Minirani S | Graph Theory | Women Researcher Award

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Dr. Minirani S | Graph Theory | Women Researcher Award

Doctorate and NMIMS Deemed to be University Mumbai, India

Dr. Minirani S is a distinguished mathematician and educator with over two decades of experience in teaching, research, and academic leadership. She holds a Ph.D. in Mathematics from the National Institute of Technology, Calicut, and has an extensive teaching portfolio, having served in various academic institutions across India. Her research spans a wide array of mathematical disciplines, including Fractal Geometry and Complex Dynamics. Dr. Minirani has been recognized with numerous awards, including the Outstanding Woman in Science award by Venus International Women Awards and the Bharat Excellence Award in Mathematics. She is also an active member of several professional bodies, including the Ramanujan Mathematical Society and the American Mathematical Society. Her contributions to the field of mathematics have been widely acknowledged, as evidenced by her inclusion in the March 2024 edition of the magazine “Educador” under the column “Top Ten Professors.”

Profile
Education

Dr. Minirani S has a robust academic background in mathematics and oceanography. She completed her SSLC with distinction in 1992 and pursued Pre-Degree studies at Calicut University in 1994, securing a first-class with a focus on Physics, Chemistry, and Mathematics. She went on to achieve a B.Sc. in Mathematics from Calicut University in 1997 with an outstanding 94.3% and later obtained an M.Sc. in Oceanography from Cochin University of Science and Technology in 1999, earning first rank with distinction. Additionally, she earned another M.Sc. in Mathematics from Calicut University in 2006 with distinction, scoring 93.6%. Dr. Minirani also cleared the CSIR UGC-NET in Mathematics in 2009 and completed her Ph.D. in Mathematics, focusing on “Studies on Iterated Function Systems and Topology of Fractal Space,” from the National Institute of Technology, Calicut, in 2015.

Professional Experience

Dr. Minirani S is currently serving as an Associate Professor in Mathematics at the Department of BSH, MPSTME, SVKM’s NMIMS Mumbai Campus, a position she has held since April 2019. Prior to this, she was an Assistant Professor in Mathematics at the same institution from February 2017 to March 2019. Her extensive teaching career includes a decade-long tenure at Don Bosco Institute of Technology, Mumbai, as an Assistant Professor in Mathematics. She has also held the roles of Vice Principal and Lecturer at the Global Institute of Technology & Management (GITM) in Mumbai and has experience as a Subject Matter Expert in Mathematics with Praxis Technologies in Mumbai. Earlier in her career, Dr. Minirani worked as a Research Fellow on a project titled “Determination of Seawater Use Classification” at the National Institute of Oceanography, Kochi, Kerala.

In addition to her teaching roles, she has contributed significantly to academic administration, serving as an NBA Convenor, NAAC Coordinator, and Curriculum Restructuring Committee member, among other roles. She has also been actively involved in content development for UGC’s MooCs and DTH programs, and served as a course coordinator for SWAYAM.

Research Interests

Dr. Minirani S’s research interests are diverse and include Fractal Geometry, Complex Dynamics, Discrete Mathematics, Graph Theory, Epidemic Modelling, Data Analytics, and Quantum Computing. Her work primarily focuses on the mathematical modeling and analysis of complex systems, with applications ranging from theoretical mathematics to applied sciences.

Author Metric

Dr. Minirani S has authored and co-authored several research papers in national and international journals. Her work has been recognized at various academic conferences, where she has received accolades such as the Best Paper Award at the National Meet of Research Scholars, IITBHU in 2012. Additionally, she has contributed book chapters and served as a reviewer for several prestigious journals. Her research in mathematics, particularly in Fractal Geometry and Complex Dynamics, has garnered significant attention, with her publications being cited by peers in the field.

Conclusion

Dr. Minirani S is a highly accomplished mathematician and educator with a strong academic foundation and a broad spectrum of research interests. Her contributions to the field of mathematics, particularly in Fractal Geometry and Complex Dynamics, have been well recognized both nationally and internationally. With extensive teaching experience and active involvement in academic administration, she has made significant strides in advancing mathematics education and research. Dr. Minirani’s work continues to influence the field, and her numerous awards and professional memberships reflect her standing as a respected figure in the academic community. Her career serves as an inspiration to students and peers alike, demonstrating the impact of dedication and excellence in academia.

Publications Top Notes

1. Fractals, Wavelets, and their Applications: Contributions from the International Conference and Workshop on Fractals and Wavelets

  • Authors: C. Bandt, M. Barnsley, R. Devaney, K. J. Falconer, V. Kannan
  • Published by: Springer
  • Year: 2014
  • Citations: 7

2. Energy Attenuation of Sea Surface Waves Through Generation of Interface Waves on Viscoelastic Bottom as in the Mud Banks, SW Coast of India

  • Authors: S. Minirani, P. G. Kurup
  • Journal: Journal of Indian Geophysical Union (J. Indian Geophys. Union)
  • Year: 2007
  • Volume/Issue: 11, Pages 143-146
  • Citations: 6

3. On Zagreb Indices of Graphs with a Deleted Edge

  • Authors: M. Kale, S. Minirani
  • Journal: Annals of Pure and Applied Mathematics (Ann. Pure Appl. Math)
  • Year: 2020
  • Volume/Issue: 21(1), Pages 1-14
  • Citations: 5

4. Bounds for Dimension of the Attractor of a Scaled IFS

  • Authors: S. Minirani, S. Mathew
  • Journal: Asian-European Journal of Mathematics
  • Year: 2013
  • Volume/Issue: 6(02), Article 1350028
  • Citations: 4

5. On IFS Generating Super Self-Similar Sets

  • Authors: S. Minirani, S. Mathew
  • Journal: Mathematical Sciences International Research Journal (Math. Sci. Int. Res. J)
  • Year: 2012
  • Volume/Issue: 1(3), Pages 957-963
  • Citations: 4

 

 

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. 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