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

Posted on 02/02/202402/02/2024 by ScienceFather

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.

Professional Profiles

Scopus profile

google scholar

🎓 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 2015 cite by 153

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

Posted on 27/01/2024 by ScienceFather

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

google scholar

orcid profile

👩‍🎓 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 2018 cite by 20

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

Dr Haris Khurram | Computational Statistical Modeling

Posted on 09/12/2023 by ScienceFather

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

Nonparametric methods

Posted on 07/10/202311/10/2023 by ScienceFather

Nonparametric methods

This conference serves as a platform for sharing cutting-edge research and practical applications of statistical methods in engineering data analysis. It fosters collaboration and knowledge exchange in the pursuit of enhancing the quality and reliability of engineering systems.

Kernel Density Estimation (KDE) for Reliability Assessment

Explore the application of kernel density estimation techniques to assess the reliability of engineering systems by modeling failure and repair times, enabling more informed decision-making in maintenance and operations.

Nonparametric Regression for Quality Control

Investigate the use of nonparametric regression models, such as loess and spline methods, in quality control processes to detect and address variations in manufacturing and production systems, ensuring product consistency.

Survival Analysis for Engineering Systems

Delve into survival analysis methods, such as Kaplan-Meier estimation and Cox proportional hazards models, to analyze time-to-event data in engineering contexts, such as equipment lifetimes and component failures.

Nonparametric Hypothesis Testing in Experimental Design

Examine the application of nonparametric tests like the Wilcoxon rank-sum test and the Kruskal-Wallis test to assess the significance of treatment effects and factors in engineering experiments, facilitating robust conclusions.

Functional Data Analysis for Sensor Data

Explore the use of functional data analysis techniques to analyze and model high-dimensional sensor data generated by complex engineering systems, enabling real-time monitoring and anomaly detection.

Descriptive statistics

Posted on 07/10/202311/10/2023 by ScienceFather

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 to engineering data.

Data Visualization Techniques

Effective visualization methods for engineering data, such as scatter plots, histograms, and box plots, to gain insights into data distributions and trends.

Summary Statistics for Engineering Parameters

Exploration of summary statistics like mean, median, variance, and skewness tailored to engineering variables, aiding in the characterization of data central tendencies and variability.

Time Series Analysis in Engineering

Application of descriptive statistical methods to analyze time-dependent engineering data, including autocorrelation, trend analysis, and seasonal decomposition.

Multivariate Data Analysis

Techniques for summarizing and visualizing multivariate engineering data, such as principal component analysis (PCA) and factor analysis, to identify latent patterns and relationships.

Reliability and Failure Analysis

Descriptive statistics specific to reliability engineering, including the calculation of failure rates, mean time to failure (MTTF), and Weibull analysis, to assess product and system performance.

Introduction to statistics and probability

Posted on 07/10/202311/10/2023 by ScienceFather

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

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