Dip Patel | Data Analyst | Global Data Innovation Recognition Award

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Mr. Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Vira Design LLC | United States

PUBLICATION PROFILE

Google Scholar

INTRODUCTION 🌟

Mr. Dip Patel is a passionate and detail-oriented IT professional with a strong background in both civil engineering and information technology. With a natural flair for problem-solving and a zero-tolerance attitude toward errors, Dip is committed to delivering precise and innovative solutions in every role he undertakes. Currently based in Ashburn, Virginia, he brings creativity, dedication, and a deep desire to showcase his technical skills and knowledge in real-world applications.

EARLY ACADEMIC PURSUITS 🎓

Dip began his academic journey in civil engineering, earning a Bachelor of Engineering degree from Government Engineering College, Modasa, where he studied from May 2013 to May 2017. His strong technical foundation and analytical mindset led him to pursue a different path aligned with his growing interest in the digital world. He later obtained a Master of Science in Information Technology from the University of North America, Fairfax, VA, graduating in September 2022. This educational transition marked a pivotal point in his career, equipping him with cross-disciplinary knowledge in both structural systems and digital infrastructure.

PROFESSIONAL ENDEAVORS 💼

Dip has accumulated valuable experience in roles that showcase both his technical and analytical capabilities. Starting as an AWS Data Engineer at Vira Design, LLC in Sterling, VA (Oct 2022 – Apr 2024), he honed his skills in cloud infrastructure and data processing. His career evolved into a series of impactful Data Analyst roles at D3 Services (May – June 2024), Ramji LLC (July 2024 – Feb 2025), and again at Vira Design, LLC (Feb 2025 – Present), where he continues to contribute to intelligent data solutions. Dip’s professional network includes strong references from colleagues and supervisors such as Priyank Vira, Sunil Joshi, and Shital Patel, reflecting his reputation for reliability and innovation in the workplace.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

In addition to his work experience, Dip has demonstrated an active interest in cybersecurity and the intersection of technology with public health. His personal project, “Cyber Security in Health Sector” (June–August 2022), explored data privacy and information protection within healthcare systems, an increasingly critical issue in today’s digital age. Dip’s approach blends technical expertise with a problem-solving mindset, making him well-suited for roles that demand both innovation and strategic thinking.

IMPACT AND INFLUENCE 🌍

Through his various roles in the IT and data analytics sectors, Dip has contributed to enhancing data quality, optimizing systems, and supporting informed decision-making. His work has helped businesses streamline operations, secure sensitive information, and utilize data for strategic growth. Dip’s cross-disciplinary education and multicultural fluency (English, Gujarati, and Hindi) allow him to connect and collaborate across diverse teams and industries, making him a valuable asset in the global workforce.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

While Dip has not yet published formal academic research or citations, his Cyber Security in Health Sector project stands as a testament to his independent research capability and interest in real-world technical challenges. His academic journey suggests a potential for future contributions to white papers, technical blogs, or case studies in data analytics and cybersecurity.

HONORS & AWARDS 🏅

Although formal awards are not listed, Dip has earned recognition through continued trust and re-employment by top firms such as Vira Design, LLC, highlighting his dependable performance and consistent contributions. His growing reputation in the fields of AWS data engineering and analytics demonstrates a career marked by impact and potential.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dip Patel is a professional on the rise, with ambitions to continue exploring innovative data technologies and making meaningful contributions in cybersecurity and data science. He aims to further expand his knowledge, take on leadership roles, and drive transformation across industries through data-driven insights and secure technology systems.

FINAL NOTE ✨

Dip Patel represents the new generation of tech-savvy professionals who combine cross-functional expertise with a global perspective. With solid experience in data analytics, cloud engineering, and cybersecurity, paired with a relentless drive for perfection, he is ready to take on new challenges and make a lasting mark in the world of information technology. His journey so far reflects not only technical excellence but also the mindset of a lifelong learner and visionary thinker.

TOP NOTES PUBLICATIONS 📚

Title: Comparative Analysis of Data Visualization Tools: Tableau, Power BI & Looker

    • Authors: DB Patel

    • Journal: The Eastasouth Journal of Information System and Computer Science (ESISCS)

    • Year: 2023

Title: Reinforcement Learning in Dynamic Pricing Models for E-Commerce

    • Authors: DB Patel

    • Journal: The ES Economics And Entrepreneurship (ESEE)

    • Year: 2022

Title: Dynamic vs. Static Visualizations: Understanding Their Use Cases in Big Data Analysis

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2022

Title: Building Scalable Business Intelligence Systems in the Cloud: A Technical Approach

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2021

Title: Understanding the Impact of Text Analytics on Social Media Sentiment Analysis

    • Authors: DIPB Patel

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

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Mr. Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

National Institute of Technology Warangal | India

Publication Profile

Google Scholar

🧑‍🎓 Education

Mr. Laxmi Kantham Durgam is currently pursuing his PhD in Electrical Engineering at National Institute of Technology Warangal, Telangana, India (2021–Present). His research focuses on Speech Recognition, Age and Gender Identification from Speech, and the application of Machine Learning and Deep Learning techniques. He is also a Visiting Researcher at the Technical University of Kosice, Slovakia, as part of the NSP SAIA Fellowship (2024). Mr. Durgam holds an M.Tech in Digital Systems and Computer Electronics from Jawaharlal Nehru Technological University, Hyderabad (2017–2020) and a B.Tech in Electronics and Communication Engineering from the same institution (2011–2015).

📚 Publications

Mr. Durgam has contributed to various publications in the fields of speech processing, deep learning, and edge computing. His notable works include papers on speaker age and gender classification, real-time age estimation from speech, and dress code detection using MobileNetV2 on NVIDIA Jetson Nano. He has been published in journals like Computing and Informatics and Journal of Signal Processing Systems, as well as conferences like ICIT-2023 in Kyoto, Japan.

🔬 Research Experience

Since 2021, Mr. Durgam has been a PhD Research Scholar at NIT Warangal, where his research includes projects on real-time age identification from speech using Edge devices like Jetson Nano and Arduino Nano BLE. He has also worked on real-time projects like vehicle logo classification using Edge Impulse and dress code detection using MobileNetV2. His work is focused on implementing Machine Learning and Deep Learning algorithms for practical, real-time applications.

🏆 Fellowships and Awards

Mr. Durgam was awarded the NSP SAIA Fellowship (2024), an international mobility program funded by the European Union, allowing him to collaborate with the KEMT, Faculty of Electrical Engineering and Informatics at the Technical University of Kosice, Slovakia. He also received the MHRD Fellowship for his PhD from the Government of India. He has passed the NITW PhD Entrance and the GATE exam (2016), and he received financial support as an undergraduate student from the Andhra Pradesh State Government.

📖 Academic Achievements

Mr. Durgam has significantly contributed to the academic environment through his role in conducting hands-on programming sessions in Machine Learning, Deep Learning, and AI applications. He has mentored students in Faculty Development Programs (FDPs), summer and winter internships, and workshops at various institutions. His workshops have reached institutions such as BRIT Vijayanagaram and VBIT Hyderabad, where he focused on advanced deep learning applications on Edge devices.

💻 Technical Skills

Mr. Durgam is highly skilled in programming with languages like Python, C, Embedded C, Matlab, and frameworks such as Keras, TensorFlow, and OpenCV. He has experience working with edge devices like Jetson Nano, Jetson Xavier, and Arduino Nano BLE 33 Sense. His expertise also extends to Machine Learning, Deep Learning, Computer Vision, and Digital Signal Processing.

🧑‍🏫 Teaching and Mentoring

Mr. Durgam has been an active Teaching Assistant and mentor at NIT Warangal, where he has assisted in courses like Artificial Intelligence, Machine Learning, and Digital Signal Processing. He has guided B.Tech students in lab sessions, and his expertise in AI/ML has also been shared through guest lectures and faculty development programs.

🚀 Key Projects

Some of Mr. Durgam’s key projects include age and gender estimation from speech using MFCC features, dress code detection with MobileNetV2 on Edge devices, and real-time object detection using deep learning algorithms. He has successfully developed these applications on devices like Jetson Nano and Arduino Nano BLE for real-time deployment.

🌍 Professional Engagement

Mr. Durgam is an IEEE Student Member and an active participant in IEEE Young Professionals. He has been involved in organizing and coordinating internships, workshops, and training programs related to AI/ML and Deep Learning at NIT Warangal and other institutes. He is passionate about bridging the gap between academia and real-world applications, particularly through Edge Computing and AI deployment.

📚 Top Notes Publications 

Real-Time Dress Code Detection using MobileNetV2 Transfer Learning on NVIDIA Jetson Nano

    • Authors: LK Durgam, RK Jatoth

    • Journal: Proceedings of the 2023 11th International Conference on Information

    • Year: 2023

Real-Time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse

    • Authors: D Abhinay, SV Vighnesh, LK Durgam, RK Jatoth

    • Journal: 2023 4th International Conference on Signal Processing and Communication

    • Year: 2023

Age Estimation based on MFCC Speech Features and Machine Learning Algorithms

    • Authors: LK Durgam, RK Jatoth

    • Journal: IEEE International Symposium on Smart Electronic Systems (iSES)

    • Year: 2022

Age Estimation from Speech Using Tuned CNN Model on Edge Devices

    • Authors: LK Durgam, RK Jatoth

    • Journal: Journal of Signal Processing Systems

    • Year: 2024

Age and Gender Estimation from Speech using various Deep Learning and Dimensionality Reduction Techniques

    • Authors: MPJJ Laxmi Kantham Durgam*, Ravi Kumar Jatoth, Daniel Hladek, Stanislav Ondas

    • Journal: Acoustics and Speech Processing at Speech analysis synthesis, Institute of

    • Year: 2024

 

Prithi Madhavan | Deep Learning | Best Researcher Award

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Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

PUBLICATION PROFILE

Orcid

Scopus

INTRODUCTION

🌟 MS. PRITHI MADHAVAN is a seasoned educator and researcher with over 12 years of experience in the field of computer applications, specializing in areas such as machine learning, deep learning, and artificial intelligence. With a strong academic background and hands-on experience in teaching, she has played a pivotal role in shaping the future of students through innovative teaching methods. Prithi’s professional journey reflects her dedication to excellence in both academia and technology. She is currently serving as the Head of the Department and Assistant Professor at Marudhar Kesari Jain College for Women, Vaniyambadi, Tamil Nadu.

EARLY ACADEMIC PURSUITS

🎓 MS. PRITHI MADHAVAN embarked on her academic journey with a Bachelor of Computer Applications (BCA) in 2010, followed by a Master of Computer Applications (MCA) in 2013. She later completed her Master of Philosophy (M.Phil) in 2014 and is currently pursuing her Ph.D. in Deep Learning, having submitted her thesis and awaiting the viva. Her academic excellence and passion for learning laid the foundation for her thriving career in higher education and research.

PROFESSIONAL ENDEAVORS

💼 WORK EXPERIENCE: With more than 12 years of experience, Prithi has contributed significantly to both teaching and administrative roles. She has been serving as the Head of the Department of Computer Applications and as an Assistant Professor at Marudhar Kesari Jain College for Women since June 2013. Additionally, Prithi has held leadership roles, including serving as the College and Career Coordinator, Board of Studies Member, and acting as a coordinator for various academic and extracurricular programs. She played a vital role in organizing the Smart India Hackathon 2022, where the college team made it to the finals in Sikkim.

CONTRIBUTIONS AND RESEARCH FOCUS

🔬 RESEARCH AND INNOVATION: Prithi is deeply involved in research, particularly in machine learning, deep learning, and artificial intelligence. She has contributed to various fields, including retail sector analytics, human resource management systems, and robotics. Her research papers have been published in reputed journals such as Springer, Scopus, and the International Journal of Intelligent Systems and Applications in Engineering. Her works focus on the application of AI in solving real-world problems, including customer information systems, speech emotion recognition, and churn detection in retail industries.

IMPACT AND INFLUENCE

🌍 ACADEMIC IMPACT: Prithi’s impact as an educator is evident through her commitment to providing quality education and shaping future leaders in the field of computer science. She has mentored over 20 postgraduate (PG) and 15 undergraduate (UG) students’ research projects. Additionally, her involvement in various national and international workshops, seminars, and conferences has allowed her to influence the broader academic community. She is recognized for her exceptional teaching skills, having achieved a perfect score of 100 for six students in her machine learning and AI courses.

ACADEMIC CITATIONS AND PUBLICATIONS

📚 SCHOLARLY WORK: Prithi has a significant presence in the academic world with a number of published papers and books. Her work has been cited in various scholarly journals, and she has an impressive academic record. She has also contributed to books on topics like machine learning, deep learning, and cyber security. Notably, her research on facial recognition and marketing analytics has garnered international attention. Her Google Scholar, ORCID, and Scopus profiles further showcase her contributions to academia.

HONORS & AWARDS

🏆 ACHIEVEMENTS AND RECOGNITIONS: Prithi has received several accolades throughout her career. Some notable honors include the Best Faculty Award from Educational Excellence Award in 2021, the Excellence Competencies in Education World Award, and the Greater Educator Award from TIP for Education. She was also recognized with the “Kural Semmal Virthu” from the Pasumal Foundation and has been honored by various academic institutions for her contributions to education and research.

LEGACY AND FUTURE CONTRIBUTIONS

🌱 LEADERSHIP AND VISION: Prithi’s future goals involve continuing her research in machine learning and deep learning while mentoring the next generation of computer science professionals. As an innovation ambassador and academic leader, she is dedicated to shaping educational policies and curriculum development that foster growth and creativity. Her leadership within the Institution’s Innovation Council (IIC) has helped the college achieve prestigious awards and recognition for its innovation efforts.

FINAL NOTE

💡 LOOKING FORWARD: As Prithi continues to shape the future of academia, her efforts are poised to leave a lasting impact on both the educational and technological landscapes. Her commitment to excellence in research, teaching, and innovation will undoubtedly inspire future generations of students and professionals in the field of computer science. Her journey is a testament to her passion for education, innovation, and making a difference in the world of academia and beyond.

 TOP NOTES PUBLICATIONS 

Utilizing Machine Learning for Speech Emotion Recognition

    • Authors: Prithi, M.; Sankari, M.; Shinde, J.P.; Kumar, R.; Deepak, A.; Pokhariya, H.S.; Shrivastava, A.

    • Journal: International Journal of Intelligent Systems and Applications in Engineering

    • Year: 2024

Churn Detection Using Machine Learning in the Retail Industry

    • Authors: Prithi Madhavan; K. Tamizharasi

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Revolutionizing Retail: Machine Learning Applications for Enhanced Customer Experience and Operational Efficiency

    • Authors: Prithi M; Tamizharasi K

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Using Artificial Intelligence and Deep Learning Methods to Analyze the Marketing Analytics and Its Impact on Human Resource Management Systems

    • Authors: Gambhir, V.; Asnate-Salazar, E.; Prithi, M.; Alvarado-Tolentino, J.; Tongkachok, K.

    • Journal: Communications in Computer and Information Science

    • Year: 2022

 

Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

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Dr. Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Imperial College London | United Kingdom

Publication Profile

Scopus

Orcid

Google Scholar

👨‍🔬 Summary

Dr. Benjamin H. W. Teo is a dedicated researcher with a focus on sustainable energy technologies, adsorption science, and additive manufacturing. Currently a UKRI Postdoctoral Fellow at Imperial College London, he explores solar technology performance and its integration with other renewable systems. Dr. Teo’s research also extends to polymer crystallization, Metal-Organic Frameworks (MOFs), and their applications in energy systems. With over 18 published journal articles and several international conference presentations, he has become a leading expert in his field, combining theoretical modeling with practical, industry-oriented solutions to address climate change.

🎓 Education

Dr. Teo completed his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore (2014-2019). His doctoral research focused on the green synthesis and modulation of MOFs to enhance water adsorption properties for cooling applications. Prior to this, he earned a Bachelor’s degree in Mechanical Engineering with First Class Honours from NTU (2011-2014), and a Diploma in Mechatronics from Temasek Polytechnic, Singapore (2006-2009).

💼 Professional Experience

Dr. Teo’s professional career has been marked by key roles in leading institutions. As a UKRI Postdoctoral Fellow at Imperial College London (Sep 2023 – Present), he investigates solar cell performance in combination with sustainable technologies and conducts advanced heat transfer simulations. From 2019 to 2023, he worked as a Research Fellow at Nanyang Technological University, leading studies on polymer crystallization in additive manufacturing and contributing to industry collaborations. He also held the role of Project Officer (2019) at NTU, where he conducted extensive research on water adsorption in MOFs and zeolites for cooling system applications.

📚 Academic Cites & Publications

Dr. Teo has contributed extensively to the academic community with 18 journal publications, including 10 as the first author. His work covers topics such as MOF-based adsorption cooling systems and additive manufacturing, with publications in prestigious journals like Applied Thermal Engineering and Journal of Industrial and Engineering Chemistry. His research has garnered significant attention, evidenced by citations in high-impact journals. He has also shared his findings at numerous international conferences, including as an invited keynote speaker.

🛠️ Technical Skills

Dr. Teo possesses a wide range of technical skills, including material characterization techniques like X-ray diffraction (XRD), BET nitrogen adsorption, and scanning electron microscopy (SEM). He is proficient in computational modeling, utilizing Grand Canonical Monte Carlo (GCMC) simulations, phase-field modeling, and thermodynamic frameworks via MATLAB. His expertise also extends to additive manufacturing, where he studies polymer crystallization, melt flow viscosity, and their implications for 3D printed materials.

👩‍🏫 Teaching Experience

Dr. Teo has a strong background in teaching, currently serving as a Graduate Teaching Assistant at Imperial College London (Apr 2024 – Present), where he leads revision lectures and tutorials on Fluid Mechanics. He also volunteered as a Tutor at Nanyang Technological University (Aug 2022 – May 2023), receiving exceptional student feedback. As a Research Mentor, he has guided over 30 students through their final-year projects, with many achieving high academic success. Additionally, he taught Gas Turbine Engine Labs and other courses during his time at NTU, earning recognition for his effective teaching.

🔬 Research Interests

Dr. Teo’s research interests include sustainable energy technologies, particularly solar photovoltaic systems and their integration with other green technologies. He is also deeply involved in additive manufacturing, especially in studying polymer crystallization and its impact on the mechanical properties of 3D printed materials. Additionally, his work in adsorption science focuses on the development of MOFs for water adsorption and cooling applications, aiming to enhance energy efficiency and contribute to climate change mitigation strategies.

📚 Top Notes Publications

Mesoscale simulations of spherulite growth during isothermal crystallization of polymer melts via an enhanced 3D phase-field model

    • Authors: Weidong Li, How Wei Benjamin Teo, Kaijuan Chen, Jun Zeng, Kun Zhou, Hejun Du

    • Journal: Applied Mathematics and Computation

    • Year: 2023

Investigation of polyamide 12 isothermal crystallization through the application of the phase‐field model

    • Authors: How Wei Benjamin Teo, Van Thai Tran, Kaijuan Chen, Kim Quy Le, Hejun Du, Jun Zeng, Kun Zhou

    • Journal: Polymers for Advanced Technologies

    • Year: 2023

Effects of build positions on the thermal history, crystallization, and mechanical properties of polyamide 12 parts printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: Virtual and Physical Prototyping

    • Year: 2022

Non-isothermal crystallization behaviour of polyamide 12 analogous to multi-jet fusion additive manufacturing process

    • Authors: H. W. B. Teo

    • Journal: Polymer

    • Year: 2021

Experimental and modeling investigation on the viscoelastic-viscoplastic deformation of polyamide 12 printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: International Journal of Plasticity

    • Year: 2021

Jiia Xu | Sociology | Best Researcher Award

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Prof. Jiia Xu | Sociology | Best Researcher Award

Anhui Normal University | China

PUBLICATION PROFILE

Scopus

👨‍🏫 Prof. Jiia Xu – Academic Profile

Prof. Jiia Xu is an esteemed academic from Anhui Normal University, China, specializing in social security, aging policies, and grassroots governance. With a Ph.D. in Philosophy (Social Security) from the University of Hamburg, Germany, Prof. Xu has dedicated his research to understanding the intersection of social policy, aging, and public health, both in China and globally.

📚 Education & Academic Journey

Prof. Xu completed his Ph.D. in Philosophy (Social Security) from the University of Hamburg, Germany (2013–2018), focusing on integrated research on aging policies and poverty risks in European welfare states. Prior to this, he earned his Master’s in Management (Social Security) from Northeast Normal University, China (2010–2012).

👨‍🏫 Academic Appointments

Since becoming an Associate Professor at Anhui Normal University, Prof. Xu has played a crucial role in teaching and mentoring the next generation of scholars. He specializes in courses such as Social Survey Methods & Practice, Social Security Fund Management, and Graduate Thesis Writing & Guidance (with bilingual instruction). Additionally, he leads interdisciplinary research teams, particularly on aging policies and social governance.

🔬 Research Leadership

Prof. Xu has served as the Principal Investigator (PI) on several significant projects funded by the National Social Science Fund. Notable projects include research on elderly care systems, historical studies on China’s social policies, and poverty risk mitigation for elderly women in rural China. These projects reflect his ongoing commitment to advancing the field of aging and social policy.

📖 Books & Publications

Prof. Xu authored the book “Ageing Policies and Poverty Risk in European Welfare States” (2019), which was published by China Commerce Press. This English monograph reflects his expertise in aging policies, poverty, and social welfare.

🏆 Awards & Honors

Throughout his career, Prof. Xu has earned several prestigious awards, such as the Emerging Scholar Award in 2022 from Ageing & Social Change, and recognition in Anhui Provincial Teaching Innovation and Smart Teaching Competitions, showcasing his excellence in both research and teaching.

💼 Professional Service & Advisory Roles

Prof. Xu has contributed his expertise as a Committee Member for Ageing & Social Change (International Research Committee) and served as an Expert Advisor for local governments and think tanks, advising on topics like social security policy, elderly care, and the political identity of overseas returnee scholars.

With a distinguished academic career and a passion for social governance and aging policies, Prof. Jiia Xu continues to influence both national and international discourse on social security and welfare systems.

📚 Top Notes Publications 

Living with technological challenges: Does socioeconomic status affect health?

    • Authors: Xu, J., Xia, C., & Ding, X.

    • Journal: BMC Geriatrics

    • Year: 2025

Care guilt and health status of female medical staff

    • Authors: Xu, J., & Xia, C.

    • Journal: International Journal for Equity in Health

    • Year: 2025

Global pandemic governance: A multilevel crisis management framework

    • Authors: Xu, J., Dai, W., & Pfau-Effinger, B.

    • Journal: International Journal of Disaster Risk Reduction

    • Year: 2024

Familial and extra-familial care integration: Lessons from Germany for China

    • Authors: Xu, J., Eggers, T., & Zhang, G.

    • Journal: International Journal of Social Welfare

    • Year: 2024

Spousal effects on women’s delayed retirement intentions

    • Authors: Xu, J.

    • Journal: Administration and Law

    • Year: 2021

Zafer Aslan | Atmospheric Science | Best Researcher Award

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Prof. Zafer Aslan | Atmospheric Science | Best Researcher Award

Istanbul Aydın University | Turkey

PUBLICATION PROFILE

Google Scholar 

Prof. Zafer Aslan⚡🌍

👩‍🏫 Summary

Prof. Zafer Aslan is a distinguished academic with a strong background in atmospheric sciences. She holds a Ph.D. from Istanbul Technical University and has extensive experience in international research, having visited top institutions like the University of Washington (USA) and ICTP (Italy). Currently, she serves as the Vice Rector and a Professor at Istanbul Aydın University, where she also leads international relations and research initiatives. With over 50 publications and extensive contributions to multiple academic journals, Prof. Aslan is a highly respected figure in her field.

🎓 Education

  • B.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1975)
  • M.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1981)
  • Ph.D. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1987)

💼 Professional Experience

Prof. Aslan’s career spans across various institutions in both academic and leadership roles:

  • Vice Rector & Professor at Istanbul Aydın University, Department of Computer Engineering (2009–Present)
  • Vice Dean at Kafkas University (1994–1997)
  • Vice Rector & Dean at Beykent University (1997–2004)
  • Teaching Member & Vice Director at Istanbul Commerce University (2004–2005)
  • She has also been involved with international organizations such as ICTP, where she held roles like Senior Associate and Project Coordinator.

📚 Academic Citations & Recognition

  • Over 50 publications in refereed journals.
  • Editor for 9 international journals.
  • Awarded the Paul Tissandier Award (2013) and the Simons Associate Award (2014) for her research contributions.
  • A member of notable organizations such as ICTP-OWSD and FAI-OSTIV.

🛠️ Technical Skills

Prof. Aslan’s expertise encompasses a wide range of disciplines:

  • Atmospheric Physics & Climatology
  • Renewable Energy, particularly Wind and Solar Energy Potential
  • Applied Mathematics and Data Mining techniques for research and analysis
  • Satellite Data applications in environmental research.

👨‍🏫 Teaching Experience

Prof. Aslan has guided numerous students at the Master’s and Ph.D. levels, with ongoing supervision of graduate theses in the fields of:

  • Atmospheric Sciences
  • Renewable Energy (Wind and Solar)
  • Machine Learning applications in environmental and engineering problems.

🔬 Research Interests ON Atmospheric Science

Her primary research interests include:

  • Atmospheric Convection & Thermal Soaring (related to aviation and meteorology)
  • Data Analysis in Atmospheric Sciences (e.g., using data mining and machine learning techniques for environmental modeling)
  • Contributions to Renewable Energy studies, especially regarding wind and solar energy potential in Turkey.

📚 Top Notes Publications

Article: Earth virtualization engines (EVE)

Author(s): B Stevens, S Adami, T Ali, H Anzt, Z Aslan, S Attinger, J Bäck, J Baehr, …
Journal: Earth System Science Data
Year: 2024

Article: Effects of climate change on soil erosion risk assessed by clustering and artificial neural network

Author(s): Z Aslan, G Erdemir, E Feoli, F Giorgi, D Okcu
Journal: Pure and Applied Geophysics
Year: 2019

Article: Rank determination of mental functions by 1D wavelets and partial correlation

Author(s): Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
Journal: Journal of Medical Systems
Year: 2017

Article: Harmonic analysis of precipitation, pressure, and temperature over Turkey

Author(s): Z Aslan, D Okcu, S Kartal
Journal: NUOVO CIMENTO-SOCIETA ITALIANA DI FISICA SEZIONE C
Year: 1997

Article: Global wind energy assessment of Turkey and a case study in the northwest

Author(s): Z Aslan, S Mentes, MA Yukselen, S Tolun
Journal: International Energy Symposium 21st Century, Istanbul
Year: 1994

Article: Güneş enerjisi potansiyelinin çoklu lineer regresyon ve yapay sinir ağları ile modellenmesi

Author(s): D Gabralı, Z Aslan
Journal: AURUM Journal of Engineering Systems and Architecture
Year: 2020