Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

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Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Associate Professor at Electrical Engineering , Princess Nourah bint Abdulrahman University , Saudi Arabia

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  1. Ph.D. in Electrical Engineering (2011) – Department of Electrical Engineering, Jamia Millia Islamia (A Central University) in New Delhi, India. Her thesis was titled “Design & Development of Computer-based Biophysical Model for Diagnosing Pulmonary Edema.”
  2. Master of Technology in Electrical Engineering with specialization in Instrumentation & Control (2003) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India. Her dissertation focused on the “Design of Sub-optimal Controller for Linear Time Invariant System incorporating Sensitivity Considerations.”
  3. Bachelor of Engineering in Electrical Engineering (1998) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India.

Shabana Urooj ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2123, Since 2018: 1488
  • Citations: 2123 (All), 1488 (Since 2018)
  • h-index: 24 (All), 20 (Since 2018)
  • i10-index: 64 (All), 44 (Since 2018)

These metrics showcase the impact of Urooj ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Research Area(s) & Interests:

Computer-Based Diagnosis of Chronic Diseases and Bio-Medical Instrumentation: Dr. Urooj’s expertise includes the development of computer-based models for diagnosing chronic diseases, particularly in the field of bio-medical instrumentation. Her work likely involves the use of computational tools and techniques to analyze medical data and aid in the diagnosis and monitoring of chronic conditions. Optimization & Control, WSN, BAN: Dr. Urooj’s research interests extend to optimization and control systems, as well as Wireless Sensor Networks (WSN) and Body Area Networks (BAN). This expertise suggests involvement in designing and implementing control algorithms, optimizing system performance, and working with wireless communication technologies in healthcare applications. Material Research, Nanomaterials for Engineering Applications: Dr. Urooj is also engaged in material research, particularly in the area of nanomaterials for engineering applications. Her work likely involves the synthesis, characterization, and application of nanomaterials in various engineering fields, such as electronics, materials science, or biomedical engineering.

Teaching Experience:

Associate Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (since 15th September 2019): In her current role, Dr. Urooj serves as an Associate Professor, likely contributing to the academic and research activities of the College of Engineering at Princess Nourah bint Abdulrahman University. Assistant and Associate Professor at the Department of Electrical Engineering, Gautam Buddha University, Gr. Noida, UP, India (6th July 2011 to 13th Sep 2019): Dr. Urooj previously worked as both an Assistant and Associate Professor at Gautam Buddha University. She also served as the Head of the Department of Electrical Engineering from 1st August 2018 to September 2019, demonstrating leadership and administrative skills in addition to her teaching and research responsibilities. Associate Professor at the Department of Electronics & Instrumentation Engineering, Galgotias College of Engineering and Technology, Gr. Noida, UP, India (31st July 2009 to 5th July 2011): Prior to her tenure at Gautam Buddha University, Dr. Urooj worked as an Associate Professor at Galgotias College of Engineering and Technology, where she likely contributed to the academic and research activities of the Department of Electronics & Instrumentation Engineering.

MEMBESRSHIP COUNCILS/COMMITTEES:

• Director: College of Engineering Club- 2022-23, 2023-24
• Member of M. Sc Program in collaboration with Essex University UK.
• Member of B. S IoT in collaboration with College of Computer Science.
• General Co-Chair CCAML2024 Committee
• Track Chair (Special Session) IEEE APSCON 2024

Publications:

Fuzzy clustering algorithm for enhancing reliability and network lifetime of wireless sensor networks

  • Published in Energy in 2020 with 1150citations.

Entropy index in quantitative EEG measurement for diagnosis accuracy

  • Published in Energy in 2013 with 83 citations.

A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors

  • Published in Energy in 2013 with 62 citations.

A composite wavelets and morphology approach for ECG noise filtering

  • Published in Energy in 2013 with 56 citations.

Strategies, current status, problems of energy and perspectives of Yemen’s renewable energy solutions

  • Published in Energy in 2018 with 53 citations.

An improved CAD system for breast cancer diagnosis based on generalized pseudo-Zernike moment and Ada-DEWNN classifier

  • Published in Energy in 2016 with 52 citations.

Non-linear polynomial filters for edge enhancement of mammogram lesions

  • Published in Energy in 2016 with 49 citations.

Human visual system based unsharp masking for enhancement of mammographic images

  • Published in Energy in 2017 with 48 citations.

 

Dr. GENGXIN ZHANG | Mechanical Engineering | Best Researcher Award

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Dr. GENGXIN ZHANG | Mechanical Engineering | Best Researcher Award

Associate Professor at Mechanical Engineering , University of Birmingham ,United Kingdom

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Gengxin Zhang is currently serving as a Research Assistant in Mechanical Engineering at the University of Birmingham, UK, a position he has held since November 2022. Prior to this role, he pursued his Ph.D. in Mechanical Engineering at Hiroshima University, Japan, from October 2019 to September 2022, under the guidance of Prof. Keiya Nishida. Dr. Zhang’s academic journey also includes an M.S. in Mechanical Engineering from Yanshan University, China, completed from September 2016 to June 2019, and a B.S. in Mechanical Engineering from Henan University of Science and Technology, China, obtained from September 2012 to June 2016.

Experience:

In 2018, Dr. Gengxin Zhang held the position of Technical Consultant in the Powertrain Design Department at Sijiate Special Vehicle Manufacturing Co., Ltd. During this role, he was responsible for designing and troubleshooting hydraulic circuits. Subsequently, from June 2019 to September 2019, he worked as a Design Engineer in the New Energy Vehicle Division at AVIC Optoelectronics Technology Co., Ltd. In this role, he focused on designing quick-charging connectors and battery powertrain connectors.

Research Fields:

Dr. Gengxin Zhang is a member of the Japan Society of Mechanical Engineers (JSME). His research focuses on the following fields:

  1. Optical Diagnostics for Spray and Combustion
  2. Clean Combustion and Pollutant Emission Control
  3. Computational Fluid Dynamics (CFD) Modeling and Simulation

Awards:

In 2019, Dr. Gengxin Zhang achieved several notable recognitions in Hebei Province, including being named an Outstanding Graduate and a Merit Student (Three Good: good in study, attitude, and health). Furthermore, his Master’s thesis received the honor of being recognized as an Excellent Master’s Thesis of Hebei Province. In 2020, he was awarded the China Scholarship Council (CSC) Scholarship. His accomplishments culminated in 2023 when he received the prestigious Global Young Scientist Award.

Publications:

Similarity and normalization study of fuel spray and combustion under ultra-high injection pressure and micro-hole diameter conditions–spray characteristics

The effect of split injection on fuel adhesion characteristics under static flow and cross-flow field conditions

A Study on the Dynamic Collision Behaviors of a Hydrous Ethanol Droplet on a Heated Surface

Experimental Study on the Adhesive Fuel Features of Inclined Wall-Impinging Spray at Various Injection Pressure Levels in a Cross-Flow Field

Ignition timing effect on the combustion performance of hydrogen addition in methane fermentation gas in a local energy system

Characterization of diesel spray combustion using two-color pyrometry and OH∗ chemiluminescence imaging- comparison between micro-hole and ultra-high injection pressure effects

Investigation on fuel adhesion characteristics of wall-impingement spray under cross-flow conditions

RIM Experiment on Fuel Adhesion Characteristics of Inclined-Wall-Impinging Spray under Cross-Flow Conditions

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

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Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

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Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.

Dr. Ali Jahedsaravani | Electrical Engineering | Best Scholar Award

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Dr. Ali Jahedsaravani : Leading Researcher in Electrical Engineering

Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.

Areas of Interest:

  1. Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
  2. Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.

Publications:

Measurement of bubble size and froth velocity using convolutional neural networks

Prediction of Froth Flotation Performance Using Convolutional Neural

Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning

Flotation froth image classification using convolutional neural networks

Machine vision based monitoring and analysis of a coal column flotation circuit

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Development of a machine vision system for real-time monitoring and control of batch flotation process

Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process

 

 

Assist Prof Dr. Avdhoot Walunj | Mechanical Engineering

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Assist Prof Dr. Avdhoot Walun : Leading Researcher in Mechanical Engineering

Assistant Professor of Mechanical at Heat exchangers, Mahatma Phule Krishi Vidyapeeth, Rahuri ,India

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

My academic journey has been marked by a steadfast pursuit of knowledge and excellence. Commencing with my Secondary School Certificate (S.S.C) from Pune, I achieved an impressive 87.20% in 2006, laying a strong foundation for my educational endeavors. Progressing to my Higher Secondary Certificate (H.S.C.) in Science, I continued to excel with a notable 78.80% in 2008.

My passion for mechanical engineering led me to pursue a Bachelor’s degree in Mechanical Engineering from the University of Pune, where I achieved a commendable grade of 65.50% upon completion in 2012. Building on this foundation, I further specialized in the field of Mechanical Engineering with a focus on Heat Power, earning a Master’s degree (M.E.) from Savitribai Phule Pune University with a remarkable grade of 7.58 in 2014. Driven by a commitment to advanced research, I undertook a Doctorate in Mechanical Engineering at the National Institute of Technology Karnataka, Surathkal. Graduating in 2019, my Ph.D. journey culminated with a noteworthy grade of 7.25, reflecting both my dedication to the field and the depth of knowledge acquired throughout my academic pursuits. These academic achievements collectively represent my continuous pursuit of excellence in mechanical engineering and my commitment to scholarly endeavors.

Academic Project:

My academic journey has been characterized by a focused exploration of mechanical engineering, culminating in significant research contributions across various domains. In my Bachelor’s degree (B.E.), I conducted an Experimental Analysis of the Tribological Behavior of TiCN, Tin, and Hardchrome coatings. This study delved into the intricate details of surface coatings, particularly their tribological characteristics, providing valuable insights into material performance and durability. Building upon my undergraduate research, my Master’s degree (M.E.) focused on the Performance of Inclined Narrow Plate-fin Heat Sink under Free Convection Heat Transfer. Investigating the thermal behavior of inclined narrow plate-fin heat sinks, this research aimed to enhance our understanding of heat dissipation mechanisms, critical for applications in electronic cooling and thermal management.

Reviewer of the Journal/Conference:

The dissemination of research findings is crucial for contributing to the scientific discourse, and my work has been showcased in reputable journals and conferences. My research has been published in the following journals and presented at conferences. These platforms have provided a robust framework for sharing my contributions to the fields of nuclear engineering, heat transfer, and fluid dynamics. The publications in these journals and participation in the Thermal and Fluids Engineering Conference underscore my commitment to engaging with the wider scientific community and advancing knowledge in these specialized domains.

Editorial Board Member of the Journal:

My research endeavors have found expression in esteemed journals, reflecting a dedication to advancing knowledge in the realm of mechanical engineering and energy harvesting. Published in the “Journal of Harvesting Energy” with the ISSN 2583-3197, my work contributes to the discourse on harnessing energy, a critical aspect in sustainable technology development. Furthermore, my research findings have been featured in the “International Journal of Mechanical Engineering and Applications,” identified by the ISSN 2330-0248. This journal serves as a platform for disseminating insights and innovations in mechanical engineering, providing a channel to share my contributions with the broader academic and professional communities.

Avdhoot Walunj citation metrics and indices from Google Scholar are as follows:

Cited by: All: 241, Since 2018: 217
Citations: 241 (All), 217 (Since 2018)
h-index: 7 (All), 6 (Since 2018)
i10-index: 4 (All), 4 (Since 2018)

PUBLICATIONS:

1.Applications of Nanotechnology to Enhance the Performance of the Direct Absorption Solar Collectors

  • Published in Energy Conversion and Management in 2016 with 86 citations.

2.Comparative Study of Pool Boiling Heat Transfer from Various Microchannel Geometries

  • Published in Energy Conversion and Management in 2017 with 74 citations.

3.Bubble Dynamics and Enhanced Heat Transfer During High-Pressure Pool Boiling on Rough Surface

  • Published in Energy Conversion and Management in 2018 with 14 citations.

4.Transient CHF enhancement in high pressure pool boiling on rough surface

  • Published in Energy Conversion and Management in 2018 with 14 citations.

5.Review of Performance of Rectangular Fins under Natural Convection at Different Orientation of Heat Sink

  • Published in Energy Conversion and Management in 2014 with 9 citations.