization

Acknowledging contributions to statistical quality control methodologies and process optimization techniques to enhance product quality and performance.

Bayesian Approaches for Engineering Data Analysis

Recognizing outstanding work in applying Bayesian statistical methods to make informed decisions, quantify uncertainties, and model intricate engineering systems.

Autocorrelation, trend analysis, and forecasting
Autocorrelation, trend analysis, and forecasting This conference is dedicated to advancing the knowledge and application of statistical methodologies in the domain of engineering data analysis. It provides a platform for
Introduction to statistics and probability
Introduction to statistics and probability The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the
Descriptive statistics
Descriptive statistic The International Research Awards on Statistical Methods for Analyzing Engineering Data serve as a prestigious platform recognizing and promoting groundbreaking research in the field of statistical analysis applied
Probability distributions
Probability distributions This conference serves as a platform for the exchange of cutting-edge ideas and methodologies for analyzing and interpreting data in the realm of engineering, with a particular focus
Estimation and hypothesis testing
 Estimation and hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from around the world, dedicated to advancing
Design of experiments (DOE)
Design of experiments (DOE) The International Conference on Statistical Methods for Analyzing Engineering Data is a premier gathering of researchers, engineers, and statisticians dedicated to advancing the application of statistical
Non-parametric statistical methods
Non-parametric statistical methods The International Conference on Statistical Methods for Analyzing Engineering Data (ICSMAED) is a prestigious event that brings together leading experts, researchers, and practitioners from the field of
Hypothesis testing
 Hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data provides a crucial forum for engineers, statisticians, and researchers to converge and explore the intricate realm of hypothesis
Regression analysis
Regression analysis The International Conference on Statistical Methods for Analyzing Engineering Data is a distinguished gathering that brings together experts, researchers, and professionals from the realms of engineering and statistics.
Probability theory and distributions
Probability theory and distributions The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from the engineering and statistical communities. This