Manisha Bhende | Computer Engineering | Women Researcher Award

 

Dr Manisha Bhende | Computer Engineering | Women Researcher Award

Professor,Dr. D. Y. Patil Vidyapeeth,India

Dr. Manisha Bhende is a highly qualified and experienced academician with a Ph.D. in Computer Engineering and a career spanning more than two decades. Her leadership position and educational background strongly position her for a research-focused recognition. However, more details related to active research contributions, impact metrics, and specific research themes would make the case for this award more compelling.

Publication Profile

Education 🎓:

Dr. Manisha Bhende holds a Ph.D. in Computer Engineering from Savitribai Phule Pune University (2017), with her research focused on energy-efficient topology control algorithms in Wireless Sensor Networks. She also earned an M.E. in Computer Engineering (2007) from the same university and a B.E. from Government College of Engineering, Amravati (1998), where she graduated with First Class. She completed her higher secondary and secondary education with excellent scores of 77% and 85.57% respectively.

Work and Research Experience 💼:


With over 24 years of teaching experience, Dr. Bhende currently serves as Professor and Director In Charge at Dr. D. Y. Patil Vidyapeeth’s School of Science and Technology, Tathawade, Pune. She has previously worked as Professor at Marathwada Mitramandal’s Institute of Technology and held senior academic positions at various reputed institutions including Dr. D. Y. Patil Institute of Engineering Management and Research, D.Y. Patil College of Engineering, and Y.B. Patil Polytechnic. She has also served as a visiting faculty at SCIT, Hinjawadi.

Grants, Awards, and Fellowships 🏆:

Dr. Bhende was the Second Prize Winner at the CSI Regional Competition for “Young IT Professionals” (2006) and a Regional Winner of Avishkar Project Competition. Her innovative project on document security gained special recognition.

Skills 💻:

  • Wireless Sensor Networks, IoT, Mobile Computing, Embedded Systems
  • Machine Learning in Healthcare, Smart Systems, Topology Control Algorithms

  • Innovation Management, IP Commercialization, Research Supervision

Research Focus & Contributions:

 

Her doctoral research, supervised by Dr. Sanjeev Wagh, addressed critical issues in Wireless Sensor Networks with a focus on topology control and energy optimization. Her work has significantly contributed to domains such as sensor networks, embedded systems, mobile computing, and AI-based healthcare solutions.

Publication : 

Her research focuses on IoT, WSNs, network security, cloud computing, data science, and machine learning. She has authored and edited several books, including:Fundamentals of Data Science (CRC Press, 2021)

  • Energy Optimization Protocol Design for Sensor Networks in IoT Domains (CRC Press, forthcoming 2022)

  • Handbook of Research on Applied Intelligence for Health and Clinical Informatics (IGI Global, 2021)

  • Object Detection by Stereo Vision Images (Scrivener Publishing, Wiley, forthcoming 2022)

Dr. Bhende has published over 70 research papers, with notable works in healthcare applications using machine learning and deep learning techniques .​

conclusion:

Dr. Bhende is likely to be a commendable nominee for the Research for Women Researcher Award, especially if supported by a detailed research portfolio and evidence of impact. Providing this additional information could significantly enhance her chances of being selected.

Saba Inam | machine learning | Women Researcher Award

Dr.Saba Inam |machine learning| Women Researcher Award

Dr Saba InamFatima Jinnah women university, The Mall, Rawalpindi, Pakistan.

Dr. Saba Inam is a lecturer in the Department of Mathematical Sciences at Fatima Jinnah Women University in Rawalpindi, Pakistan. She earned her PhD in Algebraic Cryptography from the Capital University of Science and Technology, completing her studies between February 2014 and January 2019. Her research interests include Algebraic Number Theory, Algebraic Cryptography, Applied Cryptography, image encryption, Cloud Computing, Machine Learning, and Deep Learning. Dr. Inam has contributed to over 20 publications, accumulating 247 citations, and her work has garnered more than 3,367 reads. Notably, she co-authored the article “An efficient image encryption algorithm using 3D-cyclic Chebyshev map and elliptic curve,” published in November 2024.

Publication Profile

Google Scholar

Orcid

Education :

Dr. Saba Inam holds a PhD in Mathematics from Capital University of Science and Technology (CUST), Islamabad (2019). She completed her MS in Mathematics from COMSATS Institute of Information Technology, Islamabad, in 2007 with a CGPA of 3.6/4, achieving 1st Division. She earned her M.Sc. in Mathematics from Quaid-i-Azam University, Islamabad (2005), and her B.Sc. in Mathematics (Maths A, Maths B, Stats) from the University of the Punjab (2003), both with 1st Division.

Experience :

Dr. Inam has extensive academic and research experience. Since September 2007, she has been serving as a Lecturer in Mathematics at Fatima Jinnah Women University, Rawalpindi. She also held the position of Incharge, Department of Mathematical Sciences from August 2016 to January 2018. Before that, she worked as a Research Associate at COMSATS Institute of Information Technology, Islamabad, from March to August 2007.

Research Focus :

Dr. Inam’s research interests span across multiple domains, including:

Cryptography & Security: Algebraic Cryptography, Cryptology, CryptanalysisAI & Data Security: Image Encryption, Blockchain, IoT, Deep Learning, Machine LearningMathematical Sciences: Fluid Mechanics, Geometric Function Theory.

 

Awards:

Dr. Inam’s academic excellence has been recognized through various awards and honors:

Scholarship – Capital University of Science and Technology (CUST), Islamabad (2013-2018)Dean’s Roll of Honor – Received twice during PhD courseworkDiploma in Academic Excellence in Discrete Mathematics – Abdul Salam School of Mathematical Sciences, GC University, Lahore (2012)Scholarship – COMSATS Institute of Information Technology, Islamabad (2005-2007)

Skills:

Dr. Inam possesses expertise in:Programming & Computational Tools: Matlab, Python, Mathematica, APCoCoA, Scientific Workplace, LaTeXOffice & Documentation: Proficient in Microsoft Office Suite,Dr. Saba Inam continues to contribute significantly to the fields of cryptography, image encryption, and mathematical security frameworks, with a strong focus on deep learning and blockchain applications.

Publication :