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.

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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 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. Yi Sun l Quantitative risk assessment | Best Researcher Award

Posted on 08/01/202408/01/2024 by ScienceFather

Dr. Yi Sun | Quantitative risk assessment | Best Researcher Award

👩‍⚕️ Dr. Yi Sun Institute for Occupational Safety and Health of the German Social Accident Insurance University, Germany

Dr. Yi Sun 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

Orcid profile

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🔬 Professional Profile

Occupational epidemiology expert with a focus on epidemiological methods, exposure assessment, and quantitative risk evaluation. Dr. Sun serves as a senior epidemiologist and consultant at the German Social Accident Insurance (DGUV), specializing in:

Regulatory risk assessment for work-related hazards Defining and recognizing occupational diseases based on evidence Evaluating research applications and final reports from various projects Peer-reviewing for esteemed international journals like OEM, European Journal of Epidemiology, International Archives of Occupational and Environmental Health, among others.

🔍 Research Projects

Dr. Sun has contributed to various epidemiological projects covering osteoarthritis, macular degeneration, breast cancer etiology, lung cancer screening among radon-exposed workers, respiratory health effects, and more. These studies span diverse worker groups, including those in the rubber industry, coal tar refineries, and workers exposed to silica dust and diesel exhaust.

👨‍💼 Employment History

Present: Applied Epidemiology at Institute of Occupational Safety and Health (BGIA), German Social Accident Insurance

University of Münster, Institute of Epidemiology and Social Medicine

University of Ulm, Department of Epidemiology

Beijing Quarantine Service, China

📚 Education

University of Essen: Doctor of Medicine (MD)

Beijing University, Medical Division: Bachelor of Preventive Medicine (Public Health)

🗣️ Languages

Chinese: Native proficiency

German: Fluent (written and spoken)

English: Fluent (written and spoken)

📖 Publications Top Note :

Development and Validation of a Practical Instrument for Injury Prevention: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT) paper publication in June 2018

Exposure–response relationship and doubling risk doses—a systematic review of occupational workload and osteoarthritis of the hip paper publication in 30 September 2019 cite by 4

Hip osteoarthritis and physical workload: Influence of study quality on risk estimations—a meta-analysis of epidemiological findings paper publication in January 2019 cite by 2

Diesel exhaust exposure and the risk of lung cancer-a review of the epidemiological evidence paper publication in 27 January 2014 cite by 26

Exposure-response analysis and risk assessment for lung cancer in relationship to silica exposure: A 44-year cohort study of 34,018workers paper publication in September 2013 cite by 83

A comparative field study on dust measurements by different sampling methods with emphasis on estimating factors for recalculation from chinese ‘total dust’ measurements to respirable dust concentrations paper publication in 2012 Jan 6 cite by 2

Long-term exposure to silica dust and risk of total and cause-specific mortality in Chinese workers: A cohort study

paper publication in 2012 Apr 17 cite by 192

Epidemiological evidence for work load as a risk factor for osteoarthritis of the hip: A systematic review paper publication in 2012 feb 14 cite by 64

Mr. Emanuele Buchicchio l measurement | Best Researcher Award

Posted on 30/12/202330/12/2023 by ScienceFather

Mr. Emanuele Buchicchio | measurement | Best Researcher Award

PHD at University of Perugia, Italy

Mr. Emanuele Buchicchio 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

Professional

I’m an Italian software engineer and Ph.D. student with a great passion for science and technology. My experience spans across various software projects and products, and my interests revolve around software development, machine learning, deep learning, cloud computing, DevOps, cybersecurity, IoT, and software quality metrics.

My career includes technical and managerial roles in multinational companies in electronics and fashion sectors. Holding an MBA since November 2011, I ventured into Smartpeg in July 2016, focusing on Industrial IoT, AI, and ML projects. I’m currently the Chief Technology Officer (CTO) and Chief Information Security Officer (CISO), concentrating on AI-powered solutions for human resource management.

Main Skills

I specialize in web application design, .Net/Core, C#, Java, Typescript, Angular, Python, Industrial IoT, Embedded Systems, machine learning, cybersecurity, ISO 27001, Cloud (Microsoft Azure, Google Cloud), Agile methodologies, software quality metrics, and GDPR compliance.

Language Proficiency

French: A1

English: C1

Work Experience

PhD Student (Since Nov. 2020): University of Perugia, focusing on machine learning-based measurement tools. Chief Technology Officer (Since July 2016): Smartpeg srl – Perugia, involved in web app design, development, and AI-powered solutions. Senior Software Developer (June 2014 – July 2016): Pegaso200 srl – Corciano, worked on web applications, web services, and single-page applications. Consultant / Software Developer (Feb. 2011- Jun. 2014): Gianos Consulting S.r.l. – Orvieto, involved in web and mobile app development, CRM solutions. Product Manager (Oct. 2008 – Jan. 2011): Eles Semiconductor Equipment – Todi, managed software products and documentation. Software Engineer (Jan. 2007 – Oct. 2008): Eles Semiconductor Equipment – Todi, involved in software development and quality management.

Education and Training

PhD Winter/summer Schools: Attended various ML and AI-focused programs. Azure Cloud Fundamentals, AI Product Manager Nanodegree, Microsoft Professional Programs for Data Science. MBA (Jun. 2010 – Nov. 2011) and Engineering Degrees (2004 – 2006) from the University of Perugia. High school degree (1995 – 2000) from Liceo Statale Jacopone da Todi, Todi (PG).