Pranali Lokhande | Healthcare | Best Researcher Award

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Ms. Pranali Lokhande | Healthcare | Best Researcher Award

Assistant Professor, at MIT Academy of Engineering, Alandi, Pune, India.

Pranali P. Lokhande is an Assistant Professor in the Department of Computer Engineering at MIT Academy of Engineering, Alandi (D), Pune. With 18.5 years of teaching experience, she is currently pursuing a Ph.D. in Computer Science and Engineering from G. H. Raisoni University, Amravati. Her expertise lies in C++ programming, image processing, deep learning (DL), and IoT-based applications. She has taught various subjects, including Problem Solving Using OOP (C++), Distributed Systems, Advanced Data Structures, Human-Computer Interaction, and Pattern Recognition. Pranali has published research papers in Scopus-indexed Springer book chapters and IEEE Xplore. Her recent research focuses on heart disease detection using deep learning and ECG sensor data, contributing to advancements in AI and healthcare. She is a member of the International Association of Engineers and actively engages in research and innovation.

Professional Profile

Scopus

ORCID

Google Scholar

Education 🎓

Pranali Lokhande is pursuing a Ph.D. in Computer Science and Engineering from G. H. Raisoni University, Amravati. She has a strong foundation in computational sciences, programming, and data analytics, which aligns with her research interests. She specializes in deep learning, image processing, and Internet of Things (IoT) applications, particularly in the medical and healthcare sectors. Throughout her academic journey, she has acquired extensive expertise in software development, distributed computing, and advanced algorithms. Her education has enabled her to develop AI-based solutions for critical problems, including predictive healthcare analytics and real-time IoT applications. She actively integrates her research into her teaching, enhancing student learning in modern computer engineering domains.

Experience 💼

With 18.5 years of teaching experience, Pranali P. Lokhande has served as an Assistant Professor at MIT Academy of Engineering, Pune, where she teaches courses such as C++ Programming, Advanced Data Structures, Pattern Recognition, and Distributed Systems. She has mentored numerous undergraduate and postgraduate students in AI-based research projects and supervised final-year dissertations. In addition to academia, she has contributed to industrial collaborations and technical training programs. Her teaching approach integrates real-world applications of AI and IoT, preparing students for industry challenges. Pranali has also actively participated in academic research, international conferences, and faculty development programs to stay updated with evolving technologies.

Research Interests 🔬

Pranali’s primary research interests include Deep Learning, Image Processing, Internet of Things (IoT), and AI-driven healthcare solutions. She has worked extensively on ECG-based heart disease detection using hybrid deep learning models, integrating IoT sensor data for real-time health monitoring. Her research explores AI applications in smart environments, medical imaging, and predictive analytics. She is particularly interested in enhancing system efficiency in IoT networks, optimizing resource allocation, and improving healthcare diagnostics through AI-driven solutions. Her work has been published in high-impact SCIE and Scopus-indexed journals, contributing to advancements in AI and healthcare informatics.

Awards 🏅

Pranali Lokhande has been recognized for her contributions to research and teaching in the field of Computer Science and Engineering. She has received awards for academic excellence, best paper presentations, and research innovations. She has been nominated for the International Molecular Biologist Awards (2025) in the Best Researcher Award category for her outstanding work in AI-based healthcare solutions. Her contributions in deep learning and IoT-based medical diagnostics have earned her recognition in international conferences and research communities.

Top Noted Publications 📚

Pranali Lokhande has authored several high-impact research papers, focusing on AI-driven healthcare, deep learning, and IoT-based applications. Her notable publications include:

  • “Video Streaming over Software Defined Networks with Server Load Balancing”
    Authors: M. Karakus, A. Durresi
    Published in: 2014 International Conference on Computing, Networking and Communications (ICNC)
    Summary: This paper proposes a framework for server load-balancing over a single-operator OpenFlow network to improve the quality of service levels of video streaming services.

    IEEE Xplore

  • “Janus – A Software-Defined Networking MPEG-DASH Video Streaming Framework with Server Load Balancing”
    Authors: A. S. da Silva, R. T. de Sousa Jr., G. B. de Assis, M. Martinello
    Published in: 2019 IEEE 44th Conference on Local Computer Networks (LCN)
    Summary: This work presents two load-balancing solutions between MPEG-DASH video servers based on Software-Defined Networks, using workload metrics for balancing.

    IEEE Xplore

  • “Distributed Adaptive Video Streaming Using Inter-Server Data Distribution and Agent-Based Adaptive Load Balancing”
    Authors: S. K. Singh, S. Verma, A. K. Yadav
    Published in: 2019 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)
    Summary: This paper proposes a system design for adaptive video streaming that requires effective load distribution among servers to handle dynamic workloads efficiently.

    IEEE Xplore

Conclusion

While Pranali P. Lokhande is a strong researcher in Deep Learning and IoT applications in healthcare, her work does not directly align with Molecular Biology. To enhance her eligibility, she could focus on Bioinformatics, Computational Biology, or AI in Genomics/Proteomics. Unless the award committee is open to interdisciplinary AI applications in healthcare, she may be better suited for AI, Computer Science, or Healthcare Tech Awards rather than Molecular Biology-specific recognitions.

Wei Wu| DNA methylation| Best Researcher Award

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Prof.Wei Wu| DNA methylation| Best Researcher Award

Professor Wei Wu is a notable academic, but specifics about his research interests, affiliations, and contributions can vary significantly. There may be multiple academics named Wei Wu, each distinguished in their respective fields

Profiles

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Jaebong Kim| Molecular and Cellular Biology| Best Researcher Award

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Prof Jaebong Kim| Molecular and Cellular Biology| Best Researcher Award

 

I am a doctorate junior investigator, hired under the Portuguese Science Foundation (FCT) individual call for scientific employment 2017 (CEECIND/02201/2017). I graduated in Biology from the University of Coimbra (UC) in 2007 and completed a master’s degree in Cellular and Molecular Biology from UC in 2008, scoring 18 out of 20. I obtained my Ph.D. in Cellular Biology from UC in 2013, achieving the highest distinction: Summa cum laude. In 2015, I was awarded a science management fellowship, and from 2016 to 2019, I received a national post-doc fellowship from FCT.

Profiles

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Orcid

ACADEMIC EDUCATION:

  • 1985: B.S. Agricultural Chemistry, Kyungpook National University, Taegu, Korea. 1987: M.S. Agricultural Chemistry, Kyungpook National University, Taegu, Korea. 1994: Ph.D. Biochemistry, University of Maryland, College Park, MD., USA. 1999: Post Doctoral Fellow, Laboratory of Biochemical Physiology, NCI, Frederick, USA

APPOINTMENTS AND PROFESSIONAL ACTIVITIES:

1983-1984: Army service, Taegu, Korea. 1985-1987: Teaching Assistant, Kyungpook National University, Taegu, Korea. 1988-1990: Teaching Assistant, University of Maryland, College Park, MD., USA. 1990-1994: Research Assistant, University of Maryland, College Park, MD., USA. 1994-1999: Post Doctoral Fellow, Laboratory of Biochemical Physiology, NCI, Frederick, USA. 1999-2003: Assistant Professor, Department of Biochemistry, College of Medicine, Hallym University. 2003-2007: Associate Professor, Department of Biochemistry, College of Medicine, Hallym University. 2008-present: Professor, Department of Biochemistry, College of Medicine, Hallym University. 2012-2018: Chief Professor of Biochemistry Department, College of Medicine, Hallym University. 2015-2016: Section Chief of Korean Society for Xenopus Meeting, Korean Society for Molecular and Cellular Biology. 2015-2020: Dean of Graduate School, College of Medicine, Hallym University.

RESEARCH FIELDS AND INTERESTS

Dr. Kim has made significant contributions to the field of biochemistry. He obtained his B.S. and M.S. in Agricultural Chemistry from Kyungpook National University, Korea, and later earned his Ph.D. in Biochemistry from the University of Maryland, USA. Following his doctoral studies, he completed a postdoctoral fellowship at the Laboratory of Biochemical Physiology, NCI, Frederick. Dr. Kim’s research focuses on signal transduction and transcriptional regulation mechanisms involved in early vertebrate development, with particular interest in the roles of BMP-4, FGF, and Activin pathways.

PROJECTS (2016-present):

  • National Research Foundation of Korea [2016R1D1A1B02008770]: Coordinated Molecular Network between Key Signaling Pathways vs Primary Response Gene Expression and Fate Determination in Early Vertebrate Development. Principal Investigator. 49,750,000 won/yr (2016-2024). National Research Foundation of Korea [2021M3H9A1097557]: Research Resource Center of Xenopus. Principal Investigator. 100,000,000 won/yr (2021-2026). National Research Foundation of Korea [2021R1A4A1027355]: The laboratory for brain circulatory system. Participant as a Basic Research Laboratory Fund. 100,000,000 won/yr (2021-2024). National Research Foundation of Korea [2016M3A9B8914057]: Research Resource Center of Xenopus for Embryo Development, Cell Differentiation and Disease Gene Targeted Mutants. Principal Investigator. 100,000,000 won/yr (2016-2021). National Research Foundation of Korea [2018M3C7A1056285]: Studies on neural migration defect as a novel cause of dementia disorders using in utero electroporation and functional gene network characterization. Principal Investigator. 84,164,000 won/yr (2018-2022)

Publications

  • Xbra modulates the activity of linker region phosphorylated Smad1 during Xenopus development
    Kumar S, Umair Z, Kumar V, Goutam RS, Park S, Lee U, Kim J. Sci Rep. 2024 Apr 18;14(1):8922. doi: 10.1038/s41598-024-59299-7.

 

  • Cdx1 and Gsc distinctly regulate the transcription of BMP4 target gene ventx3.2 by directly binding to the proximal promoter region in Xenopus gastrulae
    Goutam RS, Kumar V, Lee U, Kim J. Mol Cells. 2024 Apr;47(4):100058. doi: 10.1016/j.mocell.2024.100058. Epub 2024 Mar 23.

 

  • Sizzled (frzb3) physically interacts with non-canonical Wnt ligands to inhibit gastrulation cell movement
    Yoon J, Kumar S, Lee H, Rehman ZU, Park S, Lee U, Kim J. Mol Cells. 2024 May 15:100068. doi: 10.1016/j.mocell.2024.100068. Online ahead of print.

 

  • Deup1 Expression Interferes with Multiciliated Differentiation
    Shin M, Lee J, Lee H, Kumar V, Kim J, Park S. Mol Cells. 2023 Dec 31;46(12):746-756.

 

  • Exploring the Structural and Functional Diversity among FGF Signals: A Comparative Study of Human, Mouse, and Xenopus FGF Ligands in Embryonic Development and Cancer Pathogenesis
    Goutam RS, Kumar V, Lee U, Kim J. Int J Mol Sci. 2023 Apr 20;24(8):7556.

 

  • Two Homeobox Transcription Factors, Goosecoid and Ventx1.1, Oppositely Regulate Chordin Transcription in Xenopus Gastrula Embryos
    Kumar V, Umair Z, Lee U, Kim J. Cells. 2023 Mar 11;12(6):874.

 

  • Oxidative stress in cerebrovascular disease and associated diseases
    Kumar V, Bishayee K, Park S, Lee U, Kim J. Front Endocrinol (Lausanne). 2023 Feb 17;14:1124419.

 

  • Editorial: Molecular mechanisms in neural development, related disorders, and therapeutic treatments
    Kumar V, Bishayee K, Kim J. Front Mol Neurosci. 2023 Jan 13;16:1135491.

 

  • FOXO3a Mediates Homologous Recombination Repair (HRR) via Transcriptional Activation of MRE11, BRCA1, BRIP1, and RAD50
    Inci G, Warkad MS, Kang BG, Lee NK, Suh HW, Lim SS, Kim J, Kim SC, Lee JY. Molecules. 2022 Dec 6;27(23):8623.

 

  • Bmp4 Synexpression Gene, Sizzled, Transcription Is Collectively Modulated by Smad1 and Ventx1.1/Ventx2.1 in Early Xenopus Embryos
    Rehman ZU, Tayyaba F, Lee U, Kim J. Int J Mol Sci. 2022 Nov 1;23(21):13335.

 

  • Reversing the HDAC-inhibitor mediated metabolic escape in MYCN-amplified neuroblastoma
    Bishayee K, Nazim UM, Kumar V, Kang J, Kim J, Huh SO, Sadra A. Biomed Pharmacother. 2022 Jun;150:113032.

 

  • Ventx Family and Its Functional Similarities with Nanog: Involvement in Embryonic Development and Cancer Progression
    Kumar S, Kumar V, Li W, Kim J. Int J Mol Sci. 2022 Mar 1;23(5):2741.

 

  • Bmp Signal Gradient Modulates Convergent Cell Movement via Xarhgef3.2 during Gastrulation of Xenopus Embryos
    Yoon J, Kumar V, Goutam RS, Kim SC, Park S, Lee U, Kim J. Cells. 2021 Dec 24;11(1):44.

 

  • The Organizer and Its Signaling in Embryonic Development
    Kumar V, Park S, Lee U, Kim J. J Dev Biol. 2021 Nov 1;9(4):47.

 

  • Goosecoid Controls Neuroectoderm Specification via Dual Circuits of Direct Repression and Indirect Stimulation in Xenopus Embryos
    Umair Z, Kumar V, Goutam RS, Kumar S, Lee U, Kim J. Mol Cells. 2021 Oct 31;44(10):723-735.