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

Design of experiments (DOE)

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

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 techniques in the field of engineering data analysis. This conference provides a platform for the exchange of ideas, methodologies, and best practices aimed at improving decision-making and innovation in engineering disciplines through statistical methods.

Design of Experiments (DOE)

Advanced Techniques in Experimental Design Exploring innovative DOE methods to optimize experimentation in engineering research.

Robust Design and Taguchi Methods

Enhancing product and process performance through robust parameter design.

Fractional Factorial Designs

Strategies for efficient experimentation with limited resources in engineering applications.

Statistical Process Control (SPC)

Implementing SPC tools for monitoring and improving manufacturing processes.

Reliability Analysis

Assessing and enhancing the reliability of engineering systems and products.

Six Sigma Methodology

Applying statistical methods to achieve higher quality and process improvement.

Regression Analysis

Utilizing regression models for predicting and optimizing engineering outcomes.

Bayesian Methods

Incorporating Bayesian statistics for uncertainty quantification and decision-making.

Data Mining and Machine Learning: Leveraging advanced techniques for pattern recognition and predictive modeling in engineering data.

Handling Large-Scale Data

Strategies for managing and analyzing massive datasets in engineering applications.