Yadvendra Pratap Singh – Biological Networks – Best Researcher Award

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Yadvendra Pratap Singh – Biological Networks

Dr. Yadvendra Pratap Singh distinguished academic and researcher in the field  Biological Network. He is committed to providing students with exceptional education and training to foster their understanding of subject areas and enhance their critical-thinking abilities. His focus extends to research, teamwork, mentoring, and service. With primary research interests spanning Web-GIS, GIS and Remote Sensing, as well as Image Processing, he also delves into the realms of Machine Learning and Deep Learning. He ensures that all information provided in his CV is true to the best of his knowledge, reflecting his dedication to integrity and professionalism.

 

🌐 Professional Profiles

Educations: 📚🎓

  • He completed his educational journey with distinction, earning a Ph.D. in CSE/Geoinformatics from Motilal Nehru National Institute of Technology in Allahabad, Prayagraj, Uttar Pradesh, in October 2019. Prior to this, he obtained his M.Tech. in CSE/Geoinformatics from the same institute in June 2013. Building upon his academic foundation, he pursued a B.Tech. in Information Technology from Uttar Pradesh Technical University in Lucknow, Uttar Pradesh, graduating in June 2008. His academic pursuits began with Intermediate studies in PCM, and he laid the groundwork for his educational path with a High School degree in Science, both accredited by the U.P. Board and completed in June 2003 and June 2001, respectively.

 EXPERIENCE

He has amassed a wealth of experience in academia, culminating in his current position as Assistant Professor (Senior Scale) in CSE(AIML) at Manipal University Jaipur, where he has been since July 2022. Prior to this role, he served as an Assistant Professor in CSE-AIML at Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, from December 2021 to July 2022. His dedication to teaching and research is evident in his tenure as an Assistant Professor in the Department of Computer Science & Engineering at Galgotias University, Greater Noida, Uttar Pradesh, from July 2018 to December 2021. Earlier in his career, he contributed as a Lecturer in the Computer Science & Engineering department at C.S.M. College of Engineering and Technology/UPTU in Allahabad, Uttar Pradesh, from January 2009 to April 2010. Through these roles, he has demonstrated a commitment to academic excellence and the development of future professionals in the field of computer science and engineering.

 

Administrative Leadership Positions, Nucleus Team Member or Committee Service

He actively engages in administrative leadership and committee service, demonstrating his commitment to organizational growth and development. Currently, he serves as a Nucleus member of the E-Cell at CSE(AIML) and Manipal University Jaipur, Jaipur, Rajasthan, a role he has held since 2023. Additionally, he contributes to the Budget Committee for CSE(AIML) at the same institution, demonstrating his involvement in financial planning and decision-making processes. In previous years, he played a crucial role as a member of the NBA Committee for CSE at Galgotias University, Greater Noida, Uttar Pradesh, during the academic year 2019-2020. Through these leadership positions and committee memberships, he actively contributes to the strategic initiatives and operational excellence of the academic institutions he is associated with.

 

Honors and Prizes

He has garnered recognition for his contributions in both academic and extracurricular spheres. Notably, in March 2023, his collaborative work on “Language Detection Using Natural Language Processing,” authored alongside Y. Rajanak and R. Patil, earned them the Best Paper Award at the 9th International Conference on Advanced Computing and Communication Systems (ICACCS) held in Coimbatore. This accolade underscores his proficiency and innovation in the field of computer science. Furthermore, his leadership abilities were acknowledged earlier in February 2013 when he received the Best Coordinator award at the 47th Annual Athletic Meet at MNNIT Allahabad, Prayagraj. These achievements reflect his multifaceted talents and dedication to excellence in both academic research and event coordination.

Completed and Ongoing Projects
2015 Vehicle routing and scheduling in solid waste collection systems using GIS
Technology Team Members: Prof. (Dr.) A.K. Singh , Yadvendra Pratap Singh
Innovative research project grant under TEQIP-II of Rs. 3,00,000.00
(link: http://mnnit.ac.in/teqip/?page_id=87) ( Status : Completed)
Thesis
Undergraduate Senior Thesis: Online Hospital Management System, United College of
Engineering and Research Allahabad, 30/05/2008
Master’s Thesis: Geospatial Database Development for Zoning of Waste Water Drainage of
Allahabad city., Prof. (Dr.) D.K.Yadav and Prof( Dr.) R. P. Singh,
Motilal Nehru National Institute of Technology Allahabad, 22/06/2013
4
Doctoral Dissertation: Web-GIS Based Municipal Solid Waste Management System,
Prof. (Dr.) A.K. Singh and Prof. (Dr.) R.P. Singh,
Motilal Nehru National Institute of Technology Allahabad (M.N.N.I.T.) Allahabad, 26/03/2019

Peer Reviewed Journal Publications

1. Gangrade S., Sharma P.C., Sharma A.K, Singh Y.P.(2024)”Modified DeeplabV3+ with multi-level
context attention mechanism for colonoscopy polyp segmentation” ,Computers in Biology and
Medicine,Volume 170,2024,108096,ISSN 0010-4825,
https://doi.org/10.1016/j.compbiomed.2024.108096.
2. Kumar, A.,Singh, Y.P.,Gupta, A.,Bhagat, M. (2022) “A Deep Neural Network for Classification of
Land Use Satellite Datasets in Mining Environments” Journal of Mining and Environment.
DOI: 10.22044/jme.2022.12262.2224
3. Singh, Y.P., Singh, R.P., Singh, A.K., Yadav, D.K. (2015), “Using GIS and Remote Sensing Technique
for Zoning of Wastewater Drainage of Allahabad City”, International Journal of Advanced Remote
Sensing and GIS, Vol 4, No 1 (2015), pp. 1419-1434
4. Singh, Y. P., Singh, A. K., & Singh, R. P. (2016). Web-GIS based Framework for Solid Waste
Complaint Management for Sustainable and Smart City. International Journal of Advanced
Remote Sensing and GIS, Vol 5, No 10 (2016), pp. 1930-1936

Workshops/FDP and Conferences Attended

1. STC on “Effective Teaching Learning using Social Media” held on 05/06/2023 to 09/06/2023
at NITTTR, Chandigarh
2. One Week Online Faculty Development Programme on “Big Data and Analytics” held on
03/04/2023 to 07/04/2023 at Dr B R Ambedkar National Institute of Technology Jalandhar.
3. workshop on “Effective Teaching-Learning Environment using ICT Tools held on 19/12/2022
to21/12/2022 at Manipal University Jaipur
4. Implications of Outcome Based Learning Pedagogy in Higher Education held on12/12/2022 to
16/12/2022 at Manipal University Jaipur
5. One week FDP on “MATLAB for Engineering Applications” held on 18/04/2022 to 22/04/2022,
at

Publications

Rayhane Sadeghi – Network Visualization- Women Researcher Award

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Rayhane Sadeghi – Network Visualization

Ms.  Rayhane Sadeghi distinguished academic and researcher in the field  Network Visualization. Her research interests lie at the intersection of physics and computer science, with a focal point on machine learning and its applications in solar physics research and astronomy. She is particularly intrigued by the dynamic behavior of the Sun and its implications for space weather and our comprehension of the universe.

 

🌐 Professional Profiles

Educations: 📚🎓

She pursued her academic journey in Physics with a specialization in Plasma from 2019 to 2022 at Payam e Noor University and Amirkabir University of Technology in Tehran, Iran. Her thesis focused on investigating the dynamic behavior of solar chromospheric bright points within network Python frameworks and internetwork Energy Engineering-Radiation applications. Prior to her M.Sc, she completed her undergraduate studies from 2010 to 2014 at the Karaj Branch of Islamic Azad University in Iran, majoring in Electrical Engineering-Electronics. Her thesis during this period explored the application of wavelet transform in power quality evaluation, blending mathematics and physics. Before her undergraduate studies, she attended the National Organization for Development of Exceptional Talents (NODET) from 2003 to 2010 in Karaj, Iran.

Research Fields:

One area of particular interest to her is the utilization of machine learning techniques to analyze data from the IRIS and HINODE spacecraft. These missions have bestowed unprecedented views of the Sun’s atmosphere, generating vast datasets exploitable for studying a myriad of phenomena, from magnetic reconnection events to coronal loop dynamics. Additionally, she harbors curiosity about amalgamating physics and computer science in diverse research realms, such as formulating new algorithms for astronomical data analysis or employing machine learning to model intricate physical systems.

Within the realm of solar physics, she aims to delve into various topics, encompassing the mechanisms propelling the Sun’s magnetic field, the characteristics of solar flares and coronal mass ejections, and the interplay between the solar wind and the Earth’s magnetosphere. Through the development of novel tools and techniques for scrutinizing solar data, she aspires to enrich our comprehension of these phenomena and contribute to the broader expanse of space science.

In sum, she is eager to pursue a PhD in this domain and collaborate with leading researchers to craft innovative methods for investigating the Sun and other celestial entities. She holds the conviction that the amalgamation of physics and computer science offers a potent avenue for advancing our cosmic understanding and devising inventive solutions to intricate problems. As a dedicated and impassioned researcher, she is resolute in her commitment to making significant strides in this field and propelling our understanding of the cosmos.

Award

She is a remarkable individual, recognized as the top graduate in both the first district of Payame Noor University and across Tehran province. Her excellence extends beyond academia, as demonstrated by her achievements, including winning the 22nd Khwarizmi Youth Awards for her innovative work on Alborz state security robots. Additionally, she has been honored with certificates from prestigious competitions such as the Demo of 3rd Iran Open Robotic Competition at QIAU and the 5th Smart Mice and Robotic Competition at Islamic Azad University, Tabriz Branch. Her dedication and ingenuity in the field of robotics showcase her as a standout talent in her field.

 

Conference

She is an accomplished researcher who has made significant contributions to various scientific symposiums and conferences. Her expertise spans multiple disciplines, including physics, solar physics, and geophysics. Notably, she has presented oral presentations and posters on topics such as characterizing solar spicules, exploring damping properties of iris bright points, and investigating magnetic bright point characteristics. Her use of advanced techniques like machine learning, deep learning, and spectral analysis highlights her innovative approach to research. Additionally, her presentations on topics such as geometric components of resistivity measurement and the performance of well logging tools demonstrate her proficiency in geophysical investigations. With her collaborative efforts in poster presentations, she showcases her ability to work effectively within research teams. Overall, her contributions to the scientific community underscore her as a dedicated and accomplished researcher in her field.

 

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